Knee osteoarthritis(OA)is a common disease that impairs knee function and causes pain.Currently,studies on the detection of knee OA mainly focus on X-ray images,but X-ray images are insensitive to the changes in knee ...Knee osteoarthritis(OA)is a common disease that impairs knee function and causes pain.Currently,studies on the detection of knee OA mainly focus on X-ray images,but X-ray images are insensitive to the changes in knee OA in the early stage.Since magnetic resonance(MR)imaging can observe the early features of knee OA,the knee OA detection algorithm based on MR image is innovatively proposed to judge whether knee OA is suffered.Firstly,the knee MR images are preprocessed before training,including a region of interest clipping,slice selection,and data augmentation.Then the data set was divided by patient-level and the knee OA was classified by the deep transfer learning method based on the DenseNet201 model.The method divides the training process into two stages.The first stage freezes all the base layers and only trains the weights of the embedding neural networks.The second stage unfreezes part of the base layers and trains the unfrozen base layers and the weights of the embedding neural network.In this step,we design a block-by-block fine-tuning strategy for training based on the dense blocks,which improves detection accuracy.We have conducted training experiments with different depth modules,and the experimental results show that gradually adding more dense blocks in the fine-tuning can make the model obtain better detection performance than only training the embedded neural network layer.We achieve an accuracy of 0.921,a sensitivity of 0.960,a precision of 0.885,a specificity of 0.891,an F1-Score of 0.912,and an MCC of 0.836.The comparative experimental results on the OAI-ZIB dataset show that the proposed method outperforms the other detection methods with the accuracy of 92.1%.展开更多
BACKGROUND Congenital absence of the menisci is a rare anatomical variation characterized by the absence or underdevelopment of one or both menisci in the knee joint.The menisci are crucial in load distribution,joint ...BACKGROUND Congenital absence of the menisci is a rare anatomical variation characterized by the absence or underdevelopment of one or both menisci in the knee joint.The menisci are crucial in load distribution,joint stability,and shock absorption.Understanding the clinical presentation,diagnosis,and management of this condition is important for optimal patient care.CASE SUMMARY A 27-year-old male with a long-standing history of knee pain underwent diagnostic arthroscopy,revealing a congenital absence of the meniscus.The patient's clinical findings,imaging results,surgical procedures,and pertinent images are detailed.This case presents a unique aspect with the congenital absence of the meniscus,contributing valuable insights to the literature on rare anatomical anomalies.CONCLUSION This case of congenital absence of the menisci highlights the diagnostic challenges posed by rare anomalies.The diagnostic arthroscopy played a crucial role in identifying the absence of the meniscus and providing an explanation for the patient's persistent knee pain.The case underscores the importance of individualized treatment approaches,including physical therapy,for optimal management of rare meniscal anomalies.Further research is warranted to explore effective management strategies for the aforementioned cases and to expand our knowledge of these rare conditions.展开更多
Parkinson's disease (PD) is a neurodegenerative disorder characterized by selective and progressive degeneration, as well as loss of dopaminergic neurons in the substantia nigra. In PD, approximately 60-70% of nigr...Parkinson's disease (PD) is a neurodegenerative disorder characterized by selective and progressive degeneration, as well as loss of dopaminergic neurons in the substantia nigra. In PD, approximately 60-70% of nigrostriatal neurons are degenerated and 80% of content of the striatal dopamine is reduced before the diagnosis can be established according to widely accepted clinical diagnostic criteria. This condition describes a stage of disease called "prodromal", where non-motor symptoms, such as olfactory dysfunction, constipation, rapid eye movement behaviour disorder, depression, precede motor sign of PD. Detection of prodromal phase of PD is becoming an important goal for determining the prognosis and choosing a suitable treatment strategy. In this review, we present some non-invasive instrumental approaches that could be useful to identify patients in the prodromal phase of PD or in an early clinical phase, when the first motor symptoms begin to be apparent. Conventional magnetic resonance imaging (MRI) and advanced MRI techniques, such as magnetic resonance spectroscopy imaging, diffusion-weighted and diffusion tensor imaging and functional MRI, are useful to differentiate early PD with initial motor symptoms from atypical parkinsonian disorders, thus, making easier early diagnosis. Functional MRI and diffusion tensor imaging techniques can show abnormalities in the olfactory system in prodromal PD.展开更多
Bone marrow lesions (BMLs) on magnetic resonance (MR) images in knee osteoarthritis patients are considered to predict the severity and progression of the disease. We evaluated the histological findings of BMLs on MR ...Bone marrow lesions (BMLs) on magnetic resonance (MR) images in knee osteoarthritis patients are considered to predict the severity and progression of the disease. We evaluated the histological findings of BMLs on MR images of the subchondral area of the medial femoral condyle in varus osteoarthritic knees. In 24 patients with varus knee osteoarthritis who underwent total knee arthroplasty (TKA), sagittal T1- and T2-weighted MR images of the affected knee were acquired before TKA. During TKA, resected bone pieces from the distal medial femoral condyle were obtained. Sagittal specimens obtained from the center of the bone pieces were histologically examined. Twenty patients had BMLs. Histological findings of BMLs in the subchondral area showed various features, such as fibrovascular tissue, cyst formation, active bone remodeling with bone formation and bone resorption, and hyaline cartilage. BMLs were not found in four patients;histological findings of these patients showed normal bone marrow tissue with normal-thickness trabeculae. Subchondral bony end plate in knees with BMLs was usually thin or destroyed, while that without BMLs was thick or normal. The condition of the subchondral bony end plate would explain the differences in the severity and progression between patients with or without BMLs.展开更多
In the current study, we sought to evaluate the diagnostic efficacies of conventional ultrasound(US), contrastenhanced US(CEUS), combined US and CEUS and magnetic resonance imaging(MRI) in detecting focal solid ...In the current study, we sought to evaluate the diagnostic efficacies of conventional ultrasound(US), contrastenhanced US(CEUS), combined US and CEUS and magnetic resonance imaging(MRI) in detecting focal solid breast lesions. Totally 117 patients with 120 BI-RADS category 4A-5 breast lesions were evaluated by conventional US and CEUS, and MRI, respectively. SonoVue was used as contrast agent in CEUS and injected as an intravenous bolus; nodule scan was performed 4 minutes after bolus injection. A specific sonographic quantification software was used to obtain color-coded maps of perfusion parameters for the investigated lesion, namely the time-intensity curve.The pattern of contrast enhancement and related indexes regarding the time-intensity curve were used to describe the lesions, comparatively with pathological results. Histopathologic examination revealed 46 benign and 74 malignant lesions. Sensitivity, specificity, and accuracy of US in detecting malignant breast lesions were 90.14%, 95.92%, and 92.52%, respectively. Meanwhile, CE-MRI showed sensitivity, specificity, and accuracy of 88.73%, 95.92%, and91.67%, respectively. The area under the ROC curve for combined US and CEUS in discriminating benign from malignant breast lesions was 0.936, while that of MRI was 0.923, with no significant difference between them, as well as among groups. The time-intensity curve of malignant hypervascular fibroadenoma and papillary lesions mostly showed a fast-in/fast-out pattern, with no good correlation between them(kappa 〈0.20). In conclusion, the combined use of conventional US and CEUS displays good agreement with MRI in differentiating benign from malignant breast lesions.展开更多
AIM To determine whether three-dimensional(3D) reconstruction from conventional magnetic resonance imaging(MRI) is able to accurately detect a meniscal tear, and define the configuration.METHODS Thirty-three patients&...AIM To determine whether three-dimensional(3D) reconstruction from conventional magnetic resonance imaging(MRI) is able to accurately detect a meniscal tear, and define the configuration.METHODS Thirty-three patients' 3T MRI scan data were collected and sagittal uni-planar 3D reconstructions performed from the preoperative MRI. There were 24 meniscal tears in 24 patients, and nine controls. All patients had arthroscopic corroboration of MRI findings. Two independent observers prospectively reported on all 33 reconstructions. Meniscal tear presence or absence was noted, and tear configuration subsequently categorised as either radial, bucket-handle, parrot beak, horizontal or complex.RESULTS Identification of control menisci or meniscal tear presence was excellent(Accuracy: observer 1 = 90.9%; observer 2 = 81.8%). Of the tear configurations, bucket handle tears were accurately identified(Accuracy observer 1 and 2 = 80%). The remaining tear configurations were notaccurately discernable.CONCLUSION Uni-planar 3D reconstruction from 3T MRI knee scan sequences are useful in identifying normal menisci and menisci with bucket-handle tears. Advances in MRI sequencing and reconstruction software are awaited for accurate identification of the remaining meniscal tear configurations.展开更多
Summary: To evaluate lesion detection of MRI in knee joint osteoarthritis in patients with symptoms of pain, the correlation between MRI findings and varying degrees of reported pain was assessed. Twenty-eight patien...Summary: To evaluate lesion detection of MRI in knee joint osteoarthritis in patients with symptoms of pain, the correlation between MRI findings and varying degrees of reported pain was assessed. Twenty-eight patients (31 knees) with osteoarthritis were recruited for this study. The degree of knee pain was assessed by VRS scores. The knees were evaluated by plain film radiograph utilizing Kellgren-Lawrence scores. Multiple MR sequences were performed on a 1.5T MR-system, including sagittal and coronal dual fast spin echo (TRITE 3660/11/120 ms, slice thickness 5 mm), coronal spin echo T1-weighted (TR/TE 360/9 ms, slice thickness 5 mm), sagittal fat saturated 3D-spoiled gradient-recalled echo (TR/TE 50/6 ms; slice thickness 1.5 mm; flip angle 40°), and 3D steady-state free precession (TR/TE 6/2.2 ms; slice thickness 1.6 mm; flip angle 30°) pulse sequences for the purpose of detecting abnormities of cartilage, menisci, the anterior cruciate ligaments, bone marrow edema-like lesions, osteophytes, synovitis, and joint effusions. MR findings were compared with the degree of pain using Fisher exact test with P values less than 0.05 indicating a statistically significant difference. The results showed that, of the 31 knees evaluated, mild pain was reported in 11 and severe pain in the remainder. Kellgren-Lawrence scores of all 31 evaluated OA knees were as follows: grade 1 lesions (n=6), grade 2 lesions (n=14), grade 3 lesions (n=8), and grade 4 lesions (n=3). Articular cartilaginous defects were found in 37.1% of knees. Abnormalities of the menisci and anterior cruciate ligaments, bone marrow edema-like lesions, osteophytes, synovitis, and joint effusions were detected in 32.3%, 38.7%, 45.2%, 100%, 15.1% and 67.7% of knees, respectively. Of these variables, only the differences in prevalence of joint effusions were significantly different in the mild and severe pain groups (P=0.004). It is concluded that MRI evaluates the entire joint structure of the osteoarthritic knee, demonstrating abnormalities of the cartilage, menisci, and anterior cruciate ligaments as well as bone marrow edema-like lesions, osteophytes, synovitis, and joint effusions. The difference in pain grading between OA patients reporting mild and severe degrees of pain is related to the presence of joint effusion.展开更多
Purpose: To evaluate a me-vTE-SPGR (multi echo variable TE Spoiled Gradient Echo Sequence) approach for quantitative T2* mapping of the ME (menisci), the PT (patellar tendon), the ACL (anterior cruciate ligam...Purpose: To evaluate a me-vTE-SPGR (multi echo variable TE Spoiled Gradient Echo Sequence) approach for quantitative T2* mapping of the ME (menisci), the PT (patellar tendon), the ACL (anterior cruciate ligament), the PCL (posterior cruciate ligament) and to compare the results between normal and pathological tissue of the ME in the knee joint at 3T (3 Tesla). Methods: Eighteen consecutive knee patients (35.7± 11.6 years) were examined on 3T. In addition to standard morphological MRI, T2*-maps were derived from a 0.7 mm isotropic me-vTE-SPGR scan. T2*-values were assessed by two independent observers using an ROI analysis for the ME (4 different regions: posterior and anterior horn of the medial and lateral meniscus), PT, ACL and PCL. Intra-class correlation between readers was calculated. Results: On morphological MRI, the PT, ACL and PCL were diagnosed as normal in all cases. Degenerative meniscus and meniscal tears were diagnosed in 13 cases and 9 cases, respectively. T2*-values of the menisci on me-vTE-SPGR scans, in relation to morphological imaging, were normal (N = 50; 6.0 ±0.9 ms); degenerative meniscus (N = 13; 8.0± 1.6 ms); meniscal tears (N = 9; 12.9 ±3.9 ms), with significant differences between all groups (P 〈 0.05)/ significantly higher T2*-values in degenerative meniscus and meniscal tears. Mean T2* relaxation times for the PT, ACL and PCL were 2.9± 0.8 ms, 8.4 ± 1.6 ms and 8.9 + 1.3 ms respectively. Intra-class correlation values between readers for the ME, PT, ACL and PCL were R2 = 0.962, R2 = 0.927, R2 = 0.594 and R2= 0.648, respectively. Conclusion: Isotropic 3D (three-dimensional) me vTE-SPGR imaging is able to quantify T2* values of multiple tissues in the knee joint with short T2 relaxation times.展开更多
AIM To investigate whether normal thickness cartilage in osteoarthritic knees demonstrate depletion of proteoglycan or collagen content compared to healthy knees.METHODS Magnetic resonance(MR) images were acquired fro...AIM To investigate whether normal thickness cartilage in osteoarthritic knees demonstrate depletion of proteoglycan or collagen content compared to healthy knees.METHODS Magnetic resonance(MR) images were acquired from5 subjects scheduled for total knee arthroplasty(TKA)(mean age 70 years) and 20 young healthy control subjects without knee pain(mean age 28.9 years). MR images of T1ρ mapping, T2 mapping, and fat suppressed proton-density weighted sequences were obtained.Following TKA each condyle was divided into 4 parts(distal medial, posterior medial, distal lateral, posterior lateral) for cartilage analysis. Twenty specimens(bone and cartilage blocks) were examined. For each joint,the degree and extent of cartilage destruction was determined using the Osteoarthritis Research Society International cartilage histopathology assessment system.In magnetic resonance imaging(MRI) analysis, 2 readers performed cartilage segmentation for T1ρ/T2 values and cartilage thickness measurement.RESULTS Eleven areas in MRI including normal or near normal cartilage thickness were selected. The corresponding histopathological sections demonstrated mild to moderate osteoarthritis(OA). There was no significant difference in cartilage thickness in MRI between control and advanced OA samples [medial distal condyle, P = 0.461;medial posterior condyle(MPC), P = 0.352; lateral distal condyle, P = 0.654; lateral posterior condyle, P = 0.550],suggesting arthritic specimens were morphologically similar to normal or early staged degenerative cartilage.Cartilage T2 and T1ρ values from the MPC were significantly higher among the patients with advanced OA(P= 0.043). For remaining condylar samples there was no statistical difference in T2 and T1ρ values between cases and controls but there was a trend towards higher values in advanced OA patients. CONCLUSION Though cartilage is morphologically normal or near normal, degenerative changes exist in advanced OA patients. These changes can be detected with T2 and T1ρ MRI techniques.展开更多
Attrition and eventual loss of articular cartilage are important elements in the pathophysiology of osteoarthritis(OA).Preventing the breakdown of cartilage is believed to be critical to preserve the functional integr...Attrition and eventual loss of articular cartilage are important elements in the pathophysiology of osteoarthritis(OA).Preventing the breakdown of cartilage is believed to be critical to preserve the functional integrity of a joint.Chondral injuries are also common in the knee joint,and many patients benefit from cartilage repair.Magnetic resonance imaging(MRI) and advanced digital post-processing techniques have opened possibilities for in vivo analysis of cartilage morphology,structure,and function in healthy and diseased knee joints.Techniques of semi-quantitative scoring of human knee cartilage pathology and quantitative assessment of human cartilage have been developed.Cartilage thickness and volume have been quantified in humans as well as in small animals.MRI detected cartilage loss has been shown to be more sensitive than radiographs detecting joint space narrowing.It is possible to longitudinally study knee cartilage morphology with enough accuracy to follow the disease-caused changes and also evaluate the therapeutic effects of chondro-protective drugs.There are also several MRI methods that may allow evaluation of the glycosaminoglycan matrix or collagen network of articular car-tilage,and may be more sensitive for the detection of early changes.The clinical relevance of these methods is being validated.With the development of new therapies for OA and cartilage injury,MR images will play an important role in the diagnosis,staging,and evaluation of the effectiveness of these therapies.展开更多
Osteonecrosis is a very rare complication of Crohn’s disease (CD). It is not clear if it is related to corticosteroid therapy or if it occurs as an extraintestinal manifestation of inflammatory bowel disease...Osteonecrosis is a very rare complication of Crohn’s disease (CD). It is not clear if it is related to corticosteroid therapy or if it occurs as an extraintestinal manifestation of inflammatory bowel disease. We present the case of a patient with CD who presented with osteonecrosis of both knees. A 22 years old woman was diagnosed with CD in April 2012 (Montreal Classification A2L1 + L4B3p). She was started on prednisolone (40 mg/d), azathioprine (100 mg/d) and messalazine (3 g/d). In July 2012, due to active perianal disease, infliximab therapy was initiated. In September 2012, she had a pelvic abscess complicated by peritonitis and an ileal segmental resection and right hemicolectomy were performed. In December 2012 she was diagnosed with bilateral septic arthritis of both knees with walking impairment. She was treated with amoxicillin-clavulanic acid, started a physical rehabilitation program and progressively improved. However, then, bilateral knee pain exacerbated by movement developed. Magnetic resonance imaging showed multiple osseous medullary infarcts in the distal extremity of the femurs, proximal extremity of the tibiae and patellas and no signs of subchondral collapse, which is consistent with osteonecrosis. The patient recovered completely and maintains therapy with azathioprine and messalazine. A review of the literature is also done.展开更多
BACKGROUND Discoid meniscus is a congenital anomaly that typically affects the lateral meniscus.The appearance of the discoid medial meniscus in both knees is extremely rare,with an incidence of only 0.012%.CASE SUMMA...BACKGROUND Discoid meniscus is a congenital anomaly that typically affects the lateral meniscus.The appearance of the discoid medial meniscus in both knees is extremely rare,with an incidence of only 0.012%.CASE SUMMARY Our patient was a 30-year-old female.Under no obvious predisposing causes,she began to experience pain in both knees,which worsened while walking and squatting.The pain was aggravated after exercise,and joint flexion and extension activities were accompanied by knee snapping.Apley’s test was positive on physical examination,and there was a pressing pain in the medial articular space.Plain radiographs of both knees revealed no obvious abnormalities in the bilateral knee joint space.Partial meniscectomy as well as menisci reformation were performed on both knees under arthroscopy.Under the guidance of rehabilitation,the patient’s range of motion in both knees returned to normal without pain and knee snapping.CONCLUSION This study showed that the clinical manifestations of the discoid medial meniscus injury are identical to those of the conventional medial meniscus injury,and arthroscopic surgery is effective.展开更多
To evaluate in an interventional trial on knee osteoarthritis(OA) the level and change of two serum biomarkers and their correlation with imaging parameters.The previously reported interventional OA study(ClinicalT...To evaluate in an interventional trial on knee osteoarthritis(OA) the level and change of two serum biomarkers and their correlation with imaging parameters.The previously reported interventional OA study(ClinicalTrials.gov:NCT00536302) identified a positive effect of collagen hydrolysate(CH) on cartilage morphology in patients with knee OA using delayed gadolinium enhanced magnetic resonance imaging(dGEMRIC).It was the objective in this research project to evaluate in an interventional clinical trial on knee OA the level and change of two serum biomarkers and their correlation with imaging parameters.In blood samples of study participants,we determined the concentration of procollagen type II N-terminal propeptide(PIIANP) and aggrecan chondroitin sulfate 846 epitope(CS846) at baseline(BL) and at the follow-up(FU) visits at 24 and 48 weeks.We measured the level and change of biomarker concentrations in both study groups,and the correlation of those changes with changes in dGEMRIC.For the biomarker PIIANP,we observed a significantly greater increase in the CH group(29.9%vs.1.2%at week 24,P =0.001).For CS846,the mean concentration was lower among the CH treated participants at 24 weeks(78%vs.96%,P= 0.045).Consistent correlations of changes in biomarkers PIIANP and CS846 with changes of the dGEMRIC score could not be observed.In this study,different changes per treatment group,CH and placebo were seen for dGEMRIC and PIIANP BL to 24 weeks FU,but only weak correlations between changes in dGEMRIC and biochemical markers.展开更多
X-Ray knee imaging is widely used to detect knee osteoarthritis due to ease of availability and lesser cost.However,the manual categorization of knee joint disorders is time-consuming,requires an expert person,and is ...X-Ray knee imaging is widely used to detect knee osteoarthritis due to ease of availability and lesser cost.However,the manual categorization of knee joint disorders is time-consuming,requires an expert person,and is costly.This article proposes a new approach to classifying knee osteoarthritis using deep learning and a whale optimization algorithm.Two pre-trained deep learning models(Efficientnet-b0 and Densenet201)have been employed for the training and feature extraction.Deep transfer learning with fixed hyperparameter values has been employed to train both selected models on the knee X-Ray images.In the next step,fusion is performed using a canonical correlation approach and obtained a feature vector that has more information than the original feature vector.After that,an improved whale optimization algorithm is developed for dimensionality reduction.The selected features are finally passed to the machine learning algorithms such as Fine-Tuned support vector machine(SVM)and neural networks for classification purposes.The experiments of the proposed framework have been conducted on the publicly available dataset and obtained the maximum accuracy of 90.1%.Also,the system is explained using Explainable Artificial Intelligence(XAI)technique called occlusion,and results are compared with recent research.Based on the results compared with recent techniques,it is shown that the proposed method’s accuracy significantly improved.展开更多
基金The authors extend their appreciation to the Jilin Provincial Natural Science Foundation for funding this research work through Project Number(20220101128JC).
文摘Knee osteoarthritis(OA)is a common disease that impairs knee function and causes pain.Currently,studies on the detection of knee OA mainly focus on X-ray images,but X-ray images are insensitive to the changes in knee OA in the early stage.Since magnetic resonance(MR)imaging can observe the early features of knee OA,the knee OA detection algorithm based on MR image is innovatively proposed to judge whether knee OA is suffered.Firstly,the knee MR images are preprocessed before training,including a region of interest clipping,slice selection,and data augmentation.Then the data set was divided by patient-level and the knee OA was classified by the deep transfer learning method based on the DenseNet201 model.The method divides the training process into two stages.The first stage freezes all the base layers and only trains the weights of the embedding neural networks.The second stage unfreezes part of the base layers and trains the unfrozen base layers and the weights of the embedding neural network.In this step,we design a block-by-block fine-tuning strategy for training based on the dense blocks,which improves detection accuracy.We have conducted training experiments with different depth modules,and the experimental results show that gradually adding more dense blocks in the fine-tuning can make the model obtain better detection performance than only training the embedded neural network layer.We achieve an accuracy of 0.921,a sensitivity of 0.960,a precision of 0.885,a specificity of 0.891,an F1-Score of 0.912,and an MCC of 0.836.The comparative experimental results on the OAI-ZIB dataset show that the proposed method outperforms the other detection methods with the accuracy of 92.1%.
文摘BACKGROUND Congenital absence of the menisci is a rare anatomical variation characterized by the absence or underdevelopment of one or both menisci in the knee joint.The menisci are crucial in load distribution,joint stability,and shock absorption.Understanding the clinical presentation,diagnosis,and management of this condition is important for optimal patient care.CASE SUMMARY A 27-year-old male with a long-standing history of knee pain underwent diagnostic arthroscopy,revealing a congenital absence of the meniscus.The patient's clinical findings,imaging results,surgical procedures,and pertinent images are detailed.This case presents a unique aspect with the congenital absence of the meniscus,contributing valuable insights to the literature on rare anatomical anomalies.CONCLUSION This case of congenital absence of the menisci highlights the diagnostic challenges posed by rare anomalies.The diagnostic arthroscopy played a crucial role in identifying the absence of the meniscus and providing an explanation for the patient's persistent knee pain.The case underscores the importance of individualized treatment approaches,including physical therapy,for optimal management of rare meniscal anomalies.Further research is warranted to explore effective management strategies for the aforementioned cases and to expand our knowledge of these rare conditions.
文摘Parkinson's disease (PD) is a neurodegenerative disorder characterized by selective and progressive degeneration, as well as loss of dopaminergic neurons in the substantia nigra. In PD, approximately 60-70% of nigrostriatal neurons are degenerated and 80% of content of the striatal dopamine is reduced before the diagnosis can be established according to widely accepted clinical diagnostic criteria. This condition describes a stage of disease called "prodromal", where non-motor symptoms, such as olfactory dysfunction, constipation, rapid eye movement behaviour disorder, depression, precede motor sign of PD. Detection of prodromal phase of PD is becoming an important goal for determining the prognosis and choosing a suitable treatment strategy. In this review, we present some non-invasive instrumental approaches that could be useful to identify patients in the prodromal phase of PD or in an early clinical phase, when the first motor symptoms begin to be apparent. Conventional magnetic resonance imaging (MRI) and advanced MRI techniques, such as magnetic resonance spectroscopy imaging, diffusion-weighted and diffusion tensor imaging and functional MRI, are useful to differentiate early PD with initial motor symptoms from atypical parkinsonian disorders, thus, making easier early diagnosis. Functional MRI and diffusion tensor imaging techniques can show abnormalities in the olfactory system in prodromal PD.
文摘Bone marrow lesions (BMLs) on magnetic resonance (MR) images in knee osteoarthritis patients are considered to predict the severity and progression of the disease. We evaluated the histological findings of BMLs on MR images of the subchondral area of the medial femoral condyle in varus osteoarthritic knees. In 24 patients with varus knee osteoarthritis who underwent total knee arthroplasty (TKA), sagittal T1- and T2-weighted MR images of the affected knee were acquired before TKA. During TKA, resected bone pieces from the distal medial femoral condyle were obtained. Sagittal specimens obtained from the center of the bone pieces were histologically examined. Twenty patients had BMLs. Histological findings of BMLs in the subchondral area showed various features, such as fibrovascular tissue, cyst formation, active bone remodeling with bone formation and bone resorption, and hyaline cartilage. BMLs were not found in four patients;histological findings of these patients showed normal bone marrow tissue with normal-thickness trabeculae. Subchondral bony end plate in knees with BMLs was usually thin or destroyed, while that without BMLs was thick or normal. The condition of the subchondral bony end plate would explain the differences in the severity and progression between patients with or without BMLs.
基金supported by the Natural Science Foundation of Jiangsu University(14KJB320003)
文摘In the current study, we sought to evaluate the diagnostic efficacies of conventional ultrasound(US), contrastenhanced US(CEUS), combined US and CEUS and magnetic resonance imaging(MRI) in detecting focal solid breast lesions. Totally 117 patients with 120 BI-RADS category 4A-5 breast lesions were evaluated by conventional US and CEUS, and MRI, respectively. SonoVue was used as contrast agent in CEUS and injected as an intravenous bolus; nodule scan was performed 4 minutes after bolus injection. A specific sonographic quantification software was used to obtain color-coded maps of perfusion parameters for the investigated lesion, namely the time-intensity curve.The pattern of contrast enhancement and related indexes regarding the time-intensity curve were used to describe the lesions, comparatively with pathological results. Histopathologic examination revealed 46 benign and 74 malignant lesions. Sensitivity, specificity, and accuracy of US in detecting malignant breast lesions were 90.14%, 95.92%, and 92.52%, respectively. Meanwhile, CE-MRI showed sensitivity, specificity, and accuracy of 88.73%, 95.92%, and91.67%, respectively. The area under the ROC curve for combined US and CEUS in discriminating benign from malignant breast lesions was 0.936, while that of MRI was 0.923, with no significant difference between them, as well as among groups. The time-intensity curve of malignant hypervascular fibroadenoma and papillary lesions mostly showed a fast-in/fast-out pattern, with no good correlation between them(kappa 〈0.20). In conclusion, the combined use of conventional US and CEUS displays good agreement with MRI in differentiating benign from malignant breast lesions.
文摘AIM To determine whether three-dimensional(3D) reconstruction from conventional magnetic resonance imaging(MRI) is able to accurately detect a meniscal tear, and define the configuration.METHODS Thirty-three patients' 3T MRI scan data were collected and sagittal uni-planar 3D reconstructions performed from the preoperative MRI. There were 24 meniscal tears in 24 patients, and nine controls. All patients had arthroscopic corroboration of MRI findings. Two independent observers prospectively reported on all 33 reconstructions. Meniscal tear presence or absence was noted, and tear configuration subsequently categorised as either radial, bucket-handle, parrot beak, horizontal or complex.RESULTS Identification of control menisci or meniscal tear presence was excellent(Accuracy: observer 1 = 90.9%; observer 2 = 81.8%). Of the tear configurations, bucket handle tears were accurately identified(Accuracy observer 1 and 2 = 80%). The remaining tear configurations were notaccurately discernable.CONCLUSION Uni-planar 3D reconstruction from 3T MRI knee scan sequences are useful in identifying normal menisci and menisci with bucket-handle tears. Advances in MRI sequencing and reconstruction software are awaited for accurate identification of the remaining meniscal tear configurations.
基金supported by grants from the National Natural Sciences Foundation of China (No. 30670605,30870701)
文摘Summary: To evaluate lesion detection of MRI in knee joint osteoarthritis in patients with symptoms of pain, the correlation between MRI findings and varying degrees of reported pain was assessed. Twenty-eight patients (31 knees) with osteoarthritis were recruited for this study. The degree of knee pain was assessed by VRS scores. The knees were evaluated by plain film radiograph utilizing Kellgren-Lawrence scores. Multiple MR sequences were performed on a 1.5T MR-system, including sagittal and coronal dual fast spin echo (TRITE 3660/11/120 ms, slice thickness 5 mm), coronal spin echo T1-weighted (TR/TE 360/9 ms, slice thickness 5 mm), sagittal fat saturated 3D-spoiled gradient-recalled echo (TR/TE 50/6 ms; slice thickness 1.5 mm; flip angle 40°), and 3D steady-state free precession (TR/TE 6/2.2 ms; slice thickness 1.6 mm; flip angle 30°) pulse sequences for the purpose of detecting abnormities of cartilage, menisci, the anterior cruciate ligaments, bone marrow edema-like lesions, osteophytes, synovitis, and joint effusions. MR findings were compared with the degree of pain using Fisher exact test with P values less than 0.05 indicating a statistically significant difference. The results showed that, of the 31 knees evaluated, mild pain was reported in 11 and severe pain in the remainder. Kellgren-Lawrence scores of all 31 evaluated OA knees were as follows: grade 1 lesions (n=6), grade 2 lesions (n=14), grade 3 lesions (n=8), and grade 4 lesions (n=3). Articular cartilaginous defects were found in 37.1% of knees. Abnormalities of the menisci and anterior cruciate ligaments, bone marrow edema-like lesions, osteophytes, synovitis, and joint effusions were detected in 32.3%, 38.7%, 45.2%, 100%, 15.1% and 67.7% of knees, respectively. Of these variables, only the differences in prevalence of joint effusions were significantly different in the mild and severe pain groups (P=0.004). It is concluded that MRI evaluates the entire joint structure of the osteoarthritic knee, demonstrating abnormalities of the cartilage, menisci, and anterior cruciate ligaments as well as bone marrow edema-like lesions, osteophytes, synovitis, and joint effusions. The difference in pain grading between OA patients reporting mild and severe degrees of pain is related to the presence of joint effusion.
文摘Purpose: To evaluate a me-vTE-SPGR (multi echo variable TE Spoiled Gradient Echo Sequence) approach for quantitative T2* mapping of the ME (menisci), the PT (patellar tendon), the ACL (anterior cruciate ligament), the PCL (posterior cruciate ligament) and to compare the results between normal and pathological tissue of the ME in the knee joint at 3T (3 Tesla). Methods: Eighteen consecutive knee patients (35.7± 11.6 years) were examined on 3T. In addition to standard morphological MRI, T2*-maps were derived from a 0.7 mm isotropic me-vTE-SPGR scan. T2*-values were assessed by two independent observers using an ROI analysis for the ME (4 different regions: posterior and anterior horn of the medial and lateral meniscus), PT, ACL and PCL. Intra-class correlation between readers was calculated. Results: On morphological MRI, the PT, ACL and PCL were diagnosed as normal in all cases. Degenerative meniscus and meniscal tears were diagnosed in 13 cases and 9 cases, respectively. T2*-values of the menisci on me-vTE-SPGR scans, in relation to morphological imaging, were normal (N = 50; 6.0 ±0.9 ms); degenerative meniscus (N = 13; 8.0± 1.6 ms); meniscal tears (N = 9; 12.9 ±3.9 ms), with significant differences between all groups (P 〈 0.05)/ significantly higher T2*-values in degenerative meniscus and meniscal tears. Mean T2* relaxation times for the PT, ACL and PCL were 2.9± 0.8 ms, 8.4 ± 1.6 ms and 8.9 + 1.3 ms respectively. Intra-class correlation values between readers for the ME, PT, ACL and PCL were R2 = 0.962, R2 = 0.927, R2 = 0.594 and R2= 0.648, respectively. Conclusion: Isotropic 3D (three-dimensional) me vTE-SPGR imaging is able to quantify T2* values of multiple tissues in the knee joint with short T2 relaxation times.
基金Supported by The National Center for Research Resources and the National Center for Advancing Translational Sciences,National Institutes of Health,No.UL1 TR000153
文摘AIM To investigate whether normal thickness cartilage in osteoarthritic knees demonstrate depletion of proteoglycan or collagen content compared to healthy knees.METHODS Magnetic resonance(MR) images were acquired from5 subjects scheduled for total knee arthroplasty(TKA)(mean age 70 years) and 20 young healthy control subjects without knee pain(mean age 28.9 years). MR images of T1ρ mapping, T2 mapping, and fat suppressed proton-density weighted sequences were obtained.Following TKA each condyle was divided into 4 parts(distal medial, posterior medial, distal lateral, posterior lateral) for cartilage analysis. Twenty specimens(bone and cartilage blocks) were examined. For each joint,the degree and extent of cartilage destruction was determined using the Osteoarthritis Research Society International cartilage histopathology assessment system.In magnetic resonance imaging(MRI) analysis, 2 readers performed cartilage segmentation for T1ρ/T2 values and cartilage thickness measurement.RESULTS Eleven areas in MRI including normal or near normal cartilage thickness were selected. The corresponding histopathological sections demonstrated mild to moderate osteoarthritis(OA). There was no significant difference in cartilage thickness in MRI between control and advanced OA samples [medial distal condyle, P = 0.461;medial posterior condyle(MPC), P = 0.352; lateral distal condyle, P = 0.654; lateral posterior condyle, P = 0.550],suggesting arthritic specimens were morphologically similar to normal or early staged degenerative cartilage.Cartilage T2 and T1ρ values from the MPC were significantly higher among the patients with advanced OA(P= 0.043). For remaining condylar samples there was no statistical difference in T2 and T1ρ values between cases and controls but there was a trend towards higher values in advanced OA patients. CONCLUSION Though cartilage is morphologically normal or near normal, degenerative changes exist in advanced OA patients. These changes can be detected with T2 and T1ρ MRI techniques.
文摘Attrition and eventual loss of articular cartilage are important elements in the pathophysiology of osteoarthritis(OA).Preventing the breakdown of cartilage is believed to be critical to preserve the functional integrity of a joint.Chondral injuries are also common in the knee joint,and many patients benefit from cartilage repair.Magnetic resonance imaging(MRI) and advanced digital post-processing techniques have opened possibilities for in vivo analysis of cartilage morphology,structure,and function in healthy and diseased knee joints.Techniques of semi-quantitative scoring of human knee cartilage pathology and quantitative assessment of human cartilage have been developed.Cartilage thickness and volume have been quantified in humans as well as in small animals.MRI detected cartilage loss has been shown to be more sensitive than radiographs detecting joint space narrowing.It is possible to longitudinally study knee cartilage morphology with enough accuracy to follow the disease-caused changes and also evaluate the therapeutic effects of chondro-protective drugs.There are also several MRI methods that may allow evaluation of the glycosaminoglycan matrix or collagen network of articular car-tilage,and may be more sensitive for the detection of early changes.The clinical relevance of these methods is being validated.With the development of new therapies for OA and cartilage injury,MR images will play an important role in the diagnosis,staging,and evaluation of the effectiveness of these therapies.
文摘Osteonecrosis is a very rare complication of Crohn’s disease (CD). It is not clear if it is related to corticosteroid therapy or if it occurs as an extraintestinal manifestation of inflammatory bowel disease. We present the case of a patient with CD who presented with osteonecrosis of both knees. A 22 years old woman was diagnosed with CD in April 2012 (Montreal Classification A2L1 + L4B3p). She was started on prednisolone (40 mg/d), azathioprine (100 mg/d) and messalazine (3 g/d). In July 2012, due to active perianal disease, infliximab therapy was initiated. In September 2012, she had a pelvic abscess complicated by peritonitis and an ileal segmental resection and right hemicolectomy were performed. In December 2012 she was diagnosed with bilateral septic arthritis of both knees with walking impairment. She was treated with amoxicillin-clavulanic acid, started a physical rehabilitation program and progressively improved. However, then, bilateral knee pain exacerbated by movement developed. Magnetic resonance imaging showed multiple osseous medullary infarcts in the distal extremity of the femurs, proximal extremity of the tibiae and patellas and no signs of subchondral collapse, which is consistent with osteonecrosis. The patient recovered completely and maintains therapy with azathioprine and messalazine. A review of the literature is also done.
基金Supported by the National Natural Science Foundation of China,No.81871814Jining City Key Research and Development Plan,No.2021YXNS076。
文摘BACKGROUND Discoid meniscus is a congenital anomaly that typically affects the lateral meniscus.The appearance of the discoid medial meniscus in both knees is extremely rare,with an incidence of only 0.012%.CASE SUMMARY Our patient was a 30-year-old female.Under no obvious predisposing causes,she began to experience pain in both knees,which worsened while walking and squatting.The pain was aggravated after exercise,and joint flexion and extension activities were accompanied by knee snapping.Apley’s test was positive on physical examination,and there was a pressing pain in the medial articular space.Plain radiographs of both knees revealed no obvious abnormalities in the bilateral knee joint space.Partial meniscectomy as well as menisci reformation were performed on both knees under arthroscopy.Under the guidance of rehabilitation,the patient’s range of motion in both knees returned to normal without pain and knee snapping.CONCLUSION This study showed that the clinical manifestations of the discoid medial meniscus injury are identical to those of the conventional medial meniscus injury,and arthroscopic surgery is effective.
基金The original interventional study(NCT00536302) had been sponsored by the company Gelita and the company-specific brand of CH had been used
文摘To evaluate in an interventional trial on knee osteoarthritis(OA) the level and change of two serum biomarkers and their correlation with imaging parameters.The previously reported interventional OA study(ClinicalTrials.gov:NCT00536302) identified a positive effect of collagen hydrolysate(CH) on cartilage morphology in patients with knee OA using delayed gadolinium enhanced magnetic resonance imaging(dGEMRIC).It was the objective in this research project to evaluate in an interventional clinical trial on knee OA the level and change of two serum biomarkers and their correlation with imaging parameters.In blood samples of study participants,we determined the concentration of procollagen type II N-terminal propeptide(PIIANP) and aggrecan chondroitin sulfate 846 epitope(CS846) at baseline(BL) and at the follow-up(FU) visits at 24 and 48 weeks.We measured the level and change of biomarker concentrations in both study groups,and the correlation of those changes with changes in dGEMRIC.For the biomarker PIIANP,we observed a significantly greater increase in the CH group(29.9%vs.1.2%at week 24,P =0.001).For CS846,the mean concentration was lower among the CH treated participants at 24 weeks(78%vs.96%,P= 0.045).Consistent correlations of changes in biomarkers PIIANP and CS846 with changes of the dGEMRIC score could not be observed.In this study,different changes per treatment group,CH and placebo were seen for dGEMRIC and PIIANP BL to 24 weeks FU,but only weak correlations between changes in dGEMRIC and biochemical markers.
基金supported by“Human Resources Program in Energy Technology”of the Korea Institute of Energy Technology Evaluation and Planning (KETEP),granted financial resources from the Ministry of Trade,Industry&Energy,Republic of Korea.(No.20204010600090).
文摘X-Ray knee imaging is widely used to detect knee osteoarthritis due to ease of availability and lesser cost.However,the manual categorization of knee joint disorders is time-consuming,requires an expert person,and is costly.This article proposes a new approach to classifying knee osteoarthritis using deep learning and a whale optimization algorithm.Two pre-trained deep learning models(Efficientnet-b0 and Densenet201)have been employed for the training and feature extraction.Deep transfer learning with fixed hyperparameter values has been employed to train both selected models on the knee X-Ray images.In the next step,fusion is performed using a canonical correlation approach and obtained a feature vector that has more information than the original feature vector.After that,an improved whale optimization algorithm is developed for dimensionality reduction.The selected features are finally passed to the machine learning algorithms such as Fine-Tuned support vector machine(SVM)and neural networks for classification purposes.The experiments of the proposed framework have been conducted on the publicly available dataset and obtained the maximum accuracy of 90.1%.Also,the system is explained using Explainable Artificial Intelligence(XAI)technique called occlusion,and results are compared with recent research.Based on the results compared with recent techniques,it is shown that the proposed method’s accuracy significantly improved.