Discrimination of Metastatic from Non-metastatic Mesorectal Lymph Nodes in Rectal Cancer Using Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Preoperative detection of lymph nodes（LNs） metastasis is always highly challenging for radiologists nowadays. The utility of quantitative dynamic contrast-enhanced magnetic resonance imaging（QDCE-MRI） in identifying LNs metastasis is not well understood. In the present study, 59 patients with histologically proven rectal carcinoma underwent preoperative QDCE-MRI. The short axis diameter ratio, long axis diameter ratio, short-to-long axis diameter ratio and QDEC-MRI parameters（Ktrans, Kep, fPV and Ve） values were compared between the non-metastatic（n=44） and metastatic（n=35） LNs groups based on pathological examination. Compared with the non-metastatic group, the metastatic group exhibited significantly higher short axis diameter（7.558±0.668 mm vs. 5.427±0.285 mm）, Ktrans（0.483±0.198 min-1 vs. 0.218±0.116 min^-1） and Ve（0.399±0.118 vs. 0.203±0.096） values（all P〈0.05）. The short-to-long axis diameter ratio, long axis diameter ratio, Kep and fPV values did not show significant differences between the two groups. In conclusion, our results showed that for LNs larger than 5 mm in rectal cancer, there are distinctive differences in the Ktrans and Ve values between the metastatic and non-metastatic LNs, suggesting that QDCE-MRI may be potentially helpful in identifying LNs status.

Dual-input two-compartment pharmacokinetic model of dynamic contrast-enhanced magnetic resonance imaging in hepatocellular carcinoma

AIM: To investigate the feasibility of a dual-input two-compartment tracer kinetic model for evaluating tumorous microvascular properties in advanced hepatocellular carcinoma(HCC). METHODS: From January 2014 to April 2015, we prospectively measured and analyzed pharmacokinetic parameters [transfer constant(K_(trans)), plasma flow(F_p), permeability surface area product(PS), efflux rate constant(k_(ep)), extravascular extracellular space volume ratio(V_e), blood plasma volume ratio(V_p), and hepatic perfusion index(HPI)] using dual-input two-compartment tracer kinetic models [a dual-input extended Tofts model and a dual-input 2-compartment exchange model(2CXM)] in 28 consecutive HCC patients. A well-known consensus that HCC is a hypervascular tumor supplied by the hepatic artery and the portal vein was used as a reference standard. A paired Student's t-test and a nonparametric paired Wilcoxon rank sum test were used to compare the equivalent pharmacokinetic parameters derived from the two models, and Pearson correlation analysis was also applied to observe the correlations among all equivalent parameters. The tumor size and pharmacokinetic parameters were tested by Pearson correlation analysis, while correlations among stage, tumor size and all pharmacokinetic parameters were assessed by Spearman correlation analysis. RESULTS: The F_p value was greater than the PS value(F_P = 1.07 m L/m L per minute, PS = 0.19 m L/m L per minute) in the dual-input 2CXM; HPI was 0.66 and 0.63 in the dual-input extended Tofts model and the dualinput 2CXM, respectively. There were no significant differences in the K_(ep), V_p, or HPI between the dual-input extended Tofts model and the dual-input 2CXM(P = 0.524, 0.569, and 0.622, respectively). All equivalent pharmacokinetic parameters, except for V_e, were correlated in the two dual-input two-compartment pharmacokinetic models; both Fp and PS in the dualinput 2CXM were correlated with K_(trans) derived from the dual-input extended Tofts model(P = 0.002, r = 0.566; P = 0.002, r = 0.570); K_(ep), V_p, and HPI between the two kinetic models were positively correlated(P = 0.001, r = 0.594; P = 0.0001, r = 0.686; P = 0.04, r = 0.391, respectively). In the dual input extended Tofts model, V_e was significantly less than that in the dual input 2CXM(P = 0.004), and no significant correlation was seen between the two tracer kinetic models(P = 0.156, r = 0.276). Neither tumor size nor tumor stage was significantly correlated with any of the pharmacokinetic parameters obtained from the two models(P > 0.05).CONCLUSION: A dual-input two-compartment pharmacokinetic model(a dual-input extended Tofts model and a dual-input 2CXM) can be used in assessing the microvascular physiopathological properties before the treatment of advanced HCC. The dual-input extended Tofts model may be more stable in measuring the V_e; however, the dual-input 2CXM may be more detailed and accurate in measuring microvascular permeability.

Dynamic contrast-enhanced MR imaging findings of bone metastasis in patients with prostate cancer

AIM:To evaluate the dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) findings of bone metastasis in prostate cancer patients.METHODS:Sixteen men with a diagnosis of metastatic prostate cancer to bones were examined with DCE-MRI at 1.5 Tesla.The mean contrast agent concentration vs time curves for bone metastasis and normal bone were calculated and K trans and ve values were estimated and compared.RESULTS:An early significant enhancement (wash-out:n=6,plateau:n=8 and persistent:n=2) was detected in all bone metastases (n=16).Bone metastasis from prostate cancer showed significant enhancementand high K trans and ve values compared to normal bone which does not enhance in the elderly population.The mean K trans was 0.101/mmiinn and 0.0051/mmiinn (P < 0.001),the mean ve was 0.141 and 0.0038 (P < 0.001),for bone metastases and normal bone,respectively.

Evaluation of tumor response to antiangiogenic therapy in patients with recurrent gliomas using contrast-enhanced perfusion-weighted magnetic resonance imaging techniques:A meta-analysis

BACKGROUND It is of vital importance to find radiologic biomarkers that can accurately predict treatment response. Usually, the initiation of antiangiogenic therapy causes a rapid decrease in the contrast enhancing tumor. However, the treatment response is observed only in a fraction of patients due to the partial radiological response secondary to stabilization of abnormal vessels which does not essentially indicate a true antitumor effect. Perfusion-weighted magnetic resonance imaging(PWMRI) techniques have shown implicitness as a strong imaging biomarker for gliomas since they give hemodynamic information of blood vessels. Hence, there is a rapid expansion of PW-MRI related studies and clinical applications.AIM To determine the diagnostic performance of PW-MRI techniques including:(A)dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI); and(B)dynamic susceptibility contrast magnetic resonance imaging(DSC-MRI) for evaluating response to antiangiogenic therapy in patients with recurrent gliomas.METHODS Databases such as PubMed(MEDLINE included), EMBASE, and Google Scholar were searched for relevant original articles. The included studies were assessed for methodological quality with the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Medical imaging follow-up or histopathological analysis was used as the reference standard. The data were extracted by two reviewers independently, and then the sensitivity, specificity, summary receiver operating characteristic curve, area under the curve(AUC), and heterogeneity were calculated using Meta-Disc 1.4 software.RESULTS This study analyzed a total of six articles. The overall sensitivity for DCE-MRI and DSC-MRI was 0.69 [95% confidence interval(CI): 0.53-0.82], and the specificity was 0.99(95%CI: 0.93-1) by a random effects model(DerSimonianeeLaird model). The likelihood ratio(LR) +, LR-, and diagnostic odds ratio(DOR)were 12.84(4.54-36.28), 0.35(0.22-0.53), and 24.44(7.19-83.06), respectively. The AUC(± SE) was 0.9921(± 0.0120), and the Q* index(± SE) was 0.9640(± 0.0323).For DSC-MRI, the sensitivity was 0.73, the specificity was 0.98, the LR+ was 7.82,the LR-was 0.32, the DOR was 31.65, the AUC(± SE) was 0.9925(± 0.0132), and the Q* index was 0.9649(± 0.0363). For DCE-MRI, the sensitivity was 0.41, the specificity was 0.97, the LR+ was 5.34, the LR-was 0.71, the DOR was 8.76, the AUC(± SE) was 0.9922(± 0.2218), and the Q* index was 0.8935(± 0.3037).CONCLUSION This meta-analysis demonstrated a beneficial value of PW-MRI(DSC-MRI and DCE-MRI) in monitoring the response of recurrent gliomas to antiangiogenic therapy, with reasonable sensitivity, specificity, +LR, and-LR.

Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer

AIM: To investigate the merits of texture analysis on parametric maps derived from pharmacokinetic modeling with dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI) as imaging biomarkers for the prediction of treatment response in patients with head and neck squamous cell carcinoma(HNSCC). METHODS: In this retrospective study,19 HNSCC patients underwent pre- and intra-treatment DCEMRI scans at a 1.5T MRI scanner. All patients had chemo-radiation treatment. Pharmacokinetic modeling was performed on the acquired DCE-MRI images,generating maps of volume transfer rate(Ktrans) and volume fraction of the extravascular extracellular space(ve). Image texture analysis was then employed on maps of Ktrans and ve,generating two texture measures: Energy(E) and homogeneity.RESULTS: No significant changes were found for the mean and standard deviation for Ktrans and ve between pre- and intra-treatment(P > 0.09). Texture analysis revealed that the imaging biomarker E of ve was significantly higher in intra-treatment scans,relative to pretreatment scans(P < 0.04). CONCLUSION: Chemo-radiation treatment in HNSCC significantly reduces the heterogeneity of tumors.

Prediction of radiosensitivity in primary central nervous system germ cell tumors using dynamic contrast-enhanced magnetic resonance imaging

Objective： To evaluate the feasibility of dynamic contrast-enhanced magnetic resonance imaging（DCEMRI） for predicting tumor response to radiotherapy in patients with suspected primary central nervous system（CNS） germ cell tumors（GCTs）.Methods： DCE-MRI parameters of 35 patients with suspected primary CNS GCTs were obtained prior to diagnostic radiation, using the Tofts and Kermode model. Radiosensitivity was determined in tumors diagnosed 2 weeks after radiation by observing changes in tumor size and markers as a response to MRI. Taking radiosensitivity as the gold standard, the cut-off value of DCE-MRI parameters was measured by receiver operating characteristic（ROC） curve. Diagnostic accuracy of DCE-MRI parameters for predicting radiosensitivity was evaluated by ROC curve.Results： A significant elevation in transfer constant（K^trans） and extravascular extracellular space（Ve）（P=0.000）, as well as a significant reduction in rate constant（Kep）（P=0.000） was observed in tumors. K^trans, relative K^trans, and relative Kep of the responsive group were significantly higher than non-responsive groups. No significant difference was found in Kep, Ve, and relative Ve between the two groups. Relative K^trans showed the best diagnostic value in predicting radiosensitivity with a sensitivity of 100%, specificity of 91.7%, positive predictive value（PPV） of 95.8%, and negative predictive value（NPV） of 100%.Conclusions： Relative K^trans appeared promising in predicting tumor response to radiation therapy（RT）. It is implied that DCE-MRI pre-treatment is a requisite step in diagnostic procedures and a novel and reliable approach to guide clinical choice of RT.

Dynamic contrast-enhanced magnetic resonance imaging of prostate cancer: A review of current methods and applications

In many areas of oncology, dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI) has proven to be a clinically useful, non-invasive functional imaging technique to quantify tumor vasculature and tumor perfusion characteristics. Tumor angiogenesis is an essential process for tumor growth, proliferation, and metastasis. Malignant lesions demonstrate rapid extravasation of contrast from the intravascular space to the capillary bed due to leaky capillaries associated with tumor neovascularity. DCE-MRI has the potential to provide information regarding blood flow, areas of hypoperfusion, and variations in endothelial permeability and microvessel density to aid treatment selection, enable frequent monitoring during treatment and assess response to targeted therapy following treatment. This review will discuss the current status of DCE-MRI in cancer imaging, with a focus on its use in imaging prostate malignancies as well as weaknesses that limit its widespread clinical use. The latest techniques for quantification of DCE-MRI parameters will be reviewed and compared.

Role of pulmonary perfusion magnetic resonance imaging for the diagnosis of pulmonary hypertension:A review

Among five types of pulmonary hypertension,chronic thromboembolic pulmonary hypertension(CTEPH)is the only curable form,but prompt and accurate diagnosis can be challenging.Computed tomography and nuclear medicine-based techniques are standard imaging modalities to non-invasively diagnose CTEPH,however these are limited by radiation exposure,subjective qualitative bias,and lack of cardiac functional assessment.This review aims to assess the methodology,diagnostic accuracy of pulmonary perfusion imaging in the current literature and discuss its advantages,limitations and future research scope.

Dynamic contrast-enhanced MRI versus ^(18)F-FDG PET/CT: Which is better in differentiation between malignant and benign solitary pulmonary nodules?

Objective： To prospectively compare the discriminative capacity of dynamic contrast enhanced-magnetic resonance imaging（DCE-MRI） with that of^18F-fluorodeoxyglucose（^18F-FDG） positron emission tomography/computed tomography（PET/CT） in the differentiation of malignant and benign solitary pulmonary nodules（SPNs）.Methods： Forty-nine patients with SPNs were included in this prospective study. Thirty-two of the patients had malignant SPNs, while the other 17 had benign SPNs. All these patients underwent DCE-MRI and ^18F-FDG PET/CT examinations. The quantitative MRI pharmacokinetic parameters, including the trans-endothelial transfer constant（K^trans）, redistribution rate constant（Kep）, and fractional volume（Ve）, were calculated using the Extended-Tofts Linear two-compartment model. The ^18F-FDG PET/CT parameter, maximum standardized uptake value（SUV（max））, was also measured. Spearman＇s correlations were calculated between the MRI pharmacokinetic parameters and the SUV（max） of each SPN. These parameters were statistically compared between the malignant and benign nodules. Receiver operating characteristic（ROC） analyses were used to compare the diagnostic capability between the DCE-MRI and ^18F-FDG PET/CT indexes.Results： Positive correlations were found between K^trans and SUV（max）, and between K（ep） and SUV（max）（P〈0.05）.There were significant differences between the malignant and benign nodules in terms of the K^trans, K（ep） and SUV（max） values（P〈0.05）. The areas under the ROC curve（AUC） of K^trans） K（ep） and SUV（max） between the malignant and benign nodules were 0.909, 0.838 and 0.759, respectively. The sensitivity and specificity in differentiating malignant from benign SPNs were 90.6% and 82.4% for K^trans; 87.5% and 76.5% for K（ep）; and 75.0% and 70.6%for SUV（max）, respectively. The sensitivity and specificity of K^trans and K（ep） were higher than those of SUV（max）, but there was no significant difference between them（P〉0.05）.Conclusions： DCE-MRI can be used to differentiate between benign and malignant SPNs and has the advantage of being radiation free.

Contrast enhanced ultrasound with quantitative perfusion analysis for objective characterization of pancreatic ductal adenocarcinoma: A feasibility study

The aim of this study was to determine whether contrast enhanced ultrasound(CEUS) quantitative perfusion analysis allows an objective characterization of ductal adenocarcinoma(ADK) of the pancreas. Patients with pancreatic ADK underwent CEUS. All examinations were performed on an Acuson S2000 system(Siemens, Erlangen, Germany) after the iv administration of 2.4 mL contrast agent(SonoVue, Bracco, Milan, Italy). All lesions were pathologically proved. An operator manu-ally drew different regions of interest within the tumor and the adjacent parenchyma to allow the quantita-tive perfusion analysis. The mean values of peak of enhancement, time to peak and ascending curve were calculated and compared using the Student's t test. The quantitative perfusion analysis was possible in all lesions. The mean values of the peak of enhancement, time to peak and ascending curve were 17.19%, 7.97 s and 159.52% s within the tumor and 33.57%, 8.89 s and 355.29% s within the adjacent parenchyma. The peak of enhancement and the ascending curve values were significantly different within the tumor and the ad-jacent parenchyma. Thus, CEUS allows the quantitative perfusion analysis of pancreatic ductal adenocarcinoma.

Impact of the arterial input function on microvascularization parameter measurements using dynamic contrast-enhanced ultrasonography

AIM: To evaluate the sources of variation influencing the microvascularization parameters measured by dynamic contrast-enhanced ultrasonography (DCE-US). METHODS: Firstly, we evaluated, in vitro , the impact of the manual repositioning of the ultrasound probe and the variations in flow rates. Experiments were conducted using a custom-made phantom setup simulating a tumor and its associated arterial input. Secondly, we evaluated, in vivo , the impact of multiple contrast agent injections and of examination day, as well as the influence of the size of region of interest (ROI) associated with the arterial input function (AIF). Experiments were conducted on xenografted B16F10 female nude mice. For all of the experiments, an ultrasound scanner along with a linear transducer was used to perform pulse inversion imaging based on linear raw data throughout the experiments. Semi-quantitative and quantitative analyses were performed using two signal-processing methods. RESULTS:In vitro , no microvascularization parameters, whether semi-quantitative or quantitative, were significantly correlated (P values from 0.059 to 0.860) with the repositioning of the probe. In addition, all semiquantitative microvascularization parameters were correlated with the flow variation while only one quantitative parameter, the tumor blood flow, exhibited P value lower than 0.05 (P = 0.004). In vivo , multiple contrast agent injections had no significant impact (P values from 0.060 to 0.885) on microvascularization parameters. In addition, it was demonstrated that semi-quantitative microvascularization parameters were correlated with the tumor growth while among the quantitative parameters, only the tissue blood flow exhibited P value lower than 0.05 (P = 0.015). Based on these results, it was demonstrated that the ROI size of the AIF had significant influence on microvascularization parameters: in the context of larger arterial ROI (from 1.17 ± 0.6 mm 3 to 3.65 ± 0.3 mm 3 ), tumor blood flow and tumor blood volume were correlated with the tumor growth, exhibiting P values lower than 0.001. CONCLUSION: AIF selection is an essential aspect of the deconvolution process to validate the quantitative DCE-US method.

Intraoperative perfusion magnetic resonance imaging: Cutting-edge improvement in neurosurgical procedures

The goal in brain tumor surgery is to remove the maxi-mum achievable amount of the tumor, preventing damage to "eloquent" brain regions as the amount of brain tumor resection is one of the prognostic factors for time to tumor progression and median survival. To achieve this goal, a variety of technical advances have been in-troduced, including an operating microscope in the late 1950 s, computer-assisted devices for surgical navigation and more recently, intraoperative imaging to incorporate and correct for brain shift during the resection of the lesion. However, surgically induced contrast enhancement along the rim of the resection cavity hampers interpretation of these intraoperatively acquired magnetic resonance images. To overcome this uncertainty, perfusion techniques [dynamic contrast enhanced magnetic resonance imaging(DCE-MRI), dynamic susceptibility contrast magnetic resonance imaging(DSC-MRI)] have been introduced that can differentiate residual tumor from surgically induced changes at the rim of the resec-tion cavity and thus overcome this remaining uncer-tainty of intraoperative MRI in high grade brain tumor resection.

Perfusion magnetic resonance imaging of the liver

Perfusion magnetic resonance imaging (MRI) studies quantify the microcirculatory status of liver parenchyma and liver lesions, and can be used for the detection of liver metastases, assessing the effectiveness of antiangiogenic therapy, evaluating tumor viability after anticancer therapy or ablation, and diagnosis of liver cirrhosis and its severity. In this review, we discuss the basic concepts of perfusion MRI using tracer kinetic modeling, the common kinetic models applied for analyses, the MR scanning techniques, methods of data processing, and evidence that supports its use from published clinical and research studies. Technical standardization and further studies will help to establish and validate perfusion MRI as a clinical imaging modality.

超声造影与DCE-MRI对乳腺癌患者新辅助化疗的评估价值

目的探究超声造影(CEUS)与动态增强磁共振成像(DCE-MRI)对乳腺癌患者新辅助化疗(NAC)的评估价值。方法选取2020年1月~2023年1月于我院接受NAC的乳腺癌患者68例,对所有入选患者NAC治疗后行CEUS、DCE-MRI检查,以手术病理结果为金标准,将治疗后患者分为有效组与无效组,比较CEUS、DCE-MRI以及两者联合对乳腺癌患者NAC疗效的评估价值,对比有效组与无效组CEUS、DCEMRI检查的参数水平。结果68例乳腺癌患者NAC后,经手术病理诊断发现49例有效,19例无效。采用CEUS检查评估NAC疗效的敏感性、特异性及准确性分别为81.63%、68.42%、67.65%,经手术病理评估为有效患者的峰值强度(PI)、曲线下面积(AUC)水平低于无效患者(P<0.05);采用DCE-MRI检查时的敏感性、特异性及准确性分别为83.67%、73.68%、67.65%,经手术病理评估为有效患者的容量转移常数(K^(trans))、速率常数(K_(ep))均低于无效患者(P<0.05)。CEUS联合DCE-MRI评估NAC疗效的敏感性及准确性分别为97.96%、94.83%,均显著高于单一检查方法(P<0.05)。结论CEUS联合DCE-MRI能提高对乳腺癌患者NAC疗效的评估价值,其敏感性及准确性较高,值得推广。

基于多模态MRI定量分析诊断宫颈癌宫旁浸润的研究

目的探讨多模态MRI定量分析诊断宫颈癌宫旁浸润的价值。方法回顾性分析2019年1月~2021年12月新疆维吾尔自治区人民医院收治的86例宫颈癌患者临床资料,根据病理结果分为宫旁浸润组31例与非宫旁浸润组55例。所有患者均接受MRI常规平扫及扩散加权成像(DWI)扫描、动态对比增强磁共振成像(DCE-MRI)扫描,获得感兴趣区表观弥散系数(ADC)值和对比剂容积转换常量(K^(trans))、速率常数(K_(ep))、血管外细胞间隙容积分数(V_(e))值等多模态MRI定量参数。比较宫旁浸润组和非宫旁浸润组临床特征、ADC值和DCE-MRI定量参数;Pearson相关性分析宫颈癌宫旁浸润患者ADC值和K^(trans)、K_(ep)、V_(e)的关系;受试者工作特征曲线(ROC)分析ADC值和K^(trans)、K_(ep)、V_(e)对宫颈癌宫旁浸润的诊断效能。结果宫旁浸润组与非宫旁浸润组肿瘤直径和病理分级的分布差异比较,差异有统计学意义(P<0.05);宫旁浸润组K^(trans)、K_(ep)和V_(e)均明显高于非宫旁浸润组(P<0.05);Pearson相关性显示,宫颈癌宫旁浸润患者ADC值与V_(e)值呈明显的正相关(P<0.05);ROC显示,K^(trans)、K_(ep)、V_(e)值诊断宫颈癌宫旁浸润的曲线下面积(AUC)分别为0.876、0.821和0.864(P<0.05)。结论多模态MRI定量参数对宫颈癌宫旁浸润具有较好的诊断价值,可为宫颈癌宫旁浸润的影像诊断提供量化参考。

动态增强磁共振联合体素内不相干运动成像对三阴性乳腺癌的诊断价值

目的 探讨动态增强磁共振成像(DCE-MRI)联合体素内不相干运动(IVIM)对三阴性(TNBC)及非三阴性乳腺癌的鉴别诊断价值。方法 回顾性分析本院经病理证实的乳腺癌患者180例,TNBC组49例,非TNBC组131例,所有患者均行DCE-MRI及IVIM及检查。分析两组间的临床病理资料、常规MRI征象和IVIM、 DCE-MRI模型诸定量参数。结果 TNBC组的病灶不规则形较非TNBC组少见,强化多不均匀,环形强化占比较大,两组间差异有统计学意义(P=0.001,P=0.007)。TNBC组的Ve值小于非TNBC组(P<0.001),呈低度负相关(r=-0.439,P<0.001);TNBC组的D、f、K_(ep)值高于非TNBC组(P=0.002~0.016),呈低度正相关(r=0.186~0.257,P<0.05)。D^(*)、K^(trans)值在两组间差异不具有统计学差异(P>0.05)。D≥0.86×10^(-3)mm^(2)/s、f≥38.1%、K_(ep)≥0.359/min、V_(e)≤0.589为鉴别TNBC和非TNBC的独立影响因素,其中Ve值的AUC为0.784,大于其他定量参数(Z=2.201~2.752,P=0.006~0.028)。DC E-MRI模型AUC为0.817,大于IVIM模型(AUC=0.657)和常规MRI模型(AUC=0.689),差异具有统计学意义(Z=2.657;P=0.008;Z=2.516,P=0.012)。联合DCE-MRI、IVIM模型,AUC为0.862,诊断效能均高于单一模型(Z=2.194~4.649,P<0.05),敏感度为83.7%,特异度为74.8%,准确度为80.0%。结论 DCE-MRI、IVIM模型可用于TNBC的诊断,其中DCE-MRI模型的Ve值诊断效能最高,IVIM联合DC E-M RI模型对鉴别TN BC及非TN BC的诊断效能优于单一模型。

动态增强MRI定量参数及肿瘤标记物对乳腺癌新辅助化疗疗效的评估价值分析

目的:探索动态增强磁共振成像(DCE-MRI)定量参数及肿瘤标记物对乳腺癌新辅助化疗疗效的评估价值。方法:选取2019年5月至2022年5月在济宁市第一人民医院接受新辅助化疗联合手术干预的75例乳腺癌患者,根据实体瘤疗效评价标准(RECIST)将其分为有效组(54例)和无效组(21例),比较化疗前和化疗后两组患者DCE-MRI定量参数血管外细胞外间隙容积比(V_(e))、速率常数(K_(ep))及容积转换常数(K^(trans))指标与肿瘤标志物癌胚抗原(CEA)、糖类抗原(CA125)及糖类抗原15-3(CA15-3)水平,采用受试者工作特征(ROC)曲线分析各项诊断方式预测效能。结果:化疗后,有效组患者DCEMRI定量参数Ve、K_(ep)及K^(trans)与无效组比较,差异有统计学意义(t=7.237、51.695、16.879,P<0.05)。有效组患者肿瘤标志物CEA、CA125及CA15-3与无效组比较,差异有统计学意义(t=44.201、6.736、6.885,P<0.05)。V_(e)、K_(ep)、K^(trans)、CEA、CA125及CA15-3的6项指标联合预测乳腺癌新辅助化疗疗效ROC曲线下面积(AUC)值为0.979,显著高于各项指标单独检测的AUC值,差异有统计学意义(Z=2.993、2.679、2.510、2.731、3.215、3.071,P<0.05)。结论:肿瘤标记物联合DCE-MRI定量参数可更好预测乳腺癌新辅助化疗疗效情况,间接评估预后。

非对比增强磁共振血管成像联合肾动态显像对动脉粥样硬化性肾动脉狭窄的诊断价值

目的:探讨非对比增强磁共振血管成像(NCE-MRA)联合肾动态显像对动脉粥样硬化性肾动脉狭窄(ARAS)的诊断价值。方法:选择2019年1月至2023年1月于河南省人民医院行肾动脉数字减影血管造影(DSA)的172例患者,按肾动脉DSA结果分为ARAS组(n=107)和非ARAS组(n=65)。比较两组患者的临床特征,分析NCE-MRA对ARAS的诊断价值,以肾动态显像测得的两侧GFR差值及比值单独或联合NCE-MRA诊断结果绘制受试者工作特征(ROC)曲线,评估对ARAS的诊断价值。结果:NCE-MRA与肾动脉DSA诊断ARAS的一致性较好(Kappa=0.828,P<0.001),NCE-MRA诊断ARAS的敏感度、特异度、准确性、阳性预测值(PPV)和阴性预测值(NPV)分别为92.52%,90.77%、91.86%、94.29%、88.06%;双肾GFR比值及差值用于诊断ARAS的AUC为0.771和0.708,最佳诊断界值为1.371和13.900 mL/(min·1.73 m^(2)),敏感度为52.3%和45.8%,特异度为90.8%和89.2%;GFR比值及差值联合NCE-MRA诊断ARAS的AUC分别为0.948和0.942,敏感度为95.3%和94.4%,特异度均为89.2%。结论:NCE-MRA对ARAS具有较高的诊断效能,联合肾动态显像可提高对ARAS的诊断价值。

应用于人脑胶质淋巴系统的磁共振成像技术研究进展

胶质淋巴系统是神经科学领域近期发现的解剖结构,具有调节间质液运动、废物清除和潜在的大脑免疫等功能,在中枢神经系统的生理及病理中发挥重要作用。随着影像学技术的发展,越来越多的磁共振成像(MRI)技术被应用于人脑胶质淋巴系统的研究,目前常用的MRI技术有动态对比增强磁共振成像技术、沿血管周围间隙扩散张量成像分析技术及新型多模态超快速磁共振技术等,本文就这些技术在脑胶质淋巴系统的应用现状进行汇总综述,以期为胶质淋巴系统的影像学研究提供参考。

动态增强MRI定量参数术前评估原发性肝癌患者临床分期研究

目的研究动态增强MRI(DCE-MRI)定量参数术前评估原发性肝癌(PLC)患者临床分期的价值。方法2021年1月~2023年1月我院收治的PLC患者69例,均接受DCE-MRI检查并计算灌注参数,如转运常数(K^(Trans))、速率常数(K_(ep))和血管外细胞外间隙体积分数(V_(e))。经细针穿刺活检或术后组织病理学检查,综合评估中国肝癌分期(CNLC)。绘制受试者工作特征曲线(ROC)并计算曲线下面积(AUC)评估DCE-MRI定量参数诊断PLC术前临床分期的价值。结果经病理学检查,69例PLC患者均被诊断为肝细胞癌(HCC),DCE-MRI检查发现CNLCⅠ期17例,Ⅱ期21例,Ⅲa期29例,Ⅲb期2例;Ⅲ期HCC患者K^(Trans)和K_(ep)分别为(0.4±0.1)min^(-1)和(1.2±0.6)min^(-1),显著大于Ⅰ~Ⅱ期患者【分别为(0.3±0.1)min^(-1)和(0.6±0.4)min^(-1),P<0.05】,而V_(e)为(0.4±0.2),显著小于Ⅰ~Ⅱ期患者【(0.5±0.2),P<0.05】;分别以K^(Trans)>0.4 min^(-1)、V_(e)<0.5和K_(ep)>0.9 min^(-1)为截断点,三者联合诊断Ⅲ期HCC患者的AUC为0.812(95%CI:0.706~0.918),其敏感度为80.6%,特异度为65.8%,显著优于各指标单独诊断(P<0.05)。结论DCE-MRI定量参数联合术前判断HCC患者临床分期具有一定的应用价值,可为临床制定合理的治疗方案提供指导,值得应用。