Liver involvement in patients with COVID-19 infection:A comprehensive overview of diagnostic imaging features

During the first wave of the pandemic,coronavirus disease 2019(COVID-19)infection has been considered mainly as a pulmonary infection.However,different clinical and radiological manifestations were observed over time,including involvement of abdominal organs.Nowadays,the liver is considered one of the main affected abdominal organs.Hepatic involvement may be caused by either a direct damage by the virus or an indirect damage related to COVID-19 induced thrombosis or to the use of different drugs.After clinical assessment,radiology plays a key role in the evaluation of liver involvement.Ultrasonography(US),computed tomography(CT)and magnetic resonance imaging(MRI)may be used to evaluate liver involvement.US is widely available and it is considered the first-line technique to assess liver involvement in COVID-19 infection,in particular liver steatosis and portal-vein thrombosis.CT and MRI are used as second-and third-line techniques,respectively,considering their higher sensitivity and specificity compared to US for assessment of both parenchyma and vascularization.This review aims to the spectrum of COVID-19 liver involvement and the most common imaging features of COVID-19 liver damage.

Advances in Polysaccharide-Based Microneedle Systems for the Treatment of Ocular Diseases

The eye,a complex organ isolated from the systemic circulation,presents significant drug delivery challenges owing to its protective mechanisms,such as the blood-retinal barrier and corneal impermeability.Conventional drug administration methods often fail to sustain therapeutic levels and may compromise patient safety and compliance.Polysaccharidebased microneedles(PSMNs)have emerged as a transformative solution for ophthalmic drug delivery.However,a comprehensive review of PSMNs in ophthalmology has not been published to date.In this review,we critically examine the synergy between polysaccharide chemistry and microneedle technology for enhancing ocular drug delivery.We provide a thorough analysis of PSMNs,summarizing the design principles,fabrication processes,and challenges addressed during fabrication,including improving patient comfort and compliance.We also describe recent advances and the performance of various PSMNs in both research and clinical scenarios.Finally,we review the current regulatory frameworks and market barriers that are relevant to the clinical and commercial advancement of PSMNs and provide a final perspective on this research area.

Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning

BACKGROUND Lymphovascular invasion(LVI)and perineural invasion(PNI)are important prognostic factors for gastric cancer(GC)that indicate an increased risk of metastasis and poor outcomes.Accurate preoperative prediction of LVI/PNI status could help clinicians identify high-risk patients and guide treatment deci-sions.However,prior models using conventional computed tomography(CT)images to predict LVI or PNI separately have had limited accuracy.Spectral CT provides quantitative enhancement parameters that may better capture tumor invasion.We hypothesized that a predictive model combining clinical and spectral CT parameters would accurately preoperatively predict LVI/PNI status in GC patients.AIM To develop and test a machine learning model that fuses spectral CT parameters and clinical indicators to predict LVI/PNI status accurately.METHODS This study used a retrospective dataset involving 257 GC patients(training cohort,n=172;validation cohort,n=85).First,several clinical indicators,including serum tumor markers,CT-TN stages and CT-detected extramural vein invasion(CT-EMVI),were extracted,as were quantitative spectral CT parameters from the delineated tumor regions.Next,a two-step feature selection approach using correlation-based methods and information gain ranking inside a 10-fold cross-validation loop was utilized to select informative clinical and spectral CT parameters.A logistic regression(LR)-based nomogram model was subsequently constructed to predict LVI/PNI status,and its performance was evaluated using the area under the receiver operating characteristic curve(AUC).RESULTS In both the training and validation cohorts,CT T3-4 stage,CT-N positive status,and CT-EMVI positive status are more prevalent in the LVI/PNI-positive group and these differences are statistically significant(P<0.05).LR analysis of the training group showed preoperative CT-T stage,CT-EMVI,single-energy CT values of 70 keV of venous phase(VP-70 keV),and the ratio of standardized iodine concentration of equilibrium phase(EP-NIC)were independent influencing factors.The AUCs of VP-70 keV and EP-NIC were 0.888 and 0.824,respectively,which were slightly greater than those of CT-T and CT-EMVI(AUC=0.793,0.762).The nomogram combining CT-T stage,CT-EMVI,VP-70 keV and EP-NIC yielded AUCs of 0.918(0.866-0.954)and 0.874(0.784-0.936)in the training and validation cohorts,which are significantly higher than using each of single independent factors(P<0.05).CONCLUSION The study found that using portal venous and EP spectral CT parameters allows effective preoperative detection of LVI/PNI in GC,with accuracy boosted by integrating clinical markers.

In situ visualization of the cellular uptake and sub-cellular distribution of mussel oligosaccharides

Unlike chemosynthetic drugs designed for specific molecular and disease targets,active small-molecule natural products typically have a wide range of bioactivities and multiple targets,necessitating extensive screening and development.To address this issue,we propose a strategy for the direct in situ microdynamic examination of potential drug candidates to rapidly identify their effects and mechanisms of action.As a proof-of-concept,we investigated the behavior of mussel oligosaccharide(MOS-1)by tracking the subcellular dynamics of fluorescently labeled MOS-1 in cultured cells.We recorded the entire dynamic process of the localization of fluorescein isothiocyanate(FITC)-MOS-1 to the lysosomes and visualized the distribution of the drug within the cell.Remarkably,lysosomes containing FITC-MOS-1 actively recruited lipid droplets,leading to fusion events and increased cellular lipid consumption.These drug behaviors confirmed MOS-1 is a candidate for the treatment of lipid-related diseases.Furthermore,in a high-fat HepG2 cell model and in high-fat diet-fed apolipoprotein E(ApoE)^(-/-)mice,MOS-1 significantly promoted triglyceride degradation,reduced lipid droplet accumulation,lowered serum triglyceride levels,and mitigated liver damage and steatosis.Overall,our work supports the prioritization of in situ visual monitoring of drug location and distribution in subcellular compartments during the drug development phase,as this methodology contributes to the rapid identification of drug indications.Collectively,this methodology is significant for the screening and development of selective small-molecule drugs,and is expected to expedite the identification of candidate molecules with medicinal effects.

Prognostic factors of early recurrence after complete cytoreductive surgery and hyperthermic intraperitoneal chemotherapy

BACKGROUND Although cytoreductive surgery(CRS)and hyperthermic intraperitoneal chemotherapy(HIPEC)offer the potential for long-term survival in peritoneal carcinomatosis,outcomes following CRS/HIPEC vary significantly.AIM To identify the clinical factors associated with progression-free survival(PFS)after complete CRS/HIPEC in patients with colorectal/high-grade appendiceal,ovarian,and gastric cancers.METHODS We retrospectively evaluated the risk of recurrence within 1 year after CRS/HIPEC and its impact on overall survival(OS)in patients recruited between 2015 and 2020.Logistic regression models were used to assess the prognostic factors for the risk of recurrence within 1 year.Kaplan–Meier survival curves and Cox proportional hazards models were used to evaluate the association between recurrence and OS.RESULTS Of the 80 enrolled patients,39 had an unfavorable PFS(<1 year)and 41 had a favorable PFS(≥1 year).Simple logistic models revealed that the patients with a completeness of cytoreduction score of 0(CC-0)or length of CRS≤6 h had a favorable PFS[odds ratio(OR)=0.141,P=0.004;and OR=0.361,P=0.027,respectively].In multiple logistic regression,achieving CC-0 was the strongest prognostic factor for a favorable PFS(OR=0.131,P=0.005).A peritoneal cancer index score>12 was associated with a lower rate of achieving CC-0(P=0.027).The favorable PFS group had a significantly longer OS(median 81.7 mo vs 17.0 mo,P<0.001).CONCLUSION Achieving CC-0 was associated with a lower early recurrence rate and improved long-term survival.This study underscores the importance of selecting appropriate candidates for CRS/HIPEC to manage peritoneal carcinomatosis.

Transient elastography and diffusion-weighted magnetic resonance imaging for assessment of liver fibrosis in children with chronic hepatitis C

BACKGROUND Chronic hepatitis C(CHC)is a health burden with consequent morbidity and mortality.Liver biopsy is the gold standard for evaluating fibrosis and assessing disease severity and prognostic purposes post-treatment.Noninvasive altern-atives for liver biopsy such as transient elastography(TE)and diffusion-weighted magnetic resonance imaging(DW-MRI)are critical needs.AIM To evaluate TE and DW-MRI as noninvasive tools for predicting liver fibrosis in children with CHC.METHODS This prospective cross-sectional study initially recruited 100 children with CHC virus infection.Sixty-four children completed the full set of investigations including liver stiffness measurement(LSM)using TE and measurement of apparent diffusion coefficient(ADC)of the liver and spleen using DW-MRI.Liver biopsies were evaluated for fibrosis using Ishak scoring system.LSM and liver and spleen ADC were compared in different fibrosis stages and correlation analysis was performed with histopathological findings and other laboratory parameters.RESULTS Most patients had moderate fibrosis(73.5%)while 26.5%had mild fibrosis.None had severe fibrosis or cirrhosis.The majority(68.8%)had mild activity,while only 7.8%had moderate activity.Ishak scores had a significant direct correlation with LSM(P=0.008)and were negatively correlated with both liver and spleen ADC but with no statistical significance(P=0.086 and P=0.145,respectively).Similarly,histopatho-logical activity correlated significantly with LSM(P=0.002)but not with liver or spleen ADC(P=0.84 and 0.98 respectively).LSM and liver ADC were able to significantly discriminate F3 from lower fibrosis stages(area under the curve=0.700 and 0.747,respectively)with a better performance of liver ADC.CONCLUSION TE and liver ADC were helpful in predicting significant fibrosis in children with chronic hepatitis C virus infection with a better performance of liver ADC.

Role of intestinal ultrasound in ulcerative colitis: A systematic review

BACKGROUND Intestinal ultrasound(IUS)is an emerging,non-invasive,and highly sensitive diagnostic tool in inflammatory bowel disease(IBD),including ulcerative colitis(UC).Despite its potential,its adoption in clinical practice is limited due to a lack of standardization and awareness.AIM To perform a comprehensive scoping review based on a systematic literature review on IUS in UC to inform current practice.METHODS Ninety-nine original articles about ultrasonography in UC were identified among 7608 citations searching PubMed and EMBASE databases for systematic review.RESULTS IUS can be useful as an initial diagnostic strategy in patients with suspected IBD/UC.In UC,IUS can predict endoscopic response,histologic healing,and steroid responsiveness in acute severe cases.IUS can predict response to biologics/small molecules(as early as 2 wk).IUS correlates well with ileocolonoscopy,but IUS could miss rectal,jejunal,and upper GI lesions in suspected IBD and colon polyps or extra-intestinal manifestations in known IBD.IUS is useful in special situations(children,pregnancy,and postoperative Crohn's disease).Inter-observer agreement is acceptable and trained physicians have comparable diagnostic accuracy.Point-of-care ultrasound impacted management in 40%-60%of cases.Hand-held IUS has excellent agreement with conventional IUS.CONCLUSION IUS is a non-invasive,highly sensitive tool in the diagnosis and monitoring of UC,offering excellent patient satisfaction.Point-of-care ultrasound by IBD physicians can significantly impact clinical decision-making.

Rectal cancer staging: Multidetector-row computed tomography diagnostic accuracy in assessment of mesorectal fascia invasion

AIM: To assess the diagnostic accuracy of multidetectorrow computed tomography(MDCT) as compared with conventional magnetic resonance imaging(MRI), in identifying mesorectal fascia(MRF) invasion in rectal cancer patients.METHODS: Ninety-one patients with biopsy proven rectal adenocarcinoma referred for thoracic and abdominal CT staging were enrolled in this study. The contrast-enhanced MDCT scans were performed on a 256 row scanner(ICT, Philips) with the following acquisition parameters: tube voltage 120 KV, tube current 150-300 m As. Imaging data were reviewed as axial and as multiplanar reconstructions(MPRs) images along the rectal tumor axis. MRI study, performed on 1.5 T with dedicated phased array multicoil, included multiplanar T2 and axial T1 sequences and diffusion weighted images(DWI). Axial and MPR CT images independently were compared to MRI and MRF involvement was determined. Diagnostic accuracy of both modalities was compared and statistically analyzed.RESULTS: According to MRI, the MRF was involved in 51 patients and not involved in 40 patients. DWI allowed to recognize the tumor as a focal mass with high signal intensity on high b-value images, compared with the signal of the normal adjacent rectal wall or with the lower tissue signal intensity background. The number of patients correctly staged by the native axial CT images was 71 out of 91(41 with involved MRF; 30 with not involved MRF), while by using the MPR 80 patients were correctly staged(45 with involved MRF; 35 with not involved MRF). Local tumor staging suggested by MDCT agreed with those of MRI, obtaining for CT axial images sensitivity and specificity of 80.4% and 75%, positive predictive value(PPV) 80.4%, negative predictive value(NPV) 75% and accuracy 78%; while performing MPR the sensitivity and specificity increased to 88% and 87.5%, PPV was 90%, NPV 85.36% and accuracy 88%. MPR images showed higher diagnostic accuracy, in terms of MRF involvement, than native axial images, as compared to the reference magnetic resonance images. The difference in accuracy was statistically significant(P = 0.02). CONCLUSION: New generation CT scanner, using high resolution MPR images, represents a reliable diagnostic tool in assessment of loco-regional and whole body staging of advanced rectal cancer, especially in patients with MRI contraindications.

Metabolomic and structural brain connectomic evidence validating traditional Chinese medicine diagnostic classification of major depressive disorder

OBJECTIVE Major depressive disorder(MDD) is a highly heterogeneous mental illness.Further classification may help characterize its heterogeneity.The purpose of this study was to examine metabolomic and brain connectomic associations with traditional Chinese medicine(TCM) diagnostic classification of MDD.METHODS Fifty unmedicated depressed patients were classified into Liver Qi Stagnation(LQS,n=30) and Heart and Spleen Deficiency(HSD,n=20) subtypes according to TCM diagnosis.Healthy volunteers(n=28) were included as controls.Gas chromatography-mass spectrometry(GC-MS) and diffusion tensor imaging were used to detect serum and urinary metabolomic profiles and whole-brain white matter connectivity,respectively.RESULTS In metabolomic analysis,28 metabolites were identified for good separations between TCM subtypes and healthy controls in serum and urine samples.While both TCM subtypes had similar profiles in proteinogenic branched-chain amino acids and energy metabolism-related metabolites that were differentiated from healthy controls,the LQS subtype additionally differed from healthy controls in multiple amino acid metabolites that are involved in the biosynthesis of monoamine and amino acid neurotransmitters.Several metabolites are differentially associated with the two subtypes.In connectomic analysis,The LQS subtype showed significant differences in multiple network metrics of the angular gyrus,middle occipital gyrus,calcarine sulcus,and Heschl′ s gyrus when compared to the other two groups.The HSD subtype had markedly greater regional connectivity of the insula,parahippocampal gyrus,and posterior cingulate gyrus than the other two groups,and microstructural abnormalities of the frontal medial orbital gyrus and middle temporal pole.The insular betweenness centrality was strongly inversely correlated with the severity of depression and dichotomized the two subtypes at the optimal cutoff value with acceptable sensitivity and specificity.CONCLUSION The LQS subtype may represent an MDD subpopulation mainly characterized by abnormalities in the biosynthesis of monoamine and amino acid neurotransmitters,closer associations with stress-related pathophysiology,and aberrant connectivity of the audiovisual perception-related temporal-occipital network,whereas the HSD subtype is more closely associated with hyperconnectivity and microstructural abnormalities of the limbicparalimbic network.Certain metabolomic and connectomic variables are potential biomarkers for TCM diagnostic subtypes which is perhaps an alternative classification for depressive disorders.

Early diagnosis of bowel obstruction and strangulation by computed tomography in emergency department

Closed loop bowel obstruction is a specific type of mechanical obstruction with a high risk of strangulation and bowel infarction, especially in the small bowel. It is associated with a high mortality rate. Hence, it is important for emergency physicians to identify the presence of strangulation, while making the diagnosis of closed loop small bowel obstruction. We reported three patients with strangulated closed loop small bowel obstruction associated with severe abdominal pain, who had been treated at the emergency department. Urgent computerized tomography was performed in the patients. Two patients were discharged with stable conditions, and one patient died after hemodialysis. Urgent computerized tomography of the abdomen serves as an important diagnostic tool in view of its ability to detect the site, level and cause of obstruction along with the distinctive CT appearance of closed loop small bowel obstruction and signs of ischemia. Early definitive diagnosis will guide subsequent management and improve outcomes.

The Diagnostic Value of Color Doppler Ultrasound and Grey Scale Sonography in Predicting the Malignancy of Thyroid Nodules

Retrospective study was done at KAUH to determine the sonographic characteristics in predicting the malignancy of thyroid nodules. The sample was 120 patients consisting of 70 benign nodules and 50 malignant nodules. Out of 120 patients, 106 (88.3%) female and 14 (11.7%) male patients. Out of 106 female patients, 64 (91.45) had benign and 42 had malignant thyroid nodules. Out of 14 (11.7) male patients, 6 had benign and 8 had malignant thyroid nodules. The youngest patient in our study was 31 years and the oldest patient was 76 years. The common range of patients age was ≥ 60 years and consisting of twenty (28.6%) benign thyroid nodules and fourteen (28%) malignant thyroid nodules. The majority of patients’ age group with malignant thyroid nodules were between 50 - 60 years and consisting of twenty (40%) malignant nodules. In our study, according to the result of gray scale and color Doppler ultrasonography, hypo-echogenicity, solid echo structure, micro-calcification and intra-nodular vascularity were the significant characteristics of malignancy in nodules with sensitivity (72%, 74%, 48% and 88% respectively), specificity (66%, 63%, 94% and 69% respectively), PPV (60%, 59%, 86% and 67% respectively) and NPV (77%, 77%, 72% and 89% respectively).

Application of ablative therapy for intrahepatic recurrent hepatocellular carcinoma following hepatectomy

The post-hepatectomy recurrence rate of hepatocellular carcinoma(HCC)is persistently high,affecting the prognosis of patients.An effective therapeutic option is crucial for achieving long-term survival in patients with postoperative recurrences.Local ablative therapy has been established as a treatment option for resectable and unresectable HCCs,and it is also a feasible approach for recurrent HCC(RHCC)due to less trauma,shorter operation times,fewer complications,and faster recovery.This review focused on ablation techniques,description of potential candidates,and therapeutic and prognostic implications of ablation for guiding its application in treating intrahepatic RHCC.

Comments on"Review of the role of diagnostic modalities and imaging findings in the COVID-19 pandemic"

The present letter to the editor corresponds to the article entitled“Comprehensive literature review on the radiographic findings,imaging modalities,and the role of radiology in the coronavirus disease 2019(COVID-19)pandemic”by Pal et al,published in World J Radiol.2021;13(9):258-282.With zero to unknown prevalence,COVID-19 has created a heterogeneous and unforeseen situation across the world.Healthcare providers encountered new challenges in image interpretation,characterization,and prognostication of the disease.Pal et al delineated the radiological findings,which would guide the radiologists to identify the early signs of severe infection.

Predicting the prognosis of primary orbital lymphoma by clinical characteristics and imaging features

AIM: To analyze the 5-year disease-free survival(DFS) of primary orbital lymphoma(POL) by clinical characteristics and imaging features.METHODS: A total of 72 patients, 43 males and 29 females, with histologically confirmed POL, were retrospectively recruited between January 2012 and May 2017. The information on clinical characteristics, imaging features, and 5-year DFS was obtained. Univariate and multivariate forward logistic regression analyses were used to identify the variables significantly associated with 5-year DFS. Kaplan-Meier was applied for survival analysis. RESULTS: Univariate analysis revealed that uni-or bilateral orbital involvement, single or multiple lesions, treatment methods, and contrast enhancement pattern on images were significant for 5-year DFS(P=0.022, 0.042, <0.001, and 0.028, respectively), while in multivariate logistic regression analysis, only uni-or bilateral orbital involvement, treatment methods and contrast enhancement pattern on images were significant(r=0.453, 0.897, and 0.556, P=0.038, <0.001 and 0.022, respectively). The survival curves for DFS were obtained. CONCLUSION: The majority of POL are B-cell lymphomas. Unilateral orbital involvement, homogeneous contrast enhancement on images, and the appropriate treatment schemes result to be significant factors for a good prognosis for POL.

Irreversible electroporation of the pancreas-A decade on

Irreversible electroporation(IRE) employs the use of an electric field to cause irreversible permeability of the cell membrane, inducing apoptosis. The use of IRE for locally advanced pancreatic cancer(LAPC) was first described in 2012. The crucial advantage of IRE compared with other devices employing thermal ablation is the safety around vital structures such as vessels and ducts. This makes it an attractive option for use in the pancreas due to the close proximity of multiple major vascular structures, biliary ducts, and adjacent gastrointestinal organs. Over the past decade, IRE has established itself as a useful treatment adjunct and may soon become the standard of care, particularly for LAPC. This article will explore the current evidence and provide a concise summary of pertinent issues, including patient selection, preoperative management, clinical outcomes, radiological response and future prospects of IRE in pancreatic cancer.

Impact of Radiology Information System on CT Scan Reporting Time

The medical sector values time when it determines life in its totality. Any waste of time, especially in critical conditions, compromises patients and puts lives at stake. From a diagnosis and treatment perspective, efficient use of time determines the success of procedures. Whether it be the inclusion of computing technologies or it be the implementation of informatics, the benefits of medical technology have been tremendous to the healthcare sector. This research has looked at the impact of the Radiology Information System (RIS) on CT reporting time in the King Khalid Hospital (KKH) in the Kingdom of Saudi Arabia. The approach of the study has been quasi-experimental, using the power calculation of a pair of 381 CT scan reports of 40,000 after which the data was collected and analyzed by using SPSS to deduce the impact that RIS has on CT reporting time. The comparison of CT reporting time is done between two distinct timeframes Pre- and Post-installation of RIS. The patients in the current study were organized into three primary categories: emergency patients, inpatients, and outpatients. The results show that the turnaround time was impacted positively with the incorporation of RIS and related technologies in CT scan patients. The outpatient department saw the most improvement among the three categories indicating the highest average percentage of reduction in Turnaround Time. Thus, it was concluded that the RIS has an overall positive impact on CT reporting time.

Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging

Central nervous system abnormalities in fetuses are fairly common,happening in 0.1%to 0.2%of live births and in 3%to 6%of stillbirths.So initial detection and categorization of fetal Brain abnormalities are critical.Manually detecting and segmenting fetal brain magnetic resonance imaging(MRI)could be timeconsuming,and susceptible to interpreter experience.Artificial intelligence(AI)algorithms and machine learning approaches have a high potential for assisting in the early detection of these problems,improving the diagnosis process and follow-up procedures.The use of AI and machine learning techniques in fetal brain MRI was the subject of this narrative review paper.Using AI,anatomic fetal brain MRI processing has investigated models to predict specific landmarks and segmentation automatically.All gestation age weeks(17-38 wk)and different AI models(mainly Convolutional Neural Network and U-Net)have been used.Some models'accuracy achieved 95%and more.AI could help preprocess and postprocess fetal images and reconstruct images.Also,AI can be used for gestational age prediction(with one-week accuracy),fetal brain extraction,fetal brain segmentation,and placenta detection.Some fetal brain linear measurements,such as Cerebral and Bone Biparietal Diameter,have been suggested.Classification of brain pathology was studied using diagonal quadratic discriminates analysis,Knearest neighbor,random forest,naive Bayes,and radial basis function neural network classifiers.Deep learning methods will become more powerful as more large-scale,labeled datasets become available.Having shared fetal brain MRI datasets is crucial because there aren not many fetal brain pictures available.Also,physicians should be aware of AI's function in fetal brain MRI,particularly neuroradiologists,general radiologists,and perinatologists.

Percutaneous closure of gastrorenal shunt as adjunctive therapy for esophageal carcinoma

The embolization of gastric varices is an established technique for acute bleeding in patients with portal hypertension. Here, we report an attempt to embolize a gastrorenal shunt to facilitate esophagectomy in a patient with an esophageal malignancy. To our knowledge, this is the first case in the literature to highlight the role of interventional medicine in the treatment of patients with esophageal malignancy.

Evaluation of causal heart diseases in cardioembolic stroke by cardiac computed tomography

Cardioembolic stroke is a potentially devastating condition and tends to have a poor prognosis compared with other ischemic stroke subtypes.Therefore,it is important for proper therapeutic management to identify a cardiac source of embolism in stroke patients.Cardiac computed tomography(CCT)can detect the detailed visualization of various cardiac pathologies in the cardiac chambers,interatrial and interventricular septum,valves,and myocardium with few motion artifacts and few dead angles.Multiphase reconstruction images of the entire cardiac cycle make it possible to demonstrate cardiac structures in a dynamic manner.Consequently,CCT has the ability to provide high-quality information about causal heart disease in cardioembolic stroke.In addition,CCT can simultaneously evaluate obstructive coronary artery disease,which may be helpful in surgical planning in patients who need urgent surgery,such as cardiac tumors or infective endocarditis.This review will introduce the potential clinical applications of CCT in an ischemic stroke population,with a focus on diagnosing cardioembolic sources using CCT.

Comment on: “Development of a CLDN18.2-targeting immuno-PET probe for non-invasive imaging in gastrointestinal tumors”

In the ever-evolving landscape of cancer research and treatment,the quest for novel and non-invasive imaging techniques has become crucial for accurate diagnosis and effective therapy.This study[1]successfully developed a good manufacturing practices(GMP)grade ^(89)Zr-labeled anti-Claudin18.2(CLDN18.2)recombinant humanized antibody TST001.^(89)Zr-DFO-TST001 exhibited high radiochemical purity(>99%)and specific activity(24.15±1.34 GBq/mmol).It demonstrated good specificity and rapid tumor accumulation in vivo and in vivo.Through immuno-PET imaging,it enables non-invasive visualization and quantification of CLDN18.2 expression level in CLDN18.2-positive gastrointestinal tumor models.