Indian Journal of Radiology and Imaging最新文献

{"title":"Diagnostic Value of Multiparametric Transrectal Ultrasound in Patients with Suspected Carcinoma of Prostate: A Tertiary Care Centre Experience.","authors":"Prabhjyot Singh Chowhan, Ujjwal Gorsi, Ravimohan Mavuduru, Anupam Lal, Uttam K Mete, Nandita Kakkar","doi":"10.1055/s-0045-1809318","DOIUrl":"10.1055/s-0045-1809318","url":null,"abstract":"<p><strong>Objectives: </strong>To establish the role of grayscale ultrasonography, shear wave elastography (SWE), and contrast-enhanced ultrasound (CEUS) independently and in combination with multiparametric transrectal ultrasound (mp-TRUS) in detecting peripheral zone prostate cancer (PCa) and to compare the performance of mp-TRUS with multiparametric MRI (mp-MRI), keeping biopsy as the gold standard.</p><p><strong>Materials and methods: </strong>Thirty men with clinically suspected PCa were enrolled in this single-center-based prospective study conducted over a period of 1.5 years. All patients underwent mp-MRI, mp-TRUS, and guided biopsy. The mp-MRI and mp-TRUS were conducted and interpreted by two different observers who were blinded to each other's findings. In all patients, biopsy cores were taken from a minimum of 12 predetermined sites with extra cores taken from lesions suspicious on either grayscale ultrasonography, SWE, or CEUS.</p><p><strong>Results: </strong>Malignancy was detected in 19 of our patients on mp-TRUS-guided biopsy. A total of 386 cores were obtained with a positive biopsy rate of 38%. mp-TRUS gave a sensitivity, specificity, PPV, NPV, and diagnostic accuracy of 100, 63.63, 82.61, 100, and 86.67%, respectively, while the values for mp-MRI were 94.74, 45.45, 75.00, 83.33, and 76.67%, respectively. The area under the ROC curve for mp-TRUS was 0.818 ± 0.076. This value was higher than that for mp-MRI (0.701 ± 0.083).</p><p><strong>Conclusion: </strong>Performance of mp-TRUS is comparable to that of mp-MRI in diagnosing peripheral zone PCa. By improving the diagnostic yield of grayscale ultrasonography, mp-TRUS also acts as a great guiding tool for targeted biopsies, especially in patients where no lesions are seen on grayscale imaging.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 2","pages":"175-182"},"PeriodicalIF":1.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13002280/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Image-Guided Percutaneous Spinal Biopsy: CT or C-Arm Guidance?","authors":"Sonal Saran, Nishith Kumar, Simran Suri, Tankeshwar Boruah, Geetika Khanna, Sonam Kaur Walia, Dharmendra Kumar Singh","doi":"10.1055/s-0045-1807747","DOIUrl":"10.1055/s-0045-1807747","url":null,"abstract":"<p><p>Image-guided percutaneous spinal biopsy is a minimally invasive procedure for histopathological confirmation and/or microbiological assessment of spinal lesions. When considering image-guided percutaneous spinal biopsy, both computed tomography (CT) and C-arm guidance have their advantages and specific applications. CT provides high-resolution cross-sectional images, allowing for precise localization of lesions and thus, effective for biopsy of spinal lesions in complex anatomical locations (e.g., cervical and upper dorsal spine). However, patients may receive higher doses of radiation than those with C-arm. C-arm guidance offers continuous imaging, which can enhance needle placement accuracy and is typically associated with lower radiation exposure than CT. However, C-arm provides less detailed images compared with CT, especially for certain lesions, and can be more challenging for accessing certain spinal areas, especially in the presence of anatomical variations. The choice between CT and C-arm guidance often depends on the specific clinical scenario, the location of the lesion, and the preferences of the clinician. For lesions that are easily accessible (lumbar, lower dorsal spine) and require real-time monitoring, C-arm may be preferred. For deeper or more complex lesions, CT guidance often provides better visualization and accuracy. Ultimately, the decision should be tailored to each patient's needs and the expertise of the clinician. This review article aims to compare the use of CT and C-arm guidance in percutaneous spinal biopsy, focusing on their technical aspects, diagnostic accuracy, and safety profiles.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"12-20"},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent National Medical Commission Guidelines for the Promotion of Medical Educators in India.","authors":"Himel Mondal","doi":"10.1055/s-0045-1809160","DOIUrl":"10.1055/s-0045-1809160","url":null,"abstract":"","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 2","pages":"283-285"},"PeriodicalIF":1.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13002272/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging after Pancreaticoduodenectomy: How Can the Radiologist Help the Surgeon.","authors":"Sanjay Chordiya, Binit Sureka, Tashmeen Sethi, Taruna Yadav, Vaibhav Kumar Varshney, Subhash Chandra Soni, Jeewan Ram Vishnoi, Ayushi Agrawal","doi":"10.1055/s-0045-1809382","DOIUrl":"10.1055/s-0045-1809382","url":null,"abstract":"<p><p>Pancreaticoduodenectomy is the one of the most complex surgeries done for periampullary pathologies. Computed tomography is the imaging modality of choice in the postoperative period. The radiologist should have the knowledge regarding normal findings and complications that can be encountered postsurgery. This will help in quick decision making and timely management of these complex cases.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"132-140"},"PeriodicalIF":1.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788925/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145954011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models.","authors":"Niharika Dutta, Pankaj Gupta","doi":"10.1055/s-0045-1809372","DOIUrl":"10.1055/s-0045-1809372","url":null,"abstract":"<p><strong>Background: </strong>Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths, with transarterial chemoembolization (TACE) being a key treatment for intermediate-stage cases. Accurate prediction of TACE response remains challenging, prompting the exploration of machine learning (ML) models.</p><p><strong>Aim: </strong>This study aims to investigate ML models for predicting the response to TACE in HCC patients.</p><p><strong>Materials and methods: </strong>We utilized the public \"WAW-TACE\" data set. This data set comprises clinical data and multiphasic computed tomography (CT) images with their corresponding masks. We divided this data set randomly into 183 training and validation cases and 50 held-out test cases. Four models were trained: (A) clinical model incorporating demographic and laboratory parameters, (B) radiomic model using PyRadiomics-extracted features, (C) deep neural network (DNN) using multiphasic CT images processed with MaskedAttentionViT, and (D) combined clinicoradiological model. Performance was assessed using fivefold cross-validation and testing on a held-out data set to predict a lack of response to TACE.</p><p><strong>Results: </strong>There were 64 (37%) responders and 109 (63%) nonresponders in the training set. There were 13 (26%) responders and 37 (74%) nonresponders in the test set. In the held-out test set, the clinical support vector machine model achieved an accuracy of 70%, sensitivity of 78.9%, specificity of 50%, and area under the curve (AUC) of 0.778 for predicting failure of TACE. The radiomic logistic regression model demonstrated an accuracy of 76.1%, sensitivity of 85.4%, specificity of 18.2%, and AUC of 0.740. The DNN had an accuracy of 63%, sensitivity of 65.7%, specificity of 54.5%, and AUC of 0.601. The combined clinicoradiological model yielded an accuracy of 55.6%, sensitivity of 50%, specificity of 72.7%, and AUC of 0.639.</p><p><strong>Conclusion: </strong>We utilized a multimodal approach to predict response to TACE in HCC patients. Further optimization and multicenter data sets are required to enhance predictive accuracy further.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 2","pages":"183-191"},"PeriodicalIF":1.1,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13002265/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Malignancy Risk Stratification of Suspicious Breast Microcalcifications Detected on Mammograms Using Morphological and Distribution Characteristics Based on the Fifth Edition of BI-RADS.","authors":"Suchitra S Hegde, Rupa Ananthasivan, Shilpa P Ramachandra","doi":"10.1055/s-0045-1809161","DOIUrl":"10.1055/s-0045-1809161","url":null,"abstract":"<p><strong>Background: </strong>Breast cancer is a major cause of mortality and morbidity in women. Hence, detecting suspicious microcalcifications on mammograms can be crucial for early diagnosis.</p><p><strong>Aims: </strong>To determine the malignancy risk of suspicious microcalcifications detected on mammograms in terms of positive predictive value (PPV) based on morphology and distribution characteristics and correlate results with BI-RADS Atlas, fifth edition and world literature.</p><p><strong>Materials and methods: </strong>This is a hospital-based observational study conducted at our institute over 15-month duration and included all symptomatic and asymptomatic females who underwent mammogram, detected with suspicious breast microcalcifications, followed by stereotactic or ultrasound-guided breast biopsy and histopathology.</p><p><strong>Statistical analysis: </strong>The chi-square test was used to test the association of the outcome. A <i>p</i>  < 0.05 was considered to be statistically significant.</p><p><strong>Results: </strong>Among 77 lesions, 56 were not associated with mass and 21 were associated with mass. Overall PPV for malignancy of suspicious microcalcifications not associated with mass was 37.5%, and PPV of these according to morphology descriptors was: amorphous 9.5%; coarse heterogeneous 45.4%; fine pleomorphic 50%, and fine linear/fine linear branching 100% ( <i>p</i>  < 0.001). Overall PPV when associated with mass was 71.4%. PPV of suspicious microcalcifications for distribution descriptors was: regional 0%, grouped 38.9%, linear 66.7%, and segmental 63.2%.</p><p><strong>Conclusion: </strong>Results of our study correlated well with BI-RADS, fifth edition. Subcategorizing morphology and distribution descriptors provides accurate risk stratification, determines the need for image-guided biopsy, and guides further management strategies.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"92-99"},"PeriodicalIF":1.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788938/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sclerotic Bone Lesion: A Novel Modification in Biopsy Technique to Increase Diagnostic Yield.","authors":"Sonal Saran, Simran Suri, Nishith Kumar, Divesh Jalan, Geetika Khanna, Neha Nischal, Dharmendra Kumar Singh","doi":"10.1055/s-0045-1809305","DOIUrl":"10.1055/s-0045-1809305","url":null,"abstract":"<p><p>Sclerotic bone lesions pose a significant diagnostic challenge due to their low diagnostic yield in core needle biopsy. In this technical note, we propose a novel modification to the standard biopsy technique aimed at improving the diagnostic yield of biopsies performed on sclerotic bone lesions. The modification involves use of trephine needle to acquire one bony core sample then using trucut biopsy needle to acquire samples through the tunnel created by the trephine needle. Our approach leverages optimized instrumentation to increase the likelihood of obtaining sufficient and representative tissue samples from challenging sclerotic lesions. Through a detailed description of the technique and its application in clinical practice, we demonstrate how this modification can significantly improve the diagnostic approach for sclerotic bone lesions, providing clinicians with a reliable method for accurate histopathological diagnosis.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 2","pages":"247-249"},"PeriodicalIF":1.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13002271/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Summary of the Proceedings of International Radiology Forum 2025: Green Radiology and Sustainability in Medical Imaging.","authors":"","doi":"10.1055/s-0045-1806938","DOIUrl":"https://doi.org/10.1055/s-0045-1806938","url":null,"abstract":"<p><p>The International Radiology Forum at the AOCR 2025 discussed the need for sustainability practices in medical imaging and \"Green Radiology\" for planet earth. The participating societies were invited to submit written reports detailing the current situation in their country or region. The International Radiology Forum is designed to discuss hot topics in the profession of radiology among various international societies. At the International Radiology Forum 2025, environmental impact of medical imaging was discussed and several ideas were proposed to achieve sustainability in medical imaging including training and education regarding green radiology, technology and innovation with utilization of AI, policy formulation and implementation, and the improvisation of hospital infrastructure to achieve a limited carbon footprint.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"209-212"},"PeriodicalIF":0.9,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034408/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Radiology Postgraduate Education with Increase in Number of Seats: The Way Forward.","authors":"Shyamkumar N Keshava, Binit Sureka","doi":"10.1055/s-0045-1805057","DOIUrl":"https://doi.org/10.1055/s-0045-1805057","url":null,"abstract":"","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"203"},"PeriodicalIF":0.9,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034410/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144008469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Summary of the Proceedings of Asian Oceanian Radiology Forum 2025: Key Challenges in Radiology Clinical Practice across the Asia-Oceania Region.","authors":"","doi":"10.1055/s-0045-1807250","DOIUrl":"https://doi.org/10.1055/s-0045-1807250","url":null,"abstract":"<p><p>The Asian Oceanian Radiology Forum at the AOCR 2025 discussed the key challenges in clinical radiology practice. The participating societies were invited to submit their report addressing the current situation in their country or region. The session also focussed on identifying common bottlenecks and possible solutions including financial sustainability, expansion of training and inclusion of articial intelligence (AI).</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"213-217"},"PeriodicalIF":0.9,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034399/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}