{"title":"Biventricular Noncompaction Cardiomyopathy: Rare Case with MRI Diagnosis Insights.","authors":"Shivam Angiras, Deb Kumar Boruah, Rajeev Bharadwaj, Pranjal Phukan, Kalyan Sarma","doi":"10.1055/s-0045-1809624","DOIUrl":"10.1055/s-0045-1809624","url":null,"abstract":"<p><p>Noncompaction cardiomyopathy (NCC) is a rare congenital cardiomyopathy caused by the arrest of endomyocardial morphogenesis, leading to prominent trabeculations and deep intertrabecular recesses. Emerging evidence suggests that noncompaction may also occur secondary to other myocardial pathologies or have a genetic basis. A 59-year-old male with no coronary risk factors presented with 1-year history of chest pain, palpitations, orthopnea, and fatigue. Clinical examination revealed atrial fibrillation, normal pulmonary findings, and no peripheral edema. Echocardiography showed inferior wall hypokinesia, grade I diastolic dysfunction, with ejection fraction of 48%. Cardiac magnetic resonance imaging (MRI) confirmed excessive myocardial trabeculations with reduced biventricular function. Petersen, Stacey, and Jacquier criteria established the diagnosis of biventricular noncompaction (BVNC), a rare form of NCC. The patient was managed with standard heart failure therapy. BVNC, while rare, poses diagnostic challenges and carries significant morbidity due to heart failure and arrhythmias. This case describes the importance of MRI for accurate diagnosis and tailored management in BVNC.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"124-127"},"PeriodicalIF":1.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788932/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953906","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":"Artificial Intelligence in Dental Imaging Practice among Oral Radiologists from the City of Chennai: A Qualitative Analysis.","authors":"Jeevitha Gauthaman","doi":"10.1055/s-0045-1809443","DOIUrl":"10.1055/s-0045-1809443","url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) has the potential to significantly transform the role of the doctor and revolutionize the practice of medicine and radiology. Studies have documented the clinical potentials of AI in medical imaging practice to improving patient care. There are no studies done in India that assess the attitude and perspectives of oral radiologists toward AI in dental radiology.</p><p><strong>Aim: </strong>The present study aimed to identify barriers and enablers for the implementation of AI in dental radiology.</p><p><strong>Materials & methods: </strong>The study employs a qualitative design using an open-ended instrument. The sample size was 35 oral radiologists who were working within the district of Chennai and convenience/snowball sampling was done. Data obtained were analyzed using qualitative content analysis. Six themes of concerns were generated: expectant tool; career insecurity; cost of new technology; equipment preservation and data insecurity; service delivery quality; need for expanding AI awareness. A questionnaire developed along the Theoretical Domains Framework and the Capabilities, Opportunities, and Motivations influencing Behaviors model was used to guide interviews. Mayring's content analysis was employed to point out barriers and enablers.</p><p><strong>Results: </strong>In the current study, nine themes were identified as enablers, four as conflicting themes, and seven as barriers for the acceptance of AI-integrated radiology. The factors that influence the radiology field and their attitude toward the introduction of AI in dental radiology were assessed thoroughly. Both stakeholders emphasized chances and hopes for AI along with marginal fear of job insecurity. A range of enablers for implementing AI in dental diagnostics was identified (e.g., the chance for higher diagnostic accuracy, a reduced workload, more comprehensive reporting, and better patient-provider communication).</p><p><strong>Conclusion: </strong>AI has an important role to play in the global health care setting. The current study reported the attitudes and apprehensions of oral radiologists toward AI integration in radiology. Decision-makers and radiology industry may want to consider the barriers and conflicting themes that appear as challenges to foster implementation of AI in dentistry.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 2","pages":"202-209"},"PeriodicalIF":1.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13002268/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147500603","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}
Stuti Chandola, Priyanka Naranje, Arun Kumar Gupta, Aanchal Kakkar, Venkat Iyer, Maroof Ahmad Khan, Manisha Jana
{"title":"CT-Based Texture Analysis in Indeterminate Pediatric Renal and Pararenal Masses.","authors":"Stuti Chandola, Priyanka Naranje, Arun Kumar Gupta, Aanchal Kakkar, Venkat Iyer, Maroof Ahmad Khan, Manisha Jana","doi":"10.1055/s-0045-1808089","DOIUrl":"10.1055/s-0045-1808089","url":null,"abstract":"<p><strong>Background: </strong>Differentiation between pediatric Wilms tumor and neuroblastoma may be difficult when solely based on conventional computed tomography (CT) features, especially in large tumors.</p><p><strong>Objective: </strong>This article analyzes the role of CT-based texture analysis (CTTA) in differentiating (1) pediatric Wilms tumor and neuroblastoma and (2) between histological and <i>MYCN</i> amplified subtypes of neuroblastoma.</p><p><strong>Materials and methods: </strong>Treatment-naive cases of pediatric (< 18 years) renal/pararenal tumors who underwent a single-phase contrast-enhanced CT of chest, abdomen, and pelvis for staging and preoperative evaluation purposes were enrolled. CT images were processed with texture analysis software for first-order texture features. Calculated parameters included mean, variance, skewness, and kurtosis. Grayscale features were also analyzed among the tumor groups and subgroups. Mann-Whitney <i>U</i> and Fisher's exact tests were used for statistical analysis. A <i>p</i> -value of < 0.05 was considered significant.</p><p><strong>Observations and results: </strong>A total of 37 lesions (22 neuroblastoma, 15 Wilms) were evaluated. With respect to grayscale features, neuroblastoma tumors exhibited calcifications in greater frequency with a higher propensity for nodal and visceral metastasis. Significant differences were observed when comparing variance of the two tumor groups with neuroblastoma showing higher intralesional variance values than Wilms tumor. Undifferentiated subtype of neuroblastoma demonstrated higher intralesional variance than other two subtypes combined; <i>MYCN</i> amplified tumors showed higher intralesional mean value than unamplified tumors ( <i>p</i> < 0.05 for both). The various neuroblastoma subgroups did not significantly differ when considering the grayscale parameters.</p><p><strong>Conclusion: </strong>CTTA has a potential role in allowing differentiation between neuroblastoma and Wilms tumor. It may additionally allow differentiation among various histological subtypes of neuroblastoma and detection of <i>MYCN</i> amplified neuroblastoma.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"76-83"},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953819","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}
Akhil Thomas, Mainak Sinha, Subhash Kumar, Anand K Das, Saraj K Singh
{"title":"Prediction of Survival in Surgically Treated Glioblastoma Multiforme Utilizing DTI and Contrast-Enhanced MRI.","authors":"Akhil Thomas, Mainak Sinha, Subhash Kumar, Anand K Das, Saraj K Singh","doi":"10.1055/s-0045-1807738","DOIUrl":"10.1055/s-0045-1807738","url":null,"abstract":"<p><p><b>Introduction</b> Glioblastoma multiforme (GBM) is a highly malignant brain tumor with poor prognosis, despite maximal safe resection and chemoradiotherapy. Predicting survival outcomes is crucial for optimizing treatment strategies. While conventional magnetic resonance imaging (MRI) reveals tumor characteristics, advanced sequences like diffusion tensor imaging (DTI) and susceptibility-weighted imaging (SWI) may enhance prognostic accuracy. <b>Materials and Methods</b> A retrospective study reviewed 45 newly diagnosed GBM patients treated with maximal safe resection, adjuvant radiotherapy, and temozolomide between 2016 and 2022. Preoperative MRI data, including conventional sequences, DTI, and SWI, were analyzed. Radiological parameters-tumor volume, edema:tumor volume ratio, necrosis, enhancement, fractional anisotropy (FA), and microhemorrhage-were assessed for survival prediction. Kaplan-Meier survival analysis and Cox regression evaluated their prognostic significance. <b>Results</b> Among the 45 patients, the median follow-up was 58.3 weeks, with 30 deaths reported. Significant differences were observed in FA, edema:tumor volume ratio, necrosis, enhancement, and microhemorrhage between survivors and nonsurvivors. Higher edema:tumor volume ratio (cutoff ≥ 0.905, area under the curve [AUC] = 0.895) and higher FA (cutoff ≥ 0.655, AUC = 0.8) correlated with mortality and survival, respectively. Multivariate Cox regression identified edema:tumor volume ratio (hazard ratio [HR] = 7.4, <i>p</i> < 0.05) and microhemorrhage > 25% (HR = 45.9, <i>p</i> < 0.05) as independent predictors of mortality. <b>Conclusion</b> Tumor-related edema and necrosis significantly influence mortality, with edema:tumor volume ratio emerging as a stronger predictor than individual tumor or edema volumes. FA values reflect tumor aggressiveness, correlating with survival. Incorporating advanced imaging parameters like DTI and SWI alongside conventional MRI enhances prognostic precision in GBM management.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"48-58"},"PeriodicalIF":1.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788931/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145954006","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":"CT-Guided Percutaneous Core Needle Biopsy of Small Pulmonary Nodules (< 2 cm): How Efficient is it as a Diagnostic Tool in Ruling Out Metastatic Disease?","authors":"Dayananda Lingegowda, Manisha Agrawal, Argha Chatterjee, Priya Ghosh, Jeevitesh Khoda, Anisha Gehani, Saugata Sen, Sumit Mukhopadhyay, Aditi Chandra, Anurima Patra","doi":"10.1055/s-0045-1808259","DOIUrl":"10.1055/s-0045-1808259","url":null,"abstract":"<p><strong>Introduction: </strong>Incidentally detected small pulmonary nodules in patients with an underlying malignancy most often warrant sampling. Biopsy from such small pulmonary nodules (< 2 cm) is challenging. In this study, we aim to evaluate the accuracy of computed tomography (CT)-guided percutaneous core needle biopsy (CNB) of small pulmonary nodules.</p><p><strong>Materials and methods: </strong>A total of 169 patients who had CT-guided percutaneous CNB for small pulmonary nodules (less than 2 cm) between January 2015 and December 2018 were the subjects of this retrospective, single-center investigation. We determined the success rate of CNB and the rate of a diagnostic biopsy. Calculations were made for a multivariate study of the risk variables for complications, such as pneumothorax and pulmonary hemorrhage.</p><p><strong>Results: </strong>The success rate of lung biopsy, defined by obtaining a sample of pathologically reportable quality, was 92.9% (157/169). A malignancy was diagnosed in 60.4% of cases (102/169). Pneumothorax developed in 21.9% cases (37/169), with only 5.3% (9/169) patients requiring treatment (8 needle aspirations and 1 pigtail catheter drainage). Use of a thicker (18G) biopsy needle was the only statistically significant predictor of pneumothorax (odds ratio 2.61, 95% confidence interval 1.24-5.51, <i>p</i> = 0.01). Perifocal hemorrhage was common (72.2%, 122/169) but clinically significant pulmonary lobar hemorrhage was seen only in 6.5% of the cases (11/169). One patient required intensive care unit admission due to desaturation from aspiration of blood.</p><p><strong>Conclusion: </strong>CT-guided biopsy of small pulmonary nodules is safe and feasible with a good success rate.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"84-91"},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788929/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953971","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}
Sanchanaa Sree Balakrishnan, Bhawna Dev, Leena Dennis Joseph
{"title":"Spectrum of Typical and Atypical Imaging Findings and Pathological Features in Diabetic Mastopathy.","authors":"Sanchanaa Sree Balakrishnan, Bhawna Dev, Leena Dennis Joseph","doi":"10.1055/s-0045-1808258","DOIUrl":"10.1055/s-0045-1808258","url":null,"abstract":"<p><p>Diabetic mastopathy (DMP) is a rare fibroinflammatory condition of the breast seen in patients with diabetes mellitus (DM), which mimics malignancy on imaging. We present eight cases of biopsy-proven DMP with typical (1/8 cases) and atypical (7/8 cases) imaging appearances and describe their histopathological features including duct dilatation/distortion, tight periductal cuffing by inflammatory infiltrates, type of inflammatory infiltrate, stromal fibrosis, epithelial fibroblasts, and grade of lobulitis (mild, moderate, and severe). Our case series depicts the varied atypical imaging findings in DMP and the indispensable role of histopathology in diagnosis. The postbiopsy diagnosis of DM in one of our patients highlights the possible role of histopathology in the detection of patients who may be prone to develop diabetes later. Our series also showed a lack of correlation between the radiopathological findings and clinical features such as duration or type of DM, treatment, and glycemic control status.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"112-119"},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953984","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":"Beyond the Lumen: Role of High-Resolution Magnetic Resonance Vessel Wall Imaging in Assessing Intracranial Aneurysms-A Prospective Observational Study from North India.","authors":"Shumyla Jabeen, Mudasir Hamid Bhat, Mujtaba Tahir Gani, Naseer A Choh, Irfan Robbani, Sheikh Riaz Rasool, Sarbjit Singh Chhiber, Feroze Shaheen, Tahleel Altaf Shera, Abdul Rashid Bhat","doi":"10.1055/s-0045-1807748","DOIUrl":"10.1055/s-0045-1807748","url":null,"abstract":"<p><strong>Background: </strong>Intracranial aneurysm rupture leading to subarachnoid hemorrhage (SAH) is associated with high morbidity and mortality. While conventional imaging modalities like computed tomography (CT) angiography and digital subtraction angiography (DSA) are commonly employed, they primarily visualize the lumen rather than the vessel wall itself. Recent advancements in magnetic resonance vessel wall imaging present an opportunity to explore the role of inflammation in aneurysm rupture, thus also potentially serving as a predictor for rupture risk.</p><p><strong>Aims: </strong>This study aimed to assess vessel wall enhancement patterns in ruptured and unruptured intracranial aneurysms, correlating these patterns with aneurysm morphology and evaluate the relationship between the PHASES score and enhancement characteristics.</p><p><strong>Materials and methods: </strong>Patients with confirmed intracranial aneurysms on CT angiography and/or DSA underwent plain and contrast-enhanced T1 SPACE (sampling perfection with application-optimized contrasts using different flip angle evolution) images to assess vessel wall enhancement, which was classified as absent, focal, or circumferential termed as grade 0, 1, and 2, respectively.</p><p><strong>Results: </strong>Out of 60 patients included in the study, 60% presented with ruptured aneurysms. All ruptured aneurysms showed vessel wall enhancement, which was circumferential in 46.7% cases. In contrast, only 30% of unruptured aneurysms showed any form of enhancement, which was predominantly grade 1. Statistical analysis revealed a significant association between enhancement patterns and rupture status, with a <i>p</i> -value of < 0.001.</p><p><strong>Conclusion: </strong>Vessel wall enhancement was observed in all ruptured aneurysms, thus suggesting a potential role of inflammation in the disruption of aneurysm wall integrity. It may thus also serve as a predictor of aneurysm rupture, enhancing clinical decision-making for patient management.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"69-75"},"PeriodicalIF":1.1,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788934/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953816","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}
Vishnu Prasad Pulappadi, Santhosh Poyyamoli, Nishitha Singareddyhalli Hanumantharaju, Showkat Ahmad Banday, Suheel Ur Rahman, Pankaj Mehta, Mathew Cherian
{"title":"Spectrum of Endovascular Embolization Techniques for the Treatment of Renal Vascular Lesions.","authors":"Vishnu Prasad Pulappadi, Santhosh Poyyamoli, Nishitha Singareddyhalli Hanumantharaju, Showkat Ahmad Banday, Suheel Ur Rahman, Pankaj Mehta, Mathew Cherian","doi":"10.1055/s-0045-1809168","DOIUrl":"10.1055/s-0045-1809168","url":null,"abstract":"<p><p>Renal vascular lesions are rare and often asymptomatic. They can be congenital or acquired. Congenital lesions include aneurysms, arteriovenous malformations (AVMs), and arteriovenous fistulas (AVFs). Acquired lesions are usually secondary to trauma or iatrogenic injury and include pseudoaneurysms, AVFs, and vessel transection. Management of renal vascular lesions depends on the location and type of the lesion. AVMs are managed by endovascular embolization of the nidus. It can be done by transarterial route when a single or a few arterial feeders are present. The transvenous route is preferred for complete obliteration of the nidus if multiple arterial feeders and a single collector vein are present. Liquid embolic agents are the preferred embolizing agents in AVMs. Congenital or acquired AVFs are managed by coil embolization. Superselective embolization using coils or n-butyl cyanoacrylate glue is the treatment of choice for aneurysms, pseudoaneurysms, and transections involving the segmental renal arteries. Aneurysms and pseudoaneurysms involving the main renal artery are treated by stent graft placement.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"21-30"},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953937","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}
Rajat Nandi, Ritu Misra, Neha Bagri, Saritha Shamsunder, Charanjeet Ahluwalia
{"title":"Quantitative Diffusion and Perfusion MRI as Response Predictor in Cervical Squamous Cell Carcinoma Treated with CCRT.","authors":"Rajat Nandi, Ritu Misra, Neha Bagri, Saritha Shamsunder, Charanjeet Ahluwalia","doi":"10.1055/s-0045-1807721","DOIUrl":"10.1055/s-0045-1807721","url":null,"abstract":"<p><strong>Purpose: </strong>This article evaluates the treatment response to chemoradiotherapy in locally advanced cervical squamous cell carcinoma using quantitative diffusion and perfusion magnetic resonance imaging (MRI) parameters and studies their role as response predictors.</p><p><strong>Materials and methods: </strong>Patients diagnosed with locally advanced squamous cell carcinoma cervix (LASCC) and planned for concurrent chemoradiotherapy (CCRT) were included. Diffusion-weighted imaging (DWI) and perfusion MRI were performed both pre- and post-CCRT. Statistical analysis of quantitative DWI (apparent diffusion coefficient [ADC]) and perfusion MRI parameters (K <sub>trans</sub> , K <sub>ep</sub> , V <sub>e</sub> , V <sub>p</sub> , SI <sub>max</sub> , SI <sub>rel</sub> , and time-to-peak) was done to assess the tumor regression rate and compare them between the residual and nonresidual groups.</p><p><strong>Results: </strong>All the MR perfusion parameters showed statistically significant results ( <i>p</i> < 0.05) for the evaluation of the treatment response of LASCC to CCRT using the obtained cutoff values, except for Vp. The highest diagnostic performance was of pretreatment K <sub>ep</sub> with a sensitivity of 100%, specificity of 80%, positive predictive value of 54.5%, negative predictive value of 100%, area under the curve of 0.833, and diagnostic accuracy of 74.2%. However, ADC values did not show any significant result for the evaluation of the treatment response of LASCC.</p><p><strong>Conclusion: </strong>Quantitative MR perfusion parameters have a significant role in evaluating treatment response to CCRT in LASCC.</p>","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"36 1","pages":"59-68"},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12788943/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145953964","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}