Indian Journal of Radiology and Imaging最新文献_第4页

Vacuum-Assisted Excision of B3 Lesions: A District General Hospital Experience. 真空辅助切除B3病变：一个地区综合医院的经验。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-31 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1801267

Anu Sandhya, Qurat Ul Ain Tahir, Keerthanaa Veerapatheran

{"title":"Vacuum-Assisted Excision of B3 Lesions: A District General Hospital Experience.","authors":"Anu Sandhya, Qurat Ul Ain Tahir, Keerthanaa Veerapatheran","doi":"10.1055/s-0044-1801267","DOIUrl":"https://doi.org/10.1055/s-0044-1801267","url":null,"abstract":"Objective The objective of this study was to evaluate the efficacy of utilizing vacuum-assisted excision (VAE) for the management of B3 lesions and to determine the rate of malignant upgrades. Materials and Methods This observational study was conducted at Surrey and Sussex NHS Healthcare Redhill. All patients with B3 histology on core biopsy from October 2019 to October 2022 were included in the study. The upgrades in both the B3 group with atypia and the B3 group without atypia were examined in terms of ductal carcinoma in situ (DCIS), invasive status, and grade. The data obtained were analyzed using the SPSS version 21. Results About 65% of the participants in the present study have B3 lesions in their left breast and 43% of the participants have lesions located in the upper inner area of the breast. The majority of the participants in the study had B3 lesions without atypia (75%). In 70 participants, VAE was performed. Out of 70 participants, only 15 had lesion upgrade after VAE (21.4%). Post-VAE follow-up planning was discussed in multidisciplinary team as per the National Health Service breast screening guidelines. Conclusion The utilization of VAE is a viable alternative strategy for the treatment of B3 lesions, resulting in a decrease in the necessity for invasive surgical interventions. This observational study shows the efficacy of a less invasive procedure in replacement of a surgical procedure producing optimal long-term benefit and less side effects.","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"326-331"},"PeriodicalIF":0.9,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034398/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144048541","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}

引用次数: 0

Revolutionizing Radiology: The Role of Large Language Models. 革命性的放射学：大型语言模型的作用。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-17 eCollection Date: 2025-01-01 DOI: 10.1055/s-0044-1796676

Ajay Alex, C Kesavadas

引用次数: 0

A Radiologist's Perspective of Medical Annotations for AI Programs: The Entire Journey from Its Planning to Execution, Challenges Faced. 放射科医生对人工智能医疗注释的看法：从计划到执行的整个过程，面临的挑战。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-11 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1800860

Anuradha Rao

{"title":"A Radiologist's Perspective of Medical Annotations for AI Programs: The Entire Journey from Its Planning to Execution, Challenges Faced.","authors":"Anuradha Rao","doi":"10.1055/s-0044-1800860","DOIUrl":"https://doi.org/10.1055/s-0044-1800860","url":null,"abstract":"Artificial intelligence (AI) in radiology and medical science is finding increasing applications with annotations being an integral part of AI development. While annotation may be perceived as passive work of labeling a certain anatomy, the radiologist plays a more important role in this task apart from marking the structures needed. Apart from annotation, more important aspect of their role is planning the anatomies/pathologies needed, type of annotations to be done, choice of the annotation tool, training the annotators, planning the duration of annotation, etc. A close interaction with the technical team is a key factor in the success of the annotations. The quality check of both the internally and externally annotated data, creating a team of good annotators, training them, and periodically reviewing the quality of data become an integral part of their work. Documentation related to the annotation work is another important area where the clinician plays an integral role to comply with the Food and Drug Administration requirements, focused on a clinically explainable and validated AI algorithms. Thus, the clinician becomes an integral part in the ideation, design, implementation/execution of annotations, and its quality control. This article summarizes the experiences gained during planning and executing the annotations for multiple annotation projects involving various imaging modalities with different pathologies.","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"246-253"},"PeriodicalIF":0.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039139","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}

引用次数: 0

Predicting Renal Cell Carcinoma Subtypes and Fuhrman Grading Using Multiphasic CT-Based Texture Analysis and Machine Learning Techniques. 基于多相ct的纹理分析和机器学习技术预测肾细胞癌亚型和Fuhrman分级。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-11 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1796639

Amit Gupta, Sanil Garg, Neel Yadav, Rohan Raju Dhanakshirur, Kshitiz Jain, Rishi Nayyar, Seema Kaushal, Chandan J Das

{"title":"Predicting Renal Cell Carcinoma Subtypes and Fuhrman Grading Using Multiphasic CT-Based Texture Analysis and Machine Learning Techniques.","authors":"Amit Gupta, Sanil Garg, Neel Yadav, Rohan Raju Dhanakshirur, Kshitiz Jain, Rishi Nayyar, Seema Kaushal, Chandan J Das","doi":"10.1055/s-0044-1796639","DOIUrl":"https://doi.org/10.1055/s-0044-1796639","url":null,"abstract":"Objectives The aim of this study is to evaluate computed tomography texture analysis (CTTA) on multiphase CT scans for distinguishing clear cell renal cell carcinoma (ccRCC) from non-ccRCC and predicting Fuhrman's grade in ccRCC using open-source Python libraries. Materials and Methods Conducted retrospectively, the study included 144 patients with RCCs (108 ccRCCs and 36 non-ccRCCs) who underwent preoperative multiphasic CT. Ninety ccRCCs were categorized into 71 low-grade and 19 high-grade ccRCCs. Tumor was marked on the largest axial tumor slice using \"LabelMe\" across different CT phases. First- and second-order texture features were computed using Python's scipy, numpy, and opencv libraries. Multivariable logistic regression analysis and machine learning (ML) models were used to evaluate CTTA parameters from different CT phases for RCC classification. The best ML model for distinguishing ccRCC and non-ccRCC was externally validated using data from the 2019 Kidney and Kidney Tumor Segmentation Challenge. Results Entropy in the corticomedullary (CM) phase was the best individual parameter for distinguishing ccRCC from non-ccRCC with (F1 score: 0.83). The support vector machine (SVM) based ML model, incorporating CM phase features, performed the best, with an F1 score of 0.87. External validation for the same model yielded an accuracy of 0.82 and an F1 score of 0.81. ML models and individual texture parameters showed less accuracy for classifying low- versus high-grade ccRCCs, with a maximum F1 score of 0.76 for the CM phase SVM model. Other CT phases yielded inferior results for both classification tasks. Conclusion CTTA employing open-source Python tools is a viable tool for differentiating ccRCCs from non-ccRCCs and predicting ccRCC grade.","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"306-315"},"PeriodicalIF":0.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057051","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}

引用次数: 0

Seven Golden Steps for Performing Safe and Effective Percutaneous C-Arm-Guided Vertebral Intervention. 实施安全有效的经皮c臂引导椎体介入治疗的七个黄金步骤。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-11 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1796645

Upinderjeet Singh, Nishith Kumar, Alfa Shamim Saifi, Dharmendra Kumar Singh

引用次数: 0

Transaneurysmal Suturing of Pseudoaneurysm Neck: Novel and Not a Pseudo-Technique for Treatment of Complicated Femoral Pseudoaneurysm. 假性动脉瘤颈经动脉瘤缝合术：治疗复杂股骨假性动脉瘤的新技术。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-11 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1793810

Niraj Kumar, Chandan Kumar Pal, Somsharan Shankerappa Betgeri, Amar Mukund

{"title":"Transaneurysmal Suturing of Pseudoaneurysm Neck: Novel and Not a Pseudo-Technique for Treatment of Complicated Femoral Pseudoaneurysm.","authors":"Niraj Kumar, Chandan Kumar Pal, Somsharan Shankerappa Betgeri, Amar Mukund","doi":"10.1055/s-0044-1793810","DOIUrl":"https://doi.org/10.1055/s-0044-1793810","url":null,"abstract":"Introduction Femoral pseudoaneurysm is one of the common complications following femoral artery catheterization. It poses a significant morbidity and a nonsurgical technique with the utmost low complication risk is warranted. Various methods have been used to treat these pseudoaneurysms including manual compression, ultrasound-guided compression, and percutaneous injection of thrombin or glue. Various novel methods are also being used to treat the pseudoaneurysms, including angioseal closure device, vascular plugs, etc. Cirrhosis poses a separate challenge with deranged coagulation and hyperfibrinolysis, making traditional methods, which are dependent on patients' coagulation cascade, less effective. Materials and Methods We used a novel technique to treat the complicated femoral pseudoaneurysm using a suture-mediated closure device, Perclose ProGlide system (Abbott Vascular, California, United States). The transaneurysmal approach was used in seven patients. All the patients had acute or chronic liver disease with deranged coagulation. Six patients had femoral arterial access for angiographic procedure while one had a femoral line for intensive care unit monitoring. Compression was done in all the patients, but failed. Percutaneous injection of thrombin was done in two patients. Results Technical success was achieved in 7/7 (100%) patients. There was instantaneous thrombosis of the pseudoaneurysm, which was confirmed the next day by ultrasound. There were no procedure-related complications. Conclusion Transaneurysmal closure of the femoral pseudoaneurysm using suture-mediated closure device is a novel and effective, minimally invasive bedside technique that can be used in patients with deranged coagulation.","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"295-300"},"PeriodicalIF":0.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995424","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}

引用次数: 0

CECT and CT Perfusion Correlation with Pathological Differentiation of Pharyngeal and Laryngeal Cancers: Study from a Tertiary Care Center in Northeast India. CECT和CT灌注与咽喉癌病理分化的相关性：来自印度东北部三级保健中心的研究。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-11 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1796643

Himraj Phukan, Donboklang Lynser, Chhunthang Daniala, Vandana Raphael, Caleb Harris, Suvamoy Chakraborty

{"title":"CECT and CT Perfusion Correlation with Pathological Differentiation of Pharyngeal and Laryngeal Cancers: Study from a Tertiary Care Center in Northeast India.","authors":"Himraj Phukan, Donboklang Lynser, Chhunthang Daniala, Vandana Raphael, Caleb Harris, Suvamoy Chakraborty","doi":"10.1055/s-0044-1796643","DOIUrl":"https://doi.org/10.1055/s-0044-1796643","url":null,"abstract":"Introduction Pharyngeal and laryngeal carcinomas, included under head and neck cancers, pose a significant challenge in India, accounting for around one-third of all cancer cases. Noninvasive techniques like contrast-enhanced computed tomography (CECT) and CT perfusion (CTp) can help explore the correlation between tumor differentiations, which can greatly benefit in the diagnosis, understanding of recurrence postintervention, and monitoring of the progress of the disease. Materials and Methods A hospital-based cross-sectional study was conducted for a duration of 18 months in a tertiary care center of northeast India with a sample of 40 patients. CECT and CTp were done and the variables were correlated with pathological differentiation of tumors. Results The mean age of the study population was 54 years. No statistically significant associations were noted between the age, size, margins, location, and T-staging of tumors with the pathological differentiation of tumors. However, significant association was found between the CTp parameters, namely blood flow (BF), blood volume, mean transit time, time to drain, and time to peak with respect to the pathological differentiation of tumors ( p < 0.05). Conclusion The addition of CTp to conventional CT sequences in the evaluation of pharyngeal and laryngeal cancers offers significant benefits in understanding the tumor physiology and behavior.","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"316-325"},"PeriodicalIF":0.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034418/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040492","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}

引用次数: 0

Eco-Friendly Medical Conferences: From Principle to Practice. 环保医学会议：从原则到实践。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-11 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1796638

Kirti Anna Koikkara, Hima Pendharkar, Aparna Irodi, Rohith Puthan Veettil Nair, Nishtha Yadav, Amarnath Chellathurai, Shyamkumar N Keshava

引用次数: 0

Impact of Paper Consumption in Radiology Departments on Carbon Footprint and Climate Change: A Retrospective Analysis and Future Projections. 放射科纸张消耗对碳足迹和气候变化的影响：回顾性分析和未来预测。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-11 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1793915

Sushmitha Jagadeesha, Shikha Agarwal, Mohsin Hussein, A Mark Davies, Durosinmi Adebowale, Rajesh Botchu

{"title":"Impact of Paper Consumption in Radiology Departments on Carbon Footprint and Climate Change: A Retrospective Analysis and Future Projections.","authors":"Sushmitha Jagadeesha, Shikha Agarwal, Mohsin Hussein, A Mark Davies, Durosinmi Adebowale, Rajesh Botchu","doi":"10.1055/s-0044-1793915","DOIUrl":"https://doi.org/10.1055/s-0044-1793915","url":null,"abstract":"Introduction Climate change and global warming have major contributions from greenhouse gas emissions. Despite the introduction of digitalized systems, many health care systems still rely heavily on paper. The purpose of this study is to investigate paper usage in the radiology department of a single hospital institution over the last 3 years to forecast paper usage up to 2050. Materials and Methods This retrospective study was performed in the radiology department of our tertiary orthopaedic hospital. The study included forms used for diagnostic and interventional procedures in various departmental modalities. Diagnostic procedures require one to three forms and interventional procedures require three forms each. Based on the established ratio that 1.2 trees are cut for every 10,000 sheets of papers used, the study calculated the number of trees cut annually over the past 3 years and projected paper usage and tree loss until 2050. Results Paper usage was distributed between diagnostic and interventional procedures, with 67% used in diagnostics and 33% in interventions. The corresponding number of trees cut during this period amounted to 53.729 trees, with 47.4 trees for diagnostic procedures and 6.4 trees for interventional procedures. A total of 57.8 trees for diagnostic procedures and 11.7 trees for interventional procedures were forecasted to be cut annually from 2024 to 2050, cumulatively being 1,227 trees by the year 2050. Conclusion Our individual department had a significant contribution from paper usage in the carbon footprint of the department. Adoption of digitalized appointment, prescribing, and patient records is important in reducing this and achieving the NHS net zero targets.","PeriodicalId":51597,"journal":{"name":"Indian Journal of Radiology and Imaging","volume":"35 2","pages":"301-305"},"PeriodicalIF":0.9,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12034401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032080","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}

引用次数: 0

The Rotator Interval Bursa (RIB) Technique: Sequential Rotator Interval and Subacromial Subdeltoid Bursa Injection. 旋转间歇法氏囊（RIB）技术：连续旋转间歇和肩峰下三角下法氏囊注射。

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Indian Journal of Radiology and Imaging Pub Date : 2024-12-11 eCollection Date: 2025-04-01 DOI: 10.1055/s-0044-1796640

Neha Nischal, Chetna Mishra, Jatinder Pal Singh

引用次数: 0