Korean Journal of Radiology最新文献

{"title":"Sustainability in Radiology: Position Paper and Call to Action From ACR, AOSR, ASR, CAR, CIR, ESR, ESRNM, ISR, IS3R, RANZCR, and RSNA.","authors":"Andrea G Rockall, Bibb Allen, Maura J Brown, Tarek El-Diasty, Jan Fletcher, Rachel F Gerson, Stacy Goergen, Amanda P Marrero González, Thomas M Grist, Kate Hanneman, Christopher P Hess, Evelyn Lai Ming Ho, Dina H Salama, Julia Schoen, Sarah Sheard","doi":"10.3348/kjr.2025.0125","DOIUrl":"10.3348/kjr.2025.0125","url":null,"abstract":"<p><p>The urgency for climate action is recognised by international government and healthcare organisations, including the United Nations (UN) and World Health Organisation (WHO). Climate change, biodiversity loss, and pollution negatively impact all life on earth. All populations are impacted but not equally; the most vulnerable are at highest risk, an inequity further exacerbated by differences in access to healthcare globally. The delivery of healthcare exacerbates the planetary health crisis through greenhouse gas emissions, largely due to combustion of fossil fuels for medical equipment production and operation, creation of medical and non-medical waste, and contamination of water supplies. As representatives of radiology societies from across the globe who work closely with industry, and both governmental and non-governmental leaders in multiple capacities, we advocate together for urgent, impactful, and measurable changes to the way we deliver care by further engaging our members, policymakers, industry partners, and our patients. Simultaneous challenges including global health disparities, resource allocation, and access to care must inform these efforts. Climate literacy should be increasingly added to radiology training programmes. More research is required to understand and measure the environmental impact of radiological services and inform mitigation, adaptation and monitoring efforts. Deeper collaboration with industry partners is necessary to support innovations in the supply chain, energy utilization, and circular economy. Many solutions have been proposed and are already available, but we must understand and address barriers to implementation of current and future sustainable innovations. Finally, there is a compelling need to partner with patients, to ensure that trust in the excellence of clinical care is maintained during the transition to sustainable radiology. By fostering a culture of global cooperation and rapid sharing of solutions amongst the broader imaging community, we can transform radiological practice to mitigate its environmental impact, adapt and develop resilience to current and future climate and environmental threats, and simultaneously improve access to care.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 4","pages":"294-303"},"PeriodicalIF":4.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955381/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143730701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiac MRI Characteristics of Noonan Syndrome Associated With Hypertrophic Cardiomyopathy and Congenital Heart Disease.","authors":"Zhengxuan Peng, Xiaoyan Ma, Shibo Li, Xingguang Liu, Xing Zhou","doi":"10.3348/kjr.2024.1316","DOIUrl":"10.3348/kjr.2024.1316","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 4","pages":"394-396"},"PeriodicalIF":4.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143730697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adherence of Studies on Large Language Models for Medical Applications Published in Leading Medical Journals According to the MI-CLEAR-LLM Checklist.","authors":"Ji Su Ko, Hwon Heo, Chong Hyun Suh, Jeho Yi, Woo Hyun Shim","doi":"10.3348/kjr.2024.1161","DOIUrl":"10.3348/kjr.2024.1161","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the adherence of large language model (LLM)-based healthcare research to the Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM) checklist, a framework designed to enhance the transparency and reproducibility of studies on the accuracy of LLMs for medical applications.</p><p><strong>Materials and methods: </strong>A systematic PubMed search was conducted to identify articles on LLM performance published in high-ranking clinical medicine journals (the top 10% in each of the 59 specialties according to the 2023 Journal Impact Factor) from November 30, 2022, through June 25, 2024. Data on the six MI-CLEAR-LLM checklist items: 1) identification and specification of the LLM used, 2) stochasticity handling, 3) prompt wording and syntax, 4) prompt structuring, 5) prompt testing and optimization, and 6) independence of the test data-were independently extracted by two reviewers, and adherence was calculated for each item.</p><p><strong>Results: </strong>Of 159 studies, 100% (159/159) reported the name of the LLM, 96.9% (154/159) reported the version, and 91.8% (146/159) reported the manufacturer. However, only 54.1% (86/159) reported the training data cutoff date, 6.3% (10/159) documented access to web-based information, and 50.9% (81/159) provided the date of the query attempts. Clear documentation regarding stochasticity management was provided in 15.1% (24/159) of the studies. Regarding prompt details, 49.1% (78/159) provided exact prompt wording and syntax but only 34.0% (54/159) documented prompt-structuring practices. While 46.5% (74/159) of the studies detailed prompt testing, only 15.7% (25/159) explained the rationale for specific word choices. Test data independence was reported for only 13.2% (21/159) of the studies, and 56.6% (43/76) provided URLs for internet-sourced test data.</p><p><strong>Conclusion: </strong>Although basic LLM identification details were relatively well reported, other key aspects, including stochasticity, prompts, and test data, were frequently underreported. Enhancing adherence to the MI-CLEAR-LLM checklist will allow LLM research to achieve greater transparency and will foster more credible and reliable future studies.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":" ","pages":"304-312"},"PeriodicalIF":4.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955383/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143522826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Safety and Efficacy of Venous Coil-Embolization of Type IIa Pelvic Arteriovenous Malformations.","authors":"Lyo Min Kwon, Sang Yub Lee, Young Soo Do, Kwang Bo Park, Jun Gon Kim, Shin-Seok Yang, Dong-Ik Kim","doi":"10.3348/kjr.2024.0977","DOIUrl":"10.3348/kjr.2024.0977","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the safety and efficacy of coil embolization of venous segments in patients with Type IIa pelvic arteriovenous malformations (AVMs).</p><p><strong>Materials and methods: </strong>A retrospective study was performed on 13 patients (median age, 43 years, range 20-62 years, 7 males) who underwent transvenous coil embolization for Type IIa pelvic AVM (characterized by multiple arterioles shunting to focal venous segments of a single draining vein) without the use of additional liquid embolic agents from March 2017 to February 2023. Treatment outcomes were analyzed based on clinical evaluations, post angiography findings, and follow-up CT.</p><p><strong>Results: </strong>Fourteen procedures were performed on 13 patients. Except in one patient, all treatments were completed in a single session. Transvenous access was employed in 10 procedures, whereas direct puncture was used in four sessions. The embolization procedures used an average of 55.7 ± 58.5 coils (range, 7-238) and lasted an average of 127.3 ± 39.5 minutes. The technical success rate was 92.9% (of 13/14). All patients reported symptom improvement. Follow-up CT scans showed complete occlusion of the AVM without recurrence in ten of the 13 patients. There was one minor adverse event: a small retroperitoneal hemorrhage, likely related to direct puncture, which resolved spontaneously. No other adverse events were observed.</p><p><strong>Conclusion: </strong>Coil embolization of the draining vein segment, without the use of additional liquid embolic agents is a safe and effective method for managing Type IIa pelvic AVM.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 3","pages":"239-245"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865896/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143502066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Postgraduate Training Program for MD Radiology in Sri Lanka: An Overview.","authors":"Harsha Dissanayake","doi":"10.3348/kjr.2024.1269","DOIUrl":"10.3348/kjr.2024.1269","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 3","pages":"207-209"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865898/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143502061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovation and Optimization of Contrast Media Administration in Computed Tomography.","authors":"Damiano Caruso","doi":"10.3348/kjr.2024.1159","DOIUrl":"10.3348/kjr.2024.1159","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 3","pages":"210-212"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865897/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143502057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Endoscopic Ultrasound-Guided Fine-Needle Aspiration for Pancreatic Cysts >2.5 cm Without Worrisome Features or High-Risk Stigmata.","authors":"Anthony Benjamín Ayala Inga","doi":"10.3348/kjr.2024.1301","DOIUrl":"10.3348/kjr.2024.1301","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 3","pages":"281-282"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865905/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143502053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnosing Complete Response to Preoperative Chemoradiation in Esophageal Cancer Using Dynamic Contrast-Enhanced MRI Response Criteria.","authors":"Yura Ahn, Jooae Choe, Hyun Joo Lee, Sook Ryun Park, Jong-Hoon Kim, Ho June Song, Min-Ju Kim, Yong-Hee Kim","doi":"10.3348/kjr.2024.0896","DOIUrl":"10.3348/kjr.2024.0896","url":null,"abstract":"<p><strong>Objective: </strong>To assess the performance of novel qualitative diagnostic criteria using dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) to identify the pathologic complete response (pCR) of primary tumors in esophageal cancer after neoadjuvant chemoradiation (nCRT).</p><p><strong>Materials and methods: </strong>Patients who underwent nCRT, subsequent MRI, positron emission tomography/computed tomography (PET/CT), endoscopy, or esophagectomy for esophageal cancer between October 2021 and October 2023 were retrospectively analyzed. The DCE-MRI response of primary tumors was interpreted using five grades by thoracic radiologists as follows: G1 (compatible with CR), G2 (probable CR), G3 (probable partial response [PR]), G4 (compatible with PR), and G5 (stable or progressive disease). The performances of MRI, PET/CT, endoscopy, and their combinations in diagnosing pCR in primary tumors were calculated.</p><p><strong>Results: </strong>A total of 52 patients (male:female, 46:6; age, 61.2 ± 8.0 years) were included. Surgical specimens revealed pCR (ypT0) in 34 patients. G1 as the MRI criterion for pCR of primary tumors yielded a positive predictive value (PPV), specificity of 100% (18/18), and low sensitivity (23.5% [8/34]). Combining G1 and G2 as the MRI criteria increased the sensitivity to 73.5% (25/34), with a specificity of 88.9% (16/18), accuracy of 78.8% (41/52), and PPV of 92.6% (25/27). Adding the DCE-MRI results (G1-2) significantly improved accuracy for both PET/CT (from 65.4% [34/52] to 80.8% [42/52], <i>P</i> = 0.03) and endoscopy (from 55.8% [29/52] to 76.9% [40/52], <i>P</i> = 0.005), with increase in sensitivity (from 55.9% [19/34] to 82.4% [28/34] for PET/CT-based evaluation [<i>P</i> = 0.008] and from 47.1% [16/34] to 82.4% [28/34] for endoscopy-based evaluation [<i>P</i> = 0.001]).</p><p><strong>Conclusion: </strong>DCE-MRI-based grading shows high diagnostic performance for identifying pCR in primary tumors, particularly in terms of PPV and specificity, and enhances response evaluation when combined with PET/CT and endoscopy.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 3","pages":"269-280"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143502050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Training of Radiology Residents in Taiwan.","authors":"Shu Huei Shen, Hong Jen Chiou","doi":"10.3348/kjr.2024.1253","DOIUrl":"10.3348/kjr.2024.1253","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 3","pages":"205-206"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865895/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143502070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis.","authors":"Kyung Eun Lee, Sung Eun Song, Kyu Ran Cho, Min Sun Bae, Bo Kyoung Seo, Soo-Yeon Kim, Ok Hee Woo","doi":"10.3348/kjr.2024.0664","DOIUrl":"10.3348/kjr.2024.0664","url":null,"abstract":"<p><strong>Objective: </strong>To test the performance of an artificial intelligence-based computer-aided diagnosis (AI-CAD) designed for full-field digital mammography (FFDM) when applied to synthetic mammography (SM).</p><p><strong>Materials and methods: </strong>We analyzed 501 women (mean age, 57 ± 11 years) who underwent preoperative mammography and breast cancer surgery. This cohort consisted of 1002 breasts, comprising 517 with cancer and 485 without. All patients underwent digital breast tomosynthesis (DBT) and FFDM during the preoperative workup. The SM is routinely reconstructed using DBT. Commercial AI-CAD (Lunit Insight MMG, version 1.1.7.2) was retrospectively applied to SM and FFDM to calculate the abnormality scores for each breast. The median abnormality scores were compared for the 517 breasts with cancer using the Wilcoxon signed-rank test. Calibration curves of abnormality scores were evaluated. The discrimination performance was analyzed using the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity using a 10% preset threshold. Sensitivity and specificity were further analyzed according to the mammographic and pathological characteristics. The results of SM and FFDM were compared.</p><p><strong>Results: </strong>AI-CAD demonstrated a significantly lower median abnormality score (71% vs. 96%, <i>P</i> < 0.001) and poorer calibration performance for SM than for FFDM. SM exhibited lower sensitivity (76.2% vs. 82.8%, <i>P</i> < 0.001), higher specificity (95.5% vs. 91.8%, <i>P</i> < 0.001), and comparable AUC (0.86 vs. 0.87, <i>P</i> = 0.127) than FFDM. SM showed lower sensitivity than FFDM in asymptomatic breasts, dense breasts, ductal carcinoma in situ, T1, N0, and hormone receptor-positive/human epidermal growth factor receptor 2-negative cancers but showed higher specificity in non-cancerous dense breasts.</p><p><strong>Conclusion: </strong>AI-CAD showed lower abnormality scores and reduced calibration performance for SM than for FFDM. Furthermore, the 10% preset threshold resulted in different discrimination performances for the SM. Given these limitations, off-label application of the current AI-CAD to SM should be avoided.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"26 3","pages":"217-229"},"PeriodicalIF":4.4,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11865904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143502060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}