Journal of the Korean Society of Radiology最新文献_第10页

Sarcoidosis with a Necrotizing Sarcoid Granulomatosis Pattern Presenting as Persistent Low-Grade Fever: A Case Report. 肉样瘤病伴坏死性肉样瘤肉芽肿病模式，表现为持续低热：病例报告。

Journal of the Korean Society of Radiology Pub Date : 2024-09-01 Epub Date: 2024-09-25 DOI: 10.3348/jksr.2024.0007

Se Ri Kang, Keum Ha Choi, Ji Young Rho

{"title":"Sarcoidosis with a Necrotizing Sarcoid Granulomatosis Pattern Presenting as Persistent Low-Grade Fever: A Case Report.","authors":"Se Ri Kang, Keum Ha Choi, Ji Young Rho","doi":"10.3348/jksr.2024.0007","DOIUrl":"https://doi.org/10.3348/jksr.2024.0007","url":null,"abstract":"Necrotizing sarcoid granulomatosis (NSG), now referred to as \"sarcoidosis with NSG pattern,\" is an uncommon variant of sarcoidosis. NSG is characterized by a trio of features: sarcoid granulomas, vasculitis, and extensive areas of necrosis. Symptoms can include cough, fever, chest pain, and dyspnea, typically presenting as either solitary or multiple lung nodules or masses. In this report, we describe a case of NSG accompanied by a persistent low-grade fever. Unlike the dominant presentation of NSG with single or multiple nodules, our case demonstrated diffuse micronodules with combined perilymphatic and random distribution on CT. Histological examination revealed widespread necrotizing granulomas surrounded by anthracotic pigmentation, alongside necrosis and vasculitis, diverging from the classic presentation of sarcoidosis. The diagnosis of NSG was established through a multidisciplinary discussion. The patient was administered oral prednisolone that led to noticeable clinical and radiological improvement within three months.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"85 5","pages":"948-953"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11473985/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142485156","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

[Explainable & Safe Artificial Intelligence in Radiology]. [放射学中可解释且安全的人工智能]。

Journal of the Korean Society of Radiology Pub Date : 2024-09-01 Epub Date: 2024-09-27 DOI: 10.3348/jksr.2024.0118

Synho Do

引用次数: 0

Unusual Imaging Findings of Epithelioid Hemangioma: Case Report of Single Intramedullary Sclerotic Bone Lesion. 上皮样血管瘤的异常影像学发现：单发髓内硬化性骨病变病例报告

Journal of the Korean Society of Radiology Pub Date : 2024-09-01 Epub Date: 2024-09-25 DOI: 10.3348/jksr.2024.0033

Yun Chul Hwang, Tae Eun Kim, Jae Hyuck Yi

引用次数: 0

[Preface for Special Issue on Explainable/Reliable Artificial Intelligence, and Generative Artificial Intelligence with Large Language Model for Radiologist]. [为 "可解释/可靠的人工智能特刊 "和 "为放射科医生提供大语言模型的生成人工智能 "作序]。

Journal of the Korean Society of Radiology Pub Date : 2024-09-01 Epub Date: 2024-09-27 DOI: 10.3348/jksr.2024.0123

Dae Chul Jung

引用次数: 0

Orbital Involvement in Kimura's Disease Presenting as Diffuse Bilateral Extraocular Muscle Enlargement: A Case Report. 表现为弥漫性双侧眼外肌肥大的木村氏病眼眶受累：病例报告。

Journal of the Korean Society of Radiology Pub Date : 2024-09-01 Epub Date: 2024-09-25 DOI: 10.3348/jksr.2023.0153

Kyeong Jin Lee, Ha Young Lee, Suk Jin Choi, Myung Kwan Lim, Young Hye Kang

引用次数: 0

Radiographic Analysis of Scoliosis Using Convolutional Neural Network in Clinical Practice. 在临床实践中使用卷积神经网络对脊柱侧凸进行放射学分析

Journal of the Korean Society of Radiology Pub Date : 2024-09-01 Epub Date: 2024-04-29 DOI: 10.3348/jksr.2023.0111

Ha Yun Oh, Tae Kun Kim, Yun Sun Choi, Mira Park, Ra Gyoung Yoon, Jin Kyung An

{"title":"Radiographic Analysis of Scoliosis Using Convolutional Neural Network in Clinical Practice.","authors":"Ha Yun Oh, Tae Kun Kim, Yun Sun Choi, Mira Park, Ra Gyoung Yoon, Jin Kyung An","doi":"10.3348/jksr.2023.0111","DOIUrl":"https://doi.org/10.3348/jksr.2023.0111","url":null,"abstract":"Purpose: To assess the reliability and accuracy of an automated Cobb angle measurement (ACAM) using a convolutional neural network (CNN) for scoliosis evaluation and to compare measurement times.Materials and methods: ACAM was applied to spine radiographs in 411 patients suspected of scoliosis. Observer 1 (consensus of two musculoskeletal radiologists) and observer 2 (a radiology resident) measured Cobb angle (CA). CA measurements were categorized using observer 1's measurements as the reference standard. Inter-observer reliability and correlation were assessed using intraclass correlation coefficient (ICC) and Spearman's rank correlation coefficient, respectively. Accuracy and measurement time of ACAM and observers were evaluated.Results: ACAM demonstrated excellent reliability and very high correlation with observer 1 (ICC = 0.976, Spearman's rank correlation = 0.948), with a mean CA difference of 1.1. Overall accuracy was high (88.2%), particularly in mild (92.2%) and moderate (96%) scoliosis. Accuracy was lower in spinal asymmetry (77.1%) and higher in severe scoliosis (95%), although the CA was lower compared to the observers. ACAM significantly reduced measurement time by nearly half compared to the observers (p < 0.001).Conclusion: ACAM using CNN enhances CA measurement for assessing mild or moderate scoliosis, despite limitations in spinal asymmetry or severe scoliosis. Nonetheless, it substantially decreases measurement time.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"85 5","pages":"926-936"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11473978/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142485155","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

Brain Lesions in Liver Cirrhosis May Not Only Be Due to Hepatic Encephalopathy. 肝硬化脑损伤可能不仅仅是肝性脑病所致

Journal of the Korean Society of Radiology Pub Date : 2024-07-01 Epub Date: 2024-07-30 DOI: 10.3348/jksr.2024.0072

Josef Finsterer

引用次数: 0

Caplan Syndrome Mimicking Progressive Massive Fibrosis on CT: A Case Report. 在 CT 上模仿进行性大块纤维化的卡普兰综合征：病例报告。

Journal of the Korean Society of Radiology Pub Date : 2024-07-01 Epub Date: 2024-07-30 DOI: 10.3348/jksr.2023.0128

Jinwook Baek, Ji-Yeon Han

引用次数: 0

[Using Artificial Intelligence Software for Diagnosing Emphysema and Interstitial Lung Disease]. [使用人工智能软件诊断肺气肿和间质性肺病]。

Journal of the Korean Society of Radiology Pub Date : 2024-07-01 Epub Date: 2024-07-30 DOI: 10.3348/jksr.2024.0050

Sang Hyun Paik, Gong Yong Jin

{"title":"[Using Artificial Intelligence Software for Diagnosing Emphysema and Interstitial Lung Disease].","authors":"Sang Hyun Paik, Gong Yong Jin","doi":"10.3348/jksr.2024.0050","DOIUrl":"10.3348/jksr.2024.0050","url":null,"abstract":"Researchers have developed various algorithms utilizing artificial intelligence (AI) to automatically and objectively diagnose patterns and extent of pulmonary emphysema or interstitial lung diseases on chest CT scans. Studies show that AI-based quantification of emphysema on chest CT scans reveals a connection between an increase in the relative percentage of emphysema and a decline in lung function. Notably, quantifying centrilobular emphysema has proven helpful in predicting clinical symptoms or mortality rates of chronic obstructive pulmonary disease. In the context of interstitial lung diseases, AI can classify the usual interstitial pneumonia pattern on CT scans into categories like normal, ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation. This classification accuracy is comparable to chest radiologists (70%-80%). However, the results generated by AI are influenced by factors such as scan parameters, reconstruction algorithms, radiation doses, and the training data used to develop the AI. These limitations currently restrict the widespread adoption of AI for quantifying pulmonary emphysema and interstitial lung diseases in daily clinical practice. This paper will showcase the authors' experience using AI for diagnosing and quantifying emphysema and interstitial lung diseases through case studies. We will primarily focus on the advantages and limitations of AI for these two diseases.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"85 4","pages":"714-726"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11310433/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918514","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

Clinical and MR Predictors of Retro-Odontoid Pseudotumor Regression Following Posterior Fixation in Patients with Atlantoaxial Instability. 寰枢椎不稳患者后固定术后寰枢椎后假瘤消退的临床和磁共振预测因素

Journal of the Korean Society of Radiology Pub Date : 2024-07-01 Epub Date: 2023-12-26 DOI: 10.3348/jksr.2023.0104

Jisu Kim, Youngjune Kim, Eugene Lee, Joon Woo Lee

{"title":"Clinical and MR Predictors of Retro-Odontoid Pseudotumor Regression Following Posterior Fixation in Patients with Atlantoaxial Instability.","authors":"Jisu Kim, Youngjune Kim, Eugene Lee, Joon Woo Lee","doi":"10.3348/jksr.2023.0104","DOIUrl":"10.3348/jksr.2023.0104","url":null,"abstract":"Purpose: To identify clinical and MR predictors of retro-odontoid pseudotumor (ROP) regression after posterior fixation in patients with atlantoaxial instability.Materials and methods: We included patients who had undergone posterior fixation for atlantoaxial instability and preoperative and postoperative MR imaging. Patients were classified into two groups according to the degree of ROP regression after posterior fixation: regression (≥ 10% reduction) and no regression (< 10% reduction). Mann-Whitney and Fisher's exact tests were performed to identify the clinical (age and sex) and MR predictors (preoperative ROP thickness, ROP type, MR signal homogeneity of the ROP, spinal cord signal change, spinal cord atrophy, ossified posterior longitudinal ligament, os odontoideum, and atlantodental interval) associated with ROP regression.Results: We retrospectively assessed 11 consecutive patients (7 female; median age, 66 years [range, 31-84 years]). Posterior fixation induced ROP regression in eight (72.7%) patients. Older age and greater preoperative ROP thickness significantly correlated with ROP regression (p = 0.024 and 0.012, respectively). All patients with preoperative ROP thickness > 5 mm exhibited ROP regression. The other variables were not significantly associated with ROP regression.Conclusion: Older age and thicker preoperative ROP are associated with ROP regression after posterior fixation in patients with atlantoaxial instability.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"85 4","pages":"754-768"},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11310437/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918518","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