Japanese Journal of Radiology最新文献

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Usefulness of four-dimensional noise reduction filtering using a similarity algorithm in low-dose dynamic computed tomography for the evaluation of breast cancer: a preliminary study.
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-24 DOI: 10.1007/s11604-024-01730-0
Daichi Uraoka, Megumi Matsuda, Yuki Tanabe, Naoto Kawaguchi, Chihiro Nishiyama, Ayaka Okada, Koichiro Uda, Hiroshi Suekuni, Hikaru Nishiyama, Yoshiaki Kamei, Mie Kurata, Riko Kitazawa, Shota Nakano, Teruhito Kido
{"title":"Usefulness of four-dimensional noise reduction filtering using a similarity algorithm in low-dose dynamic computed tomography for the evaluation of breast cancer: a preliminary study.","authors":"Daichi Uraoka, Megumi Matsuda, Yuki Tanabe, Naoto Kawaguchi, Chihiro Nishiyama, Ayaka Okada, Koichiro Uda, Hiroshi Suekuni, Hikaru Nishiyama, Yoshiaki Kamei, Mie Kurata, Riko Kitazawa, Shota Nakano, Teruhito Kido","doi":"10.1007/s11604-024-01730-0","DOIUrl":"https://doi.org/10.1007/s11604-024-01730-0","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the effects of four-dimensional noise reduction filtering using a similarity algorithm (4D-SF) on the image quality and tumor visibility of low-dose dynamic computed tomography (CT) in evaluating breast cancer.</p><p><strong>Materials and methods: </strong>Thirty-four patients with 38 lesions who underwent low-dose dynamic breast CT and were pathologically diagnosed with breast cancer were enrolled. Dynamic CT images were reconstructed using iterative reconstruction alone or in combination with 4D-SF. We selected the peak enhancement phase image of breast cancer for each patient for quantitative and qualitative evaluations of image quality and measurement of the maximum diameter of breast cancer. The signal-to-noise and contrast-to-noise ratios were calculated for quantitative evaluation. The maximum diameters of the breast cancer were measured from the images obtained with and without 4D-SF (4D-SF ±) (size-4D-SF + and size-4D-SF-) and for the pathological specimen (size-PS) and compared.</p><p><strong>Results: </strong>The median and interquartile ranges of the signal-to-noise ratio [4D-SF-: 3.03 (2.54-4.17) vs 4D-SF + : 5.52 (4.75-6.66)] and contrast-to-noise ratio [4D-SF-: 2.88 (2.00-3.60) vs 4D-SF + : 7.84 (4.65-10.35)] were significantly higher for 4D-SF + than for 4D-SF- (p < 0.001). The overall image quality (Observer 1, p < 0.001; Observer 2, p < 0.001) and tumor margin sharpness scores (Observer 1, p = 0.003; Observer 2, p < 0.001) were significantly higher for 4D-SF + than for 4D-SF-. The tumor contrast scores for 4D-SF + and 4D-SF- were not significantly different (Observers 1, 2; p = 0.083). Size-4D-SF- was significantly smaller than size-PS (p < 0.001); size-4D-SF + was also smaller than size-PS, but the difference was not significant (p = 0.088). The Spearman's rank correlation coefficient was 0.65 for size-PS and size-4D-SF- and 0.77 for size-PS and size-4D-SF + .</p><p><strong>Conclusion: </strong>The 4D-SF can improve the image quality and tumor visibility of low-dose dynamic CT in evaluating breast cancer extent due to noise reduction.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Magnetic resonance imaging safety in Asia-Oceania: call for action. 亚洲-大洋洲磁共振成像安全:行动呼吁。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-18 DOI: 10.1007/s11604-024-01729-7
Rijo Mathew Choorakuttil, Elaine Yee Ling Kan, James Thomas Patrick Decourcy Hallinan, Tamara Razon Cuenza, Evelyn Lai Ming Ho, Rawnak Afrin, Nucharin Supakul, Noriyuki Tomiyama, Chamaree Chupetcharasopon, Danny Hing Yan Cho, Kwan Hoong Ng
{"title":"Magnetic resonance imaging safety in Asia-Oceania: call for action.","authors":"Rijo Mathew Choorakuttil, Elaine Yee Ling Kan, James Thomas Patrick Decourcy Hallinan, Tamara Razon Cuenza, Evelyn Lai Ming Ho, Rawnak Afrin, Nucharin Supakul, Noriyuki Tomiyama, Chamaree Chupetcharasopon, Danny Hing Yan Cho, Kwan Hoong Ng","doi":"10.1007/s11604-024-01729-7","DOIUrl":"https://doi.org/10.1007/s11604-024-01729-7","url":null,"abstract":"<p><p>Magnetic Resonance Imaging (MRI) safety is a critical concern in the Asia-Oceania region, as it is elsewhere in the world, due to the unique and complex MRI environment that demands attention. This call-for-action outlines ten critical steps to enhance MRI safety and promote a culture of responsibility and accountability in the Asia-Oceania region. Key focus areas include strengthening education and expertise, improving quality assurance, fostering collaboration, increasing public awareness, and establishing national safety boards. By implementing these actions, we aim to significantly reduce MRI-related incidents and create a culture of safety across diverse healthcare settings in the Asia-Oceania Region.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143005652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Clinical and radiological features of gastric and small intestinal anisakiasis: comparison with gastric ulcers and crohn's disease. 胃小肠异根线虫病的临床和影像学特征:与胃溃疡和克罗恩病的比较。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-16 DOI: 10.1007/s11604-024-01731-z
Kengo Ikejima, Daisuke Yamada, Natsuka Muraishi, Yasuyuki Kurihara
{"title":"Clinical and radiological features of gastric and small intestinal anisakiasis: comparison with gastric ulcers and crohn's disease.","authors":"Kengo Ikejima, Daisuke Yamada, Natsuka Muraishi, Yasuyuki Kurihara","doi":"10.1007/s11604-024-01731-z","DOIUrl":"https://doi.org/10.1007/s11604-024-01731-z","url":null,"abstract":"<p><strong>Purpose: </strong>To compare the clinical and radiological features of gastric and small intestinal anisakiasis with those of gastric ulcers and Crohn's disease.</p><p><strong>Materials and methods: </strong>In this retrospective cohort study, 205 cases of anisakiasis (148 gastric; 53 small intestinal) were identified between July 2003 and February 2022. The control groups included 130 and 31 patients with gastric ulcers and Crohn's disease, respectively. Clinical and imaging findings were compared between the groups using the chi-square test, Fisher's exact test, Mann-Whitney U test, and t-test.</p><p><strong>Results: </strong>Patients with gastric anisakiasis were younger (median age, 40 [21-85] years; 87 men) than those with gastric ulcers (median age, 64.5 [29-90] years; 101 men). Abdominal pain was common in the gastric anisakiasis group, whereas bleeding symptoms were frequent in the gastric ulcer group. Patients with small intestinal anisakiasis were older (mean age, 51.2 [38.6-63.7] years; 44 men) than those with Crohn's disease (mean age, 35.9 [21.6-50.3] years; 22 men). Patients with gastric anisakiasis exhibited more edematous wall thickening, increased surrounding fat density, ascites, and thickening of other intestinal walls than those with gastric ulcers. Patients with small intestinal anisakiasis showed greater wall edema, perienteric fat stranding, proximal dilatation, clamp sign, and ascites than those with Crohn's disease. Interobserver agreement was moderate to excellent, except for esophageal findings.</p><p><strong>Conclusion: </strong>Anisakiasis demonstrates clinical and radiological features distinct from those of gastric ulcers and Crohn's disease. Recognizing these differences may aid in the differential diagnosis of gastrointestinal disorders, particularly in regions with high levels of raw fish consumption. This retrospective study compared CT findings of gastric and small intestinal anisakiasis with gastric ulcers and Crohn's disease. Anisakiasis exhibited distinct features, including edematous wall thickening, increased surrounding fat density, and ascites. These findings can aid in differential diagnosis, particularly in regions where raw fish consumption is common.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143005651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recent trends in scientific research in chest radiology: What to do or not to do? That is the critical question in research. 胸部放射学科学研究的最新趋势:该做什么,不该做什么?这是研究中的关键问题。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-16 DOI: 10.1007/s11604-025-01735-3
Hiroto Hatabu, Masahiro Yanagawa, Yoshitake Yamada, Takuya Hino, Yuzo Yamasaki, Akinori Hata, Daiju Ueda, Yusei Nakamura, Yoshiyuki Ozawa, Masahiro Jinzaki, Yoshiharu Ohno
{"title":"Recent trends in scientific research in chest radiology: What to do or not to do? That is the critical question in research.","authors":"Hiroto Hatabu, Masahiro Yanagawa, Yoshitake Yamada, Takuya Hino, Yuzo Yamasaki, Akinori Hata, Daiju Ueda, Yusei Nakamura, Yoshiyuki Ozawa, Masahiro Jinzaki, Yoshiharu Ohno","doi":"10.1007/s11604-025-01735-3","DOIUrl":"https://doi.org/10.1007/s11604-025-01735-3","url":null,"abstract":"<p><p>Hereby inviting young rising stars in chest radiology in Japan for contributing what they are working currently, we would like to show the potentials and directions of the near future research trends in the research field. I will provide a reflection on my own research topics. At the end, we also would like to discuss on how to choose the themes and topics of research: What to do or not to do? We strongly believe it will stimulate and help investigators in the field.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143005682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI image analysis as the basis for risk-stratified screening. 人工智能图像分析作为风险分层筛查的基础。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-11 DOI: 10.1007/s11604-025-01734-4
Fredrik Strand
{"title":"AI image analysis as the basis for risk-stratified screening.","authors":"Fredrik Strand","doi":"10.1007/s11604-025-01734-4","DOIUrl":"https://doi.org/10.1007/s11604-025-01734-4","url":null,"abstract":"<p><p>Artificial intelligence (AI) has emerged as a transformative tool in breast cancer screening, with two distinct applications: computer-aided cancer detection (CAD) and risk prediction. While AI CAD systems are slowly finding its way into clinical practice to assist radiologists or make independent reads, this review focuses on AI risk models, which aim to predict a patient's likelihood of being diagnosed with breast cancer within a few years after negative screening. Unlike AI CAD systems, AI risk models are mainly explored in research settings without widespread clinical adoption. This review synthesizes advances in AI-driven risk prediction models, from traditional imaging biomarkers to cutting-edge deep learning methodologies and multimodal approaches. Contributions by leading researchers are explored with critical appraisal of their methods and findings. Ethical, practical, and clinical challenges in implementing AI models are also discussed, with an emphasis on real-world applications. This review concludes by proposing future directions to optimize the adoption of AI tools in breast cancer screening and improve equity and outcomes for diverse populations.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generation of high-resolution MPRAGE-like images from 3D head MRI localizer (AutoAlign Head) images using a deep learning-based model. 使用基于深度学习的模型,从3D头部MRI定位器(AutoAlign head)图像生成类似mprage的高分辨率图像。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-11 DOI: 10.1007/s11604-024-01728-8
Hiroshi Tagawa, Yasutaka Fushimi, Koji Fujimoto, Satoshi Nakajima, Sachi Okuchi, Akihiko Sakata, Sayo Otani, Krishna Pandu Wicaksono, Yang Wang, Satoshi Ikeda, Shuichi Ito, Masaki Umehana, Akihiro Shimotake, Akira Kuzuya, Yuji Nakamoto
{"title":"Generation of high-resolution MPRAGE-like images from 3D head MRI localizer (AutoAlign Head) images using a deep learning-based model.","authors":"Hiroshi Tagawa, Yasutaka Fushimi, Koji Fujimoto, Satoshi Nakajima, Sachi Okuchi, Akihiko Sakata, Sayo Otani, Krishna Pandu Wicaksono, Yang Wang, Satoshi Ikeda, Shuichi Ito, Masaki Umehana, Akihiro Shimotake, Akira Kuzuya, Yuji Nakamoto","doi":"10.1007/s11604-024-01728-8","DOIUrl":"https://doi.org/10.1007/s11604-024-01728-8","url":null,"abstract":"<p><strong>Purpose: </strong>Magnetization prepared rapid gradient echo (MPRAGE) is a useful three-dimensional (3D) T1-weighted sequence, but is not a priority in routine brain examinations. We hypothesized that converting 3D MRI localizer (AutoAlign Head) images to MPRAGE-like images with deep learning (DL) would be beneficial for diagnosing and researching dementia and neurodegenerative diseases. We aimed to establish and evaluate a DL-based model for generating MPRAGE-like images from MRI localizers.</p><p><strong>Materials and methods: </strong>Brain MRI examinations including MPRAGE taken at a single institution for investigation of mild cognitive impairment, dementia and epilepsy between January 2020 and December 2022 were included retrospectively. Images taken in 2020 or 2021 were assigned to training and validation datasets, and images from 2022 were used for the test dataset. Using the training and validation set, we determined one model using visual evaluation by radiologists with reference to image quality metrics of peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and Learned Perceptual Image Patch Similarity (LPIPS). The test dataset was evaluated by visual assessment and quality metrics. Voxel-based morphometric analysis was also performed, and we evaluated Dice score and volume differences between generated and original images of major structures were calculated as absolute symmetrized percent change.</p><p><strong>Results: </strong>Training, validation, and test datasets comprised 340 patients (mean age, 56.1 ± 24.4 years; 195 women), 36 patients (67.3 ± 18.3 years, 20 women), and 193 patients (59.5 ± 24.4 years; 111 women), respectively. The test dataset showed: PSNR, 35.4 ± 4.91; SSIM, 0.871 ± 0.058; and LPIPS 0.045 ± 0.017. No overfitting was observed. Dice scores for the segmentation of main structures ranged from 0.788 (left amygdala) to 0.926 (left ventricle). Quadratic weighted Cohen kappa values of visual score for medial temporal lobe between original and generated images were 0.80-0.88.</p><p><strong>Conclusion: </strong>Images generated using our DL-based model can be used for post-processing and visual evaluation of medial temporal lobe atrophy.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advances in multimodal imaging for adrenal gland disorders: integrating CT, MRI, and nuclear medicine. 肾上腺疾病的多模态成像研究进展:整合CT、MRI和核医学。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-11 DOI: 10.1007/s11604-025-01732-6
Kota Yokoyama, Mitsuru Matsuki, Takanori Isozaki, Kimiteru Ito, Tomoki Imokawa, Akane Ozawa, Koichiro Kimura, Junichi Tsuchiya, Ukihide Tateishi
{"title":"Advances in multimodal imaging for adrenal gland disorders: integrating CT, MRI, and nuclear medicine.","authors":"Kota Yokoyama, Mitsuru Matsuki, Takanori Isozaki, Kimiteru Ito, Tomoki Imokawa, Akane Ozawa, Koichiro Kimura, Junichi Tsuchiya, Ukihide Tateishi","doi":"10.1007/s11604-025-01732-6","DOIUrl":"https://doi.org/10.1007/s11604-025-01732-6","url":null,"abstract":"<p><p>Adrenal diseases pose significant diagnostic challenges due to the wide range of neoplastic and non-neoplastic pathologies. Radiologists have a crucial role in diagnosing and managing these conditions by, leveraging advanced imaging techniques. This review discusses the vital role of computed tomography (CT), magnetic resonance imaging (MRI), and nuclear medicine in adrenal imaging, and focuses on morphological and functional evaluations. First, the anatomy and physiology of the adrenal glands are described, followed by a discussion on ectopic adrenocortical adenomas and how they develop. The concepts and imaging findings of congenital diseases, such as congenital adrenal hyperplasia (CAH), adrenal rest tumors, and adrenocortical nodular disease, considering recent updates to the WHO Classification of Tumours (5th ed.) terminology are highlighted. The diagnostic value of dynamic contrast-enhanced CT and chemical-shift MRI for identifying adrenocortical adenomas are emphasized, alongside the use of adrenocortical scintigraphy such as <sup>131</sup>I-adosterol scintigraphy for diagnosing Cushing's disease, Cushing's syndrome (CS), subclinical CS, and ectopic adrenocorticotropic hormone-producing tumors. Systemic complications associated with CS, and the diagnosis and treatment of pheochromocytomas, paragangliomas (PPGLs), and neuroblastomas, will also be discussed focusing on <sup>123</sup>I-metaiodobenzylguanidine (MIBG) imaging and <sup>131</sup>I-MIBG therapy. Pitfalls in <sup>123</sup>I-MIBG imaging and the increasing importance of diagnosing hereditary PPGLs due to increased genetic testing are also be discussed. Additionally, the broad differential diagnosis for adrenal masses-including malignancies like adrenal carcinoma, metastases, and malignant lymphoma, as well as benign conditions like myelolipoma and ganglioneuroma, and complications, such as adrenal hemorrhage, infarction, and infections-will be outlined. The goal of this review was to provide an overview of adrenal diseases that includes the most recent information for radiologists to stay updated on the latest imaging techniques and advancements that can ensure accurate diagnosis and effective management.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ultrasound radiomics predict the success of US-guided percutaneous irrigation for shoulder calcific tendinopathy. 超声放射组学预测超声引导下经皮冲洗治疗肩部钙化肌腱病的成功。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-03 DOI: 10.1007/s11604-024-01725-x
Matthaios Triantafyllou, Evangelia E Vassalou, Michail E Klontzas, Theodoros H Tosounidis, Kostas Marias, Apostolos H Karantanas
{"title":"Ultrasound radiomics predict the success of US-guided percutaneous irrigation for shoulder calcific tendinopathy.","authors":"Matthaios Triantafyllou, Evangelia E Vassalou, Michail E Klontzas, Theodoros H Tosounidis, Kostas Marias, Apostolos H Karantanas","doi":"10.1007/s11604-024-01725-x","DOIUrl":"https://doi.org/10.1007/s11604-024-01725-x","url":null,"abstract":"<p><strong>Objective: </strong>Calcific tendinopathy, predominantly affecting rotator cuff tendons, leads to significant pain and tendon degeneration. Although US-guided percutaneous irrigation (US-PICT) is an effective treatment for this condition, prediction of patient' s response and long-term outcomes remains a challenge. This study introduces a novel radiomics-based model to forecast patient outcomes, addressing a gap in the current predictive methodologies.</p><p><strong>Materials and methods: </strong>The study involved 84 patients who underwent US-PICT, with data collected on clinical and demographic factors, alongside radiomic features extracted from ultrasound images. Key radiomic features predictive of the outcome were discerned through Least Absolute Shrinkage and Selection Operator (LASSO) method. Machine Learning models, including Random Forest, XGBoost, and Support Vector Machines, were employed to analyze the radiomics, the clinical and the combined dataset, focusing on calcium removal extent. An external testing was conducted using an independent cohort from a different institution to assess the model's generalizability. Metrics were calculated for the best-performing models, namely area under the curve (AUC) score, sensitivity, specificity, precision or positive predictive value, and negative predictive value.</p><p><strong>Results: </strong>The selected features were merged with clinical data, notably the calcification's maximum diameter. This enriched dataset was fed into classification models. The superior model achieved an AUC of 0.88 (95% CI 0.73-0.99), with a positive predictive value of 0.92 and a sensitivity of 0.90. In external testing, the combined model achieved an AUC of 0.78. SHAP analysis was employed to highlight the impact of the selected features on the optimal model's effectiveness.</p><p><strong>Conclusion: </strong>The developed radiomics model offers a promising tool for predicting outcomes of US-PICT, potentially guiding clinical decision-making.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142921770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The influence of revised ordinance on radiation protection management in Japanese hospitals: device deployment and involvement of radiology technologists. 修订条例对日本医院辐射防护管理的影响:设备部署和放射技术人员的参与。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-01 Epub Date: 2024-09-28 DOI: 10.1007/s11604-024-01653-w
Arman Nessipkhan, Naoki Matsuda, Noboru Takamura, Noboru Oriuchi, Hiroshi Ito, Kazuo Awai, Takashi Kudo
{"title":"The influence of revised ordinance on radiation protection management in Japanese hospitals: device deployment and involvement of radiology technologists.","authors":"Arman Nessipkhan, Naoki Matsuda, Noboru Takamura, Noboru Oriuchi, Hiroshi Ito, Kazuo Awai, Takashi Kudo","doi":"10.1007/s11604-024-01653-w","DOIUrl":"10.1007/s11604-024-01653-w","url":null,"abstract":"<p><strong>Purpose: </strong>This study evaluates the impact of the 2021 revision of Japan's Ordinance on the Prevention of Ionizing Radiation Hazards on radiation protection practices, focusing on the deployment of radiation protection devices and the involvement of radiology technologists in Japanese hospitals.</p><p><strong>Methods: </strong>A two-phase web-based questionnaire survey was conducted among hospitals registered as training facilities with the Japanese Radiological Society. The survey included 53 questions covering facility information, radiation worker management, training, and working environment.</p><p><strong>Results: </strong>The use of lens-specific dosimeters significantly increased post-revision (p = 0.005). Protective eyewear availability showed minor improvements, particularly in angiographic rooms (p = 0.019). The involvement of radiology technologists remained high in angiographic rooms but showed no significant changes in endoscopy and fluoroscopy rooms. Larger hospitals exhibited better compliance with protective measures, though gaps in resource allocation persisted.</p><p><strong>Conclusion: </strong>The ordinance revision led to significant improvements in dosimeter usage but only minor changes in protective eyewear deployment and technologist involvement.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"117-128"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142346908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Claude 3.5 Sonnet indicated improved TNM classification on radiology report of pancreatic cancer. Claude 3.5 Sonnet 对胰腺癌放射学报告的 TNM 分类进行了改进。
IF 2.1 4区 医学
Japanese Journal of Radiology Pub Date : 2025-01-01 Epub Date: 2024-10-15 DOI: 10.1007/s11604-024-01681-6
Kazufumi Suzuki
{"title":"Claude 3.5 Sonnet indicated improved TNM classification on radiology report of pancreatic cancer.","authors":"Kazufumi Suzuki","doi":"10.1007/s11604-024-01681-6","DOIUrl":"10.1007/s11604-024-01681-6","url":null,"abstract":"","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"56-57"},"PeriodicalIF":2.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142465748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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