Japanese Journal of Radiology最新文献

{"title":"Effectiveness of education on radiation exposure for medical students prior to clinical clerkship.","authors":"Satoshi Yamauchi, Kaede Kido, Ryosuke Taiji, Tomoko Ochi, Chisa Yoneima, Yuto Chanoki, Keisuke Oshima, Kohei Wakatsuki, Toshihiro Tanaka","doi":"10.1007/s11604-025-01815-4","DOIUrl":"10.1007/s11604-025-01815-4","url":null,"abstract":"<p><strong>Purpose: </strong>The widespread use of radiation in diagnostic imaging, interventional procedures, and radiotherapy requires robust radiation safety education. Despite its importance, medical students in Japan and other countries have limited awareness of radiation protection. In Japan, radiation safety education is essential due to recent legislative changes that position medical students as \"student doctors\" and expand their clinical responsibilities. The purpose of this study was to evaluate the knowledge, concerns, and anxieties of 5th-year medical students regarding radiation exposure before clinical training, and to evaluate the impact of a lecture-style intervention on these parameters.</p><p><strong>Materials and methods: </strong>A 20-min lecture on radiation safety was given to 95 fifth-year students at Nara Medical University immediately before clinical training. The lecture covered the basic concepts of radiation biology, legal regulations, radiation risks, and protective measures. A 25-item questionnaire using a five-point Likert scale was administered before and after the lecture. Exploratory factor analysis was conducted on the data, and mixed-design analysis of variance (ANOVA) was used to evaluate changes in the main factors identified by exploratory factor analysis. Subgroup analysis was also conducted based on gender and the selected clinical department.</p><p><strong>Results: </strong>Exploratory factor analysis identified four main factors: anxiety, interest, knowledge, and management of radiation exposure. After the lecture-based intervention, knowledge and management of radiation exposure scores increased significantly (p < .001), but interest did not change. There was no difference in score by gender.</p><p><strong>Conclusion: </strong>Lecture-based interventions can significantly improve senior medical students' knowledge and management skills regarding radiation safety. However, it was difficult to improve the interest of students who chose departments that were considered to have a low risk of radiation exposure. Our findings indicate the need for further development of educational strategies to improve awareness and education of radiation protection in clinical situations.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340127","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}

{"title":"Emergency radiology: roadmap for radiology departments.","authors":"Sonay Aydin, Bunyamin Ece, Vefa Cakmak, Burak Kocak, Mehmet Ruhi Onur","doi":"10.1007/s11604-025-01819-0","DOIUrl":"10.1007/s11604-025-01819-0","url":null,"abstract":"<p><p>Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing unique challenges including escalating imaging volumes, increasing study complexity, and heightened expectations from clinicians and patients. This review provides a comprehensive overview of the key requirements for an effective emergency radiology unit. Emergency radiologists play a crucial role in real-time decision-making by providing continuous 24/7 support, requiring expertise across various organ systems and close collaboration with emergency physicians and specialists. Beyond image interpretation, emergency radiologists are responsible for organizing staff schedules, planning equipment, determining imaging protocols, and establishing standardized reporting systems. Operational considerations in emergency radiology departments include efficient scheduling models such as circadian-based scheduling, strategic equipment organization with primary imaging modalities positioned near emergency departments, and effective imaging management through structured ordering systems and standardized protocols. Preparedness for mass casualty incidents requires a well-organized workflow process map detailing steps from patient transfer to image acquisition and interpretation, with clear task allocation and imaging pathways. Collaboration between emergency radiologists and physicians is essential, with accurate communication facilitated through various channels and structured reporting templates. Artificial intelligence has emerged as a transformative tool in emergency radiology, offering potential benefits in both interpretative domains (detecting intracranial hemorrhage, pulmonary embolism, acute ischemic stroke) and non-interpretative applications (triage systems, protocol assistance, quality control). Despite implementation challenges including clinician skepticism, financial considerations, and ethical issues, AI can enhance diagnostic accuracy and workflow optimization. Teleradiology provides solutions for staff shortages, particularly during off-hours, with hybrid models allowing radiologists to work both on-site and remotely. This review aims to guide stakeholders in establishing and maintaining efficient emergency radiology services to improve patient outcomes.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144333133","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}

{"title":"Beyond resection: imaging findings of expected and complicated postoperative changes in lung cancer.","authors":"Makiko Murota, Takashi Norikane, Mariko Ishimura, Yuka Yamamoto, Riku Morita, Katsuya Mitamura, Yasukage Takami, Yuri Manabe, Mitsumasa Murao, Katashi Satoh, Naoya Yokota, Yoshihiro Nishiyama","doi":"10.1007/s11604-025-01818-1","DOIUrl":"https://doi.org/10.1007/s11604-025-01818-1","url":null,"abstract":"<p><p>Lung cancer remains the leading cause of cancer-related mortality, with surgical resection as the primary curative treatment for early-stage non-small cell lung cancer. However, distinguishing normal postoperative changes from complications on chest radiographs and CT scans presents a significant diagnostic challenge, necessitating precise radiologic interpretation. Postoperative complications manifest across a broad spectrum of timing and severity. Early complications include persistent air leak, pneumonia, and bronchopleural fistula, while late complications include bronchial anastomotic stricture, lung herniation, and unilateral pleuroparenchymal fibroelastosis. In addition, rare but clinically significant complications, such as lobar torsion, acute exacerbation of interstitial pneumonia, and pulmonary vein stump thrombosis, warrant careful consideration due to their potential for severe morbidity. Accurate identification of expected postoperative imaging findings and complications is essential to ensuring timely diagnosis and preventing unnecessary interventions. This review synthesizes current knowledge on surgical procedures, expected postoperative imaging findings, and key complications to refine radiologists' diagnostic acumen and ultimately improve patient outcomes.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144325743","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}

{"title":"Comparison of publicly available artificial intelligence models for pancreatic segmentation on T1-weighted Dixon images.","authors":"Yuki Sonoda, Shota Fujisawa, Mariko Kurokawa, Wataru Gonoi, Shouhei Hanaoka, Takeharu Yoshikawa, Osamu Abe","doi":"10.1007/s11604-025-01814-5","DOIUrl":"https://doi.org/10.1007/s11604-025-01814-5","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to compare three publicly available deep learning models (TotalSegmentator, TotalVibeSegmentator, and PanSegNet) for automated pancreatic segmentation on magnetic resonance images and to evaluate their performance against human annotations in terms of segmentation accuracy, volumetric measurement, and intrapancreatic fat fraction (IPFF) assessment.</p><p><strong>Materials and methods: </strong>Twenty upper abdominal T1-weighted magnetic resonance series acquired using the two-point Dixon method were randomly selected. Three radiologists manually segmented the pancreas, and a ground-truth mask was constructed through a majority vote per voxel. Pancreatic segmentation was also performed using the three artificial intelligence models. Performance was evaluated using the Dice similarity coefficient (DSC), 95th-percentile Hausdorff distance, average symmetric surface distance, positive predictive value, sensitivity, Bland-Altman plots, and concordance correlation coefficient (CCC) for pancreatic volume and IPFF.</p><p><strong>Results: </strong>PanSegNet achieved the highest DSC (mean ± standard deviation, 0.883 ± 0.095) and showed no statistically significant difference from the human interobserver DSC (0.896 ± 0.068; p = 0.24). In contrast, TotalVibeSegmentator (0.731 ± 0.105) and TotalSegmentator (0.707 ± 0.142) had significantly lower DSC values compared with the human interobserver average (p < 0.001). For pancreatic volume and IPFF, PanSegNet demonstrated the best agreement with the ground truth (CCC values of 0.958 and 0.993, respectively), followed by TotalSegmentator (0.834 and 0.980) and TotalVibeSegmentator (0.720 and 0.672).</p><p><strong>Conclusion: </strong>PanSegNet demonstrated the highest segmentation accuracy and the best agreement with human measurements for both pancreatic volume and IPFF on T1-weighted Dixon images. This model appears to be the most suitable for large-scale studies requiring automated pancreatic segmentation and intrapancreatic fat evaluation.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144325744","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}

{"title":"Altered connectivity among the triple brain networks in patients with mild cognitive impairment: a source-based morphometry study with a large elderly population.","authors":"Chihiro Yotsuya, Keita Watanabe, Sera Kasai, Yoshihito Umemura, Tomohiro Shintaku, Yuka Ishimoto, Miho Sasaki, Haruka Nagaya, Soichiro Tatsuo, Tatsuya Mikami, Yoshinori Tamada, Satoru Ide, Masahiko Tomiyama, Shingo Kakeda","doi":"10.1007/s11604-025-01791-9","DOIUrl":"https://doi.org/10.1007/s11604-025-01791-9","url":null,"abstract":"<p><strong>Purpose: </strong>Previous research indicates brain network alterations in the default mode network (DMN), salience network (SN), and central-executive network (CEN) in individuals with mild cognitive impairment (MCI). However, replication has been inconsistent due to small, varied samples. We aimed to explore intra- and inter-networks alternations among DMN, SN, and CEN in individuals with MCI using multivariate source-based morphometry (SBM) with a larger, population-based sample.</p><p><strong>Materials and methods: </strong>This cross-sectional study included 1,997 participants (median age: 69 years; 61.9% female) who underwent three-dimensional (3D) T1-weighed imaging with 3 T magnetic resonance imaging (MRI). They were classified into 1,236 healthy controls (HC) and 761 individuals with MCI. SBM was used to extract triple brain networks as structural networks, and Z-scores were calculated. Intra-network comparisons of DMN, SN, and CEN between HC and MCI groups were conducted using logistic regression analysis. Inter-network comparisons among the triple brain networks were performed using structural equation modeling (SEM).</p><p><strong>Results: </strong>Connectivity (median Z score) of each network was lower in the MCI group than in the HC group: DMN (0.08 vs. - 0.12), SN (0.08 vs. - 0.23), and CEN (0.07 vs. - 0.06). Logistic regression showed significant association of SN connectivity with MCI (odds ratio 0.862, p < 0.05). SEM analysis revealed a significant group difference in the model where SN mediated input from CEN to DMN.</p><p><strong>Conclusion: </strong>We found altered network patterns in individuals with mild cognitive impairment, suggesting a transformation in network connectivity among DMN, SN, and CEN, particularly compensating for degraded SN connectivity.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144325742","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}

{"title":"Recent advances in drug treatment for prostate cancer.","authors":"Kotaro Suzuki, Naohiro Fujimoto, Masaki Shiota, Satoru Kawakami, Takahiro Kimura, Kohei Hashimoto, Takeo Kosaka, Hideaki Miyake, Hiroji Uemura","doi":"10.1007/s11604-025-01816-3","DOIUrl":"https://doi.org/10.1007/s11604-025-01816-3","url":null,"abstract":"<p><p>With the advent of androgen receptor signaling inhibitors (ARSI), chemotherapy, poly (adenosine diphosphate-ribose) polymerase inhibitor (PARPi), and radioligand therapy targeting prostate-specific membrane antigen (PSMA), survival outcomes in metastatic prostate cancer (PCa) have dramatically improved over the past two decades. In addition, recent advancements in imaging modalities and genomic testing have significantly impacted diagnostic and therapeutic strategies for advanced PCa. However, with increasing drug options and the emergence of new disease concepts for non-metastatic castration-resistant prostate cancer (nmCRPC), treatment strategies for advanced PCa have become more complicated and uncertain. In addition, the emergence of aggressive PCa variants, including treatment-related neuroendocrine PCa (t-NEPC), is another clinical concern in the era of upfront and long-term use of potent ARSIs. The aim of this review is to summarize the latest drug treatment strategies and clinical concerns in the management of advanced PCa in Japan, based on the Japanese Clinical Practice Guidelines for Prostate Cancer published in 2023.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144325745","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}

{"title":"Prognostic value of whole-body diffusion-weighted imaging with background body signal suppression in CRPC patients undergoing Ra-223 therapy: an exploratory analysis.","authors":"Yumiko Kono, Keita Utsunomiya, Satoaki Nakamura, Yasuhiro Ueno, Kaoru Maruyama, Junichi Ikeda, Kenta Takayasu, Nae Takizawa, Hisanori Taniguchi, Masaaki Yanishi, Hidefumi Kinoshita, Noboru Tanigawa","doi":"10.1007/s11604-025-01817-2","DOIUrl":"https://doi.org/10.1007/s11604-025-01817-2","url":null,"abstract":"<p><strong>Objectives: </strong>The aim of this study was to evaluate the utility of diffusion-weighted whole-body imaging with background body signal suppression (DWIBS) in monitoring the response to Ra-223 therapy in patients with castration-resistant prostate cancer (CRPC) and bone metastasis.</p><p><strong>Materials and methods: </strong>This retrospective study included 15 patients with CRPC and bone metastases. DWIBS scans were performed at baseline and after three cycles of Ra-223 therapy. Quantitative analysis of tumor total diffusion volume (tDV) categorized patients as stable disease (DWIBS-SD), partial response (DWIBS-PR), or progressive disease (DWIBS-PD). Kaplan-Meier analysis and log-rank tests were used to assess the correlation between DWIBS findings and survival.</p><p><strong>Results: </strong>Of the 15 patients (median age 72 years ± 7.3), 7 (47%) were classified as DWIBS-SD, 3 (20%) as DWIBS-PR, and 5 (33%) as DWIBS-PD. DWIBS-PD group had significantly shorter survival than the DWIBS-non-PD group (P = 0.004). Despite no significant differences in age, alkaline phosphatase, prostate-specific antigen or bone metastasis volume, DWIBS-PD group had a significantly higher proportion of patients with Eastern Cooperative Oncology Group performance status score of 2 before the treatment compared to DWIBS-non-PD group (P = 0.039).</p><p><strong>Conclusion: </strong>DWIBS is a valuable tool for monitoring treatment response and predicting outcome in patients with CRPC undergoing Ra-223 therapy. Early intervention or treatment modification is recommended for patients with DWIBS-PD.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144316933","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}

{"title":"High visceral-to-subcutaneous fat area ratio is an unfavorable prognostic indicator in patients with uterine sarcoma.","authors":"Mariko Kurokawa, Wataru Gonoi, Shouhei Hanaoka, Ryo Kurokawa, Shunichi Uehara, Masayoshi Kato, Mizuka Suzuki, Yusuke Toyohara, Yasunobu Takaki, Misako Kusakabe, Nao Kino, Takehiro Tsukazaki, Toshiyuki Unno, Kenbun Sone, Osamu Abe","doi":"10.1007/s11604-025-01812-7","DOIUrl":"https://doi.org/10.1007/s11604-025-01812-7","url":null,"abstract":"<p><strong>Purpose: </strong>Uterine sarcoma is a rare disease whose association with body composition parameters is poorly understood. This study explored the impact of body composition parameters on overall survival with uterine sarcoma.</p><p><strong>Materials and methods: </strong>This multicenter study included 52 patients with uterine sarcomas treated at three Japanese hospitals between 2007 and 2023. A semi-automatic segmentation program based on deep learning analyzed transaxial CT images at the L3 vertebral level, calculating body composition parameters as follows: area indices (areas divided by height squared) of skeletal muscle, visceral and subcutaneous adipose tissue (SMI, VATI, and SATI, respectively); skeletal muscle density; and the visceral-to-subcutaneous fat area ratio (VSR). The optimal cutoff values for each parameter were calculated using maximally selected rank statistics with several p value approximations. The effects of body composition parameters and clinical data on overall survival (OS) and cancer-specific survival (CSS) were analyzed.</p><p><strong>Results: </strong>Univariate Cox proportional hazards regression analysis revealed that advanced stage (III-IV) and high VSR were unfavorable prognostic factors for both OS and CSS. Multivariate Cox proportional hazard regression analysis revealed that advanced stage (III-IV) (hazard ratios (HRs), 4.67 for OS and 4.36 for CSS, p < 0.01), and high VSR (HRs, 9.36 for OS and 8.22 for CSS, p < 0.001) were poor prognostic factors for both OS and CSS. Added values were observed when the VSR was incorporated into the OS and the CSS prediction models.</p><p><strong>Conclusion: </strong>Increased VSR and tumor stage are significant predictors of poor overall survival in patients with uterine sarcoma.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144274854","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}

{"title":"Evaluation of AI diagnostic systems for breast ultrasound: comparative analysis with radiologists and the effect of AI assistance.","authors":"Sayumi Tsuyuzaki, Tomoyuki Fujioka, Emi Yamaga, Leona Katsuta, Mio Mori, Yuka Yashima, Mayumi Hara, Arisa Sato, Iichiroh Onishi, Jitsuro Tsukada, Tomoyuki Aruga, Kazunori Kubota, Ukihide Tateishi","doi":"10.1007/s11604-025-01809-2","DOIUrl":"https://doi.org/10.1007/s11604-025-01809-2","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study is to evaluate the diagnostic accuracy of an artificial intelligence (AI)-based Computer-Aided Diagnosis (CADx) system for breast ultrasound, compare its performance with radiologists, and assess the effect of AI-assisted diagnosis. This study aims to investigate the system's ability to differentiate between benign and malignant breast masses among Japanese patients.</p><p><strong>Materials and methods: </strong>This retrospective study included 171 breast mass ultrasound images (92 benign, 79 malignant). The AI system, BU-CAD™, provided Breast Imaging Reporting and Data System (BI-RADS) categorization, which was compared with the performance of three radiologists. Diagnostic accuracy, sensitivity, specificity, and area under the curve (AUC) were analyzed. Radiologists' diagnostic performance with and without AI assistance was also compared, and their reading time was measured using a stopwatch.</p><p><strong>Results: </strong>The AI system demonstrated a sensitivity of 91.1%, specificity of 92.4%, and an AUC of 0.948. It showed comparable diagnostic performance to Radiologist 1, with 10 years of experience in breast imaging (0.948 vs. 0.950; p = 0.893), and superior performance to Radiologist 2 (7 years of experience, 0.948 vs. 0.881; p = 0.015) and Radiologist 3 (3 years of experience, 0.948 vs. 0.832; p = 0.001). When comparing diagnostic performance with and without AI, the use of AI significantly improved the AUC for Radiologists 2 and 3 (p = 0.001 and 0.005, respectively). However, there was no significant difference for Radiologist 1 (p = 0.139). In terms of diagnosis time, the use of AI reduced the reading time for all radiologists. Although there was no significant difference in diagnostic performance between AI and Radiologist 1, the use of AI substantially decreased the diagnosis time for Radiologist 1 as well.</p><p><strong>Conclusion: </strong>The AI system significantly improved diagnostic efficiency and accuracy, particularly for junior radiologists, highlighting its potential clinical utility in breast ultrasound diagnostics.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144247930","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}

{"title":"Current perspectives and emerging trends in iodine-125 seed implantation: a comprehensive bibliometric analysis.","authors":"Zhao Liu, Qinghua Zhang, Xiancun Hou, Wei Shen, Yuan Zhu, Hui Zhu, Zhiyong Li","doi":"10.1007/s11604-025-01805-6","DOIUrl":"https://doi.org/10.1007/s11604-025-01805-6","url":null,"abstract":"<p><strong>Purpose: </strong>Iodine-125 (125-I) seed implantation is a widely used brachytherapy technique for treating various solid tumors. This study aims to provide a bibliometric analysis of the research trends, key contributors, and emerging hotspots in this field.</p><p><strong>Materials and methods: </strong>A comprehensive search was conducted using the Web of Science Core Collection, covering publications from January, 1960 to August 20, 2024. Bibliometric analysis was performed with VOSviewer, CiteSpace, and the R package \"bibliometrix\" to examine trends in publications, countries, institutions, journals, authors, and keywords.</p><p><strong>Results: </strong>The analysis included 2212 publications, showing a steady increase in research output, with USA, China, and Japan leading in publication volume. The University of California System and Keio University were the most productive institutions. Brachytherapy and the International Journal of Radiation Oncology, Biology, and Physics emerged as the most influential journals in this field. Yorozu Atsunori and Wang Junjie were identified as key authors. Keyword co-occurrence analysis highlighted \"cancer,\" \"brachytherapy,\" and \"radiotherapy\" as core themes. Keyword burst analysis revealed evolving research hotspots, such as \"hepatocellular carcinoma,\" \"efficacy,\" \"safety,\" and \"transarterial chemoembolization,\" emphasizing concerns about long-term outcomes, safety, and treatment strategies for 125-I implantation therapy across multiple cancers.</p><p><strong>Conclusion: </strong>This bibliometric analysis underscores that research on 125-I seed implantation is primarily focused on optimizing dosimetry, improving implantation techniques, and addressing long-term outcomes and safety. The findings emphasize the need for standardized treatment protocols to ensure consistent and effective clinical practice.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144208553","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}