Japanese Journal of Radiology最新文献

{"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":"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":"1688-1695"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479555/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning reconstruction for improved image quality of ultra-high-resolution brain CT angiography: application in moyamoya disease.","authors":"Yongping Ma, Satoshi Nakajima, Yasutaka Fushimi, Takeshi Funaki, Sayo Otani, Miyuki Takiya, Akira Matsuda, Satoshi Kozawa, Yasuhiro Fukushima, Sachi Okuchi, Akihiko Sakata, Takayuki Yamamoto, Ryo Sakamoto, Hideo Chihara, Yohei Mineharu, Yoshiki Arakawa, Yuji Nakamoto","doi":"10.1007/s11604-025-01806-5","DOIUrl":"10.1007/s11604-025-01806-5","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate vessel delineation and image quality of ultra-high-resolution (UHR) CT angiography (CTA) reconstructed using deep learning reconstruction (DLR) optimised for brain CTA (DLR-brain) in moyamoya disease (MMD), compared with DLR optimised for body CT (DLR-body) and hybrid iterative reconstruction (Hybrid-IR).</p><p><strong>Materials and methods: </strong>This retrospective study included 50 patients with suspected or diagnosed MMD who underwent UHR brain CTA. All images were reconstructed using DLR-brain, DLR-body, and Hybrid-IR. Quantitative analysis focussed on moyamoya perforator vessels in the basal ganglia and periventricular anastomosis. For these small vessels, edge sharpness, peak CT number, vessel contrast, full width at half maximum (FWHM), and image noise were measured and compared. Qualitative analysis was performed by visual assessment to compare vessel delineation and image quality.</p><p><strong>Results: </strong>DLR-brain significantly improved edge sharpness, peak CT number, vessel contrast, and FWHM, and significantly reduced image noise compared with DLR-body and Hybrid-IR (P < 0.05). DLR-brain significantly outperformed the other algorithms in the visual assessment (P < 0.001).</p><p><strong>Conclusion: </strong>DLR-brain provided superior visualisation of small intracranial vessels compared with DLR-body and Hybrid-IR in UHR brain CTA.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"1634-1642"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479687/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advantages of deep learning reconstruction algorithm in ultra-high-resolution CT for the diagnosis of pancreatic cystic neoplasm.","authors":"Keitaro Sofue, Yoshiko Ueno, Shinji Yabe, Eisuke Ueshima, Takeru Yamaguchi, Atsuhiro Masuda, Arata Sakai, Hirochika Toyama, Takumi Fukumoto, Masatoshi Hori, Takamichi Murakami","doi":"10.1007/s11604-025-01804-7","DOIUrl":"10.1007/s11604-025-01804-7","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to evaluate the image quality and clinical utility of a deep learning reconstruction (DLR) algorithm in ultra-high-resolution computed tomography (UHR-CT) for the diagnosis of pancreatic cystic neoplasms (PCNs).</p><p><strong>Methods: </strong>This retrospective study included 45 patients with PCNs between March 2020 and February 2022. Contrast-enhanced UHR-CT images were obtained and reconstructed using DLR and hybrid iterative reconstruction (IR). Image noise and contrast-to-noise ratio (CNR) were measured. Two radiologists assessed the diagnostic performance of the imaging findings associated with PCNs using a 5-point Likert scale. The diagnostic performance metrics, including sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC), were calculated. Quantitative and qualitative features were compared between CT with DLR and hybrid IR. Interobserver agreement for qualitative assessments was also analyzed.</p><p><strong>Results: </strong>DLR significantly reduced image noise and increased CNR compared to hybrid IR for all objects (p < 0.001). Radiologists rated DLR images as superior in overall quality, lesion delineation, and vessel conspicuity (p < 0.001). DLR produced higher AUROC values for diagnostic imaging findings (ductal communication: 0.887‒0.938 vs. 0.816‒0.827 and enhanced mural nodule: 0.843‒0.916 vs. 0.785‒0.801), although DLR did not directly improve sensitivity, specificity, and accuracy. Interobserver agreement for qualitative assessments was higher in CT with DLR (κ = 0.69‒0.82 vs. 0.57‒0.73).</p><p><strong>Conclusion: </strong>DLR improved image quality and diagnostic performance by effectively reducing image noise and improving lesion conspicuity in the diagnosis of PCNs on UHR-CT. The DLR demonstrated greater diagnostic confidence for the assessment of imaging findings associated with PCNs.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"1652-1662"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144187003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","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":"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":"1618-1627"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","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":"Comprehensive review of pulmonary embolism imaging: past, present and future innovations in computed tomography (CT) and other diagnostic techniques.","authors":"Sonia Triggiani, Giuseppe Pellegrino, Sveva Mortellaro, Alessandra Bubba, Carolina Lanza, Serena Carriero, Pierpaolo Biondetti, Salvatore Alessio Angileri, Roberta Fusco, Vincenza Granata, Gianpaolo Carrafiello","doi":"10.1007/s11604-025-01811-8","DOIUrl":"10.1007/s11604-025-01811-8","url":null,"abstract":"<p><p>Pulmonary embolism (PE) remains a critical condition that demands rapid and accurate diagnosis, for which computed tomographic pulmonary angiography (CTPA) is widely recognized as the diagnostic gold standard. However, recent advancements in imaging technologies-such as dual-energy computed tomography (DECT), photon-counting CT (PCD-CT), and artificial intelligence (AI)-offer promising enhancements to traditional diagnostic methods. This study reviews past, current and emerging technologies, focusing on their potential to optimize diagnostic accuracy, reduce contrast volumes and radiation doses, and streamline clinical workflows. DECT, with its dual-energy imaging capabilities, enhances image clarity even with lower contrast media volumes, thus reducing patient risk. Meanwhile, PCD-CT has shown potential for dose reduction and superior image resolution, particularly in challenging cases. AI-based tools further augment diagnostic speed and precision by assisting radiologists in image analysis, consequently decreasing workloads and expediting clinical decision-making. Collectively, these innovations hold promise for improved clinical management of PE, enabling not only more accurate diagnoses but also safer, more efficient patient care. Further research is necessary to fully integrate these advancements into routine clinical practice, potentially redefining diagnostic workflows for PE and enhancing patient outcomes.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"1575-1589"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479586/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144528021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LI-RADS CT/MRI radiation treatment response assessment version 2024: the importance of pretreatment stage and time.","authors":"Sung-Hua Chiu, Aya Kamaya, Justin Ruey Tse","doi":"10.1007/s11604-025-01808-3","DOIUrl":"10.1007/s11604-025-01808-3","url":null,"abstract":"","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"1725-1726"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144173746","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":"Multi-b-value diffusion-weighted imaging-derived parameters for differentiating high-grade serous ovarian carcinoma from other epithelial ovarian cancers.","authors":"Tsukasa Saida, Miki Yoshida, Taishi Amano, Masashi Shindo, Reo Nemoto, Takeo Iizuka, Ayumi Shikama, Toyomi Satoh, Takahito Nakajima","doi":"10.1007/s11604-025-01813-6","DOIUrl":"10.1007/s11604-025-01813-6","url":null,"abstract":"<p><strong>Objective: </strong>High-grade serous carcinoma (HGSC) is the most common ovarian cancer subtype, and its differentiation from others is crucial for treatment. This study aimed to evaluate parameters derived from multi-b-value diffusion-weighted imaging (DWI), including apparent diffusion coefficient (ADC), and metrics based on intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI), for differentiating HGSC from other ovarian cancers.</p><p><strong>Methods: </strong>We retrospectively analysed patients with primary epithelial ovarian cancer who underwent preoperative MRI including multi-b-value DWI. From the solid tissues of the tumours, diffusion parameters were derived from the multi-b-value DWI data using different models: ADC using a mono-exponential model; the true diffusion coefficient (Di), pseudo-diffusion coefficient (D*), and perfusion fraction (f) using the IVIM model; and kurtosis (K) using the DKI model.</p><p><strong>Results: </strong>This study included 56 patients with different histological cancer subtypes (mean age, 60 years; range, 24-87 years). The mean values of HGSC compared to the other cancers showed lower ADC (0.58 ± 0.21 × 10⁻³ mm²/s vs. 0.76 ± 0.18 × 10⁻³ mm²/s, p < 0.001), lower Di (0.37 ± 0.09 × 10⁻³ mm²/s vs. 0.42 ± 0.15 × 10⁻³ mm²/s, p = 0.201), and lower f (35.79 ± 11.48% vs. 48.01 ± 17.21%, p = 0.003), with a higher K (1.06 ± 0.25 vs. 0.84 ± 0.20, p = 0.341). Among these parameters, ADC showed the highest diagnostic performance in differentiating HGSC from others, with an area under the receiver operating characteristic curve of 0.79. These trends were particularly pronounced between HGSC and clear cell carcinoma, with significant differences in all parameters except D*. Additionally, K _Mean was the only parameter that showed a significant difference between HGSC and endometrioid carcinoma.</p><p><strong>Conclusion: </strong>Multi-b-value DWI-derived parameters, particularly ADC, may aid in the non-invasive preoperative differentiation of HGSC from other ovarian cancers. Multi-b-value DWI-derived parameters, especially ADC, demonstrated utility in differentiating high-grade serous carcinoma (HGSC) from other ovarian cancers, highlighting their potential in non-invasive preoperative tumor characterization.</p>","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"1678-1687"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479561/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to: LI-RADS CT/MRI radiation treatment response assessment version 2024: the importance of pretreatment stage and time.","authors":"Jaeseung Shin, Sunyoung Lee","doi":"10.1007/s11604-025-01820-7","DOIUrl":"10.1007/s11604-025-01820-7","url":null,"abstract":"","PeriodicalId":14691,"journal":{"name":"Japanese Journal of Radiology","volume":" ","pages":"1727-1728"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340128","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":"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":"1716-1724"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479610/pdf/","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":"OA","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":"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":"1670-1677"},"PeriodicalIF":2.1,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12479680/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}