BJR open最新文献

{"title":"Predictive value of digital breast tomosynthesis based intratumoral-peritumoral radiomics and clinical features for benign-malignant breast microcalcifications.","authors":"Junting Wei, Jie Li, Ruixin Pan, Yun Zhu, Zhizhen Gao","doi":"10.1093/bjro/tzag020","DOIUrl":"https://doi.org/10.1093/bjro/tzag020","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the value of clinical and radiomics features in distinguishing benign from malignant breast microcalcifications and develop a noninvasive model to reduce unnecessary biopsies.</p><p><strong>Methods: </strong>This retrospective study analyzed 181 microcalcification lesions from 172 patients. Lesions were divided into training/validation sets (7:3). Manual volumes of interest were delineated on digital breast tomosynthesis images. Radiomics features were extracted from intratumoral and peritumoral regions. Among 9 machine learning classifiers, the optimal performer was selected to develop 3 radiomics models: intratumoral model (RM0), intratumoral and peritumoral 1 mm model (RM1), intratumoral and peritumoral 3 mm model (RM3). Independent clinical risk factors identified by univariate and multivariate logistic regression were integrated with the optimal radiomics model to build a nomogram model (NM). Model performance was evaluated using receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis, and clinical impact curves.</p><p><strong>Results: </strong>RM0 performed best. Independent risk factors included: Breast Imaging Reporting and Data System (BI-RADS) category (<i>P</i> < .001), history of diabetes (<i>P</i> = .023), and personal history of breast cancer (<i>P</i> = .034). In the training cohort, the areas under the ROC curve (AUC) were 0.884 (clinical model), 0.728 (RM0), and 0.942 (NM). In the validation cohort, AUCs were 0.881, 0.695, and 0.790, respectively.</p><p><strong>Conclusions: </strong>Single clinical features showed potential predictive value for microcalcifications, while the integrated model might not demonstrate adequate discriminative power.</p><p><strong>Advances in knowledge: </strong>This study highlights the need for noninvasive differentiation of microcalcifications and suggests that while individual clinical factors have value, combined modeling requires further optimization.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag020"},"PeriodicalIF":3.5,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13679928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149229561","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}

{"title":"Automated triage to a virtual lung nodule clinic using veye lung nodule volumetry provides a cost saving compared to standard care.","authors":"Giles Dixon, Vruti Dattani, Vidan Masani, Pia Charters, Mary Jordan, Jonathan C L Rodrigues","doi":"10.1093/bjro/tzag019","DOIUrl":"10.1093/bjro/tzag019","url":null,"abstract":"<p><strong>Objectives: </strong>Pulmonary nodules are frequently identified on thoracic CT imaging, with management guided by established clinical pathways. Thoracic CT scans are reported by both specialist and general radiologists. This study evaluated discordance in pulmonary nodule identification and management between general and specialist radiologists and modeled automated triage to a virtual nodule clinic (VNC).</p><p><strong>Methods: </strong>All CT scans, including the thorax, performed over a 1-week period at a single UK center in March 2022 were identified and original reports reviewed. Oncology follow-up scans were excluded. Reports were categorized and compared with an independent second expert radiologist review. VNC triage pathways were modeled to select patients for second review by an expert radiologist. The pathways used combinations of original radiologist reports and automated nodule assessment (DeepHealth Ltd) to trigger VNC review. The cost implications of each pathway were calculated.</p><p><strong>Results: </strong>Among 243 CT scans, 98 (40%) original reports identified a pulmonary nodule. Expert review identified incorrect recommendations in 24/243 (10%) cases. Errors were significantly more frequent in reports issued by general radiologists compared with specialist thoracic radiologists (χ² ∼ 11.0, df = 2, <i>P </i>< .05). VNC triage pathways that selected cases for secondary review when automated nodule assessment failed to identify a nodule that was identified by the reporting radiologist resulted in the greatest cost savings per corrected nodule.</p><p><strong>Conclusion: </strong>Approximately 10% of thoracic CT scans contained errors in pulmonary nodule reporting. Cost-saving triage pathways combining non-specialist reporting with automated nodule assessment appear feasible and warrant prospective real-world validation.</p><p><strong>Advances in knowledge: </strong>This study demonstrates theoretical clinical implementation of semi-automated triage to a virtual nodule clinic and provides an evidence base for prospective study.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag019"},"PeriodicalIF":3.5,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13654201/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149170436","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}

{"title":"Ultrasound-guided fan biopsy of the breast: clinical utility and outcomes from a single-center experience.","authors":"Ramona Menezes, Ruchira Sinnatamby, Helen Taylor, Nuala A Healy","doi":"10.1093/bjro/tzag013","DOIUrl":"10.1093/bjro/tzag013","url":null,"abstract":"<p><strong>Objective: </strong>US-guided non-focused \"fan\" biopsy of the breast allows for wider sampling directed to a more regional, less focal abnormality seen on US, MRI, mammogram or to an area of clinical concern. The aim of this study was to evaluate our experience of using this technique which has received little formal literature attention.</p><p><strong>Methods: </strong>A retrospective service evaluation was conducted of all US-guided fan biopsies of the breast at a single center between January 2015 and December 2021 with review of indications for use, histological outcomes, subsequent patient management and whether it optimized the patient pathway by enabling timely histological diagnosis, avoiding delays associated with scheduling x-ray or MRI-guided biopsies, and facilitating treatment decisions.</p><p><strong>Results: </strong>90 ultrasound-guided fan biopsies were performed in 89 patients, median age 52.6 years (range 29-90 years) over 7 years. In 49% of cases, the indication was non-mass enhancement seen on MRI. Biopsies yielded malignancy in 31% of cases and this technique was found to be helpful in obtaining histology in 93% (84/90) cases with false negative/inconclusive results in 6.6%.(6/90 cases).</p><p><strong>Conclusion: </strong>Our results suggest the relatively simple procedure of US-guided breast fan biopsy is a cost effective, versatile technique with potential to add value in the patient's pathway.</p><p><strong>Advances in knowledge: </strong>US-guided fan biopsy is a pragmatic method to biopsy breast lesions that are not amenable to conventional targeted biopsy, or require more invasive and expensive techniques, and thus can help avoid delays in the patient diagnostic pathway and facilitate treatment decisions.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag013"},"PeriodicalIF":3.5,"publicationDate":"2026-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13516906/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148835257","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}

{"title":"Fabrication of anatomical sonographic phantoms through direct 3D-printing.","authors":"Joanne Alice Zejmo, Laura Gorman, Christian Myles, James F X Jones","doi":"10.1093/bjro/tzag017","DOIUrl":"10.1093/bjro/tzag017","url":null,"abstract":"<p><strong>Objectives: </strong>Sonographic anatomy classes can be curtailed by the availability of subjects for sensitive regional scanning. These limitations can be overcome by using anatomically realistic ultrasound phantoms (USPs). Simulation-based training with USPs also allows interventional radiology (IR) trainees to safely practice complex procedures. However, commercial phantoms are not patient-specific and involve costly, lengthy production methods. We describe a simple method for producing anatomically realistic USPs from 2D grey-scale ultrasound images using rapid direct 3D-printing technology.</p><p><strong>Methods: </strong>Original sonographic images were obtained from an open-source database and by scanning student volunteers. Images were digitally modified using Inkscape, ImageJ, Blender, Meshmixer, and CHITUBOX software programs. Models were printed using resin photopolymer 3D printers. In total, 4 phantoms were made: a femoral trochlea, a pediatric appendix, an eye with retinal detachment, and a radial nerve/brachioradialis model. The ImageJ Fiji plugin function, \"Block Matching Correspondences\" (BMCs) was used to assess similarity between source and phantom images.</p><p><strong>Results: </strong>All phantom images displayed BMCs with the original images (14%-43% similarity). The radial nerve model displayed the highest similarity. USPs produced with a hydrophilic swellable resin could be imaged throughout their full thickness and penetrated by a needle.</p><p><strong>Conclusions: </strong>In summary, this approach can manufacture USPs from 2D ultrasound data capable of generating anatomically accurate, patient-specific sonographic images. The low cost of these models, alongside their reproducibility through rapid 3D-printing technology, makes them a highly accessible, effective tool for simulation-based IR training.</p><p><strong>Advances in knowledge: </strong>To our knowledge, this study presents the first anatomical USPs, which have been directly 3D-printed from a single 2D ultrasound image source.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag017"},"PeriodicalIF":3.5,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13563663/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148957307","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}

{"title":"Soft skills in radiology: the human core of a technological specialty.","authors":"Federico Bruno, Alessandra Splendiani","doi":"10.1093/bjro/tzag016","DOIUrl":"https://doi.org/10.1093/bjro/tzag016","url":null,"abstract":"<p><p>Radiology is often viewed as a technology-driven specialty, yet radiologists work in a highly interactive clinical environment where interpersonal and cognitive competencies are essential. Soft skills (especially communication, empathy, teamwork, adaptability, and leadership) shape patient trust, support effective procedure counseling, and strengthen collaboration with referring clinicians and multidisciplinary teams. Clear, timely, and consultative communication extends radiology's impact beyond the written report, while responsible digital engagement can enhance professional identity and public trust. As artificial intelligence increasingly automates repetitive imaging tasks, uniquely human strengths such as judgment, ethical reasoning, empathy, and leadership will become even more central to radiologists' value. Investing in mentorship and structured soft-skills development can improve patient experience, departmental efficiency, and professional resilience, reaffirming the human core of a technological specialty.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag016"},"PeriodicalIF":3.5,"publicationDate":"2026-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13478864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148802313","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}

{"title":"An update in the MRI features, classification, and associated brain abnormalities in hypothalamic hamartomas.","authors":"Elham Rahimian, Majid Reza Tahsini, Neda Azin, Soudeh Ghafouri-Fard, Jafar Mehvari Habibabadi, Seyed Sohrab Hashemi Fesharaki, Mohammad Aidin Farahvash, Sara Farahvash, Mahdis Morovvati, Sotirios Bisdas","doi":"10.1093/bjro/tzag015","DOIUrl":"10.1093/bjro/tzag015","url":null,"abstract":"<p><strong>Objectives: </strong>Hypothalamic hamartomas (HHs) are rare, non-neoplastic malformations associated with gelastic seizures and, less frequently, precocius puberty. Recent classifications have linked HH subtypes with clinical features, and emerging evidence suggests that HH may co-occur with other brain abnormalities. This study investigates the imaging characteristics of HH, the prevalence of concurrent structural abnormalities, and metabolic alterations using magnetic resonance spectroscopy (MRS).</p><p><strong>Methods: </strong>We retrospectively analyzed MRI and MRS findings in 18 patients with HH (mean age, 9.24 ± 8 years). Lesions were classified per Li et al, assessing morphology, signal characteristics, associated abnormalities, and MRS-derived choline-to-N-acetylaspartate (Cho/NAA) ratios.</p><p><strong>Results: </strong>Fourteen patients (77.8%) had gelastic seizures, while 4 had non-seizure-related HH, including precocious puberty (<i>n</i> = 1) and NF1 (<i>n</i> = 3). HH lesions were isointense on T1-weighted MRI; 88.9% were isointense and 11.1% hyperintense on T2. Concurrent brain abnormalities were found in 50%, including focal cortical dysplasia, amygdala enlargement, and corpus callosum hypoplasia. MRS in 3 cases showed elevated Cho/NAA ratios.</p><p><strong>Conclusion: </strong>Hypothalamic hamartoma is frequently associated with structural abnormalities and metabolic alterations, particularly in seizure-related cases. These findings support the broader spectrum of HH-related brain abnormalities and highlight the need for further research.</p><p><strong>Advances in knowledge: </strong>This study provides new insights into the imaging and metabolic characteristics of HH, highlighting the significant association between HH subtypes, brain abnormalities, and metabolic alterations. Additionally, it introduces the elevated choline-to-N-acetylaspartate (Cho/NAA) ratio as a potential biomarker, contributing to a deeper understanding of the underlying pathophysiology and diagnostic approach for HH.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag015"},"PeriodicalIF":3.5,"publicationDate":"2026-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13342888/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148414107","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}

{"title":"Cardiac CT for personalized phenotyping in stable coronary artery disease: toward precision medicine.","authors":"Joel Lenell, Kajetan Grodecki, Jacek Kwiecinski, Piotr J Slomka, Marc R Dweck, Michelle C Williams, Marc Dewey, David E Newby, Damini Dey","doi":"10.1093/bjro/tzag014","DOIUrl":"10.1093/bjro/tzag014","url":null,"abstract":"<p><p>Following technological developments and new landmark trials, the diagnostic work-up of symptomatic chronic coronary artery disease (CAD) has evolved. Clinical guidelines now favor noninvasive anatomical assessments by coronary CT angiography (CCTA) as the first-line modality to evaluate CAD in the majority of patients with chest pain. This shift from ischemia testing to stenosis and plaque characterization has resulted in the development of new imaging biomarkers reflecting a variety of coronary plaque features, many of which have proven to be important clinical risk markers. Consequently, there has been a transition from qualitative to semi-quantitative and fully quantitative plaque acquisitions over the entire coronary tree. With the integration of artificial intelligence, novel software enables rapid quantitative acquisitions of plaque components, making them feasible for use in clinical practice. CCTA has also enabled identification of precursor features associated with plaque development such as peri-coronary artery adipose tissue attenuation and epicardial adipose tissue volume. This review provides an overview of CCTA derived plaque features in CAD and associated imaging biomarkers of risk to highlight their potential applications in precision phenotyping and individualized management decisions. It further outlines anticipated future developments that may enable widespread clinical adoption of these novel imaging biomarkers.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag014"},"PeriodicalIF":3.5,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13384062/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148610918","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}

{"title":"Current state of the art of new prostate MRI technologies and potential future developments.","authors":"Rikhil D Makwana, Donald C Wunsch, Shonit Punwani, Fiona Gong, Tyler M Seibert, Baris Turkbey","doi":"10.1093/bjro/tzag011","DOIUrl":"10.1093/bjro/tzag011","url":null,"abstract":"<p><p>Prostate cancer is a common malignancy in men. With the advent of multiparametric MRI and the Prostate Imaging-Reporting and Data System (PI-RADS) framework for grading lesions, there have been multiple advancements in the management and treatment of the disease. There are several new advancements in prostate MRI technology that suggest further exciting developments in the field, ranging from novel imaging sequences to the application of machine learning methods and artificial intelligence (AI) across the imaging pipeline. In this review, we aim to provide context on the current advancements in prostate MRI and will discuss the benefits and drawbacks of several new imaging techniques including hybrid multidimensional MRI, low field strength MRI, restriction spectrum imaging, Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumour (VERDICT) MRI, luminal water imaging, and hyperpolarized C-13 MRI. Additionally, we will introduce several novel AI methods that have been proposed to improve MRI image quality, prostate lesion detection and characterization, as well as touch on the ethical implications of AI in medical imaging of the prostate.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag011"},"PeriodicalIF":3.5,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13278763/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148297556","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}

{"title":"Image quality and radiation dose comparison for abdominopelvic CT studies performed using photon-counting CT and dual-energy CT: a clinical study.","authors":"Areej Aljabal, Lakshmi Ananthakrishnan, Neha Yadu, Anish Goel, Eric Zeikus, Richard Ahn, Liqiang Ren, Yin Xi, Xinhui Duan","doi":"10.1093/bjro/tzag012","DOIUrl":"10.1093/bjro/tzag012","url":null,"abstract":"<p><strong>Objectives: </strong>To compare radiation dose and image quality of abdominopelvic CT studies performed on dual-energy energy-integrating detector CT (EID-CT) and photo-counting CT (PCCT) for the same patient cohort with clinically aligned protocols.</p><p><strong>Methods: </strong>An IRB-approved retrospective cohort study included 49 patients who underwent portal venous phase abdominopelvic CT exams using both dual-energy CT and PCCT scanners within a maximum interval of 3 months. Images reconstructed included virtual monoenergetic images at 50, 60, and 70 keV and mixed images. CTDI_vol values were recorded to assess radiation dose. Regions of interest were drawn in the 6 anatomical locations for quantitative analysis. The overall image quality, contrast enhancement, image noise, and presence of artifacts were evaluated using a 5-point Likert scale.</p><p><strong>Results: </strong>No significant differences were observed in image quality scores between PCCT and EID-CT for most comparisons. Calculated contrast-to-noise ratios (CNR) were significantly higher on PCCT except for 70 keV. PCCT demonstrated a significantly lower radiation dose, with an average reduction of 20% ± 15%, up to 51%.</p><p><strong>Conclusion: </strong>For abdominopelvic CT exams with our institutional protocol settings, PCCT has demonstrated a significant reduction in radiation dose while maintaining similar image quality as EID-CT.</p><p><strong>Advances in knowledge: </strong>With clinically aligned protocols for the same cohort of patients, the results provided robust evidence for understanding the benefits of PCCT. It also provided a possible pathway to transit from EID-CT to PCCT in the abdominopelvic imaging.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag012"},"PeriodicalIF":3.5,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13259597/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148254579","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}

{"title":"Diffuse cystic lung diseases-a primer for radiologists.","authors":"Li Peng, Lan Song, Jinhua Wang, Kepei Xu, Helmut Prosch","doi":"10.1093/bjro/tzag010","DOIUrl":"10.1093/bjro/tzag010","url":null,"abstract":"<p><p>Diffuse cystic lung diseases (DCLDs) comprise a broad spectrum of disorders characterized by diffusely distributed pulmonary cysts, posing significant diagnostic challenges due to overlapping imaging features. High-resolution CT serves as the cornerstone for the diagnosis of DCLDs, yet its reliability is limited by technical constraints, including insufficient spatial resolution for subtle cysts and variable correlation with functional impairment. Furthermore, persistent discrepancies between imaging findings and underlying pathology highlight the inherent limitations of current modalities. This review synthesizes current diagnostic workflows, emphasizing the integration of imaging with clinical, genetic, and histopathological data within a multidisciplinary framework and appraising the impact of emerging technologies on diagnostic precision. Throughout this evolution, radiologists retain a central role in timely recognition, collaborative decision-making, and outcome optimization for patients with DCLDs.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"8 1","pages":"tzag010"},"PeriodicalIF":3.5,"publicationDate":"2026-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13200743/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148038024","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}