Ariadne K DeSimone, Silvia Arora, Kathryn A Schulz, Suzanne C Byrne, Mark M Hammer
{"title":"Missed and Interval Lung Cancers in an Academic Lung Cancer Screening Program.","authors":"Ariadne K DeSimone, Silvia Arora, Kathryn A Schulz, Suzanne C Byrne, Mark M Hammer","doi":"10.1097/RTI.0000000000000842","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000842","url":null,"abstract":"<p><strong>Purpose: </strong>To analyze imaging features and pathology of missed and interval lung cancers within an academic lung cancer screening (LCS) program.</p><p><strong>Materials and methods: </strong>This retrospective study included patients who underwent LCS CT in our health care network between January 2015 and June 2023 and were diagnosed with lung cancer within one year. The most recent prior LCS CT was classified as \"false negative\" (Lung-RADS 1 to 2) or \"true positive\" (Lung-RADS 3 to 4). Cancer stage and pathology were compared between false-negative and true-positive groups in the lung cancer screening program. False-negative cases were retrospectively reviewed.</p><p><strong>Results: </strong>A total of 456 patients were diagnosed with lung cancer. Of these, 432 (95%) were true positive, while 24 (5%) were false negative. Of the 24 false-negative studies, 8 (33.3%) were missed lung cancers, 3 (12.5%) were interval cancers (ie, no nodule visible in retrospect), and 13 (54.2%) were slow-growing ground-glass or part-solid or cystic nodules categorized as Lung-RADS 2. Missed lung cancer locations were: paramediastinal (37.5%, 3/8), perihilar (12.5%, 1/8), and endobronchial (50%, 4/8). There was no statistically significant difference in cancer histology or stage between false-negative and true-positive cases.</p><p><strong>Conclusions: </strong>Within an academic lung cancer screening program, sensitivity for lung cancer detection was 95%, yet missed and interval lung cancers still occur. Endobronchial lesions are one of the more important sources of misses that are potentially addressable by radiologists.</p><p><strong>Clinical relevance: </strong>The findings of the present study provide insight into missed and interval lung cancers within a lung cancer screening program.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144709708","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}
Yannan Lin, Seyed Mohammad Hossein Tabatabaei, Ruiwen Ding, Tracey A Sanders, Denise R Aberle, William Hsu, Ashley E Prosper
{"title":"Analyzing Patient Characteristics and Lung Cancer Outcomes Pre and Post the 2021 USPSTF Lung Cancer Screening Guidelines: Experience From a Large Academic Institution.","authors":"Yannan Lin, Seyed Mohammad Hossein Tabatabaei, Ruiwen Ding, Tracey A Sanders, Denise R Aberle, William Hsu, Ashley E Prosper","doi":"10.1097/RTI.0000000000000838","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000838","url":null,"abstract":"<p><strong>Purpose: </strong>In 2021, the US Preventive Services Task Force (USPSTF) revised the guidelines for lung cancer screening (LCS). Numerous studies have examined the effects of the guideline changes on LCS eligibility. Yet, few have focused on their impact on participation and lung cancer outcomes within a clinical LCS cohort.</p><p><strong>Materials and methods: </strong>This retrospective cohort study included individuals who underwent low-dose computed tomography (LDCT) screening between July 31, 2013, and August 25, 2023, at a large tertiary academic medical center. Patients were categorized into the preguideline and postguideline revision groups based on LCS eligibility and insurance status. Patient characteristics at baseline screening and lung cancer outcomes were compared.</p><p><strong>Results: </strong>Among 3929 patients, after implementing the new guidelines, the average monthly volume of new LCS patients nearly tripled (68 vs. 23, P<0.05). Notable reductions were observed in age (mean: 63 vs. 65, P<0.05), pack-years (mean: 35 vs. 44, P<0.05), and PLCOm2012 risk score (mean: 2.9% vs. 4.1%, P<0.05). The proportion of negative LDCT results increased (89.4% vs. 84.5%, P<0.05). The proportion of Black patients decreased (5.1% vs. 6.9%, P<0.05), while Hispanic patients increased from 5.5% to 7.6% (P<0.05). The lung cancer detection rate fell in the postguideline group (0.9% vs. 4.5%, P<0.05), with 8 lung cancers detected among 943 newly eligible patients.</p><p><strong>Conclusions: </strong>Disparities in LCS participation among racial and ethnic groups were observed following the 2021 USPSTF LCS guidelines, highlighting the need for active outreach and patient education, as guideline revisions alone increase eligibility but do not ensure participation.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676356","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}
Chanel M Wood, Isabel O Cortopassi, Matthew R McCann, Patricia J Mergo, Justin T Stowell, Brent P Little
{"title":"Psychological and Behavioral Factors in Lung Cancer Screening Uptake and Adherence: Challenges and Opportunities.","authors":"Chanel M Wood, Isabel O Cortopassi, Matthew R McCann, Patricia J Mergo, Justin T Stowell, Brent P Little","doi":"10.1097/RTI.0000000000000841","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000841","url":null,"abstract":"<p><p>Lung cancer screening participation and adherence are influenced by individual psychological and cognitive factors and behaviors that may have negative or positive effects on screening, and the screening process in turn has important psychological and behavioral consequences. A nuanced understanding of these factors and consequences is essential in creating and administering effective and humane lung cancer screening programs. Barriers to lung cancer screening, such as knowledge gaps, anxiety, stigma, cost and inconvenience, can be addressed through patient-centered best practices and a wide variety of educational and behavioral interventions. The potential positive psychological and behavioral effects of lung cancer screening can also be leveraged to maximize uptake and promote screening adherence and other positive behavioral outcomes. This comprehensive review summarizes the known psychological and behavioral factors relevant to lung cancer screening uptake and adherence and provides suggestions for overcoming psychological and cognitive obstacles to successful screening.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144545845","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}
Ana P S Lima, Desiree A Marshall, Eric Morrell, Sudhakar N J Pipavath
{"title":"Bridging the Gap: A Comprehensive Review of Radiology and Pathology in Acute Lung Injury.","authors":"Ana P S Lima, Desiree A Marshall, Eric Morrell, Sudhakar N J Pipavath","doi":"10.1097/RTI.0000000000000837","DOIUrl":"10.1097/RTI.0000000000000837","url":null,"abstract":"<p><p>Acute respiratory distress syndrome (ARDS) is a life-threatening condition characterized by widespread inflammation in the lungs. It is associated with high mortality and morbidity in critically ill patients. ARDS are conditions that cause acute respiratory failure due to noncardiogenic pulmonary edema, leading to severe hypoxemia and diffuse, bilateral lung injury. These conditions represent a spectrum of lung injury with varying severity and complexity. ARDS is a more severe form of ALI. ALI can also describe a range of clinical and paraclinical findings that include one or both pathologic patterns of organizing pneumonia (OP) or diffuse alveolar damage (DAD). The pathologic correlate of ARDS is DAD. This damage can be triggered by various risk factors, including pneumonia, sepsis, trauma, and the inhalation of harmful substances. The alveolar capillary damage that accompanies DAD leads to a loss in barrier function and is associated with the accumulation of fluid into the alveolar space. This fluid accumulation (pulmonary edema), along with subsequent organization and scarring, impairs gas exchange, which leads to hypoxemia and respiratory failure. Despite advances in understanding the pathophysiology of ARDS and improvements in supportive care, the mortality rates from ARDS still range from 25% to 45%. It is crucial to recognize that radiographic and histologic findings in a patient with ARDS can vary significantly depending on the phase of the disease. This is because the pathophysiological processes underlying these conditions evolve over time, leading to changes in both clinical presentation and imaging findings. Misinterpretation of these findings could lead to incorrect diagnoses and inappropriate treatment strategies. Therefore, understanding the temporal evolution of this condition is essential for accurate diagnosis and effective management. Our paper seeks to examine the existing literature focusing on radiology and pathology at different phases of injury and resolution to enhance management of ARDS.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144477632","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":"Anomalies of the Brachiocephalic Vein: A Pictorial Review.","authors":"Thazhathu Veettil Sreelal, Niraj Nirmal Pandey","doi":"10.1097/RTI.0000000000000840","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000840","url":null,"abstract":"<p><p>Anomalies of the brachiocephalic or \"innominate\" vein, which may be of course or number, are rare. Previously, most cases were incidentally detected during surgery or in autopsy specimens. Doppler evaluation may also demonstrate these anomalies; however, the sensitivity is poor due to suboptimal visualization of the entire course. With the advent of multidetector CT angiography, these anomalies are increasingly being detected. Although majority of cases are incidentally detected on scans performed for evaluation of congenital heart defects, these anomalies assume clinical importance when central venous cannulation or pacemaker insertion is contemplated through the anomalous side. Prior knowledge of the anomalous anatomy is also important before cardiothoracic surgeries. In this article, we present a pictorial review of the anomalies of the brachiocephalic vein using multidetector CT angiography.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250526","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":"Imaging Spectrum of Mesenchymal Tumors of Lungs and Pleura.","authors":"Nivedita Chakrabarty, Ashu Seith Bhalla, Manisha Jana, Abhishek Mahajan","doi":"10.1097/RTI.0000000000000839","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000839","url":null,"abstract":"<p><p>This review covers World Health Organization classification and in-depth imaging of diverse adult and paediatric mesenchymal tumors of the thorax (lungs and pleura), highlighting their key imaging features predominantly on computed tomography (CT) including CT angiography (for intimal sarcoma), and also on other imaging modalities such as ultrasound, magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography CT (FDG PET-CT) wherever necessary. Although rare, it is essential to identify and differentiate these mesenchymal tumors from the common epithelial tumors of lungs on imaging, as their management is entirely different. Mesenchymal tumor should be suspected over epithelial tumor when the CT scan shows a large-sized, well-marginated tumor or a tumor containing fat and calcifications in adults, or a solid-cystic tumor in a relatively younger population. An algorithmic approach to diagnosing these tumors has been presented at the end based on age (children/adult), location (perihilar /intrapulmonary/ peripheral), nature of tumor (solid/solid-cystic), and content (calcification/fat), for the ease of evaluation by the radiologists.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144200687","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":"The Diagnostic Performance of Large Language Models and General Radiologists in Thoracic Radiology Cases: A Comparative Study.","authors":"Yasin Celal Gunes, Turay Cesur","doi":"10.1097/RTI.0000000000000805","DOIUrl":"10.1097/RTI.0000000000000805","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate and compare the diagnostic performance of 10 different large language models (LLMs) and 2 board-certified general radiologists in thoracic radiology cases published by The Society of Thoracic Radiology.</p><p><strong>Materials and methods: </strong>We collected publicly available 124 \"Case of the Month\" from the Society of Thoracic Radiology website between March 2012 and December 2023. Medical history and imaging findings were input into LLMs for diagnosis and differential diagnosis, while radiologists independently visually provided their assessments. Cases were categorized anatomically (parenchyma, airways, mediastinum-pleura-chest wall, and vascular) and further classified as specific or nonspecific for radiologic diagnosis. Diagnostic accuracy and differential diagnosis scores (DDxScore) were analyzed using the χ 2 , Kruskal-Wallis, Wilcoxon, McNemar, and Mann-Whitney U tests.</p><p><strong>Results: </strong>Among the 124 cases, Claude 3 Opus showed the highest diagnostic accuracy (70.29%), followed by ChatGPT 4/Google Gemini 1.5 Pro (59.75%), Meta Llama 3 70b (57.3%), ChatGPT 3.5 (53.2%), outperforming radiologists (52.4% and 41.1%) and other LLMs ( P <0.05). Claude 3 Opus DDxScore was significantly better than other LLMs and radiologists, except ChatGPT 3.5 ( P <0.05). All LLMs and radiologists showed greater accuracy in specific cases ( P <0.05), with no DDxScore difference for Perplexity and Google Bard based on specificity ( P >0.05). There were no significant differences between LLMs and radiologists in the diagnostic accuracy of anatomic subgroups ( P >0.05), except for Meta Llama 3 70b in the vascular cases ( P =0.040).</p><p><strong>Conclusions: </strong>Claude 3 Opus outperformed other LLMs and radiologists in text-based thoracic radiology cases. LLMs hold great promise for clinical decision systems under proper medical supervision.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142299689","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}
Chi Wan Koo, Sean J Huls, Francis Baffour, Cynthia H McCollough, Lifeng Yu, Brian J Bartholmai, Zhongxing Zhou
{"title":"Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.","authors":"Chi Wan Koo, Sean J Huls, Francis Baffour, Cynthia H McCollough, Lifeng Yu, Brian J Bartholmai, Zhongxing Zhou","doi":"10.1097/RTI.0000000000000807","DOIUrl":"10.1097/RTI.0000000000000807","url":null,"abstract":"<p><strong>Purpose: </strong>Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model.</p><p><strong>Materials and methods: </strong>A QML model analyzed 52 CT exams from patients who underwent same-day conventional and PCD-CT for suspected ILD. Lin's concordance correlation coefficient (CCC) assessed agreement between conventional and PCD-CT QML results. A CCC >0.90 was regarded as excellent, 0.9 to 0.8 as good, and <0.80 as a poor concordance. Spearman rank correlation evaluated the association between pulmonary function test results (PFT) and QML features (reticulation [R], honeycombing [HC], ground glass [GG], interstitial lung disease [ILD], and vessel-related structures [VRS]). Correlations were statistically significant if the 95% CI did not include 0.00 and P value <0.05.</p><p><strong>Results: </strong>Conventional and PCD-CT QML results had good to excellent concordance (CCC ≥0.8) except for total HC (CCC <0.8), likely related to better PCD-CT honeycombing delineation. Overall, compared with conventional CT, PCD-CT had consistently more statistically significant correlation with PFT for HC (9 PCD vs. 2 conventional of 28 total and regional associations), similar correlation for R (20 PCD vs. 18 conventional of 28 associations) and VRS (19 PCD vs. 23 conventional of 28 associations), and less correlation for GG extent (12 PCD vs. 20 conventional associations).</p><p><strong>Conclusions: </strong>There is strong agreement between conventional and PCD-CT QML ILD features except for HC. PCD-CT improved HC but decreased GG extent correlation with PFT. Therefore, even though most quantitative features were not impacted by the newer PCD-CT technology, model adjustment is necessary.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142512036","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}
Taylor Sellers, Kirsten Alman, Maxwell Machurick, Hilary Faust, Jeffrey Kanne
{"title":"Acute Pulmonary Injury: An Imaging and Clinical Review.","authors":"Taylor Sellers, Kirsten Alman, Maxwell Machurick, Hilary Faust, Jeffrey Kanne","doi":"10.1097/RTI.0000000000000825","DOIUrl":"10.1097/RTI.0000000000000825","url":null,"abstract":"<p><p>Acute pulmonary injury can occur in response to any number of inciting factors. The body's response to these insults is much less diverse and usually categorizable as one of several patterns of disease defined by histopathology, with corresponding patterns on chest CT. Common patterns of acute injury include diffuse alveolar damage, organizing pneumonia, acute eosinophilic pneumonia, and hypersensitivity pneumonitis. The ultimate clinical diagnosis is multidisciplinary, requiring a detailed history and relevant laboratory investigations from referring clinicians, identification of injury patterns on imaging by radiologists, and sometimes tissue evaluation by pathologists. In this review, several clinical diagnoses will be explored, grouped by imaging pattern, with a representative clinical presentation, a review of the current literature, and a discussion of typical imaging findings. Additional information on terminology and disambiguation will be provided to assist with comprehension and standardization of descriptions. The focus will be on the acute phase of illness from presentation to diagnosis; treatment methods and chronic sequela of acute disease are beyond the scope of this review.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143651698","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}
Wesley Bocquet, Roger Bouzerar, Géraldine François, Antoine Leleu, Cédric Renard
{"title":"Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm.","authors":"Wesley Bocquet, Roger Bouzerar, Géraldine François, Antoine Leleu, Cédric Renard","doi":"10.1097/RTI.0000000000000806","DOIUrl":"10.1097/RTI.0000000000000806","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a radiation exposure equivalent to a 2-view chest x-ray, for pulmonary nodule detection using deep learning image reconstruction (DLIR).</p><p><strong>Material and methods: </strong>This prospective cross-sectional study included 60 patients referred to our institution for assessment or follow-up of solid pulmonary nodules. All patients underwent low-dose (LD) and ULD chest CT within the same examination session. LD CT data were reconstructed using Adaptive Statistical Iterative Reconstruction-V (ASIR-V), whereas ULD CT data were reconstructed using DLIR and ASIR-V. ULD CT images were reviewed by 2 readers and LD CT images were reviewed by an experienced thoracic radiologist as the reference standard. Quantitative image quality analysis was performed, and the detectability of pulmonary nodules was assessed according to their size and location.</p><p><strong>Results: </strong>The effective radiation dose for ULD CT and LD CT were 0.13±0.01 and 1.16±0.6 mSv, respectively. Over the whole population, LD CT revealed 733 nodules. At ULD, DLIR images significantly exhibited better image quality than ASIR-V images. The overall sensitivity of DLIR reconstruction for the detection of solid pulmonary nodules from the ULD CT series was 93% and 82% for the 2 readers, with a good to excellent agreement with LD CT (ICC=0.82 and 0.66, respectively). The best sensitivities were observed in the middle lobe (97% and 85%, respectively).</p><p><strong>Conclusions: </strong>At ULD, DLIR reconstructions, with minimal radiation exposure that could facilitate large-scale screening, allow the detection of pulmonary nodules with high sensitivity in an unrestricted BMI population.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142299685","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}