Journal of Thoracic Imaging最新文献

{"title":"The Society of Thoracic Radiology Mentorship Program: A Paradigm for Professional Societies.","authors":"Georgeann McGuinness, Linda B Haramati, Chi Wan Koo, Baskaran Sundaram","doi":"10.1097/RTI.0000000000000834","DOIUrl":"10.1097/RTI.0000000000000834","url":null,"abstract":"<p><p>The Society of Thoracic Radiology (STR) membership enthusiastically embraced the launch of its mentorship program, with peaks in participation and engagement after annual meetings and during the COVID pandemic. The program provides a valuable resource for early to mid-career thoracic radiologists, especially those lacking local resources. This report describes the program's inception and design, and summarizes the program's successes and challenges at 5 years, based on a 2023 mentorship survey. STR mentees, spanning early to mid-career stages, most frequently sought mentorship in career development, graduate medical education, research portfolio development, publishing, cardiac imaging, grant funding, and artificial intelligence. Mentors offered expertise in these areas, plus lung cancer screening, career development, and workplace navigation. The committee prioritized creating dyads based on mutual interest and expertise, achieving mutual top-choice match rates of 70% to 97%. Enduring dyads flourished as the program matured. At 5 years, a survey of participants was fielded. Mentees reported moderate to high program impact on scholarly activities, leadership, networking, clinical service, education, and career satisfaction. Mentors described satisfaction in their roles, highlighting networking, career satisfaction, and the opportunity to influence upcoming generations of cardiothoracic radiologists, thereby impacting the field's future. Most participants expressed high career satisfaction. Descriptive comments further enriched findings. Survey results confirmed that strengthening dyad formation and enhancing mentoring outcomes remain pivotal. Remote mentorship, while valuable, presents challenges-personal connections and contextual familiarity, considered essential to successful mentorship relationships, are typically absent in these settings. Activities to potentially enhance the STR mentorship program are offered.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144057097","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":"Bronchial Arterial Chemoembolization With Drug-eluting Beads Versus With Gelfoam Particles for Advanced Nonsmall-cell Lung Cancer.","authors":"Xuedong Sun, Yanjing Han, Qi Wang, Tianhao Su, Yuefeng Hu, Jian Wei, Zhiyuan Zhang, Siwei Yang, Long Jin","doi":"10.1097/RTI.0000000000000829","DOIUrl":"10.1097/RTI.0000000000000829","url":null,"abstract":"<p><strong>Background: </strong>Bronchial arterial chemoembolization (BACE), as a safe and effective minimally invasive treatment method, is increasingly being accepted by more and more patients with advanced nonsmall-cell lung cancer (NSCLC). In recent years, drug-eluting beads (DEB)-BACE has also been applied in the field of lung cancer. It is still unclear which is more recommended due to the limited number of comparative studies between conventional BACE (C-BACE) and DEB-BACE.</p><p><strong>Purpose: </strong>To compare the safety and efficacy of C-BACE (BACE with gelfoam particles) and DEB-BACE for advanced NSCLC.</p><p><strong>Materials and methods: </strong>From January 2021 to April 2023, 48 consecutive patients (37 males and 11 females) with advanced NSCLC treated with DEB-BACE (group A) or C-BACE (group B) at our center were collected retrospectively in this study. There were 18 patients in group A and 30 patients in group B. The technical success rate, adverse events, objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS) were compared between the 2 groups.</p><p><strong>Results: </strong>The technical success rate in both groups was 100%. The median OS times were 19.5 months and 12.5 months in group A and group B, respectively ( P =0.0062). The median PFS times were 13 months and 7 months in group A and group B, respectively ( P =0.0072). The ORRs at 6 months were 72.2% and 46.7% in group A and group B, respectively ( P =0.084). The DCRs at 6 months were 88.9% and 63.3% in group A and group B, respectively ( P =0.043). Grade 1 adverse events like chest pain, and cough were common, while serious adverse events did not occur.</p><p><strong>Conclusions: </strong>BACE with DEB or gelfoam particles were equally safe. The DEB-BACE showed better survival and tumor response than C-BACE for advanced NSCLC.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12369502/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143774672","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":"Computer-aided Nodule Detection in the Lung Apices in Head and Neck Computed Tomography Angiography: An Unexpected Opportunity.","authors":"Tamar Perel Kass, Jeffrey Chankowsky, Jacob Sosna, Benjamin Hyatt Taragin, Alla Khashper","doi":"10.1097/RTI.0000000000000836","DOIUrl":"10.1097/RTI.0000000000000836","url":null,"abstract":"<p><strong>Purpose: </strong>Computed tomography angiography (CTA) of the head and neck includes the pulmonary apices, a common location for pulmonary nodules. Computer-aided detection (CAD) is an adjunctive tool for the detection of lung nodules and is widely used in standard chest CT scans. We evaluated whether the available software can be applied to CTA head and neck examinations, which include the lung apices, resulting in improved accuracy for lung nodule detection.</p><p><strong>Materials and methods: </strong>In this retrospective single-center study, 191 previously reported head and neck CTA scans were re-evaluated for apical pulmonary nodules by 2 radiologists. Subsequently, CAD software ( Syngo .via, Siemens Healthiness AG) was applied to the lung apices and the results were compared between CAD and research radiologists (first reading) or clinical radiologist (null reading). In addition, the CAD performance in limited lung fields was compared with the accepted CAD assessment applied to whole lungs.</p><p><strong>Results: </strong>Of the 191 patients, 110 (57.6%) were men, with a mean age of 68 years. In the 24 CT scans, the research radiologists detected 40 nodules. In the 180 scans evaluated by CAD, the software detected 39 nodules in 22 examinations, with a sensitivity of 60.8% and a PPV of 63.6%. In the remaining 158 examinations in which CAD did not detect nodules, the radiologists concurred in 149 scans, with a specificity of 94.9%, NPV of 94.3%, and accuracy of 90.6%.</p><p><strong>Conclusion: </strong>The study results indicate that CAD is an unexpected quick supportive tool for nodule detection, particularly for excluding clinically significant nodules in lung apices on CTA head and neck, showing similar results for partial and full lung fields.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12369503/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144250577","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":"The Conundrum of Computed Tomography Findings in Chronic Pulmonary Aspergillosis: Insights From 103 Cases.","authors":"Mandeep Garg, Harsimran Bhatia, Inderpaul Sehgal, Shritik Devkota, Nidhi Prabhakar, Uma Debi, Rajender Kumar, Shivaprakash M Rudramurthy, Valliapan Muthu, Ritesh Agarwal","doi":"10.1097/RTI.0000000000000828","DOIUrl":"10.1097/RTI.0000000000000828","url":null,"abstract":"<p><strong>Purpose: </strong>To describe the spectrum of computed tomography (CT) findings in various chronic pulmonary aspergillosis (CPA) subtypes.</p><p><strong>Material and methods: </strong>This retrospective study analyzed the CT scans of consecutively diagnosed CPA cases. Two radiologists independently evaluated the CT findings (both qualitatively and quantitatively) to characterize the lung cavities, intracavitary contents, pericavitary opacities and fibrosis, mediastinal shift, pleural thickening, and underlying structural lung disease. Patients were then classified into CPA subtypes, and between-group differences were assessed using the sample t test, Wilcoxon test, χ 2 test, and Fisher exact test.</p><p><strong>Results: </strong>Among 103 patients with CPA (mean age: 47.26 ± 1.98 y; 69 men), 77.7%, 15.5%, and 6.8% were categorized as chronic cavitary pulmonary aspergillosis, chronic fibrosing pulmonary aspergillosis (CFPA), and single/simple aspergilloma, respectively. The mean symptom duration was 2.7 ± 3.96 years, with cough being the most common symptom (86.4%). Underlying post-tubercular lung abnormalities were observed in 97.1% of the patients. Cavities were observed in all patients (100%), most commonly in the left upper lobe (68.0%). The difference in cavity number among CPA subtypes was statistically significant ( P = 0.003), with 87.5% CFPA and 41.5% chronic cavitary pulmonary aspergillosis cases showing multiple cavities. The overall median cavity wall thickness was 6 mm (interquartile range: 2.8), with the highest value in the CFPA. Pericavitary fibrosis was observed in 70.9% of overall cases and in 100% of CFPA cases ( P < 0.001). Intracavitary contents were identified in 89.3% of patients. The median pleural thickness was 8 mm (interquartile range: 4), which was significantly different among CPA subtypes ( P = 0.001). There was excellent interobserver agreement (k = 0.94) between the two readers. Posterior intercostal lymph nodes were identified in 66%, a novel CPA observation.</p><p><strong>Conclusion: </strong>Comprehensive qualitative and quantitative assessment of CT findings improves the characterization of the CPA subtypes. The number and size of lung cavities, mediastinal shift, and pleural thickness, among other quantitative parameters, vary significantly across CPA subtypes, facilitating more accurate differentiation between them.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143722346","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 and Clinical Features of Nodular Pulmonary Amyloidosis.","authors":"Fei Li, Junting Li, Yanyan Li, Danting Shang, Xingyi Hou, Yanli He, Gangfeng Li","doi":"10.1097/RTI.0000000000000830","DOIUrl":"10.1097/RTI.0000000000000830","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the clinical and computed tomography (CT) features of nodular pulmonary amyloidosis (NPA) to enhance our understanding of the disease and improve the ability to differentiate it from other similar conditions.</p><p><strong>Materials and methods: </strong>A retrospective analysis was conducted on the clinical data, chest CT imaging findings, and pathologic characteristics of 13 patients with NPA in our hospital from April 2014 to April 2024. All 13 patients underwent chest CT plain scan examination. The basic data, medical history, clinical manifestations, and lung lesion features on chest CT imaging were analyzed and summarized.</p><p><strong>Results: </strong>Among the 13 patients, there were 3 males (23.08%) and 10 females (76.92%). Their ages ranged from 37 to 68 years, with a mean age of (57.85±8.40) years and a median age of 59 years. Three (23.08%) patients had cough and sputum, while the others (76.92%) had no clinical symptoms. Before surgery, 6 patients underwent chest CT scans, and NPA changes in size, shape, and density were observed. Six cases (46.15%) were located in the left lung (4 in the upper lobe and 2 in the lower lobe), and 7 cases (53.85%) in the right lung (3 in the upper lobe, 2 in the middle lobe, and 2 in the lower lobe). Seven cases (53.85%) of NPA were round or oval, while 6 cases (46.15%) were irregularly shaped. Out of the NPA cases, 11 (84.62%) were solid nodules with well-defined boundaries, including 2 cases of solid nodules with surrounding calcification. In addition, 2 cases presented as solid nodules with cavities. Ten cases (76.92%) had multiple cystic lesions in the bilateral lungs, in which 7 cases had more than 10 cysts with obvious cyst walls, and 1 case showed a solid nodule on the cyst wall. During the postoperative follow-up, 1 patient experienced an increase in the size of the original nodule and the appearance of new solid nodules. Subsequent surgery revealed mucosal-associated lymphoid tissue lymphoma (MALT). The remaining patients were followed up regularly, and their conditions remained stable.</p><p><strong>Conclusions: </strong>NPA is more common in middle-aged and elderly people and is more likely to occur in women. Most cases are asymptomatic, and bilateral lungs can be involved. For nodules with multiple pulmonary cysts found by chest CT, the possibility of NPA should be considered, and further histopathologic examination is needed to confirm the diagnosis. Most patients with NPA have a good long-term prognosis after surgical resection, but some patients require further investigation and close follow-up due to underlying causes.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12369498/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796892","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":"Detection, Classification, and Segmentation of Rib Fractures From CT Data Using Deep Learning Models: A Review of Literature and Pooled Analysis.","authors":"Stella Den Hengst, Noor Borren, Esther M M Van Lieshout, Job N Doornberg, Theo Van Walsum, Mathieu M E Wijffels, Michael H J Verhofstad","doi":"10.1097/RTI.0000000000000833","DOIUrl":"10.1097/RTI.0000000000000833","url":null,"abstract":"<p><strong>Purpose: </strong>Trauma-induced rib fractures are common injuries. The gold standard for diagnosing rib fractures is computed tomography (CT), but the sensitivity in the acute setting is low, and interpreting CT slices is labor-intensive. This has led to the development of new diagnostic approaches leveraging deep learning (DL) models. This systematic review and pooled analysis aimed to compare the performance of DL models in the detection, segmentation, and classification of rib fractures based on CT scans.</p><p><strong>Materials and methods: </strong>A literature search was performed using various databases for studies describing DL models detecting, segmenting, or classifying rib fractures from CT data. Reported performance metrics included sensitivity, false-positive rate, F1-score, precision, accuracy, and mean average precision. A meta-analysis was performed on the sensitivity scores to compare the DL models with clinicians.</p><p><strong>Results: </strong>Of the 323 identified records, 25 were included. Twenty-one studies reported on detection, four on segmentation, and 10 on classification. Twenty studies had adequate data for meta-analysis. The gold standard labels were provided by clinicians who were radiologists and orthopedic surgeons. For detecting rib fractures, DL models had a higher sensitivity (86.7%; 95% CI: 82.6%-90.2%) than clinicians (75.4%; 95% CI: 68.1%-82.1%). In classification, the sensitivity of DL models for displaced rib fractures (97.3%; 95% CI: 95.6%-98.5%) was significantly better than that of clinicians (88.2%; 95% CI: 84.8%-91.3%).</p><p><strong>Conclusions: </strong>DL models for rib fracture detection and classification achieved promising results. With better sensitivities than clinicians for detecting and classifying displaced rib fractures, the future should focus on implementing DL models in daily clinics.</p><p><strong>Level of evidence: </strong>Level III-systematic review and pooled analysis.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12369507/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144129476","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":"CT Features for Prognostic Assessment of Pulmonary Mucormycosis in Patients With Hematological Diseases.","authors":"Huiming Yi, Shuping Zhang, Jieru Wang, Chunhui Xu, Donglin Yang, Qingsong Lin, Xiaoxue Wang, Sizhou Feng","doi":"10.1097/RTI.0000000000000832","DOIUrl":"10.1097/RTI.0000000000000832","url":null,"abstract":"<p><strong>Purpose: </strong>To explore the CT features in prognostic evaluations for pulmonary mucormycosis in patients with hematological diseases.</p><p><strong>Materials and methods: </strong>A retrospective analysis of clinical data and chest CT features of 53 HD patients with PM was conducted. Univariate and multivariate logistic regression analyses were used to determine the risk factors for death. The Cox regression model was used to analyze the factors affecting the survival rate.</p><p><strong>Results: </strong>A total of 30 patients with proven PM and 23 with probable PM were included. All 30 patients with proven PM underwent bronchoscopy-guided biopsy, among which 9 cases underwent surgical resection. Of the 23 patients with probable PM, 5 cases had positive results in sputum smear microscopy, 4 cases in sputum culture, 13 cases in bronchoalveolar lavage fluid (BALF) microscopy, and 1 case in BALF culture. All identification of pathogen genera and partial species was conducted by metagenomic next-generation sequencing (mNGS) testing. In the multivariate regression analysis, the CT feature of multiple lesions (≥2) on the initial CT scan was an independent risk factor for mortality ( P =0.019). Cox survival analysis demonstrated a significantly lower survival rate ( P =0.043) in patients exhibiting the CT feature of multiple lesions on the initial CT scan.</p><p><strong>Conclusions: </strong>The CT feature of multiple lesions (≥2) on the initial CT may serve as an independent risk factor for mortality in patients with hematologic disorders with pulmonary mucormycosis.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144182278","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":"Bridging the Gap Between Radiology and Microscopy Using microCT: Implications for Neoplastic and Non-neoplastic Lung Disease.","authors":"Stijn E Verleden, Annemiek Snoeckx, Dieter Peeters, Wen Wen, Reinier Wener, Paul Van Schil, Senada Koljenovic, Annelies Janssens, Danny D Jonigk, Maximilian Ackermann, Therese S Lapperre, Jeroen M H Hendriks","doi":"10.1097/RTI.0000000000000847","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000847","url":null,"abstract":"<p><strong>Purpose: </strong>Accurate lung cancer TNM staging depends on macroscopic and microscopic tumor evaluation of resection specimens. However, small nodules (<1 cm) are difficult to extract and correlate with in vivo imaging. We investigated whether microCT could better localize lesions or guide pathology to otherwise undetected abnormalities.</p><p><strong>Materials and methods: </strong>Paired ex vivo CT and microCT were performed after inflating and freezing surgically removed lung lobes (resolution 80 to 120 µm). Rigorous matching between CT, microCT, and histopathology was performed on areas containing abnormalities on microCT.</p><p><strong>Results: </strong>A total of 57 lobectomy specimens were analyzed. MicroCT-guided microscopic examination led to 2 additional primary carcinomas, 2 separate tumor nodules from the primary lung tumor, and 1 atypical adenomatous hyperplasia lesion that were not evident before surgery. For both patients with separate tumor nodules, the cT1 stage was upgraded to a pT3. In addition, the microCT provided insight into underlying structural disease (ie, emphysema and fibrosis).</p><p><strong>Conclusions: </strong>In 5 out of 57 resection specimens (9%), microCT showed additional (pre-)cancerous lesions. This explorative study suggests that lobar microCT could serve as a valuable guide for pathologists by pointing them toward areas that may warrant further investigation. In this way, it is a practical and beneficial tool, capable of facilitating a more precise TNM classification in tumor resection specimens, which needs further validation in a prospective study.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144976726","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":"Giant Metaplastic Thymoma With Extensive Calcification: A Rare Presentation.","authors":"Keisuke Todoroki, Satoshi Kawakami, Keiya Nagata, Kentaro Miura, Momoko Takizawa, Yasunari Fujinaga","doi":"10.1097/RTI.0000000000000845","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000845","url":null,"abstract":"","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838428","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":"In Memoriam: U. Joseph Schoepf, MD (1969-2025).","authors":"","doi":"10.1097/RTI.0000000000000843","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000843","url":null,"abstract":"","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144734977","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}