Radiology. Imaging cancer最新文献

{"title":"Extensive Intra-abdominal Rosai-Dorfman Disease in an Elderly Patient.","authors":"José Fernando Orlando, Sebastián Peláez, Tania Lozano, Tatiana López","doi":"10.1148/rycan.250505","DOIUrl":"10.1148/rycan.250505","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 1","pages":"e250505"},"PeriodicalIF":5.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865600/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145678314","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":"Quantitative PSMA PET Parameters as Prognostic Biomarkers in Patients with Metastatic Prostate Cancer Receiving Taxane-based Chemotherapy.","authors":"Farzana Z Ali","doi":"10.1148/rycan.259040","DOIUrl":"10.1148/rycan.259040","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 1","pages":"e259040"},"PeriodicalIF":5.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12862461/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145990585","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":"Association between Three-dimensional Margin Assessment and Local Tumor Control in Percutaneous Lung Cryoablation of Colorectal Metastases.","authors":"Frank Mohn, Koustav Pal, Caleb O'Connor, Iwan Paolucci, Austin Castelo, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Bruno C Odisio, Alda Lui Tam, Rahul A Sheth, Kristy K Brock","doi":"10.1148/rycan.250113","DOIUrl":"10.1148/rycan.250113","url":null,"abstract":"<p><p>Purpose To evaluate the association of two minimum ablation margin (MAM) estimation methods: manual three-dimensional segmentation and biomechanical deformable image registration (DIR) with local tumor progression-free survival (LTPFS) after percutaneous lung cryoablation of colorectal pulmonary metastases. Materials and Methods This retrospective single-institution study included patients who underwent percutaneous lung cryoablation between May 2012 and March 2023 (median follow-up, 3.6 years; range, 0.8-9.6 years). Manual three-dimensional MAM was calculated for all tumors, and DIR-based MAM was estimated in a subset with intraprocedural full-thorax imaging. Cox proportional hazards regression assessed associations between MAM and LTPFS. The primary outcome was 2-year LTPFS, with a secondary outcome of whether DIR-based MAM was associated with LTPFS. Results Thirty-eight patients (76 colorectal pulmonary metastases in 63 procedures; mean age, 58 years ± 12 [SD]; 19 female patients) were included. Technical success was 100% (63 of 63). Per-lesion LTPFS at 1 and 2 years was 87% and 84%. Five tumors (6.6%; five of 76) had no margin (0 mm), 55 tumors (72%; 55 of 76) had a MAM 0-5 mm, and 16 (21%; 16 of 76) had an MAM greater than 5 mm. Median LTPFS was 6 months for the 0-mm group and was not reached for the MAM 0-5-mm and the greater than 5-mm groups (<i>P</i> < .001). Receiver operating characteristic analysis for 2-year local progression yielded an area under the receiver operating characteristic curve (AUC) of 0.81 (95% CI: 0.62, 0.95). Among 36 tumors (22 patients) with full-lung imaging available, the DIR-based MAM had an AUC of 0.76 (95% CI: 0.55, 0.98), and the manual method had an AUC of 0.79 (95% CI: 0.52, 1.00). At multivariable analysis, MAM greater than 0-5 mm (hazard ratio [HR], 0.05; <i>P</i> < .001), MAM greater than 5 mm (hazard ratio, 0.03; <i>P</i> = .005), and ablation volume (hazard ratio, 0.93; <i>P</i> < .001) were independently associated with reduced LTP. Conclusion Quantitative MAMs are strongly associated with LTPFS, underscoring the importance of achieving adequate margins in percutaneous lung cryoablation. <b>Keywords:</b> Pulmonary Cryoablation, Deformable Image Registration, Colorectal Cancer, Pulmonary Metastasis, Minimum Ablation Margin © RSNA, 2026.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 1","pages":"e250113"},"PeriodicalIF":5.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865602/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893263","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":"CT-derived Body Composition Radiomics to Predict Early Recurrence in Intrahepatic Cholangiocarcinoma.","authors":"Yashbir Singh","doi":"10.1148/rycan.259039","DOIUrl":"10.1148/rycan.259039","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 1","pages":"e259039"},"PeriodicalIF":5.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12862460/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145893211","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":"Cinematic Rendering of Thymoma Causing Superior Vena Cava Syndrome.","authors":"Zhendong Luo, Xinping Shen","doi":"10.1148/rycan.250532","DOIUrl":"10.1148/rycan.250532","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 1","pages":"e250532"},"PeriodicalIF":5.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12869303/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145794677","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":"Zero-Shot PI-RADS Version 2.1 Scoring with ChatGPT-4 Turbo and Llama 3: Diagnostic Performance and Agreement with Abdominal Radiologists.","authors":"Negar Firoozeh, Domenico Mastrodicasa, Spencer Behr, Valdair Francisco Muglia, Antonio C Westphalen","doi":"10.1148/rycan.250119","DOIUrl":"10.1148/rycan.250119","url":null,"abstract":"<p><p>This retrospective, single-center study aimed to assess the diagnostic performance and agreement of two large language models (LLMs), ChatGPT-4 Turbo (OpenAI) and Llama 3 (Meta AI), in assigning Prostate Imaging Reporting and Data System (PI-RADS) scores to prostate MRI reports and to compare their performance with two abdominal radiologists. Structured prostate MRI reports (<i>n</i> = 500) obtained between January and December 2022, with original PI-RADS scores removed, were processed with LLMs using a standardized prompt to extract PI-RADS version 2.1 scores. Two abdominal radiologists independently assigned scores, with a third adjudicating discrepancies. Prostate biopsy results served as the reference standard for diagnostic performance assessment. There was high agreement between both models and radiologists: ChatGPT-4 Turbo and Llama 3 achieved 97.7% agreement (κ = 0.95), agreement between the LLM and radiologists ranged from 94.7% to 95.7% (κ = 0.89-0.91), and interradiologist agreement was 94.4% (κ = 0.88). ChatGPT-4 Turbo assigned significantly higher scores than radiologists (<i>P</i> < .005), while differences with Llama 3 were not statistically significant (<i>P</i> = .08). ChatGPT-4 Turbo and the original MRI reports achieved an area under the receiver operating characteristic curve (AUC) of 0.79 for predicting prostate cancer, and radiologists and Llama 3 achieved AUCs of 0.78 each. These results suggest that LLMs could improve prostate MRI reporting through accurate and consistent PI-RADS scoring. <b>Keywords:</b> Prostate, Oncology, Large Language Model <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 1","pages":"e250119"},"PeriodicalIF":5.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12862468/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145678351","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":"The SCARLET Trial: Radiotheranostics in Multiple Myeloma.","authors":"Sanchay Jain, Michael M Graham","doi":"10.1148/rycan.259036","DOIUrl":"10.1148/rycan.259036","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 6","pages":"e259036"},"PeriodicalIF":5.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12670027/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145565237","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":"Monitoring Triple-Negative Breast Cancer with a Trop2-targeted Peptide PET Probe.","authors":"Barish H Edil, Happy Agarwal, Muthuvel Panneerselvam, Lacey R McNally","doi":"10.1148/rycan.259035","DOIUrl":"10.1148/rycan.259035","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 6","pages":"e259035"},"PeriodicalIF":5.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12670014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145565145","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":"Synergistic Breakthroughs in Quantitative Neuro-oncologic MRI-toward a Stable and Comprehensive Clinical Tool.","authors":"Yifang Bao, Yuxin Li","doi":"10.1148/rycan.250534","DOIUrl":"10.1148/rycan.250534","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 6","pages":"e250534"},"PeriodicalIF":5.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12670038/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145459605","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":"Persistent Disparities Across Age, Race, and Ethnicity Revealed in Recent Report on U.S. Breast Cancer Mortality Trends.","authors":"Semira Sherief, Tatiana Kelil","doi":"10.1148/rycan.259032","DOIUrl":"10.1148/rycan.259032","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 6","pages":"e259032"},"PeriodicalIF":5.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12670010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145565232","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}