Radiology. Imaging cancer最新文献

{"title":"MRI-guided Stereotactic Ablative Radiotherapy versus CT-guided Irreversible Electroporation in Advanced Pancreatic Cancer: Insights from the CROSSFIRE Trial.","authors":"Yuan-Mao Lin","doi":"10.1148/rycan.249010","DOIUrl":"10.1148/rycan.249010","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148833/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141180270","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":"Clarification of Concerns about the Demographic Composition of The Cancer Imaging Archive.","authors":"Janet F Eary, Lalitha K Shankar, John Freymann, Justin Kirby","doi":"10.1148/rycan.240098","DOIUrl":"10.1148/rycan.240098","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148829/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141180116","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":"Editor's Recognition Awards.","authors":"Gary D Luker","doi":"10.1148/rycan.240056","DOIUrl":"10.1148/rycan.240056","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":4.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140132461","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":"It's Complicated: Managing Nonmass Enhancement Found at Breast MRI in Patients with Newly Diagnosed Cancer.","authors":"Mary S Newell","doi":"10.1148/rycan.240003","DOIUrl":"10.1148/rycan.240003","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988333/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139672532","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 Prevalence and Radiologic Features of Renal Cancers Associated with <i>FLCN, BAP1, SDH</i>, and <i>MET</i> Germline Mutations.","authors":"Charlotte Charbel, Pamela I Causa Andrieu, Mohamed Soliman, Sungmin Woo, Junting Zheng, Marinela Capanu, Ines Nikolovski, Hebert A Vargas, Murad Abusamra, Maria I Carlo","doi":"10.1148/rycan.230063","DOIUrl":"10.1148/rycan.230063","url":null,"abstract":"<p><p>Purpose To investigate the prevalence of <i>FLCN, BAP1, SDH</i>, and <i>MET</i> mutations in an oncologic cohort and determine the prevalence, clinical features, and imaging features of renal cell carcinoma (RCC) associated with these mutations. Secondarily, to determine the prevalence of encountered benign renal lesions. Materials and Methods From 25 220 patients with cancer who prospectively underwent germline analysis with a panel of more than 70 cancer-predisposing genes from 2015 to 2021, patients with <i>FLCN, BAP1, SDH</i>, or <i>MET</i> mutations were retrospectively identified. Clinical records were reviewed for patient age, sex, race/ethnicity, and renal cancer diagnosis. If RCC was present, baseline CT and MRI examinations were independently assessed by two radiologists. Summary statistics were used to summarize continuous and categorical variables by mutation. Results A total of 79 of 25 220 (0.31%) patients had a germline mutation: <i>FLCN</i>, 17 of 25 220 (0.07%); <i>BAP1</i>, 22 of 25 220 (0.09%); <i>SDH</i>, 39 of 25 220 (0.15%); and <i>MET</i>, one of 25 220 (0.004%). Of these 79 patients, 18 (23%) were diagnosed with RCC (<i>FLCN</i>, four of 17 [24%]; <i>BAP1</i>, four of 22 [18%]; <i>SDH</i>, nine of 39 [23%]; <i>MET</i>, one of one [100%]). Most hereditary RCCs demonstrated ill-defined margins, central nonenhancing area (cystic or necrotic), heterogeneous enhancement, and various other CT and MR radiologic features, overlapping with the radiologic appearance of nonhereditary RCCs. The prevalence of other benign solid renal lesions (other than complex cysts) in patients was up to 11%. Conclusion <i>FLCN, BAP1, SDH</i>, and <i>MET</i> mutations were present in less than 1% of this oncologic cohort. Within the study sample size limits, imaging findings for hereditary RCC overlapped with those of nonhereditary RCC, and the prevalence of other associated benign solid renal lesions (other than complex cysts) was up to 11%. <b>Keywords:</b> Familial Renal Cell Carcinoma, Birt-Hogg-Dubé Syndrome, Carcinoma, Renal Cell, Paragangliomas, Urinary, Kidney © RSNA, 2024.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988346/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140060372","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":"Impact of PI-RADS Upgrading Rules on Prostate Cancer Detection and Biopsy Decision-Making.","authors":"Yuan-Mao Lin","doi":"10.1148/rycan.249006","DOIUrl":"10.1148/rycan.249006","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988339/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140132464","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":"Differentiating Benign from Malignant Cystic Renal Masses using CT Texture-based Machine Learning Algorithms.","authors":"Anupama Ramachandran","doi":"10.1148/rycan.249007","DOIUrl":"10.1148/rycan.249007","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988326/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140185369","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":"Percutaneous Microwave Ablation for Treatment of Retroperitoneal Tumors.","authors":"Annika E Rossebo, Annie M Zlevor, Emily A Knott, Lu Mao, Allison B Couillard, Timothy J Ziemlewicz, J Louis Hinshaw, E Jason Abel, Meghan G Lubner, Erica M Knavel Koepsel, Shane A Wells, Lindsay M Stratchko, Paul F Laeseke, Fred T Lee","doi":"10.1148/rycan.230080","DOIUrl":"10.1148/rycan.230080","url":null,"abstract":"<p><p>Purpose To determine if microwave ablation (MWA) of retroperitoneal tumors can safely provide high rates of local tumor control. Materials and Methods This retrospective study included 19 patients (median age, 65 years [range = 46-78 years]; 13 [68.4%] men and six [31.6%] women) with 29 retroperitoneal tumors treated over 22 MWA procedures. Hydrodissection (0.9% saline with 2% iohexol) was injected in 17 of 22 (77.3%) procedures to protect nontarget anatomy. The primary outcomes evaluated were local tumor progression (LTP) and complication rates. Oncologic outcomes, including overall survival (OS), progression-free survival (PFS), and treatment-free interval (TFI), were examined as secondary outcome measures. Results Median follow-up was 18 months (range = 0.5-113). Hydrodissection was successful in displacing nontarget anatomy in 16 of 17 (94.1%) procedures. The LTP rate was 3.4% (one of 29; 95% CI: 0.1, 17.8) per tumor and 5.3% (one of 19; 95% CI: 0.1, 26.0) per patient. The overall complication rate per patient was 15.8% (three of 19), including two minor complications and one major complication. The OS rate at 1, 2, and 3 years was 81.8%, 81.8%, and 72.7%, respectively, with a median OS estimated at greater than 7 years. There was no evidence of a difference in OS (<i>P</i> = .34) and PFS (<i>P</i> = .56) between patients with renal cell carcinoma (six of 19 [31.6%]) versus other tumors (13 of 19 [68.4%]) and patients treated with no evidence of disease (15 of 22 [68.2%]) versus patients with residual tumors (seven of 22 [31.8%]). Median TFI was 18 months (range = 0.5-108). Conclusion Treatment of retroperitoneal tumors with MWA combined with hydrodissection provided high rates of local control, prolonged systemic therapy-free intervals, and few serious complications. <b>Keywords:</b> Ablation Techniques (ie, Radiofrequency, Thermal, Chemical), Retroperitoneum, Microwave Ablation, Hydrodissection © RSNA, 2024.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988338/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139707640","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":"Highlighting the Benefits and Disadvantages of Individual Participant Data Meta-Analysis in Radiology.","authors":"Andre L F Costa, Sérgio L P C Lopes","doi":"10.1148/rycan.240018","DOIUrl":"10.1148/rycan.240018","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988325/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140060371","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":"Evaluating the Use of ChatGPT to Accurately Simplify Patient-centered Information about Breast Cancer Prevention and Screening.","authors":"Hana L Haver, Anuj K Gupta, Emily B Ambinder, Manisha Bahl, Eniola T Oluyemi, Jean Jeudy, Paul H Yi","doi":"10.1148/rycan.230086","DOIUrl":"10.1148/rycan.230086","url":null,"abstract":"<p><p>Purpose To evaluate the use of ChatGPT as a tool to simplify answers to common questions about breast cancer prevention and screening. Materials and Methods In this retrospective, exploratory study, ChatGPT was requested to simplify responses to 25 questions about breast cancer to a sixth-grade reading level in March and August 2023. Simplified responses were evaluated for clinical appropriateness. All original and simplified responses were assessed for reading ease on the Flesch Reading Ease Index and for readability on five scales: Flesch-Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, Automated Readability Index, and the Simple Measure of Gobbledygook (ie, SMOG) Index. Mean reading ease, readability, and word count were compared between original and simplified responses using paired <i>t</i> tests. McNemar test was used to compare the proportion of responses with adequate reading ease (score of 60 or greater) and readability (sixth-grade level). Results ChatGPT improved mean reading ease (original responses, 46 vs simplified responses, 70; <i>P</i> < .001) and readability (original, grade 13 vs simplified, grade 8.9; <i>P</i> < .001) and decreased word count (original, 193 vs simplified, 173; <i>P</i> < .001). Ninety-two percent (23 of 25) of simplified responses were considered clinically appropriate. All 25 (100%) simplified responses met criteria for adequate reading ease, compared with only two of 25 original responses (<i>P</i> < .001). Two of the 25 simplified responses (8%) met criteria for adequate readability. Conclusion ChatGPT simplified answers to common breast cancer screening and prevention questions by improving the readability by four grade levels, though the potential to produce incorrect information necessitates physician oversight when using this tool. <b>Keywords:</b> Mammography, Screening, Informatics, Breast, Education, Health Policy and Practice, Oncology, Technology Assessment <i>Supplemental material is available for this article.</i> © RSNA, 2023.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988327/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139672531","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}