Radiology. Imaging cancer最新文献

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From Precise Segmentation to Scalable Annotation: A Critical Step Toward Clinical Translation of Multisequence MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma. 从精确分割到可扩展注释:多序列MRI预测肝细胞癌微血管侵袭临床翻译的关键一步。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.260068
Zhibin Huang, Fajin Dong
{"title":"From Precise Segmentation to Scalable Annotation: A Critical Step Toward Clinical Translation of Multisequence MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma.","authors":"Zhibin Huang, Fajin Dong","doi":"10.1148/rycan.260068","DOIUrl":"10.1148/rycan.260068","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e260068"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147366208","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}
引用次数: 0
Retroperitoneal Fetus in Fetu. 腹膜后胎儿。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.250723
Jun Guo, Xian-Zheng Tan
{"title":"Retroperitoneal Fetus in Fetu.","authors":"Jun Guo, Xian-Zheng Tan","doi":"10.1148/rycan.250723","DOIUrl":"10.1148/rycan.250723","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e250723"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036686/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147309530","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}
引用次数: 0
Erratum for: Evaluation, Optimization, and Validation of a Multiparametric CT Algorithm for Solid Renal Masses: CT-Score Version 2.0. 对实性肾肿块的多参数CT算法的评估、优化和验证:CT- score 2.0版的勘误。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.269005
Satheesh Krishna, Mayooran Kandasamy, Rajesh Bhayana, Bipin Nanda, Kanika Diwan, Ameen Kamona, Sabah Sairafi, Susan Prendeville, Yangqing Deng, Antonio Finelli, Matthew S Davenport, Nicola Schieda
{"title":"Erratum for: Evaluation, Optimization, and Validation of a Multiparametric CT Algorithm for Solid Renal Masses: CT-Score Version 2.0.","authors":"Satheesh Krishna, Mayooran Kandasamy, Rajesh Bhayana, Bipin Nanda, Kanika Diwan, Ameen Kamona, Sabah Sairafi, Susan Prendeville, Yangqing Deng, Antonio Finelli, Matthew S Davenport, Nicola Schieda","doi":"10.1148/rycan.269005","DOIUrl":"10.1148/rycan.269005","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e269005"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036673/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147487177","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}
引用次数: 0
Prospective Head-to-Head Comparison of 18F-FDG and 68Ga-FAPI PET/CT in De Novo and Recurrent Epstein-Barr Virus-associated Nasopharyngeal Carcinoma. 18F-FDG和68Ga-FAPI PET/CT在新发和复发爱泼斯坦-巴尔病毒相关鼻咽癌中的前瞻性头部比较
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.250437
Bingxin Gu, Shuyi Lin, Liyan Bai, Chaosu Hu, Xiaomin Ou, Zhongyi Yang, Shaoli Song
{"title":"Prospective Head-to-Head Comparison of <sup>18</sup>F-FDG and <sup>68</sup>Ga-FAPI PET/CT in De Novo and Recurrent Epstein-Barr Virus-associated Nasopharyngeal Carcinoma.","authors":"Bingxin Gu, Shuyi Lin, Liyan Bai, Chaosu Hu, Xiaomin Ou, Zhongyi Yang, Shaoli Song","doi":"10.1148/rycan.250437","DOIUrl":"10.1148/rycan.250437","url":null,"abstract":"<p><p>Purpose To compare gallium 68 (<sup>68</sup>Ga) fibroblast activation protein inhibitor (FAPI) PET/CT with plasma Epstein-Barr virus (EBV)-DNA load measurement, contrast-enhanced MRI/CT, and fluorine 18 (<sup>18</sup>F) fluorodeoxyglucose (FDG) PET/CT for nasopharyngeal carcinoma (NPC) initial assessment and recurrence surveillance. Materials and Methods Participants with NPC who underwent both <sup>18</sup>F-FDG and <sup>68</sup>Ga-FAPI PET/CT examinations within 1 week for initial assessment (treatment-naive cohort) and recurrence surveillance (posttreatment cohort) were enrolled in this prospective study conducted between July 2020 and November 2023 (Chinese Clinical Trial Registry identifier no. ChiCTR2100054163). The data of plasma EBV DNA load and contrast-enhanced MRI/CT were analyzed. Diagnostic performance was compared using the McNemar test. The relationships between plasma EBV DNA and the two tracers were assessed by using simple linear regression analysis. Results Sixty-five participants (median age, 50 years [IQR, 41.50-61 years]; 50 male) were included, with 31 in the treatment-naive cohort and 34 in the posttreatment cohort. In participant-level analysis, <sup>68</sup>Ga-FAPI PET/CT demonstrated the highest accuracy rate in identifying the participants with de novo (100% [31 of 31] vs 84% [26 of 31], 77% [24 of 31], and 84% [26 of 31], <i>P</i> = .06, .02, and .06, respectively) and recurrent (94% [32 of 34] vs 53% [18 of 34], 68% [23 of 34], and 85% [29 of 34], <i>P</i> = .001, .02, and .25, respectively) NPC, compared with plasma EBV DNA, contrast-enhanced MRI/CT, and <sup>18</sup>F-FDG PET/CT. Furthermore, compared with contrast-enhanced MRI/CT and <sup>18</sup>F-FDG PET/CT, <sup>68</sup>Ga-FAPI PET/CT led to upstaging in five of 31 (16%) and downstaging in four of 31 (13%) treatment-naive participants. Lesion uptake at <sup>68</sup>Ga-FAPI PET/CT did not correlate with plasma EBV DNA load (<i>P</i> > .05). Conclusion <sup>68</sup>Ga-FAPI PET/CT outperformed plasma EBV DNA level, contrast-enhanced MRI/CT, and <sup>18</sup>F-FDG PET/CT in initial assessment and recurrence surveillance of NPC. <b>Keywords:</b> Head/Neck, PET/CT, Nasopharyngeal Carcinoma, Epstein-Barr Virus, Fibroblast Activation Protein Inhibitor, FDG Chinese Clinical Trial Registry identifier no. ChiCTR2100054163 <i>Supplemental material is available for this article.</i> © RSNA, 2026.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e250437"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146258979","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}
引用次数: 0
Lymph Node Metastases Prediction in Cervical Cancer Using Time-Dependent Diffusion MRI and Macromolecular Proton Fraction Imaging. 时间依赖扩散MRI和大分子质子分数成像预测宫颈癌淋巴结转移。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.250452
Nan Meng, Jiayin Pan, Wei Wei, Jing Sun, Bo Dai, Yan Wang, Xuan Yu, Wanyue Li, Baiyan Jiang, Jian Hou, Weitian Chen, Meiyun Wang
{"title":"Lymph Node Metastases Prediction in Cervical Cancer Using Time-Dependent Diffusion MRI and Macromolecular Proton Fraction Imaging.","authors":"Nan Meng, Jiayin Pan, Wei Wei, Jing Sun, Bo Dai, Yan Wang, Xuan Yu, Wanyue Li, Baiyan Jiang, Jian Hou, Weitian Chen, Meiyun Wang","doi":"10.1148/rycan.250452","DOIUrl":"10.1148/rycan.250452","url":null,"abstract":"<p><p>Purpose To examine whether time-dependent diffusion MRI (T<sub>d</sub>-dMRI) and macromolecular proton fraction (MPF) mapping-derived quantitative metrics can effectively distinguish between cervical cancer with and without lymph node metastasis (LNM) before treatment. Materials and Methods In this prospective study of adults with clinically suspected cervical cancer who underwent T<sub>d</sub>-dMRI, MPF mapping, and pulsed gradient spin-echo diffusion-weighted imaging (DWI<sub>PGSE</sub>) examinations between October 2023 and June 2025, authors calculated T<sub>d</sub>-dMRI-derived parameters (cellularity, diameter, intracellular volume fraction [V<sub>in</sub>], and extracellular diffusivity [D<sub>ex</sub>]), MPF, and DWI<sub>PGSE</sub>-derived parameter (pulsed gradient spin-echo apparent diffusion coefficient [ADC<sub>PGSE</sub>]). Through Ridge regression analysis, the authors identified independent predictors of LNM and developed a composite diagnostic tool using logistic regression analysis. To evaluate tool performance, the area under the receiver operating characteristic curve was determined. Results Among 98 female individuals with cervical cancer (mean age, 56.69 years ± 11.63 [SD]), participants who were LNM positive exhibited higher cellularity, V<sub>in</sub>, and MPF but lower diameter, D<sub>ex</sub>, and ADC<sub>PGSE</sub> than their counterparts who were LNM negative (<i>P</i> < .001 to <i>P</i> = .007). Cellularity, maximum tumor diameter, and MPF were independent predictors of LNM status, with their combination yielding the best diagnostic performance (area under the receiver operating characteristic curve, 0.95; 95% CI: 0.89, 0.98). The performance of this combination surpassed that of individual imaging modality, including DWI<sub>PGSE</sub> (ADC<sub>PGSE</sub>), and MPF, as well as any individual parameter, including cellularity, V<sub>in</sub>, diameter, and D<sub>ex</sub>. Conclusion T<sub>d</sub>-dMRI and MPF mapping were effective for predicting LNM in cervical cancer, with the combination of cellularity, maximum tumor diameter, and MPF showing the best diagnostic performance. <b>Keywords:</b> Time-Dependent Diffusion MRI, Macromolecular Proton Fraction, Cervical Cancer, Lymph Node Metastases © RSNA, 2026.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e250452"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036659/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147309559","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}
引用次数: 0
Software-specific A0 Thresholds for Minimum Ablative Margins after Liver Tumor Thermal Ablation: A Large-Scale Simulation Study. 肝肿瘤热消融后最小消融边界的软件特异性A0阈值:一项大规模模拟研究。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.269006
Fiona Mankertz
{"title":"Software-specific A0 Thresholds for Minimum Ablative Margins after Liver Tumor Thermal Ablation: A Large-Scale Simulation Study.","authors":"Fiona Mankertz","doi":"10.1148/rycan.269006","DOIUrl":"10.1148/rycan.269006","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e269006"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147487121","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}
引用次数: 0
AI and Breast Cancer Screening at a Crossroads: Insights from the MASAI Trial. 十字路口的人工智能和乳腺癌筛查:来自MASAI试验的见解。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.269007
Andrea Cozzi
{"title":"AI and Breast Cancer Screening at a Crossroads: Insights from the MASAI Trial.","authors":"Andrea Cozzi","doi":"10.1148/rycan.269007","DOIUrl":"10.1148/rycan.269007","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e269007"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036691/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147532302","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}
引用次数: 0
Spectral CT Electron Density Mapping for Lung Biopsy Targeting. 肺活检靶的光谱CT电子密度成像。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.250778
Yingying Hu, Hongliang Sun
{"title":"Spectral CT Electron Density Mapping for Lung Biopsy Targeting.","authors":"Yingying Hu, Hongliang Sun","doi":"10.1148/rycan.250778","DOIUrl":"10.1148/rycan.250778","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e250778"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036672/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147532333","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}
引用次数: 0
Molecular Imaging of Hepatocellular Carcinoma with Third-Generation US Contrast Agents: Toward Clinical Translation. 第三代美国造影剂对肝细胞癌的分子成像:临床转化。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.260025
Jinshun Xu
{"title":"Molecular Imaging of Hepatocellular Carcinoma with Third-Generation US Contrast Agents: Toward Clinical Translation.","authors":"Jinshun Xu","doi":"10.1148/rycan.260025","DOIUrl":"10.1148/rycan.260025","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e260025"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036671/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147366188","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}
引用次数: 0
Intrahepatic Splenosis Mimicking Hepatocellular Carcinoma. 肝内脾肿大模拟肝细胞癌。
IF 5.6
Radiology. Imaging cancer Pub Date : 2026-03-01 DOI: 10.1148/rycan.250444
Hui-Hui Zhang, Xian-Zheng Tan
{"title":"Intrahepatic Splenosis Mimicking Hepatocellular Carcinoma.","authors":"Hui-Hui Zhang, Xian-Zheng Tan","doi":"10.1148/rycan.250444","DOIUrl":"10.1148/rycan.250444","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"8 2","pages":"e250444"},"PeriodicalIF":5.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036676/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147366257","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}
引用次数: 0
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