Radiology. Imaging cancer最新文献

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Benign and Malignant Breast Lesions: Differentiation Using Microstructural Metrics Derived from Time-Dependent Diffusion MRI. 良性和恶性乳腺病变:鉴别使用显微结构指标衍生的时间依赖扩散MRI。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.240287
Yun Su, Ya Qiu, Xingke Huang, Yuqin Peng, Zehong Yang, Miamiao Ding, Lanxin Hu, Yishi Wang, Chen Zhao, Wenshu Qian, Xiang Zhang, Jun Shen
{"title":"Benign and Malignant Breast Lesions: Differentiation Using Microstructural Metrics Derived from Time-Dependent Diffusion MRI.","authors":"Yun Su, Ya Qiu, Xingke Huang, Yuqin Peng, Zehong Yang, Miamiao Ding, Lanxin Hu, Yishi Wang, Chen Zhao, Wenshu Qian, Xiang Zhang, Jun Shen","doi":"10.1148/rycan.240287","DOIUrl":"10.1148/rycan.240287","url":null,"abstract":"<p><p>Purpose To investigate the diagnostic performance of microstructural metrics from time-dependent diffusion MRI (T<sub>d</sub>-dMRI) in distinguishing between benign and malignant breast lesions. Materials and Methods This prospective study (ClinicalTrials.gov identifier: NCT05373628) enrolled participants with breast lesions confirmed with US, mammography, or both from January 2022 to June 2023. Participants underwent oscillating and pulsed gradient encoded T<sub>d</sub>-dMRI and conventional diffusion-weighted imaging (DWI). T<sub>d</sub>-dMRI data were fitted using the imaging microstructural parameters using limited spectrally edited diffusion model. Lesions were classified as benign or malignant based on pathology. Diagnostic performances of T<sub>d</sub>-dMRI metrics and apparent diffusion coefficients (ADCs) from DWI in distinguishing between benign and malignant tumors were assessed using receiver operating characteristic analysis and compared using the DeLong test. Results The study included 102 female participants (mean age: 48 years ± 12 [SD]) with 105 breast lesions (three participants had two lesions), including 31 benign and 74 malignant lesions. The cell diameter, cell density, and intracellular volume fraction from T<sub>d</sub>-dMRI were higher and the ADC was lower in malignant lesions compared with benign lesions (<i>P</i> < .001 to <i>P</i> = .001). Among microstructural metrics from T<sub>d</sub>-dMRI, the cell density had the highest area under the receiver operating characteristic curve, which was higher than that of the ADC (0.93 [95% CI: 0.88, 0.98] vs 0.79 [95% CI: 0.70, 0.88], <i>P</i> = .03). Conclusion A single microstructural metric derived from T<sub>d</sub>-dMRI, cell density, had higher performance than conventional ADC in distinguishing benign and malignant breast lesions. <b>Keywords:</b> MR-Diffusion Weighted Imaging, Breast Clinical trial registration no. NCT05373628 <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e240287"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144014135","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
Beyond Conventional CT: Role of Dual-Energy CT in Monitoring Response to Therapy in Abdominal Malignancies. 超越常规CT:双能CT在监测腹部恶性肿瘤治疗反应中的作用。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.240142
Ali Pourvaziri, Nayla Mroueh, Rory L Cochran, Shravya Srinivas Rao, Avinash Kambadakone
{"title":"Beyond Conventional CT: Role of Dual-Energy CT in Monitoring Response to Therapy in Abdominal Malignancies.","authors":"Ali Pourvaziri, Nayla Mroueh, Rory L Cochran, Shravya Srinivas Rao, Avinash Kambadakone","doi":"10.1148/rycan.240142","DOIUrl":"10.1148/rycan.240142","url":null,"abstract":"<p><p>In the era of precision medicine, imaging plays a critical role in evaluating treatment response to various oncologic therapies. For decades, conventional morphologic assessments using cross-sectional imaging have been the standard for monitoring the effectiveness of systemic and locoregional therapies in patients with cancer. However, the development of new functional imaging tools has widened the scope of imaging from mere response assessment to patient selection and outcome prediction. Dual-energy CT (DECT), known for its superior material differentiation capabilities, shows promise in enhancing treatment response evaluation. DECT-based iodine quantification methods are increasingly being investigated as surrogates for assessing tumor vascularity and physiology, which is particularly important in patients undergoing emerging targeted therapies. The purpose of this review article is to discuss the current and emerging role of DECT in assessing treatment response in patients with malignant abdominal tumors. <b>Keywords:</b> CT-Dual Energy, Transcatheter Tumor Therapy, Tumor Response, Iodine Uptake, Therapeutic Response © RSNA, 2025.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e240142"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130700/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144014137","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
Accuracy of Post-Neoadjuvant Therapy MRI for the Assessment of Anal Sphincter Involvement in Patients with Rectal Cancer. 新辅助治疗后MRI评估直肠癌患者肛门括约肌受累的准确性。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.240208
Maria El Homsi, Louis Fuqua, Tae-Hyung Kim, Maria Clara Fernandes, Jinru Shia, Maria Widmar, Charlie White, Marinela Capanu, Lee Rodriguez, Iva Petkovska
{"title":"Accuracy of Post-Neoadjuvant Therapy MRI for the Assessment of Anal Sphincter Involvement in Patients with Rectal Cancer.","authors":"Maria El Homsi, Louis Fuqua, Tae-Hyung Kim, Maria Clara Fernandes, Jinru Shia, Maria Widmar, Charlie White, Marinela Capanu, Lee Rodriguez, Iva Petkovska","doi":"10.1148/rycan.240208","DOIUrl":"10.1148/rycan.240208","url":null,"abstract":"<p><p>Purpose To assess the accuracy of post-neoadjuvant therapy (NAT) MRI, as compared with that of pathologic evaluation, to determine anal sphincter involvement in patients with rectal cancer. Materials and Methods This retrospective study included patients diagnosed with rectal cancer between January 2015 and December 2017 whose baseline MRI showed anal sphincter involvement and who then underwent NAT, post-NAT MRI, and abdominoperineal resection. Four radiologists (with 20 years, 5 years, 2 years, and 1 year of experience) independently reviewed MRI findings. Resected specimens were reviewed by a gastrointestinal pathologist. Interreader agreement between the radiologists and pathologist was assessed using the Cohen κ statistic. Conditional sensitivity, specificity, and positive predictive value (PPV) of the radiologists were calculated among patients for whom the radiologists and the pathologist agreed that the anal canal was involved. Results Thirty-two patients were included (mean age ± SD, 60 years ± 15; 19 male, 13 female). For the post-NAT assessment of anal sphincter involvement, agreement between readers 1, 2, and 4 and the pathologist was moderate (κ = 0.55 [95% CI: 0.18, 0.91], 0.45 [95% CI: -0.06, 0.82], and 0.53 [95% CI: 0, 0.89], respectively). There was fair agreement between reader 3 and the pathologist (κ = 0.30 [95% CI: -0.09, 0.67]). Radiologists had high sensitivity for the detection of anal sphincter involvement (88%-100%), high PPV (88%-96%), and moderate to high specificity (50%-80%); the senior radiologist had the highest sensitivity, PPV, and specificity. Conclusion Radiologists had fair to moderate interreader agreement with the pathologist for post-NAT assessment of anal sphincter involvement in patients with rectal cancer and showed high conditional sensitivity regardless of their level of experience. <b>Keywords:</b> Abdomen/GI, Rectum, Oncology, Post-Neoadjuvant Therapy MRI <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e240208"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144009495","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
Deep Learning-based Anatomy-Aware Morph Model for Registration of Prostate Whole-Mount Histopathology to MRI. 基于深度学习的前列腺全载组织病理与MRI配准的解剖感知形态模型。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.240336
Fatemeh Zabihollahy, Holden H Wu, Anthony E Sisk, Robert E Reiter, Steven S Raman, Neil E Fleshner, George M Yousef, KyungHyun Sung
{"title":"Deep Learning-based Anatomy-Aware Morph Model for Registration of Prostate Whole-Mount Histopathology to MRI.","authors":"Fatemeh Zabihollahy, Holden H Wu, Anthony E Sisk, Robert E Reiter, Steven S Raman, Neil E Fleshner, George M Yousef, KyungHyun Sung","doi":"10.1148/rycan.240336","DOIUrl":"10.1148/rycan.240336","url":null,"abstract":"<p><p>Purpose To develop and evaluate a novel deep learning-based approach for registering presurgical MR and whole-mount histopathology (WMHP) images of the prostate. Materials and Methods This retrospective study included patients who underwent prostate MRI before radical prostatectomy between July 2016 and June 2020. High-resolution ex vivo MRI was used as a reference to assess the structural relationship between in vivo MRI and WMHP. An Anatomy-Aware Morph model, a hybrid attention and convolutional neural network-based approach, was developed for multimodality prostate image registration. The pipeline included a module to estimate and correct distortion and motion between the prostate specimen and outside the human body. The dataset was divided into 270 and 45 patients for training and testing, respectively. Registration accuracy was evaluated using Dice similarity coefficient (DSC), Hausdorff distance, and target registration error. Results The proposed approach was validated using 160 images extracted from 45 male patients in the testing dataset with the average age ± SD of 64.0 years ± 6.6. The method achieved a DSC and Hausdorff distance of 0.95 ± 0.06 and 1.84 mm ± 0.38. The two-dimensional target registration errors between 90 sets of landmarks on in vivo MR images and WMHP images were 3.93 mm ± 0.80 and 1.18 mm ± 0.28 before and after registration (<i>P</i> < .001). The developed algorithm significantly outperformed the state-of-the-art VoxelMorph method for multimodality prostate image registration (<i>P</i> < .0001 for both DSC and Hausdorff distance). Conclusion The developed registration method successfully aligned presurgical prostate MR and histopathology images, facilitating automated mapping of prostate cancer from WMHP to MRI. <b>Keywords:</b> Affine Transformation, Deformable Registration, Prostate Magnetic Resonance Imaging, Prostate Whole-Mount Histopathology <i>Supplemental material is available for this article.</i> © RSNA, 2025.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e240336"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144187835","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
Phyllodes Tumor with Skull and Mediastinal Osteosarcomatous Metastases. 叶状瘤伴颅骨和纵隔骨肉瘤转移。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.250028
Matheus H Taborda, Nathalia Luiza Ferri Bonmann, Dante Luiz Escuissato
{"title":"Phyllodes Tumor with Skull and Mediastinal Osteosarcomatous Metastases.","authors":"Matheus H Taborda, Nathalia Luiza Ferri Bonmann, Dante Luiz Escuissato","doi":"10.1148/rycan.250028","DOIUrl":"10.1148/rycan.250028","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e250028"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130712/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030665","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
Beyond the Black Box: Explainable AI Transforms Hepatocellular Carcinoma Diagnosis at MRI. 黑箱之外:可解释的AI改变了MRI对肝细胞癌的诊断。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.250198
Yashbir Singh, Gregory J Gores, Bradley J Erickson
{"title":"Beyond the Black Box: Explainable AI Transforms Hepatocellular Carcinoma Diagnosis at MRI.","authors":"Yashbir Singh, Gregory J Gores, Bradley J Erickson","doi":"10.1148/rycan.250198","DOIUrl":"10.1148/rycan.250198","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e250198"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130692/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144187834","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
Rising Rates of Distant-Stage Breast Cancer: Trends Among U.S. Women. 晚期乳腺癌发病率的上升:美国女性的趋势。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.259012
Eric A Davis, Bonnie N Joe
{"title":"Rising Rates of Distant-Stage Breast Cancer: Trends Among U.S. Women.","authors":"Eric A Davis, Bonnie N Joe","doi":"10.1148/rycan.259012","DOIUrl":"10.1148/rycan.259012","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e259012"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130687/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144187841","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
Artificial Intelligence in Screening Mammography: How Do Patients Feel? 人工智能在乳房x光筛查中的应用:患者的感受如何?
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.250215
Lauren Burkard-Mandel, Bonnie N Joe
{"title":"Artificial Intelligence in Screening Mammography: How Do Patients Feel?","authors":"Lauren Burkard-Mandel, Bonnie N Joe","doi":"10.1148/rycan.250215","DOIUrl":"10.1148/rycan.250215","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e250215"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035414","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
Delayed Contrast-enhanced MRI Distinguishes Tumor from Radiation Treatment Effect. 延迟对比增强MRI区分肿瘤与放疗效果。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.240388
Rojine Tiffany Ariani, Nzhde Agazaryan, Steve Tenn, Robert Chin, Tania Kaprealian, Ricky R Savjani
{"title":"Delayed Contrast-enhanced MRI Distinguishes Tumor from Radiation Treatment Effect.","authors":"Rojine Tiffany Ariani, Nzhde Agazaryan, Steve Tenn, Robert Chin, Tania Kaprealian, Ricky R Savjani","doi":"10.1148/rycan.240388","DOIUrl":"10.1148/rycan.240388","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e240388"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130689/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144050928","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
Giant Cutaneous Fibrous Histiocytoma. 巨大皮肤纤维组织细胞瘤。
IF 5.6
Radiology. Imaging cancer Pub Date : 2025-05-01 DOI: 10.1148/rycan.250017
Cen Jin, Jiuming Jiang, Lihua Gong, Libin Xu, Meng Li
{"title":"Giant Cutaneous Fibrous Histiocytoma.","authors":"Cen Jin, Jiuming Jiang, Lihua Gong, Libin Xu, Meng Li","doi":"10.1148/rycan.250017","DOIUrl":"10.1148/rycan.250017","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"7 3","pages":"e250017"},"PeriodicalIF":5.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12130723/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144050930","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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