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Radiology. Imaging Cancer|July 10, 2026
Deciphering Colorectal Liver Metastasis Perfusion Heterogeneity: Identification of Distinct Vascular Phenotypes through High-Lateral-Resolution Photoacoustic MicroscopyKuanhong Wang, Chenyi Xie, Manqi Wu, et al.
Radiology. Imaging Cancer|June 26, 2026
AI-assisted Radiomic Model for Cervical Cancer Recurrence Prediction: A Multicenter Retrospective Study with Experimental ValidationShuqing Chen, Yu Zhang, Dong Chen, et al.
Radiology. Imaging Cancer|July 24, 2026
Automated Apparent Diffusion Coefficient Measurement of Breast Tumors in Diffusion-weighted MRI for Early Neoadjuvant Chemotherapy Response AssessmentNu N Le, Wen Li, Lisa J Wilmes, et al.
Radiology. Imaging Cancer|September 4, 2026
Spectral CT-based Nomogram for Noninvasive Assessment and Prognostic Prediction of MSI/dMMR in Esophagogastric Junction AdenocarcinomaYinchen Wu, Kaihe Lin, Na Lin, et al.
Radiology. Imaging Cancer|April 5, 2021
Quantitative Whole-Body Diffusion-weighted MRI after One Treatment Cycle for Aggressive Non-Hodgkin Lymphoma Is an Independent Prognostic Factor of OutcomeKatja N De Paepe, Ciska-Anne Van Keerberghen, Giorgio M Agazzi, et al.
Radiology. Imaging Cancer|April 30, 2021
Segmentation of the Prostate Transition Zone and Peripheral Zone on MR Images with Deep LearningMichelle Bardis, Roozbeh Houshyar, Chanon Chantaduly, et al.
Radiology. Imaging Cancer|May 14, 2021
A Primer on RECIST 1.1 for Oncologic Imaging in Clinical Drug TrialsKathleen Ruchalski, Marta Braschi-Amirfarzan, Michael Douek, et al.
Radiology. Imaging Cancer|September 24, 2021
Prospective Evaluation of Whole-Body MRI versus FDG PET/CT for Lesion Detection in Participants with MyelomaChristina Messiou, Nuria Porta, Bhupinder Sharma, et al.
Radiology. Imaging Cancer|September 24, 2021
Combined Angio-CT Systems: A Roadmap Tool for Precision Therapy in Interventional OncologyRyosuke Taiji, Ethan Y Lin, Yuan-Mao Lin, et al.
Radiology. Imaging Cancer|September 5, 2025
Evaluating Breast Cancer Intravoxel Incoherent Motion MRI Biomarkers across Software PlatformsEric E Sigmund, Gene Y Cho, Dibash Basukala, et al.
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