Purpose To evaluate the ability of MR elastography (MRE) to noninvasively quantify tissue biomechanics and determine the added diagnostic value of biomechanics for predicting response throughout neoadjuvant chemotherapy (NAC). Materials and Methods In this prospective study (between September 2020 and August 2023; registration no. NCT03238144), participants with breast cancer scheduled to undergo NAC underwent five MRE scans at different time points alongside clinical dynamic contrast-enhanced MRI (DCE MRI). Regions of interest were drawn over the tumor region for the first two scans, while for the post-NAC scan, the initial pre-NAC tumor footprint was used. Biomechanics, specifically tumor stiffness and phase angle within these regions of interest, were quantified as well as the corresponding ratios relative to before NAC (tumor-stiffness ratio and phase-angle ratio, respectively). Postsurgical pathologic analysis was used to determine complete and partial responders. Furthermore, a repeatability analysis was performed for 18 participants. Results Datasets of 41 female participants (mean age, 47 years ± 12.5 [SD]) were included in this analysis. The tumor-stiffness ratio following NAC decreased significantly for complete responders and increased for partial responders (0.76 ± 0.16 and 1.14 ± 0.24, respectively; < .001). The phase-angle ratio after the first cycle of the first NAC regimen compared with before NAC predicted pathologic response (1.23 ± 0.31 vs 0.91 ± 0.34; < .001). Combining the tumor stiffness ratio with DCE MRI improved specificity compared with DCE MRI alone (96% vs 44%) while maintaining the high sensitivity of DCE MRI (94%). Repeatability analysis showed excellent agreement for elasticity (repeatability coefficient, 8.3%) and phase angle (repeatability coefficient, 5%). Conclusion MRE-derived phase-angle ratio and tumor stiffness ratio were associated with pathologic complete response in participants with breast cancer undergoing NAC, and a combined DCE MRI plus MRE approach significantly enhanced specificity for identification of complete responders after NAC, while maintaining high sensitivity. Breast Cancer, MR Elastography, Neoadjuvant Chemotherapy, Dynamic Contrast-enhanced MRI Clinical trials registration no. NCT03238144 Published under a CC BY 4.0 license.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1148/rycan.240138 | DOI Listing |
J Med Imaging (Bellingham)
November 2025
University of Toronto, Department of Medical Biophysics, Toronto, Ontario, Canada.
Purpose: Breast density (BD) and background parenchymal enhancement (BPE) are important imaging biomarkers for breast cancer (BC) risk. We aim to evaluate longitudinal changes in quantitative BD and BPE in high-risk women undergoing dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), focusing on the effects of age and transition into menopause.
Approach: A retrospective cohort study analyzed 834 high-risk women undergoing breast DCE-MRI for screening between 2005 and 2020.
Diagnostics (Basel)
February 2025
Department of Diagnostic and Interventional Neuroradiology, University Hospital Tuebingen, 72076 Tuebingen, Germany.
: The non-invasive identification of glioma subtypes is useful for initial diagnosis, treatment planning, and follow-up. The aim of this study was to evaluate the performance of diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced (DCE)-MRI in differentiating subtypes of adult-type diffuse gliomas. : In a prospective multicenter study, standardized MRI was analyzed in 59 patients with adult-type diffuse glioma.
View Article and Find Full Text PDFFront Oncol
February 2025
Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Purpose: This study aims to investigate the diagnostic accuracy of various deep learning methods on DCE-MRI, in order to provide a simple and accessible tool for predicting pathologic response of NAC in breast cancer patients.
Methods: In this study, we enrolled 313 breast cancer patients who had complete DCE-MRI data and underwent NAC followed by breast surgery. According to Miller-Payne criteria, the efficacy of NAC was categorized into two groups: the patients achieved grade 1-3 of Miller-Payne criteria were classified as the non-responders, while patients achieved grade 4-5 of Miller-Payne criteria were classified as responders.
Curr Probl Diagn Radiol
March 2025
Department of Radiology, Urology and Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA. Electronic address:
Objective: To compare Prostate Imaging Reporting and Data System (PI-RADS) scores derived from a standard multiparametric prostate MRI (mpMRI) protocol with those from a protocol consisting only of T2-weighted and dynamic contrast-enhanced images (T2+DCE MRI).
Methods: In this retrospective, single-center, cross-sectional study approved by the IRB and compliant with HIPAA, 492 MRI exams performed in 2022 were analyzed. PI-RADS scores from mpMRIs were extracted from medical records, and new scores were generated for T2+DCE MRI following PI-RADS guidelines.
Cureus
February 2025
Department of Radiology, Krishna Institute of Medical Sciences, Secunderabad, IND.
Background Patients with risk factors such as viral hepatitis-induced liver cirrhosis, advanced-stage primary biliary cirrhosis, hereditary hemochromatosis, metabolic-associated fatty liver disease, and alcoholic liver disease are more likely to develop hepatocellular carcinoma (HCC). Most HCC patients have advanced-stage disease unresponsive to treatment. Therefore, avoiding or treating viral infections and early detection through routine surveillance, such as repeated liver ultrasonography, are the most effective ways to reduce HCC-related mortality.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!