Trial reportRadiology. Imaging cancer2025
Tumor Biomechanics Quantified Using MR Elastography to Predict Response to Neoadjuvant Chemotherapy in Individuals with Breast Cancer.
Trial report in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03238144 (Tissue Stresses of Cancer), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Tissue Stresses of Cancer: A Phase I/II,Multi-centre, Feasibility Study to Image the Tissue Stiffness/Stresses to Predict Outcome in Breast Cancer
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic and clinical utility of ultrasound elastography for uterine cervical neoplasms-a comprehensive systematic review and meta-analysis.Abdominal radiology (New York) · 2026Pooled it
- Magnetic Resonance Elastography in Breast Cancer: A Prospective Study on Optimal Imaging Frequency Selection and Differentiation of Molecular Subtypes.Journal of magnetic resonance imaging : JMRI · 2026Article
- Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Single-Breathhold 3D MR Elastography in the Liver, With Simultaneous R2* and PDFF Mapping.Magnetic resonance in medicine · 2026Article
- Mechanobiology of the tumor microenvironment: a review of therapeutic interactions and in vitro elasticity measurement techniques.Journal of biomedical science · 2026Review
- Mechanobiology of cancer-associated thrombosis: from molecular mechanisms to therapeutic innovation.Journal of nanobiotechnology · 2026Review
- Correlation Between Breast Parenchymal Stiffness Measured by 3T Magnetic Resonance Elastography and CT-Derived Hounsfield Units.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Biomechanical parameters quantified by MR elastography for predicting response to neoadjuvant chemotherapy and disease-free survival in breast cancer: a prospective longitudinal study.Breast cancer research : BCR · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
Abstract
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;
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.