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Updated: Sep 30, 2025

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Robust extraction of biological information from diffusion-weighted magnetic resonance imaging during radiotherapy
Anne Louise Højmark Bisgaard1,2, Carsten Brink1,2, Maja Lynge Fransen3
1Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Kløvervænget 19, Indgang 85, Pavillon, stuen, 5000 Odense C, Denmark.
Background And Purpose:
Diffusion-Weighted Magnetic Resonance imaging (DWI) quantifies water mobility through the Apparent Diffusion Coefficient (ADC), a promising radiotherapy response biomarker. ADC measurements depend on manual delineation of a region of interest, a time-consuming and observer-dependent process. Here, the aim was to introduce and test the performance of a new, semi-automatic delineation tool (SADT) for ADC calculation within the viable region of the tumour.
Materials And Methods:
Thirty patients with rectal cancer were scanned with DWI before radiotherapy (RT) (baseline) and two weeks into RT (week 2). The SADT was based on intensities in b=1100 s mm-2 DWI and derived ADC maps. ADC values measured using the SADT and manual delineations were compared using Bland-Altman- and correlation analyses. Delineations were repeated to assess intra-observer variation, and repeatability was estimated using repeated DWI scans.
Results:
ADC measured using the SADT and manual delineation showed strong and moderate correlation at baseline and week 2, respectively, with the SADT measuring systematically smaller values. Intra-observer ADC variation was slightly smaller for the SADT compared to manual delineation both at baseline, [-0.00; 0.03] vs. [-0.02; 0.04] 10-3 mm2 s-1, and week 2, [-0.01; 0.00] vs. [-0.04; 0.07] 10-3 mm2 s-1 (68.3% limits of agreement). The ADC change between baseline and week 2 was larger than the ADC uncertainty ( 0.04 · 10-3 mm2 s-1) in all cases except one.
Conclusion:
The presented SADT showed performance comparable to manual expert delineation, and with sufficient consistency to allow extraction of potential biological information from the viable tumour.
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