Robust extraction of biological information from diffusion-weighted magnetic resonance imaging during radiotherapy using semi-automatic delineation
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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.
Originalsprog | Engelsk |
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Tidsskrift | Physics and Imaging in Radiation Oncology |
Vol/bind | 21 |
Sider (fra-til) | 146-152 |
Antal sider | 7 |
DOI | |
Status | Udgivet - 2022 |
Bibliografisk note
Funding Information:
This work was supported by Danish Cancer Society (Grant no. R231-A13852), Danish Comprehensive Cancer Center RT (Danish Cancer Society grant) (Grant no. R191-A11526), and by MANTRA (New MAgNetic resonance Technology for Response Adapted radiotherapy), a Frontline research center based at Odense University Hospital, Denmark. The funding sources had no role in the study design, collection, analysis and interpretation of data, writing of the report or in the decision to submit the article for publication.
Funding Information:
We thank Frederik Severin Gråe Harbo, Department of Radiology, Odense University Hospital, for useful insight in the initial phase of the study, and Lars Johnsen, Department of Oncology, Odense University Hospital, for assistance with handling data in Pinnacle and MIM.
Publisher Copyright:
© 2022
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