Robust extraction of biological information from diffusion-weighted magnetic resonance imaging during radiotherapy using semi-automatic delineation. (January 2022)
- Record Type:
- Journal Article
- Title:
- Robust extraction of biological information from diffusion-weighted magnetic resonance imaging during radiotherapy using semi-automatic delineation. (January 2022)
- Main Title:
- Robust extraction of biological information from diffusion-weighted magnetic resonance imaging during radiotherapy using semi-automatic delineation
- Authors:
- Bisgaard, Anne Louise Højmark
Brink, Carsten
Fransen, Maja Lynge
Schytte, Tine
Behrens, Claus P.
Vogelius, Ivan
Nissen, Henrik Dahl
Mahmood, Faisal - Abstract:
- Highlights: An intensity-based delineation tool for consistent ADC measurements is presented. Semi-automatic delineation performs comparable to manual expert delineation. Intra-treatment ADC changes may reflect radiotherapy induced biological changes. Abstract: 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 delineationHighlights: An intensity-based delineation tool for consistent ADC measurements is presented. Semi-automatic delineation performs comparable to manual expert delineation. Intra-treatment ADC changes may reflect radiotherapy induced biological changes. Abstract: 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 mm 2 s −1, and week 2, [−0.01; 0.00] vs. [−0.04; 0.07] 10 −3 mm 2 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 mm 2 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. … (more)
- Is Part Of:
- Physics and imaging in radiation oncology. Volume 21(2022)
- Journal:
- Physics and imaging in radiation oncology
- Issue:
- Volume 21(2022)
- Issue Display:
- Volume 21, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 21
- Issue:
- 2022
- Issue Sort Value:
- 2022-0021-2022-0000
- Page Start:
- 146
- Page End:
- 152
- Publication Date:
- 2022-01
- Subjects:
- Diffusion-weighted MRI -- Apparent diffusion coefficient -- Automatic delineation -- MRI guided radiotherapy -- Imaging biomarker
Radiotherapy -- Periodicals
Radiation dosimetry -- Periodicals
Cancer -- Imaging -- Periodicals
Oncology -- Periodicals
615.842 - Journal URLs:
- http://www.sciencedirect.com/ ↗
https://www.journals.elsevier.com/physics-and-imaging-in-radiation-oncology/ ↗ - DOI:
- 10.1016/j.phro.2022.02.014 ↗
- Languages:
- English
- ISSNs:
- 2405-6316
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21285.xml