ArticleThe British journal of radiology2020
Manual and semi-automated delineation of locally advanced rectal cancer subvolumes with diffusion-weighted MRI.
Article in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Three-Dimensional Presentation of Tongue Squamous Cell Carcinoma Histopathology and Magnetic Resonance Imaging-A Novel Image Fusion Method.Head & neck · 2026Article
- Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting: a multicenter study.Scientific reports · 2026Article
- Strategies to reduce intestinal toxicity in neoadjuvant management of locally advanced rectal cancer.Discover oncology · 2025Review
- Improved deep learning for automatic localisation and segmentation of rectal cancer on T2-weighted MRI.Journal of medical radiation sciences · 2024Article
- Radiotherapy dose escalation using pre-treatment diffusion-weighted imaging in locally advanced rectal cancer: a planning study.BJR open · 2024Article
- The Role of MRI and PET/CT in Radiotherapy Target Volume Determination in Gastrointestinal Cancers-Review of the Literature.Cancers · 2023Review
- Semi-automatic tumor segmentation of rectal cancer based on functional magnetic resonance imaging.Physics and imaging in radiation oncology · 2022Article
- DWI-MR and PET-CT Functional Imaging for Boost Tumor Volume Delineation in Neoadjuvant Rectal Cancer Treatment.In vivo (Athens, Greece)Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo evaluate interobserver agreement for
methods20 cases of LARC were reviewed by 2 radiation oncologists and 2 radiologists. Contours of gross tumour volume (GTV) on
resultsObservers were able to delineate subvolumes of restricted diffusion with moderate agreement (DSC 0.666, MDA 1.92 mm). Semi-automated segmentation based on the 40th centile intratumoral ADC value demonstrated moderate average agreement with consensus delineations (DSC 0.581, MDA 2.44 mm), with errors noted in image registration and luminal variation between acquisitions. A small validation set of four cases with optimised planning MRI demonstrated improvement (DSC 0.669, MDA 1.91 mm).
conclusionContours based on co-registered ADVANCES IN KNOWLEDGE: This is the first study to evaluate the feasibility of semi-automated diffusion-based subvolume delineation in LARC. This approach could be applied to dose escalation or 'dose painting' protocols to improve delineation reproducibility.
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