ArticleJournal of applied clinical medical physics2023
Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy.
Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Early Salivary Gland Shrinkage Is Associated With an Increased Risk of Acute Xerostomia in Head and Neck Cancer Radiation Therapy.Advances in radiation oncology · 2026Article
- Deformable Image Registration Uncertainty-Encompassing Dose Accumulation for Adaptive Radiation Therapy.International journal of radiation oncology, biology, physics · 2025Article
- Pan-Canadian assessment of image guided adaptive radiation therapy and the role of the radiation therapist.Technical innovations & patient support in radiation oncology · 2025Article
- Parotid preservation or immune protection? The dual dilemma in head and neck cancer radiotherapy.Frontiers in immunology · 2025Review
- Clinical Experience With an Offline Adaptive Radiation Therapy Head and Neck Program: Dosimetric Benefits and Opportunities for Patient Selection.International journal of radiation oncology, biology, physics · 2024Article
- Multi-modality imaging parameters that predict rapid tumor regression in head and neck radiotherapy.Physics and imaging in radiation oncology · 2024Article
- Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy.Journal of applied clinical medical physics · 2023Article
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Authors and funding
12 authors.
Funding
Abstract
background and purposeAnatomic changes during head and neck radiotherapy can impact dose delivery, necessitate adaptive replanning, and indicate patient-specific response to treatment. We have developed an automated system to track these changes through longitudinal MRI scans to aid identification and clinical intervention. The purpose of this article is to describe this tracking system and present results from an initial cohort of patients. MATERIALS AND
methodsThe Automated Watchdog in Adaptive Radiotherapy Environment (AWARE) was developed to process longitudinal MRI data for radiotherapy patients. AWARE automatically identifies and collects weekly scans, propagates radiotherapy planning structures, computes structure changes over time, and reports important trends to the clinical team. AWARE also incorporates manual structure review and revision from clinical experts and dynamically updates tracking statistics when necessary. AWARE was applied to patients receiving weekly T2-weighted MRI scans during head and neck radiotherapy. Changes in nodal gross tumor volume (GTV) and parotid gland delineations were tracked over time to assess changes during treatment and identify early indicators of treatment response.
resultsN = 91 patients were tracked and analyzed in this study. Nodal GTVs and parotids both shrunk considerably throughout treatment (-9.7 ± 7.7% and -3.7 ± 3.3% per week, respectively). Ipsilateral parotids shrunk significantly faster than contralateral (-4.3 ± 3.1% vs. -2.9 ± 3.3% per week, p = 0.005) and increased in distance from GTVs over time (+2.7 ± 7.2% per week, p < 1 × 10
conclusionAWARE automatically identified longitudinal changes in GTV and parotid volumes during radiotherapy. Results suggest that this system may be useful for identifying rapidly responding patients as early as one week into treatment.
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