ArticlemedRxiv : the preprint server for health sciences2025
Radiation-specific Automated Dosimetric dental, Mandible, and maxilla Annotation for Predicting Periodontal Problems (RADMAP): A semi-automated tool for dosimetric oral risk communication and osteoradionecrosis assessment.
Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1citing papers in PubMed
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1 · What the graph read from it
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2 · The registry
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5 · Who and what money
Authors and funding
17 authors.
Lisanne V van DijkDepartment of Radiation Oncology, University Medical Center Groningen, Groningen, NL.ORCID 0000-0002-9515-5616
Laia Humbert-VidanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-8005-6770
Erin E WatsonDepartment of Dental Oncology/Faculty of Dentistry, Princess Margaret Cancer Centre; University Health Network; University of Toronto, Toronto, CA.ORCID 0000-0002-2096-7732
Ruth A Aponte WessonDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-0233-9035
Luisa E JacominaDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-7553-9674
Renjie HeDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-9166-6286
Mohamed A NaserDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-1020-4966
Dong Joo RheeDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA.
He C WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-4904-531X
Stephen Y LaiDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-8301-7286
Muhammad WaljiDepartment of Clinical and Health Informatics, UTHealth Houston McWilliams School of Biomedical Informatics.ORCID 0000-0001-5306-9683
Max Jh WitjesOral & Maxillofacial Surgery, University Medical Center Groningen, Groningen, NL.ORCID 0000-0002-4135-3246
Matthew S KatzDepartment of Radiation Oncology, Tufts Medical Center, Boston, MA.ORCID 0000-0002-0239-9807
Andrew HopeDepartment of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
Mark S ChambersDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, USA.
Clifton D FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0002-5264-3994
Amy C MorenoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-6762-6807
Funding
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Paul Calabresi Clinical Oncology AwardK12CA088084 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI David S. Hong, Scott Kopetz · 2000 to 2026
$14.0M
Development of functional magnetic resonance imaging-guided adaptive radiotherapy for head and neck cancer patients using novel MR-Linac deviceR01DE028290 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHRISTODOULEAS, JOHN PAUL, FULLER, CLIFTON DAVID · 2019 to 2023
$4.3M
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular OsteoradionecrosisR01DE025248 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LAI, STEPHEN Y · 2016 to 2020
$2.9M
Quantitative Imaging Biomarker Prospective Validation of Dynamic Contrast-Enhanced MRI as a Metric of Orodental Injury After Radiotherapy (QI-ProVE-MRI)U01DE032168 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Clifton David Fuller, STEPHEN Y LAI · 2023 to 2026
$2.8M
Ontology-based aPplications of mUlti-discipLinary knowlEdge on orodeNtal Conditions and outcomEs (OPULENCE)R01DE034406 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Amy Catherine Moreno · 2025 to 2026
$1.5M
Fellow and Resident Radiation Oncology iNtensive Training in Imaging and Informatics to Empower Research Careers (FRONTI2ER)R25EB025787 · NIBIB · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DAS, PRAJNAN, FULLER, CLIFTON DAVID · 2018 to 2022
$535k
Provider and Patient-generated Remote Oro-Dental Health Electronic Data Capture for Algorithmic Longitudinal Evaluation and Risk-Assessment (PROHEALER)K01DE030524 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORENO, AMY CATHERINE · 2022 to 2024
$479k
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular OsteoradionecrosisR56DE025248 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LAI, STEPHEN Y · 2015 to 2015
$470k
Radiation-specific Automated Dental Dose Distributions via Machine-learning based Mapping for Accurate Predictions of (Peri)odontal Problems (RADMAP)R21DE031082 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORENO, AMY CATHERINE · 2021 to 2022
Purpose/Objectives: Osteoradionecrosis of the jaw (ORN) is a severe complication of head and neck cancer (HNC) radiotherapy (RT), significantly impacting patient quality of life. Current dose assessment relies on whole-mandible dosimetry, limiting personalized, tooth-specific region risk evaluation. The lack of standardized methods to document and analyze dose distributions to tooth-bearing regions further hampers dental and maxillofacial decision-making. This study develops and evaluates RADMAP, a (semi-)automated tool for segmenting tooth-based jaw regions, enabling patient- and tooth-specific radiation dose mapping to improve dental dose reporting and ORN risk assessment. Methods and Materials: A total of 736 tooth locations from 23 HNC patients treated with definitive RT were analyzed, including 11 who developed ORN. The RADMAP tool applies an angular ray-based algorithm to automatically segment the mandible and maxilla into 32 tooth-specific jaw regions, with optional manual refinement (semi-automated), outputting radiation dose mapping in both tabular and odontogram formats. Mean dose values from manually contoured tooth roots were compared with RADMAP-segmented alveolar regions (fully and semi-automated). Interobserver agreement among six users was evaluated. Whole-mandible, manual tooth, and tooth-based jaw segment (alveolar and basal) doses were compared between regions with and without ORN development. Results: Mean dose correlation between RADMAP-segmented alveolar jaw regions and manually segmented tooth roots was high for both fully and semi-automated approaches (R Conclusion: RADMAP enables accurate, tooth-specific dose mapping of the mandible and maxilla, and potential improved ORN risk differentiation beyond whole-mandible dosimetry. Tooth-based dose reporting can personalize treatment, enhance multidisciplinary communication, and support prevention of radiation-related orodental sequelae.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Radiation-specific Automated Dosimetric dental, Mandible, and maxilla Annotation for Predicting Periodontal Problems (RADMAP): A semi-automated tool for dosimetric oral risk communication and osteoradionecrosis assessment. · full record | OpenQuestion