Computed Tomography Orodental Sub-volume Imaging Annotation Dataset of Head and Neck Cancer Radiation Therapy Patients
Kaffey, Z.; OPC-SURVIVOR Program and MD Anderson Head and Neck Cancer Symptom Working Group, ; Castelo, A. H.; He, R.; van Dijk, L. V.; Rhee, D. J.; Wang, C.; Wang, H. C.; Wahid, K. A.; Joshi, S.; Gerafian, P.; West, N.; Mirbahaeddin, S.; Curiel, J.; Acharya, S.; Shekha, A.; Oderinde, P.; Ali, A. M. S.; Hope, A.; Watson, E.; Wesson-Aponte, R.; Frank, S. J.; Barbon, C. E. A.; Brock, K. K.; Chambers, M. S.; Walji, M.; Hutcheson, K. A.; Lai, S. Y.; Fuller, C. D.; Naser, M. A.; Moreno, A. C.; Humbert-Vidan, L.
Show abstract
Accurate delineation of orodental structures on computed tomography (CT) is critical for image-guided assessments of radiation-associated bone injury. This dataset comprises curated CT imaging and expert-defined segmentation masks for 60 patients with head and neck cancer treated with radiotherapy (RT), including delineations of mandibular and maxillary sub-volumes and individual teeth. Segmentation guidelines were informed by anatomical differences across sub-regions and aligned with the ClinRad osteoradionecrosis (ORN) staging system. The dataset includes converted NIfTI files of simulation CT images, RT dose distributions, and delineated structures. All segmentations were performed manually using a standardized protocol in a commercial treatment planning system and converted to research-ready formats using open-source tools. This dataset may facilitate the development and validation of automated segmentation tools, dose mapping applications, and image-based ORN detection pipelines in head and neck cancer survivors.
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