Hugo Gaêta-Araujo1,2, Olivier Vanderhaeghen2,3, Karla de Faria Vasconcelos2,3, Wim Coucke4, Ruxandra Coropciuc2,3, Constantinus Politis2,3, Reinhilde Jacobs2,3,5. 1. Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil. 2. OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, Leuven, Belgium. 3. Oral & Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium. 4. Scientific Institute of Public Health Section Quality of Medical Laboratories, Brussels, Belgium. 5. Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden.
Abstract
OBJECTIVE: To attempt defining differential radiographic diagnostic characteristics for osteonecrotic lesions using 2D as opposed to 3D images. MATERIALS AND METHODS: This was a cross-sectional study. Subjects presenting mandibular osteonecrotic lesions (osteomyelitis, osteoradionecrosis, and medication-related osteonecrosis of the jaws) were selected and compared to a group of age- and gender-matched controls, all having both cone-beam computed tomographic images (CBCT) and panoramic radiographs (PANO). Both imaging modalities (predictor variables) were evaluated by two radiologists that scored lesion presence, eight additional radiological features, and a composite severity index (outcome variables). For each pathologic condition, characteristic features were assessed in PANO and CBCT by the Wilcoxon signed-rank test. Regression tree analysis revealed the predictive value of PANO and CBCT (α = 5%). RESULTS: Overall, the predictive value of PANO reached 74%, while for CBCT it became 90%. Regarding the composite severity index, CBCT enabled to detect more subtle lesions. Also, CBCT imaging allowed showing more distinct radiographic diagnostic features as compared to PANO imaging, more specifically when distinguishing osteomyelitis from both other lesions. CONCLUSIONS: Cone-beam computed tomography enabled showing more differences in radiological features between distinct osteonecrosis disease entities. CBCT imaging might be a better contributor for the detection of early lesions and to monitor further pathological developments in the mandible.
OBJECTIVE: To attempt defining differential radiographic diagnostic characteristics for osteonecrotic lesions using 2D as opposed to 3D images. MATERIALS AND METHODS: This was a cross-sectional study. Subjects presenting mandibular osteonecrotic lesions (osteomyelitis, osteoradionecrosis, and medication-related osteonecrosis of the jaws) were selected and compared to a group of age- and gender-matched controls, all having both cone-beam computed tomographic images (CBCT) and panoramic radiographs (PANO). Both imaging modalities (predictor variables) were evaluated by two radiologists that scored lesion presence, eight additional radiological features, and a composite severity index (outcome variables). For each pathologic condition, characteristic features were assessed in PANO and CBCT by the Wilcoxon signed-rank test. Regression tree analysis revealed the predictive value of PANO and CBCT (α = 5%). RESULTS: Overall, the predictive value of PANO reached 74%, while for CBCT it became 90%. Regarding the composite severity index, CBCT enabled to detect more subtle lesions. Also, CBCT imaging allowed showing more distinct radiographic diagnostic features as compared to PANO imaging, more specifically when distinguishing osteomyelitis from both other lesions. CONCLUSIONS: Cone-beam computed tomography enabled showing more differences in radiological features between distinct osteonecrosis disease entities. CBCT imaging might be a better contributor for the detection of early lesions and to monitor further pathological developments in the mandible.
Authors: Marjorie Eguren; Anderson Holguin; Karla Diaz; Jose Vidalon; Carlos Linan; Camila Pacheco-Pereira; Manuel Oscar Lagravere Vich Journal: Dentomaxillofac Radiol Date: 2021-06-19 Impact factor: 2.419
Authors: Hiroko Okawa; Takeru Kondo; Akishige Hokugo; Philip Cherian; Jesus J Campagna; Nicholas A Lentini; Eric C Sung; Samantha Chiang; Yi-Ling Lin; Frank H Ebetino; Varghese John; Shuting Sun; Charles E McKenna; Ichiro Nishimura Journal: Elife Date: 2022-08-26 Impact factor: 8.713