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Black bone MRI morphometry for mandibular cortical bone measurement in head and neck cancer patients: Prospective method comparison with CT

Joint Head and Neck MRI-Radiotherapy Development Cooperative, Lisanne V. van Dijk, Juan Ventura, Kareem Wahid, Lin L. Zhu, Brigid A. McDonald, Sara Ahmed, Keith Sanders, Sonja M. Stieb, Lance McCoy, Christina S. Sharafi, Kathryn E. Preston, Natalie A. West, Sarah Mirbahaeddin, Dina M. El-Habashy, Travis Salzillo, Samuel Mulder, Joly Fahim, Aubryane DeArmas, Mona ArbabYao Ding, Jihong Wang, Bastien Rigaud, Anando Sen, Mark Chambers, Katherine A. Hutcheson, Kristy K. Brock, Abdallah S.R. Mohamed, Stephen Y. Lai, Clifton D. Fuller*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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Abstract

Objectives : Determine the utility of low-flip angle “black bone” magnetic resonance imaging (MRI) for cortical mandibular bone assessment compared to computed tomography (CT). Methods : Quantification of cortical mandibular bone width was performed per Hamada et al. at 15 cross-sectional interdentium locations on pre-treatment black bone MRI and CT for 15 oropharyngeal cancer patients, with inter-observer analyses on a subset of 3 patients by 11 observers. CT and MRI measurements were compared using Bland-Altman analysis, Lin’s concordance, and Deming regression; inter-observer variability was assessed with absolute variance and intraclass correlation coefficient (ICC). Results : Bland Altman and Deming regression analyses showed CT and black bone MRI measurements were comparable within ±0.85mm limits of agreement, and systematically smaller for MRI. ICC (0.60[0.52;0.67]) showed moderate equivalence between modalities. The average absolute variance between the observers was similar on CT (1.13±0.06mm) and MRI (1.15±0.06mm). ICC analysis showed that measurement consistency was significantly higher (p
Original languageEnglish
Pages (from-to)690-700
Number of pages11
JournalOral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
Volume141
Issue number5
Early online date29 Dec 2025
DOIs
Publication statusPublished - 1 May 2026
Externally publishedYes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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