Comparison of mandibular cortical thickness and QCT‐derived bone mineral density (BMD) in survivors of childhood acute lymphoblastic leukemia: a retrospective study. Issue 5 (15th September 2015)

• Record Type: Journal Article
• Authors: Allen, Brandice; Migliorati, Cesar; Rowland, Chris; An, Qi; Shintaku, Werner; Donaldson, Martin; Wells, Martha; Kaste, Sue
• Is Part Of: International journal of paediatric dentistry. Volume 26:Issue 5(2016)
• Page Start: 330
• Page End: 335
• Publication Date: 2015-09-15
• Subjects: Pedodontics -- Periodicals; 617.645
• DOI: 10.1111/ipd.12203
• Languages: English
• ISSNs: 0960-7439

Abstract

Abstract : Objective: To examine whether panoramic radiograph‐determined mandibular cortical thickness correlated with quantitative computed tomography‐derived bone mineral density (BMD) in survivors of childhood acute lymphoblastic leukemia (ALL). Methods: We identified patients treated for ALL at St. Jude Children's Research Hospital, seen in the After Completion of Therapy (ACT) Clinic between January of 2006 and January of 2014 who had QCT‐derived BMD and panoramic radiographs obtained within 1 month of each other. Panoramic radiographs were independently scored by a pediatric radiologist, two pediatric dentists, and a general dentist using the Klemetti technique. We used the Spearman's rank correlation test and the multivariate regression model to investigate the effect of evaluator experience on results. Results: The study cohort comprised 181 patients with 320 paired studies: 112 (62%) male, 112 (71%) were white. Median age at ALL diagnosis was 6.4 (range, 0–18.8) years. Median age at study was 11.9 (range, 3.3 to 29.4) years. The median average BMD was 154.6 (range, 0.73–256) mg/cc; median QCT Z‐score (age and gender adjusted) was −0.875 (range, −5.04 to 3.2). We found very weak association between panoramic radiograph score and both QCT‐BMD average ( P = 0.53) and QCT Z‐score ( P = 0.39). Results were not influenced by level of reader experience. Conclusions: The Klemetti technique of estimating BMD does not predict BMD deficits in children and young adult survivors of ALL, regardless of reviewer expertise. Alternative methods are needed whereby dental healthcare providers can identify and refer patients at risk for BMD deficits for detailed assessment and intervention.