Potential for Early Fracture Risk Assessment in Patients with Metastatic Bone Disease using Parametric Response Mapping of CT Images

Benjamin A Hoff; Michael Toole; Corrie Yablon; Brian D Ross; Gary D Luker; Catherine VanPoznak; Craig J Galbán

doi:10.18383/j.tom.2015.00154

Potential for Early Fracture Risk Assessment in Patients with Metastatic Bone Disease using Parametric Response Mapping of CT Images

Tomography. 2015 Dec;1(2):98-104. doi: 10.18383/j.tom.2015.00154.

Authors

Benjamin A Hoff¹, Michael Toole², Corrie Yablon¹, Brian D Ross¹, Gary D Luker¹, Catherine VanPoznak², Craig J Galbán¹

Affiliations

¹ Department of Radiology, University of Michigan, Center for Molecular Imaging, Ann Arbor, MI 48109, USA.
² Department of Internal Medicine, University of Michigan, Center for Molecular Imaging, Ann Arbor, MI 48109, USA.

Abstract

Pathologic vertebral compression fractures (PVCF) cause significant morbidity in patients with bone metastases from breast cancer and other malignancies. Due to limitations of existing biochemical and imaging biomarkers, clinicians currently have no reliable metrics to identify patients with impending PVCF, impeding efforts to prevent this severe complication. To establish the feasibility of a new method for defining risk of PVCF, we retrospectively analyzed serial CT scans from five breast cancer patients using parametric response mapping (PRM) to quantify dynamic bone density changes that preceded an event. Vertebrae segmented from each scan were registered to vertebrae at the earliest time point (i.e. furthest from PVCF) and voxel classification accomplished using a predetermined threshold of change in HU values, resulting in relative volumes of increased (PRM_HU+), decreased (PRM_HU-), or unchanged (PRM_HU0) attenuation. A total of seven PVCF were compared to un-diseased vertebrae in each patient serving as controls. Receiver operator curve (ROC) analysis identified optimal image acquisition and analysis times for group stratification. Bone density changes were visualized by an increasing trend in PRM_HU+ as early as one year before fracture. PRM_HU- demonstrated negligible changes over the course of the study. These observations were consistent with ROC results, showing poor performance of PRM_HU- in stratifying PVCF versus control. As early as 6 months prior to PVCF, PRM_HU+ was significantly larger (12.9 ± 11.6%) compared to control vertebrae (2.3 ± 2.5%), with an AUC of 0.918 from a receiver operator curve analysis. Mean HU changes were also significant between PVCF (+26.8 ± 26.9%) and control (-2.2 ± 22.0%) over the same period. PRM analysis of bone density changes using standard CT imaging was sensitive for spatially resolving bone remodeling which preceded structural failure in patients with breast cancer vertebral metastases.

Keywords: Computed tomography; bone metastases; parametric response map; skeletal related event; vertebral compression fractures.

Abstract

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