Computer-aided detection of focal bone metastases from whole-body multi-modal MRI

Ceranka, Jakub;Lecouvet, Frederic;De Mey, Johan;Vandemeulebroucke, Jef;Mazurowski, Maciej A.;et.al.
(2020) Computer-Aided Diagnosis — Location: Houston, United States (15.February.2020)

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Authors
  • Ceranka, Jakub
    Author
  • Lecouvet, FredericUCLouvain
    Author
  • De Mey, Johan
    Author
  • Vandemeulebroucke, Jef
    Author
  • Mazurowski, Maciej A.
    Author
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Abstract
The confident detection and monitoring of metastatic bone disease remains one of the major unfulfilled needs in oncology. Whole-body MRI offers excellent resolution and sensitivity for the detection of neoplastic cells within the bone marrow using so-called anatomical sequences. In combination with whole-body diffusion-weighted functional sequences, it has shown a great potential in the assessment of patient tumor involvement. However, metastatic bone disease can lead to a large amount of bone lesions spread across the skeleton, making it impractical and labor demanding to manually delineate by a radiologist. Computer-aided detection could alleviate the workflow, enabling automatic, accurate and reproducible study of the patient tumor load. In this paper, we propose a fully automated computer-aided detection system for bone metastases composed of two steps. First, whole-body multi-modal MR image preprocessing is performed consisting of intra- and inter-modality image spatial registration, intensity standardization and atlas-based segmentation of the skeleton. The second stage detects the metastases candidates using random forest voxel classification algorithm. The system is evaluated on the dataset of 6 male advanced prostate cancer patients with metastases to the bone using a leave-one-patient-out cross-validation with manual segmentation of the metastases as the reference standard. The proposed system showed metastases detection sensitivity of 0.74 with a median false positive rate of 9.67. In clinical workflow the system could potentially be used as the initial screening and treatment response assessment tool for whole-body multi-modal MRI of any advanced cancer with metastases to the bone
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Citations

Ceranka, J., Lecouvet, F., De Mey, J., Vandemeulebroucke, J., Hahn, H. K., & Mazurowski, M. A. (2020). Computer-aided detection of focal bone metastases from whole-body multi-modal MRI. Current Medical Literature. Medical Imaging, 11341(1), 1-2. https://doi.org/10.1117/12.2549537 (Original work published 2020)