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25 February 2020 Quantification of osteosarcoma mineralization on plain radiographs: novel software applications to assess response to chemotherapy
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Proceedings Volume 11224, Optics and Ionizing Radiation; 112240K (2020) https://doi.org/10.1117/12.2546954
Event: SPIE BiOS, 2020, San Francisco, California, United States
Abstract
Osteosarcoma is the most common primary malignant bone tumor in children. Patient survival with osteosarcoma is heavily influenced by the response to chemotherapy, measured by tumor necrosis upon histological analysis. Unfortunately, response is not measurable until the time of surgery and therefore modifications to chemotherapy protocol are only made after several weeks of treatment and surgery. Osteosarcoma tumors often demonstrate increased mineralization following the onset of chemotherapy. Furthermore, it has been hypothesized that this mineralization—apparent on radiographs—may correlate with chemotherapy response, however, this has not been demonstrated with qualitative visual evaluation. The ability to non-invasively measure a patient’s response to chemotherapy using plain radiographs, which is currently included in the normal clinical workflow, would guide the medical oncologists to tailor treatment for patients with osteosarcoma. After obtaining appropriate multi-center institutional review board approvals, we identified 31 patients that possess a pair of pre- and post-chemotherapy radiograph along with the necrosis measure. The images were digitized scans of physical radiographs between 1999 and 2013. Software was designed to measure the signal intensities in the tumor, a region of the soft tissue, air, and healthy bone. The tumor signals were normalized based on the random combination of air, soft tissue or bone, by subtraction or division. The differences in tumor signal between pre- and post-image were plotted against the percent necrosis determined by histological analysis. Different combinations of the normalization methods were compared based on the slope, coefficient of determination (R2) and Pearson correlation coefficient (ρ).
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaochun Xu, Kimberley S. Samkoe, Megan E. Anderson, and Eric R. Henderson "Quantification of osteosarcoma mineralization on plain radiographs: novel software applications to assess response to chemotherapy", Proc. SPIE 11224, Optics and Ionizing Radiation, 112240K (25 February 2020); https://doi.org/10.1117/12.2546954
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