Literature DB >> 32483398

Quantification of Osteosarcoma Mineralization on Plain Radiographs - Novel Software Applications to Assess Response to Chemotherapy.

Xiaochun Xu1, Kimberley S Samkoe1,2, Megan E Anderson3, Eric R Henderson1,2.   

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 31patients 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 2based on the slope, coefficient of determination (R2) and Pearson correlation coefficient (ρ).

Entities:  

Keywords:  Osteosarcoma; Radiograph; chemotherapy; computer-aided detection; drug response; mineralization

Year:  2020        PMID: 32483398      PMCID: PMC7263182          DOI: 10.1117/12.2546954

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  13 in total

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2.  Prediction of response to neoadjuvant chemotherapy for osteosarcoma by gene-expression profiles.

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Journal:  Int J Oncol       Date:  2004-03       Impact factor: 5.650

3.  Binocular contrast vision at and above threshold.

Authors:  Tim S Meese; Mark A Georgeson; Daniel H Baker
Journal:  J Vis       Date:  2006-10-23       Impact factor: 2.240

4.  Radiographers' professional knowledge regarding parameters and safety issues in plain radiography: a questionnaire survey.

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Journal:  Br J Radiol       Date:  2014-05-14       Impact factor: 3.039

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Review 7.  Osteosarcoma.

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Journal:  Ann Oncol       Date:  2010-10       Impact factor: 32.976

8.  Local host response in osteosarcoma after chemotherapy referred to radiographs, CT, tumour necrosis and patient survival.

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Journal:  J Cancer Res Clin Oncol       Date:  1998       Impact factor: 4.553

9.  Radiographic changes in primary osteogenic sarcoma following intensive chemotherapy. Radiological-pathological correlation in 63 patients.

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Journal:  Radiology       Date:  1982-05       Impact factor: 11.105

10.  Evaluation of chemotherapy response in osteosarcoma with FDG-PET.

Authors:  Kenichiro Hamada; Yasuhiko Tomita; Atsuo Inoue; Tetsuho Fujimoto; Nobuyuki Hashimoto; Akira Myoui; Hideki Yoshikawa; Jun Hatazawa
Journal:  Ann Nucl Med       Date:  2009-02-11       Impact factor: 2.668

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