Computational analysis of MRIs predicts osteosarcoma chemoresponsiveness

Autor: Nemanja Rajkovic, Sinisa Ducic, Nebojša T. Milošević, Marko Radulovic, Igor Borić, Goran Djuricic, Milan Apostolovic, Jelena Sopta
Rok vydání: 2021
Předmět:
Adult
Male
medicine.medical_specialty
Adolescent
Clinical Biochemistry
Bone Neoplasms
fractal analysis
030218 nuclear medicine & medical imaging
03 medical and health sciences
Young Adult
0302 clinical medicine
cytotoxic chemotherapy
Drug Discovery
Antineoplastic Combined Chemotherapy Protocols
Outcome Assessment
Health Care
Medicine
cancer
Humans
Computational analysis
Child
Retrospective Studies
Osteosarcoma
business.industry
Biochemistry (medical)
computational image analysis
prediction
Cytotoxic chemotherapy
Middle Aged
medicine.disease
Prognosis
Fractal analysis
Magnetic Resonance Imaging
Neoadjuvant Therapy
tumor circularity
Cross-Sectional Studies
Fractals
ROC Curve
Feature (computer vision)
030220 oncology & carcinogenesis
Child
Preschool
Female
Radiology
business
medical image analysis
Algorithms
MRI
Zdroj: Biomarkers in medicine. 15(12)
ISSN: 1752-0371
Popis: Aim: This study aimed to improve osteosarcoma chemoresponsiveness prediction by optimization of computational analysis of MRIs. Patients & methods: Our retrospective predictive model involved osteosarcoma patients with MRI scans performed before OsteoSa MAP neoadjuvant cytotoxic chemotherapy. Results: We found that several monofractal and multifractal algorithms were able to classify tumors according to their chemoresponsiveness. The predictive clues were defined as morphological complexity, homogeneity and fractality. The monofractal feature CV for (G) provided the best predictive association (area under the ROC curve = 0.88; p
This work was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, grant number 451-03-9/2021-14/200043. The funding source was not involved in study design, in the collection, analysis and interpretation of data, in the writing of the report, and in the decision to submit the article for publication.
Databáze: OpenAIRE
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