Radiomics model of pelvic bone marrow in MRI for prediction of plasma cell infiltration in multiple myeloma patients

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU144580" target="_blank" >RIV/00216305:26220/21:PU144580 - isvavai.cz</a>
Result on the web
<a href="https://www.karger.com/Article/Pdf/518417" target="_blank" >https://www.karger.com/Article/Pdf/518417</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Radiomics model of pelvic bone marrow in MRI for prediction of plasma cell infiltration in multiple myeloma patients
Original language description
Introduction: Plasma cell infiltration (PCI) is an important factor for staging and risk stratification in patients with monoclonal plasma cell disorders but can only be obtained by invasive biopsy. Radiomics is a new method that allows for objective, in-depth tissue characterization by non-invasive imaging by calculating a large number of histogram, shape and textural features from medical images. The purpose of this work was to investigate with which accuracy radiomics models can predict PCI results from unguided biopsy at the iliac crest. Methods: One hundred fifty-eight patients with smoldering or multiple myeloma who had undergone whole body-MRI at 1.5 Tesla as well as bone marrow (BM) biopsy were included. Data was split by date of the MRI in training set (n=116) and independent test set (n=42). BM of the right and left hip bone was segmented in coronal T1 turbo-spin-echo images. Two hundred thirty-three radiomics features were calculated for each hipbone. A random forest classifier was trained
Czech name
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Czech description
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Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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