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

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

30204 - Oncology

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů