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Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis

It is difficult to detect multiple myeloma (MM) infiltration of the bone marrow on computed tomography (CT) scans of patients with osteopenia. Our aim is to determine the feasibility of using radiomics analysis to detect MM infiltration of the bone marrow on CT scans of patients with osteopenia. The...

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Autores principales: Park, Hyerim, Lee, So-Yeon, Lee, Jooyeon, Pak, Juyoung, Lee, Koeun, Lee, Seung-Eun, Jung, Joon-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025143/
https://www.ncbi.nlm.nih.gov/pubmed/35453971
http://dx.doi.org/10.3390/diagnostics12040923
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author Park, Hyerim
Lee, So-Yeon
Lee, Jooyeon
Pak, Juyoung
Lee, Koeun
Lee, Seung-Eun
Jung, Joon-Yong
author_facet Park, Hyerim
Lee, So-Yeon
Lee, Jooyeon
Pak, Juyoung
Lee, Koeun
Lee, Seung-Eun
Jung, Joon-Yong
author_sort Park, Hyerim
collection PubMed
description It is difficult to detect multiple myeloma (MM) infiltration of the bone marrow on computed tomography (CT) scans of patients with osteopenia. Our aim is to determine the feasibility of using radiomics analysis to detect MM infiltration of the bone marrow on CT scans of patients with osteopenia. The contrast-enhanced thoracic CT scans of 104 patients with MM and 104 age- and sex-matched controls were retrospectively evaluated. All individuals had decreased bone density on radiography. The study group was divided into development (n = 160) and temporal validation sets (n = 48). The radiomics model was developed using 805 texture features extracted from the bone marrow for a development set, using a Random Forest algorithm. The developed models were applied to evaluate a temporal validation set. For comparison, three radiologists evaluated the CTs for the possibility of MM infiltration in the bone marrow. The diagnostic performances were assessed and compared using an area under the receiver operating characteristic curve (AUC) analysis. The AUC of the radiomics model was not significantly different from those of the radiologists (p = 0.056–0.821). The radiomics analysis results showed potential for detecting MM infiltration in the bone marrow on CT scans of patients with osteopenia.
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spelling pubmed-90251432022-04-23 Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis Park, Hyerim Lee, So-Yeon Lee, Jooyeon Pak, Juyoung Lee, Koeun Lee, Seung-Eun Jung, Joon-Yong Diagnostics (Basel) Article It is difficult to detect multiple myeloma (MM) infiltration of the bone marrow on computed tomography (CT) scans of patients with osteopenia. Our aim is to determine the feasibility of using radiomics analysis to detect MM infiltration of the bone marrow on CT scans of patients with osteopenia. The contrast-enhanced thoracic CT scans of 104 patients with MM and 104 age- and sex-matched controls were retrospectively evaluated. All individuals had decreased bone density on radiography. The study group was divided into development (n = 160) and temporal validation sets (n = 48). The radiomics model was developed using 805 texture features extracted from the bone marrow for a development set, using a Random Forest algorithm. The developed models were applied to evaluate a temporal validation set. For comparison, three radiologists evaluated the CTs for the possibility of MM infiltration in the bone marrow. The diagnostic performances were assessed and compared using an area under the receiver operating characteristic curve (AUC) analysis. The AUC of the radiomics model was not significantly different from those of the radiologists (p = 0.056–0.821). The radiomics analysis results showed potential for detecting MM infiltration in the bone marrow on CT scans of patients with osteopenia. MDPI 2022-04-07 /pmc/articles/PMC9025143/ /pubmed/35453971 http://dx.doi.org/10.3390/diagnostics12040923 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Park, Hyerim
Lee, So-Yeon
Lee, Jooyeon
Pak, Juyoung
Lee, Koeun
Lee, Seung-Eun
Jung, Joon-Yong
Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis
title Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis
title_full Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis
title_fullStr Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis
title_full_unstemmed Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis
title_short Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis
title_sort detecting multiple myeloma infiltration of the bone marrow on ct scans in patients with osteopenia: feasibility of radiomics analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025143/
https://www.ncbi.nlm.nih.gov/pubmed/35453971
http://dx.doi.org/10.3390/diagnostics12040923
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