Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1784690795393056768 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9025143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT parkhyerim detectingmultiplemyelomainfiltrationofthebonemarrowonctscansinpatientswithosteopeniafeasibilityofradiomicsanalysis AT leesoyeon detectingmultiplemyelomainfiltrationofthebonemarrowonctscansinpatientswithosteopeniafeasibilityofradiomicsanalysis AT leejooyeon detectingmultiplemyelomainfiltrationofthebonemarrowonctscansinpatientswithosteopeniafeasibilityofradiomicsanalysis AT pakjuyoung detectingmultiplemyelomainfiltrationofthebonemarrowonctscansinpatientswithosteopeniafeasibilityofradiomicsanalysis AT leekoeun detectingmultiplemyelomainfiltrationofthebonemarrowonctscansinpatientswithosteopeniafeasibilityofradiomicsanalysis AT leeseungeun detectingmultiplemyelomainfiltrationofthebonemarrowonctscansinpatientswithosteopeniafeasibilityofradiomicsanalysis AT jungjoonyong detectingmultiplemyelomainfiltrationofthebonemarrowonctscansinpatientswithosteopeniafeasibilityofradiomicsanalysis |