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Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations
Accurate diagnosis and timely intervention are key to addressing common knee conditions effectively. In this work, we aim to identify textural changes in knee lesions based on bone marrow edema (BME), injury (INJ), and osteoarthritis (OST). One hundred and twenty-one MRI knee examinations were selec...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672553/ https://www.ncbi.nlm.nih.gov/pubmed/37998099 http://dx.doi.org/10.3390/jimaging9110252 |
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author | Kostopoulos, Spiros Boci, Nada Cavouras, Dionisis Tsagkalis, Antonios Papaioannou, Maria Tsikrika, Alexandra Glotsos, Dimitris Asvestas, Pantelis Lavdas, Eleftherios |
author_facet | Kostopoulos, Spiros Boci, Nada Cavouras, Dionisis Tsagkalis, Antonios Papaioannou, Maria Tsikrika, Alexandra Glotsos, Dimitris Asvestas, Pantelis Lavdas, Eleftherios |
author_sort | Kostopoulos, Spiros |
collection | PubMed |
description | Accurate diagnosis and timely intervention are key to addressing common knee conditions effectively. In this work, we aim to identify textural changes in knee lesions based on bone marrow edema (BME), injury (INJ), and osteoarthritis (OST). One hundred and twenty-one MRI knee examinations were selected. Cases were divided into three groups based on radiological findings: forty-one in the BME, thirty-seven in the INJ, and forty-three in the OST groups. From each ROI, eighty-one radiomic descriptors were calculated, encoding texture information. The results suggested differences in the texture characteristics of regions of interest (ROIs) extracted from PD-FSE and STIR sequences. We observed that the ROIs associated with BME exhibited greater local contrast and a wider range of structural diversity compared to the ROIs corresponding to OST. When it comes to STIR sequences, the ROIs related to BME showed higher uniformity in terms of both signal intensity and the variability of local structures compared to the INJ ROIs. A combined radiomic descriptor managed to achieve a high separation ability, with AUC of 0.93 ± 0.02 in the test set. Radiomics analysis may provide a non-invasive and quantitative means to assess the spatial distribution and heterogeneity of bone marrow edema, aiding in its early detection and characterization. |
format | Online Article Text |
id | pubmed-10672553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106725532023-11-20 Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations Kostopoulos, Spiros Boci, Nada Cavouras, Dionisis Tsagkalis, Antonios Papaioannou, Maria Tsikrika, Alexandra Glotsos, Dimitris Asvestas, Pantelis Lavdas, Eleftherios J Imaging Article Accurate diagnosis and timely intervention are key to addressing common knee conditions effectively. In this work, we aim to identify textural changes in knee lesions based on bone marrow edema (BME), injury (INJ), and osteoarthritis (OST). One hundred and twenty-one MRI knee examinations were selected. Cases were divided into three groups based on radiological findings: forty-one in the BME, thirty-seven in the INJ, and forty-three in the OST groups. From each ROI, eighty-one radiomic descriptors were calculated, encoding texture information. The results suggested differences in the texture characteristics of regions of interest (ROIs) extracted from PD-FSE and STIR sequences. We observed that the ROIs associated with BME exhibited greater local contrast and a wider range of structural diversity compared to the ROIs corresponding to OST. When it comes to STIR sequences, the ROIs related to BME showed higher uniformity in terms of both signal intensity and the variability of local structures compared to the INJ ROIs. A combined radiomic descriptor managed to achieve a high separation ability, with AUC of 0.93 ± 0.02 in the test set. Radiomics analysis may provide a non-invasive and quantitative means to assess the spatial distribution and heterogeneity of bone marrow edema, aiding in its early detection and characterization. MDPI 2023-11-20 /pmc/articles/PMC10672553/ /pubmed/37998099 http://dx.doi.org/10.3390/jimaging9110252 Text en © 2023 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 Kostopoulos, Spiros Boci, Nada Cavouras, Dionisis Tsagkalis, Antonios Papaioannou, Maria Tsikrika, Alexandra Glotsos, Dimitris Asvestas, Pantelis Lavdas, Eleftherios Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations |
title | Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations |
title_full | Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations |
title_fullStr | Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations |
title_full_unstemmed | Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations |
title_short | Radiomics Texture Analysis of Bone Marrow Alterations in MRI Knee Examinations |
title_sort | radiomics texture analysis of bone marrow alterations in mri knee examinations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672553/ https://www.ncbi.nlm.nih.gov/pubmed/37998099 http://dx.doi.org/10.3390/jimaging9110252 |
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