Cargando…
Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature
BACKGROUND: The infrapatellar fat pad (IFP) may have bilateral influence on knee osteoarthritis (KOA). IFP evaluation may be a key contributor to the diagnostic and clinical management of KOA. Few studies have evaluated KOA-related IFP alteration with radiomics. We investigated radiomic signature fo...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127010/ https://www.ncbi.nlm.nih.gov/pubmed/37098523 http://dx.doi.org/10.1186/s12891-023-06433-7 |
_version_ | 1785030373463293952 |
---|---|
author | Ye, Qin He, Dong Ding, Xiaonan Wang, Yajie Wei, Yuguo Liu, Jing |
author_facet | Ye, Qin He, Dong Ding, Xiaonan Wang, Yajie Wei, Yuguo Liu, Jing |
author_sort | Ye, Qin |
collection | PubMed |
description | BACKGROUND: The infrapatellar fat pad (IFP) may have bilateral influence on knee osteoarthritis (KOA). IFP evaluation may be a key contributor to the diagnostic and clinical management of KOA. Few studies have evaluated KOA-related IFP alteration with radiomics. We investigated radiomic signature for the assessment of IFP for KOA progression in older adults. METHODS: A total of 164 knees were enrolled and grouped based on Kellgren-Lawrence (KL) scoring. MRI-based radiomic features were calculated from IFP segmentation. The radiomic signature was developed using the most predictive subset of features and the machine-learning algorithm with minimum relative standard deviation. KOA severity and structure abnormality were assessed using a modified whole-organ magnetic resonance imaging score (WORMS). The performance of the radiomic signature was evaluated and the correlation with WORMS assessments was analyzed. RESULTS: The area under the curve of the radiomic signature for diagnosing KOA was 0.83 and 0.78 in the training and test datasets, respectively. Rad-scores were 0.41 and 2.01 for the training dataset in the groups with and without KOA (P < 0.001) and 0.63 and 2.31 for the test dataset (P = 0.005), respectively. WORMS significantly and positively correlated with rad-scores. CONCLUSIONS: The radiomic signature may be a reliable biomarker to detect IFP abnormality of KOA. Radiomic alterations in IFP were associated with severity and knee structural abnormalities of KOA in older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-023-06433-7. |
format | Online Article Text |
id | pubmed-10127010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101270102023-04-26 Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature Ye, Qin He, Dong Ding, Xiaonan Wang, Yajie Wei, Yuguo Liu, Jing BMC Musculoskelet Disord Research BACKGROUND: The infrapatellar fat pad (IFP) may have bilateral influence on knee osteoarthritis (KOA). IFP evaluation may be a key contributor to the diagnostic and clinical management of KOA. Few studies have evaluated KOA-related IFP alteration with radiomics. We investigated radiomic signature for the assessment of IFP for KOA progression in older adults. METHODS: A total of 164 knees were enrolled and grouped based on Kellgren-Lawrence (KL) scoring. MRI-based radiomic features were calculated from IFP segmentation. The radiomic signature was developed using the most predictive subset of features and the machine-learning algorithm with minimum relative standard deviation. KOA severity and structure abnormality were assessed using a modified whole-organ magnetic resonance imaging score (WORMS). The performance of the radiomic signature was evaluated and the correlation with WORMS assessments was analyzed. RESULTS: The area under the curve of the radiomic signature for diagnosing KOA was 0.83 and 0.78 in the training and test datasets, respectively. Rad-scores were 0.41 and 2.01 for the training dataset in the groups with and without KOA (P < 0.001) and 0.63 and 2.31 for the test dataset (P = 0.005), respectively. WORMS significantly and positively correlated with rad-scores. CONCLUSIONS: The radiomic signature may be a reliable biomarker to detect IFP abnormality of KOA. Radiomic alterations in IFP were associated with severity and knee structural abnormalities of KOA in older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-023-06433-7. BioMed Central 2023-04-25 /pmc/articles/PMC10127010/ /pubmed/37098523 http://dx.doi.org/10.1186/s12891-023-06433-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ye, Qin He, Dong Ding, Xiaonan Wang, Yajie Wei, Yuguo Liu, Jing Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature |
title | Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature |
title_full | Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature |
title_fullStr | Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature |
title_full_unstemmed | Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature |
title_short | Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature |
title_sort | quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: mri-based radiomic signature |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127010/ https://www.ncbi.nlm.nih.gov/pubmed/37098523 http://dx.doi.org/10.1186/s12891-023-06433-7 |
work_keys_str_mv | AT yeqin quantitativeevaluationoftheinfrapatellarfatpadinkneeosteoarthritismribasedradiomicsignature AT hedong quantitativeevaluationoftheinfrapatellarfatpadinkneeosteoarthritismribasedradiomicsignature AT dingxiaonan quantitativeevaluationoftheinfrapatellarfatpadinkneeosteoarthritismribasedradiomicsignature AT wangyajie quantitativeevaluationoftheinfrapatellarfatpadinkneeosteoarthritismribasedradiomicsignature AT weiyuguo quantitativeevaluationoftheinfrapatellarfatpadinkneeosteoarthritismribasedradiomicsignature AT liujing quantitativeevaluationoftheinfrapatellarfatpadinkneeosteoarthritismribasedradiomicsignature |