Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature

Abstract 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 sign...

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Main Authors: Qin Ye, Dong He, Xiaonan Ding, Yajie Wang, Yuguo Wei, Jing Liu
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Musculoskeletal Disorders
Subjects:
Online Access:https://doi.org/10.1186/s12891-023-06433-7
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author Qin Ye
Dong He
Xiaonan Ding
Yajie Wang
Yuguo Wei
Jing Liu
author_facet Qin Ye
Dong He
Xiaonan Ding
Yajie Wang
Yuguo Wei
Jing Liu
author_sort Qin Ye
collection DOAJ
description Abstract 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.
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spelling doaj.art-d69beb7e5e9f449ca4d5963e205946922023-04-30T11:02:47ZengBMCBMC Musculoskeletal Disorders1471-24742023-04-012411910.1186/s12891-023-06433-7Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signatureQin Ye0Dong He1Xiaonan Ding2Yajie Wang3Yuguo Wei4Jing Liu5Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical CollegeCenter for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical CollegeCenter for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical CollegeCenter for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical CollegePrecision Health Institution, General Electric HealthcareCenter for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical CollegeAbstract 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.https://doi.org/10.1186/s12891-023-06433-7Knee osteoarthritisRadiomicsInfrapatellar fat padMagnetic resonance imaging
spellingShingle Qin Ye
Dong He
Xiaonan Ding
Yajie Wang
Yuguo Wei
Jing Liu
Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature
BMC Musculoskeletal Disorders
Knee osteoarthritis
Radiomics
Infrapatellar fat pad
Magnetic resonance imaging
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 Knee osteoarthritis
Radiomics
Infrapatellar fat pad
Magnetic resonance imaging
url https://doi.org/10.1186/s12891-023-06433-7
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