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Bone Radiomics Score Derived From DXA Hip Images Enhances Hip Fracture Prediction in Older Women

Authors
 Namki Hong  ;  Heajeong Park  ;  Chang Oh Kim  ;  Hyeon Chang Kim  ;  Jin-Young Choi  ;  Hwiyoung Kim  ;  Yumie Rhee 
Citation
 JOURNAL OF BONE AND MINERAL RESEARCH, Vol.36(9) : 1708-1716, 2021-09 
Journal Title
JOURNAL OF BONE AND MINERAL RESEARCH
ISSN
 0884-0431 
Issue Date
2021-09
Keywords
DXA ; FRACTURE RISK ASSESSMENT ; OSTEOPOROSIS
Abstract
Dual-energy X-ray absorptiometry (DXA)-based bone mineral density testing is standard to diagnose osteoporosis to detect individuals at high risk of fracture. A radiomics approach to extract quantifiable texture features from DXA hip images may improve hip fracture prediction without additional costs. Here, we investigated whether bone radiomics scores from DXA hip images could improve hip fracture prediction in a community-based cohort of older women. The derivation set (143 women who sustained hip fracture [mean age 73 years, time to fracture median 2.1 years] versus 290 age-matched women [mean age 73 years] who did not sustain hip fracture during follow-up [median 5.5 years]) were split into the train set (75%) and the test set (25% hold-out set). Among various models using 14 selected features out of 300 texture features mined from DXA hip images in the train set, random forest model was selected as the best model to build a bone radiomics score (range 0 to 100) based on the performance in the test set. In a community-based cohort (2029 women, mean age 71 years) as the clinical validation set, the bone radiomics score was calculated using a model fitted in the train set. A total of 34 participants (1.7%) sustained hip fracture during median follow-up of 5.4 years (mean bone radiomics score 40 ± 16 versus 28 ± 12 in non-fractured, p < 0.001). A one-point bone radiomics score increment was associated with a 4% elevated risk of incident hip fracture (adjusted hazard ratio [aHR] = 1.04, p = 0.001) after adjustment for age, body mass index (BMI), previous history of fracture, and femoral neck T-score, with improved model fit when added to covariates (likelihood ratio chi-square 10.74, p = 0.001). The association between bone radiomics score with incident hip fracture remained robust (aHR = 1.06, p < 0.001) after adjustment for FRAX hip fracture probability. Bone radiomics scores estimated from texture features of DXA hip images have the potential to improve hip fracture prediction. © 2021 American Society for Bone and Mineral Research (ASBMR).
Full Text
https://asbmr.onlinelibrary.wiley.com/doi/10.1002/jbmr.4342
DOI
10.1002/jbmr.4342
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Others (기타) > 1. Journal Papers
Yonsei Authors
Kim, Chang Oh(김창오) ORCID logo https://orcid.org/0000-0002-0773-5443
Kim, Hyeon Chang(김현창) ORCID logo https://orcid.org/0000-0001-7867-1240
Kim, Hwiyoung(김휘영)
Rhee, Yumie(이유미) ORCID logo https://orcid.org/0000-0003-4227-5638
Choi, Jin Young(최진영) ORCID logo https://orcid.org/0000-0002-9025-6274
Hong, Nam Ki(홍남기) ORCID logo https://orcid.org/0000-0002-8246-1956
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/185093
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