Application of quantitative CT-based imaging histology in the diagnosis of osteoporosis
10.3969/j.issn.1002-1671.2024.03.020
- VernacularTitle:基于定量CT的影像组学在骨质疏松症诊断中的应用研究
- Author:
Huafang CHEN
1
;
Jian QIN
Author Information
1. 临沂市中医医院医学影像科,山东 临沂 276037
- Keywords:
osteoporosis;
radiomics;
computed tomography;
bone mineral density
- From:
Journal of Practical Radiology
2024;40(3):430-434
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the application value of quantitative computed tomography(QCT)-based imaging histology in the diagnosis of clinical osteoporosis.Methods A total of 182 patients who underwent QCT scans of the chest or abdomen were ana-lyzed retrospectively,and the patients were divided into osteoporosis group(56 cases)and non-osteoporosis group(126 cases)accord-ing to the bone mineral density(BMD)values measured by QCT.The cases were randomly divided into training set(110 cases)and validation set(72 cases)at a ratio of 6︰4.The L1-L2 vertebrae were outlined with the region of interest(ROI)and the image features were extracted using ITK-SNAP 3.6.0 and A.K.software.(1)Radiomics score(Rad-score)model was established using maximum relevance minimum redundancy(mRMR)and least absolute shrinkage and selection operator(LASSO)algorithm.(2)The L1 and L2 vertebrae BMD value and T-value from the dual energy X-ray absorptiometry(DXA)examination of the patient were obtained to build the model separately for analysis and for comparison with the Rad-score model.(3)The discriminative ability,clinical applica-tion performance and calibration ability of Rad-score in the training and validation sets were evaluated using receiver operating charac-teristic(ROC)curves,decision curve analysis(DCA)and calibration curves.(4)Data on sensitivity,specificity,accuracy and area under the curve(AUC)were used to compare the predictive ability of DXA and Rad-score.DeLong test was used for comparison of differences between Rad-score and DXA models.Results Four optimal ima-ging histology features were finally selected to create Rad-score model,which confirmed the significant correlation between Rad-score and QCT for the diagnosis of osteoporosis.The calibration curve showed that Rad-score model had a good fit in both the training set and the validation set.The results of the DeLong test showed that the AUC of Rad-score model were greater than those of DXA model.Conclusion The QCT-based imaging histology model has high sen-sitivity,specificity and accuracy,with outstanding advantages and good performance for osteoporosis diagnosis,and is superior to the DXA model.
