A Preliminary Study on the Diagnosis of Osteoporosis in Peri-menopausal Women Based on Apparent Diffusion Coefficient Imaging
Objective To explore the value of imaging diagnosis of osteoporosis in peri-menopausal women based on apparent diffusion coefficient(ADC).Methods Perimenopausal women(170 cases)admitted to our hospital from September 2020 to September 2022 were retrospectively selected as the study objects.170 patients were divided into a training set(130 cases)and a validation set(40 cases)using random number table method.According to whether osteoporosis occurred,the patients in the training set were divided into an osteoporosis group(72 cases)and a non-osteoporosis group(58 cases).The clinical data of the two groups were compared.Logistic regression models of imaging and clinical factors were constructed to obtain the Rad-score and clinical-score of each patient.The variables are further screened through the generalized linear regression model,and the joint prediction model is constructed to obtain the combination-score.The model was verified by receiver operating characteristic curve(ROC),Hosmer-Lemeshow test and decision curve analysis(DCA).Results The clinical score(Clinic-score)was 0.515 × ADC+0.211 × SIR+0.681 × BMD+0.373 × NMID+0.428 × PINP+0.602 × CTX+0.586 × vitamin+0.862 × serum calcium+0.945 × serum phosphorus+0.709 × E2.Imaging score(Rad-score)=-1.356×original_ngtdm_Busyness+0.926×wavelet.LHL_firstorder_Median+2.815×wavelet.LHH_ngtdm_Busyness-0.719×log.sigma.3.0.mm.3D_gldm_DependenceVariance-1.528.The combined score(Combine-score)was 1.686 × Rad-score+1.861 × ADC+1.916 × SIR+0.371 × BMD+0.213 × NMID+0.539 × PINP+0.931 × CTX+1.174 × vitamin+0.759 × serum calcium+0.493 × serum phosphorus+0.899 × E2.There were significant differences in Rad score,Clinic score and Combine score between osteoporosis group and non-osteoporosis group(P＜0.05).The AUC of clinical prediction model was significantly different from that of imaging omics model and combined prediction model in training set and validation set(P＜0.05).The verification results showed that all models fit well in both the training set and the verification set(P＞0.05).Conclusion Compared with the simple clinical prediction model and the imaging omics model,the combined prediction model has the best differential ability,and has higher diagnostic value in the diagnosis of perimenopausal female osteoporosis.
ADC Imaging GroupPeri-menopausal WomenDiagnosis Of Osteoporosis
NETL
NSTL
万方数据
维普
