http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202304 zh-cn An RSS feed for Chinese Journal of Magnetic Resonance Imaging http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.001 ^, service. The Abdominal Group of Chinese Society of Radiology Chinese Medical Association together with experts related to this issue draft an expert consensus on MRCP scanning protocol and clinical application based on the latest MRI technology and experts^, experience and opinion. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.002 t=-7.906, P＜0.01), DST(t=9.380, P＜0.01) and MoCA (t=7.508, P＜0.01) scale scores were significantly different. The left middle frontal gyrus, left inferior frontal gyrus, left globus pallidus, left hippocampus, right middle frontal gyrus and right inferior temporal gyrus were significantly different in the MHE group compared with the control group. The dReHo were higher in the MHE group than in the control group (Gaussian random field corrected, P＜0.05). Correlation analysis showed that MoCA scale scores were negatively correlated with dReHo values in the right middle frontal gyrus (r=-0.50, P＜0.05), and positively correlated with the right inferior temporal gyrus (r=0.70, P＜0.05). Conclusions The intrinsic brain activity variability pattern of MHE patients changed, dReHo has potential value in understanding the neurophysiological mechanisms of MHE and its diagnosis. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.003 P＜0.005, mass level P＜0.01, Gaussian random field adjusted). Conclusions There were common coordination changes related to the visual attention network in different severity of nicotine addicts, and they persisted with the progression of nicotine dependence. In severe nicotine addicts, the specific brain region of abnormal neural activity was observed. These findings provided new insights into the underlying neural mechanisms of different severity nicotine addicts. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.004 CI: 6.21-12.59) and intra-plaque bleeding (OR: 5.23, 95% CI: 3.60-7.59) were significantly associated with ischemic stroke. In five prospective studies, plaque enhancement (HR: 5.21, 95% CI: 2.92-9.31) and intra-plaque bleeding (HR: 2.07, 95% CI: 1.41-3.02) were significantly associated with recurrent ischemic stroke. Conclusions According to the existing studies on symptomatic intracranial atherosclerotic plaque, plaque enhancement and intracplaque hemorrhage are closely related to the occurrence and recurrence of ischemic stroke. Prospective, large-sample size, high-resolution magnetic resonance vascular wall imaging studies on intracranial plaques are needed in the future to improve clinical decision making for intracranial atherosclerotic plaques. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.005 P＜0.05). Group C had lower cerebral blood flow (CBF) around bilateral trigonal of lateral ventricles and corona radiata regions (P＜0.05). The ADC value were negatively correlated with CBF value in the normal white matter area around left frontal subcortical, right corona radiata, right centrum semiovale, anterior horn of bilateral lateral ventricles and trigonal of bilateral lateral ventricles regions (r=-0.326,-0.21,-0.282,-0.443,-0.429,-0.357,-0.383). There was a positive correlation between FA and CBF in the white matter area around the anterior horn of bilateral lateral ventricles regions (r=0.477, 0.268). Conclusions When the WMHs score ranges 4-6 points, DTI combined with ASL imaging can sensitively identify the occult injury in normal white matter areas. The most sensitive area is located in the normal white matter area around the ventricle. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.006 Z=-1.000, P＞0.05). The MMV, AChA and PComA were better visualized on CS TOF-MRA than CTA (both P＜0.05). Thirty-seven hemisphere were enrolled (5 cases of unilateral MMD and 16 cases of bilateral MMD), the dilatation of AChA and PComA, were comparable to CTA (both P＜0.05). Conclusions Within a clinically reasonable time, high-resolution CS TOF-MRA outperforms CTA for visualization of hemorrhage related vascular and is equivalent to CTA for Suzuki classification and the dilatation of hemorrhage related vascular in MMD patients. High-resolution CS TOF-MRA can be used as a priority imaging examination for follow-up review of MMD patients, and has well applied value in clinical practice. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.007 ^,s Hospital from December 2018 to August 2022, including 38 cases of PA and 17 cases of BCA. MRI data of all patients were collected and analyzed from picture archiving and communication system. The PA and BCA were compared and analyzed in time intensity curve (TIC) types, quantitative parameters [volume transfer constant (K^trans), the rate constant (K_ep), fractional volume of the extravascular-extracellular space (V_e), plasma fraction (V_p)] and apparent diffusion coefficient (ADC) value. Rreceiver operating characteristic (ROC) curve was used to evaluate the efficiency of DCE-MRI combined with DWI in distinguishing PA and BCA. Results The mean ADC value of PA [(1.74±0.36)×10^-3 mm²/s] was higher than that of BCA [(1.32±0.13)×10^-3 mm²/s], and the difference was statistically significant (P＜0.05). There were 5 cases of type B and 11 cases of type C in TIC of 17 cases of BCA, and 27 cases of type A, 10 cases of type C in 38 cases of PA. The K_ep value of PA was lower than that of BCA and the V_e value of PA was higher than that of BCA (P＜0.05 ) in the quantitative parameters of DCE-MRI. There was no significant difference in K^trans and V_p values between PA and BCA groups. The area under the curve (AUC) of ADC, TIC, K_ep and V_e were 0.875, 0.808, 0.822 and 0.747, respectively. And the AUC of multi-parameter combination was 0.895-0.952. Conclusions TIC, K_ep, V_e and ADC are all helpful to differentiate BCA and PA in salivary gland, and the combination of multiple parameters further improves its diagnostic efficiency. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.008 v-max and other technical indicators of functional imaging were analyzed by workstation. Receiver operating characteristic (ROC) curves were drawn for statistically significant results to analyze their diagnostic efficiency and obtain diagnostic thresholds. Results The ADC value of benign parotid tumor was higher than that of malignant tumor, and that of malignant tumor and Warthin tumor was lower than that of pleomorphic adenoma. The differences among all groups were statistically significant, with good diagnostic efficacy. The ADC value of Warthin tumor was close to that of malignant tumor, and there was no statistical significance between groups (P＜0.05). The mean values of MK, Kr and Ka in malignant parotid tumors were higher than those in benign tumors (P＜0.05), with statistical significance among all groups and good sensitivity and specificity. The venous distribution of benign parotid tumors was mainly peripheral, and that of malignant tumors was mainly central. The ITSS grade of benign tumors was mainly grade 1, and that of malignant tumors was mainly grade 2-3. The D_v-max of malignant tumors was higher than that of benign tumors, and the difference between each group was statistically significant (P＜0.05). In the joint diagnostic model of DKI, DWI and SWI, MK＞1.0400, Kr＞1.1500, Ka＞0.8670 and ADC＜1.140×10^-3 mm²/s, the maximum vein diameter (D_v-max)＞1.500 mm, the area under the curve is 0.995, the sensitivity is 93.9%, and the specificity is 100.0%. Conclusions DWI, DKI, SWI combined diagnosis model can improve the differential diagnosis efficiency of benign and malignant parotid tumors. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.009 =20.082, 95% CI: 6.661-60.997, P＜0.001), Age (OR=0.958, 95% CI: 0.926-0.991, P=0.014), Altitude of residence (OR=1.001, 95% CI: 1.000-1.002, P=0.018), Hemoglobin (OR=1.022, 95% CI: 1.003-1.043, P=0.026), Average hemoglobin concentration (OR=0.936, 95% CI: 0.895-0.979, P=0.004) were risk factors for CBT; CBT will increase the incidence of ipsilateral carotid plaques (χ²=7.260, P＜0.05); the incidence of plaque has nothing to do with CBT classification (χ²=1.117, P＞0.05); plaque property has nothing to do with the CBT classification (χ²=1.138, P＞0.05). Conclusions CBT increases the incidence of ipilateral carotid plaque; HR-VWI can accurately diagnose CBT and carotid plaque. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.010 P＜0.05). The ROC results showed that each ADC value could effectively distinguish between Luminal type and non-Luminal type of breast cancer. Among them, rADCmin had the best discriminatory efficiency. The optimal cut-off value was 0.599, and the corresponding area under the curve (AUC), sensitivity, and specificity were 0.796 [95% (confidence interval, CI): 0.712-0.864], 90.91% (95% CI: 82.90%-96.00%), and 63.33% (95% CI: 43.90%-80.10%), respectively. There were different degrees of negative correlation between ADCmin, ADCmean, rADCmin, and rADCmean, and Ki-67 proliferation index [r=-0.343 (95% CI: -0.493--0.173), r=-0.474 (95% CI: -0.603--0.321), r=-0.325 (95% CI: -0.478--0.154), r=-0.322 (95% CI: -0.475--0.150), all with P＜0.05]. Conclusions The ADC values can be used to distinguish between Luminal type and non-Luminal type breast cancer, and they can also have some value for assessing the proliferative activity of tumor cells. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.011 P＜0.05). The quantitative parameter volume fraction of extravascular extra vascular space (V_e) of the hormone receptor positive group was larger than that of hormone receptor negative group (P＜0.001), while V_e of the TNBC group was smaller than that of NTNBC group (P＜0.001). Spiculated margin (P＜0.001), IEC (P=0.041), NME (P=0.006) and axillary lymphadenopathy (P=0.029) can distinguish between hormone receptor positive and negative breast cancer. In training group, combined with the above characteristics, a hormone receptor positive breast cancer prediction model was constructed, and the area under curve (AUC) of prediction model was 0.746 (95% CI: 0.681-0.811), sensitivity of 82.8%, specificity of 52.9%, accuracy of 72.3%. In verification group, the AUC of 0.829 (95% CI: 0.730-0.926), and the sensitivity, specificity and accuracy were 78.7%, 74.1% and 77.0%, respectively. Mass shape (P=0.050), spiculated margin (P=0.016), NME (P=0.013) and axillary lymphadenopathy (P＜0.001) were significantly associated with HER-2 positive breast cancer. In training group, the AUC of HER-2 positive breast cancer prediction model combined with these above characteristics was 0.733 (95% CI: 0.665-0.800), sensitivity of 55.6%, specificity of 82.0%, accuracy of 73.1%. In verification group, the AUC of HER-2 positive breast cancer prediction model was 0.649 (95% CI: 0.507-0.791), the sensitivity of 63.6%, and the specificity of 64.9%, the accuracy of 64.9%. The TNBC prediction model was combined with lesion size (P=0.010), nipple change (P=0.016) and V_e (P=0.007). In training group, the AUC of TNBC prediction model was 0.689 (95% CI: 0.600-0.779), and the sensitivity, specificity and accuracy were 80.0%, 52.5% and 57.0%, respectively. The AUC of prediction model in verification group was 0.794 (95% CI: 0.662-0.927), The sensitivity, specificity and accuracy were 86.7%, 67.8% and 71.6%, respectively. The calibration curves of hormone receptor positive, HER-2 positive and TNBC predictive models in training group and verification group showed that the consistency of the models was high. The DCA curve shows that these predictive models could be beneficial among a larger threshold range. Conclusions Some image features and quantitative parameters derived from DCE-MRI are related to the expression of hormone receptor and HER-2, which has the potential to non-invasively predict hormone receptor positive, HER-2 positive and TNBC. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.012 ^, information with pathologically confirmed breast cancer from June 2018 to September 2022 were retrospectively collected, including 139 patients with positive HER-2 and 133 patients with negative HER-2. All cases underwent DCE-MRI examination before treatment. All 272 patients were divided into training set and validation set with a ratio of 7:3 by complete randomization method. In the training set Pearson correlation coefficients, recursive feature elimination and logistic regression were used to perform dimensionality reduction and model construction of intratumoral and peritumoral radiomics data. Multivariate logistic regression was used to screen the independent risk factors in clinical and imaging data, so as to construct the clinical model. Finally, the combined model was constructed by using intratumoral, peritumoral and clinical features. Area under the curve (AUC) was used to evaluate the efficacy of the model, and decision curve analysis (DCA) was used to evaluate the clinical value of the model. Results The AUC of clinical model, intratumoral model, peritumoral model, intratumoral + peritumoral model and combined model in the training set were 0.736, 0.784, 0.806, 0.831, 0.854, and the accuracy was 69.5%, 70.5%, 75.8%, 73.7%, 76.8%, respectively. The sensitivity was 87.6%, 53.6%, 71.1%, 62.9%, 72.2%, and the specificity was 50.5%, 88.2%, 80.6%, 84.9%, 81.7%, respectively. In the verification set, the AUC was 0.731, 0.724, 0.713, 0.780, 0.799, the accuracy was 73.2%, 70.7%, 68.3%, 73.1%, 78.0%, and the sensitivity was 76.2%, 61.9%, 88.1%, 76.2%, 78.6%, respectively. The specificity was 70.0%, 80.0%, 47.5%, 70.0% and 77.5%, respectively. By DeLong^,s test, in the training set there were statistically significant differences between combined model and the clinical model, the intratumoral model and the peritumoral model (Z=3.660, 2.791, 2.201, P=0.0003, 0.005, 0.028). There was no significant difference between the combined model and the intratumoral + peritumoral model (Z=1.583, P=0.114). The results showed that the combined model in the training set and validation set was better than the clinical model, intratumoral model, peritumoral model and intratumoral + peritumoral model in predicting the status of HER-2. DCA showed that the combined model had higher clinical utility than the clinical model, intratumoral model, peritumoral model and intratumoral + peritumoral model at risk thresholds of 13%-60% in the training set. Conclusions The combined model based on DCE-MRI intratumoral and peritumoral radiomics combined with clinical and imaging features can better predict the expression status of HER-2 in breast cancer patients. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.013 ^,s influencing factors. Materials and Methods From October 2018 to March 2022, the data of patients with breast cancer diagnosed by immunohistochemical technique and treated with NAC in General Hospital of Ningxia Medical University were retrospectively collected. According to the breast edema score (BES) on T2WI before NAC, no edema, peritumoral edema, prechest edema, and subcutaneous edema were respectively defined as BES1, BES2, BES3, and BES4. Postoperative pathological complete response (pCR) was used as the evaluation standard for the efficacy of NAC. SPSS software was used for single factor analysis of BES and its clinicopathological characteristics to predict the efficacy. The correlation between BES and tumor diameter, Ki-67, histological grade, NAC schedule, molecular typing, axillary lymph node metastasis was further evaluated. Results A total of 260 subjects were included, and the pCR rate was 40.4% (105/260). Univariate analysis showed that there were significant differences in BES, tumor diameter, Ki-67, NAC schedule and molecular typing between the pCR group and the Non-pCR group (P＜0.05). Analysis of the influencing factors of breast edema showed that BES was correlated with tumor diameter and axillary lymph node metastasis (P＜0.05), and was positively correlated with tumor diameter (r_s=0.442). Conclusions BES is helpful to predict the efficacy of NAC in breast cancer patients, and it is related to tumor diameter and axillary lymph node metastasis. Tumor diameter, Ki-67, NAC schedule and molecular typing were also effective predictors of NAC response. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.014 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.015 P＜0.001), and the differences in FF in the T2DM group were not statistically significant between the left and right lobes of the liver and between the sites of the pancreas (P=0.713, 0.983). There were statistically significant differences in fasting plasma glucose (FPG), triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) between the two groups (P＜0.001). TG and FPG were higher in the T2DM group than in the healthy control group, while HDL-C were higher in the healthy control group than in the T2DM group. There was a statistical correlation between IR and pancreatic mean FF in the T2DM group, with a moderate positive correlation. Conclusions Ectopic fat deposition in the liver and pancreas of T2DM patients can be assessed using the IDEAL-IQ quantitative technique and the liver and pancreas fat distribution is homogeneous, while HOMA-IR and pancreatic mean FF are correlated. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.016 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.017 2), and were confirmed by surgical pathology at Taizhou People^,s Hospital affiliated of Nanjing Medical University from January 2019 to December 2021. Patients with T1 and T2 staging were classified as the non-breakthrough group, and those with T3 and T4 staging were classified as the breakthrough group based on pathological staging. Radiomics features were extracted after manually delineating the volume of interest (VOI) on the lesion, and then independent sample t-tests and support vector machine (SVM) with a linear kernel were used for feature selection and dimensionality reduction, respectively, to select valuable radiomics features. The selected samples were randomly divided into training and validation sets at a ratio of 7∶3 for machine learning to build the SVM classifier model. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of different models in terms of the area under the curve (AUC), sensitivity, specificity, and accuracy for detecting rectal cancer invasion beyond the muscularis propria. The DeLong test was used to compare the differences in AUC between different models. Results A total of 1142 radiomics features were extracted from the HRT2WI and DWI images of each patient^,s tumor tissue and screened by independent sample t-tests and SVM with a linear kernel. The SVM model constructed based on the radiomics features of HRT2WI images had a validation AUC value of 0.894, sensitivity of 90.0%, and specificity of 70.6%. The SVM model constructed based on the radiomics features of DWI images had a validation AUC value of 0.774, sensitivity of 60.0%, and specificity of 76.5%. The final predictive model combining HRT2WI and DWI had significantly better diagnostic performance than other models, with a validation AUC value of 0.927, sensitivity of 80.0%, and specificity of 88.2%. The DeLong test showed significant differences in predictive performance between the combined model and the single sequence models (P＜0.05). Conclusions The radiomics model combining HRT2WI and DWI can effectively evaluate the breakthrough of the muscularis propria of rectal cancer, which may provide assistance for individualized clinical treatment. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.018 *) and perfusion fraction (f). All patients were classified into stages Ⅰ, Ⅱ, Ⅲ and Ⅳ according to Federation of International of Gynecologists and Obstetricians (FIGO) staging. ＜ⅡB stage is early cervical cancer, ≥ⅡB stage is middle-advanced cervical cancer. All data analysis was performed with SPSS 17.0. Results D, D^* and f were significantly lower in the cervical cancer group than in the healthy group (P＜0.001). There were significant differences in f between stages (‍Ⅰ vs. Ⅲ/Ⅳ‍, Ⅱ vs. Ⅲ/Ⅳ), as well as between early and middle-advanced stages cervical cancer (P＜0.05). The combined parameters D+f and D+f+D^* had the best efficacy in identifying cervical cancer with an area under the curve (AUC) of 0.992; D, D+D^* and D+f had the best efficacy in identifying early cervical cancer with an AUC of 0.988. Conclusions Quantitative parameters of IVIM can identify cervical cancer before treatment and have better diagnostic efficacy. It is more effective to diagnose cervical cancer or early cervical cancer using the combined parameters. The parameter f has a certain value in the staging of cervical cancer. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.020 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.021 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.022 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.023 ^,s rehabilitation mechanism for IS motor dysfunction as clinical guidance. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.024 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.025 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.026 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.027 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.028 ^, attention to tumor blood vessels is strengthened, which is helpful to further improve the level of accurate diagnosis and treatment of breast cancer. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.029 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.030 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.031 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.032 ^,s disease (CD) is a chronic nonspecific inflammatory bowel disease of unknown etiology. Perianal fistulizing Crohn^,s disease (pfCD) is the most common complication of CD and frequently occurs in both adults and children. With the continuous development of medical technology, a variety of imaging-assisted examination techniques came into being, such as endoscopy, fistula angiography, examination under anesthesia, endoscopic ultrasonography, MRI etc., can assist in diagnosis. MRI has become the gold standard for the imaging diagnosis of pfCD due to its non-invasive, rapid and accurate characteristics. This paper reviews the diagnostic value, differential diagnosis and efficacy evaluation of pelvic MRI in pfCD. Considering the complexity of pfCD, this paper also discussed the MRI inflammatory activity score, imaging indicators and new MRI based technology of CD, in order to provide theoretical basis for further optimization of diagnosis and treatment strategies for patients with pfCD. ]]> Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.033 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.034 Thu,20 Apr 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.04.035 Thu,20 Apr 2023 00:00:00 GMT