Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective To explore the effectiveness of high-definition diffusion weighted imaging(DWI)sequence combined with T1 WI-fat suppression(FS)dynamic contrast enhancement(DCE)sequence for preoperative T-stage of rectal cancer by using 3.0T MRI standardized scanning.Methods A retrospective analysis was conducted on MRI images of 57 patients with rectal cancer confirmed by pathology.Before surgery,the patients underwent 3.0T MRI standardized rectal cancer scan methods,including routine sequence,high-definition DWI sequence,and T1 WI-FS DCE sequence,etc.Then two experienced physicians evaluated the T-stage of preoperative rectal cancer through high-definition DWI(transverse and sagittal sections)and T1 WI-FS DCE sequences in the double-blind method.Using the postoperative pathological results of rectal cancer as the"gold standard",two sequences were combined to evaluate the accuracy,sensitivity,and specificity of rectal cancer T-stage.Results Among the 57 cases,there were 9 cases of upper rectal cancer,39 cases of middle rectal cancer,and 9 cases of lower rectal cancer.The accuracy rates of preoperative T-stage diagnosis for rectal cancer by two evaluator were both 85.7％(6/7)in T1 stage,88.2％(15/17)and 94.1％(16/17)in T2 stage,96.9％(31/32)and 93.8％(30/32)in T3 stage,and both 100.0％(1/1)in T4 stage.For evaluator 1,the sensitivity and specificity of the rectal cancer T-stage diagnosis were 96.1％and 83.3％,and for evaluator 2 were 94.1％and 83.3％,respectively.For rectal cancer MRI diagnosis,the accuracy rates and sensitivity were higher when combining the high-definition DWI sequence and T1 WI-FS DCE sequence,compared with a single high-definition DWI sequence or T1 WI-FS DCE sequence,and the difference was statistically significant.The average preoperative apparent diffusion coefficient(ADC)value of rectal cancer was compared between the corresponding postoperative pathological T1 to T4 stage groups,and the difference was statistically significant.Conclusion The combination of high-definition DWI sequence and T1 WI-FS DCE sequence improves the accuracy of rectal cancer T-stage,providing assistance for personalized clinical treatment.

Objective:To explore the value of nomogram based on arterial spin labeling (ASL) MRI perfusion parameters and clinicopathological features in predicting the response to chemoradiotherapy (CRT) in advanced nasopharyngeal carcinoma (ANPC, stage Ⅲ and Ⅳ).Methods:From June 2018 to January 2021, 70 patients with ANPC confirmed by pathology were prospectively enrolled in Affiliated Hospital of Jiangnan University. Nasopharyngeal MRI plain scan, ASL and contrast-enhanced scan were performed before CRT, and routine MRI re-examination was performed within 1 week after the end of CRT. The pre-CRT perfusion parameter tumor blood flow (TBF) from ASL and clinicopathological features were recorded, and the maximum diameter (MD) of the tumor on T 1WI images was measured. The patients were divided into CRT effective group (48 cases) and ineffective group (22 cases) according to the response evaluation criteria in solid tumors. The independent sample t test was used to compare the differences of TBF, age and MD between effective group and ineffective group. The χ 2 test was used to compare the differences of gender, clinical stage and pathological type between the 2 groups. Using binary logistic regression analysis, clinicopathological model and TBF combined clinicopathological model were constructed, and the nomogram of combined model was constructed. The diagnostic efficacy of the models was obtained by receiver operating characteristic (ROC) curve analysis, and the area under the ROC curves (AUC) of the 3 models were compared by DeLong method. The calibration curve for the nomogram was generated, and the concordance index (C index) was acquired. Results:The TBF of the effective group and the ineffective group were (113±9) and (97±14) ml·100 g -1·min -1, with a statistical difference ( t=5.17, P<0.001). The MD value of the effective group was smaller than that of the ineffective group, with a statistical difference ( t=-2.24, P=0.028). There were statistical differences in clinical stage and pathological type between the 2 groups (χ 2 values were 12.21 and 12.95, respectively, both P<0.001). Three independent predictors, including TBF (OR=7.749), clinical stage (OR=0.129) and pathological type (OR=5.228), were included in logistic regression analysis. The AUC, sensitivity and specificity of TBF model in predicting the response to CRT were 0.843, 87.5% and 72.7%, of clinicopathological model were 0.822, 80.2% and 59.1%, of the nomogram model were 0.893, 81.2% and 90.9%. There was no statistical difference of AUC between the nomogram model and TBF model ( Z=1.23, P=0.215). However, the AUC of the nomogram model was greater than that of the clinicopathological model ( Z=2.47, P=0.031). The calibration curve showed that there was a good concordance index (C index=0.892) between the predicted value of nomogram and the actual clinical observation value. Conclusion:TBF, clinical stage and pathological type are independent predictors of the response to CRT in ANPC patients, and the nomogram based on these three factors has a good ability in predicting the response to CRT.

Objective TostudythevalueofDCE-MRItechniqueindifferentialdiagnosisofthyroidadenoma(TA)andpapillary thyroidcarcinoma(PTC).Methods 71thyroidnoduleswereanalyzedretrospectively,includingTA (28cases)andPTC (43cases), whichwereconfirmedbyhistologyafterMRIscanning.AfterconventionalMRIandDCE-MRIwereperformed,TICswereobtained. ThediagnosticindicatorsofPTCwithDCE-MRItechniquewereanalyzed,includingthesensitivity,specificity,accuracy,positivepredictive valueandnegativepredictivevalue.Results 23TAshowedⅠcurve,41PTCshowedⅢcurve,5TAand2PTCshowedⅡcurve, withstatisticallysignificantdifference(P＝0.000).Thesensitivity,specificity,accuracy,positivepredictivevalueandnegativepredictive valuewere95.3%,82.1%,90.1%,89.1%and92.0%,respectively.Conclusion DCE-MRItechniquehelpstoidentifyTAandPTC, andTICcanbeamorecomprehensivemethodtoanalyzemicrovascularhemodynamicprocessesofTAandPTC.

Objective To evaluate the diagnostic value of preoperative ultrasonography(US)and magnetic resonance imaging (MRI) for the extrathyroidal extension (ETE) in patients with papillary thyroid carcinoma(PTC).Methods The clinical data of 90 patients with PTC from January 2013 to June 2016 were analyzed retrospectively,and all patients were examined by US and MRI before operation.The diagnostic sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of minimal ETE, extensive ETE and ETE (minimal ETE + extensive ETS) were compared between UC and MRI.Results The diagnostic minimal ETE sensitivity of UC was significantly higher than that of MRI (81.9% vs.60.0%), and there was statistical difference (P<0.05).The diagnostic extensive ETE specificity of MRI was significantly higher than that of UC(80.9% vs.63.5%),and there was statistical difference (P<0.01).The diagnostic ETE sensitivity and NPV of UC were significantly higher than those of MRI(97.4% vs.88.3% and 80.0% vs.50.0%),and there were statistical differences (P<0.05 or <0.01).Conclusions US has a higher sensitivity, compared with MRI for diagnostic minimal ETE.MRI has a higher specificity for diagnostic extensive ETE,compared with US.And US has a higher sensitivity and NPV for diagnostic ETE,compared with MRI.

Objective To compare the image features of magnetic resonance imaging (MRI) and ultrasound (US) for papillary thyroid carcinoma(PTC).Methods From January 2015 to April 2016,86 consecutive patients underwent surgery and pathologically confirmed PTCs in the People 's Hospital Affiliated to Jiangsu University were selected.All patients received neck US and MRI examination before thyroid surgery .For each case,the US and MRI features emphasized included the echogenic /signal,margin,shape,anteroposterior to transverse diameter ratio (A/T), microcalcifications and lymph node metastasis .Statistical analysis was performed using the χ2 test.Results In the comparison of US and MRI features,A/T≥1(41.9％in US and 62.8％in MRI) and lymph node metastasis(88.0％in MRI;56.0％in US) demonstrated statistically significant differences (χ2 =7.551,P=0.009;χ2 =6.349,P=0.025),and no significant differences were observed in the margin ,shape(P=0.724,P=0.316).Conclusion The MRI features of PTCs included A/T and lymph node metastasis was superior to US .