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Objective:To investigate the feasibility and effectiveness of the blended teaching model for diagnostic radiology based on BOPPPS classroom reconstruction, i.e., bridge-in, objective, pre-assessment, participatory-learning, post-assessment, and summary.Methods:The undergraduate students in the classes of 2017 and 2018 in Department of Medical Imaging were selected as research subjects. The students in the class of 2018 were established as observation group and received the innovative blended teaching model based on BOPPPS classroom reconstruction, and those in the class of 2017 were established as control group and received teaching with traditional theoretical lectures. At the end of the course, 80 students were randomly selected from the observation group and the control group for performance analysis and teaching evaluation. SPSS 26.0 was used to perform the t-test. Results:The observation group had a total score of (82.66±6.18), while the control group had a total score of (76.47±5.42), and compared with the control group, the observation group had significantly higher scores of homework score, course discussion, and final examination ( P<0.05). Compared with the control group, the observation group had significantly higher scores of "understanding of the basic knowledge of imaging", "improvement of comprehensive diagnostic thinking ability", "stimulating the interest in learning and expanding horizons", and "cultivating clinical competence" in the self-evaluation survey ( P<0.05). Conclusion:The blended teaching model based on BOPPPS classroom reconstruction is suitable for the teaching of radiology diagnostics. It not only enriches teaching means and methods and enhances classroom participation and interaction, but also expands teaching space and teaching content.
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Objective@#To improve the N biomarker in the amyloid/taueurodegeneration system by radiomics and study its value for predicting cognitive progression in individuals with mild cognitive impairment (MCI). @*Materials and Methods@#A group of 147 healthy controls (HCs) (72 male; mean age ± standard deviation, 73.7 ± 6.3 years), 197 patients with MCI (114 male; 72.2 ± 7.1 years), and 128 patients with Alzheimer’s disease (AD) (74 male; 73.7 ± 8.4 years) were included. Optimal A, T, and N biomarkers for discriminating HC and AD were selected using receiver operating characteristic (ROC) curve analysis. A radiomics model containing comprehensive information of the whole cerebral cortex and deep nuclei was established to create a new N biomarker. Cerebrospinal fluid (CSF) biomarkers were evaluated to determine the optimal A or T biomarkers. All MCI patients were followed up until AD conversion or for at least 60 months. The predictive value of A, T, and the radiomics-based N biomarker for cognitive progression of MCI to AD were analyzed using Kaplan-Meier estimates and the log-rank test. @*Results@#The radiomics-based N biomarker showed an ROC curve area of 0.998 for discriminating between AD and HC. CSF Aβ42 and p-tau proteins were identified as the optimal A and T biomarkers, respectively. For MCI patients on the Alzheimer’s continuum, isolated A+ was an indicator of cognitive stability, while abnormalities of T and N, separately or simultaneously, indicated a high risk of progression. For MCI patients with suspected non-Alzheimer’s disease pathophysiology, isolated T+ indicated cognitive stability, while the appearance of the radiomics-based N+ indicated a high risk of progression to AD. @*Conclusion@#We proposed a new radiomics-based improved N biomarker that could help identify patients with MCI who are at a higher risk for cognitive progression. In addition, we clarified the value of a single A/T/N biomarker for predicting the cognitive progression of MCI.
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Objective:To explore the impact of applying the imaging cloud platform to medical imaging practice teaching on diagnostic thinking ability and learning experience of students.Methods:Eighty-eight students of Batch 2016 from the Department of Medical Imaging of Chongqing Medical University were randomly divided into two groups, with 44 students in each group. The experimental group was taught by the imaging cloud platform, and the control group was taught by traditional practice. Differences in diagnostic thinking ability and learning experience were compared between the two groups after 4 weeks. SPSS 22.0 was used for t-test. Results:The total score of the diagnostic thinking ability test in the experimental group was higher than that in the control group [(80.63±6.10) vs. (70.36±8.09)], and the difference was statistically significant ( P<0.05). There were statistically significant differences in the scores of three items: description of signs, differential diagnosis and key points, and new progresses and recommendations ( P<0.05). For the five aspects of the learning experience in the questionnaire survey, the scores of the experimental group were higher than those of the control group, and all the differences were statistically significant ( P<0.05). Conclusion:The application of imaging cloud platform in imaging practice teaching has important value in improving diagnostic thinking ability and learning experience of students, and it is worthy of practice and promotion.
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Objective@#To determine whether noncontrast computed tomography (NCCT) models based on multivariable, radiomics features, and machine learning (ML) algorithms could further improve the discrimination of early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH). @*Materials and Methods@#We retrospectively reviewed 261 patients with sICH who underwent initial NCCT within 6 hours of ictus and follow-up CT within 24 hours after initial NCCT, between April 2011 and March 2019. The clinical characteristics, imaging signs and radiomics features extracted from the initial NCCT images were used to construct models to discriminate early HE. A clinical-radiologic model was constructed using a multivariate logistic regression (LR) analysis. Radiomics models, a radiomics-radiologic model, and a combined model were constructed in the training cohort (n = 182) and independently verified in the validation cohort (n = 79). Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate the discriminative power. @*Results@#The AUC of the clinical-radiologic model for discriminating early HE was 0.766. The AUCs of the radiomics model for discriminating early HE built using the LR algorithm in the training and validation cohorts were 0.926 and 0.850, respectively.The AUCs of the radiomics-radiologic model in the training and validation cohorts were 0.946 and 0.867, respectively. The AUCs of the combined model in the training and validation cohorts were 0.960 and 0.867, respectively. @*Conclusion@#NCCT models based on multivariable, radiomics features and ML algorithm could improve the discrimination of early HE. The combined model was the best recommended model to identify sICH patients at risk of early HE.
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Objective@#To investigate the value of initial CT quantitative analysis of ground-glass opacity (GGO), consolidation, and total lesion volume and its relationship with clinical features for assessing the severity of coronavirus disease 2019 (COVID-19). @*Materials and Methods@#A total of 84 patients with COVID-19 were retrospectively reviewed from January 23, 2020 to February 19, 2020. Patients were divided into two groups: severe group (n = 23) and non-severe group (n = 61). Clinical symptoms, laboratory data, and CT findings on admission were analyzed. CT quantitative parameters, including GGO, consolidation, total lesion score, percentage GGO, and percentage consolidation (both relative to total lesion volume) were calculated. Relationships between the CT findings and laboratory data were estimated. Finally, a discrimination model was established to assess the severity of COVID-19. @*Results@#Patients in the severe group had higher baseline neutrophil percentage, increased high-sensitivity C-reactive protein (hs-CRP) and procalcitonin levels, and lower baseline lymphocyte count and lymphocyte percentage (p < 0.001). The severe group also had higher GGO score (p < 0.001), consolidation score (p < 0.001), total lesion score (p < 0.001), and percentage consolidation (p = 0.002), but had a lower percentage GGO (p = 0.008). These CT quantitative parameters were significantly correlated with laboratory inflammatory marker levels, including neutrophil percentage, lymphocyte count, lymphocyte percentage, hs-CRP level, and procalcitonin level (p < 0.05). The total lesion score demonstrated the best performance when the data cut-off was 8.2%. Furthermore, the area under the curve, sensitivity, and specificity were 93.8% (confidence interval [CI]: 86.8–100%), 91.3% (CI: 69.6–100%), and 91.8% (CI: 23.0–98.4%), respectively. @*Conclusion@#CT quantitative parameters showed strong correlations with laboratory inflammatory markers, suggesting that CT quantitative analysis might be an effective and important method for assessing the severity of COVID-19, and may provide additional guidance for planning clinical treatment strategies.
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Objective To investigate the differential diagnostic value of computed tomography (CT) combined with serum tumor markers in borderline ovarian tumors (BOT) and benign epithelial ovarian tumors (BET).Methods The CT data in 28 patients with BOT and 41 patients with BET,both confirmed by surgery and pathological,were analyzed retrospectively.Their preoperative serum carbohydrate antigen 125 (CA125),human epididymis secretory protein 4 (HE4) and carcinoembryonic antigen (CEA) detection results were collected.The CT images features and serum tumor markers levels were compared between the two groups.Results The difference in the appearance rate of tumor solid composition,thick septum and wall nodule between the two groups had statistical significance (x2 =25.135,5.240,5.066,P＜0.05).The serum CA125 level had statistical difference between the two groups (Z=3.202,P＜0.05),while serum HE4 and CEA levels had no statistically significant difference between the two groups(Z=0.330,1.122,P＞0.05).The optimal critical value,sensitivity and specificity of serum CA125 level in differential diagnosis of two kinds of tumor was 42.45 U/mL,53.6％ and 85.4％.The overall diagnostic rate of solid composition and thick septum for diagnosing the two kinds of tumor was 78.5 ％.The overall diagnostic rate of solid composition,thick septum and CA125 level for diagnosing the two kinds of tumor was 81.2％.Conclusion The appearance of solid composition,thick septum and serum CA125 level increase in epithelial ovarian tumor may help to identify BOT and BET.
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It has been a general trend to open the 5+3 medical personnel training mode of radiology in China.But at present,there are still a lot of problems during the process,such as,lack of training plan,unified teaching materials and examination index for reference,lack of learning consciousness and self-discipline among the students who participate in the standardization training,lack of adequate teaching resources in the standardization training base,and so on.In order to cultivate qualified and high-quality radiologists,this paper discussed the ways of forming a new set mode of 5+3 medical personnel training in the radiology department through exploration and practice,including strengthening teachers' construction and building a professional teachers troop,reforming the teaching method of standardization training,improving the teaching base infrastructure,establishing and perfecting the assessment evaluation mechanism.
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In view of the problems existing in medical image network teaching, such as redundant and rigid curriculum system, obsolete structure, untimely updates, lack of supervision system and poor stability of network security and so on, we explored how to improve the medical image network teaching from the fusion of traditional teaching, optimizing curriculum system, perfecting the medical imaging system of autonomous learning, encouraging online communication, creating a good atmosphere, increasing invest-ment in software development and multi-sectoral collaboration, in order to complete the transfer of knowl-edge more effectively, and promote the good development of medical imaging teaching.
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Objective To evaluate the value of 320 row CT upper abdominal computed tomography angiography (CTA) in the follow up of transjugular intrahepatic portosystemic shunt(TIPSS) .Methods 21 cases after TIPSS therapy underwent upper ab-dominal CTA .Post-processing images ,including MPR ,VR ,MIP ,and CPR ,were used to determine the position and patency of the stent .The best images of the portal veins were obtained .Results Among the 21 cases ,CPR image clearly demonstrated endovascu-lar stent thrombosis in 3 cases(14 .29% ) with stent occlusion and 1 case(4 .76% ) with stent stenosis ;there were no stent stenosis or occlusion in 17 cases(80 .95% ) ,their CPR image showed the contrast agent was filled completely in the stent and no low-density thrombosis was found .The best phase of the portal vein was 45 s .Conclusion 320 row CT upper abdominal CTA can clearly dis-play the stent position and patency situation in patients ,therefore ,should be regarded as the first choice for the follow-up of patients after TIPSS therapy .
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This article utilizes the latest digitization development trend of medical imaging teaching to illustrate the value of digitization in medical imaging, which discusses the setting up meaning, establishing methods, management and application, etc. of digital teaching data base.
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This article discussed the problems in teaching medical imaging from such aspects as teaching contents,methods,conditions and teacher cultivation on the basis of our teaching practice.
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Objective To evaluate the reproducibility and agreement in the measurement of liver volume with multi-slice spiral computed tomography(CT).Methods Spiral CT was performed in 20 cases(14 healthy volunteers and 6 patients with cirrhosis).Images were transferred to a workstation,and volumes were measured by three observers with 5-year abdominal CT experience.Each observer performed the measurements in all subjects twice.Intra-observer and inter-observer variability was calculated using analysis of variance of the repeatedly measured results.The agreement was analyzed with the intra-class correlation coefficient(ICC).Reliability analysis in inter-observer was performed with Cronbach's alpha coefficient.Results Data measured by Observer A were(1 265.53?421.43)cm3 and(1 272.30?414.73)cm3 [difference:(0.80?2.20)%,P=0.15,ICC=0.998 8],Observer B(1 299.97?403.48)cm3 and(1 310.23?404.04)cm3 [difference:(0.90?1.90)%,P=0.07,ICC=0.998 3],Observer C(1 282.18?425.91)cm3 and(1 289.73?424.66)cm3 [difference:(0.70?2.60)%,P=0.19,ICC=0.998 3],respectively.The mean liver volumes by the three observers were(1 268.91?418.07)cm3,(1 305.10?403.59)cm3,and(1 285.97?425.10)cm3,respectively(P=0.07,ICC=0.986 9,Cronbach's alpha coefficient=0.995 6).Conclusion High reproducibility and agreement in the measurement of liver volume can be achieved with multi-slice spiral CT.
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Objective To investigate the clinical values and influencing factors of1H magnetic resonance spectroscopy(1H-MRS) in breast tumors.Methods Thirty-eight patients with breast tumors confirmed pathologically,including 20 cases of breast cancers and 18 cases of benign tumors examined by dynamic contrast-enhanced MRI and1H-MRS were studied retrospectively in comparison with pathology.The value of1H-MRS in detecting breast cancers was evaluated.Results On1H-MRS,11 breast cancers had increased choline peaks and 3 benign tumors presented increased choline peaks.The sensitivity,specificity and accuracy were 55.0%,83.3%and 68.4% respectively by using choline peak to detect breast cancers.Conclusion 1H-MRS has high diagnostic specificity for breast cancer.The low sensitivity of Choline to be detected rate in breast cancer is mainly dues to the lesions and technique factors.
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Objective:To establish a stable animal model of acute cerebral venous occlusion and to evaluate the model with DWI,PWI,MRS and DTI in observing the changing regularity of the brain parenchymal lesions.Methods:Thirty cats were randomly divided into 2 groups,operation group(n=24) and sham operation group(n=6).Operation group was performed by injection of the cellulose acetate polymer(CAP) solution into the superior sagittal sinus(SSS) to establish the acute cerebral venous occlusion,while sham operation group underwent only the exposure of SSS.MRI was performed at 1,3,6,12,24 and 48h after operation.Results:Twenty-two cats in operation group were operated successfully.Twenty-five lesions were detected on DWI in 14 cats.Thirty-one abnormal perfusion regions were detected on PWI in 17 cats.MRS showed that Lac increased obviously in 1h after operation and decreased gradually later,and NAA decreased in 3h.DTI showed that ADCav values decreased in 1h,increased 3h later and FA values decreased at all time points after operation.The microscopic changes were mainly vasogenic edema and followed by venous cerebral infarction and cerebral hemorrhage in 12h.No abnormal findings were observed in sham operation group.Conclusion:Establishment of acute cerebral venous occlusion model by injection of CAP solution into SSS is feasible.The model is suitable for pathophysiological and radiological studies.DWI combined PWI,MRS and DTI have great value in judging the dynamic changes and the etiopathogenesis of brain parenchymal lesions in acute cerebral venous occlusion.