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1.
Chinese Journal of Orthopaedics ; (12): 1084-1092, 2022.
Article in Chinese | WPRIM | ID: wpr-957102

ABSTRACT

Methods:Two thousand standard sections images werre collected from 2 000 clinical retrospective pediatric hip ultrasound videos from January 2019 to January 2021. All standard sections were annotated by the annotation team through the self-designed software based on Python 3.6 environment for image cross-media data annotation and manual review standardization process with unified standards. Among them, 1 753 were randomly selected for training the deep learning system, and the remaining 247 were used for testing the system. Further, 200 standard sections were randomly selected from the test set, and 8 clinicians independently completed the film reading annotation. The 8 independent results were then compared with the AI results.Results:The testing set consists of 247 patients. Compared with the clinician's measurements, the area under the receiver operating characteristic curve (AUC) of diagnosing hip joint maturity was 0.865, the sensitivity was 76.19%, and the specificity was 96.9%. The AUC of AI system interpretation under Graf detailed typing was 0.575, the sensitivity was 25.90%, the specificity was 89.10%. The 95% LoA of α-angle determined by Bland-Altman method, of -4.7051° to 6.5948° ( Bias -0.94, P<0.001), compared with clinicians' measurements. The 95% LoA of β-angle, of -7.7191 to 6.8777 ( Bias -0.42, P=0.077). Compared with those from 8 clinicians, the results of AI system interpretation were more stable, and the β-angle effect was more prominent. Conclusion:The AI system can quickly and accurately measure the Graf correlation index of standard DDH ultrasonic standard diagnosis plane.

2.
Journal of Practical Radiology ; (12): 186-189, 2017.
Article in Chinese | WPRIM | ID: wpr-507446

ABSTRACT

Objective To assess the diagnostic value of 3D-enhanced T2 ? weighted angiography (ESWAN )in evaluating superficial siderosis of the central nervous system (SS-CNS)after traumatic subarachnoid hemorrhage (tSAH).Methods ESWAN and GRE T2 ? WI sequence were performed on 30 patients with tSAH,detection rate and the number of distribution areas of SS-CNS were compared between the two sequences.A McNemar’s test and Wilcoxon signed-rank test were used to analyze the differences between T2 ? WI and ESWAN images sequences. Results In the tSAH group,29 of 30 patients (96.7%)showed SS-CNS on ESWAN images,the total number of SS-CNS regions was 134.Identified SS-CNS positive rate respectively was 95.8% (23/24)on ESWAN images and 66.7% (1 6/24)on T2 ? WI in 24 patients simultaneously perform ESWAN and T2 ? WI sequences.A McNemar ’s test showed that there was significant difference between the positive rates of two sequences in detecting the SS-CNS (χ2 =7.0,P <0.05).The number of SS-CNS regions on ESWAN images and T2 ? WI was 106 and 34 respectively.The Wilcoxon signed rank test showed that the number of SS-CNS regions difference between two sequences was significant (Z =-4.225,P <0.01).Conclusion Various degress of SS-CNS are detected in a majority of tSAH atients.ESWAN sequence is a reliable and efficient method for assessment of SS-CNS.

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