ABSTRACT
Objective:To explore the value of radiomics model based on intratumoral and peritumoral early dynamic contrast-enhanced (DCE) MRI for identifying benign and malignant in breast imaging reporting and data system (BI-RADS) 4 tumors.Methods:A total of 191 patients diagnosed with BI-RADS 4 breast tumors by breast MRI examination with clear pathological diagnosis from January 2016 to December 2020 in the First Affiliated Hospital of Bengbu Medical College were analyzed retrospectively, including 77 benign and 114 malignant cases, aged 23-68 (46±10) years. The one-slice image with the largest area of the lesion of the second stage DCE-MRI images was selected to outline the region of interest, and automatically conformal extrapolated by 5 mm to extract the intra-tumoral and peritumoral radiomics features. The included cases were randomly divided into training and testing cohorts in the ratio of 8∶2. The statistical and machine learning methods were used for feature dimensionality reduction and selection of optimal radiomics features, and logistic regression was used as the classifier to establish the intratumoral, peritumoral, and intratumoral combined with peritumoral radiomics models. The independent risk factors that could predict the benignity and malignancy of breast tumors were retained as clinical-radiological characteristics by univariate and multivariate logistic regression to establish a clinical-radiological model. Finally, the intratumoral and peritumoral radiomics features were combined with clinical-radiological features to develop a combined model of the three. The receiver operating curve was used to analyze the predictive performance of each model and calculate the area under the curve (AUC),the AUC was compared by DeLong test. The stability of the three-component combined diagnostic model was tested by 10-fold cross-validation, and the model was visualized by plotting nomogram and calibration curves.Results:In the training cohort, the AUC of the three-component combined model for identifying benign and malignant BI-RADS 4 breast tumors was significantly higher than that of the intratumoral radiomics model ( Z=3.38, P<0.001), the peritumoral radiomics model ( Z=4.01, P<0.001), the intratumoral combined with peritumoral radiomics model ( Z=3.11, P=0.002), and the clinical-radiological model ( Z=3.24, P=0.001). And the AUC, sensitivity, specificity, accuracy, and F1-score of the three-component combined model were 0.932, 91.2%, 86.9%, 87.0% and 0.89, respectively. In the testing cohort, the three-component combined model also had the highest AUC value (0.875), and diagnostic sensitivity, specificity, accuracy and malignancy F1-score were 95.7%, 62.5%, 76.9%, and 0.89, respectively. The AUC calculated by 10-fold cross-validation was 0.90 (0.85-0.92), and the predicted curve of the three-component combined model in the calibration curve was in good agreement with the ideal curve. Conclusion:The three-component combined diagnostic model based on the intratumoral and peritumoral radiomics features and clinical-radiological features of early DCE-MRI has good performance and stability for identifying the benign and malignant in BI-RADS 4 breast tumors, and it can provide guidance for clinical decision non-invasively.
ABSTRACT
Objective To explore the diagnostic consistency and correlation between MR discography (MRD) and CT discography (CTD) in diagnosing chronic low back pain. Methods Guided by C - arm fluoroscopy the mixed solution of gadoterate meglumine (GD-DOTA) and Iohexol (GD-DOTA at a dilution of 1 ∶ 400 with Iohexol) was injected into 96 lumbar intervertebral discs of the 36 patients. CT scanning was performed at 15 minutes after the injection of contrast, and axial together with sagittal SE T1WI MR scanning was carried out one hour after the injection. CTD and MRD images were randomly numbered and were independently evaluated by two experienced radiologists according to Dallas discogram scale in order to assess the diagnostic consistency and correlation between (MRD) and (CTD). In addition the diagnostic value of MRD was evaluated. Results The results revealed that in determining disc degeneration grade CTD and MRD were highly consistent with each other(Kappa = 0.836, P < 0.01), and the diagnostic results judged by the two reviewers were essentially in agreement (ICC = 1.00, P < 0.01; r = 0.997, P < 0.01). Higher consistency (Kappa = 0.836, P < 0.01) and correlation(ICC = 0.90, P < 0.01; r = 0.869, P < 0.01; Kappa =0.836, P < 0.01) in determining annulus rupture extent were also obtained. Conclusion MRD is an accurate diagnostic method for the determination of disc degeneration and the severity of annulus rupture, and this technique has greater consistency and correlation with CTD in diagnosing chronic low back pain.