Radiomics reflects the texture and morphological features of tumours by quantitatively analysing the grey values of medical images. We aim to develop a nomogram incorporating radiomics and the Breast Imaging Reporting and Data System (BI-RADS) for predicting breast cancer in BI-RADS ultrasound (US) category 4 or 5 lesions. From January 2017 to August 2018, a total of 315 pathologically proven breast lesions were included. Patients from the study population were divided into a training group (n = 211) and a validation group (n = 104) according to a cut-off date of March 1 st , 2018. Each lesion was assigned a category (4A, 4B, 4C or 5) according to the second edition of the American College of Radiology (ACR) BI-RADS US. A radiomics score was generated from the US image. A nomogram was developed based on the results of multivariate regression analysis from the training group. Discrimination, calibration and clinical usefulness of the nomogram for predicting breast cancer were assessed in the validation group. The radiomics score included 9 selected radiomics features. The radiomics score and BI-RADS category were independently associated with breast malignancy. The nomogram incorporating the radiomics score and BI-RADS category showed better discrimination (area under the receiver operating characteristic curve [AUC]: 0.928; 95% confidence interval [CI]: 0.876, 0.980) between malignant and benign lesions than either the radiomics score ( P = 0.029) or BI-RADS category ( P = 0.011). The nomogram demonstrated good calibration and clinical usefulness. In conclusion, the nomogram combining the radiomics score and BI-RADS category is potentially useful for predicting breast malignancy in BI-RADS US category 4 or 5 lesions.
Objectives The current study sought to explore the effects of ultrasound (US)‐guided radiofrequency ablation (RFA) on papillary thyroid microcarcinoma (PTMC) and influencing factors. Methods PTMC patients were assigned to observation (US‐guided RFA) and control (surgical operation) groups. A series of operation‐related indexes (operation time, intraoperative bleeding, wound closure time, hospital stay, and expenses), visual analogue scale score, lesion size, and thyroid function‐related indexes (thyroid‐stimulating hormone [TSH], free triiodothyronine*** [FT3], free thyroxine [FT4]), inflammatory factors, and thyroglobulin antibody (TgAb) were assessed and compared. After a 6‐month follow‐up period, the complications and recurrence were recorded, in addition to analyses of postoperative recurrence cumulative incidence and evaluation of recurrence risk factors. Results Operation‐related indexes of the observation group were relatively decreased compared with the control group. In addition, the lesion volume in the observation group was lower compared to that in the control group at the 6th month after operation, whereas the volume reduction rate was higher. There were no significant differences in regard to thyroid function‐related indexes in the observation group before/after operation. After operation, serum TSH levels and inflammatory factors, and TgAb levels were all diminished, while the FT3 and FT4 levels were both elevated in the observation group relative to the control group, and postoperative recurrence cumulative incidence was lower in the observation group. TSH and TgAb were established as the independent risk factors for recurrence after RFA in PTMC patients. Conclusions Our findings highlighted that US‐guided RFA exhibits better efficacy, safety, and postoperative recovery and lower recurrence risk for PTMC.
The aim of this study was to assess the value of high-resolution ultrasonic quantitative parameters of shear wave elastography (SWE) in basal cell carcinoma (BCC). A total of 86 cases of BCC were enrolled as the case group, and 38 other similar skin pigmented lesions were randomly selected as the control group. Using pathological results as the gold standard, the diagnostic test method was used to evaluate the ability of high-frequency ultrasonic elastography to diagnose BCC, and the 2D ultrasonographic features, blood flow image characteristics, and SWE of BCC were summarized.
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