Publications by authors named "Zuo-Bing Zhang"
We aimed to develop and validate a nomogram based on conventional ultrasound (CUS) radiomics model to differentiate radial scar (RS) from invasive ductal carcinoma (IDC) of the breast. In total, 208 patients with histopathologically diagnosed RS or IDC of the breast were enrolled. They were randomly divided in a 7:3 ratio into a training cohort (n = 145) and a validation cohort (n = 63).
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- The study focuses on creating a model to predict the tumor stroma ratio (TSR) of pleomorphic adenoma (PA) in salivary glands using ultrasound images and histogram analysis.
- It involved 219 PA patients divided into low-TSR and high-TSR groups, with a training cohort of 151 and a validation cohort of 68.
- Key independent predictors included lesion size, shape, cystic areas, vascularity, and histogram features, resulting in a nomogram model with strong predictive performance, aiming to improve preoperative decision-making for treatment.
Objectives: Accurate distinguishing between immunoglobulin G4-related sialadenitis (IgG4-RS) and primary Sjögren syndrome (pSS) is crucial due to their different treatment approaches. This study aimed to construct and validate a nomogram based on the ultrasound (US) scoring system for the differentiation of IgG4-RS and pSS.
Methods: A total of 193 patients with a clinical diagnosis of IgG4-RS or pSS treated at our institution were enrolled in the training cohort (n = 135; IgG4-RS = 28, pSS = 107) and the validation cohort (n = 58; IgG4-RS = 15, pSS = 43).
Purpose: To explore the value of ultrasound (US) characteristics in diagnosing breast fibromatosis (BF) and evaluate their differences from breast carcinoma.
Methods: A total of 121 patients with BF (n = 24, 29 lesions) or invasive ductal carcinoma (IDC) (n = 97, 102 lesions) of the breast were included. Their clinical and US findings were recorded and analyzed.