A comparative study on the features of breast sclerosing adenosis and invasive ductal carcinoma via ultrasound and establishment of a predictive nomogram

• DOI: 10.3389/fonc.2023.1276524
• Publication Date: 2023-10-23T21:07:06Z
• Authors: Yuan Li; Xiu-liang Wei; Kun-kun Pang; Ping-juan Ni; Mei Wu; Juan Xiao; Lu-lu Zhang; Fei-xue Zhang
• Keywords: Nomogram

To analyze the clinical and ultrasonic characteristics of breast sclerosing adenosis (SA) invasive ductal carcinoma (IDC), construct a predictive nomogram for SA.A total 865 patients were recruited at Second Hospital Shandong University from January 2016 to November 2022. All underwent routine ultrasound examinations before surgery, diagnosis was confirmed by histopathological examination following operation. Ultrasonic features recorded using Breast Imaging Data Reporting System (BI-RADS). Of patients, 203 (252 nodules) diagnosed as SA 662 (731 IDC. They randomly divided into training set validation ratio 6:4. Lastly, difference in comparatively analyzed.There statistically significant multiple between IDC (P<0.05). As age lesion size increased, probability significantly decreased, with cut-off value 36 years old 10 mm, respectively. In logistic regression analysis set, age, nodule size, menopausal status, symptoms, palpability lesions, margins, internal echo, color Doppler flow imaging (CDFI) grading, resistance index (RI) These indicators included static dynamic model, which showed high performance, calibration both sets.SA should be suspected asymptomatic young women, especially those younger than who present small-size lesions (especially less mm) distinct homogeneous lack blood supply. The model can provide more convenient tool clinicians.