Nomogram for preoperative differentiation of benign and malignant breast tumors using contrast-enhanced cone-beam breast CT (CE CB-BCT) quantitative imaging and assessment features

作者全名："Su, Tong; Zheng, Yineng; Yang, Hongyu; Ouyang, Zubin; Fan, Jun; Lin, Lin; Lv, Fajin"

作者地址："[Su, Tong; Zheng, Yineng; Ouyang, Zubin; Fan, Jun; Lin, Lin; Lv, Fajin] Chongqing Med Univ, Dept Dermatol, Affiliated Hosp 1, 1 Youyi Rd, Chongqing 400016, Peoples R China; [Yang, Hongyu] Chongqing Changshou Dist Peoples Hosp, Dept Urol, Chongqing, Peoples R China"

通信作者："Lv, FJ (通讯作者)，Chongqing Med Univ, Dept Dermatol, Affiliated Hosp 1, 1 Youyi Rd, Chongqing 400016, Peoples R China."

来源：RADIOLOGIA MEDICA

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001190244400022

JCR分区：Q1

影响因子：9.7

年份：2024

卷号：　

期号：　

开始页：　

结束页：　

文献类型：Article; Early Access

关键词：Cone-beam computed tomography; Breast neoplasms; Logistic models; Nomograms; Diagnosis

摘要："PurposeBreast cancer's impact necessitates refined diagnostic approaches. This study develops a nomogram using radiology quantitative features from contrast-enhanced cone-beam breast CT for accurate preoperative classification of benign and malignant breast tumors.Material and methodsA retrospective study enrolled 234 females with breast tumors, split into training and test sets. Contrast-enhanced cone-beam breast CT-images were acquired using Koning Breast CT-1000. Quantitative assessment features were extracted via 3D-slicer software, identifying independent predictors. The nomogram was constructed to preoperative differentiation benign and malignant breast tumors. Calibration curve was used to assess whether the model showed favorable correspondence with pathological confirmation. Decision curve analysis confirmed the model's superiority.ResultsThe study enrolled 234 female patients with a mean age of 50.2 years (SD +/- 9.2). The training set had 164 patients (89 benign, 75 malignant), and the test set had 70 patients (29 benign, 41 malignant). The nomogram achieved excellent predictive performance in distinguishing benign and malignant breast lesions with an AUC of 0.940 (95% CI 0.900-0.940) in the training set and 0.970 (95% CI 0.940-0.970) in the test set.ConclusionThis study illustrates the effectiveness of quantitative radiology features derived from contrast-enhanced cone-beam breast CT in distinguishing between benign and malignant breast tumors. Incorporating these features into a nomogram-based diagnostic model allows for breast tumor diagnoses that are objective and possess good accuracy. The application of these insights could substantially increase reliability and efficacy in the management of breast tumors, offering enhanced diagnostic capability."

基金机构：National Key R&D Program of China; [2020YFA0714002]

基金资助正文："The authors thank the patients for their willingness to cooperate with our study. The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article. This work was supported by the National Key R&D Program of China (2020YFA0714002). The funders had no role in study design, data analysis, decision to publish, or preparation of the manuscript."