Wang Zhuoran, Cao Xufeng, Jia Chunmei, Mi Na, Li Tingting, Wang Jingjie, Fan Ruiqi, Quan Jiayu
School of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
The Seventh Medical Center of the Chinese People's Liberation, Army General Hospital, Beijing, People's Republic of China.
J Multidiscip Healthc. 2024 Sep 2;17:4267-4276. doi: 10.2147/JMDH.S473370. eCollection 2024.
The aim of this study is to investigate the influence of ultrasound and molybdenum target X-ray characteristics in predicting non-mass breast cancer.
A retrospective analysis was conducted on the clinical data of 185 patients presenting with non-mass breast lesions between September 2019 and 2021. The non-mass lesions were categorized into benign and malignant types based on ultrasonographic findings, which included lamellar hypoechoic, ductal alteration, microcalcification, and structural disorder types. Furthermore, an examination was undertaken to discern variances in molybdenum target X-ray parameters, ultrasonographic manifestations, and characteristics among individuals diagnosed with non-mass breast lesions.
The ultrasonographic depiction of microcalcified lesions and the identification of suspicious malignancy through molybdenum target X-ray evaluation exhibited independent associations with non-mass breast cancer, yielding statistically significant differences ( < 0.05). Subsequently, the logistic regression model was formulated as follows: Logit (P) =-1.757+2.194* microcalcification type on ultrasound + 1.520* suspicious malignancy on molybdenum target X-ray evaluation. The respective areas under the receiver operating characteristic curves for microcalcification type on ultrasound, suspicious malignancy on molybdenum target X-ray, and the integrated diagnostic model were 0.733, 0.667, and 0.827, respectively, demonstrating discriminative capacities.
Using both ultrasound and molybdenum target X-ray diagnostics can increase the accuracy of non-mass breast cancer detection. The findings of this study have the potential to augment the detection rate of non-lumpy breast cancer and provide an imaging basis for enhancing the prognosis of individuals with breast cancer.
本研究旨在探讨超声和钼靶X线特征在预测非肿块型乳腺癌中的影响。
对2019年9月至2021年期间185例非肿块型乳腺病变患者的临床资料进行回顾性分析。根据超声表现将非肿块型病变分为良性和恶性类型,包括片状低回声、导管改变、微钙化和结构紊乱型。此外,还对诊断为非肿块型乳腺病变的个体的钼靶X线参数、超声表现和特征差异进行了检查。
微钙化病变的超声表现及钼靶X线评估中可疑恶性的识别与非肿块型乳腺癌呈独立相关,差异有统计学意义(<0.05)。随后,构建逻辑回归模型如下:Logit(P)=-1.757+2.194×超声微钙化类型+1.520×钼靶X线评估可疑恶性。超声微钙化类型、钼靶X线可疑恶性及综合诊断模型的受试者工作特征曲线下面积分别为0.733、0.667和0.827,均具有鉴别能力。
联合使用超声和钼靶X线诊断可提高非肿块型乳腺癌的检测准确性。本研究结果有可能提高非肿块型乳腺癌的检出率,并为改善乳腺癌患者的预后提供影像学依据。