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利用超声和钼靶X射线特征预测非乳腺癌症
Authors Wang Z, Cao X, Jia C, Mi N, Li T, Wang J, Fan R, Quan J
Received 24 June 2024
Accepted for publication 20 August 2024
Published 2 September 2024 Volume 2024:17 Pages 4267—4276
DOI https://doi.org/10.2147/JMDH.S473370
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Scott Fraser
Zhuoran Wang,1 Xufeng Cao,2 Chunmei Jia,1 Na Mi,1 Tingting Li,1 Jingjie Wang,1 Ruiqi Fan,1 Jiayu Quan1
1School of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People’s Republic of China; 2The Seventh Medical Center of the Chinese People’s Liberation, Army General Hospital, Beijing, People’s Republic of China
Correspondence: Chunmei Jia, School of Medical Imaging, First Hospital of Shanxi Medical University, No. 85, South Jiefang Road, Taiyuan, 100007, Shanxi, People’s Republic of China, Tel +86 13643667836, Email jcmc6606@126.com
Objective: The aim of this study is to investigate the influence of ultrasound and molybdenum target X-ray characteristics in predicting non-mass breast cancer.
Methods: 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.
Results: 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 (p < 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.
Conclusion: 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.
Keywords: correlation, logistic regression, Molybdenum targeted X-ray, non-mass type, ultrasonographic manifestations