Consistency Analysis of CTLM Imaging and Mammography in the Diagnosis of Breast Tumor Lesions

Author:

Song Zhangjun1ORCID,Wang Huxia2,Feng Xiaorui3,Yang Xiaomin2,Han Pihua2,Zhao Jing2

Affiliation:

1. Department of Oncology, Shaanxi Provincial People′s Hospital, Xi′an 710068, China

2. Department of Breast, Shaanxi Provincial Cancer Hospital, Xi′an 710061, China

3. Department of Radiation Oncology, Xi′an High-tech Hospital, Xi′an 710000, China

Abstract

Objective. To analyze the consistency of preoperative CTLM imaging in the diagnosis of breast cancer lesions and postoperative pathological examination. Methods. The clinical data of 225 patients with breast tumor in our breast surgery department were collected. All patients underwent mammography, CTLM, and pathological examination. To analyze the image characteristics of breast CTLM imaging, calculate the diagnostic efficacy of CTLM imaging for breast tumors, and compare the image characteristics of CTLM imaging for benign and malignant tumors. Results. (1) Postoperative pathological examination showed that 136 cases (60.44%) of lesions were benign tumors, and 89 cases (39.56%) were malignant tumors. (2) The “spokes distribution” of normal breast CTLM images was interrupted. In the 3D reconstructed images, the morphology of the abnormal angiogenesis area is mostly irregular nonbanded structure, which is manifested as slab structure, spindle structure, spherical structure, diverticulum structure, inverted conical structure, rings structure, branched structure, and dumbbell structure. (3) The detection rate of breast tumor by CTLM imaging was 84.44%. The specificity and coincidence rate of CTLM imaging were higher than that of mammography (P < 0.05). (4) The features of CTLM imaging images of breast malignant tumors are mostly bright white locally, with irregular edges and obvious attenuation of laser signal, and the reconstructed shape of 3D images is mostly like a slab structure. Conclusion. CTLM imaging can provide related information of neovascularization in breast cancer lesions, which is basically consistent with pathologically confirmed lesions.

Funder

Xi’an “Science and Technology

Publisher

Hindawi Limited

Subject

Health Informatics,Biomedical Engineering,Surgery,Biotechnology

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