Literature DB >> 31950786

[The Characteristics of Ultrasonography and Thermal Tomography in Various Molecular Subtypes of Breast Cancer].

Yu-Shuang He1, Yu-Lan Peng1, Huan Yang1, Hai-Na Zhao1.   

Abstract

OBJECTIVE: To explore the relationship between the imaging features of ultrasonography and thermal tomography and molecular subtypes of breast cancer.
METHODS: 404 female breast cancer patients with complete imaging data and pathological findings from January 2014 to June 2017 were reviewed in the West China Hospital of Sichuan University. Breast cancer pathological molecules were classified into Luminal A like type, Luminal B like type, human epidermal growth receptor-2 (HER-2) overexpression type and Basal like type according to the expression of various immune markers. The correlation of ultrasonographic BI-RADS signs, thermal tomography characteristics and immunohistochemical results of breast cancer was analyzed.
RESULTS: Breast cancer lesions with regular morphology, sharp margins, and enhanced posterior echo were more common in Basal like type; Microcalcification was more likely tend to appear in HER-2 expression breast cancer than other subtypes; The q-r curve of Luminal A like breast cancer was nearly 30°, and that was more common between 30°and 45° of HER-2 expression and Basal like breast cancer;The ratio of vertical and horizontal ≥1 of tumors and limited lymph node metastasis could not be used for distinguishing between different subtypes.
CONCLUSION: Different molecular subtypes of breast cancer may behave routine ultrasound and thermal tomography imaging features. Copyright© by Editorial Board of Journal of Sichuan University (Medical Science Edition).

Entities:  

Keywords:  Breast cancer; Immunohistochemistry; Molecular subtypes; Thermal tomography; Ultrasound

Mesh:

Year:  2020        PMID: 31950786     DOI: 10.12182/20200160502

Source DB:  PubMed          Journal:  Sichuan Da Xue Xue Bao Yi Xue Ban        ISSN: 1672-173X


  1 in total

1.  Pregnancy-associated plasma protein-A (PAPPA) promotes breast cancer progression.

Authors:  Jun Zhang; Yuan Zhang; Lanjiang Li; Yinghua Nian; Ying Chen; Ruoxia Shen; Xiaoyan Ma
Journal:  Bioengineered       Date:  2022-01       Impact factor: 3.269

  1 in total

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