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

HE Yu-shuang, PENG Yu-lan, YANG Huan, ZHAO Hai-na

Abstract

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.

 

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

 

Full Text:

PDF


References


SIEGEL R L， MILLER J D， JEMAL A. Cancer statistics 2016. CA Cancer J Clin，2016，66(1): 7–30.

SHI G， HAN F， WANG L， et al. Q-r curve of thermal tomography and its clinical application on breast tumor diagnosis. Biomed Opt Express，2015，6(4): 1109–1123.

MERCADO C L. BI-RADS update. Radiol Clin North Am，2014，52(3): 481–487.

ADLER D D， CARSON P L， RUBIN J M， et al. Doppier ultrasound color flow imaging in the study of breast cancer: preliminary findings. Ultrasound Med Biol，1990，16(6): 553–559.

SHI G， WANG L，HANG F， et al. Diagnosis of breast tumor using thermal tomography q-r curve. J Biomed Opt， 2015， 20(6): 068001[2019-10-30]. https://doi.org/10.1117/1.JBO.20.6.068001.

SCHNITT S J. Will molecular classification replace traditional breast pathology. Int J Surg Pathol，2010，18(Suppl 3): 162–166.

BAUMANN M， HÖLSCHER T， BEGG A C. Towards genetic prediction of radiation responses: STRO's GENEPI project. Radiother Oncol，2003， 69(2): 121–125.

GILLIES R J， KINAHAN P E， HRICAK H. Radiomics: images are more than pictures, they are data. Radiology，2016，278(2): 563–577.

GOLDHIRSCH A， WINER E P， COATES A S， et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol，2013，24(9): 2206–2223.

GARCÍA FERNÁNDEZ A， CHABRERA C， GARCÍA FONT M， et al. Differential patterns of recurrence and specific survival between luminal A and luminal B breast cancer according to recent changes in the 2013 St Gallen immunohistochemical classification. Clin Transl Oncol，2015， 17(3): 238–246.

DAWOOD S， HU R， HOMES M D， et al. Defining breast cancer prognosis based on molecular phenotypes:results from a large cohort study. Breast Cancer Res Treat，2011，126(1): 185–192.

CARTER C L， ALLEN C， HENSON D E. Relation of tumor size, lymph node status, and survival in 24 740 breast cancer cases. Cancer，1989， 63(1): 181–187.

BOISSERIE-LACROIX M， MACGROGAN G， DEBLED M， et al. Triple-negative breast cancer: associations between imaging and pathological findings for triple-negative tumors compared with hormone receptor-positive/human epidermal growth factor receptor-2-negative breast cancers. Oncologist，2013，18(7): 802–811.

DOGAN B E， GONZALEZ-ANGULO A M， GILCREASE M， et al. Multimodality imaging of triple receptor negative tumors with mammography, ultrasound and MRI. Am J Roentgenol，2010，194(4): 1160–1166.

EVANS A J， PINDER S E， ELLIS I O， et al. Correlations between the mammographic features of ductal carcinoma in situ (DCIS) and C-erbB-2 oncogene expression. Nottingham Breast Team. Clin Radiol，1994，49(8): 559–562.

COSTANTINI M， BELLI P， LOMBARDI R， et al. Characterization of solid breast masses: use of sonographic breast imaging reporting and data system lexicon. J Ultrasound Med，2006，15(5): 649–659.

HUANG H J， NEVEN P， DRIJKONINGEN M， et al. Association between tumour characteristics and HER-2/neu by immunohistochemistry in 1 362 women with primary operable breast cancer. J Clin Pathol，2005， 58(6): 611–616.

VAN CALSTER B， VANDEN BEMPT I， DRIJKONINGEN M， et al. Axillary lymph node status of operable breast cancers by combined steroid receptor and HER-2 status:triple positive tumors are more likely lymph node positive. J Breast Cancer Res Treat，2009，113(1): 181–187.

WU Q， LI J， SUN S， et al. Thermal tomography for monitoring tumor response to neoadjuvant chemotherapy in women with locally advanced breast cancer. Oncotarget，2017，8(40): 68974–68983.

SHI G， WANG L， HAN F， et al. Diagnosis of breast tumor using thermal tomography q-r curve. J Biomed Opt，2015，20(6): 068001.


Refbacks

  • There are currently no refbacks.