Correlations between tumor to background ratio on breast- specific gamma imaging and prognostic factors in breast cancer

Soo Jin Lee, Yun Young Choi, Chanwoo Kim, Min Sung Chung

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The purpose of this study was to investigate the correlations between tumor-tobackground ratio (TBR) obtained from breast-specific gamma imaging (BSGI) and the prognostic factors of breast cancer. Sixty-seven patients with invasive ductal carcinoma who underwent preoperative BSGI were enrolled. The BSGI images were visually scored from 1 to 5 according to a breast imaging reporting and data system (BIRADS). The TBR results obtained from positive BSGI images were compared according to the following prognostic factors: tumor size; axillary lymph node metastasis; nuclear grade (NG); histologic grade (HG); subtype; Ki-67; and the expression profile of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Among 67 images, 60 were classified as a positive finding (sensitivity 89.6%). A higher TBR value was significantly correlated with tumor size ≥ 2 cm (P = 0.001), axillary lymph node metastasis (P = 0.007), high HG (P = 0.029), negative PR status (P = 0.036), and Ki- 67 ≥ 14% (P = 0.007). The TBR showed a significant difference between the luminal A and non-luminal A subtypes (P = 0.007). On multivariate analysis, TBR had a high correlation with tumor size ≥ 2 cm, axillary lymph node metastasis, and negative PR status (P = 0.003, 0.048, and 0.030, respectively). A high TBR on BSGI was significantly correlated with poor prognostic factors of breast cancer. Luminal A subtype, a breast cancer subtype with more favorable prognosis, was associated with a low TBR on BSGI.

Original languageEnglish
Pages (from-to)1031-1037
Number of pages7
JournalJournal of Korean Medical Science
Volume32
Issue number6
DOIs
StatePublished - 2017 Jan 1

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Breast
Breast Neoplasms
Progesterone Receptors
Neoplasms
Lymph Nodes
Neoplasm Metastasis
Ductal Carcinoma
Information Systems
Estrogen Receptors
Multivariate Analysis

Keywords

  • Breast cancer
  • Gamma camera imaging
  • Tc-sestaMIBI

Cite this

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title = "Correlations between tumor to background ratio on breast- specific gamma imaging and prognostic factors in breast cancer",
abstract = "The purpose of this study was to investigate the correlations between tumor-tobackground ratio (TBR) obtained from breast-specific gamma imaging (BSGI) and the prognostic factors of breast cancer. Sixty-seven patients with invasive ductal carcinoma who underwent preoperative BSGI were enrolled. The BSGI images were visually scored from 1 to 5 according to a breast imaging reporting and data system (BIRADS). The TBR results obtained from positive BSGI images were compared according to the following prognostic factors: tumor size; axillary lymph node metastasis; nuclear grade (NG); histologic grade (HG); subtype; Ki-67; and the expression profile of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Among 67 images, 60 were classified as a positive finding (sensitivity 89.6{\%}). A higher TBR value was significantly correlated with tumor size ≥ 2 cm (P = 0.001), axillary lymph node metastasis (P = 0.007), high HG (P = 0.029), negative PR status (P = 0.036), and Ki- 67 ≥ 14{\%} (P = 0.007). The TBR showed a significant difference between the luminal A and non-luminal A subtypes (P = 0.007). On multivariate analysis, TBR had a high correlation with tumor size ≥ 2 cm, axillary lymph node metastasis, and negative PR status (P = 0.003, 0.048, and 0.030, respectively). A high TBR on BSGI was significantly correlated with poor prognostic factors of breast cancer. Luminal A subtype, a breast cancer subtype with more favorable prognosis, was associated with a low TBR on BSGI.",
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Correlations between tumor to background ratio on breast- specific gamma imaging and prognostic factors in breast cancer. / Lee, Soo Jin; Choi, Yun Young; Kim, Chanwoo; Chung, Min Sung.

In: Journal of Korean Medical Science, Vol. 32, No. 6, 01.01.2017, p. 1031-1037.

Research output: Contribution to journalArticle

TY - JOUR

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AU - Lee, Soo Jin

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