Literature DB >> 25939640

Prognostic value of semi-quantitative tumor uptake on Tc-99m sestamibi breast-specific gamma imaging in invasive ductal breast cancer.

Hai-Jeon Yoon1, Yemi Kim, Kyu-Tae Chang, Bom Sahn Kim.   

Abstract

OBJECTIVES: This study investigated the prognostic value of preoperative breast-specific gamma imaging (BSGI) uptake measured by a semi-quantitative method in invasive ductal carcinoma (IDC).
METHODS: One hundred and sixty-two women with IDC who underwent preoperative BSGI were retrospectively enrolled. The tumor-to-normal tissue ratio (TNR) was measured on BSGI and correlated with histologic prognostic factors. The prognostic impact of TNR was tested with regard to progression-free survival (PFS) and compared with established prognostic factors.
RESULTS: High TNR was significantly correlated with tumor size >2 cm (p < 0.001), high nuclear grade (p = 0.04), high histologic grade (p = 0.01), axillary node positivity (p = 0.04), ER negativity (p = 0.03), HER2 positivity (p = 0.01), and high MIB-1 index (p = 0.001). Among 162 patients, 14 experienced recurrence during mean follow-up time of 34.7 ± 14.9 months. In Kaplan-Meier survival analyses, high TNR (p < 0.001), high nuclear grade (p = 0.02), high histologic grade (p = 0.007), ER/PR negativity (p = 0.003 and p < 0.001, respectively), HER2 positivity (p = 0.01), triple negativity (p = 0.02), and high MIB-1 index (p = 0.02) showed a significant relationship with poor prognosis. Among them, high TNR was an independent poor prognostic factor in a multivariate regression analysis (p = 0.01).
CONCLUSIONS: High BSGI uptake measured by a semi-quantitative method was correlated with diverse poor histologic prognostic factors and was an independent poor prognostic factor in invasive ductal cancer.

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Year:  2015        PMID: 25939640     DOI: 10.1007/s12149-015-0977-3

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  4 in total

1.  Usefulness of feature analysis of breast-specific gamma imaging for predicting malignancy.

Authors:  Eun Kyoung Choi; Jooyeon Jamie Im; Chang Suk Park; Yong-An Chung; Kijun Kim; Jin Kyoung Oh
Journal:  Eur Radiol       Date:  2018-06-12       Impact factor: 5.315

2.  Retrospective and comparative analysis of (99m)Tc-Sestamibi breast specific gamma imaging versus mammography, ultrasound, and magnetic resonance imaging for the detection of breast cancer in Chinese women.

Authors:  Xiuyan Yu; Guoming Hu; Zhigang Zhang; Fuming Qiu; Xuan Shao; Xiaochen Wang; Hongwei Zhan; Yiding Chen; Yongchuan Deng; Jian Huang
Journal:  BMC Cancer       Date:  2016-07-11       Impact factor: 4.430

3.  Correlations between Tumor to Background Ratio on Breast-Specific Gamma Imaging and Prognostic Factors in Breast Cancer.

Authors:  Soo Jin Lee; Yun Young Choi; Chanwoo Kim; Min Sung Chung
Journal:  J Korean Med Sci       Date:  2017-06       Impact factor: 2.153

4.  99mTc-Radiolabeled TPGS Nanomicelles Outperform 99mTc-Sestamibi as Breast Cancer Imaging Agent.

Authors:  Fiorella C Tesan; Melisa B Nicoud; Mariel Nuñez; Vanina A Medina; Diego A Chiappetta; María J Salgueiro
Journal:  Contrast Media Mol Imaging       Date:  2019-04-23       Impact factor: 3.161

  4 in total

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