Literature DB >> 25882690

Added value of semi-quantitative breast-specific gamma imaging in the work-up of suspicious breast lesions compared to mammography, ultrasound and 3-T MRI.

T Meissnitzer1, A Seymer2, P Keinrath3, J Holzmannhofer3, C Pirich3, K Hergan1, M W Meissnitzer1.   

Abstract

OBJECTIVE: To prospectively analyse the diagnostic value of semi-quantitative breast-specific gamma imaging (BSGI) in the work-up of suspicious breast lesions compared with that of mammography (MG), breast ultrasound and MRI of the breast.
METHODS: Within a 15-month period, 67 patients with 92 breast lesions rated as Category IV or V according to the breast imaging reporting and data system detected with MG and/or ultrasound were included into the study. After the injection of 740-1110 MBq of Technetium-99m ((99m)Tc) SestaMIBI intravenously, scintigrams were obtained in two projections comparable to MG. The BSGI was analysed visually and semi-quantitatively by calculating a relative uptake factor (X). With the exception of two patients with cardiac pacemakers, all patients underwent 3-T breast MRI. Biopsy results were obtained as the reference standard in all patients. Sensitivity, specificity, positive- and negative-predictive values, accuracy and area under the curve were calculated for each modality.
RESULTS: Among the 92 lesions, 67 (72.8%) were malignant. 60 of the 67 cancers of any size were detected by BSGI with an overall sensitivity of 90%, only exceeded by ultrasound with a sensitivity of 99%. The sensitivity of BSGI for lesions <1 cm declined significantly to 60%. Overall specificity of ultrasound was only 20%. Specificity, accuracy and positive-predictive value were the highest for BSGI (56%, 80% and 85%, respectively). X was significantly higher for malignant lesions (mean, 4.27) and differed significantly between ductal types (mean, 4.53) and the other histopathological entities (mean, 3.12).
CONCLUSION: Semi-quantitative BSGI with calculation of the relative uptake factor (X) can help to characterize breast lesions. BSGI negativity may obviate the need for biopsy of breast lesions >1 cm with low or intermediate prevalence for malignancy. ADVANCES IN KNOWLEDGE: Compared with morphological imaging modalities, specificity, positive-predictive value for malignancy and accuracy were the highest for BSGI in our study. BSGI negativity may support the decision not to biopsy in selected lesions with a low or low-to-moderate pre-test probability for malignancy.

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Year:  2015        PMID: 25882690      PMCID: PMC4628538          DOI: 10.1259/bjr.20150147

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  25 in total

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2.  Usefulness of breast-specific gamma imaging as an adjunct modality in breast cancer patients with dense breast: a comparative study with MRI.

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3.  Breast-specific gamma imaging as an adjunct modality for the diagnosis of invasive breast cancer with correlation to tumour size and grade.

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Journal:  Br J Radiol       Date:  2011-06-28       Impact factor: 3.039

4.  Value of PET-FDG in primary breast cancer based on histopathological and immunohistochemical prognostic factors.

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7.  Breast-specific gamma imaging as an adjunct imaging modality for the diagnosis of breast cancer.

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8.  Real-world application of breast-specific gamma imaging, initial experience at a community breast center and its potential impact on clinical care.

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9.  Breast-specific gamma-imaging: molecular imaging of the breast using 99mTc-sestamibi and a small-field-of-view gamma-camera.

Authors:  Elizabeth A Jones; Trinh D Phan; Deborah A Blanchard; Abbe Miley
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  4 in total

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

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Journal:  Radiol Imaging Cancer       Date:  2020-03-20

3.  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
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Review 4.  Breast-Specific Gamma Imaging: An Added Value in the Diagnosis of Breast Cancer, a Systematic Review.

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  4 in total

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