Literature DB >> 14731457

Role of positron emission tomography in the management of breast cancer.

I C Smith1, F J Gilbert.   

Abstract

Positron emission tomography (PET) is an imaging modality that utilises tracers based on biologically important compounds and can be used to study in vivo tissue function. This article reviews the current status of PET imaging in breast disease. The positron emitting glucose analogue 18F-FDG is used to image tissue glycolysis and has been extensively evaluated. Studies have shown that 18F-FDG PET has a high sensitivity and specificity for the detection of primary breast cancers, however its use is not superior that of conventional imaging modalities. Considerable interest is now focussing on the application of PET to non-invasively determine the lymph node status of patients with breast cancer and to predict and evaluate tumour response to chemotherapy. Relatively low cost gamma camera systems are now available that are capable of PET imaging, and thus it may therefore be possible to perform PET imaging in the majority of hospitals.

Entities:  

Year:  1999        PMID: 14731457     DOI: 10.1054/brst.1999.0086

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  3 in total

1.  Initial clinical test of a breast-PET scanner.

Authors:  Raymond R Raylman; Jame Abraham; Hannah Hazard; Courtney Koren; Shannon Filburn; Judith S Schreiman; Sobha Kurian; Stan Majewski; Gary D Marano
Journal:  J Med Imaging Radiat Oncol       Date:  2011-02       Impact factor: 1.735

Review 2.  The choice of the correct imaging modality in breast cancer management.

Authors:  Emilio Bombardieri; Luca Gianni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-05-04       Impact factor: 9.236

3.  Comparison of Diagnostic Performance of Three-Dimensional Positron Emission Mammography versus Whole Body Positron Emission Tomography in Breast Cancer.

Authors:  Dong Dai; Xiuyu Song; Man Wang; Lin Li; Wenchao Ma; Wengui Xu; Yunchuan Ma; Juntian Liu; Jin Zhang; Peifang Liu; Xiaoyue Gu; Yusheng Su
Journal:  Contrast Media Mol Imaging       Date:  2017-07-03       Impact factor: 3.161

  3 in total

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