Literature DB >> 20140703

The use of FDG-PET in assessing axillary lymph node status in breast cancer: a systematic review and meta-analysis of the literature.

Rebecca Peare1, R T Staff, S D Heys.   

Abstract

Axillary lymph node status is the most powerful prognostic indicator in patients with breast cancer. FDG-PET has been suggested as a non-invasive method of staging the axilla. The aim of this study was to review and aggregate all studies that measured the performance of FDG-PET in patients with breast cancer, using surgically obtained axillary histology as a reference, in a meta-analysis. A systematic review of the literature was performed and data extracted from all eligible studies. These were then analysed using meta-analysis software and summary receiver operating characteristic (SROC) curves were plotted for the aggregate data. The data was then tested to determine which parameters impacted on the sensitivity and specificity of the studies. Sensitivities ranging from 20 to 100% and specificities ranging from 65 to 100% have been reported. An aggregated ROC analysis found an area under the curve of 0.95 (95% CI 0.91-0.97) and a Q* value of 0.89 (95% CI 0.85-0.92) in a total of 25 studies involving 2,460 patients. The AUC and Q* values indicated little difference between the compared study characteristics. The performance of the technique currently remains below, which is required to replace assessment of axillary node status by surgical biopsy and histological assessment. However, sensitivity and specificity are high and FDG-PET may have a role to play under particular circumstances. Moreover, the additional benefit of an assessment of distal metastatic spread provided by FDG-PET requires further investigation.

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Year:  2010        PMID: 20140703     DOI: 10.1007/s10549-010-0771-9

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  27 in total

1.  Diagnostic and prognostic correlates of preoperative FDG PET for breast cancer.

Authors:  Vincent Vinh-Hung; Hendrik Everaert; Jan Lamote; Mia Voordeckers; Hilde van Parijs; Marian Vanhoeij; Guy Verfaillie; Christel Fontaine; Hansjoerg Vees; Osman Ratib; Georges Vlastos; Mark De Ridder
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-07-10       Impact factor: 9.236

Review 2.  Is imaging the future of axillary staging in breast cancer?

Authors:  M Ahmed; S I Usiskin; M A Hall-Craggs; Michael Douek
Journal:  Eur Radiol       Date:  2013-09-14       Impact factor: 5.315

Review 3.  Defining the role of modern imaging techniques in assessing lymph nodes for metastasis in cancer: evolving contribution of PET in this setting.

Authors:  Thomas C Kwee; Sandip Basu; Drew A Torigian; Babak Saboury; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-01-12       Impact factor: 9.236

Review 4.  Metabolic positron emission tomography imaging in cancer detection and therapy response.

Authors:  Aizhi Zhu; Daniel Lee; Hyunsuk Shim
Journal:  Semin Oncol       Date:  2011-02       Impact factor: 4.929

Review 5.  Positron Emission Tomography (PET) in Oncology.

Authors:  Andrea Gallamini; Colette Zwarthoed; Anna Borra
Journal:  Cancers (Basel)       Date:  2014-09-29       Impact factor: 6.639

6.  Utility of Ultrasound and Mammography in Detection of Negative Axillary Nodal Metastasis in Breast Cancer.

Authors:  Anam Khan; Imrana Masroor; Kumail Khandwala; Summar-Un-Nisa Abbasi; Muhammad Usman Tariq
Journal:  Cureus       Date:  2020-01-17

Review 7.  The Evolving Role of FDG-PET/CT in the Diagnosis, Staging, and Treatment of Breast Cancer.

Authors:  Koosha Paydary; Siavash Mehdizadeh Seraj; Mahdi Zirakchian Zadeh; Sahra Emamzadehfard; Sara Pourhassan Shamchi; Saeid Gholami; Thomas J Werner; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2019-02       Impact factor: 3.488

8.  Semi-quantitative lymph node assessment of (18)F-FDG PET/CT in locally advanced breast cancer: correlation with biological prognostic factors.

Authors:  Ana María García Vicente; Angel Soriano Castrejón; Miguel Angel Cruz Mora; Ana González Ageitos; María del Mar Muñoz Sánchez; Alberto León Martín; Ruth Espinosa Aunión; Fernanda Relea Calatayud; Vicente Muñoz Madero; Ignacio Chacón López-Muñiz; Jose Manuel Cordero García; Germán Andrés Jiménez Londoño
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-09-28       Impact factor: 9.236

9.  Correlation between 18F-FDG Positron-Emission Tomography 18F-FDG Uptake Levels at Diagnosis and Histopathologic and Immunohistochemical Factors in Patients with Breast Cancer.

Authors:  Gamze Uğurluer; Sinan Yavuz; Züleyha Çalıkuşu; Ertuğrul Seyrek; Mustafa Kibar; Meltem Serin; Canan Ersöz; Orhan Demircan
Journal:  J Breast Health       Date:  2016-07-01

10.  Assessment of Ultrasound Features Predicting Axillary Nodal Metastasis in Breast Cancer: The Impact of Cortical Thickness.

Authors:  A Stachs; A Tra-Ha Thi; M Dieterich; J Stubert; S Hartmann; Ä Glass; T Reimer; B Gerber
Journal:  Ultrasound Int Open       Date:  2015-07
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