Literature DB >> 28139203

MRI and FDG-PET/CT based assessment of axillary lymph node metastasis in early breast cancer: a meta-analysis.

X Liang1, J Yu1, B Wen1, J Xie1, Q Cai1, Q Yang2.   

Abstract

AIM: To evaluate the accuracy of magnetic resonance imaging (MRI) and combined 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography/computed tomography (PET/CT) for N staging of breast cancer.
MATERIALS AND METHODS: A search for relevant diagnostic studies published between January 2008 and October 2015 was conducted in the MEDLINE and EMBASE databases. The quality of the studies was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS) criteria. Sensitivity and specificity were analysed using the random-effect model and fixed effect model for MRI and PET/CT, respectively.
RESULTS: A total of 21 eligible studies were evaluated for the efficacy of MRI or PET/CT for diagnosing axillary lymph node status in breast cancer patients. The pooled specificities of MRI and PET/CT were similar at 0.93 (95% confidence interval [CI]: 0.92-0.94) and 0.93 (95% CI: 0.90-0.95), respectively; however, the pooled sensitivity of MRI was (0.82; 95% CI: 0.78-0.85) significantly greater than PET/CT (0.64; 95% CI: 0.59-0.69)]. Further analysis revealed that MRI had a significantly higher diagnostic odds ratio (DOR) value of 51.28 (95% CI: 22.44-117.17) compared to PET/CT at 18.84 (95% CI: 11.71-31.76).
CONCLUSION: The present meta-analysis suggests that MRI not only has the higher sensitivity for lymph node metastasis diagnosis compared to PET/CT, but also has high potential for being used as a non-invasive imaging diagnostic technique. Furthermore, the ultra-small super paramagnetic iron oxide (USPIO)-enhanced MRI showed high diagnostic accuracy for identifying axillary lymph node metastases in early-stage breast cancer patients.
Copyright © 2016 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28139203     DOI: 10.1016/j.crad.2016.12.001

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  15 in total

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Authors:  Deepa Narayanan; Wendie A Berg
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2.  Predicting axillary lymph node metastasis in breast cancer using the similarity of quantitative dual-energy CT parameters between the primary lesion and axillary lymph node.

Authors:  Kanako Terada; Hiroko Kawashima; Norihide Yoneda; Fumihito Toshima; Miki Hirata; Satoshi Kobayashi; Toshifumi Gabata
Journal:  Jpn J Radiol       Date:  2022-07-25       Impact factor: 2.701

Review 3.  Can Complete Axillary Node Dissection Be Safely Omitted in Patients with Early Breast Cancer When the Sentinel Node Biopsy Is Positive for Malignancy? An Update for Clinical Practice.

Authors:  Ritika Gera; Abdul Kasem; Kefah Mokbel
Journal:  In Vivo       Date:  2018 Nov-Dec       Impact factor: 2.155

4.  Establishing a prediction model of axillary nodal burden based on the combination of CT and ultrasound findings and the clinicopathological features in patients with early-stage breast cancer.

Authors:  Xianfu Sun; Qiang Zhang; Lianjie Niu; Tao Huang; Yingjie Wang; Shengze Zhang
Journal:  Gland Surg       Date:  2021-02

5.  Diagnostic Value of Axillary Ultrasound, MRI, and 18F-FDG-PET/ CT in Determining Axillary Lymph Node Status in Breast Cancer Patients.

Authors:  Ayşegül Aktaş; Meryem Günay Gürleyik; Sibel Aydın Aksu; Fugen Aker; Serkan Güngör
Journal:  Eur J Breast Health       Date:  2021-12-30

Review 6.  Application of PET Tracers in Molecular Imaging for Breast Cancer.

Authors:  Jorianne Boers; Erik F J de Vries; Andor W J M Glaudemans; Geke A P Hospers; Carolina P Schröder
Journal:  Curr Oncol Rep       Date:  2020-07-06       Impact factor: 5.075

7.  PET imaging of chemokine receptor CXCR4 in patients with primary and recurrent breast carcinoma.

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Journal:  EJNMMI Res       Date:  2018-09-06       Impact factor: 3.138

8.  Diagnostic value of MRI combined with ultrasound for lymph node metastasis in breast cancer: Protocol for a meta-analysis.

Authors:  Dechun Cai; Tong Lin; Kailin Jiang; Zhizhong Sun
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

9.  Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer.

Authors:  Zongyao Li; Kazuhiro Kitajima; Kenji Hirata; Ren Togo; Junki Takenaka; Yasuo Miyoshi; Kohsuke Kudo; Takahiro Ogawa; Miki Haseyama
Journal:  EJNMMI Res       Date:  2021-01-25       Impact factor: 3.138

10.  Diagnostic performance of PET/computed tomography versus PET/MRI and diffusion-weighted imaging in the N- and M-staging of breast cancer patients.

Authors:  Cornelis Maarten de Mooij; Inés Sunen; Cristina Mitea; Ulrich C Lalji; Sigrid Vanwetswinkel; Marjolein L Smidt; Thiemo J A van Nijnatten
Journal:  Nucl Med Commun       Date:  2020-10       Impact factor: 1.698

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