Literature DB >> 26275624

Accuracy of combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging for breast cancer detection: a meta-analysis.

Li Zhang1, Min Tang1, Zhiqian Min1, Jun Lu2, Xiaoyan Lei1, Xiaoling Zhang3.   

Abstract

BACKGROUND: Magnetic resonance imaging (MRI) is increasingly being used to examine patients with suspected breast cancer.
PURPOSE: To determine the diagnostic performance of combined dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) for breast cancer detection.
MATERIAL AND METHODS: A comprehensive search of the PUBMED, EMBASE, Web of Science, and Cochrane Library databases was performed up to September 2014. Statistical analysis included pooling of sensitivity and specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and diagnostic accuracy using the summary receiver operating characteristic (SROC). All analyses were conducted using STATA (version 12.0), RevMan (version 5.2), and Meta-Disc 1.4 software programs.
RESULTS: Fourteen studies were analyzed, which included a total of 1140 patients with 1276 breast lesions. The pooled sensitivity and specificity of combined DCE-MRI and DWI were 91.6% and 85.5%, respectively. The pooled sensitivity and specificity of DWI-MRI were 86.0% and 75.6%, respectively. The pooled sensitivity and specificity of DCE-MRI were 93.2% and 71.1%. The area under the SROC curve (AUC-SROC) of combined DCE-MRI and DWI was 0.94, the DCE-MRI of 0.85. Deeks testing confirmed no significant publication bias in all studies.
CONCLUSION: Combined DCE-MRI and DWI had superior diagnostic accuracy than either DCE-MRI or DWI alone for the diagnosis of breast cancer. © The Foundation Acta Radiologica 2015.

Entities:  

Keywords:  Diffusion-weighted imaging; breast neoplasms; diagnosis; magnetic resonance imaging (MRI); meta-analysis

Mesh:

Substances:

Year:  2015        PMID: 26275624     DOI: 10.1177/0284185115597265

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  46 in total

1.  Dynamic field-of-view imaging to increase temporal resolution in the early phase of contrast media uptake in breast DCE-MRI: A feasibility study.

Authors:  Federico D Pineda; Ty O Easley; Gregory S Karczmar
Journal:  Med Phys       Date:  2018-01-24       Impact factor: 4.071

2.  Visibility of mammographically occult breast cancer on diffusion-weighted MRI versus ultrasound.

Authors:  Nita Amornsiripanitch; Habib Rahbar; Averi E Kitsch; Diana L Lam; Brett Weitzel; Savannah C Partridge
Journal:  Clin Imaging       Date:  2017-10-28       Impact factor: 1.605

3.  Correlation between voxel-wise enhancement parameters on DCE-MRI and pathological prognostic factors in invasive breast cancers.

Authors:  Rubina Manuela Trimboli; Marina Codari; Katia Khouri Chalouhi; Ileana Ioan; Giovanna Lo Bue; Arianna Ottini; Daniela Casolino; Luca Alessandro Carbonaro; Francesco Sardanelli
Journal:  Radiol Med       Date:  2017-09-25       Impact factor: 3.469

4.  Short tau inversion recovery in breast diffusion-weighted imaging: signal-to-noise ratio and apparent diffusion coefficients using a breast phantom in comparison with spectral attenuated inversion recovery.

Authors:  Tsukasa Yoshida; Atsushi Urikura; Kensei Shirata; Yoshihiro Nakaya; Masahiro Endo; Shingo Terashima; Yoichiro Hosokawa
Journal:  Radiol Med       Date:  2017-12-11       Impact factor: 3.469

5.  A dual-tuned multichannel bilateral RF coil for 1 H/23 Na breast MRI at 7 T.

Authors:  Carlotta Ianniello; Guillaume Madelin; Linda Moy; Ryan Brown
Journal:  Magn Reson Med       Date:  2019-05-31       Impact factor: 4.668

6.  Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.

Authors:  Nita Amornsiripanitch; Sebastian Bickelhaupt; Hee Jung Shin; Madeline Dang; Habib Rahbar; Katja Pinker; Savannah C Partridge
Journal:  Radiology       Date:  2019-10-08       Impact factor: 11.105

7.  Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).

Authors:  Habib Rahbar; Zheng Zhang; Thomas L Chenevert; Justin Romanoff; Averi E Kitsch; Lucy G Hanna; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Karen Y Oh; Colleen H Neal; Elizabeth S McDonald; Mitchell D Schnall; Constance D Lehman; Christopher E Comstock; Savannah C Partridge
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

Review 8.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

9.  DWI in the Assessment of Breast Lesions.

Authors:  Savannah C Partridge; Nita Amornsiripanitch
Journal:  Top Magn Reson Imaging       Date:  2017-10

10.  Low-dose imaging technique (LITE) MRI: initial experience in breast imaging.

Authors:  Federico Pineda; Deepa Sheth; Hiroyuki Abe; Milica Medved; Gregory S Karczmar
Journal:  Br J Radiol       Date:  2019-07-11       Impact factor: 3.039

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