Literature DB >> 27161063

Meta analysis of lymph node metastasis of breast cancer patients: Clinical value of DWI and ADC value.

Hua Xing1, Chang-Long Song2, Wen-Jia Li1.   

Abstract

OBJECTIVES: To evaluate the diagnostic utility of DWI in the assessment of node metastases and investigate whether the ADC value could be used to discriminate between metastatic and non-metastatic lymph nodes in breast cancer patients.
MATERIALS AND METHODS: 13 studies with a total of 676 metastatic and 811 non-metastatic lymph nodes were included.
RESULTS: (1) The pooled sensitivity, specificity, PPV and NPV of DWI were 0.83, 0.82, 0.83 and 0.85, respectively. The PLR and NLR were 4.95 and 0.23, respectively. The AUC and Q* index were 0.91 and 0.85, respectively. (2) The ADC value of metastatic lymph nodes was lower than non-metastatic lymph nodes (WMD=-0.213, 95% CI -0.349 to -0.076, Z=3.05, P<0.05). (3) Subgroup meta-analysis of the group of b(0800): The pooled sensitivity, specificity, PPV and NPV of DWI were 0.86, 0.86, 0.82 and 0.90, respectively. The PLR and NLR were 6.76 and 0.18, respectively. The AUC and Q* index were 0.93 and 0.87. The ADC value of metastatic lymph nodes was lower than non-metastatic lymph nodes(WMD=-0.267, 95% CI -0.348 to -0.185, Z=6.40, P<0.05).
CONCLUSIONS: DWI and ADC value appear to be a reliable method to differentiate metastatic and non-metastatic lymph nodes. The combination of b=0 and 800s/mm(2) resulted in higher diagnostic accuracy and more pronounced ADC value difference. If only a couple of b values are used, those of b=0 and 800s/mm(2) are recommended.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; Diffusion weighted imaging; Lymph node metastases; Meta-analysis

Mesh:

Year:  2016        PMID: 27161063     DOI: 10.1016/j.ejrad.2016.03.019

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  6 in total

1.  Diffusion-weighted breast imaging.

Authors:  K Deike-Hofmann; T Kuder; F König; D Paech; C Dreher; S Delorme; H-P Schlemmer; S Bickelhaupt
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4.  The impact of body mass index (BMI) on MRI diagnostic performance and surgical management for axillary lymph node in breast cancer.

Authors:  Shu-Tian Chen; Hung-Wen Lai; Wen-Pei Wu; Shou-Tung Chen; Chiung-Ying Liao; Hwa-Koon Wu; Dar-Ren Chen; Chi Wei Mok
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5.  Breast MRI Segmentation and Ki-67 High- and Low-Expression Prediction Algorithm Based on Deep Learning.

Authors:  Yuan-Zhe Li; Yin-Hui Huang; Xian-Yan Su; Zhen-Qi Gu; Qing-Quan Lai; Jing Huang; Shu-Ting Li; Yi Wang
Journal:  Comput Math Methods Med       Date:  2022-10-04       Impact factor: 2.809

6.  Apparent diffusion coefficient cannot discriminate metastatic and non-metastatic lymph nodes in rectal cancer: a meta-analysis.

Authors:  Alexey Surov; Hans-Jonas Meyer; Maciej Pech; Maciej Powerski; Jasan Omari; Andreas Wienke
Journal:  Int J Colorectal Dis       Date:  2021-06-29       Impact factor: 2.571

  6 in total

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