Literature DB >> 27955879

Comparison and Optimization of 3.0 T Breast Images Quality of Diffusion-Weighted Imaging with Multiple B-Values.

Xiaowei Han1, Junfeng Li1, Xiaoyi Wang2.   

Abstract

RATIONALE AND
OBJECTIVES: Breast 3.0 T magnetic resonance diffusion-weighted imaging (MR-DWI) of benign and malignant lesions were obtained to measure and calculate the signal-to-noise ratio (SNR), signal intensity ratio (SIR), and contrast-to-noise ratio (CNR) of lesions at different b-values. The variation patterns of SNR and SIR were analyzed with different b-values and the images of DWI were compared at four different b-values with higher image quality. The effect of SIR on the differential diagnostic efficiency of benign and malignant lesions was compared using receiver operating characteristic curves to provide a reference for selecting the optimal b-value.
MATERIALS AND METHODS: A total of 96 qualified patients with 112 lesions and 14 patients with their contralateral 14 normal breasts were included in this study. The single-shot echo planar imaging sequence was used to perform the DWI and a total of 13 b-values were used: 0, 50, 100, 200, 400, 600, 800, 1000, 1200, 1500, 1800, 2000, and 2500 s/mm2. On DWI, the suitable regions of interest were selected. The SNRs of normal breasts (SNRnormal), SNRlesions, SIR, and CNR of benign and malignant lesions were measured on DWI with different b-values and calculated. The variation patterns of SNR, SIR, and CNR values on DWI for normal breasts, benign lesions, and malignant lesions with different b-values were analyzed by using Pearson correlation analysis. The SNR and SIR of benign and malignant lesions with the same b-values were compared using t-tests. The diagnostic efficiencies of SIR with different b-values for benign and malignant lesions were evaluated using receiver operating characteristic curves.
RESULTS: Breast DWI had higher CNR for b-values ranging from 600 to 1200 s/mm2. It had the best CNR at b = 1000 s/mm2 for the benign lesions and at b = 1200 s/mm2 for the malignant lesions. The signal intensity and SNR values of normal breasts decreased with increasing b-values, with a negative correlation (r = -0.945, P < 0.01). The mean SNR values of benign and malignant lesions were negatively correlated (r = -0.982 and -0.947, respectively, and P < 0.01), gradually decreasing with increasing b-values. The mean SIR value of benign lesions gradually decreased with increasing b-values, a negative correlation (r = -0.991, P < 0.01). The mean SIR values of malignant lesions gradually increased with increasing b-values between 0 and 1200 s/mm2, and gradually decreased with increasing b-values ≥ 1500 s/mm2. For b-values of 600, 800, 1000, and 1200 s/mm2, the sensitivity and specificity of SIR in identifying benign and malignant lesions gradually increased with increasing b-values, peaking at 1200 s/mm2.
CONCLUSIONS: Breast DWI had higher image quality for b-values ranging from 600 to 1200 s/mm2, and was best for b-values ranging from 1000 to 1200 s/mm2. The SIR had the highest diagnostic efficiency in differentiating benign and malignant lesions for a b-value of 1200 s/mm2.
Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast; breast neoplasm; diffusion-weighted imaging

Mesh:

Year:  2016        PMID: 27955879     DOI: 10.1016/j.acra.2016.11.006

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  10 in total

1.  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

2.  Breast Cancer Conspicuity on Computed Versus Acquired High b-Value Diffusion-Weighted MRI.

Authors:  Michaela R DelPriore; Debosmita Biswas; Daniel S Hippe; Mladen Zecevic; Sana Parsian; John R Scheel; Habib Rahbar; Savannah C Partridge
Journal:  Acad Radiol       Date:  2020-04-16       Impact factor: 5.482

3.  Diagnostic value of high b-value (2000 s/mm2) DWI for thyroid micronodules.

Authors:  Qingjun Wang; Yong Guo; Jing Zhang; Haoyong Ning; Xiliang Zhang; Yuanyuan Lu; Qinglei Shi
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.817

4.  The feasibility of b-value maps based on threshold DWI for detection of breast cancer: A case-control STROBE compliant study.

Authors:  Na Zhao; Chao Ma; Xiaolong Ye; Nimpagaritse Danie; Caixia Fu; Qiang Hao; Jianping Lu
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

5.  The value of DWI in predicting the response to synchronous radiochemotherapy for advanced cervical carcinoma: comparison among three mathematical models.

Authors:  Hui Zhang; Yuyang Zhou; Jie Li; Pengjuan Zhang; Zhenzhen Li; Junwu Guo
Journal:  Cancer Imaging       Date:  2020-01-14       Impact factor: 3.909

Review 6.  Diffusion-Weighted Magnetic Resonance Imaging of the Breast: Standardization of Image Acquisition and Interpretation.

Authors:  Su Hyun Lee; Hee Jung Shin; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-08-28       Impact factor: 3.500

Review 7.  Diffusion Breast MRI: Current Standard and Emerging Techniques.

Authors:  Ashley M Mendez; Lauren K Fang; Claire H Meriwether; Summer J Batasin; Stéphane Loubrie; Ana E Rodríguez-Soto; Rebecca A Rakow-Penner
Journal:  Front Oncol       Date:  2022-07-08       Impact factor: 5.738

Review 8.  [Diffusion-Weighted Imaging as a Stand-Alone Breast Imaging Modality].

Authors:  Hee Jung Shin; Su Hyun Lee; Woo Kyung Moon
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-01-31

9.  Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI.

Authors:  Isaac Daimiel Naranjo; Roberto Lo Gullo; Carolina Saccarelli; Sunitha B Thakur; Almir Bitencourt; Elizabeth A Morris; Maxine S Jochelson; Varadan Sevilimedu; Danny F Martinez; Katja Pinker-Domenig
Journal:  Eur Radiol       Date:  2020-08-11       Impact factor: 5.315

10.  Image quality and diagnostic value of diffusion-weighted breast magnetic resonance imaging: Comparison of acquired and computed images.

Authors:  Hye Shin Ahn; Sung Hun Kim; Ji Youn Kim; Chang Suk Park; Robert Grimm; Yohan Son
Journal:  PLoS One       Date:  2021-02-22       Impact factor: 3.240

  10 in total

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