Literature DB >> 24837698

Diffusion-weighted imaging with fat suppression using short-tau inversion recovery: Clinical utility for diagnosis of breast lesions.

Z Ouyang1, Y Ouyang1, M Zhu1, Y Lu1, Z Zhang1, J Shi1, X Li1, G Ren2.   

Abstract

AIM: To compare the utility of conventional diffusion-weighted imaging (DWI) with fat suppression using short-tau inversion recovery (STIR-DWI) for the detection of breast lesions.
MATERIALS AND METHODS: Magnetic resonance imaging (MRI) images of 56 patients (both DWI and STIR-DWI performed) were retrospectively analysed. Parameters compared between DWI and STIR-DWI were image artefacts, image signal-to-noise ratio (SNR), apparent diffusion coefficient (ADC), and contrast-to-noise ratio (CNR). Diagnostic utility was assessed using receiver operating characteristic (ROC) analysis.
RESULTS: No abnormality was detected in 17 patients, with lesions observed in 39 patients (16 benign, 23 malignant; confirmed by biopsy or surgical histopathology). The rate of image artefacts was significantly lower for STIR-DWI (p < 0.01): quality levels 1 (best), 2, and 3 accounted for 50%, 35.7%, and 14.3% of DWI images, and 96.4%, 3.6% and 0% of STIR-DWI images, respectively. The SNR was not significantly different. ADC values of breast lesions and normal glands were significantly lower for DWI than for STIR-DWI (p = 0.03 and 0.034). ADC values of malignant lesions, but not benign lesions, were significantly lower for DWI than for STIR-DWI (p = 0.02). CNR values of both benign and malignant lesions were not significantly different between DWI and STIR-DWI. The area under the ROC curve, for the use of ADC values to differentiate benign from malignant lesions, was not significantly different between DWI (0.931) and STIR-DWI (0.914). Taking a threshold ADC value of 1.23 × 10(-3) mm(2)/s, the sensitivity and specificity were 87.5% and 87% for DWI, and 87.5% and 82.6% for STIR-DWI, respectively.
CONCLUSION: STIR-DWI is adequate for clinical use in breast MRI investigations.
Copyright © 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24837698     DOI: 10.1016/j.crad.2014.04.004

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


  5 in total

1.  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

2.  Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization-comparison between ADC value and ADC entropy.

Authors:  Haralambos Bougias; Abraham Ghiatas; Dimitrios Priovolos; Konstantia Veliou; Alexandra Christou
Journal:  Br J Radiol       Date:  2016-10-10       Impact factor: 3.039

3.  Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-10-15       Impact factor: 4.430

4.  The value of noncontrast MRI in evaluating breast imaging reporting and data system category 0 lesions on digital mammograms.

Authors:  Ruixin Zhang; Maosheng Xu; Changyu Zhou; Xuewei Ding; Huan Lu; Min Ge; Liang Du; Yangyang Bu
Journal:  Quant Imaging Med Surg       Date:  2022-08

5.  Improvement in local vascular perfusion of the lower extremities on intravoxel incoherent motion imaging: A case report.

Authors:  Mitsunari Maruyama; Hiroya Aso; Hisatoshi Araki; Rika Yoshida; Shinji Ando; Megumi Nakamura; Takeshi Yoshizako
Journal:  Radiol Case Rep       Date:  2022-09-15
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.