Literature DB >> 29230679

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.

Tsukasa Yoshida1,2, Atsushi Urikura3, Kensei Shirata3, Yoshihiro Nakaya3, Masahiro Endo3, Shingo Terashima4, Yoichiro Hosokawa4.   

Abstract

OBJECTIVE: This study aimed to compare the signal-to-noise ratios (SNRs) and apparent diffusion coefficients (ADCs) obtained using two fat suppression techniques in breast diffusion-weighted imaging (DWI) of a phantom.
MATERIALS AND METHODS: The breast phantom comprised agar gels with four different concentrations of granulated sugar (samples 1, 2, 3, and 4). DWI with short tau inversion recovery (STIR-DWI) and that with spectral attenuated inversion recovery (SPAIR-DWI) were performed using 3.0-T magnetic resonance imaging, and the obtained SNRs and ADCs were compared. ADCs were also compared between the right and left breast phantoms.
RESULTS: For samples 3 and 4, SNRs obtained using STIR-DWI were lower than those obtained using SPAIR-DWI. For samples 2, 3, and 4, overall ADCs obtained using STIR-DWI were significantly higher than those obtained using SPAIR-DWI (p < 0.001 for all), although no significant difference was observed for sample 1 (p = 0.62). STIR-DWI shows a positive bias and wide limits of agreement in Bland-Altman plot. The coefficients of variance of overall ADCs were good in STIR-DWI and SPAIR-DWI. For all samples, STIR-DWI demonstrated slightly larger percentage differences in ADCs between the right and left phantoms than SPAIR-DWI.
CONCLUSION: SNRs and ADCs obtained using STIR-DWI are influenced by the T 1 value; a shorter T 1 value decreases SNRs, overestimates ADCs, and induces the measurement error in ADCs. STIR-DWI showed a larger difference in ADCs between the right and left phantoms than SPAIR-DWI.

Entities:  

Keywords:  Apparent diffusion coefficient; Diffusion-weighted imaging; Short tau inversion recovery; Signal-to-noise ratio

Mesh:

Year:  2017        PMID: 29230679     DOI: 10.1007/s11547-017-0840-9

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  27 in total

Review 1.  Diffusion-weighted MR imaging of the breast: advantages and pitfalls.

Authors:  I Thomassin-Naggara; C De Bazelaire; J Chopier; M Bazot; C Marsault; I Trop
Journal:  Eur J Radiol       Date:  2012-05-31       Impact factor: 3.528

2.  Diffusion-weighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis?

Authors:  Wolfgang Bogner; Stephan Gruber; Katja Pinker; Günther Grabner; Andreas Stadlbauer; Michael Weber; Ewald Moser; Thomas H Helbich; Siegfried Trattnig
Journal:  Radiology       Date:  2009-07-31       Impact factor: 11.105

3.  Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.

Authors:  Raphael Richard; Isabelle Thomassin; Marion Chapellier; Aurélie Scemama; Patricia de Cremoux; Mariana Varna; Sylvie Giacchetti; Marc Espié; Eric de Kerviler; Cedric de Bazelaire
Journal:  Eur Radiol       Date:  2013-05-08       Impact factor: 5.315

4.  Breast DWI at 3 T: influence of the fat-suppression technique on image quality and diagnostic performance.

Authors:  Luisa Nogueira; Sofia Brandão; Rita G Nunes; Hugo Alexandre Ferreira; Joana Loureiro; Isabel Ramos
Journal:  Clin Radiol       Date:  2014-12-30       Impact factor: 2.350

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

Review 6.  Fat suppression in MR imaging: techniques and pitfalls.

Authors:  E M Delfaut; J Beltran; G Johnson; J Rousseau; X Marchandise; A Cotten
Journal:  Radiographics       Date:  1999 Mar-Apr       Impact factor: 5.333

7.  Significance of the ADC ratio in the differential diagnosis of breast lesions.

Authors:  Jinli Zhao; Haitao Guan; Minda Li; Hongmei Gu; Jufeng Qin; Xianhua Wu
Journal:  Acta Radiol       Date:  2015-06-12       Impact factor: 1.990

8.  Longitudinal and multi-echo transverse relaxation times of normal breast tissue at 3 Tesla.

Authors:  Richard A E Edden; Seth A Smith; Peter B Barker
Journal:  J Magn Reson Imaging       Date:  2010-10       Impact factor: 4.813

9.  Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging.

Authors:  Yong Guo; You-Quan Cai; Zu-Long Cai; Yuan-Gui Gao; Ning-Yu An; Lin Ma; Srikanth Mahankali; Jia-Hong Gao
Journal:  J Magn Reson Imaging       Date:  2002-08       Impact factor: 4.813

10.  Diffusion-weighted MR imaging for characterizing musculoskeletal lesions.

Authors:  Ty K Subhawong; Michael A Jacobs; Laura M Fayad
Journal:  Radiographics       Date:  2014 Sep-Oct       Impact factor: 5.333

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.