Literature DB >> 33963782

High spectral and spatial resolution MRI of prostate cancer: a pilot study.

Milica Medved1,2, Aritrick Chatterjee1,2, Ajit Devaraj3, Carla Harmath1, Grace Lee1, Ambereen Yousuf1,2, Tatjana Antic4, Aytekin Oto1,2, Gregory S Karczmar1,2.   

Abstract

PURPOSE: High spectral and spatial resolution (HiSS) MRI is a spectroscopic imaging method focusing on water and fat resonances that has good diagnostic utility in breast imaging. The purpose of this work was to assess the feasibility and potential utility of HiSS MRI for the diagnosis of prostate cancer.
METHODS: HiSS MRI was acquired at 3 T from six patients who underwent prostatectomy, yielding a train of 127 phase-coherent gradient echo (GRE) images. In the temporal domain, changes in voxel intensity were analyzed and linear (R) and quadratic (R1, R2) quantifiers of signal logarithm decay were calculated. In the spectral domain, three signal scaling-independent parameters were calculated: water resonance peak width (PW), relative peak asymmetry (PRA), and relative peak distortion from ideal Lorentzian shape (PRD). Seven cancer and five normal tissue regions of interest were identified in correlation with pathology and compared.
RESULTS: HiSS-derived quantifiers, except R2, showed high reproducibility (coefficients of variation, 5%-14%). Spectral domain quantifiers performed better than temporal domain quantifiers, with receiver operator characteristic areas under the curve ranging from of 0.83 to 0.91. For temporal domain parameters, the range was 0.74 to 0.91. Low absolute values of the coefficients of correlation between monoexponential decay markers (R, PW) and resonance shape markers (PRA, PRD) were observed (range, 0.23-0.38).
CONCLUSION: The feasibility and potential diagnostic utility of HiSS MRI in the prostate at 3 T without an endorectal coil was confirmed. Weak correlation between well-performing markers indicates that complementary information could be leveraged to further improve diagnostic accuracy.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  diagnostic accuracy; echo-planar spectroscopic imaging; high spectral and spatial resolution (HiSS) MRI; multiparametric MRI (mp-MRI) of prostate cancer; quantitative MRI; temporal and spatial domains

Mesh:

Year:  2021        PMID: 33963782      PMCID: PMC8887834          DOI: 10.1002/mrm.28802

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  32 in total

1.  Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images versus contrast enhanced fat-suppressed images.

Authors:  Milica Medved; Xiaobing Fan; Hiroyuki Abe; Gillian M Newstead; Abbie M Wood; Akiko Shimauchi; Kirti Kulkarni; Marko K Ivancevic; Lorenzo L Pesce; Olufunmilayo I Olopade; Gregory S Karczmar
Journal:  Acad Radiol       Date:  2011-10-01       Impact factor: 3.173

2.  Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions.

Authors:  Neha Bhooshan; Maryellen Giger; Milica Medved; Hui Li; Abbie Wood; Yading Yuan; Li Lan; Angelica Marquez; Greg Karczmar; Gillian Newstead
Journal:  J Magn Reson Imaging       Date:  2013-09-10       Impact factor: 4.813

3.  High speed 1H spectroscopic imaging in human brain by echo planar spatial-spectral encoding.

Authors:  S Posse; G Tedeschi; R Risinger; R Ogg; D Le Bihan
Journal:  Magn Reson Med       Date:  1995-01       Impact factor: 4.668

4.  Hybrid multidimensional T(2) and diffusion-weighted MRI for prostate cancer detection.

Authors:  Shiyang Wang; Yahui Peng; Milica Medved; Ambereen N Yousuf; Marko K Ivancevic; Ibrahim Karademir; Yulei Jiang; Tatjana Antic; Steffen Sammet; Aytekin Oto; Gregory S Karczmar
Journal:  J Magn Reson Imaging       Date:  2013-08-01       Impact factor: 4.813

5.  Echo-planar spectroscopic imaging (EPSI) of the water resonance structure in human breast using sensitivity encoding (SENSE).

Authors:  Milica Medved; Marko K Ivancevic; Olufunmilayo I Olopade; Gillian M Newstead; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2010-06       Impact factor: 4.668

Review 6.  Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature.

Authors:  Jurgen J Fütterer; Alberto Briganti; Pieter De Visschere; Mark Emberton; Gianluca Giannarini; Alex Kirkham; Samir S Taneja; Harriet Thoeny; Geert Villeirs; Arnauld Villers
Journal:  Eur Urol       Date:  2015-02-02       Impact factor: 20.096

7.  Prostate tissue composition and MR measurements: investigating the relationships between ADC, T2, K(trans), v(e), and corresponding histologic features.

Authors:  Deanna L Langer; Theodorus H van der Kwast; Andrew J Evans; Anna Plotkin; John Trachtenberg; Brian C Wilson; Masoom A Haider
Journal:  Radiology       Date:  2010-05       Impact factor: 11.105

8.  The effect of varying spectral resolution on the quality of high spectral and spatial resolution magnetic resonance images of the breast.

Authors:  Milica Medved; Weiliang Du; Marta A Zamora; Xiaobing Fan; Olufunmilayo I Olopade; Peter M MacEneaney; Gillian Newstead; Gregory S Karczmar
Journal:  J Magn Reson Imaging       Date:  2003-10       Impact factor: 4.813

Review 9.  Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2.

Authors:  Baris Turkbey; Andrew B Rosenkrantz; Masoom A Haider; Anwar R Padhani; Geert Villeirs; Katarzyna J Macura; Clare M Tempany; Peter L Choyke; Francois Cornud; Daniel J Margolis; Harriet C Thoeny; Sadhna Verma; Jelle Barentsz; Jeffrey C Weinreb
Journal:  Eur Urol       Date:  2019-03-18       Impact factor: 20.096

10.  Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study.

Authors:  Hashim U Ahmed; Ahmed El-Shater Bosaily; Louise C Brown; Rhian Gabe; Richard Kaplan; Mahesh K Parmar; Yolanda Collaco-Moraes; Katie Ward; Richard G Hindley; Alex Freeman; Alex P Kirkham; Robert Oldroyd; Chris Parker; Mark Emberton
Journal:  Lancet       Date:  2017-01-20       Impact factor: 79.321

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  2 in total

Review 1.  Emerging MR methods for improved diagnosis of prostate cancer by multiparametric MRI.

Authors:  Durgesh Kumar Dwivedi; Naranamangalam R Jagannathan
Journal:  MAGMA       Date:  2022-07-22       Impact factor: 2.533

2.  Information theoretic evaluation of Lorentzian, Gaussian, Voigt, and symmetric alpha-stable models of reversible transverse relaxation in cervical cancer in vivo at 3 T.

Authors:  Pelin Ciris
Journal:  MAGMA       Date:  2022-08-04       Impact factor: 2.533

  2 in total

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