Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.

<h4>Background</h4>Magnetic resonance imaging (MRI) is essential in the detection and staging of prostate cancer. However, improved tools to distinguish between low-risk and high-risk cancer are needed in order to select the appropriate treatment.<h4>Purpose</h4>To investigat...

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Autores principales:	Ingrid Framås Syversen, Mattijs Elschot, Elise Sandsmark, Helena Bertilsson, Tone Frost Bathen, Pål Erik Goa
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9a8fbd822d7b4f8bbed928b237a56986
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spelling	oai:doaj.org-article:9a8fbd822d7b4f8bbed928b237a569862021-11-25T06:23:39ZExploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.1932-620310.1371/journal.pone.0252387https://doaj.org/article/9a8fbd822d7b4f8bbed928b237a569862021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252387https://doaj.org/toc/1932-6203<h4>Background</h4>Magnetic resonance imaging (MRI) is essential in the detection and staging of prostate cancer. However, improved tools to distinguish between low-risk and high-risk cancer are needed in order to select the appropriate treatment.<h4>Purpose</h4>To investigate the diagnostic potential of signal fractions estimated from a two-component model using combined T2- and diffusion-weighted imaging (T2-DWI).<h4>Material and methods</h4>62 patients with prostate cancer and 14 patients with benign prostatic hyperplasia (BPH) underwent combined T2-DWI (TE = 55 and 73 ms, b-values = 50 and 700 s/mm2) following clinical suspicion of cancer, providing a set of 4 measurements per voxel. Cancer was confirmed in post-MRI biopsy, and regions of interest (ROIs) were delineated based on radiology reporting. Signal fractions of the slow component (SFslow) of the proposed two-component model were calculated from a model fit with 2 free parameters, and compared to conventional bi- and mono-exponential apparent diffusion coefficient (ADC) models.<h4>Results</h4>All three models showed a significant difference (p<0.0001) between peripheral zone (PZ) tumor and normal tissue ROIs, but not between non-PZ tumor and BPH ROIs. The area under the receiver operating characteristics curve distinguishing tumor from prostate voxels was 0.956, 0.949 and 0.949 for the two-component, bi-exponential and mono-exponential models, respectively. The corresponding Spearman correlation coefficients between tumor values and Gleason Grade Group were fair (0.370, 0.499 and -0.490), but not significant.<h4>Conclusion</h4>Signal fraction estimates from a two-component model based on combined T2-DWI can differentiate between tumor and normal prostate tissue and show potential for prostate cancer diagnosis. The model performed similarly to conventional diffusion models.Ingrid Framås SyversenMattijs ElschotElise SandsmarkHelena BertilssonTone Frost BathenPål Erik GoaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0252387 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ingrid Framås Syversen Mattijs Elschot Elise Sandsmark Helena Bertilsson Tone Frost Bathen Pål Erik Goa Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.
description	<h4>Background</h4>Magnetic resonance imaging (MRI) is essential in the detection and staging of prostate cancer. However, improved tools to distinguish between low-risk and high-risk cancer are needed in order to select the appropriate treatment.<h4>Purpose</h4>To investigate the diagnostic potential of signal fractions estimated from a two-component model using combined T2- and diffusion-weighted imaging (T2-DWI).<h4>Material and methods</h4>62 patients with prostate cancer and 14 patients with benign prostatic hyperplasia (BPH) underwent combined T2-DWI (TE = 55 and 73 ms, b-values = 50 and 700 s/mm2) following clinical suspicion of cancer, providing a set of 4 measurements per voxel. Cancer was confirmed in post-MRI biopsy, and regions of interest (ROIs) were delineated based on radiology reporting. Signal fractions of the slow component (SFslow) of the proposed two-component model were calculated from a model fit with 2 free parameters, and compared to conventional bi- and mono-exponential apparent diffusion coefficient (ADC) models.<h4>Results</h4>All three models showed a significant difference (p<0.0001) between peripheral zone (PZ) tumor and normal tissue ROIs, but not between non-PZ tumor and BPH ROIs. The area under the receiver operating characteristics curve distinguishing tumor from prostate voxels was 0.956, 0.949 and 0.949 for the two-component, bi-exponential and mono-exponential models, respectively. The corresponding Spearman correlation coefficients between tumor values and Gleason Grade Group were fair (0.370, 0.499 and -0.490), but not significant.<h4>Conclusion</h4>Signal fraction estimates from a two-component model based on combined T2-DWI can differentiate between tumor and normal prostate tissue and show potential for prostate cancer diagnosis. The model performed similarly to conventional diffusion models.
format	article
author	Ingrid Framås Syversen Mattijs Elschot Elise Sandsmark Helena Bertilsson Tone Frost Bathen Pål Erik Goa
author_facet	Ingrid Framås Syversen Mattijs Elschot Elise Sandsmark Helena Bertilsson Tone Frost Bathen Pål Erik Goa
author_sort	Ingrid Framås Syversen
title	Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.
title_short	Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.
title_full	Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.
title_fullStr	Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.
title_full_unstemmed	Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.
title_sort	exploring the diagnostic potential of adding t2 dependence in diffusion-weighted mr imaging of the prostate.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/9a8fbd822d7b4f8bbed928b237a56986
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Exploring the diagnostic potential of adding T2 dependence in diffusion-weighted MR imaging of the prostate.

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