Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease

Abstract Periprostatic and pelvic fat have been shown to influence prostate cancer behaviour through the secretion of chemokines and growth factors, acting in a paracrine mode. We have measured periprostatic fat volume (PFV) with normalisation to prostate gland volume on pelvic magnetic resonance im...

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Autores principales:	Naief Dahran, Magdalena Szewczyk-Bieda, Cheng Wei, Sarah Vinnicombe, Ghulam Nabi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1fc6e14cd68a477182343e822a53d794
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spelling	oai:doaj.org-article:1fc6e14cd68a477182343e822a53d7942021-12-02T11:52:56ZNormalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease10.1038/s41598-017-04951-82045-2322https://doaj.org/article/1fc6e14cd68a477182343e822a53d7942017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04951-8https://doaj.org/toc/2045-2322Abstract Periprostatic and pelvic fat have been shown to influence prostate cancer behaviour through the secretion of chemokines and growth factors, acting in a paracrine mode. We have measured periprostatic fat volume (PFV) with normalisation to prostate gland volume on pelvic magnetic resonance imaging (MRI) and have correlated this with grade (Gleason score; GS) and pathological staging (pT) of prostate cancer (PCa) following radical prostatectomy (RP). PFV was determined using a segmentation technique on contiguous T1-weighted axial MRI slices from the level of the prostate base to the apex. The abdominal fat area (AFA) and subcutaneous fat thickness (SFT) were measured using T1-weighted axial slices at the level of the umbilicus and the upper border of the symphysis pubis, respectively. PFV was normalised to prostate volume (PV) to account for variations in PV (NPFV = PFV/PV). Patients were stratified into three risk groups according to post-operative GS: ≤6, 7(3 + 4), and ≥7(4 + 3). NPFV was significantly different between the groups (p = 0.001) and positively correlated with post-operative GS (ρ = 0.294, p < 0.001). There was a difference in NPFV between those with upgrading of GS from 6 post prostatectomy (2.43 ± 0.98; n = 26) compared to those who continued to be low grade (1.99 ± 0.82; n = 17); however, this did not reach statistical significance (p = 0.11).Naief DahranMagdalena Szewczyk-BiedaCheng WeiSarah VinnicombeGhulam NabiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Naief Dahran Magdalena Szewczyk-Bieda Cheng Wei Sarah Vinnicombe Ghulam Nabi Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease
description	Abstract Periprostatic and pelvic fat have been shown to influence prostate cancer behaviour through the secretion of chemokines and growth factors, acting in a paracrine mode. We have measured periprostatic fat volume (PFV) with normalisation to prostate gland volume on pelvic magnetic resonance imaging (MRI) and have correlated this with grade (Gleason score; GS) and pathological staging (pT) of prostate cancer (PCa) following radical prostatectomy (RP). PFV was determined using a segmentation technique on contiguous T1-weighted axial MRI slices from the level of the prostate base to the apex. The abdominal fat area (AFA) and subcutaneous fat thickness (SFT) were measured using T1-weighted axial slices at the level of the umbilicus and the upper border of the symphysis pubis, respectively. PFV was normalised to prostate volume (PV) to account for variations in PV (NPFV = PFV/PV). Patients were stratified into three risk groups according to post-operative GS: ≤6, 7(3 + 4), and ≥7(4 + 3). NPFV was significantly different between the groups (p = 0.001) and positively correlated with post-operative GS (ρ = 0.294, p < 0.001). There was a difference in NPFV between those with upgrading of GS from 6 post prostatectomy (2.43 ± 0.98; n = 26) compared to those who continued to be low grade (1.99 ± 0.82; n = 17); however, this did not reach statistical significance (p = 0.11).
format	article
author	Naief Dahran Magdalena Szewczyk-Bieda Cheng Wei Sarah Vinnicombe Ghulam Nabi
author_facet	Naief Dahran Magdalena Szewczyk-Bieda Cheng Wei Sarah Vinnicombe Ghulam Nabi
author_sort	Naief Dahran
title	Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease
title_short	Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease
title_full	Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease
title_fullStr	Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease
title_full_unstemmed	Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease
title_sort	normalized periprostatic fat mri measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/1fc6e14cd68a477182343e822a53d794
work_keys_str_mv	AT naiefdahran normalizedperiprostaticfatmrimeasurementscanpredictprostatecanceraggressivenessinmenundergoingradicalprostatectomyforclinicallylocaliseddisease AT magdalenaszewczykbieda normalizedperiprostaticfatmrimeasurementscanpredictprostatecanceraggressivenessinmenundergoingradicalprostatectomyforclinicallylocaliseddisease AT chengwei normalizedperiprostaticfatmrimeasurementscanpredictprostatecanceraggressivenessinmenundergoingradicalprostatectomyforclinicallylocaliseddisease AT sarahvinnicombe normalizedperiprostaticfatmrimeasurementscanpredictprostatecanceraggressivenessinmenundergoingradicalprostatectomyforclinicallylocaliseddisease AT ghulamnabi normalizedperiprostaticfatmrimeasurementscanpredictprostatecanceraggressivenessinmenundergoingradicalprostatectomyforclinicallylocaliseddisease
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Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease

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