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

Naief Dahran; Magdalena Szewczyk-Bieda; Cheng Wei; Sarah Vinnicombe; Ghulam Nabi

doi:10.1038/s41598-017-04951-8

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

Naief Dahran, Magdalena Szewczyk-Bieda, Cheng Wei, Sarah Vinnicombe, Ghulam Nabi (Lead / Corresponding author)

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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).

Original language	English
Article number	4630
Pages (from-to)	1-10
Number of pages	10
Journal	Scientific Reports
Volume	7
DOIs	https://doi.org/10.1038/s41598-017-04951-8
Publication status	Published - 5 Jul 2017

Keywords

Prostate
Surgical oncology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41598-017-04951-8Licence: CC BY

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Final published version, 2.19 MBLicence: CC BY

Nabi, Ghulam
- Cancer Research - Clinical Professor (Teaching and Research) of Surgical Uro-Oncology
Person: Academic

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title = "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 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).",

keywords = "Prostate , Surgical oncology ",

author = "Naief Dahran and Magdalena Szewczyk-Bieda and Cheng Wei and Sarah Vinnicombe and Ghulam Nabi",

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AU - Dahran, Naief

AU - Szewczyk-Bieda, Magdalena

AU - Wei, Cheng

AU - Vinnicombe, Sarah

AU - Nabi, Ghulam

N1 - No funding info

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N2 - 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).

AB - 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).

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ER -

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

Abstract

Keywords

UN SDGs

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Nabi, Ghulam

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