Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness

To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for dif...
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Autor*in:	Vignati, A [verfasserIn] Mazzetti, S Giannini, V Russo, F Bollito, E Porpiglia, F Stasi, M Regge, D

Format:	Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Diffusion Magnetic Resonance Imaging - methods Prostatic Neoplasms - diagnosis Image Interpretation, Computer-Assisted - methods

Systematik:	WA 15000

Übergeordnetes Werk:	Enthalten in: Physics in medicine and biology - Bristol : IOP Publ., 1956, 60(2015), 7, Seite 2685
Übergeordnetes Werk:	volume:60 ; year:2015 ; number:7 ; pages:2685

Links:	Link aufrufen

Katalog-ID:	OLC1966076061

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245	1	0	\|a Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
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520			\|a To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness.
650		4	\|a Diffusion Magnetic Resonance Imaging - methods
650		4	\|a Prostatic Neoplasms - diagnosis
650		4	\|a Image Interpretation, Computer-Assisted - methods
700	1		\|a Mazzetti, S \|4 oth
700	1		\|a Giannini, V \|4 oth
700	1		\|a Russo, F \|4 oth
700	1		\|a Bollito, E \|4 oth
700	1		\|a Porpiglia, F \|4 oth
700	1		\|a Stasi, M \|4 oth
700	1		\|a Regge, D \|4 oth
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allfields	PQ20160617 (DE-627)OLC1966076061 (DE-599)GBVOLC1966076061 (PRQ)p1197-7d2c1fa7ced6181afe5e1f44fb67dac71da8fd38506bf07ece9ec2a86dbabe370 (KEY)0053250920150000060000702685texturefeaturesont2weightedmagneticresonanceimagin DE-627 ger DE-627 rakwb eng 570 540 530 DNB BIODIV fid WA 15000 AVZ rvk 44.31 bkl 42.12 bkl Vignati, A verfasserin aut Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness. Diffusion Magnetic Resonance Imaging - methods Prostatic Neoplasms - diagnosis Image Interpretation, Computer-Assisted - methods Mazzetti, S oth Giannini, V oth Russo, F oth Bollito, E oth Porpiglia, F oth Stasi, M oth Regge, D oth Enthalten in Physics in medicine and biology Bristol : IOP Publ., 1956 60(2015), 7, Seite 2685 (DE-627)129503991 (DE-600)208857-5 (DE-576)014907305 0031-9155 nnns volume:60 year:2015 number:7 pages:2685 http://www.ncbi.nlm.nih.gov/pubmed/25768265 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-PHY SSG-OLC-CHE GBV_ILN_22 GBV_ILN_70 GBV_ILN_170 GBV_ILN_4012 GBV_ILN_4219 GBV_ILN_4306 WA 15000 44.31 AVZ 42.12 AVZ AR 60 2015 7 2685
spelling	PQ20160617 (DE-627)OLC1966076061 (DE-599)GBVOLC1966076061 (PRQ)p1197-7d2c1fa7ced6181afe5e1f44fb67dac71da8fd38506bf07ece9ec2a86dbabe370 (KEY)0053250920150000060000702685texturefeaturesont2weightedmagneticresonanceimagin DE-627 ger DE-627 rakwb eng 570 540 530 DNB BIODIV fid WA 15000 AVZ rvk 44.31 bkl 42.12 bkl Vignati, A verfasserin aut Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness. Diffusion Magnetic Resonance Imaging - methods Prostatic Neoplasms - diagnosis Image Interpretation, Computer-Assisted - methods Mazzetti, S oth Giannini, V oth Russo, F oth Bollito, E oth Porpiglia, F oth Stasi, M oth Regge, D oth Enthalten in Physics in medicine and biology Bristol : IOP Publ., 1956 60(2015), 7, Seite 2685 (DE-627)129503991 (DE-600)208857-5 (DE-576)014907305 0031-9155 nnns volume:60 year:2015 number:7 pages:2685 http://www.ncbi.nlm.nih.gov/pubmed/25768265 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-PHY SSG-OLC-CHE GBV_ILN_22 GBV_ILN_70 GBV_ILN_170 GBV_ILN_4012 GBV_ILN_4219 GBV_ILN_4306 WA 15000 44.31 AVZ 42.12 AVZ AR 60 2015 7 2685
allfields_unstemmed	PQ20160617 (DE-627)OLC1966076061 (DE-599)GBVOLC1966076061 (PRQ)p1197-7d2c1fa7ced6181afe5e1f44fb67dac71da8fd38506bf07ece9ec2a86dbabe370 (KEY)0053250920150000060000702685texturefeaturesont2weightedmagneticresonanceimagin DE-627 ger DE-627 rakwb eng 570 540 530 DNB BIODIV fid WA 15000 AVZ rvk 44.31 bkl 42.12 bkl Vignati, A verfasserin aut Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness. Diffusion Magnetic Resonance Imaging - methods Prostatic Neoplasms - diagnosis Image Interpretation, Computer-Assisted - methods Mazzetti, S oth Giannini, V oth Russo, F oth Bollito, E oth Porpiglia, F oth Stasi, M oth Regge, D oth Enthalten in Physics in medicine and biology Bristol : IOP Publ., 1956 60(2015), 7, Seite 2685 (DE-627)129503991 (DE-600)208857-5 (DE-576)014907305 0031-9155 nnns volume:60 year:2015 number:7 pages:2685 http://www.ncbi.nlm.nih.gov/pubmed/25768265 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-PHY SSG-OLC-CHE GBV_ILN_22 GBV_ILN_70 GBV_ILN_170 GBV_ILN_4012 GBV_ILN_4219 GBV_ILN_4306 WA 15000 44.31 AVZ 42.12 AVZ AR 60 2015 7 2685
allfieldsGer	PQ20160617 (DE-627)OLC1966076061 (DE-599)GBVOLC1966076061 (PRQ)p1197-7d2c1fa7ced6181afe5e1f44fb67dac71da8fd38506bf07ece9ec2a86dbabe370 (KEY)0053250920150000060000702685texturefeaturesont2weightedmagneticresonanceimagin DE-627 ger DE-627 rakwb eng 570 540 530 DNB BIODIV fid WA 15000 AVZ rvk 44.31 bkl 42.12 bkl Vignati, A verfasserin aut Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness. Diffusion Magnetic Resonance Imaging - methods Prostatic Neoplasms - diagnosis Image Interpretation, Computer-Assisted - methods Mazzetti, S oth Giannini, V oth Russo, F oth Bollito, E oth Porpiglia, F oth Stasi, M oth Regge, D oth Enthalten in Physics in medicine and biology Bristol : IOP Publ., 1956 60(2015), 7, Seite 2685 (DE-627)129503991 (DE-600)208857-5 (DE-576)014907305 0031-9155 nnns volume:60 year:2015 number:7 pages:2685 http://www.ncbi.nlm.nih.gov/pubmed/25768265 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-PHY SSG-OLC-CHE GBV_ILN_22 GBV_ILN_70 GBV_ILN_170 GBV_ILN_4012 GBV_ILN_4219 GBV_ILN_4306 WA 15000 44.31 AVZ 42.12 AVZ AR 60 2015 7 2685
allfieldsSound	PQ20160617 (DE-627)OLC1966076061 (DE-599)GBVOLC1966076061 (PRQ)p1197-7d2c1fa7ced6181afe5e1f44fb67dac71da8fd38506bf07ece9ec2a86dbabe370 (KEY)0053250920150000060000702685texturefeaturesont2weightedmagneticresonanceimagin DE-627 ger DE-627 rakwb eng 570 540 530 DNB BIODIV fid WA 15000 AVZ rvk 44.31 bkl 42.12 bkl Vignati, A verfasserin aut Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness. Diffusion Magnetic Resonance Imaging - methods Prostatic Neoplasms - diagnosis Image Interpretation, Computer-Assisted - methods Mazzetti, S oth Giannini, V oth Russo, F oth Bollito, E oth Porpiglia, F oth Stasi, M oth Regge, D oth Enthalten in Physics in medicine and biology Bristol : IOP Publ., 1956 60(2015), 7, Seite 2685 (DE-627)129503991 (DE-600)208857-5 (DE-576)014907305 0031-9155 nnns volume:60 year:2015 number:7 pages:2685 http://www.ncbi.nlm.nih.gov/pubmed/25768265 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-PHY SSG-OLC-CHE GBV_ILN_22 GBV_ILN_70 GBV_ILN_170 GBV_ILN_4012 GBV_ILN_4219 GBV_ILN_4306 WA 15000 44.31 AVZ 42.12 AVZ AR 60 2015 7 2685
language	English
source	Enthalten in Physics in medicine and biology 60(2015), 7, Seite 2685 volume:60 year:2015 number:7 pages:2685
sourceStr	Enthalten in Physics in medicine and biology 60(2015), 7, Seite 2685 volume:60 year:2015 number:7 pages:2685
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topic_facet	Diffusion Magnetic Resonance Imaging - methods Prostatic Neoplasms - diagnosis Image Interpretation, Computer-Assisted - methods
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author	Vignati, A
spellingShingle	Vignati, A ddc 570 fid BIODIV rvk WA 15000 bkl 44.31 bkl 42.12 misc Diffusion Magnetic Resonance Imaging - methods misc Prostatic Neoplasms - diagnosis misc Image Interpretation, Computer-Assisted - methods Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
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topic_title	570 540 530 DNB BIODIV fid WA 15000 AVZ rvk 44.31 bkl 42.12 bkl Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness Diffusion Magnetic Resonance Imaging - methods Prostatic Neoplasms - diagnosis Image Interpretation, Computer-Assisted - methods
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title	Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
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title_full	Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
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title_sort	texture features on t2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
title_auth	Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
abstract	To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness.
abstractGer	To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness.
abstract_unstemmed	To explore contrast (C) and homogeneity (H) gray-level co-occurrence matrix texture features on T2-weighted (T2w) Magnetic Resonance (MR) images and apparent diffusion coefficient (ADC) maps for predicting prostate cancer (PCa) aggressiveness, and to compare them with traditional ADC metrics for differentiating low- from intermediate/high-grade PCas. The local Ethics Committee approved this prospective study of 93 patients (median age, 65 years), who underwent 1.5 T multiparametric endorectal MR imaging before prostatectomy. Clinically significant (volume ≥0.5 ml) peripheral tumours were outlined on histological sections, contoured on T2w and ADC images, and their pathological Gleason Score (pGS) was recorded. C, H, and traditional ADC metrics (mean, median, 10th and 25th percentile) were calculated on the largest lesion slice, and correlated with the pGS through the Spearman correlation coefficient. The area under the receiver operating characteristic curve (AUC) assessed how parameters differentiate pGS = 6 from pGS ≥ 7. The dataset included 49 clinically significant PCas with a balanced distribution of pGS. The Spearman ρ and AUC values on ADC were: -0.489, 0.823 (mean); -0.522, 0.821 (median); -0.569, 0.854 (10th percentile); -0.556, 0.854 (25th percentile); -0.386, 0.871 (C); 0.533, 0.923 (H); while on T2w they were: -0.654, 0.945 (C); 0.645, 0.962 (H). AUC of H on ADC and T2w, and C on T2w were significantly higher than that of the mean ADC (p = 0.05). H and C calculated on T2w images outperform ADC parameters in correlating with pGS and differentiating low- from intermediate/high-risk PCas, supporting the role of T2w MR imaging in assessing PCa biological aggressiveness.
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container_issue	7
title_short	Texture features on T2-weighted magnetic resonance imaging: new potential biomarkers for prostate cancer aggressiveness
url	http://www.ncbi.nlm.nih.gov/pubmed/25768265
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author2	Mazzetti, S Giannini, V Russo, F Bollito, E Porpiglia, F Stasi, M Regge, D
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