Cargando…

Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation

BACKGROUND: The aim of this study was to evaluate the association between prostate cancer (PCa) vascularity detected by superb microvascular imaging (SMI) and Gleason score in biopsy specimens. MATERIAL/METHODS: A total of 119 patients with suspected PCa before biopsy underwent gray-scale ultrasound...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Yi-Cheng, Shan, Jun, Zhang, Yuan, Jiang, Quan, Wang, Yong-Bing, Deng, Shu-Hao, Qu, Qing-Hua, Li, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873636/
https://www.ncbi.nlm.nih.gov/pubmed/31723116
http://dx.doi.org/10.12659/MSM.918318
_version_ 1783472704401178624
author Zhu, Yi-Cheng
Shan, Jun
Zhang, Yuan
Jiang, Quan
Wang, Yong-Bing
Deng, Shu-Hao
Qu, Qing-Hua
Li, Qing
author_facet Zhu, Yi-Cheng
Shan, Jun
Zhang, Yuan
Jiang, Quan
Wang, Yong-Bing
Deng, Shu-Hao
Qu, Qing-Hua
Li, Qing
author_sort Zhu, Yi-Cheng
collection PubMed
description BACKGROUND: The aim of this study was to evaluate the association between prostate cancer (PCa) vascularity detected by superb microvascular imaging (SMI) and Gleason score in biopsy specimens. MATERIAL/METHODS: A total of 119 patients with suspected PCa before biopsy underwent gray-scale ultrasound (US), color Doppler ultrasound (CDUS), and SMI imaging between June 2018 and March 2019. Vascularity quantity was assessed by SMI and compared with that of CDUS. The vessel parameter was also compared with the Gleason score. The sensitivity of PCa was compared between transrectal ultrasound guided systematic biopsy (SB) and SMI-guided targeted biopsy (SMI-guided TB). RESULTS: Pathology confirmed 74 of 119 patients had PCa. The microvascular quantity of PCa patients was significantly higher than that of non-malignant patients. SMI detected blood vessels in 97.3% (72/74) in the malignant group, while CDUS identified blood flow signals in 90.5% (67/74) of the PCa group. SMI visualized enriched microvascular in PCa of Gleason 8 (54.5%) and Gleason 9 (92.3%). There was a positive correlation between microvascular quantity detected by SMI and Gleason score, with a correlation coefficient of 0.373 (P<0.001). SMI-guided TB cores were significantly more likely than SB cores to detect PCa (OR=12.83, P<0.001). CONCLUSIONS: SMI could be promising as a useful imaging technique in the detection and characterization of PCa. There was a positive correlation between microvascular quantity detected by SMI and Gleason score.
format Online
Article
Text
id pubmed-6873636
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher International Scientific Literature, Inc.
record_format MEDLINE/PubMed
spelling pubmed-68736362019-11-25 Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation Zhu, Yi-Cheng Shan, Jun Zhang, Yuan Jiang, Quan Wang, Yong-Bing Deng, Shu-Hao Qu, Qing-Hua Li, Qing Med Sci Monit Medical Technology BACKGROUND: The aim of this study was to evaluate the association between prostate cancer (PCa) vascularity detected by superb microvascular imaging (SMI) and Gleason score in biopsy specimens. MATERIAL/METHODS: A total of 119 patients with suspected PCa before biopsy underwent gray-scale ultrasound (US), color Doppler ultrasound (CDUS), and SMI imaging between June 2018 and March 2019. Vascularity quantity was assessed by SMI and compared with that of CDUS. The vessel parameter was also compared with the Gleason score. The sensitivity of PCa was compared between transrectal ultrasound guided systematic biopsy (SB) and SMI-guided targeted biopsy (SMI-guided TB). RESULTS: Pathology confirmed 74 of 119 patients had PCa. The microvascular quantity of PCa patients was significantly higher than that of non-malignant patients. SMI detected blood vessels in 97.3% (72/74) in the malignant group, while CDUS identified blood flow signals in 90.5% (67/74) of the PCa group. SMI visualized enriched microvascular in PCa of Gleason 8 (54.5%) and Gleason 9 (92.3%). There was a positive correlation between microvascular quantity detected by SMI and Gleason score, with a correlation coefficient of 0.373 (P<0.001). SMI-guided TB cores were significantly more likely than SB cores to detect PCa (OR=12.83, P<0.001). CONCLUSIONS: SMI could be promising as a useful imaging technique in the detection and characterization of PCa. There was a positive correlation between microvascular quantity detected by SMI and Gleason score. International Scientific Literature, Inc. 2019-11-14 /pmc/articles/PMC6873636/ /pubmed/31723116 http://dx.doi.org/10.12659/MSM.918318 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Medical Technology
Zhu, Yi-Cheng
Shan, Jun
Zhang, Yuan
Jiang, Quan
Wang, Yong-Bing
Deng, Shu-Hao
Qu, Qing-Hua
Li, Qing
Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation
title Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation
title_full Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation
title_fullStr Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation
title_full_unstemmed Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation
title_short Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation
title_sort prostate cancer vascularity: superb microvascular imaging ultrasonography with histopathology correlation
topic Medical Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873636/
https://www.ncbi.nlm.nih.gov/pubmed/31723116
http://dx.doi.org/10.12659/MSM.918318
work_keys_str_mv AT zhuyicheng prostatecancervascularitysuperbmicrovascularimagingultrasonographywithhistopathologycorrelation
AT shanjun prostatecancervascularitysuperbmicrovascularimagingultrasonographywithhistopathologycorrelation
AT zhangyuan prostatecancervascularitysuperbmicrovascularimagingultrasonographywithhistopathologycorrelation
AT jiangquan prostatecancervascularitysuperbmicrovascularimagingultrasonographywithhistopathologycorrelation
AT wangyongbing prostatecancervascularitysuperbmicrovascularimagingultrasonographywithhistopathologycorrelation
AT dengshuhao prostatecancervascularitysuperbmicrovascularimagingultrasonographywithhistopathologycorrelation
AT quqinghua prostatecancervascularitysuperbmicrovascularimagingultrasonographywithhistopathologycorrelation
AT liqing prostatecancervascularitysuperbmicrovascularimagingultrasonographywithhistopathologycorrelation