Evidence map›Paper›PMID 31723116›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Prostate Cancer Vascularity: Superb Microvascular Imaging Ultrasonography with Histopathology Correlation.

Yi-Cheng Zhu, Jun Shan, Yuan Zhang, Quan Jiang, Yong-Bing Wang, Shu-Hao Deng, Qing-Hua Qu, Qing Li

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Yi-Cheng ZhuDepartment of Ultrasound, Pudong New Area Peoples' Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China (mainland).
Jun ShanDepartment of Ultrasound, Pudong New Area Peoples' Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China (mainland).
Yuan ZhangDepartment of Ultrasound, Pudong New Area Peoples' Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China (mainland).
Quan JiangDepartment of Ultrasound, Pudong New Area Peoples' Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China (mainland).
Yong-Bing WangDepartment of General Surgery, Pudong New Area Peoples' Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China (mainland).
Shu-Hao DengDepartment of Ultrasound, Pudong New Area Peoples' Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China (mainland).
Qing-Hua QuDepartment of Urology, Pudong New Area Peoples' Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China (mainland).
Qing LiDepartment of Pathology, Pudong New Area Peoples' Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China (mainland).
Pudong New Area People's Hospital · CNShanghai University of Medicine and Health Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 AND 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.

Indexed as

AgedAged, 80 and overBiopsy, Large-Core NeedleChinaHumansImage-Guided BiopsyMaleMicrovesselsMiddle AgedMultimodal ImagingNeoplasm GradingProspective StudiesProstateProstatic NeoplasmsUltrasonographyUltrasonography, Interventional

Identifiers

PMID31723116
PMCPMC6873636
OpenAlexW2987849399

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.