Evidence map›Paper›PMID 34277409›Full record

ArticleFrontiers in oncology2021

IVIM Parameters on MRI Could Predict ISUP Risk Groups of Prostate Cancers on Radical Prostatectomy.

Chun-Bi Chang, Yu-Chun Lin, Yon-Cheong Wong, Shin-Nan Lin, Chien-Yuan Lin, Yu-Han Lin, Ting-Wen Sheng, Chen-Chih Huang, Lan-Yan Yang, Li-Jen Wang

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Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Chun-Bi ChangDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Yu-Chun LinDepartment of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan.
Yon-Cheong WongDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Shin-Nan LinDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chien-Yuan LinDepartment of Clinical Science, General Electric (GE) Healthcare, Taipei, Taiwan.
Yu-Han LinDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Ting-Wen ShengDepartment of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan.
Chen-Chih HuangDepartment of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan.
Lan-Yan YangBiostatistics Unit of Clinical Trial Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Li-Jen WangDepartment of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo elucidate the usefulness of intravoxel incoherent motion (IVIM)/apparent diffusion coefficient (ADC) parameters in preoperative risk stratification using International Society of Urological Pathology (ISUP) grades. MATERIALS AND

methodsForty-five prostate cancer (PCa) patients undergoing radical prostatectomy (RP) after prostate multiparametric magnetic resonance imaging (mpMRI) were included. The ISUP grades were categorized into low-risk (I-II) and high-risk (III-V) groups, and the concordance between the preoperative and postoperative grades was analyzed. The largest region of interest (ROI) of the dominant tumor on each IVIM/ADC image was delineated to obtain its histogram values (i.e., minimum, mean, and kurtosis) of diffusivity (D), pseudodiffusivity (D*), perfusion fraction (PF), and ADC. Multivariable logistic regression analysis of the IVIM/ADC parameters without and with preoperative ISUP grades were performed to identify predictors for the postoperative high-risk group.

resultsThirty-two (71.1%) of 45 patients had concordant preoperative and postoperative ISUP grades. D

conclusionsThe postoperative ISUP risk group could be predicted by D

Indexed as

diffusivityISUP gradeIVIMkurtosisperfusion fractionprostate cancerpseudodiffusivity

Identifiers

PMID34277409
PMCPMC8282053

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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.