Evidence map›Paper›PMID 33651125›Full record

ArticleAbdominal radiology (New York)2021

Evaluation of MR elastography for prediction of lymph node metastasis in prostate cancer.

Bing Hu, Ying Deng, Jingbiao Chen, Sichi Kuang, Wenjie Tang, Bingjun He, Linqi Zhang, Yuanqiang Xiao, Jun Chen, Phillip Rossman and 7 more

Open access · greenAbstract read
In one paragraph

Article in Abdominal radiology (New York), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 20 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

17 authors at 2 institutions in 2 countries.

Bing HuDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Ying DengDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Jingbiao ChenDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Sichi KuangDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Wenjie TangDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Bingjun HeDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Linqi ZhangDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Yuanqiang XiaoDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Jun ChenDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Phillip RossmanDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Arvin AraniDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Ziying YinDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Kevin J GlaserDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Meng YinDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Richard L EhmanDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Jin WangDepartment of Radiology, Third Affiliated Hospital, Sun Yat-Sen University (SYSU), No 600, Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China. Wangjin3@mail.sysu.edu.cn.ORCID 0000-0002-7956-9579
Mayo Clinic · USSun Yat-sen University · CN

Funding

Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

purposeTo assess the relationship between MRE stiffness of prostate cancer (PCa) and the extent of lymph node metastasis (LNM) in patients with PCa undergoing radical prostatectomy (RP) and extended pelvic lymph node dissection (ePLND). MATERIALS: The local institutional review board approved this retrospective study. We retrospectively analyzed 49 patients, who had undergone MRE, mpMRI and pelvic MRI on a 3.0 T MRI scanner, with histopathological confirmed PCa after RP (from June 2015 to December 2019). For each patient, preoperative clinical data and characteristics of MRE, mpMRI and pelvic MRI were recorded. Independent-samples t test, univariate and multivariate logistic regression analyses were performed. And receiver operating characteristic (ROC) analysis were performed to compare the diagnostic performances of multivariate models with the Briganti 2019 nomogram.

resultsPCa MRE stiffness and maximum diameter were independent predictors of LNM. When PCa MRE stiffness at 60 Hz (odds ratio [OR] = 20.223, P = 0.013) and maximum diameter (OR = 4.575, P = 0.046) were combined, the sensitivity and specificity were 100% and 91.9% to predict LNM. When PCa MRE stiffness at 90 Hz (OR = 7.920, P = 0.013) and maximum diameter (OR = 2.810, P = 0.045) were combined, the sensitivity and specificity were 100% and 86.5% to predict LNM. The areas under curves (AUCs) of the combinations were higher than the AUC of the Briganti 2019 nomogram (0.982 vs. 0.904, P = 0.040 [60 Hz]; 0.975 vs. 0.904, P = 0.060 [90 Hz], respectively).

conclusionsMRE-based assessment of PCa stiffness may be useful for predicting LNM of PCa preoperatively and noninvasively.

Indexed as

Elasticity Imaging TechniquesProstatic NeoplasmsHumansLymphatic MetastasisLymph Node ExcisionLymph NodesMagnetic Resonance ImagingMalePredictive Value of TestsProstatectomyRetrospective StudiesLymph node metastasisMagnetic resonance elastographyMultiparametric magnetic resonance imagingProstate cancer

Identifiers

PMID33651125
PMCPMC8517363
OpenAlexW3133769068

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.