Evidence map›Paper›PMID 36105290›Full record

ArticleFrontiers in physiology2022

Computer-aided diagnosis of prostate cancer based on deep neural networks from multi-parametric magnetic resonance imaging.

Zhenglin Yi, Zhenyu Ou, Jiao Hu, Dongxu Qiu, Chao Quan, Belaydi Othmane, Yongjie Wang, Longxiang Wu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in physiology, 2022. 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
1.7field-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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Frontiers in physiology · 2025
    Article
  3. Article
  4. PersonalisedFrontiers in physiology · 2024
    Article
  5. Article
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.

Zhenglin YiDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Zhenyu OuDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Jiao HuDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Dongxu QiuDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Chao QuanDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Belaydi OthmaneDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Yongjie WangDepartment of Burns and Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China.
Longxiang WuDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Xiangya Hospital Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

computer-aided diagnosis (CAD)deep neural networks (DNN)multi-parametric magnetic resonance imaging (MP-MRI)prostate cancer classificationprostate cancer localization

Identifiers

PMID36105290
PMCPMC9465082
OpenAlexW4293531038

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.