Evidence map›Paper›PMID 32895139›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2020

[Radiomics models based on non-enhanced MRI can differentiate chondrosarcoma from enchondroma].

Jielin Pan, Yunping Jiang, Yingying Zhan, Panli Zuo, Yijie Fang, Shaolin Li, Guobin Hong

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Jielin PanDepartment of Radiology, Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai 519000, China.
Yunping JiangDepartment of Radiology, Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai 519000, China.
Yingying ZhanDepartment of Radiology, Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai 519000, China.
Panli ZuoHuiying Medical Technology Co., Ltd, Beijing 100000, China.
Yijie FangDepartment of Radiology, Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai 519000, China.
Shaolin LiDepartment of Radiology, Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai 519000, China.
Guobin HongDepartment of Radiology, Fifth Affiliated Hospital, Sun Yat-Sen University, Zhuhai 519000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate radiomics models based on non-enhanced magnetic resonance (MR) imaging for differentiating chondrosarcoma from enchondroma.

methodsWe retrospectively evaluated a total of 68 patients (including 27 with chondrosarcoma and 41 with enchondroma), who were randomly divided into training group (

resultsThe ICC value for interreader agreement of the radiomics features ranged from 0.779 to 0.923, which indicated good agreement. Ten and 11 features were selected from the T

conclusionsThe radiomics models based on T

Indexed as

ChondromaChondrosarcomaHumansMagnetic Resonance ImagingRetrospective StudiesROC Curvechondrosarcomadifferential diagnosisenchondromamagnetic resonance imagingradiomics

Identifiers

PMID32895139
PMCPMC7225098

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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.