Evidence map›Paper›PMID 37614530›Full record

ArticleFrontiers in radiology2023

Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors.

Yan Yang, Huanhuan Wei, Fangfang Fu, Wei Wei, Yaping Wu, Yan Bai, Qing Li, Meiyun Wang

Abstract read
In one paragraph

Article in Frontiers in radiology, 2023. 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
–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

13 citing papers in PubMed.

  1. Preoperative [European radiology · 2026
    Article
  2. Abdominal radiology (New York) · 2026
    Article
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  11. Scientific reports · 2024
    Article
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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.

Yan Yang *Department of Medical Imaging, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
Huanhuan Wei *Department of Medical Imaging, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
Fangfang FuHenan Key Laboratory of Neurological Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Wei WeiHenan Key Laboratory of Neurological Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Yaping WuHenan Key Laboratory of Neurological Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Yan BaiHenan Key Laboratory of Neurological Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
Qing LiDepartment of Medical Imaging, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, China.
Meiyun WangHenan Key Laboratory of Neurological Imaging, Henan Provincial People's Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to investigate the value of a clinical radiomics model based on Positron emission tomography-computed tomography (PET-CT) radiomics features combined with clinical predictors of Lymphovascular invasion (LVI) in predicting preoperative LVI in patients with colorectal cancer (CRC). Methods: A total of 95 CRC patients who underwent preoperative Results: Mean standardized uptake value (SUVmean), maximum tumour diameter and lymph node metastasis were independent predictors of LVI in CRC patients ( Conclusion: The clinical radiomics prediction model constructed in this study has high value in the preoperative individualized prediction of LVI in CRC patients.

Indexed as

colorectal cancerlymphovascular invasionPET-CTpreoperative predictionradiomics

Identifiers

PMID37614530
PMCPMC10442652

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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.