Evidence map›Paper›PMID 36968215›Full record

ArticleFrontiers in oncology2022

Extramural vascular invasion nomogram before radical resection of rectal cancer based on magnetic resonance imaging.

Lianfen Tian, Ningqin Li, Dong Xie, Qiang Li, Chuanji Zhou, Shilai Zhang, Lijuan Liu, Caiyun Huang, Lu Liu, Shaolu Lai and 1 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Shifting cold to hot tumors by nanoparticle-loaded drugs and products.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  8. Review
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

11 authors at 1 institution in 1 country.

Lianfen TianDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Ningqin LiDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Dong XieDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Qiang LiDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Chuanji ZhouDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Shilai ZhangDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Lijuan LiuDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Caiyun HuangDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Lu LiuDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Shaolu LaiDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Zheng WangDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study verified the value of magnetic resonance imaging (MRI) to construct a nomogram to preoperatively predict extramural vascular invasion (EMVI) in rectal cancer using MRI characteristics. Materials and methods: There were 55 rectal cancer patients with EMVI and 49 without EMVI in the internal training group. The external validation group consisted of 54 rectal cancer patients with EMVI and 55 without EMVI. High-resolution rectal T2WI, pelvic diffusion-weighted imaging (DWI) sequences, and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) were used. We collected the following data: distance between the lower tumor margin and the anal margin, distance between the lower tumor margin and the anorectal ring, tumor proportion of intestinal wall, mrT stage, maximum tumor diameter, circumferential resection margin, superior rectal vein width, apparent diffusion coefficient (ADC), T2WI EMVI score, DWI and DCE-MRI EMVI scores, demographic information, and preoperative serum tumor marker data. Logistic regression analyses were used to identify independent risk factors of EMVI. A nomogram prediction model was constructed. Receiver operating characteristic curve analysis verified the predictive ability of the nomogram. Result: Tumor proportion of intestinal wall, superior rectal vein width, T2WI EMVI score, and carbohydrate antigen 19-9 were significant independent predictors of EMVI in rectal cancer and were used to create the model. The areas under the receiver operating characteristic curve, sensitivities, and specificities of the nomogram were 0.746, 65.45%, and 83.67% for the internal training group, respectively, and 0.780, 77.1%, and 71.3% for the external validation group, respectively. Data conclusion: A nomogram including MRI characteristics can predict EMVI in rectal cancer preoperatively and provides a valuable reference to formulate individualized treatment plans and predict prognosis.

Indexed as

extramural vascular invasionmagnetic resonance imagingnomogramrectal cancertumor markers

Identifiers

PMID36968215
PMCPMC10034136
OpenAlexW4323667975

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LicenceCC BY
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Read underepoch 390

Registered trials

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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.