Evidence map›Paper›PMID 35280821›Full record

ArticleFrontiers in oncology2022

A Multi-Parametric Radiomics Nomogram for Preoperative Prediction of Microvascular Invasion Status in Intrahepatic Cholangiocarcinoma.

Xianling Qian, Xin Lu, Xijuan Ma, Ying Zhang, Changwu Zhou, Fang Wang, Yibing Shi, Mengsu Zeng

Open access · goldAbstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Quantitative imaging in medicine and surgery · 2022
    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 6 institutions in 1 country.

Xianling QianDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xin LuDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xijuan MaDepartment of Radiology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Ying ZhangDepartment of Radiology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Changwu ZhouDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fang WangDepartment of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
Yibing ShiDepartment of Radiology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China.
Mengsu ZengDepartment of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
The First Affiliated Hospital, Sun Yat-sen University · CNXuzhou Central Hospital · CNFudan University · CNShanghai Institute of Hematology · CNUnited Imaging Healthcare (China) · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intrahepatic cholangiocarcinoma (ICC) is the second most common primary liver cancer with increasing incidence in the last decades. Microvascular invasion (MVI) is a poor prognostic factor for patients with ICC, which correlates early recurrence and poor prognosis, and it can affect the selection of personalized therapeutic regime. Purpose: This study aimed to develop and validate a radiomics-based nomogram for predicting MVI in ICC patients preoperatively. Methods: A total of 163 pathologically confirmed ICC patients (training cohort: Results: Larger tumor size ( Conclusion: The nomogram incorporating tumor size, intrahepatic duct dilatation, and the final radiomics model is a potential biomarker for preoperative prediction of the MVI status in ICC patients.

Indexed as

intrahepatic cholangiocarcinomamagnetic resonance imagingmicrovascular invasionnomogramprognosisradiomics

Identifiers

PMID35280821
PMCPMC8907475
OpenAlexW4213444596

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.