Evidence map›Paper›PMID 32143736›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2020

Combinative evaluation of primary tumor and lymph nodes to predict pelvic lymphatic metastasis in cervical cancer: an integrated PET-IVIM MRI study.

Chen Xu, Xiaoran Li, Yanchi Shi, Bo Wang, Hongzan Sun

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Frontiers in oncology · 2024
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  6. Review
  7. Feasibility of TEuropean radiology · 2021
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  8. Review
  9. Diagnostic efficiency of whole-bodyCancer imaging : the official publication of the International Cancer Imaging Society · 2021
    Article
  10. 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

5 authors at 1 institution in 1 country.

Chen XuDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No36, Heping District, Shenyang, Liaoning, PR China, 110004.
Xiaoran LiDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No36, Heping District, Shenyang, Liaoning, PR China, 110004.
Yanchi ShiDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No36, Heping District, Shenyang, Liaoning, PR China, 110004.
Bo WangDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No36, Heping District, Shenyang, Liaoning, PR China, 110004.
Hongzan SunDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No36, Heping District, Shenyang, Liaoning, PR China, 110004. sunhongzan@126.com.
China Medical University · CN

Funding

LIAONING Science Natural Science Foundation 2019-MS-373LIAONING Science & Technology Project 2017225012National Natural Science Foundation of China 81401438
6 · The paper itself

Abstract

backgroundThe aim of this study was to evaluate the value of combining pelvic lymph node and tumor characteristics on positron emission tomography-intravoxel incoherent motion magnetic resonance (PET-IVIM MR) imaging for predicting lymph node metastasis in patients with cervical cancer, especially in those with negative lymph nodes on PET.

methodsThe medical records of 95 patients with cervical cancer who underwent surgical resection with pelvic lymph node dissection were evaluated. The patients were divided into negative and positive groups according to postoperative pathologic lymph node diagnosis, and comparisons of the PET and IVIM-derived parameters between the two groups were performed. Univariate and multivariate analyses were performed to construct a predictive model of lymph node metastasis.

resultsFor all patients, tumor SUV

conclusionsThe combination of tumorTLG, D

Indexed as

AdultAgedFemaleHumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMiddle AgedPelvisPositron-Emission TomographyRetrospective StudiesUterine Cervical NeoplasmsCervical cancerDiffusion magnetic resonance imagingLymph nodePositron-emission tomography

Identifiers

PMID32143736
PMCPMC7060657
OpenAlexW3010962286

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.