Evidence map›Paper›PMID 32040728›Full record

ArticleEuropean radiology2020

Value of integrated PET-IVIM MR in assessing metastases in hypermetabolic pelvic lymph nodes in cervical cancer: a multi-parameter study.

Chen Xu, Siyao Du, Siyu Zhang, Bo Wang, Chengyan Dong, Hongzan Sun

Abstract read
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In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Chen XuDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No 36, Heping District, Shenyang, 110004, Liaoning, China.
Siyao DuDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No 36, Heping District, Shenyang, 110004, Liaoning, China.
Siyu ZhangDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No 36, Heping District, Shenyang, 110004, Liaoning, China.
Bo WangDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No 36, Heping District, Shenyang, 110004, Liaoning, China.
Chengyan DongGE Healthcare China, Beijing, 100176, China.
Hongzan SunDepartment of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No 36, Heping District, Shenyang, 110004, Liaoning, China. sunhongzan@126.com.ORCID http://orcid.org/0000-0002-4724-5828
China Medical University · CNLiaoning Provincial People's Hospital · CN

Funding

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

Abstract

purposeTo evaluate the value of integrated multi-parameter positron emission tomography-intravoxel incoherent motion magnetic resonance (PET-IVIM MR) imaging for pelvic lymph nodes with high FDG uptake in cervical cancer, and to determine the best combination of parameters.

methodsA total of 38 patients with 59 lymph nodes with high FDG uptake were included. The imaging parameters of the lymph nodes were calculated by PET-IVIM MR, and the differences between lymph nodes diagnosed by postoperative pathology as metastasis versus non-metastasis were compared. We used the receiver operating characteristic (ROC) curve and logistic regression to construct a combination prediction model to filter low value and similar parameters, in order to search the optimal combination of PET/MR parameters for predicting pathologically confirmed metastatic lymph nodes. The correlation between diffusion parameters and metabolic parameters was analyzed by Spearman's rank correlation.

resultsThe maximum standardized uptake value (SUV

conclusionsThe combination of MTV, SUV KEY POINTS: • Integrated PET-IVIM MR may assist to characterize lymph node status. • The combination of MTV, SUV

Indexed as

Diffusion Magnetic Resonance ImagingFemaleHumansLymph NodesMiddle AgedPelvisPositron-Emission TomographyRetrospective StudiesROC CurveTumor BurdenUterine Cervical NeoplasmsCervical cancerDiffusion magnetic resonance imagingLymph nodePositron emission tomography

Identifiers

PMID32040728
OpenAlexW3006198861

What OpenQuestion holds

Textmetadata
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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.