Evidence map›Paper›PMID 32103352›Full record

ArticleJournal of medical systems2020

Quantitative Analysis of DCE-MRI and RESOLVE-DWI for Differentiating Nasopharyngeal Carcinoma from Nasopharyngeal Lymphoid Hyperplasia.

J Y Yu, D Zhang, X L Huang, J Ma, C Yang, X J Li, H Xiong, B Zhou, R K Liao, Z Y Tang

Abstract read
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In one paragraph

Article in Journal of medical systems, 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
1.7field-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

10 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

10 authors at 1 institution in 1 country.

J Y YuDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
D ZhangDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
X L HuangDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
J MaDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
C YangDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
X J LiDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
H XiongDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
B ZhouDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
R K LiaoDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China.
Z Y TangDepartment of Radiology, Chongqing General Hospital, University of Chinese Academy of Sciences, No.104 Pipashan Rd, Yuzhong District, Chongqing, 400014, China. zhuoyue_tang@ucas.ac.cn.
University of Chinese Academy of Sciences · CN

Funding

the Basic and Frontier Research Project of Chongqing, China cstc2016jcyjA0294the medical research Key Program of the conbination of Chongqing National health commission and Chongqing science and technology bureau, China 2019ZDXM010the Medical Research Key Program of the National Health and Family Planning Commission of Chongqing, China 20141016the Medical Research Key Program of the National Health and Family Planning Commission of Chongqing, China 2016ZDXM026the Scientific and Technological Innovation Key Program of Chongqing General Hospital, China 2016ZDXM03
6 · The paper itself

Abstract

To explore the ability of quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) analysis and readout segmentation of long variable echo-trains diffusion weighted imaging (RESOLVE-DWI) to distinguish nasopharyngeal carcinoma (NPC) from nasopharyngeal lymphoid hyperplasia (NPLH). Twenty-five patients with NPC and 30 patients with NPLH were evaluated. Three quantitative DCE-MRI parameters (Ktrans, Kep and Ve) and the apparent diffusion coeffcient (ADC) of lesions were calculated. The two independent samples t test or Mann-Whitney U test was used to compare the parameters between NPC and NPLH group. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic ability for distinguishing NPC from NPLH. A P value less than 0.05 was considered statistically significant. The difference in Ktrans value between the NPC group and the NPLH group was statistically significant, and the value of the NPC group was larger than that of the NPLH group. There was no statistical difference in Kep and Ve between the two groups. The ADC value of NPC group was smaller than that of NPLH group, and the difference was statistically significant. ROC curve analysis showed that both Ktrans and ADC were effective in diagnosing NPC and the area under the curve (AUC) was 0.773 and 0.704, respectively. In addition, the combination of Ktrans and ADC demonstrated the obviously improved AUC of 0.884. DCE-MRI and RESOLVE-DWI are effective in differentiating NPC from NPLH, especially the combination of the two models.

Indexed as

AdultAgedContrast MediaDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansHyperplasiaImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsProspective StudiesROC CurveContrast MediaDCE-MRI; RESOLVE-DWINasopharyngeal carcinomaNasopharyngeal lymphoid hyperplasia

Identifiers

PMID32103352
OpenAlexW3007457063

What OpenQuestion holds

Textmetadata
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.