Evidence map›Paper›PMID 30367176›Full record

ArticleScientific reports2018

In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI.

Wei-Yuan Huang, Meng-Meng Li, Shao-Min Lin, Feng Chen, Kai Yang, Xiao-Lei Zhu, Gang Wu, Jian-Jun Li

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.3field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

8 authors at 2 institutions in 2 countries.

Wei-Yuan HuangDepartment of Radiology, Hainan General Hospital, Hainan, China.
Meng-Meng LiResearch and Education Department, Hainan General Hospital, Hainan, China.
Shao-Min LinDepartment of Radiotherapy, Hainan General Hospital, Hainan, China.
Feng ChenDepartment of Radiology, Hainan General Hospital, Hainan, China.
Kai YangDepartment of Radiology, Hainan General Hospital, Hainan, China.
Xiao-Lei ZhuSiemens Healthcare, MR Scientific Marketing NE Asia, Beijing, China.
Gang WuDepartment of Radiotherapy, Hainan General Hospital, Hainan, China. 276393153@qq.com.
Jian-Jun LiDepartment of Radiology, Hainan General Hospital, Hainan, China. lijianjunhngh@163.com.
Hainan General Hospital · CNSiemens Healthcare (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this prospective study, we compared the performance of readout segmentation of long variable echo trains of diffusion-weighted imaging (RESOLVE DWI) and diffusion kurtosis imaging (DKI) for the prediction of radiotherapy response in patients with nasopharyngeal carcinoma (NPC). Forty-one patients with NPC were evaluated. All patients underwent conventional MRI, RESOLVE DWI and DKI, before and after radiotherapy. All patients underwent conventional MRI every 3 months until 1 year after radiotherapy. The patients were divided into response group (RG; 36/41 patients) and no-response group (NRG; 5/41 patients) based on follow-up results. DKI (the mean of kurtosis coefficient, Kmean and the mean of diffusion coefficient, Dmean) and RESOLVE DWI (the minimum apparent diffusion coefficient, ADC

Indexed as

AdultAgedArea Under CurveBiomarkersDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNasopharyngeal CarcinomaNasopharyngeal NeoplasmsROC CurveTreatment OutcomeYoung AdultBiomarkers

Identifiers

PMID30367176
PMCPMC6203813
OpenAlexW2897642775

What OpenQuestion holds

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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.