Evidence map›Paper›PMID 34730049›Full record

ArticleThe neuroradiology journal2022

Utility of diffusion-weighted magnetic resonance imaging in predicting the treatment response of nasopharyngeal carcinoma.

Thidaporn Tangyoosuk, Chawalit Lertbutsayanukul, Nutchawan Jittapiromsak

Open access · greenAbstract read
In one paragraph

Article in The neuroradiology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 8 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

3 authors at 1 institution in 1 country.

Thidaporn TangyoosukDepartment of Radiology, Faculty of Medicine, Division of Diagnostic Radiology, 26683Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Chawalit LertbutsayanukulDepartment of Radiology, Faculty of Medicine, Division of Radiation Oncology, 26683Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Nutchawan JittapiromsakDepartment of Radiology, Faculty of Medicine, Division of Diagnostic Radiology, 26683Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-0861-2162
Chulalongkorn University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePredicting the treatment response in patients with nasopharyngeal carcinoma (NPC) is challenging. This study evaluated the utility of diffusion-weighted imaging (DWI) in predicting the treatment response in patients with NPC.

methodsWe prospectively enrolled 33 patients with newly diagnosed NPC who underwent magnetic resonance imaging with the propeller DWI and apparent diffusion coefficient (ADC) map before and at 5 weeks after chemoradiation. The following ADC values of the primary tumor were calculated: pre-treatment ADC (pre-ADC), pre-treatment ADC ratio (pre-ADC ratio), ADC change (▵ADC), ADC change ratio (▵ADC ratio), and percentage of ADC change (▵%ADC). The correlations between these parameters and treatment outcomes were explored, and the patients were classified as good responders (complete response) and poor responders (stable disease, partial response, or progressive disease) based on the Response Evaluation Criteria in Solid Tumors, version 1.1.

resultsThe ▵ADC, ▵ADC ratio, and ▵%ADC were significantly lower in the poor-responder group (

conclusionThe ▵ADC, ▵ADC ratio, and ▵%ADC obtained during the pre-treatment and mid-treatment periods could be potential biomarkers for predicting treatment response in patients with NPC.

Indexed as

Nasopharyngeal NeoplasmsChemoradiotherapyDiffusion Magnetic Resonance ImagingHumansNasopharyngeal CarcinomaTreatment Outcomeapparent diffusion coefficientapparent diffusion coefficient changediffusion-weighted imagingNasopharyngeal carcinomatreatment response

Identifiers

PMID34730049
PMCPMC9437492
OpenAlexW3208918682

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.