Evidence map›Paper›PMID 28779395›Full record

ArticleEuropean radiology2018

Multi-parametric MRI in cervical cancer: early prediction of response to concurrent chemoradiotherapy in combination with clinical prognostic factors.

Wei Yang, Jin Wei Qiang, Hai Ping Tian, Bing Chen, Ai Jun Wang, Jian Guo Zhao

Abstract read
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In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

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  8. Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023
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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.

Wei YangDepartment of Radiology, The General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, China.
Jin Wei QiangDepartment of Radiology, Jinshan Hospital, Fudan University, 1508 Longhang Road, Shanghai, 201508, China. dr.jinweiqiang@163.com.
Hai Ping TianDepartment of Pathology, The General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, China.
Bing ChenDepartment of Radiology, The General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, China.
Ai Jun WangDepartment of Radiology, The General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, China.
Jian Guo ZhaoDepartment of Radiology, The General Hospital of Ningxia Medical University, 804 Shengli Road, Yinchuan, 750004, China.
Ningxia Medical University · CNJinshan Hospital of Fudan University · CN

Funding

National Natural Science Foundation of China (CN) No.81471628Shanghai Municipal Commission of Health and Family Planning, China No.2013SY075 and No. ZK2015A05
6 · The paper itself

Abstract

objectiveTo investigate the prediction of response to concurrent chemoradiotherapy (CCRT) through a combination of pretreatment multi-parametric magnetic resonance imaging (MRI) with clinical prognostic factors (CPF) in cervical cancer patients.

methodsSixty-five patients underwent conventional MRI, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE-MRI) before CCRT. The patients were divided into non- and residual tumour groups according to post-treatment MRI. Pretreatment MRI parameters and CPF between the two groups were compared and prognostic factors, optimal thresholds, and predictive performance for post-treatment residual tumour occurrence were estimated.

resultsThe residual group showed a lower maximum slope of increase (MSI

conclusionsPretreatment MSI KEY POINTS: • Pretreatment MSI

Indexed as

Early DiagnosisAdultAgedChemoradiotherapyFemaleFollow-Up StudiesHumansMagnetic Resonance ImagingMiddle AgedPrognosisUterine Cervical NeoplasmsCervical cancerConcurrent chemoradiotherapyDiffusion-weighted imagingDynamic contrast-enhanced MR imagingMagnetic resonance imaging

Identifiers

PMID28779395
OpenAlexW2743829157

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.