Evidence map›Paper›PMID 33786654›Full record

ArticleEuropean radiology2021

Association between IVIM parameters and treatment response in locally advanced squamous cell cervical cancer treated by chemoradiotherapy.

Jose Angelo Udal Perucho, Mandi Wang, Varut Vardhanabhuti, Ka Yu Tse, Karen Kar Loen Chan, Elaine Yuen Phin Lee

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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  8. Histogram analysis of multiple diffusion models for predicting advanced non-small cell lung cancer response to chemoimmunotherapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
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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 1 institution in 2 countries.

Jose Angelo Udal PeruchoDepartment of Diagnostic Radiology, Queen Mary Hospital, The University of Hong Kong, Room 406, Block K, Queen Mary Hospital, Pok Fu Lam Road, Hong Kong, People's Republic of China.ORCID https://orcid.org/0000-0001-6088-3173
Mandi WangDepartment of Diagnostic Radiology, Queen Mary Hospital, The University of Hong Kong, Room 406, Block K, Queen Mary Hospital, Pok Fu Lam Road, Hong Kong, People's Republic of China.ORCID https://orcid.org/0000-0002-8467-148X
Varut VardhanabhutiDepartment of Diagnostic Radiology, Queen Mary Hospital, The University of Hong Kong, Room 406, Block K, Queen Mary Hospital, Pok Fu Lam Road, Hong Kong, People's Republic of China.ORCID https://orcid.org/0000-0001-6677-3194
Ka Yu TseDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, The University of Hong Kong, Hong Kong, People's Republic of China.ORCID https://orcid.org/0000-0001-8330-0970
Karen Kar Loen ChanDepartment of Obstetrics and Gynaecology, Queen Mary Hospital, The University of Hong Kong, Hong Kong, People's Republic of China.ORCID https://orcid.org/0000-0002-4034-7469
Elaine Yuen Phin LeeDepartment of Diagnostic Radiology, Queen Mary Hospital, The University of Hong Kong, Room 406, Block K, Queen Mary Hospital, Pok Fu Lam Road, Hong Kong, People's Republic of China. eyplee77@hku.hk.ORCID http://orcid.org/0000-0002-0627-5297
Queen Mary Hospital · CN

Funding

Research Grants Council, University Grants Committee GRF, No. 17119916
6 · The paper itself

Abstract

objectiveTo examine the associations of intravoxel incoherent motion (IVIM) parameters with treatment response in cervical cancer following concurrent chemoradiotherapy (CCRT). MATERIALS AND

methodsForty-five patients, median age of 58 years (range: 28-82), with pre-CCRT and post-CCRT MRI, were retrospectively analysed. The IVIM parameters pure diffusion coefficient (D) and perfusion fraction (f) were estimated using the full b-value distribution (BVD) as well as an optimised subsample BVD. Dice similarity coefficient (DSC) and intraclass correlation coefficient (ICC) were used to measure observer repeatability in tumour delineation at both time points. Treatment response was determined by the response evaluation criteria in solid tumour (RECIST) 1.1 between MRI examinations. Mann-Whitney U tests were used to test for significant differences in IVIM parameters between treatment response groups.

resultsPre-CCRT tumour delineation repeatability was good (DSC = 0.81) while post-CCRT delineation repeatability was moderate (DSC = 0.67). Values of D and f had good repeatability at both time points (ICC > 0.80). Pre-CCRT f estimated using the full BVD and optimised subsample BVD were found to be significantly higher in patients with partial response compared to those with stable disease or disease progression (p = 0.01 and 95% CI = -0.02-0.00 for both cases).

conclusionPre-CCRT f was associated with treatment response in cervical cancer with good observer repeatability. Similar discriminative ability was also observed in estimated pre-CCRT f from an optimised subsample BVD. KEY POINTS: • Pre-treatment tumour delineation and IVIM parameters had good observer repeatability. • Post-treatment tumour delineation was worse than at pre-treatment, but IVIM parameters retained good ICC. • Pre-treatment perfusion fraction estimated from all b-values and an optimised subsample of b-values were associated with treatment response.

Indexed as

Uterine Cervical NeoplasmsAdultAgedAged, 80 and overChemoradiotherapyDiffusion Magnetic Resonance ImagingEpithelial CellsFemaleHumansMiddle AgedMotionRetrospective StudiesChemoradiotherapyDiffusion magnetic resonance imagingMagnetic resonance imagingObserver variationUterine cervical neoplasms

Identifiers

PMID33786654
OpenAlexW3145122779

What OpenQuestion holds

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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.