Evidence map›Paper›PMID 33458429›Full record

ArticlePhysics and imaging in radiation oncology2019

Cervical cancer apparent diffusion coefficient values during external beam radiotherapy.

Peter de Boer, Stefano Mandija, Anita M Werensteijn-Honingh, Cornelis A T van den Berg, Astrid A C de Leeuw, Ina M Jürgenliemk-Schulz

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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  8. Review
  9. Imaging science and development in modern high-precision radiotherapy.Physics and imaging in radiation oncology · 2019
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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.

Peter de BoerDepartment of Radiation Oncology, University Medical Centre Utrecht, The Netherlands.
Stefano MandijaCentre for Image Sciences, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands.
Anita M Werensteijn-HoninghDepartment of Radiation Oncology, University Medical Centre Utrecht, The Netherlands.
Cornelis A T van den BergCentre for Image Sciences, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands.
Astrid A C de LeeuwDepartment of Radiation Oncology, University Medical Centre Utrecht, The Netherlands.
Ina M Jürgenliemk-SchulzDepartment of Radiation Oncology, University Medical Centre Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeApparent diffusion coefficient (ADC) reflects micro-enviromental changes and therefore might be useful in predicting recurrence prior to brachytherapy. The purpose of this study is to evaluate change in ADC of the primary tumour and pathologic lymph nodes during treatment and to correlate this with clinical outcome. MATERIAL AND

methodsTwenty patients were included who received chemoradiation for locally advanced cervical cancer between July 2016 and November 2017. All patients underwent magnetic resonance imaging (MRI) prior to treatment, and three MRIs in weeks 1/2, 3 and 4 of treatment, including T2 and diffusion weighted imaging (

resultsAt time of analysis median follow-up was 15 (range 7-22) months. From MRI one to four, primary tumour on ADC-map showed a significant signal increase of 0.94 (range 0.74-1.46) × 10

conclusionsADC values can be acquired using T2-based tumour delineations unless there are substantial shifts between ADC-mapping and T2 acquisition. It remains plausible that ΔADC is a predictor for response to EBRT. However, the correlation in this study was not statistically significant.

Indexed as

ADC mapCervical cancerMRI

Identifiers

PMID33458429
PMCPMC7807732

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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.