Evidence map›Paper›PMID 33738805›Full record

ArticleMedical physics2021

A 3D cine-MRI acquisition technique and image analysis framework to quantify bowel motion demonstrated in gynecological cancer patients.

Danique L J Barten, Janna J Laan, Koen J Nelissen, Jorrit Visser, Henrike Westerveld, Arjan Bel, Catharina S de Jonge, Jaap Stoker, Zdenko van Kesteren

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 7 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

9 authors at 2 institutions in 1 country.

Danique L J BartenDepartment of Radiation Oncology, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Janna J LaanDepartment of Radiation Oncology, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Koen J NelissenDepartment of Radiation Oncology, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, 1081 HV, The Netherlands.
Jorrit VisserDepartment of Radiation Oncology, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Henrike WesterveldDepartment of Radiation Oncology, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Arjan BelDepartment of Radiation Oncology, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Catharina S de JongeDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Jaap StokerDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Zdenko van KesterenDepartment of Radiation Oncology, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Amsterdam University Medical Centers · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMagnetic resonance imaging (MRI) is increasingly used in radiation oncology for target delineation and radiotherapy treatment planning, for example, in patients with gynecological cancers. As a consequence of pelvic radiotherapy, a part of the bowel is irradiated, yielding risk of bowel toxicity. Existing dose-effect models predicting bowel toxicity are inconclusive and bowel motion might be an important confounding factor. The exact motion of the bowel and dosimetric effects of its motion are yet uncharted territories in radiotherapy. In diagnostic radiology methods on the acquisition of dynamic MRI sequences were developed for bowel motility visualization and quantification. Our study aim was to develop an imaging technique based on three-dimensional (3D) cine-MRI to visualize and quantify bowel motion and demonstrate it in a cohort of gynecological cancer patients.

methodsWe developed an MRI acquisition suitable for 3D bowel motion quantification, namely a balanced turbo field echo sequence (TE = 1.39 ms, TR = 2.8 ms), acquiring images in 3.7 s (dynamic) with a 1.25 × 1.25 × 2.5 mm

resultsThe motion maps resulted in a visualization of areas with small and large movements within the bowel bag. After applying quality assurance, the M10%, M50%, and M90% were 4.4 (range 2.2-7.6) mm, 2.2 (range 0.9-4.1) mm, and 0.5 (range 0.2-1.4) mm per frame, on average over all patients, respectively.

conclusionWe have developed a method to visualize and quantify 3D bowel motion with the use of bowel motion specific MRI sequences in 22 gynecological cancer patients. This 3D cine-MRI-based quantification tool and the concept of MVHs can be used in further studies to determine the effect of radiotherapy on bowel motion and to find the relation with dose effects to the small bowel. In addition, the developed technique can be a very interesting application for bowel motility assessment in diagnostic radiology.

Indexed as

NeoplasmsRespirationHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance Imaging, Cine3D cine-MRIbowel motion quantificationbowel motion visualizationdeformable image registrationmotion-volume histogram

Identifiers

PMID33738805
PMCPMC8360025
OpenAlexW3138380668

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Registered trials

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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.