Evidence map›Paper›PMID 28079398›Full record

ArticleThe British journal of radiology2017

Feasibility evaluation of diffusion-weighted imaging using an integrated MRI-radiotherapy system for response assessment to neoadjuvant therapy in rectal cancer.

Narek Shaverdian, Yingli Yang, Peng Hu, Steven Hart, Ke Sheng, James Lamb, Minsong Cao, Nzhde Agazaryan, David Thomas, Michael Steinberg and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The British journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 54 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

12 authors at 1 institution in 1 country.

Narek Shaverdian1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
Yingli Yang1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
Peng Hu2 Department of Radiological Sciences, University of California, Los Angeles, CA, USA.
Steven Hart3 Department of Pathology and Laboratory Medicine, University of California, Los Angeles, CA, USA.
Ke Sheng1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
James Lamb1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
Minsong Cao1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
Nzhde Agazaryan1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
David Thomas1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
Michael Steinberg1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
Daniel A Low1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
Percy Lee1 Department of Radiation Oncology, University of California, Los Angeles, CA, USA.
University of California, Los Angeles · US

Funding

Motion Management of Pancreatic Cancer in MRI-Guided RadiotherapyR01CA188300 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHENG, KE · 2015 to 2019
$1.7M
NCI NIH HHS R01 CA188300
6 · The paper itself

Abstract

objectiveTo evaluate the feasibility of on-board diffusion-weighted imaging (DWI) with an integrated low-field MRI radiotherapy system to assess responses to neoadjuvant chemoradiation (NAC) in rectal cancer.

methodsA spin echo-based planar imaging diffusion sequence on a 0.35-T MRI radiotherapy system was acquired over the course of NAC. The apparent diffusion coefficients (ADCs) from the tumour regions of interest (ROIs) were calculated. A functional diffusion map (fDM) was created showing a pixelwise ADC analysis of the ROI over the course of treatment. Surgical pathology was correlated with ADC data.

resultsConsecutive patients treated on a 0.35-T MRI radiotherapy system were evaluated. Patient A had the worst pathological response to NAC with a tumour regression score of 1 and was the only patient with a negative slope in the change of ADC values over the entire course of NAC, and during both the first and second half of NAC. The fDM from the first half of NAC for Patient A showed discrete dark areas in the tumour ROI, reflecting subregions with decreasing ADC values during NAC. Patient C had the most favourable pathological response to NAC with a Grade 3 response and was the only patient who had an increase in the slope in the change of ADC values from the first to the second half of NAC.

conclusionDWI using a low-field MRI radiotherapy system for evaluating the responses to NAC is feasible. Advances in knowledge: ADC values obtained using a 0.35-T MRI radiotherapy system over the course of NAC for rectal cancer correlate with pathological responses.

Indexed as

Diffusion Magnetic Resonance ImagingEcho-Planar ImagingFeasibility StudiesHumansMagnetic Resonance Imaging, InterventionalNeoadjuvant TherapyRectal NeoplasmsRectumTreatment Outcome

Identifiers

PMID28079398
PMCPMC5601527
OpenAlexW2575630298

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.