Evidence map›Paper›PMID 28647399›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2017

Quantitative imaging outperforms molecular markers when predicting response to chemoradiotherapy for rectal cancer.

Ines Joye, Annelies Debucquoy, Christophe M Deroose, Vincent Vandecaveye, Eric Van Cutsem, Albert Wolthuis, André D'Hoore, Xavier Sagaert, Mu Zhou, Olivier Gevaert and 1 more

Abstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Value of PET imaging for radiation therapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Predicting the tumor response to chemoradiotherapy for rectal cancer: Model development and external validation using MRI radiomics.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. 'Watch and wait' in rectal cancer: summary of the current evidence.International journal of colorectal disease · 2018
    Review
  20. Development and validation of an MRI-based model to predict response to chemoradiotherapy for rectal cancer.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2018
    Article
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

11 authors.

Ines JoyeKU Leuven - University of Leuven, Department of Oncology, B-3000 Leuven, Belgium; University Hospitals Leuven, Radiation Oncology, B-3000 Leuven, Belgium. Electronic address: joyeines@gmail.com.
Annelies DebucquoyKU Leuven - University of Leuven, Department of Oncology, B-3000 Leuven, Belgium.
Christophe M DerooseUniversity Hospitals Leuven, Nuclear Medicine, B-3000 Leuven, Belgium.
Vincent VandecaveyeUniversity Hospitals Leuven, Radiology, B-3000 Leuven, Belgium.
Eric Van CutsemUniversity Hospitals Leuven, Digestive Oncology, B-3000 Leuven, Belgium.
Albert WolthuisUniversity Hospitals Leuven, Abdominal Surgery, B-3000 Leuven, Belgium.
André D'HooreUniversity Hospitals Leuven, Abdominal Surgery, B-3000 Leuven, Belgium.
Xavier SagaertUniversity Hospitals Leuven, Pathology, B-3000 Leuven, Belgium.
Mu ZhouStanford University, The Stanford Center for Biomedical Informatics Research, Medicine, Stanford, United States.
Olivier GevaertStanford University, The Stanford Center for Biomedical Informatics Research, Medicine, Stanford, United States.
Karin HaustermansKU Leuven - University of Leuven, Department of Oncology, B-3000 Leuven, Belgium; University Hospitals Leuven, Radiation Oncology, B-3000 Leuven, Belgium.

Funding

Radiogenomics Framework for Non-Invasive Personalized MedicineR01EB020527 · NIBIB · STANFORD UNIVERSITY · PI GEVAERT, OLIVIER · 2015 to 2018
$2.3M
NIBIB NIH HHS R01 EB020527
6 · The paper itself

Abstract

background and purposeTo explore the integration of imaging and molecular data for response prediction to chemoradiotherapy (CRT) for rectal cancer. MATERIAL AND

methodsEighty-five rectal cancer patients underwent preoperative CRT.

resultsTwenty-two patients (26%) achieved ypT0-1N0 response.

conclusionsCombining

Indexed as

AgedBiomarkers, TumorChemoradiotherapyDiffusion Magnetic Resonance ImagingFemaleFluorodeoxyglucose F18HumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm StagingPositron Emission Tomography Computed TomographyRectal NeoplasmsTreatment OutcomeBiomarkers, TumorFluorodeoxyglucose F18ChemoradiotherapyImagingMolecular markersRectal cancerResponse prediction

Identifiers

PMID28647399
PMCPMC5641595

What OpenQuestion holds

Textmetadata
LicenceTDM
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.