Evidence map›Paper›PMID 25831053›Full record

ArticlePloS one2015

Multimodality imaging to predict response to systemic treatment in patients with advanced colorectal cancer.

Linda Heijmen, Edwin E G W ter Voert, Wim J G Oyen, Cornelis J A Punt, Dick Johan van Spronsen, Arend Heerschap, Lioe-Fee de Geus-Oei, Hanneke W M van Laarhoven

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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  5. The Value ofDiagnostics (Basel, Switzerland) · 2022
    Review
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  8. Article
  9. Article
  10. Evaluation ofFrontiers in oncology · 2021
    Article
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  17. Article
  18. Functional MR Imaging Techniques in Oncology in the Era of Personalized Medicine.Magnetic resonance imaging clinics of North America · 2016
    Review
  19. Multiparametric MR Imaging in Abdominal Malignancies.Magnetic resonance imaging clinics of North America · 2016
    Review
  20. 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

8 authors.

Linda HeijmenDepartment of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Edwin E G W ter VoertDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Wim J G OyenDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Cornelis J A PuntDepartment of Medical Oncology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Dick Johan van SpronsenDepartment of Medical Oncology, Canisius Wilhelmina Hospital, Nijmegen, the Netherlands.
Arend HeerschapDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Lioe-Fee de Geus-OeiDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
Hanneke W M van LaarhovenDepartment of Medical Oncology, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Medical Oncology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAim of this study was to investigate the potential of 18F-FDG PET, diffusion weighted imaging (DWI) and susceptibility-weighted (T2*) MRI to predict response to systemic treatment in patients with colorectal liver metastases. The predictive values of pretreatment measurements and of early changes one week after start of therapy, were evaluated.

methodsImaging was performed prior to and one week after start of first line chemotherapy in 39 patients with colorectal liver metastases. 18F-FDG PET scans were performed on a PET/CT scanner and DWI and T2* were performed on a 1.5T MR scanner. The maximum standardized uptake values (SUV), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC) and T2* value were assessed in the same lesions. Up to 5 liver metastases per patient were analyzed. Outcome measures were progression free survival (PFS), overall survival (OS) and size response.

resultsPretreatment, high SUVmax, high TLG, low ADC and high T2* were associated with a shorter OS. Low pretreatment ADC value was associated with shorter PFS. After 1 week a significant drop in SUVmax and rise in ADC were observed. The drop in SUV was correlated with the rise in ADC (r=-0.58, p=0.002). Neither change in ADC nor in SUV was predictive of PFS or OS. T2* did not significantly change after start of treatment.

conclusionPretreatment SUVmax, TLG, ADC, and T2* values in colorectal liver metastases are predictive of patient outcome. Despite sensitivity of DWI and 18F-FDG PET for early treatment effects, change in these parameters was not predictive of long term outcome.

Indexed as

Multimodal ImagingAdultAgedColorectal NeoplasmsDiffusion Magnetic Resonance ImagingFemaleFluorodeoxyglucose F18HumansLiver NeoplasmsMaleMiddle AgedPositron-Emission TomographyPredictive Value of TestsTreatment OutcomeFluorodeoxyglucose F18

Identifiers

PMID25831053
PMCPMC4382283

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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.