Evidence map›Paper›PMID 29882070›Full record

Trial reportEuropean radiology2018

CT attenuation of liver metastases before targeted therapy is a prognostic factor of overall survival in colorectal cancer patients. Results from the randomised, open-label FIRE-3/AIO KRK0306 trial.

Matthias F Froelich, Volker Heinemann, Wieland H Sommer, Julian W Holch, Franziska Schoeppe, Nina Hesse, Alena B Baumann, Wolfgang G Kunz, Maximilian F Reiser, Jens Ricke and 5 more

Abstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Trial
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  5. Article
  6. Predictive Value of Quantitative Parameters ofDiagnostics (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Article
  9. Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Review
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

15 authors at 4 institutions in 1 country.

Matthias F FroelichDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Volker HeinemannDepartment of Internal Medicine III, Comprehensive Cancer Center Munich, University Hospital Grosshadern, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Wieland H SommerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany. wieland.sommer@icloud.com.
Julian W HolchDepartment of Internal Medicine III, Comprehensive Cancer Center Munich, University Hospital Grosshadern, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Franziska SchoeppeDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Nina HesseDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Alena B BaumannDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Wolfgang G KunzDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Maximilian F ReiserDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Jens RickeDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Melvin D'AnastasiDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Sebastian StintzingDepartment of Internal Medicine III, Comprehensive Cancer Center Munich, University Hospital Grosshadern, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Dominik P ModestDepartment of Internal Medicine III, Comprehensive Cancer Center Munich, University Hospital Grosshadern, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Philipp M KazmierczakDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
Felix O HofmannDepartment of Radiology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
LMU Klinikum · DELudwig-Maximilians-Universität München · DEHeidelberg University · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the prognostic value of pre-therapeutic computed tomography (CT) attenuation of liver metastases for overall survival (OS) in metastatic colorectal cancer (mCRC).

methodsIn the open-label, randomised, prospective phase-III FIRE-3 trial, patients with histologically confirmed mCRC received fluorouracil (5-FU), leucovorin and irinotecan (FOLFIRI) with either cetuximab or bevacizumab. Participating patients gave written informed consent prior to study entry. In CT at baseline (portal venous phase, slice thickness ≤5 mm), mean attenuation [Hounsfield units (HU)] of liver metastases was retrospectively assessed by semi-automated volumetry. Its prognostic influence on OS was analysed in Kaplan-Meier-analysis and Cox proportional hazard regression and an optimal threshold was determined.

resultsIn FIRE-3, 592 patients were enrolled between 2007 and 2012. Among the 347 patients eligible for liver volumetry, median baseline CT attenuation of liver metastases was 59.67 HU [interquartile range (IQR), 49.13, 68.85]. Increased attenuation was associated with longer OS {per 10 HU: hazard ratio (HR), 0.85 [95% confidence interval (CI), 0.78, 0.93], p < 0.001}. The optimised threshold (≥61.62 HU) was a strong predictor for increased OS [median, 21.3 vs 30.6 months; HR, 0.61 (95% CI, 0.47, 0.80), p < 0.001]. Multivariate regression controlling for correlated and further prognostic factors confirmed this [HR, 0.60 (95% CI, 0.45, 0.81), p = 0.001]. Furthermore, mean attenuation ≥61.62 HU was significantly associated with increased early tumour shrinkage (p = 0.002) and increased depth of response (p = 0.012).

conclusionsIncreased mean baseline CT attenuation of liver metastases may identify mCRC patients with prolonged OS and better tumour response. KEY POINTS: • In colorectal cancer, increased attenuation of liver metastases in baseline computed tomography is a prognostic factor for prolonged OS (p < 0.001). • A threshold of ≥61.62 HU was determined as optimal cut-off to identify patients with prolonged OS (p < 0.001), early tumour shrinkage (p = 0.002) and increased depth of response (p = 0.012).

Indexed as

AdultAgedAntineoplastic AgentsColorectal NeoplasmsFemaleGermanyHumansLiver NeoplasmsMaleMiddle AgedMolecular Targeted TherapyPrognosisProspective StudiesSurvival RateTomography, X-Ray ComputedAntineoplastic AgentsChemotherapyColorectal neoplasmsLiverNeoplasm metastasisPrognosis

Identifiers

PMID29882070
OpenAlexW2805125283

What OpenQuestion holds

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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.