Evidence map›Paper›PMID 26010778›Full record

Trial reportHPB : the official journal of the International Hepato Pancreato Biliary Association2015

Prospective evaluation of 18F-fluorodeoxyglucose positron emission tomography in patients receiving hepatic arterial and systemic chemotherapy for unresectable colorectal liver metastases.

Camilo Correa-Gallego, Somali Gavane, Ravinder Grewal, Andrea Cercek, David S Klimstra, Alexandra N Gewirtz, T Peter Kingham, Yuman Fong, Ronald P DeMatteo, Peter J Allen and 3 more

Abstract readClinical Trial, Phase II
In one paragraph

Trial report in HPB : the official journal of the International Hepato Pancreato Biliary Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. The Value ofDiagnostics (Basel, Switzerland) · 2022
    Review
  4. 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

13 authors.

Camilo Correa-GallegoDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Somali GavaneMolecular Imaging and Therapy Section, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ravinder GrewalMolecular Imaging and Therapy Section, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andrea CercekDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
David S KlimstraDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Alexandra N GewirtzDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
T Peter KinghamDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Yuman FongDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ronald P DeMatteoDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Peter J AllenDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
William R JarnaginDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nancy KemenyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michael I D'AngelicaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe prognostic and predictive abilities of 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) coupled with conventional computed tomography (CT) have not been studied in patients with unresectable colorectal liver metastases (uCRLM) treated with combined hepatic arterial infusion (HAI) and systemic chemotherapy.

objectivesThe ability of PET-CT metabolic response parameters to predict conversion to resectability and oncologic outcome in this setting was evaluated.

methodsThirty-eight patients undergoing serial PET-CT as part of a Phase II trial of HAI and systemic chemotherapy for uCRLM were included. Metabolic response was determined as the percentage change in standard uptake value (SUV) and total lesion glycolysis (TLG). Conversion to resection, overall survival (OS), progression-free survival (PFS) and recurrence-free survival were evaluated using standard statistics.

resultsVolumetric response sufficient to facilitate resection was seen in 53% of patients after a median of 5 months of therapy. Median follow-up was 38 months (range: 32-52 months). Median OS was not reached [95% confidence interval (CI) 32 months-unknown] and 3-year OS was 54% (range: 33-71%). Median PFS was 13 months (95% CI 6-21 months) and 3 year PFS was 10% (range: 3-20%). Neither baseline values nor the percentage change in any of the metabolic parameters evaluated correlated with conversion to resection, survival variables or hepatic recurrence on Cox regression analysis.

conclusionsPre- and post-treatment PET-related metabolic parameters do not predict conversion to resection or oncologic outcome in patients with uCRLM treated with HAI and systemic chemotherapy. Metabolic parameters should not be used to monitor response or to determine prognosis in these patients.

Indexed as

Fluorodeoxyglucose F18Positron-Emission TomographyRadiopharmaceuticalsTomography, X-Ray ComputedAntineoplastic Combined Chemotherapy ProtocolsColorectal NeoplasmsDisease-Free SurvivalDisease ProgressionFemaleHumansKaplan-Meier EstimateLiver NeoplasmsMaleMiddle AgedMultimodal ImagingNew York CityFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID26010778
PMCPMC4474513

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.