Evidence map›Paper›PMID 27146067›Full record

ArticleThe British journal of radiology2016

(18)F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational status.

Pierre Lovinfosse, Benjamin Koopmansch, Frederic Lambert, Sébastien Jodogne, Gaelle Kustermans, Mathieu Hatt, Dimitris Visvikis, Laurence Seidel, Marc Polus, Adelin Albert and 2 more

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Using tumor habitat-derived radiomic analysis during pretreatmentCancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  4. Phenomic Imaging.Phenomics (Cham, Switzerland) · 2023
    Review
  5. The Role of Radiomics in Rectal Cancer.Journal of gastrointestinal cancer · 2023
    Review
  6. Does high [European radiology · 2023
    Article
  7. Article
  8. Imaging prediction ofThe British journal of radiology · 2023
    Article
  9. Ability ofCancers · 2023
    Article
  10. Radiomics in colorectal cancer patients.World journal of gastroenterology · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Correlation betweenAbdominal radiology (New York) · 2022
    Article
  17. Review
  18. Article
  19. 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

12 authors at 3 institutions in 2 countries.

Pierre Lovinfosse1 Nuclear Medicine and Oncological Imaging Division, Medical Physics Department, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Benjamin Koopmansch2 Center for Human Genetic, Molecular Haemato-Oncology Unit, UniLab Lg, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Frederic Lambert2 Center for Human Genetic, Molecular Haemato-Oncology Unit, UniLab Lg, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Sébastien Jodogne3 Department of Medical Physics, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Gaelle Kustermans4 Department of Pathology, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Mathieu Hatt5 LaTIM, INSERM UMR 1101, IBSAM, University of Brest, France.
Dimitris Visvikis5 LaTIM, INSERM UMR 1101, IBSAM, University of Brest, France.
Laurence Seidel6 Department of Biostatistics and Medico-economic Information, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Marc Polus7 Department of Gastro-enterology, Centre Hospitalier Universitaire de Liège, Belgium.
Adelin Albert6 Department of Biostatistics and Medico-economic Information, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Philippe Delvenne4 Department of Pathology, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Roland Hustinx1 Nuclear Medicine and Oncological Imaging Division, Medical Physics Department, Centre Hospitalier Universitaire de Liège, Liège, Belgium.
Centre Hospitalier Universitaire de Liège · BELaboratoire de Traitement de l'Information Médicale · FRUniversité de Bretagne Occidentale · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTreating metastatic colorectal cancer with anti-EGFR monoclonal antibodies is recommended only for patients whose tumour does not harbour mutations of KRAS or NRAS. The aim of this study was to investigate the biology of rectal cancers and specifically to evaluate the relationship between fluorine-18 fludeoxyglucose ((18)F-FDG) positron emission tomography (PET) intensity and heterogeneity parameters and their mutational status.

methods151 patients with newly diagnosed rectal cancer were included in this retrospective study. All patients underwent a baseline (18)F-FDG PET/CT within a median time interval of 27 days of tumour tissue sampling, which was performed before any treatment. Standardized uptake values (SUVs), volume-based parameters and texture analysis were studied. We retrospectively performed KRAS genotyping on codons 12, 13, 61, 117 and 146, NRAS genotyping on codons 12, 13 and 61 and BRAF on codon 600. Associations between PET/CT parameters and the mutational status were assessed using univariate and multivariate analysis.

results83 (55%) patients had an RAS mutation: 74 KRAS and 9 NRAS, while 68 patients had no mutation (wild-type tumours). No patient had BRAF mutation. First-order features based on intensity histogram analysis were significantly associated with RAS mutations: maximum SUV (SUVmax) (p-value = 0.002), mean SUV (p-value = 0.006), skewness (p-value = 0.049), SUV standard deviation (p-value = 0.001) and SUV coefficient of variation (SUVcov) (p-value = 0.001). Both SUVcov and SUVmax showed an area under the curve of 0.65 with sensitivity of 56% and 69%, respectively, and specificity of 64% and 52%, respectively. None of the volume-based (metabolic tumour volume and total lesion glycolysis), nor local or regional textural features were associated with the presence of RAS mutations.

conclusionAlthough rectal cancers with KRAS or NRAS mutations display a significantly higher glucose metabolism than wild-type cancers, the accuracy of the currently proposed quantitative metrics extracted from (18)F-FDG PET/CT is not sufficiently high for playing a meaningful clinical role. ADVANCES IN KNOWLEDGE: RAS-mutated rectal cancers have a significantly higher glucose metabolism. However, the accuracy of (18)F-FDG PET/CT quantitative metrics is not as such as the technique could play a clinical role.

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyRadiopharmaceuticalsAdultAgedAged, 80 and overFemaleGenes, rasHumansMaleMiddle AgedMutationRectal NeoplasmsRectumRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID27146067
PMCPMC5257332
OpenAlexW2346064909

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.