Evidence map›Paper›PMID 25037871›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2014

Pretreatment metabolic tumour volume is predictive of disease-free survival and overall survival in patients with oesophageal squamous cell carcinoma.

Charles Lemarignier, Frédéric Di Fiore, Charline Marre, Sébastien Hapdey, Romain Modzelewski, Pierrick Gouel, Pierre Michel, Bernard Dubray, Pierre Vera

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Article in European journal of nuclear medicine and molecular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  4. Identification ofNutrients · 2023
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  6. Predictive value of clinical andScientific reports · 2022
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  7. Value ofFrontiers in oncology · 2022
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  11. Exploratory radiomic features from integratedEuropean journal of nuclear medicine and molecular imaging · 2019
    Article
  12. Article
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  14. Treatment Outcome Prediction for Cancer Patients based on Radiomics and Belief Function Theory.IEEE transactions on radiation and plasma medical sciences · 2019
    Article
  15. Prognostic values of mid-radiotherapyRadiation oncology (London, England) · 2019
    Article
  16. Article
  17. Article
  18. Accurate FDG PET tumor segmentation using the peritumoral halo layer method: a study in patients with esophageal squamous cell carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2018
    Article
  19. Article
  20. Oncology letters · 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

9 authors.

Charles LemarignierDepartment of Nuclear Medicine, Centre Henri Becquerel and Rouen University Hospital, Rouen, France, charleslemarignier@gmail.com.
Frédéric Di Fiore
Charline Marre
Sébastien Hapdey
Romain Modzelewski
Pierrick Gouel
Pierre Michel
Bernard Dubray
Pierre Vera

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIt has been suggested that FDG PET has predictive value for the prognosis of treated oesophageal carcinoma. However, the studies reported in the literature have shown discordant results. The aim of this study was to determine whether pretherapy quantitative metabolic parameters correlate with patient outcomes.

methodsIncluded in the study were 67 patients with a histological diagnosis of oesophageal squamous cell carcinoma. Each patient underwent (18)F-FDG PET (4.5 MBq/kg) before chemoradiotherapy. Quantitative analysis was performed using the following parameters: age, weight loss, location, N stage, OMS performance status, MTVp and MTVp' (metabolic tumour volume determined by two different physicians), MTV40% (volume for a threshold of 40 % of SUVmax), MTVa (volume automatically determined with a contrast-based adaptive threshold method), SUVmax, SUVmean and TLG (total lesion glycolysis).

resultsMTVp and MTV40% were highly correlated (Pearson's index 0.92). SUVmeanp and SUVmean40% were also correlated (Pearson's index 0.86), as were TLGp and TLG40% (Pearson's index 0.98). Similarly, the parameters obtained with the adaptive threshold method (MTVa, SUVmeana and TLGa) were correlated with those obtained manually (MTVp, SUVmeanp and TLGp). The manual metabolic tumour volume determination (MTVp and MTVp') was reproducible. Multivariate analysis for disease-free survival (DFS) showed that a larger MTVp was associated with a shorter DFS (p = 0.004) and that a higher SUVmax was associated with a longer DFS (p = 0.02). Multivariate analysis for overall survival (OS) showed that a larger MTVp was associated with a shorter OS (p = 0.01) and that a tumour in the distal oesophagus was associated with a longer OS (p = 0.005). The associations among the other parameters were not statistically significant.

conclusionMetabolic tumour volume is a major prognostic factor for DFS and OS in patients with oesophageal squamous cell carcinoma. Higher SUVmax values were paradoxically associated with longer survival. The location of the tumour also appeared to affect prognosis.

Indexed as

Tumor BurdenAdultAgedAged, 80 and overCarcinoma, Squamous CellChemoradiotherapyDisease-Free SurvivalEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPositron-Emission TomographyRetrospective StudiesFluorodeoxyglucose F18

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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.