Evidence map›Paper›PMID 28299585›Full record

ArticleAnnals of nuclear medicine2017

Serial imaging using [18F]Fluorodeoxyglucose positron emission tomography and histopathologic assessment in predicting survival in a population of surgically resectable distal oesophageal and gastric adenocarcinoma following neoadjuvant therapy.

Varun Manoharan, Soon Lee, Shanley Chong, June Yap, Nick Coupe, Robert Wilson, Neil Merrett, Weng Ng, Michael Lin

Abstract read
In one paragraph

Article in Annals of nuclear medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. The prognostic value of pretreatment [European radiology · 2025
    Pooled it
  2. Article
  3. 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.

Varun ManoharanUniversity of New South Wales, Liverpool Hospital, Sydney, NSW, 2170, Australia.
Soon LeeUniversity of Western Sydney, Liverpool Hospital, Sydney, NSW, 2170, Australia.
Shanley ChongUniversity of New South Wales, Liverpool Hospital, Sydney, NSW, 2170, Australia.
June YapDepartment of Nuclear Medicine and PET, Ground Floor, New Clinical Building, 1 Elizabeth Drive, Liverpool Hospital, Sydney, NSW, 2170, Australia.
Nick CoupeDepartment of Medical Oncology, Liverpool Hospital, Sydney, NSW, 2170, Australia.
Robert WilsonUniversity of New South Wales, Liverpool Hospital, Sydney, NSW, 2170, Australia.
Neil MerrettUniversity of Western Sydney, Liverpool Hospital, Sydney, NSW, 2170, Australia.
Weng NgUniversity of New South Wales, Liverpool Hospital, Sydney, NSW, 2170, Australia.
Michael LinUniversity of New South Wales, Liverpool Hospital, Sydney, NSW, 2170, Australia. michael.lin@swsahs.nsw.gov.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesWe retrospectively evaluated the value of PET/CT in predicting survival and histopathological tumour-response in patients with distal oesophageal and gastric adenocarcinoma following neoadjuvant treatment.

methodsTwenty-one patients with resectable distal oesophageal adenocarcinoma and 14 with gastric adenocarcinoma between January 2002 and December 2011, who had undergone serial PET before and after neoadjuvant therapy followed by surgery, were enrolled. Maximum standard uptake value (SUVmax) and metabolic tumour volume were measured and correlated with tumour regression grade and survival.

resultsHistopathological tumour response (PR) is a stronger predictor of overall and disease-free survival compared to metabolic response. ∆%SUVmax ≥70% was the only PET metric that predicted PR (82.4% sensitivity, 61.5% specificity, p = 0.047). Histopathological non-responders had a higher risk of death (HR 8.461, p = 0.001) and recurrence (HR 6.385, p = 0.002) and similarly in metabolic non-responders for death (HR 2.956, p = 0.063) and recurrence (HR 3.614, p = 0.028). Ordinalised ∆%SUVmax showed a predictive trend for OS and DFS, but failed to achieve statistical significance.

conclusionsPR was a stronger predictor of survival than metabolic response. ∆%SUVmax ≥70% was the best biomarker on PET that predicted PR and survival in oesophageal and gastric adenocarcinoma. Ordinalisation of ∆%SUVmax was not helpful in predicting primary outcomes.

Indexed as

Positron Emission Tomography Computed TomographyAdenocarcinomaAdultAgedDisease-Free SurvivalEsophageal NeoplasmsEsophagusFemaleFluorodeoxyglucose F18Follow-Up StudiesGastric MucosaHumansKaplan-Meier EstimateMaleMiddle AgedNeoadjuvant TherapyFluorodeoxyglucose F18RadiopharmaceuticalsFDGGastric cancerOesophageal cancerPETPET-CTTreatment response

Identifiers

PMID28299585
PMCPMC5397458

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.