Evidence map›Paper›PMID 35275345›Full record

ArticleAnnals of nuclear medicine2022

18F-FDG PET/CT as predictive and prognostic factor in esophageal cancer treated with combined modality treatment.

Marco Krengli, Eleonora Ferrara, Riccardo Guaschino, Erinda Puta, Lucia Turri, Ilaria Luciani, Gian Mauro Sacchetti, Pierfrancesco Franco, Marco Brambilla

Open access · hybridAbstract read
In one paragraph

Article in Annals of nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. The prognostic value of pretreatment [European radiology · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. From pixels to predictions: the scrying power of molecular imaging.European journal of nuclear medicine and molecular imaging · 2024
    Article
  10. 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 at 1 institution in 1 country.

Marco KrengliDivision of Radiation Oncology, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy. marco.krengli@med.uniupo.it.ORCID http://orcid.org/0000-0002-2064-8379
Eleonora FerraraDivision of Radiation Oncology, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy.
Riccardo GuaschinoDivision of Radiation Oncology, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy.
Erinda PutaUnit of Nuclear Medicine, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy.
Lucia TurriDivision of Radiation Oncology, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy.
Ilaria LucianiDivision of Radiation Oncology, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy.
Gian Mauro SacchettiUnit of Nuclear Medicine, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy.
Pierfrancesco FrancoDivision of Radiation Oncology, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy.
Marco BrambillaUnit of Medical Physics, University Hospital "Maggiore Della Carità", corso Mazzini 18, 28100, Novara, Italy.
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose[18F] fluorodeoxyglucose positron emission tomography/computed tomography ([18F] FDG-PET/CT) is used for diagnosis, staging, response assessment and prognosis prediction in different tumors, but its role in esophageal cancer is still debated. The aim of this study was to evaluate the role of semiquantitative baseline PET parameters as possible prognostic and predictive factors in a series of esophageal carcinomas treated with combined modalities.

methods43 patients with esophageal carcinoma were treated with chemoradiotherapy (CRT) followed by surgery in 20 cases and underwent pre-treatment 18F-FDG-PET/CT. Semiquantitative PET parameters were evaluated including Standardized Uptake Value (SUVmax e SUVmean), Metabolic Tumor Volume (MTV) and Total Lesion Glycolysis (TLG) with isocontour of 41 and 50%. Further variables analyzed were gender, primary tumor site, histological type, use of surgery, achievement of a radical resection and the type of chemotherapy regimen. The correlation of all variables with treatment response, loco-regional control (LR), Overall survival (OS) and Disease-Free Survival (DFS) was evaluated.

resultsSUVmax, SUVmean50 and SUVmean41 were significantly higher in node-positive cases and in squamous cell carcinomas. With respect to prognostic factors, MTV was found to be correlated with OS: patients with MTV41 < 11.32 cm

conclusionsPre-treatment MTV values were significant prognostic factors for OS, together with the use of surgery and R0 resection in esophageal cancers treated with multimodal therapies.

Indexed as

Carcinoma, Squamous CellEsophageal NeoplasmsFluorodeoxyglucose F18HumansPositron Emission Tomography Computed TomographyPrognosisRadiopharmaceuticalsRetrospective StudiesTumor BurdenFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTEsophageal cancerPredictive/prognostic factorsRadio-chemotherapySurgery

Identifiers

PMID35275345
PMCPMC9016048
OpenAlexW4220872532

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.