Evidence map›Paper›PMID 38748067›Full record

ArticleEJNMMI reports2024

Diagnostic value of FDG PET-CT in differentiating lung adenocarcinoma from squamous cell carcinoma.

Adem Maman, Sadık Çiğdem, İdris Kaya, Rabia Demirtaş, Onur Ceylan, Sevilay Özmen

Abstract read
In one paragraph

Article in EJNMMI reports, 2024. 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. Deep integration of clinical metadata with [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Article
  4. [18F]FDG- PET/CT in Staging and Restaging of Fetal Type Adenocarcinoma of the Lung: A Case Report and a Review of the Literature.Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India
    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

6 authors.

Adem MamanDepartment of Nuclear Medicine, Faculty of Medicine, Atatürk University, Erzurum, Turkey. adem.maman@atauni.edu.tr.ORCID http://orcid.org/0000-0002-7742-1028
Sadık ÇiğdemVocational School of Health Services, Istanbul Aydın University, Istanbul, Turkey.
İdris KayaDepartment of Radiology, Private Buhara Hospital, Erzurum, Turkey.
Rabia DemirtaşDepartment of Medical Pathology, Faculty of Medicine, Atatürk University, Erzurum, Turkey.
Onur CeylanDepartment of Medical Pathology, Faculty of Medicine, Atatürk University, Erzurum, Turkey.
Sevilay ÖzmenDepartment of Medical Pathology, Faculty of Medicine, Atatürk University, Erzurum, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related deaths worldwide. The combination of fluorine-18 fluorodeoxyglucose positron emission tomography (18F-FDG PET) and computed tomography (CT) has a major impact on the diagnosis, staging, treatment planning and follow-up of lung cancer patients. The maximum standardized uptake value (SUVmax) is an easily performed and most widely used semi-quantitative index for the analysis of FDG PET images and estimation of metabolic activity. This study aimed to investigate the role of PET/CT in differentiating adenocarcinoma (ADC), the most common lung cancer, from squamous cell carcinoma (SCC) by comparing FDG uptake measured as SUVmax.

resultsBetween 2019 and 2022, 76 patients diagnosed with non-small cell lung cancer (NSCLC) at the Department of Pathology, Atatürk University Faculty of Medicine, with histopathologic evidence of adenocarcinoma or squamous cell carcinoma, underwent retrospective analysis using PET/CT scanning to measure PET parameters of the lesions and compare them with histopathology. Among 76 NSCLC patients included in the study, 43 (57%) were histopathologically diagnosed as ADC and 33 (43%) as SCC. SUVmax, SUVmean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) values of lesions in patients with SCC were statistically significantly higher than those in patients with ADC (p values 0.007, 0.009, 0.003 and 0.04, respectively).

conclusionsLung SCC has higher metabolic uptake values than ADC, and PET/CT can be used to differentiate them.

Indexed as

AdenocarcinomaFluorine-18 fluorodeoxyglucose positron emission tomographyNon-small cell lung cancerSquamous cell carcinoma

Identifiers

PMID38748067
PMCPMC10962626

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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.