Evidence map›Paper›PMID 31886757›Full record

ReviewCurrent radiopharmaceuticals2020

18F-FDG PET/CT in Restaging and Evaluation of Response to Therapy in Lung Cancer: State of the Art.

Angelo Castello, Sabrina Rossi, Egesta Lopci

Open access · hybridAbstract readReview
In one paragraph

Review in Current radiopharmaceuticals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Development and validation of anAnnals of nuclear medicine · 2025
    Article
  2. EJNMMI research · 2025
    Article
  3. Cancers · 2025
    Review
  4. Article
  5. Article
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  7. Article
  8. Review
  9. A novel [Frontiers in immunology · 2023
    Article
  10. DynamicThoracic cancer · 2022
    Article
  11. Article
  12. Article
  13. Article
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  15. Review
  16. Review
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

3 authors.

Angelo CastelloNuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Italy.
Sabrina RossiMedical Oncology, Humanitas Clinical and Research Hospital, Rozzano, Italy.
Egesta LopciNuclear Medicine, Humanitas Clinical and Research Hospital, Rozzano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic information provided by 18F-FDG PET/CT are useful for initial staging, therapy planning, response evaluation, and to a lesser extent for the follow-up of non-small cell lung cancer (NSCLC). To date, there are no established clinical guidelines in treatment response and early detection of recurrence.

objectiveTo provide an overview of 18F-FDG PET/CT in NSCLC and in particular, to discuss its utility in treatment response evaluation and restaging of lung cancer.

methodsA comprehensive search was used based on PubMed results. From all studies published in English those that explored the role of 18F-FDG PET/CT in the treatment response scenario were selected.

resultsSeveral studies have demonstrated that modifications in metabolic activity, expressed by changes in SUV both in the primary tumor as well as in regional lymph nodes, are associated with tumor response and survival. Beside SUV, other metabolic parameters (i.e. MTV, TLG, and percentage changes) are emerging to be helpful for predicting clinical outcomes.

conclusion18F-FDG parameters appear to be promising factors for evaluating treatment response and for detecting recurrences, although larger prospective trials are needed to confirm these evidences and to determine optimal cut-off values.

Indexed as

Carcinoma, Non-Small-Cell LungFluorodeoxyglucose F18Lung NeoplasmsNeoplasm Recurrence, LocalNeoplasm StagingPositron Emission Tomography Computed TomographyPrognosisRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsFDG PETLung cancerNSCLCPET/CTresponse evaluationrestaging

Identifiers

PMID31886757
PMCPMC8493792
OpenAlexW2996889947

What OpenQuestion holds

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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.