Evidence map›Paper›PMID 32186275›Full record

SynthesisCurrent radiopharmaceuticals2020

Radiotherapy Planning and Molecular Imaging in Lung Cancer.

Angelina Filice, Massimiliano Casali, Patrizia Ciammella, Marco Galaverni, Federica Fioroni, Cinzia Iotti, Annibale Versari

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Current radiopharmaceuticals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. [Research progress on the identification of central lung cancer and atelectasis using multimodal imaging].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Review
  4. Article
  5. 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

7 authors at 1 institution in 1 country.

Angelina FiliceNuclear Medicine Unit, Azienda Unita Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy.
Massimiliano CasaliNuclear Medicine Unit, Azienda Unita Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy.
Patrizia CiammellaRadiation Oncology Unit, Azienda Unita Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy.
Marco GalaverniRadiation Oncology Unit, Azienda Unita Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy.
Federica FioroniMedical Physics Unit, Azienda Unita Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy.
Cinzia IottiRadiation Oncology Unit, Azienda Unita Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy.
Annibale VersariNuclear Medicine Unit, Azienda Unita Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy.
Azienda Sanitaria Unità Locale di Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn patients suitable for radical chemoradiotherapy for lung cancer, 18F-FDGPET/ CT is a proposed management to improve the accuracy of high dose radiotherapy. However, there is a high rate of locoregional failure in patients with locally advanced non-small cell lung cancer (NSCLC), probably due to the fact that standard dosing may not be effective in all patients. The aim of the present review was to address some criticisms associated with the radiotherapy image-guided in NSCLC. MATERIALS AND

methodsA systematic literature search was conducted. Only published articles that met the following criteria were included: articles, only original papers, radiopharmaceutical ([18F]FDG and any tracer other than [18F]FDG), target, only specific for lung cancer radiotherapy planning, and experimental design (eventually "in vitro" studies were excluded). Peer-reviewed indexed journals, regardless of publication status (published, ahead of print, in press, etc.) were included. Reviews, case reports, abstracts, editorials, poster presentations, and publications in languages other than English were excluded. The decision to include or exclude an article was made by consensus and any disagreement was resolved through discussion.

resultsHundred eligible full-text articles were assessed. Diverse information is now available in the literature about the role of FDG and new alternative radiopharmaceuticals for the planning of radiotherapy in NSCLC. In particular, the role of alternative technologies for the segmentation of FDG uptake is essential, although indeterminate for RT planning. The pros and cons of the available techniques have been extensively reported.

conclusionPET/CT has a central place in the planning of radiotherapy for lung cancer and, in particular, for NSCLC assuming a substantial role in the delineation of tumor volume. The development of new radiopharmaceuticals can help overcome the problems related to the disadvantage of FDG to accumulate also in activated inflammatory cells, thus improving tumor characterization and providing new prognostic biomarkers.

Indexed as

Positron Emission Tomography Computed TomographyCarcinoma, Non-Small-Cell LungFluorodeoxyglucose F18HumansLung NeoplasmsMolecular ImagingRadiopharmaceuticalsRadiotherapy Planning, Computer-AssistedFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG-PET/CTlung cancermotion artifactsnew radiopharmaceuticalsRadiotherapy planningtarget volume definition

Identifiers

PMID32186275
PMCPMC8206193
OpenAlexW3010841268

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.