Evidence map›Paper›PMID 39052066›Full record

SynthesisJournal of cancer research and clinical oncology2024

Nuclear medicine imaging modalities to detect incidentalomas and their impact on patient management: a systematic review.

Roberta Costanzo, Gianluca Scalia, Lidia Strigari, Massimiliano Ippolito, Federica Paolini, Lara Brunasso, Andrea Sciortino, Domenico Gerardo Iacopino, Rosario Maugeri, Gianluca Ferini and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of cancer research and clinical oncology, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

14 authors.

Roberta Costanzo *Department of Biomedicine Neurosciences and Advanced Diagnostics, Neurosurgical Clinic, AOUP "Paolo Giaccone", School of Medicine, University of Palermo, Palermo, Italy.
Gianluca Scalia *Neurosurgery Unit, Department of Head and Neck Surgery, Garibaldi Hospital, Catania, Italy. gianluca.scalia@outlook.it.
Lidia StrigariDepartment of Medical Physics, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
Massimiliano IppolitoDepartment of Advanced Technologies, Nuclear Medicine and PET, Cannizzaro Hospital, Catania, Italy.
Federica PaoliniDepartment of Biomedicine Neurosciences and Advanced Diagnostics, Neurosurgical Clinic, AOUP "Paolo Giaccone", School of Medicine, University of Palermo, Palermo, Italy.
Lara BrunassoDepartment of Biomedicine Neurosciences and Advanced Diagnostics, Neurosurgical Clinic, AOUP "Paolo Giaccone", School of Medicine, University of Palermo, Palermo, Italy.
Andrea SciortinoDepartment of Biomedicine Neurosciences and Advanced Diagnostics, Neurosurgical Clinic, AOUP "Paolo Giaccone", School of Medicine, University of Palermo, Palermo, Italy.
Domenico Gerardo IacopinoDepartment of Biomedicine Neurosciences and Advanced Diagnostics, Neurosurgical Clinic, AOUP "Paolo Giaccone", School of Medicine, University of Palermo, Palermo, Italy.
Rosario MaugeriDepartment of Biomedicine Neurosciences and Advanced Diagnostics, Neurosurgical Clinic, AOUP "Paolo Giaccone", School of Medicine, University of Palermo, Palermo, Italy.
Gianluca FeriniRadiation Oncology Unit, REM Radioterapia Srl, Viagrande, Italy.
Anna ViolaRadiation Oncology Unit, REM Radioterapia Srl, Viagrande, Italy.
Valentina ZagardoRadiation Oncology Unit, REM Radioterapia Srl, Viagrande, Italy.
Sebastiano Cosentino *Department of Advanced Technologies, Nuclear Medicine and PET, Cannizzaro Hospital, Catania, Italy.
Giuseppe E Umana *Department of Neurosurgery, Trauma and Gamma-Knife Center, Cannizzaro Hospital, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis systematic review aims to investigate the role of nuclear imaging techniques in detecting incidentalomas and their impact on patient management.

methodsFollowing PRISMA guidelines, a comprehensive literature search was conducted from February to May 2022. Studies in English involving patients undergoing nuclear medicine studies with incidental tumor findings were included. Data on imaging modalities, incidentaloma characteristics, management changes, and follow-up were extracted and analyzed.

resultsNinety-two studies involving 64.884 patients were included. Incidentalomas were detected in 611 cases (0.9%), with thyroid being the most common site. PET/CT with FDG and choline tracers showed the highest incidentaloma detection rates. Detection of incidentalomas led to a change in therapeutic strategy in 59% of cases. Various radiotracers demonstrated high sensitivity for incidentaloma detection, particularly in neuroendocrine tumors and prostate cancer.

conclusionNuclear imaging techniques play a crucial role in detecting incidentalomas, leading to significant changes in patient management. The high sensitivity of these modalities highlights their potential in routine oncology follow-up protocols. Future directions may include enhancing spatial resolution and promoting theranostic approaches for improved patient care.

Indexed as

Incidental FindingsNuclear MedicineFluorodeoxyglucose F18HumansNeoplasmsPositron Emission Tomography Computed TomographyRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsFollow-upIncidentalomasNuclear imagingOncologyPET/CTTherapeutic strategy

Identifiers

PMID39052066
PMCPMC11272692

What OpenQuestion holds

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Registered trials

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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.