Evidence map›Paper›PMID 42010049›Full record

ReviewCurrent oncology reports2026

Imaging as a Driver of Multidisciplinary Decision-making in Neuroendocrine Neoplasms: A Targeted Evidence Synthesis.

Milin Patel, Kiven Vuong, Bipin Nanda, Ashley Farrell, Kartik Gupta, Ankush Jajodia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Milin PatelFaculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Kiven VuongSchulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Bipin NandaVictoria and children's Hospital, London, ON, Canada.
Ashley FarrellLibrary and Information Services and The Institute of Education Research (TIER), University Health Network, Toronto, Ontario, Canada.
Kartik GuptaDepartment of Radiology, University of Manitoba, Manitoba, Winnipeg, Canada.
Ankush JajodiaDivision of Abdominal Imaging, Joint Department of Medical Imaging, Toronto, Canada. ankush.jajodia@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewNeuroendocrine neoplasms (NENs) are heterogeneous tumors requiring accurate staging and disease characterization to guide treatment, including eligibility for peptide receptor radionuclide therapy (PRRT). Imaging—particularly somatostatin receptor (SSTR) PET/CT—plays a key role in multidisciplinary tumor boards (MTBs). This review evaluates the impact of imaging on clinical decision-making in NENs. RECENT

findingsSeven studies assessing imaging within MTBs were included, with four providing comparable management change data (517 cases). Imaging-attributable management changes ranged from 36% to 59%, with a pooled estimate of 49% (95% CI 35–63%; I² = 78%). Imaging most commonly influenced decisions on PRRT eligibility, surgical planning, liver-directed therapies, and adjustments to systemic treatment. Imaging significantly impacts multidisciplinary decision-making in NENs, altering management in approximately half of cases. Despite heterogeneity across studies, findings support the central role of SSTR PET/CT in guiding treatment. Prospective studies with standardized definitions and patient-centered outcomes are needed to better establish clinical benefit.

Indexed as

Clinical Decision-MakingNeuroendocrine TumorsHumansPositron Emission Tomography Computed TomographyReceptors, SomatostatinReceptors, SomatostatinMultidisciplinary careNeuroendocrine neoplasmsPRRTRadiologySomatostatin receptor PET/CTTheranosticsTumor board

Identifiers

What OpenQuestion holds

Textmetadata
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.