Evidence map›Paper›PMID 36737523›Full record

ReviewAbdominal radiology (New York)2023

Pancreatic neuroendocrine tumors: tailoring imaging to specific clinical scenarios.

Katerina S Konstantinoff, Ajaykumar C Morani, Thomas A Hope, Priya R Bhosale, Isaac R Francis, Motoyo Yano, Amir Iravani, Nikolaos A Trikalinos, Malak Itani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Katerina S KonstantinoffMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, St. Louis, MO, 63110, USA.
Ajaykumar C MoraniDepartment of Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Thomas A HopeDepartment of Radiology and Biomedical Imaging, The University of California, San Francisco, 185 Berry Street Lobby 6, San Francisco, CA, 94107, USA.
Priya R BhosaleDepartment of Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Isaac R FrancisDepartment of Radiology, Michigan Medicine, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA.
Motoyo YanoDepartment of Radiology, Mayo Clinic Hospital, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA.
Amir IravaniDepartment of Radiology, University of Washington, 1959 NE Pacific St, Seattle, WA, 98195, USA.
Nikolaos A TrikalinosDepartment of Internal Medicine, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA.
Malak ItaniMallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, St. Louis, MO, 63110, USA. mitani@wustl.edu.ORCID http://orcid.org/0000-0002-8964-6400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical and imaging presentation of pancreatic neuroendocrine tumors (PanNETs) is variable and depends on tumor grade, stage, and functional status. This degree of variability combined with a multitude of treatment options and imaging modalities results in complexity when choosing the most appropriate imaging studies across various clinical scenarios. While various guidelines exist in the management and evaluation of PanNETs, there is an overall lack of consensus and detail regarding optimal imaging guidelines and protocols. This manuscript aims to fill gaps where current guidelines may lack specificity regarding the choice of the most appropriate imaging study in the diagnosis, treatment planning, monitoring, and surveillance of PanNETs under various clinical scenarios.

Indexed as

Neuroendocrine TumorsPancreatic NeoplasmsDiagnostic ImagingHumansCTImagingMRIPancreatic neuroendocrine neoplasmSomatostatin receptor PET

Identifiers

PMID36737523

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.