Evidence map›Paper›PMID 39775027›Full record

ArticleAbdominal radiology (New York)2025

Differentiation between renal cell carcinoma metastases to the pancreas and pancreatic neuroendocrine tumors in patients with renal cell carcinoma on CT or MRI.

Marie-Joy Nduwimana, Ceylan Colak, Cem Bilgin, Blake A Kassmeyer, Candice M Bolan, Christine O Menias, Sudhakar K Venkatesh

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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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4 · The record

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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.

Marie-Joy NduwimanaMayo Clinic Rochester, Rochester, MN, USA.
Ceylan ColakMayo Clinic Rochester, Rochester, MN, USA.
Cem BilginMayo Clinic Rochester, Rochester, MN, USA.
Blake A KassmeyerMayo Clinic Rochester, Rochester, MN, USA.
Candice M BolanMayo Clinic Jacksonville, Jacksonville, FL, USA.
Christine O MeniasMayo Clinic Scottsdale, Scottsdale, USA.
Sudhakar K VenkateshMayo Clinic Rochester, Rochester, MN, USA. venkatesh.sudhakar@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine whether renal cell carcinoma metastases (RCC-Mets) to the pancreas can be differentiated from pancreatic neuroendocrine tumors (PNETs) in patients with RCC on CT or MRI at presentation.

methodsThis retrospective study included patients with biopsy-proven RCC-Mets (n = 102) or PNETs (n = 32) at diagnosis or after nephrectomy for RCC. Inter-observer agreement (Cohen kappa) was assessed in 95 patients with independent reads by two radiologists, with discrepancies resolved by consensus for final analysis. The remaining 39 cases underwent consensus reads by two different radiologists for final analysis. The CT/MRI images were reviewed for number, size, regional distribution, parenchymal location (exophytic or intrapancreatic), contrast-enhancement, and enhancement pattern of pancreatic lesions in the available phases. Statistical tests were conducted using two sample t-tests and Pearson's chi-squared test for numeric and categorical variables respectively.

resultsThe study group comprised of 134 patients (90 males) with 265 lesions (229 RCC-Mets and 36 PNETs). Patients with PNETs were significantly younger (62 ± 12 years vs. 67 ± 9 years, p = 0.013). Inter-observer agreement for CT/MRI features was excellent across multiple imaging variables (k = 0.86-1.00). Most PNETs were single lesions (88 vs. 63%, p = 0.008), smaller in size (14 mm vs. 23 mm, p = 0.042), more common in the body and tail (81 vs. 57%, p = 0.01), showed homogeneous contrast enhancement (64-79% vs. 39-49%, p < 0.01-0.03), less T1-hypointense (80 vs. 99%, p = 0.002) and more DWI hyperintense (71 vs. 58%, p < 0.001) compared to RCC-Mets.

conclusionPNETs are typically single, occur in distal pancreas, and enhance homogeneously compared to RCC-Mets which are often multiple, occur in the proximal pancreas, and enhance heterogeneously.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMagnetic Resonance ImagingNeuroendocrine TumorsPancreatic NeoplasmsTomography, X-Ray ComputedAdultAgedContrast MediaDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesContrast MediaCTMRINeuroendocrine tumorPancreasRenal cell carcinoma

Identifiers

PMID39775027

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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.