Evidence map›Paper›PMID 36690735›Full record

ArticleInsights into imaging2023

CT and MR imaging features of mixed neuroendocrine-non-neuroendocrine neoplasm of the pancreas compared with pancreatic ductal adenocarcinoma and neuroendocrine tumor.

Yanqi Zhong, Heng Zhang, Xian Wang, Zongqiong Sun, Yuxi Ge, Weiqiang Dou, Shudong Hu

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Yanqi Zhong *Department of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, 214122, Jiangsu, China.
Heng Zhang *Department of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, 214122, Jiangsu, China.
Xian Wang *Department of Radiology, Affiliated Renmin Hospital, Jiangsu University, No. 8, Dianli Road, Zhenjiang, 212002, Jiangsu, China.
Zongqiong SunDepartment of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, 214122, Jiangsu, China.
Yuxi GeDepartment of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, 214122, Jiangsu, China.
Weiqiang DouGE Healthcare, MR Research China, Beijing, 100176, China.
Shudong HuDepartment of Radiology, Affiliated Hospital, Jiangnan University, No. 1000, Hefeng Road, Wuxi, 214122, Jiangsu, China. hsd2001054@163.com.
Jiangnan University · CNAffiliated Hospital of Jiangsu University · CN

Funding

Jiangsu Commission of Health H2019087Wuxi Health and Family Planning Commission MS201901Wuxi Municipal Bureau on Science and Technology N20192027
6 · The paper itself

Abstract

objectiveThis study aimed to assess the computed tomography (CT) and magnetic resonance imaging (MRI) features of pancreatic mixed neuroendocrine-non-neuroendocrine neoplasm (MiNEN) and compare them with those of pancreatic ductal adenocarcinoma (PDAC) and neuroendocrine tumor (NET).

methodsTwelve patients with pancreatic MiNEN, 24 patients with PDAC, and 24 patients with NET, who underwent both contrast-enhanced CT and MRI, were included. Clinical data and the key imaging features were retrospectively evaluated by two independent readers and compared between MiNEN and PDAC or NET. Univariate and multivariable logistic regression analyses were performed to obtain predictors for pancreatic MiNEN.

resultsPatients with pancreatic MiNEN more frequently presented with large size and heterogeneous and cystic components compared with PDAC (p < 0.031) and ill-defined irregular margins, progressive enhancement, and adjacent organ involvement compared with NET (p < 0.036). However, vascular invasion was less commonly seen in MiNEN than PDAC (p = 0.010). Moderate enhancement was observed more frequently in MiNEN than in PDAC or NET (p < 0.001). Multivariate logistic analyses demonstrated that moderate enhancement and ill-defined irregular margin were the most valuable features for the prediction of pancreatic MiNEN (p ≤ 0.044). The combination of the two features resulted in a specificity of 93.8%, sensitivity of 83.3%, and accuracy of 91.7%.

conclusionsWe have mainly described the radiological findings of pancreatic MiNEN with ill-defined irregular margin and moderate enhancement compared with PDAC and NET. The combination of imaging features could improve diagnostic efficiency and help in the selection of the correct treatment method.

Indexed as

Computed tomographyMagnetic resonance imagingMiNENMixed neuroendocrine–non-neuroendocrine neoplasmPancreatic neoplasms

Identifiers

PMID36690735
PMCPMC9871080
OpenAlexW4317788389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.