Evidence map›Paper›PMID 26628966›Full record

ArticleInternational journal of clinical and experimental medicine2015

Clinical features and CT/MRI findings of pancreatic acinar cell carcinoma.

Li Tian, Xiao-Fei Lv, Jun Dong, Jian Zhou, Yu Zhang, Shao-Yan Xi, Rong Zhang, Chuan-Miao Xie

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  6. Review
  7. Review
  8. Review
  9. Pancreatic acinar cell carcinoma: A comprehensive review.World journal of gastroenterology · 2022
    Review
  10. Review
  11. Article
  12. Article
  13. Adult pancreatoblastoma: a case report.The Journal of international medical research · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

8 authors.

Li TianCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China Guangzhou, P. R. China ; Department of Imaging Diagnosis Center, Cancer Center, Sun Yat-sen University Guangzhou, P. R. China.
Xiao-Fei LvCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China Guangzhou, P. R. China ; Department of Imaging Diagnosis Center, Cancer Center, Sun Yat-sen University Guangzhou, P. R. China.
Jun DongCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China Guangzhou, P. R. China ; Department of Imaging Diagnosis Center, Cancer Center, Sun Yat-sen University Guangzhou, P. R. China.
Jian ZhouCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China Guangzhou, P. R. China ; Department of Imaging Diagnosis Center, Cancer Center, Sun Yat-sen University Guangzhou, P. R. China.
Yu ZhangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China Guangzhou, P. R. China ; Department of Pathology, Cancer Center, Sun Yat-sen University Guangzhou, P. R. China.
Shao-Yan XiCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China Guangzhou, P. R. China ; Department of Pathology, Cancer Center, Sun Yat-sen University Guangzhou, P. R. China.
Rong ZhangCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China Guangzhou, P. R. China ; Department of Imaging Diagnosis Center, Cancer Center, Sun Yat-sen University Guangzhou, P. R. China.
Chuan-Miao XieCollaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China Guangzhou, P. R. China ; Department of Imaging Diagnosis Center, Cancer Center, Sun Yat-sen University Guangzhou, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To retrospectively review the clinical features and computed tomography (CT) and magnetic resonance imaging (MRI) findings of PAAC so as to improve the accuracy of imaging diagnosis. Seventeen patients with pathologically proven PAAC were enrolled. Their clinical and imaging findings were retrospectively reviewed. The median age of the patients was 56 years (range, 7-74 years). The tumors were located in any part of the pancreas or exophyitc growth, with a median maximal diameter of 68 mm. Thirteen masses presented with ovoid shape. Nine masses had less clear boundaries. Eleven masses showed a variable degree of intratumoral hypodense or necrosis before contrast administration on CT images. Five masses showed hypointense on unenhanced T1 weighted images and hyperintense on T2 weighted images. After contrast administration, the most common enhancement pattern was slight enhancement on arterial phase and persistent enhancement on portal vein phase. Infiltration of tumor into duct and vessels was not common. Five and 2 patients developed hepatic metastasis and local lymphadenopathy, respectively. By the end of the last follow-up, 11 patients survived free of disease. PAAC should be included in the differential diagnosis when a bulky, ovoid, heterogeneous mass, with clear or less clear margins, in the pancreas or peripancreas, with slight and persistent enhancement after contrast administration on CT or MRI images is seen, particularly in elder men.

Indexed as

clinical featurecomputed tomographymagnetic resonance imagingPancreatic acinar cell carcinoma

Identifiers

PMID26628966
PMCPMC4658855

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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.