The implications of missed or misinterpreted cases of pancreatic ductal adenocarcinoma on imaging: a multi-centered population-based study

No abstract is available for this paper.

• Publication year

  2020

• Venue

  European Radiology

• Publication date

  2020-08-12

• Fields of study

  Medicine

• Identifiers
  DOI 10.1007/s00330-020-07120-0PMID 32785768
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• The REDCap consortium: Building an international community of software platform partners

  2019cited by this paper
• Cancer statistics, 2019

  2019cited by this paper
• White paper on pancreatic ductal adenocarcinoma from society of abdominal radiology’s disease-focused panel for pancreatic ductal adenocarcinoma: Part I, AJCC staging system, NCCN guidelines, and borderline resectable disease

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  2017cited by this paper
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  2015cited by this paper
• Initial Misdiagnosis of Proximal Pancreatic Adenocarcinoma Is Associated with Delay in Diagnosis and Advanced Stage at Presentation

  2015influential reference
• R: A language and environment for statistical computing.

  2014cited by this paper
• Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States.

  2014cited by this paper
• Pancreatic cancer.

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  2013cited by this paper
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  2011cited by this paper
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  2011cited by this paper
• Pancreatic cancer.

  2010cited by this paper
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  1998cited by this paper
• Cancer statistics

  1989cited by this paper

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