Cited by 44Pancreatic and Hepatic Oncology ResearchMedical Imaging Techniques and ApplicationsMRI in cancer diagnosis

Multidetector computer tomography in the pancreatic adenocarcinoma assessment: an update

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Granata, Vincenza, Fusco, Roberta, Catalano, Orlando, Setola, Sergio Venanzio, de Lutio di Castelguidone, Elisabetta, Piccirillo, Mauro, Palaia, Raffaele, Grassi, Roberto +3 more·2016·Infectious Agents and Cancer

Abstract

Ductal adenocarcinoma of the pancreas is one of the most aggressive forms of cancer, with only a minority of cases being resectable at the moment of their diagnosis. The accurate detection and characterization of pancreatic carcinoma is very important for patient management. Multidetector-row computed tomography (MDCT) has become the cross-sectional modality of choice in the diagnosis, staging, treatment planning, and follow-up of patients with pancreatic tumors. However, approximately 11% of ductal adenocarcinomas still remain undetected at MDCT because of the lack of attenuation gradient between the lesion and the adjacent pancreatic parenchyma. In this systematic literature review we investigate the current evolution of the CT technique, limitations, and perspectives in the evaluation of pancreatic carcinoma.

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  • Standard abdominal CT scans have sensitivity ranging between 76% and 92% for diagnosing pancreatic cancer even in late stages.

    “Standard abdominal CT scans (“the pancreas protocol”) have sensitivity ranging between 76% and 92% for diagnosing pancreatic cancer even in late stages of the disease.204,205”

    From Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review (2021) · cites this paper as [205]

    The Background and Conclusion describe multidetector CT as a modality of choice for pancreatic-cancer diagnosis and say approximately 11% of adenocarcinomas remain undetected. Neither section gives a 76%–92% sensitivity range or establishes that range for late-stage disease; the Discussion addresses reduced accuracy after treatment instead. Page numbers are not available in our copy. (LLM, conf=0.84)

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Authors
Granata, V., Fusco, R., Catalano, O., Setola, S. V., de Lutio di Castelguidone, E., Piccirillo, M., Palaia, R., Grassi, R., Granata, F., Izzo, F., & Petrillo, A.
Affiliations
  • Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT)
  • University of Campania "Luigi Vanvitelli" (IT)
  • Università degli studi di Cassino e del Lazio Meridionale (IT)
Corresponding author
Fusco, Roberta
Venue
Infectious Agents and Cancer
Published
2016-11-15
Volume
11
Issue
1
Pages
57-57
ISSN
1750-9378 (ISSN-L)
OpenAlex
W2556778307
Cited by
44
References
0
Citations by year
2026: 1 · 2025: 3 · 2024: 3 · 2023: 9 · 2022: 5 · 2021: 7 · 2020: 7 · 2019: 3 · 2018: 4 · 2017: 2
FWCI
0.30
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Infectious Agents and Cancer (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Archivio Istituzionale della Ricerca - Università degli Studi di Cassino (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion)
Funders
National Cancer Institute
Topics
  • Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
Keywords
pancreatic ductal adenocarcinoma, multidetector computed tomography, pancreatic tumor detection, tumor characterization, tumor staging, treatment planning, follow-up imaging

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