Multidetector computer tomography in the pancreatic adenocarcinoma assessment: an update
Open accessAbstract
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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Cited by
Sorted by citations
Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review
Kenner, B., Chari, S. T., Kelsen, D., Klimstra, D. S., Pandol, S. J., Rosenthal, M., Rustgi, A. K., Taylor, J. A., Yala, A., Abul-Husn, N., et al. (2021) · Pancreas · doi:10.1097/mpa.0000000000001762 · Cited by 158 · see citing works
- 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
- ORCID
- Venue
- Infectious Agents and Cancer
- Published
- 2016-11-15
- Volume
- 11
- Issue
- 1
- Pages
- 57-57
- ISSN
- 1750-9378 (ISSN-L)
- PMC
- PMC5111267
- 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
- gold
- doi.org
- 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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