Computer-Aided Detection for Pancreatic Cancer Diagnosis: Radiological Challenges and Future Directions

Radiological imaging plays a crucial role in the detection and treatment of pancreatic ductal adenocarcinoma (PDAC). However, there are several challenges associated with the use of these techniques in daily clinical practice. Determination of the presence or absence of cancer using radiological ima...

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Bibliographic Details
Published in:Journal of clinical medicine 2023-06, Vol.12 (13), p.4209
Main Authors: Ramaekers, Mark, Viviers, Christiaan G A, Janssen, Boris V, Hellström, Terese A E, Ewals, Lotte, van der Wulp, Kasper, Nederend, Joost, Jacobs, Igor, Pluyter, Jon R, Mavroeidis, Dimitrios, van der Sommen, Fons, Besselink, Marc G, Luyer, Misha D P
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Cancer therapies
Clinical medicine
Computer-aided medical diagnosis
Deep learning
Diagnosis
Diagnosis, Radioscopic
Disease
Hospitals
Machine learning
Magnetic resonance imaging
Medical imaging
Medical prognosis
Neural networks
Pancreatic cancer
Radiomics
Review
Surgery
Technology application
Tomography
Tumors
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Summary:Radiological imaging plays a crucial role in the detection and treatment of pancreatic ductal adenocarcinoma (PDAC). However, there are several challenges associated with the use of these techniques in daily clinical practice. Determination of the presence or absence of cancer using radiological imaging is difficult and requires specific expertise, especially after neoadjuvant therapy. Early detection and characterization of tumors would potentially increase the number of patients who are eligible for curative treatment. Over the last decades, artificial intelligence (AI)-based computer-aided detection (CAD) has rapidly evolved as a means for improving the radiological detection of cancer and the assessment of the extent of disease. Although the results of AI applications seem promising, widespread adoption in clinical practice has not taken place. This narrative review provides an overview of current radiological CAD systems in pancreatic cancer, highlights challenges that are pertinent to clinical practice, and discusses potential solutions for these challenges.
ISSN:2077-0383
2077-0383
DOI:10.3390/jcm12134209