Prospective of Pancreatic Cancer Diagnosis Using Cardiac Sensing

Author:

Singh Mansunderbir1,Anvekar Priyanka2,Baraskar Bhavana1,Pallipamu Namratha1,Gadam Srikanth1,Cherukuri Akhila Sai Sree34,Damani Devanshi N.56ORCID,Kulkarni Kanchan78ORCID,Arunachalam Shivaram P.1349ORCID

Affiliation:

1. Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA

2. Department of Medicine, Division of Infectious Diseases, Mayo Clinic, Rochester, MN 55905, USA

3. GIH Artificial Intelligence Laboratory (GAIL), Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA

4. Microwave Engineering and Imaging Laboratory (MEIL), Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA

5. Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA

6. Department of Internal Medicine, Texas Tech University Health Science Center, El Paso, TX 79995, USA

7. Centre de Recherche Cardio-Thoracique de Bordeaux, University of Bordeaux, INSERM, U1045, 33000 Bordeaux, France

8. IHU Liryc, Heart Rhythm Disease Institute, Fondation Bordeaux Université, 33600 Bordeaux, France

9. Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA

Abstract

Pancreatic carcinoma (Ca Pancreas) is the third leading cause of cancer-related deaths in the world. The malignancies of the pancreas can be diagnosed with the help of various imaging modalities. An endoscopic ultrasound with a tissue biopsy is so far considered to be the gold standard in terms of the detection of Ca Pancreas, especially for lesions <2 mm. However, other methods, like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), are also conventionally used. Moreover, newer techniques, like proteomics, radiomics, metabolomics, and artificial intelligence (AI), are slowly being introduced for diagnosing pancreatic cancer. Regardless, it is still a challenge to diagnose pancreatic carcinoma non-invasively at an early stage due to its delayed presentation. Similarly, this also makes it difficult to demonstrate an association between Ca Pancreas and other vital organs of the body, such as the heart. A number of studies have proven a correlation between the heart and pancreatic cancer. The tumor of the pancreas affects the heart at the physiological, as well as the molecular, level. An overexpression of the SMAD4 gene; a disruption in biomolecules, such as IGF, MAPK, and ApoE; and increased CA19-9 markers are a few of the many factors that are noted to affect cardiovascular systems with pancreatic malignancies. A comprehensive review of this correlation will aid researchers in conducting studies to help establish a definite relation between the two organs and discover ways to use it for the early detection of Ca Pancreas.

Funder

Advanced Analytics and Practice Innovation unit for Artificial Intelligence and Informatics research within the Department of Medicine, Mayo Clinic, Rochester, MN USA

GIH Division for the GIH Artificial Intelligence Laboratory (GAIL) and Microwave Engineering and Imaging Laboratory (MEIL), Department of Medicine, Mayo Clinic, Rochester, MN USA

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging

Reference108 articles.

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5. Rehman, I., and Rehman, A. (2022, August 29). Anatomy, Thorax, Heart, StatPearls, Available online: https://www.ncbi.nlm.nih.gov/books/NBK470256/.

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