Prospective of Pancreatic Cancer Diagnosis Using Cardiac Sensing.
Mansunderbir SinghPriyanka AnvekarBhavana BaraskarNamratha PallipamuSrikanth GadamAkhila Sai Sree CherukuriDevanshi Narendra DamaniKanchan KulkarniShivaram P ArunachalamPublished in: Journal of imaging (2023)
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.
Keyphrases
- magnetic resonance imaging
- artificial intelligence
- computed tomography
- contrast enhanced
- early stage
- ultrasound guided
- heart failure
- machine learning
- mass spectrometry
- big data
- protein kinase
- atrial fibrillation
- dual energy
- signaling pathway
- lymph node metastasis
- left ventricular
- squamous cell carcinoma
- gene expression
- image quality
- genome wide
- copy number
- diffusion weighted imaging
- epithelial mesenchymal transition
- pi k akt
- cognitive decline
- magnetic resonance
- label free
- transforming growth factor
- sentinel lymph node
- metabolic syndrome
- pet ct
- fine needle aspiration
- fluorescence imaging
- skeletal muscle
- binding protein