Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail?
Pancreatic cancer is a highly lethal disease associated with significant morbidity and mortality. In the United States (US), the overall 5-year relative survival rate for pancreatic cancer during the 2012–2018 period was 11.5%. However, the cancer stage at diagnosis strongly influences relative surv...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
|
| Series: | Journal of Clinical Medicine |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0383/11/24/7476 |
| _version_ | 1797457099436851200 |
|---|---|
| author | Dushyant Singh Dahiya Mohammad Al-Haddad Saurabh Chandan Manesh Kumar Gangwani Muhammad Aziz Babu P. Mohan Daryl Ramai Andrew Canakis Jay Bapaye Neil Sharma |
| author_facet | Dushyant Singh Dahiya Mohammad Al-Haddad Saurabh Chandan Manesh Kumar Gangwani Muhammad Aziz Babu P. Mohan Daryl Ramai Andrew Canakis Jay Bapaye Neil Sharma |
| author_sort | Dushyant Singh Dahiya |
| collection | DOAJ |
| description | Pancreatic cancer is a highly lethal disease associated with significant morbidity and mortality. In the United States (US), the overall 5-year relative survival rate for pancreatic cancer during the 2012–2018 period was 11.5%. However, the cancer stage at diagnosis strongly influences relative survival in these patients. Per the National Cancer Institute (NCI) statistics for 2012–2018, the 5-year relative survival rate for patients with localized disease was 43.9%, while it was 3.1% for patients with distant metastasis. The poor survival rates are primarily due to the late development of clinical signs and symptoms. Hence, early diagnosis is critical in improving treatment outcomes. In recent years, artificial intelligence (AI) has gained immense popularity in gastroenterology. AI-assisted endoscopic ultrasound (EUS) models have been touted as a breakthrough in the early detection of pancreatic cancer. These models may also accurately differentiate pancreatic cancer from chronic pancreatitis and autoimmune pancreatitis, which mimics pancreatic cancer on radiological imaging. In this review, we detail the application of AI-assisted EUS models for pancreatic cancer detection. We also highlight the utility of AI-assisted EUS models in differentiating pancreatic cancer from radiological mimickers. Furthermore, we discuss the current limitations and future applications of AI technology in EUS for pancreatic cancers. |
| first_indexed | 2024-03-09T16:16:21Z |
| format | Article |
| id | doaj.art-ef88f337ee67434eb0ae2d05a228efa3 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-09T16:16:21Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-ef88f337ee67434eb0ae2d05a228efa32023-11-24T15:46:16ZengMDPI AGJournal of Clinical Medicine2077-03832022-12-011124747610.3390/jcm11247476Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail?Dushyant Singh Dahiya0Mohammad Al-Haddad1Saurabh Chandan2Manesh Kumar Gangwani3Muhammad Aziz4Babu P. Mohan5Daryl Ramai6Andrew Canakis7Jay Bapaye8Neil Sharma9Department of Internal Medicine, Central Michigan University College of Medicine, Saginaw, MI 48601, USADivision of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN 46202, USADivision of Gastroenterology and Hepatology, CHI Creighton University Medical Center, Omaha, NE 68131, USADepartment of Internal Medicine, The University of Toledo Medical Center, Toledo, OH 43614, USADepartment of Gastroenterology, The University of Toledo Medical Center, Toledo, OH 43614, USADivision of Gastroenterology and Hepatology, University of Utah School of Medicine, Salt Lake City, UT 84132, USADivision of Gastroenterology and Hepatology, University of Utah School of Medicine, Salt Lake City, UT 84132, USADivision of Gastroenterology and Hepatology, University of Maryland School of Medicine, Baltimore, MD 21201, USADepartment of Internal Medicine, Rochester General Hospital, Rochester, NY 14621, USADivision of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN 46202, USAPancreatic cancer is a highly lethal disease associated with significant morbidity and mortality. In the United States (US), the overall 5-year relative survival rate for pancreatic cancer during the 2012–2018 period was 11.5%. However, the cancer stage at diagnosis strongly influences relative survival in these patients. Per the National Cancer Institute (NCI) statistics for 2012–2018, the 5-year relative survival rate for patients with localized disease was 43.9%, while it was 3.1% for patients with distant metastasis. The poor survival rates are primarily due to the late development of clinical signs and symptoms. Hence, early diagnosis is critical in improving treatment outcomes. In recent years, artificial intelligence (AI) has gained immense popularity in gastroenterology. AI-assisted endoscopic ultrasound (EUS) models have been touted as a breakthrough in the early detection of pancreatic cancer. These models may also accurately differentiate pancreatic cancer from chronic pancreatitis and autoimmune pancreatitis, which mimics pancreatic cancer on radiological imaging. In this review, we detail the application of AI-assisted EUS models for pancreatic cancer detection. We also highlight the utility of AI-assisted EUS models in differentiating pancreatic cancer from radiological mimickers. Furthermore, we discuss the current limitations and future applications of AI technology in EUS for pancreatic cancers.https://www.mdpi.com/2077-0383/11/24/7476artificial intelligenceendoscopic ultrasoundpancreatic cancerchronic pancreatitisautoimmune pancreatitis |
| spellingShingle | Dushyant Singh Dahiya Mohammad Al-Haddad Saurabh Chandan Manesh Kumar Gangwani Muhammad Aziz Babu P. Mohan Daryl Ramai Andrew Canakis Jay Bapaye Neil Sharma Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail? Journal of Clinical Medicine artificial intelligence endoscopic ultrasound pancreatic cancer chronic pancreatitis autoimmune pancreatitis |
| title | Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail? |
| title_full | Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail? |
| title_fullStr | Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail? |
| title_full_unstemmed | Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail? |
| title_short | Artificial Intelligence in Endoscopic Ultrasound for Pancreatic Cancer: Where Are We Now and What Does the Future Entail? |
| title_sort | artificial intelligence in endoscopic ultrasound for pancreatic cancer where are we now and what does the future entail |
| topic | artificial intelligence endoscopic ultrasound pancreatic cancer chronic pancreatitis autoimmune pancreatitis |
| url | https://www.mdpi.com/2077-0383/11/24/7476 |
| work_keys_str_mv | AT dushyantsinghdahiya artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT mohammadalhaddad artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT saurabhchandan artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT maneshkumargangwani artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT muhammadaziz artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT babupmohan artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT darylramai artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT andrewcanakis artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT jaybapaye artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail AT neilsharma artificialintelligenceinendoscopicultrasoundforpancreaticcancerwherearewenowandwhatdoesthefutureentail |