Literature DB >> 32675784

Prediagnostic Image Data, Artificial Intelligence, and Pancreatic Cancer: A Tell-Tale Sign to Early Detection.

Matthew R Young1, Natalie Abrams, Sharmistha Ghosh, Jo Ann S Rinaudo, Guillermo Marquez, Sudhir Srivastava.   

Abstract

Pancreatic cancer continues to be one of the deadliest malignancies and is the third leading cause of cancer-related mortality in the United States. Based on several models, it is projected to become the second leading cause of cancer-related deaths by 2030. Although the overall survival rate for patients diagnosed with pancreatic cancer is less than 10%, survival rates are increasing in those whose cancers are detected at an early stage, when intervention is possible. There are, however, no reliable biomarkers or imaging technology that can detect early-stage pancreatic cancer or accurately identify precursors that are likely to progress to malignancy. The Alliance of Pancreatic Cancer Consortia, a virtual consortium of researchers, clinicians, and advocacies focused on early diagnosis of pancreatic cancer, was formed in 2016 to provide a platform and resources to discover and validate biomarkers and imaging methods for early detection. The focus of discussion at the most recent alliance meeting was on imaging methods and the use of artificial intelligence for early detection of pancreatic cancer.

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Year:  2020        PMID: 32675784     DOI: 10.1097/MPA.0000000000001603

Source DB:  PubMed          Journal:  Pancreas        ISSN: 0885-3177            Impact factor:   3.327


  4 in total

Review 1.  Early Detection of Pancreatic Cancer: Applying Artificial Intelligence to Electronic Health Records.

Authors:  Barbara J Kenner; Natalie D Abrams; Suresh T Chari; Bruce F Field; Ann E Goldberg; William A Hoos; David S Klimstra; Laura J Rothschild; Sudhir Srivastava; Matthew R Young; Vay Liang W Go
Journal:  Pancreas       Date:  2021-08-01       Impact factor: 3.243

2.  Machine-Learning-Based Bibliometric Analysis of Pancreatic Cancer Research Over the Past 25 Years.

Authors:  Kangtao Wang; Ingrid Herr
Journal:  Front Oncol       Date:  2022-03-28       Impact factor: 6.244

Review 3.  Application of artificial intelligence to pancreatic adenocarcinoma.

Authors:  Xi Chen; Ruibiao Fu; Qian Shao; Yan Chen; Qinghuang Ye; Sheng Li; Xiongxiong He; Jinhui Zhu
Journal:  Front Oncol       Date:  2022-07-22       Impact factor: 5.738

Review 4.  Early diagnosis of pancreatic cancer: What strategies to avoid a foretold catastrophe.

Authors:  Valeria Tonini; Manuel Zanni
Journal:  World J Gastroenterol       Date:  2022-08-21       Impact factor: 5.374

  4 in total

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