Cargando…
Advances in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma and Premalignant Pancreatic Lesions
Pancreatic cancer is one of the most lethal human malignancies, in part because it is often diagnosed at late stages when surgery and systemic therapies are either unfeasible or ineffective. Therefore, diagnosing pancreatic cancer in earlier stages is important for effective treatment. However, beca...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296512/ https://www.ncbi.nlm.nih.gov/pubmed/37371782 http://dx.doi.org/10.3390/biomedicines11061687 |
_version_ | 1785063667874660352 |
---|---|
author | Yamada, Reiko Tsuboi, Junya Murashima, Yumi Tanaka, Takamitsu Nose, Kenji Nakagawa, Hayato |
author_facet | Yamada, Reiko Tsuboi, Junya Murashima, Yumi Tanaka, Takamitsu Nose, Kenji Nakagawa, Hayato |
author_sort | Yamada, Reiko |
collection | PubMed |
description | Pancreatic cancer is one of the most lethal human malignancies, in part because it is often diagnosed at late stages when surgery and systemic therapies are either unfeasible or ineffective. Therefore, diagnosing pancreatic cancer in earlier stages is important for effective treatment. However, because the signs and symptoms may be nonspecific and not apparent until the disease is at a late stage, the timely diagnoses of pancreatic cancer can be difficult to achieve. Recent studies have shown that selective screening and increased usage of biomarkers could improve the early diagnosis of pancreatic cancer. In this review, we discuss recent advancements in the early detection of pancreatic ductal carcinoma and precancerous lesions. These include innovations in imaging modalities, the diagnostic utility of various biomarkers, biopsy techniques, and population-based surveillance approaches. Additionally, we discuss how machine learning methods are being applied to develop integrated methods of identifying individuals at high risk of developing pancreatic disease. In the future, the overall survival of pancreatic cancer patients could be improved by the development and adoption of these new methods and techniques. |
format | Online Article Text |
id | pubmed-10296512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102965122023-06-28 Advances in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma and Premalignant Pancreatic Lesions Yamada, Reiko Tsuboi, Junya Murashima, Yumi Tanaka, Takamitsu Nose, Kenji Nakagawa, Hayato Biomedicines Review Pancreatic cancer is one of the most lethal human malignancies, in part because it is often diagnosed at late stages when surgery and systemic therapies are either unfeasible or ineffective. Therefore, diagnosing pancreatic cancer in earlier stages is important for effective treatment. However, because the signs and symptoms may be nonspecific and not apparent until the disease is at a late stage, the timely diagnoses of pancreatic cancer can be difficult to achieve. Recent studies have shown that selective screening and increased usage of biomarkers could improve the early diagnosis of pancreatic cancer. In this review, we discuss recent advancements in the early detection of pancreatic ductal carcinoma and precancerous lesions. These include innovations in imaging modalities, the diagnostic utility of various biomarkers, biopsy techniques, and population-based surveillance approaches. Additionally, we discuss how machine learning methods are being applied to develop integrated methods of identifying individuals at high risk of developing pancreatic disease. In the future, the overall survival of pancreatic cancer patients could be improved by the development and adoption of these new methods and techniques. MDPI 2023-06-11 /pmc/articles/PMC10296512/ /pubmed/37371782 http://dx.doi.org/10.3390/biomedicines11061687 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Yamada, Reiko Tsuboi, Junya Murashima, Yumi Tanaka, Takamitsu Nose, Kenji Nakagawa, Hayato Advances in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma and Premalignant Pancreatic Lesions |
title | Advances in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma and Premalignant Pancreatic Lesions |
title_full | Advances in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma and Premalignant Pancreatic Lesions |
title_fullStr | Advances in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma and Premalignant Pancreatic Lesions |
title_full_unstemmed | Advances in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma and Premalignant Pancreatic Lesions |
title_short | Advances in the Early Diagnosis of Pancreatic Ductal Adenocarcinoma and Premalignant Pancreatic Lesions |
title_sort | advances in the early diagnosis of pancreatic ductal adenocarcinoma and premalignant pancreatic lesions |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296512/ https://www.ncbi.nlm.nih.gov/pubmed/37371782 http://dx.doi.org/10.3390/biomedicines11061687 |
work_keys_str_mv | AT yamadareiko advancesintheearlydiagnosisofpancreaticductaladenocarcinomaandpremalignantpancreaticlesions AT tsuboijunya advancesintheearlydiagnosisofpancreaticductaladenocarcinomaandpremalignantpancreaticlesions AT murashimayumi advancesintheearlydiagnosisofpancreaticductaladenocarcinomaandpremalignantpancreaticlesions AT tanakatakamitsu advancesintheearlydiagnosisofpancreaticductaladenocarcinomaandpremalignantpancreaticlesions AT nosekenji advancesintheearlydiagnosisofpancreaticductaladenocarcinomaandpremalignantpancreaticlesions AT nakagawahayato advancesintheearlydiagnosisofpancreaticductaladenocarcinomaandpremalignantpancreaticlesions |