A multimodality test to guide the management of patients with a pancreatic cyst.
Journal
Science translational medicine
ISSN: 1946-6242
Titre abrégé: Sci Transl Med
Pays: United States
ID NLM: 101505086
Informations de publication
Date de publication:
17 07 2019
17 07 2019
Historique:
received:
21
09
2018
revised:
07
01
2019
accepted:
24
06
2019
entrez:
19
7
2019
pubmed:
19
7
2019
medline:
28
7
2020
Statut:
ppublish
Résumé
Pancreatic cysts are common and often pose a management dilemma, because some cysts are precancerous, whereas others have little risk of developing into invasive cancers. We used supervised machine learning techniques to develop a comprehensive test, CompCyst, to guide the management of patients with pancreatic cysts. The test is based on selected clinical features, imaging characteristics, and cyst fluid genetic and biochemical markers. Using data from 436 patients with pancreatic cysts, we trained CompCyst to classify patients as those who required surgery, those who should be routinely monitored, and those who did not require further surveillance. We then tested CompCyst in an independent cohort of 426 patients, with histopathology used as the gold standard. We found that clinical management informed by the CompCyst test was more accurate than the management dictated by conventional clinical and imaging criteria alone. Application of the CompCyst test would have spared surgery in more than half of the patients who underwent unnecessary resection of their cysts. CompCyst therefore has the potential to reduce the patient morbidity and economic costs associated with current standard-of-care pancreatic cyst management practices.
Identifiants
pubmed: 31316009
pii: 11/501/eaav4772
doi: 10.1126/scitranslmed.aav4772
pmc: PMC7859881
mid: NIHMS1068904
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIGMS NIH HHS
ID : T32 GM136577
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA176828
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA062924
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA210170
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
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