Matches in SemOpenAlex for { <https://semopenalex.org/work/W4317863147> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4317863147 endingPage "24" @default.
- W4317863147 startingPage "24" @default.
- W4317863147 abstract "24 Background: Deficient mismatch repair (or microsatellite instability) is a major predictive biomarker for the efficacy of immune checkpoint inhibitors of colorectal cancer. However, routine testing is time-consuming and incur substantial costs. We developed and validated a deep learning-based classifiers (MMR-Scopy) to detect mismatch repair-deficient status from routine colonoscopy images. Methods: We retrospectively obtained the colonoscopy images from the imaging database at Endoscopic Center of the Sixth Affiliated Hospital of Sun Yat-sen University. Colorectal cancer images from patients that had undergone colonoscopy procedures, surgery and the mismatch repair immunohistochemistry test were eligible for this study. Colonoscopy images from a prospective trial (Neoadjuvant PD-1 blockade by toripalimab with or without celecoxib in mismatch repair-deficient or microsatellite instability-high locally advanced colorectal cancer, PICC) were used to test MMR-Scopy. The primary outcome was dMMR status. The primary performance metrics were accuracy, negative predictive value (NPV), and area under the receiver operating characteristic curve (AUROC). Results: A total of 5226 eligible images from 892 tumors from the consecutive patients were utilized to develop and validate the deep learning model. 2105 CRC images from 306 tumors were randomly selected to form model development dataset with a class-balanced approach. 3121 images of 488 pMMR tumors and 98 dMMR tumors were used to form the independent dataset. The MMR-Scopy model achieved an AUROC of 0.948 (95% CI 0.919- 0.977) on the test dataset. On the independent validation dataset, the AUROC was 0.807 (0.760- 0.854), and the NPV in was 94.2% (95% CI 0.918-0.967). On the PICC dataset, the model identified 29 tumors among the 33 dMMR tumors (87.88%). Conclusions: MMR-Scopy achieved a high NPV in detecting dMMR colorectal cancers. This model might serve as an automatic screening tool, one that might potentially assist doctors in determining a new treatment strategy. [Table: see text]" @default.
- W4317863147 created "2023-01-25" @default.
- W4317863147 creator A5002540688 @default.
- W4317863147 creator A5005388151 @default.
- W4317863147 creator A5010397554 @default.
- W4317863147 creator A5014215331 @default.
- W4317863147 creator A5030907892 @default.
- W4317863147 creator A5032280335 @default.
- W4317863147 creator A5036265210 @default.
- W4317863147 creator A5036273689 @default.
- W4317863147 creator A5045919942 @default.
- W4317863147 creator A5050230136 @default.
- W4317863147 creator A5055838753 @default.
- W4317863147 creator A5059904093 @default.
- W4317863147 creator A5063627266 @default.
- W4317863147 creator A5071037763 @default.
- W4317863147 creator A5074091664 @default.
- W4317863147 date "2023-02-01" @default.
- W4317863147 modified "2023-10-18" @default.
- W4317863147 title "Deep learning–assisted colonoscopy images for prediction of mismatch repair deficiency in colorectal cancer." @default.
- W4317863147 doi "https://doi.org/10.1200/jco.2023.41.4_suppl.24" @default.
- W4317863147 hasPublicationYear "2023" @default.
- W4317863147 type Work @default.
- W4317863147 citedByCount "0" @default.
- W4317863147 crossrefType "journal-article" @default.
- W4317863147 hasAuthorship W4317863147A5002540688 @default.
- W4317863147 hasAuthorship W4317863147A5005388151 @default.
- W4317863147 hasAuthorship W4317863147A5010397554 @default.
- W4317863147 hasAuthorship W4317863147A5014215331 @default.
- W4317863147 hasAuthorship W4317863147A5030907892 @default.
- W4317863147 hasAuthorship W4317863147A5032280335 @default.
- W4317863147 hasAuthorship W4317863147A5036265210 @default.
- W4317863147 hasAuthorship W4317863147A5036273689 @default.
- W4317863147 hasAuthorship W4317863147A5045919942 @default.
- W4317863147 hasAuthorship W4317863147A5050230136 @default.
- W4317863147 hasAuthorship W4317863147A5055838753 @default.
- W4317863147 hasAuthorship W4317863147A5059904093 @default.
- W4317863147 hasAuthorship W4317863147A5063627266 @default.
- W4317863147 hasAuthorship W4317863147A5071037763 @default.
- W4317863147 hasAuthorship W4317863147A5074091664 @default.
- W4317863147 hasConcept C104317684 @default.
- W4317863147 hasConcept C121608353 @default.
- W4317863147 hasConcept C126322002 @default.
- W4317863147 hasConcept C126838900 @default.
- W4317863147 hasConcept C143998085 @default.
- W4317863147 hasConcept C180754005 @default.
- W4317863147 hasConcept C185592680 @default.
- W4317863147 hasConcept C2778435480 @default.
- W4317863147 hasConcept C2779767149 @default.
- W4317863147 hasConcept C2781197716 @default.
- W4317863147 hasConcept C526805850 @default.
- W4317863147 hasConcept C55493867 @default.
- W4317863147 hasConcept C58471807 @default.
- W4317863147 hasConcept C60748783 @default.
- W4317863147 hasConcept C61320498 @default.
- W4317863147 hasConcept C71924100 @default.
- W4317863147 hasConceptScore W4317863147C104317684 @default.
- W4317863147 hasConceptScore W4317863147C121608353 @default.
- W4317863147 hasConceptScore W4317863147C126322002 @default.
- W4317863147 hasConceptScore W4317863147C126838900 @default.
- W4317863147 hasConceptScore W4317863147C143998085 @default.
- W4317863147 hasConceptScore W4317863147C180754005 @default.
- W4317863147 hasConceptScore W4317863147C185592680 @default.
- W4317863147 hasConceptScore W4317863147C2778435480 @default.
- W4317863147 hasConceptScore W4317863147C2779767149 @default.
- W4317863147 hasConceptScore W4317863147C2781197716 @default.
- W4317863147 hasConceptScore W4317863147C526805850 @default.
- W4317863147 hasConceptScore W4317863147C55493867 @default.
- W4317863147 hasConceptScore W4317863147C58471807 @default.
- W4317863147 hasConceptScore W4317863147C60748783 @default.
- W4317863147 hasConceptScore W4317863147C61320498 @default.
- W4317863147 hasConceptScore W4317863147C71924100 @default.
- W4317863147 hasIssue "4_suppl" @default.
- W4317863147 hasLocation W43178631471 @default.
- W4317863147 hasOpenAccess W4317863147 @default.
- W4317863147 hasPrimaryLocation W43178631471 @default.
- W4317863147 hasRelatedWork W2216182644 @default.
- W4317863147 hasRelatedWork W2332930504 @default.
- W4317863147 hasRelatedWork W2396266124 @default.
- W4317863147 hasRelatedWork W2472795687 @default.
- W4317863147 hasRelatedWork W2603025908 @default.
- W4317863147 hasRelatedWork W2911032670 @default.
- W4317863147 hasRelatedWork W3040911471 @default.
- W4317863147 hasRelatedWork W3111191926 @default.
- W4317863147 hasRelatedWork W3206999910 @default.
- W4317863147 hasRelatedWork W3210186410 @default.
- W4317863147 hasVolume "41" @default.
- W4317863147 isParatext "false" @default.
- W4317863147 isRetracted "false" @default.
- W4317863147 workType "article" @default.