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Reliability of Kudo’s Glandular Pit Pattern in Predicting Colorectal Lesion Histology at Routine Colonoscopy with Digital Chromoendoscopy
by
Cavestro, Giulia Martina
, Notaristefano, Chiara
, Viale, Edi
, Testoni, Pier Alberto
, Testoni, Sabrina Gloria Giulia
in
Accuracy
/ Artificial intelligence
/ Classification
/ Colonoscopy
/ Colorectal cancer
/ Cost control
/ diagnostic accuracy in diminutive, small, and large colorectal lesions
/ Endoscopy
/ Histology
/ Kudo’s classification of glandular pit pattern
/ Lesions
/ Medical screening
/ negative predictive value (NPV) for adenomatous histology
/ Polyps
/ routine colonoscopy with digital chromoendoscopy
/ Software
/ Surveillance
/ Tumors
2024
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Reliability of Kudo’s Glandular Pit Pattern in Predicting Colorectal Lesion Histology at Routine Colonoscopy with Digital Chromoendoscopy
by
Cavestro, Giulia Martina
, Notaristefano, Chiara
, Viale, Edi
, Testoni, Pier Alberto
, Testoni, Sabrina Gloria Giulia
in
Accuracy
/ Artificial intelligence
/ Classification
/ Colonoscopy
/ Colorectal cancer
/ Cost control
/ diagnostic accuracy in diminutive, small, and large colorectal lesions
/ Endoscopy
/ Histology
/ Kudo’s classification of glandular pit pattern
/ Lesions
/ Medical screening
/ negative predictive value (NPV) for adenomatous histology
/ Polyps
/ routine colonoscopy with digital chromoendoscopy
/ Software
/ Surveillance
/ Tumors
2024
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Reliability of Kudo’s Glandular Pit Pattern in Predicting Colorectal Lesion Histology at Routine Colonoscopy with Digital Chromoendoscopy
by
Cavestro, Giulia Martina
, Notaristefano, Chiara
, Viale, Edi
, Testoni, Pier Alberto
, Testoni, Sabrina Gloria Giulia
in
Accuracy
/ Artificial intelligence
/ Classification
/ Colonoscopy
/ Colorectal cancer
/ Cost control
/ diagnostic accuracy in diminutive, small, and large colorectal lesions
/ Endoscopy
/ Histology
/ Kudo’s classification of glandular pit pattern
/ Lesions
/ Medical screening
/ negative predictive value (NPV) for adenomatous histology
/ Polyps
/ routine colonoscopy with digital chromoendoscopy
/ Software
/ Surveillance
/ Tumors
2024
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Reliability of Kudo’s Glandular Pit Pattern in Predicting Colorectal Lesion Histology at Routine Colonoscopy with Digital Chromoendoscopy
Journal Article
Reliability of Kudo’s Glandular Pit Pattern in Predicting Colorectal Lesion Histology at Routine Colonoscopy with Digital Chromoendoscopy
2024
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Overview
Background. The large number of lesions detected via high-definition (HD) imaging during colonoscopy calls for the reliable real-time histological characterization of polyps, especially diminutive and small ones, to permit tailored management based on the neoplastic risk, such as a “resect-and-discard” or a “diagnose-and-leave” strategy for low-risk adenomas and hyperplastic polyps (HPs). The Kudo classification of glandular pit pattern is currently used for predicting polyp histology. Aim. The aim in this study was to assess whether Kudo’s glandular pit pattern, assessed via HD digital chromoendoscopy (i-Scan) without magnification and optical enhancement, reliably predicts polyp histology and differentiates neoplastic lesions (NLs) from non-neoplastic lesions (non-NLs) during routine colonoscopy. Methods. Consecutive colorectal lesions recorded in a database over 12 months, with Kudo’s glandular pit pattern classification, were retrospectively compared with histology. The diagnostic accuracy and negative predictive value (NPV) for adenomatous histology of Kudo’s pit patterns were assessed separately for diminutive (≤5 mm) and small (6–9 mm) polyps, accordingly to the American Society for Gastrointestinal Endoscopy (ASGE) Preservation and Incorporation of Valuable Endoscopic Innovations (PIVI), and in large (≥10 mm) lesions. Results. A total of 2230 lesions were recorded: 898 diminutive, 704 small, and 628 large. Kudo’s type II pit pattern was prevalent in diminutive polyps and recognized mostly in HPs (83.27%); it was also found in 38.8% of adenomas. In the right colon, Kudo’s type II pit pattern was prevalent in adenomas (70.04% vs. 20.74% in HPs); among the serrated lesions, it was evenly distributed between HPs and adenomas. Kudo’s type IIIL/IIIs/IV pit pattern was prevalent in NLs (61% vs. 8.37% of non-NLs) in diminutive polyps, evenly distributed between non-NLs and NLs in small polyps, and found only in NLs in large polyps. Kudo’s type Vi/Vn pit pattern correctly identified all but one adenocarcinoma. The NPV for adenomatous histology did not reach the recommended 90% PIVI threshold for differentiation between NLs and non-NLs in diminutive polyps showing Kudo’s type II pit pattern and in small polyps showing type IIIL/IIIs/IV pit pattern. Conclusions. Kudo’s pit pattern classification carried out with digital chromoendoscopy (i-Scan) during routine colonoscopy does not allow the reliable differentiation between non-NLs and NLs in diminutive and small polyps, so a “diagnose-and-leave” strategy for diminutive polyps may leave undetected adenomas, while a “resect-and-discard” strategy could miss lesions requiring closer follow-up.
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