Computer-Aided Diagnosis for Leaving Colorectal Polyps In Situ : A Systematic Review and Meta-analysis.
Journal
Annals of internal medicine
ISSN: 1539-3704
Titre abrégé: Ann Intern Med
Pays: United States
ID NLM: 0372351
Informations de publication
Date de publication:
21 May 2024
21 May 2024
Historique:
medline:
20
5
2024
pubmed:
20
5
2024
entrez:
20
5
2024
Statut:
aheadofprint
Résumé
Computer-aided diagnosis (CADx) allows prediction of polyp histology during colonoscopy, which may reduce unnecessary removal of nonneoplastic polyps. However, the potential benefits and harms of CADx are still unclear. To quantify the benefit and harm of using CADx in colonoscopy for the optical diagnosis of small (≤5-mm) rectosigmoid polyps. Medline, Embase, and Scopus were searched for articles published before 22 December 2023. Histologically verified diagnostic accuracy studies that evaluated the real-time performance of physicians in predicting neoplastic change of small rectosigmoid polyps without or with CADx assistance during colonoscopy. The clinical benefit and harm were estimated on the basis of accuracy values of the endoscopist before and after CADx assistance. The certainty of evidence was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) framework. The outcome measure for benefit was the proportion of polyps predicted to be nonneoplastic that would avoid removal with the use of CADx. The outcome measure for harm was the proportion of neoplastic polyps that would be not resected and left in situ due to an incorrect diagnosis with the use of CADx. Histology served as the reference standard for both outcomes. Ten studies, including 3620 patients with 4103 small rectosigmoid polyps, were analyzed. The studies that assessed the performance of CADx alone (9 studies; 3237 polyps) showed a sensitivity of 87.3% (95% CI, 79.2% to 92.5%) and specificity of 88.9% (CI, 81.7% to 93.5%) in predicting neoplastic change. In the studies that compared histology prediction performance before versus after CADx assistance (4 studies; 2503 polyps), there was no difference in the proportion of polyps predicted to be nonneoplastic that would avoid removal (55.4% vs. 58.4%; risk ratio [RR], 1.06 [CI, 0.96 to 1.17]; moderate-certainty evidence) or in the proportion of neoplastic polyps that would be erroneously left in situ (8.2% vs. 7.5%; RR, 0.95 [CI, 0.69 to 1.33]; moderate-certainty evidence). The application of optical diagnosis was only simulated, potentially altering the decision-making process of the operator. Computer-aided diagnosis provided no incremental benefit or harm in the management of small rectosigmoid polyps during colonoscopy. European Commission. (PROSPERO: CRD42023402197).
Sections du résumé
BACKGROUND
UNASSIGNED
Computer-aided diagnosis (CADx) allows prediction of polyp histology during colonoscopy, which may reduce unnecessary removal of nonneoplastic polyps. However, the potential benefits and harms of CADx are still unclear.
PURPOSE
UNASSIGNED
To quantify the benefit and harm of using CADx in colonoscopy for the optical diagnosis of small (≤5-mm) rectosigmoid polyps.
DATA SOURCES
UNASSIGNED
Medline, Embase, and Scopus were searched for articles published before 22 December 2023.
STUDY SELECTION
UNASSIGNED
Histologically verified diagnostic accuracy studies that evaluated the real-time performance of physicians in predicting neoplastic change of small rectosigmoid polyps without or with CADx assistance during colonoscopy.
DATA EXTRACTION
UNASSIGNED
The clinical benefit and harm were estimated on the basis of accuracy values of the endoscopist before and after CADx assistance. The certainty of evidence was assessed using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) framework. The outcome measure for benefit was the proportion of polyps predicted to be nonneoplastic that would avoid removal with the use of CADx. The outcome measure for harm was the proportion of neoplastic polyps that would be not resected and left in situ due to an incorrect diagnosis with the use of CADx. Histology served as the reference standard for both outcomes.
DATA SYNTHESIS
UNASSIGNED
Ten studies, including 3620 patients with 4103 small rectosigmoid polyps, were analyzed. The studies that assessed the performance of CADx alone (9 studies; 3237 polyps) showed a sensitivity of 87.3% (95% CI, 79.2% to 92.5%) and specificity of 88.9% (CI, 81.7% to 93.5%) in predicting neoplastic change. In the studies that compared histology prediction performance before versus after CADx assistance (4 studies; 2503 polyps), there was no difference in the proportion of polyps predicted to be nonneoplastic that would avoid removal (55.4% vs. 58.4%; risk ratio [RR], 1.06 [CI, 0.96 to 1.17]; moderate-certainty evidence) or in the proportion of neoplastic polyps that would be erroneously left in situ (8.2% vs. 7.5%; RR, 0.95 [CI, 0.69 to 1.33]; moderate-certainty evidence).
LIMITATION
UNASSIGNED
The application of optical diagnosis was only simulated, potentially altering the decision-making process of the operator.
CONCLUSION
UNASSIGNED
Computer-aided diagnosis provided no incremental benefit or harm in the management of small rectosigmoid polyps during colonoscopy.
PRIMARY FUNDING SOURCE
UNASSIGNED
European Commission. (PROSPERO: CRD42023402197).
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Investigateurs
Roberta Maselli
(R)
Silvia Carrara
(S)
Alessandro Fugazza
(A)
Antonio Capogreco
(A)
Maddalena Menini
(M)
Davide Massimi
(D)
Kazumi Takishima
(K)
Kenichi Mochizuki
(K)
Yuki Miyata
(Y)
Kentaro Mochida
(K)
Yoshika Akimoto
(Y)
Takanori Kuroki
(T)
Yuriko Morita
(Y)
Osamu Shiina
(O)
Shun Kato
(S)
Ishita Barua
(I)
Øyvind Holme
(Ø)
Paulina Wieszczy
(P)
Magnus Løberg
(M)
Mette Kalager
(M)
Shraddha Gulati
(S)
Sophie Williams
(S)
Bu Hayee
(B)
Mehul Patel
(M)
Nishmi Gunasingam
(N)
Alexandra Kent
(A)
Andrew Emmanuel
(A)
Amyn Haji
(A)
Hayato Itoh
(H)
Kensaku Mori
(K)
Tetsuo Nemoto
(T)
Carl Munck
(C)
Jens Aksel Nilsen
(JA)
Stine Astrup Hvattum
(SA)
Svein Oskar Frigstad
(SO)
Petter Tandberg
(P)
Davide Lanza
(D)
Giacomo Bonanno
(G)