Annals of Coloproctology

Reviews

Benign bowel disease

Multimodal prerehabilitation for elderly patients with sarcopenia in colorectal surgery: Jingting Wu, Hannah Chi, Shawn Kok, Jason M.W. Chua, Xi-Xiao Huang, Shipin Zhang, Shimin Mah, Li-Xin Foo, Hui-Yee Peh, Hui-Bing Lee, Phoebe Tay, Cherie Tong, Jasmine Ladlad, Cheryl H.M. Tan, Nathanelle Khoo, Darius Aw, Cheryl X.Z. Chong, Leonard M.L. Ho, Sharmini S. Sivarajah, Jialin Ng, Winson J.H. Tan, Fung-Joon Foo, Bin-Tean Teh, Frederick H. Koh; Ann Coloproctol. 2024;40(1):3-12. Published online March 31, 2023; DOI: https://doi.org/10.3393/ac.2022.01207.0172

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Sarcopenia, which is characterized by progressive and generalized loss of skeletal muscle mass and strength, has been well described to be associated with numerous poor postoperative outcomes, such as increased perioperative mortality, postoperative sepsis, prolonged length of stay, increased cost of care, decreased functional outcome, and poorer oncological outcomes in cancer surgery. Multimodal prehabilitation, as a concept that involves boosting and optimizing the preoperative condition of a patient prior to the upcoming stressors of a surgical procedure, has the purported benefits of reversing the effects of sarcopenia, shortening hospitalization, improving the rate of return to bowel activity, reducing the costs of hospitalization, and improving quality of life. This review aims to present the current literature surrounding the concept of sarcopenia, its implications pertaining to colorectal cancer and surgery, a summary of studied multimodal prehabilitation interventions, and potential future advances in the management of sarcopenia.

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Clinical impact of multidisciplinary team management on postoperative short-term outcomes in colorectral cancer surgery
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Soft Tissue Sarcoma with Lower Limb Impairment: Development of a Specific Rehabilitation Protocol Based on Demolitive and Reconstructive Surgery Types
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Inflammatory Bowel Diseases.2023;[Epub] CrossRef
Recommendations on the use of prehabilitation, i.e. comprehensive preparation of the patient for surgery
Tomasz Banasiewicz, Jarosław Kobiela, Jarosław Cwaliński, Piotr Spychalski, Patrycja Przybylska, Karolina Kornacka, Dagmara Bogdanowska-Charkiewicz, Magdalena Leyk-Kolańczak, Maciej Borejsza-Wysocki, Dominika Batycka-Stachnik, Rafał Drwiła
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AI colonoscopy

The imitation game: a review of the use of artificial intelligence in colonoscopy, and endoscopists’ perceptions thereof: Sarah Tham, Frederick H. Koh, Jasmine Ladlad, Koy-Min Chue, SKH Endoscopy Centre, Cui-Li Lin, Eng-Kiong Teo, Fung-Joon Foo; Ann Coloproctol. 2023;39(5):385-394. Published online March 10, 2023; DOI: https://doi.org/10.3393/ac.2022.00878.0125

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1 Web of Science
1 Citations

Abstract PDF

The development of deep learning systems in artificial intelligence (AI) has enabled advances in endoscopy, and AI-aided colonoscopy has recently been ushered into clinical practice as a clinical decision-support tool. This has enabled real-time AI-aided detection of polyps with a higher sensitivity than the average endoscopist, and evidence to support its use has been promising thus far. This review article provides a summary of currently published data relating to AI-aided colonoscopy, discusses current clinical applications, and introduces ongoing research directions. We also explore endoscopists’ perceptions and attitudes toward the use of this technology, and discuss factors influencing its uptake in clinical practice.

Citations

Citations to this article as recorded by

New Concept of Colonoscopy Assisted by a Microwave-Based Accessory Device: First Clinical Experience
Oswaldo Ortiz, Oriol Sendino, Silvia Rivadulla, Alejandra Garrido, Luz María Neira, Josep Sanahuja, Pilar Sesé, Marta Guardiola, Glòria Fernández-Esparrach
Cancers.2025; 17(7): 1073. CrossRef

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