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        Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?

        James Weiquan Li,Lai Mun Wang,Katsuro Ichimasa,Kenneth Weicong Lin,James Chi-Yong Ngu,Tiing Leong Ang 대한소화기내시경학회 2024 Clinical Endoscopy Vol.57 No.1

        The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.

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        Diagnostic Endoscopic Ultrasound: Technique, Current Status and Future Directions

        ( Tiing Leong Ang ),( Andrew Boon Eu Kwek ),( Lai Mun Wang ) 대한간학회 2018 Gut and Liver Vol.12 No.5

        Endoscopic ultrasound (EUS) is now well established as an important tool in clinical practice. From purely diagnostic imaging, it has progressed to include tissue acquisition, which provided the basis for therapeutic procedures. Even as interventional EUS developed, there has been ongoing progress in EUS diagnostic capabilities due to improved imaging systems, better needles for tissue acquisition and development of enhanced imaging functions such as contrast harmonic EUS (CHEUS) and EUS elastography. EUS is well established for differentiation of subepithelial lesions, for T-staging of luminal gastrointestinal and pancreaticobiliary malignancies, for differentiation of benign pancreaticobiliary disorders and for diagnostic tissue acquisition, which can be achieved by EUS-guided fine needle aspiration or by EUS-guided fine needle biopsy using dedicated biopsy needles. This review briefly describes the technique of performing EUS and then discusses its clinical utility in terms of gastrointestinal cancer staging, the evaluation of pancreaticobiliary disorders and tissue acquisition. Enhanced imaging techniques such as CHEUS and EUS elastography are briefly reviewed. (Gut Liver 2018;12:483-496)

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        Clinical Features and Predictors of Dysplasia in Proximal Sessile Serrated Lesions

        Yi Yuan Tan,Gary Sei Kiat Tay,Yu Jun Wong,James Weiquan Li,Andrew Boon Eu Kwek,Tiing-Leong Ang,Lai Mun Wang,Malcolm Teck Kiang Tan 대한소화기내시경학회 2021 Clinical Endoscopy Vol.54 No.4

        Background/Aims: Proximal colorectal cancers (CRCs) account for up to half of CRCs. Sessile serrated lesions (SSLs) are precursorsto CRC. Proximal location and presence of dysplasia in SSLs predict higher risks of progression to cancer. The prevalence of dysplasiain proximal SSLs (pSSLs) and clinical characteristics of dysplastic pSSLs are not well studied. Methods: Endoscopically resected colonic polyps at our center between January 2016 and December 2017 were screened for pSSLs. Data of patients with at least one pSSL were retrieved and clinicopathological features of pSSLs were analysed. pSSLs with andwithout dysplasia were compared for associations. Results: Ninety pSSLs were identified, 45 of which had dysplasia giving a prevalence of 50.0%. Older age (65.9 years vs. 60.1 years,p=0.034) was associated with the presence of dysplasia. Twelve pSSLs were 10 mm or larger. After adjusting for age, pSSLs ≥10 mmhad an adjusted odds ratio of 5.98 (95% confidence interval, 1.21–29.6) of having dysplasia compared with smaller pSSLs. Conclusions: In our cohort of pSSLs, the prevalence of dysplasia is high at 50.0% and is associated with lesion size ≥10 mm. Endoscopic resection for all proximal serrated lesions should be en-bloc to facilitate accurate histopathological examination fordysplasia as its presence warrants shorter surveillance intervals.

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