Annals of Coloproctology

Reviews

Colorectal cancer

Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review: Minsung Kim, Taeyong Park, Bo Young Oh, Min Jeong Kim, Bum-Joo Cho, Il Tae Son; Ann Coloproctol. 2024;40(1):13-26. Published online February 28, 2024; DOI: https://doi.org/10.3393/ac.2023.00892.0127

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Purpose
The integration of artificial intelligence (AI) and magnetic resonance imaging in rectal cancer has the potential to enhance diagnostic accuracy by identifying subtle patterns and aiding tumor delineation and lymph node assessment. According to our systematic review focusing on convolutional neural networks, AI-driven tumor staging and the prediction of treatment response facilitate tailored treatment strategies for patients with rectal cancer.
Methods
This paper summarizes the current landscape of AI in the imaging field of rectal cancer, emphasizing the performance reporting design based on the quality of the dataset, model performance, and external validation.
Results
AI-driven tumor segmentation has demonstrated promising results using various convolutional neural network models. AI-based predictions of staging and treatment response have exhibited potential as auxiliary tools for personalized treatment strategies. Some studies have indicated superior performance than conventional models in predicting microsatellite instability and KRAS status, offering noninvasive and cost-effective alternatives for identifying genetic mutations.
Conclusion
Image-based AI studies for rectal cancer have shown acceptable diagnostic performance but face several challenges, including limited dataset sizes with standardized data, the need for multicenter studies, and the absence of oncologic relevance and external validation for clinical implantation. Overcoming these pitfalls and hurdles is essential for the feasible integration of AI models in clinical settings for rectal cancer, warranting further research.

Citations

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Xiaoling Gong, Zheng Ye, Yu Shen, Bin Song
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Artificial Intelligence in Coloproctology: A Review of Emerging Technologies and Clinical Applications
Joana Mota, Maria João Almeida, Miguel Martins, Francisco Mendes, Pedro Cardoso, João Afonso, Tiago Ribeiro, João Ferreira, Filipa Fonseca, Manuel Limbert, Susana Lopes, Guilherme Macedo, Fernando Castro Poças, Miguel Mascarenhas
Journal of Clinical Medicine.2024; 13(19): 5842. CrossRef

Benign proctology

A systematic review of translation and experimental studies on internal anal sphincter for fecal incontinence: Minsung Kim, Bo-Young Oh, Ji-Seon Lee, Dogeon Yoon, Wook Chun, Il Tae Son; Ann Coloproctol. 2022;38(3):183-196. Published online June 9, 2022; DOI: https://doi.org/10.3393/ac.2022.00276.0039

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Abstract PDF

The complexity in the molecular mechanism of the internal anal sphincter (IAS) limits preclinical or clinical outcomes of fecal incontinence (FI) treatment. So far, there are no systematic reviews of IAS translation and experimental studies that have been reported. This systematic review aims to provide a comprehensive understanding of IAS critical role in FI. Previous studies revealed the key pathway for basal tone and relaxation of IAS in different properties as follows; calcium, Rho-associated, coiled-coil containing serine/threonine kinase, aging-associated IAS dysfunction, oxidative stress, renin-angiotensin-aldosterone, cyclooxygenase, and inhibitory neurotransmitters. Previous studies have reported improved functional outcomes of cellular treatment for regeneration of dysfunctional IAS, using various stem cells, but did not demonstrate the interrelationship between those results and basal tone or relaxation-related molecular pathway of IAS. Furthermore, these results have lower specificity for IAS-incontinence due to the included external anal sphincter or nerve injury regardless of the cell type. An acellular approach using bioengineered IAS showed a physiologic response of basal tone and relaxation response similar to human IAS. However, in both cellular and acellular approaches, the lack of human IAS data still hampers clinical application. Therefore, the IAS regeneration presents more challenges and warrants more advances.

Citations

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3D spheroids versus 2D-cultured human adipose stem cells to generate smooth muscle cells in an internal anal sphincter-targeting cryoinjured mouse model
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Differentiation of Adipose-Derived Stem Cells into Smooth Muscle Cells in an Internal Anal Sphincter-Targeting Anal Incontinence Rat Model
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Original Articles

Transmissibility of the Campaign for Colorectal Cancer Awareness in Korea Among Twitter Users: Keun Chul Lee, Heung-Kwon Oh, Gibeom Park, SoHyun Park, Bongwon Suh, Woo Kyung Bae, Jin Won Kim, Hyuk Yoon, Myung Jo Kim, Sung-Il Kang, Il Tae Son, Duck-Woo Kim, Sung-Bum Kang; Ann Coloproctol. 2016;32(5):184-189. Published online October 31, 2016; DOI: https://doi.org/10.3393/ac.2016.32.5.184

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11 Citations

Abstract PDF

Purpose

The Korean Society of Coloproctology holds its annual colorectal awareness month every September. This study analyzed the users and the contents of Korean tweets regarding colorectal cancer and estimated the transmissibility of the awareness campaign among Twitter users.

Methods

Prospective data collection was employed to accumulate Korean tweets containing the keywords "colorectal cancer," "colorectal cancer awareness campaign," "gold ribbon," and/or "love handle," from August 1 to September 30, 2014. Twitter users and contents were analyzed, and the credibility of information-sharing tweets throughout the study period was evaluated.

Results

In total, 10,387 tweets shared by 1,452 unique users were analyzed. As for users, 57.8% were individuals whereas 5.8% were organizations/communities; spambots accounted for a considerable percentage (36.4%). As for content, most tweets were spam (n = 8,736, 84.1%), repetitively advertising unverified commercial folk remedies, followed by tweets that shared information (n = 1,304, 12.6%) and non-information (n = 347, 3.3%). In the credibility assessment, only 80.6% of the information-sharing tweets were medically correct. After spam tweets had been excluded, a significant increase was seen in the percentage of information-sharing tweets (77.1% to 81.1%, P = 0.045) during the awareness campaign month.

Conclusion

Most Korean tweets regarding colorectal cancer during the study months were commercial spam tweets; informative public tweets accounted for an extremely small percentage. The transmissibility of the awareness campaign among Twitter users was questionable at best. To expand the reach of credible medical information on colorectal cancer, public health institutions and organizations must pay greater attention to social media.

Citations

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Public effect of the 2022 Colorectal Cancer Awareness Campaign delivered through a metaverse platform
Tae-Gyun Lee, Gil-Hyeon Song, Hong-min Ahn, Heung-Kwon Oh, Moonkyoung Byun, Eon Chul Han, Sohyun Kim, Chang Woo Kim, Hye Jin Kim, Samin Hong, Kee-Ho Song, Chan Wook Kim, Yong Beom Cho
Annals of Coloproctology.2024; 40(2): 145. CrossRef
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Network’s reciprocity: a key determinant of information diffusion over Twitter
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Erin Vernon, Zachary Gottesman, Raechel Warren
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Colorectal Disease.2019; 21(10): 1175. CrossRef
Social media and colorectal cancer: A systematic review of available resources
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Disease-specific hashtags and the creation of Twitter medical communities in hematology and oncology
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Use of a Comprehensive Geriatric Assessment to Predict Short-Term Postoperative Outcome in Elderly Patients With Colorectal Cancer: Yoon Hyun Lee, Heung-Kwon Oh, Duck-Woo Kim, Myong Hoon Ihn, Jee Hyun Kim, Il Tae Son, Sung Il Kang, Gwang Il Kim, Soyeon Ahn, Sung-Bum Kang; Ann Coloproctol. 2016;32(5):161-169. Published online October 31, 2016; DOI: https://doi.org/10.3393/ac.2016.32.5.161

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37 Web of Science
30 Citations

Abstract PDF

Purpose

This study was conducted to identify the effectiveness of a preoperative comprehensive geriatric assessment (CGA) for predicting postoperative morbidity in elderly patients who underwent surgery for colorectal cancer.

Methods

Elderly patients (≥70 years old) who underwent surgery for colorectal cancer at a tertiary hospital in Korea were identified, and their cases were analyzed using data from a prospectively collected database to establish an association between major postsurgical complications and 'high-risk' patient as defined by the CGA.

Results

A total of 240 patients, with a mean age of 76.7 ± 5.2 years, were enrolled. Ninety-five patients (39.6%) were classified as "high-risk" and 99 patients (41.3%) as having postoperative complications. The univariate analysis indicated that risk factors for postoperative complications were age, American Society of Anesthesiologists physical status classification, serum hemoglobin, carcinoembryonic antigen, cancer stage, and "high-risk" status. The multivariable analyses indicated that "high-risk" status (odds ratio, 2.107; 95% confidence interval, 1.168–3.804; P = 0.013) and elevated preoperative carcinoembryonic antigen (odds ratio, 2.561; 95% confidence interval, 1.346–4.871, P = 0.004) were independently associated with postoperative complications. A multivariable analysis of the individual CGA domains indicated that high comorbidities and low activities of daily living were significantly related with postoperative complications.

Conclusion

A preoperative CGA indicating "high-risk" was associated with major postoperative complications in elderly patients who underwent surgery for colorectal cancer. Thus, using the CGA to identify elderly colorectal-cancer patients who should be given more care during postoperative management may be clinically beneficial.

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