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Lee C, Park IJ. Sex Disparities in Rectal Cancer Surgery: An In-Depth Analysis of Surgical Approaches and Outcomes. World J Mens Health 2024; 42:304-320. [PMID: 38449456 PMCID: PMC10949018 DOI: 10.5534/wjmh.230335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 11/30/2023] [Accepted: 12/07/2023] [Indexed: 03/08/2024] Open
Abstract
Anatomical and physiological differences exist between sex, leading to variations in how diseases, such as rectal cancer, are prevalence and treatment outcomes of diseases including rectal cancer. In particular, in the case of rectal cancer, anatomical differences may be associated with surgical challenges, and these factors are believed to be important contributors to potential disparities in postoperative recovery, associated complications, and oncological outcomes between male and female patients. However, there is still ongoing debate regarding this matter. Significantly, the male pelvic anatomy is distinguished by its narrower dimensions, which can present surgical challenges and impede visual access during operative procedures, rendering it more complex than surgical interventions in the female pelvis. As a result, this anatomical difference leads to a greater occurrence of postoperative complications, such as anastomotic leakage. Moreover, the pelvis houses nerves that are vital for urinary and genital functions, underscoring the need to assess the potential risks of sexual and urinary dysfunction in rectal cancer surgery. These postoperative complications can significantly impact the quality of life; therefore, it is imperative to perform surgery with an understanding of the structural differences between sexes. Therefore, to address the limitations imposed by anatomical structures, new approaches such as robotic surgery, trans-anal total mesorectal excision, and intraoperative neuromonitoring are being introduced. Furthermore, it is essential to conduct research into fundamental mechanisms that may give rise to differences in surgical outcomes and oncological results between sexes. By comprehending the disparities between males and females, we can advance toward personalized treatments. Consequently, this review outlines variations in surgical approaches, complications, and treatments for rectal cancer in male and female patients.
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Affiliation(s)
- Chungyeop Lee
- Department of Colon and Rectal Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - In Ja Park
- Department of Colon and Rectal Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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Kim M, Park T, Oh BY, Kim MJ, Cho BJ, Son IT. Performance reporting design in artificial intelligence studies using image-based TNM staging and prognostic parameters in rectal cancer: a systematic review. Ann Coloproctol 2024; 40:13-26. [PMID: 38414120 PMCID: PMC10915525 DOI: 10.3393/ac.2023.00892.0127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 02/29/2024] Open
Abstract
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 treat-ment 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, offer-ing noninvasive and cost-effective alternatives for identifying genetic mutations. CONCLUSION Image-based AI studies for rectal can-cer 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.
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Affiliation(s)
- Minsung Kim
- Department of Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - Taeyong Park
- Medical Artificial Intelligence Center, Hallym University Medical Center, Anyang, Korea
| | - Bo Young Oh
- Department of Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - Min Jeong Kim
- Department of Radiology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - Bum-Joo Cho
- Medical Artificial Intelligence Center, Hallym University Medical Center, Anyang, Korea
| | - Il Tae Son
- Department of Surgery, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
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Gomez Ruiz M, Ballestero Diego R, Tejedor P, Cagigas Fernandez C, Cristobal Poch L, Suarez Pazos N, Castillo Diego J. Robotic surgery for locally advanced T4 rectal cancer: feasibility and oncological quality. Updates Surg 2023; 75:589-597. [PMID: 36763301 DOI: 10.1007/s13304-023-01450-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 02/03/2023] [Indexed: 02/11/2023]
Abstract
For T4 rectal tumours and local recurrences (LR) of rectal cancer, a radical resection beyond TME, sometimes by multi-visceral resection, is important to obtain safe margins and improve survival. The use of the laparoscopic approach (LA) for these cases is still controversial and associated with a high rate of conversion. However, robotic surgery might offer some advantages that can overcome some of the limitations of LA. Therefore, we aimed to analyse the postoperative outcomes and medium-term oncological results of robotic surgery for locally advanced rectal cancer (pathological T4) and LR. A retrospective analysis was performed including patients who had undergone robotic rectal resection in a single institution over an 11-year period, and had a T4 tumour confirmed in the pathological report. Primary endpoint was to analyse postoperative complications (30-day) and the rate of conversion. Secondary endpoints include pathological assessment of the quality of the specimen, local recurrence and survival [2-year disease-free survival (DFS) and overall survival (OS)]. A total of 41 patients were analysed, including a total of 24 patients (60%) that required a multivisceral resection. The median distance from the tumour to the anorectal junction was 7 (4-12) cm. Conversion to open surgery was necessary in 2 cases (5%). The overall morbidity rate was 78% (n = 32), with 37% of major complications, most of them urinary (n = 7). Median length of hospital stay (LOS) was 13 (7-27) days. The 30-day mortality rate was 7% (n = 3). An R0 resection was achieved in 85.4% of the cases (n = 35) due to 6 cases of the positive circumferential resection margin. 2-year disease-free survival (DFS) and overall survival (OS) for the T4 tumours were 72% and 85%, respectively. There were 8 cases of local recurrence (22.2%); 6 of them met the selection criteria for salvage surgery. Robotic surgery for locally advanced T4 rectal cancer and multi-visceral resections is safe and feasible, with a low rate of conversion and an acceptable rate of postoperative morbidity in this subgroup of patients. Oncological results have shown to be comparable with the laparoscopic series published, preserving a good quality of the resected specimen. However, comparative studies and a longer follow-up period is needed to confirm the oncologic findings and to support the general adoption of the robotic system for these complex interventions.
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Affiliation(s)
- Marcos Gomez Ruiz
- Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, 39008, Santander, Spain
- Valdecilla Biomedical Research Institute (IDIVAL), 39010, Santander, Spain
| | - Roberto Ballestero Diego
- Urology, Marqués de Valdecilla University Hospital, 39008, Santander, Spain
- Valdecilla Biomedical Research Institute (IDIVAL), 39010, Santander, Spain
| | - Patricia Tejedor
- Colorectal Surgery Unit, General Surgery Department, Gregorio Marañón University Hospital, Madrid, Spain.
| | - Carmen Cagigas Fernandez
- Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, 39008, Santander, Spain
- Valdecilla Biomedical Research Institute (IDIVAL), 39010, Santander, Spain
| | - Lidia Cristobal Poch
- Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, 39008, Santander, Spain
- Valdecilla Biomedical Research Institute (IDIVAL), 39010, Santander, Spain
| | - Natalia Suarez Pazos
- Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, 39008, Santander, Spain
- Valdecilla Biomedical Research Institute (IDIVAL), 39010, Santander, Spain
| | - Julio Castillo Diego
- Colorectal Surgery Unit, General Surgery Department, Marqués de Valdecilla University Hospital, 39008, Santander, Spain
- Valdecilla Biomedical Research Institute (IDIVAL), 39010, Santander, Spain
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Kim HJ. Applications of propensity score matching: a case series of articles published in Annals of Coloproctology. Ann Coloproctol 2022; 38:398-402. [PMID: 36596300 PMCID: PMC9816561 DOI: 10.3393/ac.2022.01060.0151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/29/2022] Open
Abstract
Propensity score matching (PSM) is an increasingly applied method of ensuring comparability between groups of interest. However, PSM is often applied unconditionally, without precise considerations. The purpose of this study is to provide a nonmathematical guide for clinicians at the stage of designing a PSM-based study. We provide a seed of thought for considering whether applying PSM would be appropriate and, if so, the scope of the list of variables. Although PSM may be simple, its results could vary substantially according to how the propensity score is constructed. Misleading results can be avoided through a critical review of the process of PSM.
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Affiliation(s)
- Hwa Jung Kim
- Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea,Correspondence to: Hwa Jung Kim, M.D., Ph.D. Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea Tel: +82-2-3010-5636, Fax: +82-2-3010-7304 E-mail: ORCID: https://orcid.org/0000-0003-1916-7014
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