Minimally invasive surgery
- A comparative study of the pathological outcomes of robot-assisted versus open surgery for rectal cancer
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René Reyes, Csaba Kindler, Kenneth Smedh, Catarina Tiselius
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Ann Coloproctol. 2024;40(2):154-160. Published online December 28, 2022
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DOI: https://doi.org/10.3393/ac.2022.00332.0047
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Abstract
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- Purpose
The use of robot-assisted surgery for rectal cancer is increasing, but the pathological outcomes have not been fully clarified. We compared the surgical and pathological outcomes between robot-assisted and open surgery in specimens from patients operated on for rectal cancer.
Methods
All patients who underwent resection for rectal cancer from 2016 to 2018 were included (n=137). Specimens were divided into 3 sections to analyze the pathology of the lymph nodes.
Results
The total specimen lengths were shorter in the robot-assisted group than in the open surgery group (mean±standard deviation: 29.1±8.6 cm vs. 33.8±9.9 cm, P=0.004) because of a shorter proximal resection margin (21.7±8.7 cm vs. 26.4±10.6 cm, P=0.006). The number of recruited lymph nodes (35.8±21.8 vs. 39.6±16.5, P=0.604) and arterial vessel length (8.84±2.6 cm vs. 8.78±2.4 cm, P=0.891) did not differ significantly between the 2 surgical approaches. Lymph node metastases were found in 33 of 137 samples (24.1%), but the numbers did not differ significantly between the procedures. Among these 33 cases, metastatic lymph nodes were located in the mesorectum (75.8%), in the sigmoid colon mesentery (33.3%), and at the arterial ligation site of the inferior mesenteric artery (12.1%). The circumferential resection margin and the proportion of complete mesorectal fascia were comparable between the groups.
Conclusion
There were no significant differences between the 2 surgical approaches regarding arterial vessel length, recruitment of lymph node metastases, and resection margins.
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Citations
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- Robotic Surgery for Rectal Cancer Treatment: Clinical Outcomes and Quality of Life. Comparison of Surgical Methods
Raminta Akelaitytė, Justas Žilinskas
Lietuvos chirurgija.2025; 24(3): 184. CrossRef - Can robotic surgery lead the way in the treatment of rectal cancer?
Jeonghee Han
Annals of Coloproctology.2024; 40(2): 87. CrossRef - Comparative analysis of short-term outcomes and oncological results between robotic-assisted and laparoscopic surgery for rectal cancer by multiple surgeon implementation: a propensity score-matched analysis
E. Barzola, L. Cornejo, N. Gómez, A. Pigem, D. Julià, N. Ortega, O. Delisau, K. A. Bobb, R. Farrés, P. Planellas
Journal of Robotic Surgery.2023; 17(6): 3013. CrossRef
Malignant disease,Prognosis and adjuvant therapy
- Identification of Risk Factors Associated With Stage III Disease in Nonmetastatic Colon Cancer: Results From a Prospective National Cohort Study
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Jakob Lykke, Ole Roikjaer, Per Jess, Jacob Rosenberg, On behalf of the Danish Colorectal Cancer Group
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Ann Coloproctol. 2020;36(5):316-322. Published online February 18, 2020
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DOI: https://doi.org/10.3393/ac.2019.03.03
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4,916
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Abstract
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- Purpose
This study aimed to identify possible patient- and tumor-related factors associated with risk of TNM stage III disease in nonmetastatic colon cancer.
Methods
The associations between stage III disease and age, sex, lymph node yield, pathological tumor (pT) stage, tumor subsite, type of surgery, and priority of surgery were assessed in a nationwide cohort of 13,766 patients treated with curative resection of colon cancer. Each level of age, lymph node yield, and pT stage was compared to the preceding level.
Results
Age, lymph node yield, pT stage, tumor subsite, and priority of surgery were associated with stage III disease. Odds ratios (95% confidence interval [CI]) were as follows: age < 65/65–75 years: 1.28 (95% CI, 1.15–1.43) and 65–75/ > 75 years: 1.22 (95% CI, 1.13–1.32); lymph node yield 0–5/6–11: 0.60 (95% CI, 0.50–0.72), lymph node yield 6–11/12–17: 0.84 (95% CI, 0.76–0.93), and lymph node yield 12–17/ ≥ 18: 0.97 (95% CI, 0.89–1.05); pT1/pT2: 0.74 (95% CI, 0.57–0.95), pT2/pT3: 0.35 (95% CI, 0.30–0.40), and pT3/pT4: 0.49 (95% CI, 0.47–0.54). Only tumors of the transverse colon were independently associated with lower risk of stage III disease than tumors in the sigmoid colon (sigmoid colon: 1, transverse colon: 0.84 [95% CI, 0.73–0.96]; elective surgery: 1, acute surgery: 1.43 [95% CI, 1.29–1.60]).
Conclusion
In this study, stage III disease in colon cancer was significantly associated with age, lymph node yield, pT stage, tumor subsite, and priority of surgery but was not associated with right-sided location compared with stage I and II cancers.
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Citations
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- Optimized workup of lymph nodes in regard to UICC classification of colorectal carcinoma
Moritz Rust, Nabih Farkouh, Piet Beusker, Ali Eissing‐Al‐Mukahal, Clara Böker, Julian Mall, Ludwig Wilkens
Histopathology.2026;[Epub] CrossRef - Association of the pathomics-collagen signature with lymph node metastasis in colorectal cancer: a retrospective multicenter study
Wei Jiang, Huaiming Wang, Xiaoyu Dong, Yandong Zhao, Chenyan Long, Dexin Chen, Botao Yan, Jiaxin Cheng, Zexi Lin, Shuangmu Zhuo, Hui Wang, Jun Yan
Journal of Translational Medicine.2024;[Epub] CrossRef - Can clinicopathologic high-risk features in T3N0 colon cancer be reliable prognostic factors?
Hyun Gu Lee, Young IL Kim, In Ja Park, Seok-Byung Lim, Chang Sik Yu
Annals of Surgical Treatment and Research.2023; 104(2): 109. CrossRef - Deep learning-based pathology signature could reveal lymph node status and act as a novel prognostic marker across multiple cancer types
Siteng Chen, Jinxi Xiang, Xiyue Wang, Jun Zhang, Sen Yang, Wei Yang, Junhua Zheng, Xiao Han
British Journal of Cancer.2023; 129(1): 46. CrossRef - Clinical Effectiveness of Fluorescence Lymph Node Mapping Using ICG for Laparoscopic Right Hemicolectomy: A Prospective Case–Control Study
Gyung Mo Son, Mi Sook Yun, In Young Lee, Sun Bin Im, Kyung Hee Kim, Su Bum Park, Tae Un Kim, Dong-Hoon Shin, Armaan M. Nazir, Gi Won Ha
Cancers.2023; 15(20): 4927. CrossRef - Deep learning can predict lymph node status directly from histology in colorectal cancer
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European Journal of Cancer.2021; 157: 464. CrossRef