CC BY 4.0 · Journal of Coloproctology 2024; 44(S 01): S1-S138
DOI: 10.1055/s-0045-1808921
Câncer do Cólon/Reto/Ânus
Colon/Rectum/Anus Cancer
ID – 138872
Open Videos

TREATMENT OF LOCALLY ADVANCED COLON TUMORS VIA ROBOTIC SURGERY IN A SPECIALIZED CENTER

Marcos Vinicius Araújo Denadai
1   Hospital de Amor de Barretos, Barretos, Brasil
,
João Pedro Pinto Cordeiro de Miranda Coutinho
1   Hospital de Amor de Barretos, Barretos, Brasil
,
Felipe Daldegan Diniz
1   Hospital de Amor de Barretos, Barretos, Brasil
,
Carlos Augusto Rodrigues Véo
1   Hospital de Amor de Barretos, Barretos, Brasil
,
Luís Gustavo Capochin Romagnolo
1   Hospital de Amor de Barretos, Barretos, Brasil
,
Rodrigo Giacomini Bregeiro
1   Hospital de Amor de Barretos, Barretos, Brasil
› Author Affiliations
 

    Video Description A compilation of three videos demonstrating locally advanced sigmoid and rectosigmoid junction tumors, T4b, invading adjacent organs such as the small bowel and bladder, successfully operated via robotic surgery, applying advanced techniques for multi-organ resection without the need for conversion.

    Discussion Approximately 10% of colorectal cancer patients have locally advanced disease at the time of diagnosis, either T4a, with involvement of the peritoneum adjacent to the lesion, or T4b, with invasion of one or more adjacent organs. Surgery with R0 resection is the treatment of choice, potentially curative, and of patients undergoing multi-organ resection with curative intent, 7 to 33% progress with isolated regional recurrence. Statistically, there is a lower rate of conversion to laparotomy when the approach is robotic, compared to laparoscopic surgery.

    Conclusion Such an approach was only possible because the cases were treated at a specialized oncology center and due to the experience of the assisting team in minimally invasive approaches.


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    No conflict of interest has been declared by the author(s).

    Publication History

    Article published online:
    25 April 2025

    © 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/)

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