Although laparoscopic surgery for colon cancer is accepted in the treatment guidelines, the laparoscopic approach for rectal cancer is recommended only in clinical trials. Thus far, several trials have shown favorable short-term results such as early recovery and short hospital stay, but long-term results remain a critical concern for laparoscopic rectal cancer surgery. To date, no randomized control trials have shown an increased local recurrence after laparoscopic surgery for rectal cancer. Additionally, according to previous studies, open conversion, which is more frequent in laparoscopic rectal surgery than in laparoscopic colon surgery, may affect short-term and long-term survival. The evidence on male sexual function has been contradictory. Long-term results from ongoing multicenter trials will be available within several years. Based on accumulated evidence from well-organized clinical trials, laparoscopic surgery will likely be accepted as a treatment choice for rectal cancer. In the future, extended laparoscopic rectal surgery might be feasible for additional procedures such as laparoscopic lateral pelvic lymph node dissection and laparoscopic total pelvic exenteration for rectal cancer invading the adjacent pelvic organ.
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http://dx.doi.org/10.1111/ases.12074 | DOI Listing |
Int J Med Inform
December 2024
Chongqing Cancer Multiomics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing 400030, China. Electronic address:
Background: With advancements in healthcare, traditional VTE risk assessment tools are increasingly insufficient to meet the demands of high-quality care, underscoring the need for innovative and specialized assessment methods.
Objective: Owing to the remarkable success of machine learning in supervised learning and disease prediction, our objective is to develop a reliable and efficient model for assessing VTE risk by leveraging the fundamental data and clinical characteristics of colorectal cancer patients within our medical facility.
Methods: Six commonly used machine learning algorithms were utilized in our study to predict the occurrence of VTE in patients with rectal cancer.
Int J Med Robot
February 2025
Division of Colorectal Surgery, Department of Surgery, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Background: Single port robotic platform offers articulation and 360° camera rotation for anorectal tumour excision in a narrow pelvic space. This study assesses the clinical usefulness and outcomes of SP robotic transanal surgery.
Methods: Nine patients who underwent transanal excision using the SP robotic platform were included.
Ann Surg Oncol
December 2024
Department of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, USA.
Background: The Peritoneal Cancer Index (PCI), calculated intraoperatively, has previously yielded mixed results when correlated with computed tomography. This study aimed to quantify variation in this scoring method comparing radiologists' and surgeons' radiologic PCI (rPCI) assessment.
Methods: The rPCI of 104 patients treated at a single institution for peritoneal carcinomatosis was calculated by an abdominal radiologist and a surgeon.
Sci Rep
December 2024
Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Recently, neoadjuvant short-course radiation therapy (SCRT) has emerged as a valid treatment option for patients with locally advanced rectal cancer (LARC). We assessed SCRT plans using volumetric-modulated arc therapy (VMAT) with Halcyon and Infinity medical linear accelerators (Linacs) and compared the plan quality and delivery efficiency across all cases. Thirty patients who underwent preoperative SCRT for LARC at the hospital were randomly selected.
View Article and Find Full Text PDFClin Colorectal Cancer
December 2024
Department of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX. Electronic address:
Background: Current American Joint Committee on Cancer (AJCC) staging for colorectal cancer utilizes TNM framework groups disease based on extent and provides prognostic information, ideally with a hierarchical logic. We sought to evaluate survival as a function of stage within the 8 edition AJCC staging system for colon and rectal cancer.
Methods: Patients with primary colon or rectal cancer diagnosed 2010-2016 were identified from the National Cancer Database (NCDB).
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