Minimally Invasive Surgical Approaches to Colorectal Cancer: Learning Curve and Cost Considerations
Year: 2026
Type: review
Abstract: Minimally invasive surgical (MIS) techniques have fundamentally transformed the management of colorectal cancer. Since the early 1990s, the field has rapidly evolved, shifting from initial concerns about oncologic safety to the widespread adoption of both laparoscopic and robotic surgeries. Specifically, laparoscopic approaches to colorectal cancer resection are now widely adopted and supported by robust randomized controlled trial evidence demonstrating favorable perioperative outcomes with equivalent oncologic results compared to open surgery. Robotic-assisted platforms have gained increasing adoption; however, their incremental clinical and oncologic benefit over laparoscopy remains under active investigation. As these technologies have been implemented, significant challenges related to surgical proficiency and economic sustainability have emerged. MIS approaches, particularly laparoscopic colectomies and proctectomies, involve steep, multidimensional learning curves that require substantial case volumes to achieve technical mastery and consistent clinical outcomes. Simultaneously, the rising costs of robotic platforms raise important considerations regarding the financial sustainability of healthcare systems. While robotic surgery may reduce certain downstream costs through shorter hospital stays and fewer complications, its substantially higher upfront operative costs and uncertain cost-effectiveness relative to laparoscopy require careful consideration, and access remains a barrier, particularly for patients without private insurance. This narrative review describes the evolution of MIS in colorectal cancer treatment and examines the dual considerations of the surgical learning curve and hospital cost implications.
Source: Cancers
Institution: UMass Memorial Medical Center
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,499
OpenAlex ID: W7214097757