Preoperative Vascular Classification of the Splenic Flexure Vein: A Step Toward Safer, Precision Colorectal Surgery

We read with interest the study by Kawashima et al. titled “Vascular Classification of the Splenic Flexure Vein by Preoperative Three-Dimensional Computed Tomography for Splenic Flexure Colon Cancer Patients,” [1]. We think the authors deserve commendation for addressing a longstanding challenge in surgery, the complex and often unpredictable venous anatomy of the splenic flexure. The splenic flexure is amongst the technically demanding regions of the colon to operate on, due to its variable dual venous drainage from the inferior mesenteric vein (IMV), superior mesenteric vein (SMV), and splenic vein. This vascular heterogeneity causes an increase in the risk of intraoperative bleeding, incomplete lymphadenectomy and insufficient oncologic resection. Kawashima et al.'s venous classification using preoperative three dimensional computed tomography (3D-CT) offers surgeons a valuable tool to preoperatively visualize patients vascular patterns, allowing for improved surgical planning and execution [1]. The study follows in the shift toward precision colorectal surgery, which details anatomical assessment leading to better surgical safety and oncological results. While studies previously have focused on arterial mapping [2], this study highlights the importance of venous anatomy, in laparoscopic and robotic surgery where tactile feedback is limited and reliance on accurate visual mapping becomes more relevant [3]. Integration of such preoperative vascular mapping aligns with the principles of complete mesocolic excision (CME), which has been associated with better oncologic outcomes in colorectal cancer [4]. We believe this venous classification could be embedded into routine practice; however, we suggest that future studies focus on three areas to provide the necessary data required for such a change in practice. First, prospective multicenter validation studies can help confirm the reproducibility of the classification and assess its impact on surgical outcomes, complication rates, and oncological margins. Second, integration of artificial intelligence could enable automated vascular mapping from routine imaging, broadening accessibility and reducing variations amongst observers. Third, health economic analyses will be required to judge the cost-effectiveness of implementing advanced preoperative imaging in colorectal cancer management. These studies could highlight the effectiveness of this intervention in reducing intraoperative complications, reoperations, and healthcare expenditures, collectively providing grounds for embedding vascular precision into routine colorectal surgery. In conclusion, Kawashima et al.'s work represents a significant contribution to surgical oncology by offering a practical, anatomy based solution to a technical challenge. We applaud the authors and encourage continued innovation to refine and validate this approach, which shows potential for improving surgical safety, oncologic outcomes, and patient care in splenic flexure colon cancer patient management. The authors have nothing to report. The authors have nothing to report. The authors declare no conflicts of interest.