- Article
Multi-Modal Machine Learning for Evaluating the Predictive Value of Pelvimetric Measurements (Pelvimetry) for Anastomotic Leakage After Restorative Low Anterior Resection
- Ritch T. J. Geitenbeek,
- Simon C. Baltus,
- Mark Broekman,
- Sander N. Barendsen,
- Maike C. Frieben,
- Ilias Asaggau,
- Elina Thibeau-Sutre,
- Jelmer M. Wolterink,
- Matthijs C. Vermeulen and
- Can O. Tan
- + 2 authors
Background/Objectives: Anastomotic leakage (AL) remains a major complication after restorative rectal cancer surgery, with accurate preoperative risk stratification posing a significant challenge. Pelvic measurements derived from magnetic resonance i...

