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J.Jpn. Surg. Soc.. 127(1): 43-51, 2026


Feature topic

OPTIMIZING PREOPERATIVE PLANNING FOR SEGMENTECTOMY IN LUNG CANCER WITH 3D-CT SIMULATION

Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan

Kazutoshi Hamanaka, Kimihiro Shimizu

With the increasing incidence of small, early-stage lung cancers and the aging of the surgical population, the need to balance oncological radicality with minimal invasiveness has become increasingly critical. Recent prospective trials have accelerated the demand for sublobar lung resection, particularly anatomic segmentectomy. In parallel, advances in CT imaging technology have enabled highly accurate, patient-specific preoperative planning through 3D-CT simulation.
This technological evolution has transformed precision segmentectomy into a safe, function-preserving, patient-tailored procedure that maintains postoperative pulmonary function and quality of life. Here, we outline our preoperative planning strategy for individualized segmentectomy, integrating novel anatomic insights from our 3D-CT research, and present practical applications currently in use at our institution.


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