Surgical Case Reports
Online ISSN : 2198-7793
Case Report
Robotic Segmentectomy in a Patient with a Displaced Left Upper Division Bronchus and Fused Fissure
Hironobu Wada Ryo KaritaYuki HiraiYuki OnozatoToshiko KamataHajime TamuraTakashi AnayamaIchiro YoshinoShigetoshi Yoshida
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2025 Volume 11 Issue 1 Article ID: cr.25-0039

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Abstract

INTRODUCTION: In thoracic surgery, anatomical anomalies and a fused fissure can cause inaccurate intraoperative recognition of anatomy and lead to accidental injury of pulmonary vessels and bronchi that should be preserved. A displaced left upper division bronchus (B1+2+3), also known as a left eparterial bronchus, is a rare anomaly that can present in combination with abnormal pulmonary arteries positioning and lobulation. Herein, we report a case of lung cancer in S1+2 of the left fused lung that was successfully resected by robotic left upper division segmentectomy following a detailed preoperative simulation using 3-dimensional computed tomography.

CASE PRESENTATION: A female octogenarian presented for the treatment of simultaneous bilateral lung cancer. Three months after surgery for right lung cancer, a surgery for left lung cancer was performed. Preoperative computed tomography identified several broncho-arterial anomalies and a completely fused fissure, including a displaced left upper division bronchus and a pulmonary artery running anteriorly to the left main bronchus, similar to those in the right lung. Robotic left upper division segmentectomy with lymph node dissection was performed using a “hilum first, fissure last” approach with fine dissection of the hilar structures and minimal bleeding. The postoperative course was uneventful.

CONCLUSIONS: Preoperative simulation and robotic-assisted thoracoscopic surgery enabled the safe and precise anatomical pulmonary segmentectomy for a patient with lung cancer, despite several bronchial and arterial anomalies, including a displaced left upper division bronchus.

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© 2025 The Author(s). Published by Japan Surgical Society

This article is licensed under a Creative Commons [Attribution 4.0 International] license.
https://creativecommons.org/licenses/by/4.0/
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