Preoperative (3-dimensional) computed tomography lung reconstruction before anatomic segmentectomy or lobectomy for stage I non-small cell lung cancer.

The Journal of Thoracic and Cardiovascular Surgery
Ernest G ChanRodney J Landreneau

Abstract

Accurate cancer localization and negative resection margins are necessary for successful segmentectomy. In this study, we evaluate a newly developed software package that permits automated segmentation of the pulmonary parenchyma, allowing 3-dimensional assessment of tumor size, location, and estimates of surgical margins. A pilot study using a newly developed 3-dimensional computed tomography analytic software package was performed to retrospectively evaluate preoperative computed tomography images of patients who underwent segmentectomy (n = 36) or lobectomy (n = 15) for stage 1 non-small cell lung cancer. The software accomplishes an automated reconstruction of anatomic pulmonary segments of the lung based on bronchial arborization. Estimates of anticipated surgical margins and pulmonary segmental volume were made on the basis of 3-dimensional reconstruction. Autosegmentation was achieved in 72.7% (32/44) of preoperative computed tomography images with slice thicknesses of 3 mm or less. Reasons for segmentation failure included local severe emphysema or pneumonitis, and lower computed tomography resolution. Tumor segmental localization was achieved in all autosegmented studies. The 3-dimensional computed tomography analysis ...Continue Reading

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Citations

May 4, 2017·The Journal of Thoracic and Cardiovascular Surgery·Makoto EndohMitsuaki Sadahiro
Jan 20, 2017·Journal of Laparoendoscopic & Advanced Surgical Techniques. Part a·Fei YaoYongke Cao
May 21, 2019·Minerva anestesiologica·Sabrina MaMorgan Le Guen
Mar 15, 2018·European Journal of Cardio-thoracic Surgery : Official Journal of the European Association for Cardio-thoracic Surgery·Yojiro MakinoNorihiko Ikeda
Aug 19, 2021·AJR. American Journal of Roentgenology·Konstantinos StefanidisIoannis Vlahos

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