Objectives: Computed tomography imaging of a sublobar resection specimen may inform intraoperative surgical margin assessment. However, consistency with final pathological margins has not been previously evaluated. In this study, we investigated the concordance between surgical margin measurements by computed tomography versus pathology measurements using an ex vivo sublobar lung resection model.
Methods: Pig lung wedge samples containing agarose pseudotumors were harvested. Computed tomography images were acquired following specimen inflation. The specimen was bisected along the same plane observed by computed tomography for accurate comparison with pathological surgical margin measurement. The bisected samples were then fixed in formalin before preparing hematoxylin & eosin slides. Surgical margin length at four distinct stages (computed tomography, gross pre-formalin fixation, gross post-formalin fixation, pathology) were measured and compared.
Results: A total of 50 lung specimens were analyzed. After specimen processing, Surgical margin length decreased in 94% (47/50) and increased in 6% (3/50) of samples. Mean surgical margin lengths were as follows: computed tomography 14.0 mm (range: 4.5-28.3 mm), gross pre-formalin fixation 13.0 mm (range: 4.0-25.0 mm), gross post-formalin fixation 12.1 mm (range: 2.5-26.0 mm), and pathology 10.9 mm (range: 1.0-23.4 mm). There was an average -23.8% (range: +11 to -82%) change in surgical margin length from computed tomography to final pathology (p < 0.001).
Conclusions: While computed tomography -based surgical margin measurement is feasible, we observed an average 23.8% discordance when compared to final pathology measurement. Surgeons must be aware that the computed tomography -derived surgical margin generally overestimates the pathology-derived surgical margin.
Keywords: Lung cancer; computed tomography; sublobar resection; surgical margin.
© The Author(s) 2024. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery.