Background: In the context of transoral robotic surgery (TORS) for oropharyngeal squamous carcinoma (OPSCC), preoperative imaging and intraoperative visualization plays a pivotal role in optimizing resection margins. Prior work has demonstrated the ability of transoral ultrasound (US) in identifying OPSCC margins and vascular structures. This study evaluates the effectiveness of transcervical ultrasound (TUS), as well as other preoperative imaging modalities, in evaluating OPSCC volumes and compares this to post TORS pathological OPSCC volumes.
Methods: Forty-one patients undergoing TORS between 2021 and 2023 were included. TUS was performed in all 41 patients, of which 37 had preoperative CT, 16 had PET-CT and 15 had MRI. Tumor dimensions on TUS, CT, and MRI were measured in craniocaudal, anteroposterior, and mediolateral planes to compute tumor volumes. Preoperative PET-CTs were analyzed to compute the metabolic tumour volume (MTV). Pathological tumor volumes served as the gold standard for comparison.
Results: No statistically significant differences were found between pathological tumor volumes and those measured by TUS, CT, PET-CT, or MRI (p = 0.57, 0.47, 0.28, 0.29). Both TUS and PET-CT showed strong correlation with pathology (R = 0.92, p < 0.0001), followed by CT (R = 0.83, p < 0.0001) and MRI (R = 0.55, p = 0.031). The percent difference of radiologic volumes from pathology volumes was lowest for MRI (19.37 % ± 28.28), followed by TUS (26.12 % ± 20.97), PET-CT (32.59 % ± 21.95), and CT (39.94 % ± 62.94).
Conclusions: TUS demonstrates comparable accuracy to CT, PET-CT, and MRI in assessing primary tumor volumes in patients with oropharyngeal squamous cell carcinoma (OPSCC) undergoing TORS. The strong correlation of TUS with final pathology, combined with its relatively non-invasive transcervical (versus transoral) approach and real-time acquisition, suggests that TUS has the potential to supplement TORS with image guidance.
Keywords: Image-guided surgery; Intraoperative imaging; Transcervical ultrasound; Transoral robotic surgery.
Copyright © 2024. Published by Elsevier Ltd.