4.7 Article

Quantification of vessel separation using the carotid-jugular angle to predict the nerve origin of neck peripheral nerve sheath tumours: a pooled analysis of cases from the literature and a single-center cohort

Journal

INTERNATIONAL JOURNAL OF SURGERY
Volume 109, Issue 9, Pages 2704-2713

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/JS9.0000000000000491

Keywords

cervical nerve; peripheral nerve sheath tumours; schwannoma; sympathetic nerve; vagus nerve

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This study introduced the parameter of carotid-jugular angle (CJA) to predict the nerve origin in neck peripheral nerve sheath tumours (PNSTs). The results showed that CJA was associated with different nerve origins and could serve as a predictor for specific nerve origins. The findings provide evidence for surgical treatment and patient counselling.
Background: Postoperative nerve palsy is a major complication following resection of neck peripheral nerve sheath tumours (PNSTs). Accurate preoperative identification of the nerve origin (NO) can improve surgical outcomes and patient counselling. Material and methods: This study was a retrospective cohort and quantitative analysis of the literature. The authors introduced a parameter, the carotid-jugular angle (CJA), to differentiate the NO. A literature review of neck PNST cases from 2010 to 2022 was conducted. The CJA was measured from eligible imaging data, and quantitative analysis was performed to evaluate the ability of the CJA to predict the NO. External validation was performed using a single-centre cohort from 2008 to 2021. Results: In total, 17 patients from our single-centre cohort and 88 patients from the literature were analyzed. Among them, 53, 45, and 7 patients had sympathetic, vagus, and cervical nerve PNSTs, respectively. Vagus nerve tumours had the largest CJA, followed by sympathetic tumours, whereas cervical nerve tumours had the smallest CJA (P<0.001). Multivariate logistic regression identified a larger CJA as a predictor of vagus NO (P<0.001), and receiver operating characteristic (ROC) analysis showed an area under the curve (AUC) of 0.907 (0.831-0.951) for the CJA to predict vagus NO (P<0.001). External validation showed an AUC of 0.928 (0.727-0.988) (P<0.001). Compared with the AUC of the previously proposed qualitative method (AUC=0.764, 0.673-0.839), that of the CJA was greater (P=0.011). The cut-off value identified to predict vagus NO was greater than or equal to 100 degrees. Receiver operating characteristic analysis showed an AUC of 0.909 (0.837-0.956) for the CJA to predict cervical NO (P<0.001), with a cut-off value less than 38.5 degrees. Conclusions: A CJA greater than or equal to 100 degrees predicted a vagus NO and a CJA less than 100 degrees predicted a non-vagus NO. Moreover, a CJA less than 38.5 was associated with an increased likelihood of cervical NO.

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