Development and validation of an improved classification and risk stratification system for carotid body tumors: Multinational collaborative cohort study

Background This study aims to develop and validate a new classification system that better predicts combined risk of neurological and neurovascular complications following CBT surgery, crucial for treatment decision‐making. Methods Multinational retrospective cohort study with 199 consecutive cases....

Full description

Saved in:
Bibliographic Details
Published in:Head & neck 2021-11, Vol.43 (11), p.3448-3458
Main Authors: Mehanna, Hisham, Mistry, Pankaj, Golusinski, Pawel, Di Maio, Pasquale, Nankivell, Paul, Snider, Francesco, Ferrante, Angela M. R., Montalto, Nausica, Nicolai, Piero, Marcantoni, Alessandra, Grandi, Cesare, Zavatta, Marco, Grego, Franco, Malec, Kataryna, Hosal, Sefik, Suslu, Nilda, Kuscu, Oguz, Torrealba, Ignacio, Valdes, Francisco, Sharma, Neil, Ayuk, John, Monksfield, Peter, Irving, Richard, Dunn, Janet A., Kay, Mark, Borsetto, Daniele
Format: Article
Language:English
Subjects:
Carotid body
carotid body tumor
Classification
Cohort analysis
Decision making
Neuroendocrine tumors
Neurological complications
paraganglioma
Shamblin
Statistical analysis
Surgery
Tumors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background This study aims to develop and validate a new classification system that better predicts combined risk of neurological and neurovascular complications following CBT surgery, crucial for treatment decision‐making. Methods Multinational retrospective cohort study with 199 consecutive cases. A cohort of 132 CBT cases was used to develop the new classification. To undertake external validation, assessment was made between the actual complication rate and predicted risk by the model on an independent cohort (n = 67). Results Univariate analyses showed statistically significant associations between developing a complication and the following factors: craniocaudal dimension, volume, Shamblin classification, and Mehanna types. In the multivariate prognostic model, only Mehanna type remained as a significant risk predictor. The risk of developing complications increases with increasing Mehanna type. Conclusions We have developed and then validated a new classification and risk stratification system for CBTs, which demonstrated better prognostic power for the risk of developing neurovascular complications after surgery.
ISSN:1043-3074
1097-0347
DOI:10.1002/hed.26844