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

Hisham Mehanna; Pankaj Mistry; Pawel Golusinski; Pasquale Di Maio; Paul Nankivell; Francesco Snider; Angela M.R. Ferrante; Nausica Montalto; Piero Nicolai; Alessandra Marcantoni; Cesare Grandi; Marco Zavatta; Franco Grego; Kataryna Malec; Sefik Hosal; Nilda Suslu; Oguz Kuscu; Ignacio Torrealba; Francisco Valdes; Neil Sharma; John Ayuk; Peter Monksfield; Richard Irving; Janet A. Dunn; Mark Kay; Daniele Borsetto

doi:10.1002/hed.26844

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

Hisham Mehanna^*, Pankaj Mistry, Pawel Golusinski, Pasquale Di Maio, Paul Nankivell, Francesco Snider, Angela M.R. Ferrante, Nausica Montalto, Piero Nicolai, Alessandra Marcantoni, Cesare Grandi, Marco Zavatta, Franco Grego, Kataryna Malec, Sefik Hosal, Nilda Suslu, Oguz Kuscu, Ignacio Torrealba, Francisco Valdes, Neil SharmaJohn Ayuk, Peter Monksfield, Richard Irving, Janet A. Dunn, Mark Kay, Daniele Borsetto

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

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.

Original language	English
Pages (from-to)	3448-3458
Journal	Head and Neck
Volume	43
Issue number	11
Early online date	21 Aug 2021
DOIs	https://doi.org/10.1002/hed.26844
Publication status	Published - Nov 2021

Bibliographical note

Funding Information:
Professor Mehanna is a National Institute for Health Research (NIHR) Senior Investigator. The views expressed in this article are those of the author(s) and not necessarily those of the NIHR, or the Department of Health and Social Care. Professor Mehanna is funded by the National Institute for Health Research (NIHR). The study sponsor(s) made no contribution to study design, collection, analysis, and interpretation of data; writing of the report; or the decision to submit the paper for publication.

Publisher Copyright:
© 2021 Wiley Periodicals LLC.

Keywords

carotid body tumor
classification
paraganglioma
Shamblin
surgery

ASJC Scopus subject areas

Otorhinolaryngology

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Cite this

Mehanna, H., Mistry, P., Golusinski, P., Maio, P. D., Nankivell, P., Snider, F., Ferrante, A. M. R., Montalto, N., Nicolai, P., Marcantoni, A., Grandi, C., Zavatta, M., Grego, F., Malec, K., Hosal, S., Suslu, N., Kuscu, O., Torrealba, I., Valdes, F., ... Borsetto, D. (2021). Development and validation of an improved classification and risk stratification system for carotid body tumors: a multinational collaborative cohort study. Head and Neck, 43(11), 3448-3458. https://doi.org/10.1002/hed.26844

@article{a291838b3ee24a6fa881557f841d0af8,

title = "Development and validation of an improved classification and risk stratification system for carotid body tumors: a multinational collaborative cohort study",

abstract = "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.",

keywords = "carotid body tumor, classification, paraganglioma, Shamblin, surgery",

author = "Hisham Mehanna and Pankaj Mistry and Pawel Golusinski and Maio, {Pasquale Di} and Paul Nankivell and Francesco Snider and Ferrante, {Angela M.R.} and Nausica Montalto and Piero Nicolai and Alessandra Marcantoni and Cesare Grandi and Marco Zavatta and Franco Grego and Kataryna Malec and Sefik Hosal and Nilda Suslu and Oguz Kuscu and Ignacio Torrealba and Francisco Valdes and Neil Sharma and John Ayuk and Peter Monksfield and Richard Irving and Dunn, {Janet A.} and Mark Kay and Daniele Borsetto",

note = "Funding Information: Professor Mehanna is a National Institute for Health Research (NIHR) Senior Investigator. The views expressed in this article are those of the author(s) and not necessarily those of the NIHR, or the Department of Health and Social Care. Professor Mehanna is funded by the National Institute for Health Research (NIHR). The study sponsor(s) made no contribution to study design, collection, analysis, and interpretation of data; writing of the report; or the decision to submit the paper for publication. Publisher Copyright: {\textcopyright} 2021 Wiley Periodicals LLC.",

year = "2021",

month = nov,

doi = "10.1002/hed.26844",

language = "English",

volume = "43",

pages = "3448--3458",

journal = "Head and Neck",

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Mehanna, H, Mistry, P, Golusinski, P, Maio, PD, Nankivell, P, Snider, F, Ferrante, AMR, Montalto, N, Nicolai, P, Marcantoni, A, Grandi, C, Zavatta, M, Grego, F, Malec, K, Hosal, S, Suslu, N, Kuscu, O, Torrealba, I, Valdes, F, Sharma, N, Ayuk, J, Monksfield, P, Irving, R, Dunn, JA, Kay, M & Borsetto, D 2021, 'Development and validation of an improved classification and risk stratification system for carotid body tumors: a multinational collaborative cohort study', Head and Neck, vol. 43, no. 11, pp. 3448-3458. https://doi.org/10.1002/hed.26844

TY - JOUR

T1 - Development and validation of an improved classification and risk stratification system for carotid body tumors

T2 - a multinational collaborative cohort study

AU - Mehanna, Hisham

AU - Mistry, Pankaj

AU - Golusinski, Pawel

AU - Maio, Pasquale Di

AU - Nankivell, Paul

AU - Snider, Francesco

AU - Ferrante, Angela M.R.

AU - Montalto, Nausica

AU - Nicolai, Piero

AU - Marcantoni, Alessandra

AU - Grandi, Cesare

AU - Zavatta, Marco

AU - Grego, Franco

AU - Malec, Kataryna

AU - Hosal, Sefik

AU - Suslu, Nilda

AU - Kuscu, Oguz

AU - Torrealba, Ignacio

AU - Valdes, Francisco

AU - Sharma, Neil

AU - Ayuk, John

AU - Monksfield, Peter

AU - Irving, Richard

AU - Dunn, Janet A.

AU - Kay, Mark

AU - Borsetto, Daniele

N1 - Funding Information: Professor Mehanna is a National Institute for Health Research (NIHR) Senior Investigator. The views expressed in this article are those of the author(s) and not necessarily those of the NIHR, or the Department of Health and Social Care. Professor Mehanna is funded by the National Institute for Health Research (NIHR). The study sponsor(s) made no contribution to study design, collection, analysis, and interpretation of data; writing of the report; or the decision to submit the paper for publication. Publisher Copyright: © 2021 Wiley Periodicals LLC.

PY - 2021/11

Y1 - 2021/11

N2 - 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.

AB - 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.

KW - carotid body tumor

KW - classification

KW - paraganglioma

KW - Shamblin

KW - surgery

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U2 - 10.1002/hed.26844

DO - 10.1002/hed.26844

M3 - Article

AN - SCOPUS:85113157295

SN - 1043-3074

VL - 43

SP - 3448

EP - 3458

JO - Head and Neck

JF - Head and Neck

IS - 11

ER -

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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