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Predictive model of pheochromocytoma based on the imaging features of the adrenal tumours

The purpose of our study was to develop a predictive model to rule out pheochromocytoma among adrenal tumours, based on unenhanced computed tomography (CT) and/or magnetic resonance imaging (MRI) features. We performed a retrospective multicentre study of 1131 patients presenting with adrenal lesion...

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Autores principales: Araujo-Castro, Marta, García Centeno, Rogelio, Robles Lázaro, Cristina, Parra Ramírez, Paola, Gracia Gimeno, Paola, Rojas-Marcos, Patricia Martín, Fernández-Ladreda, Mariana Tomé, Percovich Hualpa, Juan Carlos, Sampedro Núñez, Miguel, López-García, María-Carmen, Lamas, Cristina, Álvarez Escolá, Cristina, Calatayud Gutiérrez, María, Blanco Carrera, Concepción, de Miguel Novoa, Paz, Valdés Gallego, Nuria, Hanzu, Felicia, Marazuela, Mónica, Mora Porta, Mireia, Mínguez Ojeda, César, García Gómez Muriel, Isabel, Escobar-Morreale, Héctor F., Valderrabano, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854552/
https://www.ncbi.nlm.nih.gov/pubmed/35177692
http://dx.doi.org/10.1038/s41598-022-06655-0
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author Araujo-Castro, Marta
García Centeno, Rogelio
Robles Lázaro, Cristina
Parra Ramírez, Paola
Gracia Gimeno, Paola
Rojas-Marcos, Patricia Martín
Fernández-Ladreda, Mariana Tomé
Percovich Hualpa, Juan Carlos
Sampedro Núñez, Miguel
López-García, María-Carmen
Lamas, Cristina
Álvarez Escolá, Cristina
Calatayud Gutiérrez, María
Blanco Carrera, Concepción
de Miguel Novoa, Paz
Valdés Gallego, Nuria
Hanzu, Felicia
Marazuela, Mónica
Mora Porta, Mireia
Mínguez Ojeda, César
García Gómez Muriel, Isabel
Escobar-Morreale, Héctor F.
Valderrabano, Pablo
author_facet Araujo-Castro, Marta
García Centeno, Rogelio
Robles Lázaro, Cristina
Parra Ramírez, Paola
Gracia Gimeno, Paola
Rojas-Marcos, Patricia Martín
Fernández-Ladreda, Mariana Tomé
Percovich Hualpa, Juan Carlos
Sampedro Núñez, Miguel
López-García, María-Carmen
Lamas, Cristina
Álvarez Escolá, Cristina
Calatayud Gutiérrez, María
Blanco Carrera, Concepción
de Miguel Novoa, Paz
Valdés Gallego, Nuria
Hanzu, Felicia
Marazuela, Mónica
Mora Porta, Mireia
Mínguez Ojeda, César
García Gómez Muriel, Isabel
Escobar-Morreale, Héctor F.
Valderrabano, Pablo
author_sort Araujo-Castro, Marta
collection PubMed
description The purpose of our study was to develop a predictive model to rule out pheochromocytoma among adrenal tumours, based on unenhanced computed tomography (CT) and/or magnetic resonance imaging (MRI) features. We performed a retrospective multicentre study of 1131 patients presenting with adrenal lesions including 163 subjects with histological confirmation of pheochromocytoma (PHEO), and 968 patients showing no clinical suspicion of pheochromocytoma in whom plasma and/or urinary metanephrines and/or catecholamines were within reference ranges (non-PHEO). We found that tumour size was significantly larger in PHEO than non-PHEO lesions (44.3 ± 33.2 versus 20.6 ± 9.2 mm respectively; P < 0.001). Mean unenhanced CT attenuation was higher in PHEO (52.4 ± 43.1 versus 4.7 ± 17.9HU; P < 0.001). High lipid content in CT was more frequent among non-PHEO (83.6% versus 3.8% respectively; P < 0.001); and this feature alone had 83.6% sensitivity and 96.2% specificity to rule out pheochromocytoma with an area under the receiver operating characteristics curve (AUC-ROC) of 0.899. The combination of high lipid content and tumour size improved the diagnostic accuracy (AUC-ROC 0.961, sensitivity 88.1% and specificity 92.3%). The probability of having a pheochromocytoma was 0.1% for adrenal lesions smaller than 20 mm showing high lipid content in CT. Ninety percent of non-PHEO presented loss of signal in the “out of phase” MRI sequence compared to 39.0% of PHEO (P < 0.001), but the specificity of this feature for the diagnosis of non-PHEO lesions low. In conclusion, our study suggests that sparing biochemical screening for pheochromocytoma might be reasonable in patients with adrenal lesions smaller than 20 mm showing high lipid content in the CT scan, if there are no typical signs and symptoms of pheochromocytoma.
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spelling pubmed-88545522022-02-18 Predictive model of pheochromocytoma based on the imaging features of the adrenal tumours Araujo-Castro, Marta García Centeno, Rogelio Robles Lázaro, Cristina Parra Ramírez, Paola Gracia Gimeno, Paola Rojas-Marcos, Patricia Martín Fernández-Ladreda, Mariana Tomé Percovich Hualpa, Juan Carlos Sampedro Núñez, Miguel López-García, María-Carmen Lamas, Cristina Álvarez Escolá, Cristina Calatayud Gutiérrez, María Blanco Carrera, Concepción de Miguel Novoa, Paz Valdés Gallego, Nuria Hanzu, Felicia Marazuela, Mónica Mora Porta, Mireia Mínguez Ojeda, César García Gómez Muriel, Isabel Escobar-Morreale, Héctor F. Valderrabano, Pablo Sci Rep Article The purpose of our study was to develop a predictive model to rule out pheochromocytoma among adrenal tumours, based on unenhanced computed tomography (CT) and/or magnetic resonance imaging (MRI) features. We performed a retrospective multicentre study of 1131 patients presenting with adrenal lesions including 163 subjects with histological confirmation of pheochromocytoma (PHEO), and 968 patients showing no clinical suspicion of pheochromocytoma in whom plasma and/or urinary metanephrines and/or catecholamines were within reference ranges (non-PHEO). We found that tumour size was significantly larger in PHEO than non-PHEO lesions (44.3 ± 33.2 versus 20.6 ± 9.2 mm respectively; P < 0.001). Mean unenhanced CT attenuation was higher in PHEO (52.4 ± 43.1 versus 4.7 ± 17.9HU; P < 0.001). High lipid content in CT was more frequent among non-PHEO (83.6% versus 3.8% respectively; P < 0.001); and this feature alone had 83.6% sensitivity and 96.2% specificity to rule out pheochromocytoma with an area under the receiver operating characteristics curve (AUC-ROC) of 0.899. The combination of high lipid content and tumour size improved the diagnostic accuracy (AUC-ROC 0.961, sensitivity 88.1% and specificity 92.3%). The probability of having a pheochromocytoma was 0.1% for adrenal lesions smaller than 20 mm showing high lipid content in CT. Ninety percent of non-PHEO presented loss of signal in the “out of phase” MRI sequence compared to 39.0% of PHEO (P < 0.001), but the specificity of this feature for the diagnosis of non-PHEO lesions low. In conclusion, our study suggests that sparing biochemical screening for pheochromocytoma might be reasonable in patients with adrenal lesions smaller than 20 mm showing high lipid content in the CT scan, if there are no typical signs and symptoms of pheochromocytoma. Nature Publishing Group UK 2022-02-17 /pmc/articles/PMC8854552/ /pubmed/35177692 http://dx.doi.org/10.1038/s41598-022-06655-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Araujo-Castro, Marta
García Centeno, Rogelio
Robles Lázaro, Cristina
Parra Ramírez, Paola
Gracia Gimeno, Paola
Rojas-Marcos, Patricia Martín
Fernández-Ladreda, Mariana Tomé
Percovich Hualpa, Juan Carlos
Sampedro Núñez, Miguel
López-García, María-Carmen
Lamas, Cristina
Álvarez Escolá, Cristina
Calatayud Gutiérrez, María
Blanco Carrera, Concepción
de Miguel Novoa, Paz
Valdés Gallego, Nuria
Hanzu, Felicia
Marazuela, Mónica
Mora Porta, Mireia
Mínguez Ojeda, César
García Gómez Muriel, Isabel
Escobar-Morreale, Héctor F.
Valderrabano, Pablo
Predictive model of pheochromocytoma based on the imaging features of the adrenal tumours
title Predictive model of pheochromocytoma based on the imaging features of the adrenal tumours
title_full Predictive model of pheochromocytoma based on the imaging features of the adrenal tumours
title_fullStr Predictive model of pheochromocytoma based on the imaging features of the adrenal tumours
title_full_unstemmed Predictive model of pheochromocytoma based on the imaging features of the adrenal tumours
title_short Predictive model of pheochromocytoma based on the imaging features of the adrenal tumours
title_sort predictive model of pheochromocytoma based on the imaging features of the adrenal tumours
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854552/
https://www.ncbi.nlm.nih.gov/pubmed/35177692
http://dx.doi.org/10.1038/s41598-022-06655-0
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