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Araujo-Castro M, García Sanz I, Mínguez Ojeda C, Calatayud M, Hanzu FA, Mora M, Vicente Delgado A, Carrera CB, de Miguel Novoa P, Del Carmen López García M, Manjón-Miguélez L, Rodríguez de Vera Gómez P, Del Castillo Tous M, Barahona San Millán R, Recansens M, Fernández-Ladreda MT, Valdés N, Gracia Gimeno P, Robles Lazaro C, Michalopoulou T, Gómez Dos Santos V, Alvarez-Escola C, García Centeno R, Lamas C, Herrera-Martínez A. An Integrated CT and MRI Imaging Model to Differentiate between Adrenal Adenomas and Pheochromocytomas. Cancers (Basel) 2023; 15:3736. [PMID: 37509397 PMCID: PMC10378495 DOI: 10.3390/cancers15143736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/05/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
PURPOSE to perform an external validation of our predictive model to rule out pheochromocytoma (PHEO) based on unenhanced CT in a cohort of patients with PHEOs and adenomas who underwent adrenalectomy. METHODS The predictive model was previously developed in a retrospective cohort of 1131 patients presenting with adrenal lesions. In the present study, we performed an external validation of the model in another cohort of 214 patients with available histopathological results. RESULTS For the external validation, 115 patients with PHEOs and 99 with adenomas were included. Our previously described predictive model combining the variables of high lipid content and tumor size in unenhanced CT (AUC-ROC: 0.961) had a lower diagnostic accuracy in our current study population for the prediction of PHEO (AUC: 0.750). However, when we excluded atypical adenomas (with Hounsfield units (HU) > 10, n = 39), the diagnostic accuracy increased to 87.4%. In addition, in the whole cohort (including atypical adenomas), when MRI information was included in the model, the diagnostic accuracy increased to up to 85% when the variables tumor size, high lipid content in an unenhanced CT scan, and hyperintensity in the T2 sequence in MRI were included. The probability of PHEO was <0.3% for adrenal lesions <20 mm with >10 HU and without hyperintensity in T2. CONCLUSION Our study confirms that our predictive model combining tumor size and lipid content has high reliability for the prediction of PHEO when atypical adrenal lesions are excluded. However, for atypical adrenal lesions with >10 HU in an unenhanced CT scan, MRI information is necessary for a proper exclusion of the PHEO diagnosis.
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Affiliation(s)
- Marta Araujo-Castro
- Endocrinology & Nutrition Department, Hospital Universitario Ramón y Cajal, Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), 28034 Madrid, Spain
- Medicine Departmen, University of Alcalá, 28801 Madrid, Spain
| | - Iñigo García Sanz
- General & Digestive Surgery Department, Hospital Universitario de La Princesa, 28006 Madrid, Spain
| | - César Mínguez Ojeda
- Urology Department, Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain
| | - María Calatayud
- Endocrinology & Nutrition Department, Hospital Universitario Doce de Octubre, 28041 Madrid, Spain
| | - Felicia A Hanzu
- Endocrinology & Nutrition Department, Hospital Clinic, 08036 Barcelona, Spain
| | - Mireia Mora
- Endocrinology & Nutrition Department, Hospital Clinic, 08036 Barcelona, Spain
| | | | - Concepción Blanco Carrera
- Endocrinology & Nutrition Department, Hospital Universitario Príncipe de Asturias, 28805 Madrid, Spain
| | - Paz de Miguel Novoa
- Endocrinology & Nutrition Department, Hospital Clínico San Carlos, 28040 Madrid, Spain
| | | | - Laura Manjón-Miguélez
- Endocrinology & Nutrition Department, Hospital Universitario Central de Asturias, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
| | | | - María Del Castillo Tous
- Endocrinology & Nutrition Department, Hospital Universitario Virgen de la Macarena, 41009 Sevilla, Spain
| | | | - Mónica Recansens
- Endocrinology & Nutrition Department, Institut Català de la Salut Girona, 17001 Girona, Spain
| | | | - Nuria Valdés
- Endocrinology & Nutrition Department, Hospital Universitario de Cabueñes, 33394 Asturias, Spain
| | - Paola Gracia Gimeno
- Endocrinology & Nutrition Department, Hospital Royo Villanova, 50015 Zaragoza, Spain
| | - Cristina Robles Lazaro
- Endocrinology & Nutrition Department, Hospital Universitario de Salamanca, 37007 Salamanca, Spain
| | - Theodora Michalopoulou
- Department of Endocrinology and Nutrition, Joan XXIII University Hospital, 43005 Tarragona, Spain
| | | | | | - Rogelio García Centeno
- Endocrinology & Nutrition Department, Hospital Universitario Gregorio Marañón, 28029 Madrid, Spain
| | - Cristina Lamas
- Endocrinology & Nutrition Department, Hospital Universitario de Albacete, 02008 Albacete, Spain
| | - Aura Herrera-Martínez
- Department of Endocrinology and Nutrition, Reina Sofía Hospital, 31500 Córdoba, Spain
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