Evidence map›Paper›PMID 35177692›Full record

ArticleScientific reports2022

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

Marta Araujo-Castro, Rogelio García Centeno, Cristina Robles Lázaro, Paola Parra Ramírez, Paola Gracia Gimeno, Patricia Martín Rojas-Marcos, Mariana Tomé Fernández-Ladreda, Juan Carlos Percovich Hualpa, Miguel Sampedro Núñez, María-Carmen López-García and 13 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 13 institutions in 1 country.

Marta Araujo-CastroDepartment of Endocrinology & Nutrition, Hospital Universitario Ramón y Cajal, Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Universidad de Alcalá, Madrid, Spain. marta.araujo@salud.madrid.org.ORCID 0000-0002-0519-0072
Rogelio García CentenoDepartment of Endocrinology & Nutrition, Hospital Universitario Gregorio Marañón, Madrid, Spain.
Cristina Robles LázaroDepartment of Endocrinology & Nutrition, Hospital Universitario Virgen de La Concha, Zamora, Spain.
Paola Parra RamírezDepartment of Endocrinology & Nutrition, Hospital Universitario La Paz, Madrid, Spain.
Paola Gracia GimenoDepartment of Endocrinology & Nutrition, Hospital Universitario Rollo Villanova, Zaragoza, Spain.
Patricia Martín Rojas-MarcosDepartment of Endocrinology & Nutrition, Hospital Universitario La Paz, Madrid, Spain.
Mariana Tomé Fernández-LadredaDepartment of Endocrinology & Nutrition, Hospital Universitario Puerto Real, Cádiz, Spain.
Juan Carlos Percovich HualpaDepartment of Endocrinology & Nutrition, Hospital Universitario Gregorio Marañón, Madrid, Spain.
Miguel Sampedro NúñezDepartment of Endocrinology & Nutrition, Hospital Universitario La Princesa, Madrid, Spain.
María-Carmen López-GarcíaDepartment of Endocrinology & Nutrition, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
Cristina LamasDepartment of Endocrinology & Nutrition, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
Cristina Álvarez EscoláDepartment of Endocrinology & Nutrition, Hospital Universitario La Paz, Madrid, Spain.
María Calatayud GutiérrezDepartment of Endocrinology & Nutrition, Hospital Universitario Doce de Octubre, Madrid, Spain.
Concepción Blanco CarreraDepartment of Endocrinology & Nutrition, Hospital Universitario Principe de Asturias, Madrid, Spain.
Paz de Miguel NovoaDepartment of Endocrinology & Nutrition, Hospital Universitario Clínico San Carlos, Madrid, Spain.
Nuria Valdés GallegoDepartment of Endocrinology & Nutrition, Hospital Universitario de Cabueñes, Asturias, Spain.
Felicia HanzuDepartment of Endocrinology & Nutrition, Hospital Clinic, Barcelona, Spain.
Mónica MarazuelaDepartment of Endocrinology & Nutrition, Hospital Universitario La Princesa, Madrid, Spain.
Mireia Mora PortaDepartment of Endocrinology & Nutrition, Hospital Clinic, Barcelona, Spain.
César Mínguez OjedaDepartment of Urology, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Isabel García Gómez MurielDepartment of Diagnostic Imaging, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Héctor F Escobar-MorrealeDepartment of Endocrinology & Nutrition, Hospital Universitario Ramón y Cajal, Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Universidad de Alcalá, Madrid, Spain.
Pablo ValderrabanoDepartment of Endocrinology & Nutrition, Hospital Universitario Ramón y Cajal, Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Universidad de Alcalá, Madrid, Spain. pablo.valderrabano@salud.madrid.org.ORCID 0000-0001-8379-2709
Hospital Universitario La Paz · ESUniversidad de Alcalá · ESComplejo Hospitalario Universitario de Albacete · ESHospital Clínic de Barcelona · ESHospital General Universitario Gregorio Marañón · ESHospital Universitario de La Princesa · ESHospital Universitario Ramón y Cajal · ESHospital Clínico San Carlos · ESHospital Universitario 12 De Octubre · ESHospital Universitario De Cabueñes · ESHospital Universitario Príncipe de Asturias · ESHospital Universitario Puerto Real · ESHospital Virgen de la Concha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Adrenal Gland NeoplasmsModels, BiologicalPheochromocytomaAdultAgedFemaleHumansLipidsMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedLipids

Identifiers

PMID35177692
PMCPMC8854552
OpenAlexW4212990954

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.