Characteristic CT features of pheochromocytomas - probability model calculation tool based on a multicentric study.


Journal

Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia
ISSN: 1804-7521
Titre abrégé: Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub
Pays: Czech Republic
ID NLM: 101140142

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 16 07 2019
accepted: 09 09 2019
pubmed: 24 9 2019
medline: 25 2 2020
entrez: 24 9 2019
Statut: ppublish

Résumé

The aim of the study was to evaluate the CT features of adrenal tumors in an effort to identify features specific to pheochromocytomas and second, to define a feasible probability calculation model. This multicentric retrospective study included patients from the period 2003 to 2017 with an appropriate CT examination and a histological diagnosis of an adrenal adenoma, pheochromocytoma, adrenocortical carcinoma, or metastasis. In total, 346 patients were suitable for the CT image analysis, which included evaluation of the largest diameter, the shape of the lesion, the presence of central necrosis and its margins, and the presence of an enhancing peripheral rim ("ring sign"). Pheochromocytomas have a significantly more spherical shape (P<0.001), whereas an elliptical shape significantly reduces the probability of a pheochromocytoma (odds ratio = 0.015), as does another shape (odds ratio = 0.006). A "ring sign" is also more frequent in pheochromocytomas compared to other adrenal tumors (P=0.001, odds ratio = 6.49). A sharp necrosis also increases the probability of a pheochromocytoma more than unsharp necrosis (odds ratio 231.6 vs. 20.2). The probability calculation model created on the basis of the results confirms a high sensitivity and specificity (80% and 95%). This study confirms the value of anatomical features in the assessment of adrenal masses with the ability to significantly improve the identification of pheochromocytomas. Advanced assessment of the tumor shape was defined and a original comprehensive calculating tool of the pheochromocytoma probability was created on the basis of the results presented here and could be used in clinical routine.

Identifiants

pubmed: 31544898
doi: 10.5507/bp.2019.047
pmc: PMC6875693
mid: NIHMS1541566
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

212-219

Subventions

Organisme : Intramural NIH HHS
ID : ZIA HD008735-18
Pays : United States

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Auteurs

Filip Ctvrtlik (F)

Department of Radiology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.

Zbynek Tudos (Z)

Department of Radiology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.

Paulina Szasz (P)

Department of Radiology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.

Zuzana Sedlackova (Z)

Department of Radiology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.

Igor Hartmann (I)

Department of Urology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.

Jan Schovanek (J)

Department of Internal Medicine III - Nephrology, Rheumatology, and Endocrinology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.

Zdenek Frysak (Z)

Department of Internal Medicine III - Nephrology, Rheumatology, and Endocrinology, University Hospital Olomouc and Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.

Iva Macova (I)

Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.

Tomas Zelinka (T)

Department of Endocrinology and Metabolism, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.

Milan Hora (M)

Department of Urology, Faculty Hospital Pilsen and Faculty of Medicine in Pilsen, Charles University, Czech Republic.

Eva Kocova (E)

Department of Radiology, University Hospital Hradec Kralove and Faculty of Medicine in Hradec Kralove, Charles University, Czech Republic.

Jaroslav Pacovsky (J)

Department of Urology, University Hospital Hradec Kralove and Faculty of Medicine in Hradec Kralove, Charles University, Czech Republic.

Michal Krsek (M)

Second Department of Internal Medicine, Third Faculty of Medicine, Charles University and Royal Vinohrady Teaching Hospital, Prague, Czech Republic.

Viera Lehotska (V)

Second Radiology Department, Faculty of Medicine, Comenius University in Bratislava and St. Elizabeth Cancer Institute, Bratislava, Slovakia.

Emilia Mojtova (E)

Department of Endocrinology, Slovak Medical University and St. Elizabeth Cancer Institute, Bratislava, Slovakia.

Josef Molnar (J)

Department of Algebra and Geometry, Faculty of Science, Palacky University Olomouc, Czech Republic.

Vladimir Vanek (V)

Department of Algebra and Geometry, Faculty of Science, Palacky University Olomouc, Czech Republic.

Karel Pacak (K)

Section on Medical Neuroendocrinology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.

Jan Baxa (J)

Department of Imaging Methods, University Hospital Pilsen and Faculty of Medicine in Pilsen, Charles University, Czech Republic.

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Classifications MeSH