Literature DB >> 30031460

Practical Approach to Adrenal Imaging.

Khaled M Elsayes1, Sally Emad-Eldin2, Ajaykumar C Morani3, Corey T Jensen3.   

Abstract

Various pathologies can affect the adrenal gland. Noninvasive cross-sectional imaging is used for evaluating adrenal masses. Accurate diagnosis of adrenal lesions is critical, especially in cancer patients; the presence of adrenal metastasis changes prognosis and treatment. Characterization of adrenal lesions predominantly relies on morphologic and physiologic features to enable correct diagnosis and management. Key diagnostic features to differentiate benign and malignant adrenal lesions include presence/absence of intracytoplasmic lipid, fat cells, hemorrhage, calcification, or necrosis and locoregional and distant disease; enhancement pattern and washout values; and lesion size and stability. This article reviews a spectrum of adrenal pathologies. Published by Elsevier Inc.

Entities:  

Keywords:  Adenoma; Adrenal; Adrenocortical carcinoma; Computed tomography; Magnetic resonance; Pheochromocytoma

Mesh:

Year:  2018        PMID: 30031460     DOI: 10.1016/j.ucl.2018.03.005

Source DB:  PubMed          Journal:  Urol Clin North Am        ISSN: 0094-0143            Impact factor:   2.241


  4 in total

1.  Detection of adrenal mass during an educational point-of-care ultrasound in the emergency department.

Authors:  Kay Negishi; Jorge Short Apellaniz; Daniel Ratanski; Sarah E Frasure; Andrew S Liteplo; Hamid Shokoohi
Journal:  World J Emerg Med       Date:  2021

2.  Diagnostic efficacy of 18F-FDG PET/CT in patients with adrenal incidentaloma.

Authors:  Gamze Akkuş; Isa Burak Güney; Fesih Ok; Mehtap Evran; Volkan Izol; Şeyda Erdoğan; Yıldırım Bayazıt; Murat Sert; Tamer Tetiker
Journal:  Endocr Connect       Date:  2019-07       Impact factor: 3.335

Review 3.  Adrenal Mass Characterization in the Era of Quantitative Imaging: State of the Art.

Authors:  Maxime Barat; Anne-Ségolène Cottereau; Sébastien Gaujoux; Florence Tenenbaum; Mathilde Sibony; Jérôme Bertherat; Rossella Libé; Martin Gaillard; Anne Jouinot; Guillaume Assié; Christine Hoeffel; Philippe Soyer; Anthony Dohan
Journal:  Cancers (Basel)       Date:  2022-01-23       Impact factor: 6.639

4.  A Nomogram for Predicting Intraoperative Hemodynamic Instability in Patients With Pheochromocytoma.

Authors:  Zhiqiang Zhang; Yunlin Ye; Jiajie Yu; Shufen Liao; Weibin Pan; Yan Guo; Shuangjian Jiang; Cheng Luo; Fufu Zheng
Journal:  Front Endocrinol (Lausanne)       Date:  2022-01-06       Impact factor: 5.555

  4 in total

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