Literature DB >> 28362892

Sellar and Parasellar Imaging.

Carlos Zamora, Mauricio Castillo.   

Abstract

The skull base is a complex anatomical region that harbors many important neurovascular structures in a relatively confined space. The pathology that can develop at this site is varied, and many disease processes may present with similar clinical and neuroimaging findings. While computed tomography maintains a role in the evaluation of many entities and can, for instance, delineate osseous erosion with great detail and characterize calcified tumor matrices, magnetic resonance imaging (MRI) is the mainstay in the neuroimaging assessment of most pathology occurring at the skull base. Various MRI sequences have proven to be robust tools for tissue characterization and can provide information on the presence of lipids, paramagnetic and diamagnetic elements, and tumor cellularity, among others. In addition, currently available MRI techniques are able to generate high spatial resolution images that allow visualization of cranial nerves and their involvement by adjacent pathology. The information obtained from such examinations may aid in the distinction of these disease processes and in the accurate delineation of their extent prior to biopsy or treatment planning.
Copyright © 2016 by the Congress of Neurological Surgeons.

Entities:  

Keywords:  Neuroimaging; Parasellar; Pituitary; Sella; Skull base; Sphenoid; Suprasellar

Mesh:

Year:  2017        PMID: 28362892     DOI: 10.1093/neuros/nyw013

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  10 in total

Review 1.  Extracerebral anatomic blind spots in computed tomography (CT) head: a pictorial review of non-traumatic findings.

Authors:  Tze Phei Kee; Raphael Shih Zhu Yiin; Tien Jin Tan; Chin Kong Goh
Journal:  Emerg Radiol       Date:  2018-09-15

2.  Sellar, suprasellar, and parasellar masses: Imaging features and neurosurgical approaches.

Authors:  Bryan Lubomirsky; Zachary B Jenner; Morgan B Jude; Kiarash Shahlaie; Reza Assadsangabi; Vladimir Ivanovic
Journal:  Neuroradiol J       Date:  2021-12-02

Review 3.  Imaging findings in hypophysitis: a review.

Authors:  Ferdinando Caranci; Giuseppe Leone; Andrea Ponsiglione; Massimo Muto; Fabio Tortora; Mario Muto; Sossio Cirillo; Luca Brunese; Alfonso Cerase
Journal:  Radiol Med       Date:  2019-12-20       Impact factor: 3.469

Review 4.  Machine intelligence in non-invasive endocrine cancer diagnostics.

Authors:  Nicole M Thomasian; Ihab R Kamel; Harrison X Bai
Journal:  Nat Rev Endocrinol       Date:  2021-11-09       Impact factor: 43.330

5.  Hypopituitarism and cranial nerve involvement mimicking Tolosa-Hunt syndrome as the initially presenting feature of diffuse large B-cell lymphoma: a case report.

Authors:  Shohei Kishimoto; Shuhei Morita; Chiaki Kurimoto; Chie Kitahara; Tomoya Tsuji; Shinsuke Uraki; Ken Takeshima; Yasushi Furukawa; Hiroshi Iwakura; Hiroto Furuta; Masahiro Nishi; Taka-Aki Matsuoka
Journal:  BMC Endocr Disord       Date:  2022-03-14       Impact factor: 2.763

Review 6.  Xanthogranuloma of the Sellar Region: A Comprehensive Review of Neuroimaging in a Rare Inflammatory Entity.

Authors:  Vera Lozovanu; Carmen Emanuela Georgescu; Lavinia Maria Florescu; Carmen Georgiu; Horatiu Silaghi; Andrian Fratea; Cristina Alina Silaghi
Journal:  J Pers Med       Date:  2022-06-08

7.  Imaging findings of immunoglobin G4-related hypophysitis: A case report.

Authors:  Kun Lv; Xin Cao; Dao-Ying Geng; Jun Zhang
Journal:  World J Clin Cases       Date:  2022-09-16       Impact factor: 1.534

8.  Sellar and parasellar abnormalities.

Authors:  Gustavo Novelino Simão
Journal:  Radiol Bras       Date:  2018 Jan-Feb

9.  Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base.

Authors:  Yang Zhang; Lan Shang; Chaoyue Chen; Xuelei Ma; Xuejin Ou; Jian Wang; Fan Xia; Jianguo Xu
Journal:  Front Oncol       Date:  2020-05-28       Impact factor: 6.244

10.  Cyst Type Differentiates Rathke Cleft Cysts From Cystic Pituitary Adenomas.

Authors:  Sherwin Tavakol; Michael P Catalino; David J Cote; Xian Boles; Edward R Laws; Wenya Linda Bi
Journal:  Front Oncol       Date:  2021-12-10       Impact factor: 6.244

  10 in total

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