Literature DB >> 31283455

Skull Base-related Lesions at Routine Head CT from the Emergency Department: Pearls, Pitfalls, and Lessons Learned.

Hernan R Bello1, Joseph A Graves1, Saurabh Rohatgi1, Mona Vakil1, Jennifer McCarty1, Rudy L Van Hemert1, Stephen Geppert1, Ryan B Peterson1.   

Abstract

Routine non-contrast material-enhanced head CT is one of the most frequently ordered studies in the emergency department. Skull base-related pathologic entities, often depicted on the first or last images of a routine head CT study, can be easily overlooked in the emergency setting if not incorporated in the interpreting radiologist's search pattern, as the findings can be incompletely imaged. Delayed diagnosis, misdiagnosis, or lack of recognition of skull base pathologic entities can negatively impact patient care. This article reviews and illustrates the essential skull base anatomy and common blind spots that are important to radiologists who interpret nonenhanced head CT images in the acute setting. The imaging characteristics of important "do not miss" lesions are emphasized and categorized by their cause and location within the skull base, and the potential differential diagnoses are discussed. An interpretation checklist to improve diagnostic accuracy is provided. ©RSNA, 2019.

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Year:  2019        PMID: 31283455     DOI: 10.1148/rg.2019180118

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  6 in total

1.  Can Optic Nerve Sheath Images on a Thin-Slice Brain Computed Tomography Reconstruction Predict the Neurological Outcomes in Cardiac Arrest Survivors?

Authors:  Sung Ho Kwon; Sang Hoon Oh; Jinhee Jang; Soo Hyun Kim; Kyu Nam Park; Chun Song Youn; Han Joon Kim; Jee Yong Lim; Hyo Joon Kim; Hyo Jin Bang
Journal:  J Clin Med       Date:  2022-06-26       Impact factor: 4.964

2.  Split hypoglossal facial anastomosis for facial nerve palsy due to skull base fractures: A case report.

Authors:  Eko Prasetyo; Maximillian Christian Oley; Muhammad Faruk
Journal:  Ann Med Surg (Lond)       Date:  2020-09-09

3.  Deep learning versus iterative image reconstruction algorithm for head CT in trauma.

Authors:  Zlatan Alagic; Jacqueline Diaz Cardenas; Kolbeinn Halldorsson; Vitali Grozman; Stig Wallgren; Chikako Suzuki; Johan Helmenkamp; Seppo K Koskinen
Journal:  Emerg Radiol       Date:  2022-01-05

4.  Radiological Diagnosis of a Rare Prepontine Lesion: Ecchordosis Physaliphora.

Authors:  Nilanjan Sarkar; Somen Chakravarthy; Rohit Chakravarty; Sandipan Mukhopadhyay
Journal:  Cureus       Date:  2022-04-21

5.  Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies.

Authors:  Almut Kundisch; Alexander Hönning; Sven Mutze; Lutz Kreissl; Frederik Spohn; Johannes Lemcke; Maximilian Sitz; Paul Sparenberg; Leonie Goelz
Journal:  PLoS One       Date:  2021-11-29       Impact factor: 3.240

6.  Checklists to reduce diagnostic error: a systematic review of the literature using a human factors framework.

Authors:  Jawad Al-Khafaji; Ryan F Townsend; Whitney Townsend; Vineet Chopra; Ashwin Gupta
Journal:  BMJ Open       Date:  2022-04-29       Impact factor: 3.006

  6 in total

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