Toward a Diagnostic Imaging Algorithm for Undifferentiated Pulsatile Tinnitus
Decisions around the diagnostic evaluation for pulsatile tinnitus (PT) remain challenging. We describe the usage patterns and diagnostic accuracy of imaging modalities and propose an evidence-based diagnostic approach for undifferentiated PT. Retrospective. Single otology/neurotology clinic. Patient...
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Published in | Otology & neurotology |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.09.2024
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Online Access | Get more information |
ISSN | 1537-4505 |
DOI | 10.1097/MAO.0000000000004254 |
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Abstract | Decisions around the diagnostic evaluation for pulsatile tinnitus (PT) remain challenging. We describe the usage patterns and diagnostic accuracy of imaging modalities and propose an evidence-based diagnostic approach for undifferentiated PT.
Retrospective.
Single otology/neurotology clinic.
Patients with PT presenting between 2009 and 2020.
Sensitivity, specificity, diagnostic yield, and diagnostic accuracy.
A total of 315 subjects met inclusion criteria (74% female, mean ± SD age = 52 ± 17 years). Subjects were divided into four cohorts based on exam findings: normal (n = 229), venous cohort (n = 34), arterial cohort (n = 16), and outer/middle ear pathology cohort (n = 40). In total, 53% of patients received a nonidiopathic diagnosis for PT. The most common identifiable cause was sigmoid sinus dehiscence (78%) in the venous cohort, carotid stenosis (36%) in the arterial cohort, and glomus tumor (56%) in the outer/middle ear pathology cohort. There was a higher diagnostic rate among patients with positive exam findings compared to those with unrevealing exams (p = 0.04). Imaging studies with the highest diagnostic yield were computed tomography (CT) venography (44%), formal angiography (42%), and magnetic resonance venography (40%); studies with the highest specificity were formal angiography (0.82), CT angiography (0.67), and CT venography (0.67). A diagnostic algorithm is proposed.
Reaching a diagnosis in patients with PT requires a systematic approach, taking into account both clinical and radiographic information. Physical examination is a key first step for differentiating patients into venous, arterial, and other cohorts to narrow down the likely pathology and determine which radiographic studies have the highest yield and accuracy. |
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AbstractList | Decisions around the diagnostic evaluation for pulsatile tinnitus (PT) remain challenging. We describe the usage patterns and diagnostic accuracy of imaging modalities and propose an evidence-based diagnostic approach for undifferentiated PT.
Retrospective.
Single otology/neurotology clinic.
Patients with PT presenting between 2009 and 2020.
Sensitivity, specificity, diagnostic yield, and diagnostic accuracy.
A total of 315 subjects met inclusion criteria (74% female, mean ± SD age = 52 ± 17 years). Subjects were divided into four cohorts based on exam findings: normal (n = 229), venous cohort (n = 34), arterial cohort (n = 16), and outer/middle ear pathology cohort (n = 40). In total, 53% of patients received a nonidiopathic diagnosis for PT. The most common identifiable cause was sigmoid sinus dehiscence (78%) in the venous cohort, carotid stenosis (36%) in the arterial cohort, and glomus tumor (56%) in the outer/middle ear pathology cohort. There was a higher diagnostic rate among patients with positive exam findings compared to those with unrevealing exams (p = 0.04). Imaging studies with the highest diagnostic yield were computed tomography (CT) venography (44%), formal angiography (42%), and magnetic resonance venography (40%); studies with the highest specificity were formal angiography (0.82), CT angiography (0.67), and CT venography (0.67). A diagnostic algorithm is proposed.
Reaching a diagnosis in patients with PT requires a systematic approach, taking into account both clinical and radiographic information. Physical examination is a key first step for differentiating patients into venous, arterial, and other cohorts to narrow down the likely pathology and determine which radiographic studies have the highest yield and accuracy. |
Author | Quimby, Alexandra E Wong, Kevin Cao, Austin C Bigelow, Douglas C Brant, Jason A Hwa, Tiffany P Cavarocchi, Caitlin Eliades, Steven J Ruckenstein, Michael J Choudhri, Omar A |
Author_xml | – sequence: 1 givenname: Caitlin surname: Cavarocchi fullname: Cavarocchi, Caitlin organization: Department of Otorhinolaryngology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA – sequence: 2 givenname: Kevin surname: Wong fullname: Wong, Kevin organization: Department of Otorhinolaryngology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA – sequence: 3 givenname: Austin C surname: Cao fullname: Cao, Austin C organization: Department of Otorhinolaryngology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA – sequence: 4 givenname: Tiffany P surname: Hwa fullname: Hwa, Tiffany P organization: Department of Otorhinolaryngology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA – sequence: 5 givenname: Alexandra E surname: Quimby fullname: Quimby, Alexandra E organization: Department of Otolaryngology, State University of New York Upstate, Syracuse, NY – sequence: 6 givenname: Steven J surname: Eliades fullname: Eliades, Steven J organization: Department of Head and Neck Surgery and Communication Sciences, Duke University School of Medicine, Durham, NC – sequence: 7 givenname: Michael J surname: Ruckenstein fullname: Ruckenstein, Michael J organization: Department of Otorhinolaryngology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA – sequence: 8 givenname: Douglas C surname: Bigelow fullname: Bigelow, Douglas C organization: Department of Otorhinolaryngology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA – sequence: 9 givenname: Omar A surname: Choudhri fullname: Choudhri, Omar A organization: Department of Otorhinolaryngology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA – sequence: 10 givenname: Jason A surname: Brant fullname: Brant, Jason A |
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