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Record W2330512847 · doi:10.1055/s-0035-1546726

Extended Retrolabyrinthine/Retrosigmoid Approach to a Transmastoid, Intracranial Speargun Injury

2015· article· en· W2330512847 on OpenAlexaff
Guyan Channer, Mark A. Morgan, Natalie Whylie, Stephen Chang, Warren Mullings, Phillip Brown

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2015
Typearticle
Languageen
FieldMedicine
TopicTraumatic Ocular and Foreign Body Injuries
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsTemporal boneConcomitantMedicineSurgery

Abstract

fetched live from OpenAlex

The temporal bone houses multiple critical structures inclusive of neural, vascular as well as the vestibulocochlear apparatus. Temporal bone injuries are often associated with the multitrauma patient. Such injuries may be overlooked because of a concomitant life-threatening emergency situation. They are thus associated with high morbidity states both due to the complexity and compactness of the at risk structures and the delays in forming an early diagnosis. This is an even greater risk when associated with penetrating high velocity injuries. We highlight a case of speargun injury that penetrated the temporal bone into the posterior cranial fossa. A 25-year-old patient was reportedly shot with a speargun. He presented to the emergency room in no cardiopulmonary distress or neuropathy. Computerized tomography (CT) and plain X-rays were done. They suggested a transmastoid route with extension into the posterior cranial fossa but radiological artifacts compromised film quality. Intraoperatively the spear was severed to an inch from the surface of the skin. An initial cortical mastoidectomy was done. The spear was found embedded in the sigmoid sinus (SS). A retrolabyrinthine and retrosigmoid extension was done skeletonizing the SS and exposing dura on either side from sinodural angle to jugular bulb. A retrosigmoid dural window was made to view the tip of the spear which was noted to pierce the cerebellum's surface. Proximal and distal control of the SS was achieved with surgicel packing beneath the superior and inferior bony shelf of the SS bony canal as well as with vascular ties. The spear was then removed. No active bleeding from the cerebellar surface or SS defect was noted. Cerebrospinal fluid (CSF) continence was maintained with the following:Primary closure of retrosigmoid dura, reinforced with temporalis fascia (TF) Plugging of sigmoid sinus defect with TF Sealing of aditus ad antrum and facial recess air cells with TF and bone wax Packing the mastoid with harvested abdominal fat Careful overlapping fascial and skin closure Lumbar puncture drain There were no postoperative neurological deficits. Discussion: Speargun injuries are usually associated with high levels of morbidity and mortality as they are penetrating high-velocity injuries. Preoperative evaluation in injuries such as these where the metallic weapon remains in-situ is often suboptimal because of the unavailability of MRI and suboptimal CT scan due to artifacts. Despite this, a CT scan can still provide invaluable information. There are limited cases in the literature with speargun injuries and this is the first case to be managed in this manner. This case report strongly reinforces the proposal to only attempt removal under direct vision as this reduces morbidity and mortality. Adequate exposure of at-risk structures inclusive of the entire sigmoid sinus as well the track of the spear is ideal before removal. It also enhances the opportunity to ensure a water tight closure. The type of exposure is dependent on the trajectory of the weapon. Blind removal often results in disastrous consequences especially and risks worsening the morbidity/mortality, for example, hemorrhaging because of vascular damage as in this case.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.275
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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