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Record W2330120970 · doi:10.1055/s-0035-1546673

Quantitative Comparison and Target-Specific Maneuverability of the Median Infratentorial Supracerebellar versus the Occipital Transtentorial Approaches to the Pineal Region

2015· article· en· W2330120970 on OpenAlexaff
J. Brodard, M. Jägersberg, Jean Fasel, Walter Kucharczyk, Karl Schaller, Ivan Radovanovic

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2015
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsToronto Western HospitalUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsNeurovascular bundleMedicinePineal glandRadiologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Objectives/Aims: There is a difficulty in comparing different surgical techniques that can be used to treat the same pathology, especially where complex approaches might be necessary to treat relatively rare lesions. Indeed, lesions around and of the pineal region are challenging because of their proximity to important neurovascular structures, their deep-seated location and the possible use of two different surgical corridors. The aim of this study is to quantify microsurgical exposure and the target-specific maneuvrability afforded by the median infratentorial supracerebellar versus the occipital transtentorial approaches to the pineal gland. Methods: The infratentorial supracerebellar and occipital transtentorial approaches to the pineal region were performed in four cadaveric heads by using standard microneurosurgical technique. All specimens underwent a CT scan using a 1 × 1 and 3 × 3 mm soft and bone tissue slices. For each craniotomy, coordinates delineating superficial and deep surface exposures a well as 28 surgical targets of interest (both vascular and nervous structures) were obtained by means of a conventional navigation tool. Offline, respective superficial and deep surfaces, and corresponding operative field volumes were calculated and visualized with in-house–developed software. A maneuvrability score was defined for every surgical points of interest taking into account the superficial area, corridor height, anatomical obstacles, and lesion-centricity (range, 2 [poor maneuverability] to 9 [excellent maneuverability]). Results: Superficial surfaces, deep surfaces (cm 2 ) and volumes (cm 3 ) were 8.3 (SD, 2.5), 5.7 (SD, 2.2), 33.3 (SD, 6.5), respectively, for supracerebellar infratentorial approach and 7.2 (SD, 3.3), 12.2 (SD, 6.5), 44.4 (SD, 28.5), respectively, for occipital transtentorial approach. The deep/superficial surface ratio and the surgical volume were significantly higher for the occipital transtentorial approach. Maneuvrability scores of different targets and deep exposure varied between the two approaches, especially in the inferior aspect of the quadrigeminal cistern that was better exposed and maneuvered through the occipital transtentorial approach. Conclusion: Both median infratentorial supracerebellar and occipital transtentorial approaches are suitable to reach the pineal region; however, the occipital transtentorial approach gives overall a larger deep exposure, working volume, and might offer a better maneuverability for targets situated in the inferior aspect of the quadrigeminal cistern where the culmen of the cerebellum and the sometimes steep angle of the tentorium might render the median infratentorial supracerebellar approach less practical.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.337
GPT teacher head0.300
Teacher spread0.037 · 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 designObservational
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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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