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Record W4401215897 · doi:10.1510/mmcts.2024.019

Thoracoscopic S1 segmentectomy, right upper lobe: alternative posterior approach

2024· article· en· W4401215897 on OpenAlexaff
George Rakovich

Bibliographic record

VenueMultimedia Manual of Cardio-Thoracic Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineBronchusPerioperativeLobeLungRadiologySurgeryAnatomyRespiratory diseaseInternal medicine

Abstract

fetched live from OpenAlex

Minimally invasive pulmonary segmentectomy allows adequate oncological treatment in selected cases while preserving lung parenchyma and minimizing perioperative morbidity and length of hospital stay. Although several variations of minimally invasive pulmonary segmentectomy have been described, a fully thoracoscopic multiport approach that allows direct access to the segmental structures, is straightforward and is versatile enough to allow adaptation in case of unexpected intraoperative findings (such as conversion to lobectomy in the case of positive margins) is preferable. The S1 (apical) segment of the right upper lobe has some unique features that may make a conventional anterior approach challenging. The presence of multiple vascular structures bearing complex anatomical relationships and the requirement for preserving these structures may make identification of and access to the apical artery, and subsequent access to the segmental bronchus, challenging. In contradistinction, a posterior approach may obviate some of these challenges by allowing direct access to the segmental bronchus. Once the bronchus is divided, the apical artery is in direct alignment with the operating instruments, without encroachment from other troublesome vascular structures. This situation, however, remains contingent on individual anatomy, which may vary.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.315
Teacher spread0.291 · 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 teacher head, not a consensus.

Study designOther design
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
Published2024
Admission routes1
Has abstractyes

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