MétaCan
Menu
Back to cohort
Record W2040068013 · doi:10.1097/aln.0b013e318249d0fd

Transthoracic Ultrasound for Diagnosing Pneumothorax

2012· letter· en· W2040068013 on OpenAlexaboutno aff
Andrew Verniquet

Bibliographic record

VenueAnesthesiology · 2012
Typeletter
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePneumothoraxUltrasoundAtelectasisRadiologyLungRib cageParenchymaRadiographyAnatomyPathology

Abstract

fetched live from OpenAlex

Central Health-James Paton Memorial Hospital, Gander, Newfoundland, Canada. andrewverniquet@hotmail.comTo the Editor: I read with interest the case report on intraoperative pneumothorax and transthoracic ultrasound by Ueda et al .1Thoracic computed tomography should be regarded as the gold standard rather than chest radiography as suggested by the authors.2–4The statement “because air does not reflect ultrasound” is puzzling. Ultrasound is reflected at the interface between two media with differing acoustic impedances, governed by the equation where R is the percentage of ultrasound reflected and Z1 and Z2 are the acoustic impedances of the respective media.Because the acoustic impedance of air is so low in comparison with soft tissue, ultrasound is more or less completely reflected at the air-tissue interface and cannot penetrate beyond the surface of the lung. This raises two important points: first, that by removing the air in the lung, e.g. , atelectasis, or replacing it with fluid, e.g. , consolidation, a tissular image of the lung can be created; and second, only those lesions that reach the surface of the lung can be imaged. This leads to the labeling of figure 2 in the case report where the ultrasound image labeled lung parenchyma is in fact artifact and not a tissular image of the lung parenchyma. The object labeled rib is most likely costal cartilage because normal ribs are thick enough to prevent ultrasound penetrating them and the pleural line should not be visible below. This is not the case with costal cartilage where the pleural line is easily seen below it. With high-resolution probes it is sometimes possible to delineate both the visceral and parietal pleura with a small space between the pleural gap.5This appears to be the case in figure 2, in which the deeper and thicker hyperechoic line labeled parietal and visceral pleura most likely represents the visceral pleura-lung interface, above which is a hypoechoic layer, the pleural gap followed by a thinner, slightly less hyperechoic line, the parietal pleura. When air is in the pleural space, the visceral pleura will not be visible through it and the hyperechoic line represents the parietal pleura-air interface.

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)0.005
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: Commentary · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0050.002

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 head0.064
GPT teacher head0.359
Teacher spread0.295 · 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
GenreCommentary

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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueAnesthesiologySame topicUltrasound in Clinical ApplicationsFrench-language works237,207