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Record W2038647901 · doi:10.1097/brs.0b013e3181da38b8

The Central Hip Vertical Axis

2010· article· en· W2038647901 on OpenAlexaff
Archana Sangole, Carl‐Éric Aubin, Hubert Labelle, Lawrence G. Lenke, Roger P. Jackson, Peter O. Newton, Ian A. F. Stokes

Bibliographic record

VenueSpine · 2010
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMedicineOrthodontics

Abstract

fetched live from OpenAlex

STUDY DESIGN: Reliability comparison of 2 radiographic axis systems by inter- and intraobserver variability. OBJECTIVE: To determine whether the central hip vertical axis (CHVA) provides a more reliable reference axis for the evaluation of scoliosis. SUMMARY OF BACKGROUND DATA: Current practices in the evaluation of the scoliotic spine use the central sacral vertical line (CSVL), a true vertical drawn upward from the middle of S1, to assess the spinal deformity. However, the CVSL is defined only in the coronal radiographic view and has no corresponding definition in the sagittal view. Therefore, it represents a 2-dimensional positioning of the scoliotic segments relative to the pelvis. In view of this limitation, the Scoliosis Research Society 3-dimensional (3D) scoliosis committee proposed the CHVA, a true vertical bisecting the line segment joining the centers of the 2 femoral heads, as a reference line for the 3D evaluation of the spinal deformity. Unlike the CSVL, the CHVA can be identified in both radiographic views (coronal and sagittal) and has been shown to represent the physiologic center of balance of the spino-pelvic unit. METHODS: A vertical axis was established on preoperative radiographs of 68 Lenke 1 main thoracic curves twice by 5 members of the Scoliosis Research Society 3D scoliosis committee assisted by dedicated software. The user digitized separately on the postero-anterior radiographs, the lateral borders of the S1 facets (for the CSVL), and 3 points on the 2 femoral heads (for the CHVA). The software then drew lines representing both axes. Then the observers determined the lumbar modifier (A, B, and C) using both axes. RESULTS.: There was no intra- and interobserver difference in the position of the CHVA (P > 0.1; SD: 0.4 mm), whereas intraobserver differences were found for the CSVL (P < 0.00007; SD: 0.9 mm). The CHVA was more reproducible and showed better intra- and interobserver agreement (kappa: 0.86/0.75; both excellent reliability), when compared with the CSVL (kappa 0.77/0.61; excellent and good reliability, respectively) for the identification of the lumbar modifier. The CSVL was on average 3.2 mm to the left, when compared with the CHVA generating a shift (A-->B-->C) in the assignment of the lumbar modifier. CONCLUSION: The CHVA is more reproducible and showed better intra- and interobserver agreement, when compared with the CSVL for the identification of the lumbar modifier. The CHVA can be easily computed in 3D and represents the physiologic center of balance of the spino-pelvic unit because it takes into account femoral head support. We recommend keeping the CSVL for 2-dimensional measurement to adapt the measures relative to the CSVL to the proposed CHVA axis and adopting CHVA as the reference axis for 3D evaluation of idiopathic scoliosis.

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)0.017
metaresearch head score (Gemma)0.024
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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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Citations41
Published2010
Admission routes1
Has abstractyes

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