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Record W4372331717 · doi:10.1093/pm/pnad053

Reply to Letter to the Editor regarding “Quantification of needle angles for traditional lumbar medial branch radiofrequency ablation: an osteological study”

2023· letter· en· W4372331717 on OpenAlexaffabout
John Tran, Eldon Loh

Bibliographic record

VenuePain Medicine · 2023
Typeletter
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsParkwood InstituteLawson Health Research InstituteWestern University
Fundersnot available
KeywordsOsteologyMedicineLibrary scienceFamily medicineAnatomy

Abstract

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Dear Editor We thank Rivers et al. for their interest in our paper.1 As researchers and academics, we are informed by science and grounded in evidence. With controversy, careful re-inspection and validation is required. Therefore, using 3D modeling technology, available to our team, we have confirmed the observation by Rivers et al. In the 2004 landmark paper published by Lau et al., it was stated that to achieve parallel placement with the medial branch, “the electrode must lie obliquely, at about 20° from the sagittal plane.”2 The authors also stated to obtain an end-on or decline view, “the X-ray beam was tilted laterally by 20° from an AP view and then declined steeply along the length of the body until a view was obtained along the course of the electrode.” This decline view would correspond with the coaxial or pillar view which some spine interventionalists use to advance the needle. This description likely led to the unexamined assumption that the angle away from the sagittal plane approximates the oblique angulation of the fluoroscope when acquiring the coaxial view. This is evidenced by educational content referencing Lau et al. that demonstrated ending positions of the fluoroscope, in pillar view, approximates needle angles measured in posterior and lateral radiographs.3 We would like to acknowledge Rivers et al. for their critical appraisal of an unexamined assumption in the field of fluoroscopic guided lumbar medial branch denervation. Regarding their suggestion to correct our study’s means and histograms using the transformed data, it is important to note that the angles reported in our study reflect needle angles measured in the direct posterior and lateral views. These needle angles should not change as the measurements were based on standardized anatomical images using common fluoroscopic practices (ie, squared endplates). Therefore, these are the needle angles that spine interventionalists would expect to see as they view standardized posterior and lateral radiographs when the needles are placed parallel along the middle two-quarters of the lateral neck of the superior articular process. We believe Rivers et al. meant to suggest that a new dataset reporting the transformed oblique angles (based on our reported needle angles in posterior and lateral views) should be included which would represent the angulation required to obtain coaxial view. This is where their trigonometric formula would be of use. However, based on our research,1,4 the substantial cranial-to-caudal angulation required to achieve a parallel needle placement limits the ability to use a coaxial approach. Recognizing this limitation, we sparingly use this coaxial approach clinically and are in the process of conducting/preparing a case series publication to provide more details regarding our needle placement technique that has resulted in positive outcomes. We appreciate the comments by Rivers et al., as it highlights the impact anatomical research can have on the field of interventional pain medicine. Continued anatomical research support and collaboration between societies, clinicians, and anatomists will help in re-evaluating principles, question unexamined assumptions, and optimize interventional pain procedures. None declared. Conflicts of interest: None declared.

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)0.005
metaresearch head score (Gemma)0.067
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.019
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.067
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0190.019
Insufficient payload (model declined to judge)0.0120.009

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 head0.114
GPT teacher head0.330
Teacher spread0.216 · 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 designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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