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Record W2019731135 · doi:10.1089/end.2007.0046

First Digital Flexible Ureterorenoscope: Initial Experience

2008· article· en· W2019731135 on OpenAlexaff
Stephen Mitchell, Erik Havranek, Anup Patel

Bibliographic record

VenueJournal of Endourology · 2008
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsSt Mary's Hospital Centre
Fundersnot available
KeywordsMedicineEndoscopeURETEROSCOPESurgeryLithotripsyUpper urinary tractRadiologyUrinary systemAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Flexible ureterorenoscopy is a minimally invasive procedure that is rapidly gaining popularity as a treatment for patients with upper urinary tract lithiasis. One of the main drawbacks is the limited visualization imposed by fiberoptic technology in an endoscope, often only 7 to 8F and the fragility of fiber-based optics in a flexible endoscope. MATERIALS AND METHODS: We report our initial experience with digital flexible URS and holmium laser lithotripsy using digital image capture in three patients. Two patients had upper tract calculi (1 cm lower pole calculus and 8 mm caliceal diverticular stone, respectively), and one patient underwent diagnostic URS. RESULTS: After basket capture and intrarenal relocation of the lower pole stone, complete stone destruction was achieved. Similarly, the caliceal diverticular stone was destroyed after holmium laser incision of the caliceal diverticulum. Remarkable improvement in image quality was observed throughout the procedures in comparison with current fiberoptic image acquisition. Minor image interference was noted during fluoroscopic screening, which increased slightly during laser activation. CONCLUSIONS: The first digital flexible ureterorenoscope provided excellent image quality and zoom capability, with a substantial improvement compared with fiberoptic technology. It does not require a separate light source and is an important step for the continued evolution of flexible URS as a therapeutic modality for upper urinary tract pathology.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.389
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.319
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 teacher head, 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".

Quick stats

Citations28
Published2008
Admission routes1
Has abstractyes

Explore more

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