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Record W2892032973 · doi:10.1016/j.amsu.2018.09.019

Laparoscopic cholecystectomy using the PINPOINT® Endoscopic Fluorescence Imaging System with intraoperative fluorescent imaging for acute cholecystitis: A case report

2018· article· en· W2892032973 on OpenAlexaboutno aff
Nobuhiro Tsutsui, Masashi Yoshida, Eisaku Ito, Hironori Ohdaira, Masaki Kitajima, Yutaka Suzuki

Bibliographic record

VenueAnnals of Medicine and Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIndocyanine greenCholecystectomyPerioperativeGallbladderLaparoscopic cholecystectomySurgeryCystic ductRadiologyGeneral surgery

Abstract

fetched live from OpenAlex

We report on a laparoscopic cholecystectomy (LC) for acute cholecystitis (AC) using the bright field/full-color fluorescence laparoscope system PINPOINT ® (Novadaq, Mississauga, ON, Canada). The patient was an 85-year-old man who was diagnosed with moderate AC. Indocyanine green (ICG) was administered just before surgery, and we used only PINPOINT ® to perform the LC. The advantage of this procedure is that it can be performed while viewing ICG fluorescence in the cystic duct . Since the gallbladder is imaged with this technique, it is also advantageous from the perspective of deciding at which layer to detach the gallbladder from the liver. The operative time was 81 minutes, and blood loss was 5 ml. There were no perioperative complications , and the patient was discharged on post-operative day 6.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0050.004
Science and technology studies0.0060.004
Scholarly communication0.0030.006
Open science0.0020.004
Research integrity0.0110.007
Insufficient payload (model declined to judge)0.0030.002

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 head0.045
GPT teacher head0.341
Teacher spread0.297 · 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 designCase report
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

Citations10
Published2018
Admission routes1
Has abstractyes

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