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Record W2318986453 · doi:10.1055/s-0032-1325972

Fiberoptic sensor for noninvasive measurement of variceal pressure

2013· article· en· W2318986453 on OpenAlexaboutno aff
Deyan Kong, Binbin He, Abraham J. Wu, J.-G. Wang, Fangfang Yu, Jun Xu

Bibliographic record

VenueEndoscopy · 2013
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsPressure sensorPressure measurementOpticsAcousticsBiomedical engineeringMedicinePhysics

Abstract

fetched live from OpenAlex

We present a new measuring probe based on a miniature fiberoptic pressure sensor that can measure esophageal variceal pressure. The probe consists of an outer flexible chamber filled with a pressure transmission medium, at the center of which is positioned the fibreoptic sensor with diameter of 0.5 mm (FOP-F125, FISO Technologies Inc., Quebec, Canada) ([ Fig. 1 ]). The single-column, flexible chamber has a 0.03-mm wall thickness and the chamber wall is made of polyurethane. The sensor within the medium is attached at one end to a connecting rod. When the membrane on the sensor chip is exposed to a rise in pressure in the surrounding medium, the light returning to the control unit is altered in accordance with the pressure deformations of the membrane and the altered interference conditions inside the cavity of the sensor [ 1 ]. The analog signals from sensor are transferred to both digital and analog values in the control unit and recorded with PC-based real-time data-acquisition hardware ([ Fig. 2 ], [ Fig. 3 ]). Fig. 1 Schematic of the novel pressure probe. 1: the flexible chamber with the pressure transmission medium inside it; 2: the fibreoptic sensor; and 3: the optical fiber. Fig. 2 Schematic of the fiberoptic variceal pressure measuring system. A/D, analog-to-digital; PC, personal computer. Fig. 3 The tracing on the PC monitor represents variceal pressure. We used the new probe in three patients with cirrhosis after gaining approval from our institutional review board. Portal–azygous disconnection was carried out after measurement of the variceal pressure, and portal vein pressure was measured (model 90308-11-14, Space Labs Inc., Issaquah, Washington, USA) in the initial stages of surgery by directly catheterizing the right gastroepiploic vein with a PE-16 catheter. The variceal and portal vein pressure recordings in the three patients were 22 mm Hg and 22.5 mm Hg, 18.5 mm Hg and 19 mm Hg, and 20 mm Hg and 20 mm Hg, respectively. Compared with conventional technology used to measure variceal pressure [ 2 ] [ 3 ] [ 4 ] [ 5 ], it is much easier to place the new probe (diameter 2 mm) into the correct position in relation to the varices through the endoscopic biopsy channel ([ Fig. 4 ]). We believe the new sensor can help determine variceal pressure in routine endoscopic examinations safely and effectively. Fig. 4 The probe is gently placed onto the esophageal varix under direct visual control to measure the variceal pressure. Endoscopy_UCTN_Code_TTT_1AO_2AM

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.273
Teacher spread0.247 · 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 designBench or experimental
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

Citations6
Published2013
Admission routes1
Has abstractyes

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