Evidence map›Paper›PMID 30258685›Full record

ArticleBiomedical optics express2018

Real-time corneal segmentation and 3D needle tracking in intrasurgical OCT.

Brenton Keller, Mark Draelos, Gao Tang, Sina Farsiu, Anthony N Kuo, Kris Hauser, Joseph A Izatt

Abstract read
In one paragraph

Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
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  11. Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2020
    Article
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Brenton KellerDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Mark DraelosDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Gao TangDepartment of Mechanical Engineering, Duke University, Durham, NC 27708, USA.
Sina FarsiuDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Anthony N KuoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Kris HauserDepartment of Electrical and Computer Engineering, Duke University, Durham, NC 27701, USA.
Joseph A IzattDepartment of Ophthalmology, Duke University Medical Center, Durham NC 27710, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
NIGMS NIH HHS T32 GM007171
6 · The paper itself

Abstract

Ophthalmic procedures demand precise surgical instrument control in depth, yet standard operating microscopes supply limited depth perception. Current commercial microscope-integrated optical coherence tomography partially meets this need with manually-positioned cross-sectional images that offer qualitative estimates of depth. In this work, we present methods for automatic quantitative depth measurement using real-time, two-surface corneal segmentation and needle tracking in OCT volumes. We then demonstrate these methods for guidance of

Indexed as

(100.0100) Image processing(110.4500) Optical coherence tomography(170.1610) Clinical applications

Identifiers

PMID30258685
PMCPMC6154196

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.