Evidence map›Paper›PMID 28275527›Full record

ArticleTranslational vision science & technology2017

Individual Drusen Segmentation and Repeatability and Reproducibility of Their Automated Quantification in Optical Coherence Tomography Images.

Luis de Sisternes, Gowtham Jonna, Margaret A Greven, Qiang Chen, Theodore Leng, Daniel L Rubin

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational vision science & technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
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

6 authors at 3 institutions in 2 countries.

Luis de SisternesDepartment of Radiology, Stanford University, Stanford, CA, USA ; Department Medicine (Biomedical Informatics), Stanford University, Stanford, CA, USA ; Currently at Carl Zeiss Meditec, Inc., Dublin, CA, USA.
Gowtham JonnaDepartment of Ophthalmology and Visual Sciences, Albert Einstein College of Medicine, Bronx, NY, USA.
Margaret A GrevenDepartment of Ophthalmology, Byers Eye Institute at Stanford, Stanford University School of Medicine, Palo Alto, CA, USA.
Qiang ChenSchool of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Theodore LengDepartment of Ophthalmology, Byers Eye Institute at Stanford, Stanford University School of Medicine, Palo Alto, CA, USA.
Daniel L RubinDepartment of Radiology, Stanford University, Stanford, CA, USA ; Department Medicine (Biomedical Informatics), Stanford University, Stanford, CA, USA.
Stanford University · USAlbert Einstein College of Medicine · USNanjing University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo introduce a novel method to segment individual drusen in spectral-domain optical coherence tomography (SD-OCT), and evaluate its accuracy, and repeatability/reproducibility of drusen quantifications extracted from the segmentation results.

methodsOur method uses a smooth interpolation of the retinal pigment epithelium (RPE) outer boundary, fitted to candidate locations in proximity to Bruch's Membrane, to identify regions of substantial lifting in the inner-RPE or inner-segment boundaries, and then separates and evaluates individual druse independently. The study included 192 eyes from 129 patients. Accuracy of drusen segmentations was evaluated measuring the overlap ratio (OR) with manual markings, also comparing the results to a previously proposed method. Repeatability and reproducibility across scanning protocols of automated drusen quantifications were investigated in repeated SD-OCT volume pairs and compared with those measured by a commercial tool (Cirrus HD-OCT).

resultsOur segmentation method produced higher accuracy than a previously proposed method, showing similar differences to manual markings (0.72 ± 0.09 OR) as the measured intra- and interreader variability (0.78 ± 0.09 and 0.77 ± 0.09, respectively). The automated quantifications displayed high repeatability and reproducibility, showing a more stable behavior across scanning protocols in drusen area and volume measurements than the commercial software. Measurements of drusen slope and mean intensity showed significant differences across protocols.

conclusionAutomated drusen outlines produced by our method show promising accurate results that seem relatively stable in repeated scans using the same or different scanning protocols. TRANSLATIONAL RELEVANCE: The proposed method represents a viable tool to measure and track drusen measurements in early or intermediate age-related macular degeneration patients.

Indexed as

AMDdrusenSC-OCTsegmentation

Identifiers

PMID28275527
PMCPMC5338477
OpenAlexW2593276269

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.