Evidence map›Paper›PMID 34667265›Full record

ArticleScientific reports2021

Uncovering of intraspecies macular heterogeneity in cynomolgus monkeys using hybrid machine learning optical coherence tomography image segmentation.

Peter M Maloca, Christine Seeger, Helen Booler, Philippe Valmaggia, Ken Kawamoto, Qayim Kaba, Nadja Inglin, Konstantinos Balaskas, Catherine Egan, Adnan Tufail and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

13 authors.

Peter M MalocaDepartment of Ophthalmology, University of Basel, 4031, Basel, Switzerland. peter.maloca@iob.ch.
Christine SeegerPreclinical Research and Early Development, Pharmaceutical Sciences, Hoffmann-La Roche, 4070, Basel, Switzerland.
Helen BoolerPreclinical Research and Early Development, Pharmaceutical Sciences, Hoffmann-La Roche, 4070, Basel, Switzerland.
Philippe ValmaggiaInstitute of Molecular and Clinical Ophthalmology Basel (IOB), 4031, Basel, Switzerland.
Ken KawamotoMoorfields Eye Hospital NHS Foundation Trust, London, EC1V 2PD, UK.
Qayim KabaMoorfields Eye Hospital NHS Foundation Trust, London, EC1V 2PD, UK.
Nadja InglinInstitute of Molecular and Clinical Ophthalmology Basel (IOB), 4031, Basel, Switzerland.
Konstantinos BalaskasMoorfields Ophthalmic Reading Centre, London, UK.
Catherine EganMoorfields Eye Hospital NHS Foundation Trust, London, EC1V 2PD, UK.
Adnan TufailMoorfields Eye Hospital NHS Foundation Trust, London, EC1V 2PD, UK.
Hendrik P N SchollDepartment of Ophthalmology, University of Basel, 4031, Basel, Switzerland.
Pascal W HaslerDepartment of Ophthalmology, University of Basel, 4031, Basel, Switzerland.
Nora DenkDepartment of Ophthalmology, University of Basel, 4031, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fovea is a depression in the center of the macula and is the site of the highest visual acuity. Optical coherence tomography (OCT) has contributed considerably in elucidating the pathologic changes in the fovea and is now being considered as an accompanying imaging method in drug development, such as antivascular endothelial growth factor and its safety profiling. Because animal numbers are limited in preclinical studies and automatized image evaluation tools have not yet been routinely employed, essential reference data describing the morphologic variations in macular thickness in laboratory cynomolgus monkeys are sparse to nonexistent. A hybrid machine learning algorithm was applied for automated OCT image processing and measurements of central retina thickness and surface area values. Morphological variations and the effects of sex and geographical origin were determined. Based on our findings, the fovea parameters are specific to the geographic origin. Despite morphological similarities among cynomolgus monkeys, considerable variations in the foveolar contour, even within the same species but from different geographic origins, were found. The results of the reference database show that not only the entire retinal thickness, but also the macular subfields, should be considered when designing preclinical studies and in the interpretation of foveal data.

Indexed as

AlgorithmsAnimalsDiabetic RetinopathyImage Processing, Computer-AssistedMacaca fascicularisMachine LearningMacular DegenerationRetinaTomography, Optical CoherenceVisual Acuity

Identifiers

PMID34667265
PMCPMC8526684

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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.