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Determining posterior vitreous structure by analysis of images obtained by AI-based 3D segmentation and ultrawidefield optical coherence tomography
  1. Kyoko Ohno-Matsui1,
  2. Hiroyuki Takahashi1,
  3. Zaixing Mao2,
  4. Noriko Nakao1
  1. 1Ophthalmology & Visual Science, Tokyo Medical and Dental University, Bunkyo-ku, Japan
  2. 2R and D, Topcon corporation, Tokyo, Japan
  1. Correspondence to Dr Kyoko Ohno-Matsui, Ophthalmology and Visual Science, Tokyo Medical and Dental University, Bunkyo-ku 113-8510, Japan; k.ohno.oph{at}


Aims To determine the three-dimensional (3D) structure of the vitreous fluid including the posterior precortical vitreous pockets (PPVP), Cloquet’s canal and cisterns in healthy subjects by AI-based segmentation of the vitreous of swept-source optical coherence tomography (OCT) images. In addition, to analyse the vitreous structures over a wide and deep area using ultrawidefield swept-source OCT (UWF-OCT).

Methods Ten eyes of six patients with the mean age was 40.7±8.4 years and the mean refractive error (spherical equivalent) was −3.275±2.2 diopters were examined.

Results In the UWF OCT images, the structure of the vitreous was observed in detail over 23 mm wide and 5 mm area. AI-guided analyses showed the complex 3D vitreous structures from any angle. Cisterns were observed to overlie the PPVP from the anterior. The morphology and locations of the cisterns varied among the subjects but tended to be similar in the two eyes of one individual. Cisterns joined the PPVPs superior to the macula to form a large trunk. This joined trunk was clearly seen in 3D images even in eyes whose trunk was not detected in the B scan OCT images. In some eyes, the vitreous had a complex appearance resembling an ant nest without large fluid-filled spaces.

Conclusions A combination of UWF-OCT and 3D imaging is very helpful in visualising the complex structure of the vitreous. These technologies are powerful tools that can be used to clarify the normal evolution of the vitreous, pathological changes of vitreous and implications of vitreous changes in various vitreoretinal diseases.

  • vitreous
  • imaging
  • anatomy
  • posterior chamber
  • retina

Data availability statement

All data relevant to the study are included in the article or uploaded as online supplemental information. not applicable.

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Data availability statement

All data relevant to the study are included in the article or uploaded as online supplemental information. not applicable.

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  • Contributors KO-M and HT conceived of the presented idea. ZM developed the AI-based imaging technology and performed the computations. HT and NN collected the data. KO-M, HT, NN and ZM analysed the data. KO-M, HT and ZM wrote this paper. NN reviewed the paper. KO-M was a guaranter.

  • Funding This project was supported by grants from the Japanese Society for Promotion of Science (number 19H03808).

  • Competing interests ZM is an employee of Topcon.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.