ClinicalTrials.gg
Not yet recruitingNCT06332703Updated May 10, 2024

Acanthamoeba and Artificial Intelligence

An observational study in Acanthamoeba Keratitis and Artificial Intelligence, sponsored by IRCCS Ospedale San Raffaele. Not yet recruiting. Open to participants aged 1 Year to 99 Years. Per ClinicalTrials.gov, last updated 2024-05-10.

Sponsored by IRCCS Ospedale San Raffaele · Observational

From the registry’s dates

  • Primary completion was expected by Oct 2024, 2 years 1 month ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
151
Ages
1 Year to 99 Years
Sex
All
01

Study summary

Acanthamoeba keratitis, caused by the pathogen Acanthamoeba spp, is recognized worldwide as a severe ocular infection that can pose potential risks to vision.

This observational retrospective and single-center study, of exploratory nature, aims to determine the possibility of identifying patterns that may be useful for future rapid diagnosis of Acanthamoeba keratitis from confocal images, leveraging the normality of corneal examination and the high specificity and sensitivity of computational models.

The data will be based on patients who have been confirmed positive through laboratory tests with proven effectiveness in detecting the infection.

The laboratory tests considered for the division of patients into their respective groups are bacterial examination, PCR examination, and culture examination.

Patients were divided into two groups, the first comprising patients positive for Acanthamoeba infection, while the second comprised patients negative for Acanthamoeba but positive for other pathogens. The study will last for 18 months.

The cohort under study includes 151 patients from the IRCCS San Raffaele Hospital who underwent the aforementioned examinations, of which 76 cases will be included in the group of patients positive for Acanthamoeba and 75 in the group of controls positive for other pathogens.

The confocal images of this cohort will be fed into artificial intelligence software. To evaluate the model, the test set will be used, and the AI model's ability will be assessed using the most commonly used metrics in the field of computer vision such as accuracy, specificity, sensitivity, and f1-score; culminating in a comprehensive evaluation of the model.

02

Conditions studied

  • Acanthamoeba Keratitis
  • Artificial Intelligence

Browse trials for

Keywords

  • Acanthamoeba
  • Keratitis
  • Artificial intelligence
  • Corneal scraping
  • Confocal images
  • Acanthamoeba pattern
  • Machine learning
03

In context

Keratitis

108 studies on the registry are indexed under Keratitis; 19 are open to participants now.

This study's planned enrollment of 151 is above the median of 105 across 31 observational studies indexed under Keratitis.

Browse Keratitis studies →

Lead sponsor

IRCCS Ospedale San Raffaele is the lead sponsor of 36 studies on the registry; 28 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
1 Year to 99 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Based on the results of the exams previously described in the eligibility criteria, two groups of patients will be created:

  • Patients positive for Acanthamoeba infection.
  • Patients negative for Acanthamoeba infection but positive for infection of another pathogen.

Confocal images of about 75 subjects from the first group and 76 from the second group, used as controls, will be entered into the artificial intelligence software.

The sample size, of this retrospective study, is based on the availability of data available in our database regarding the inclusion criteria of the study.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Performed corneal scraping and subsequent bacterioscopic exam, PCR and bacterial colture analysis between 2004 and 2023.
  • Patients positivity to corneal infection.

Exclusion criteria

Exclusion Criteria:

  • Patients negativity to aforementioned exams.
05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
151 participants (estimated)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Determination of the potential presence of significant patterns of Acanthamoeba infection in in-vivo confocal microscopy (IVCM) images.

    Time frame: IVCM and laboratory samples will be acquired at day 0 (day of enrollment).

Secondary outcomes

  1. Correlation assessment between IVCM images and laboratory results.

    Time frame: IVCM and laboratory samples will be acquired at day 0 (day of enrollment).

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • Lorenzo-Morales J, Khan NA, Walochnik J. An update on Acanthamoeba keratitis: diagnosis, pathogenesis and treatment. Parasite. 2015;22:10. doi: 10.1051/parasite/2015010. Epub 2015 Feb 18. PubMed 25687209 ↗
  • Dart JK, Saw VP, Kilvington S. Acanthamoeba keratitis: diagnosis and treatment update 2009. Am J Ophthalmol. 2009 Oct;148(4):487-499.e2. doi: 10.1016/j.ajo.2009.06.009. Epub 2009 Aug 5. PubMed 19660733 ↗
  • Cabrera-Aguas M, Khoo P, Watson SL. Infectious keratitis: A review. Clin Exp Ophthalmol. 2022 Jul;50(5):543-562. doi: 10.1111/ceo.14113. Epub 2022 Jun 3. PubMed 35610943 ↗
  • Zhang Y, Xu X, Wei Z, Cao K, Zhang Z, Liang Q. The global epidemiology and clinical diagnosis of Acanthamoeba keratitis. J Infect Public Health. 2023 Jun;16(6):841-852. doi: 10.1016/j.jiph.2023.03.020. Epub 2023 Mar 23. PubMed 37030037 ↗
  • Rampat R, Deshmukh R, Chen X, Ting DSW, Said DG, Dua HS, Ting DSJ. Artificial Intelligence in Cornea, Refractive Surgery, and Cataract: Basic Principles, Clinical Applications, and Future Directions. Asia Pac J Ophthalmol (Phila). 2021 Jul 1;10(3):268-281. doi: 10.1097/APO.0000000000000394. PubMed 34224467 ↗
  • Lv J, Zhang K, Chen Q, Chen Q, Huang W, Cui L, Li M, Li J, Chen L, Shen C, Yang Z, Bei Y, Li L, Wu X, Zeng S, Xu F, Lin H. Deep learning-based automated diagnosis of fungal keratitis with in vivo confocal microscopy images. Ann Transl Med. 2020 Jun;8(11):706. doi: 10.21037/atm.2020.03.134. PubMed 32617326 ↗
09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for May 2024; primary completion for Oct 2024, 5 months later.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 15, 2024
First posted
Mar 27, 2024
StartEst.
May 2024
Primary completionEst.
Oct 2024
CompletionEst.
Apr 2025
Last update
May 10, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on May 10, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06332703
Lead sponsor
IRCCS Ospedale San Raffaele
Responsible party
Giulio Ferrari (Professor of Ophthalmology-San Raffaele Vita Salute University, Cornea and Ocular Surface Unit; Head-Eye Repair Lab San Raffaele Scientific Institute, IRCCS Ospedale San Raffaele) — Principal investigator
First posted
Mar 27, 2024
Start date
May 2024 (estimated)
Primary completion
Oct 2024 (estimated)
Completion
Apr 2025 (estimated)
Last update
May 10, 2024

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Mar 2024. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion