ClinicalTrials.gg
RecruitingNCT06421844Updated May 20, 2024

A Prospective Study: Smart Phone Application for Measure Serum Bilirubin Through Sclera Images

An observational study in Jaundice, Deep Learning and Hyperbilirubinemia, sponsored by Air Force Military Medical University, China. Recruiting at 1 site in China. Open to participants aged 14 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-05-20.

Sponsored by Air Force Military Medical University, China · Observational

From the registry’s dates

  • Primary completion was expected by Jun 2024, 2 years 4 months ago, but the record still lists the study as recruiting.
  • Started Apr 2024; still recruiting 2 years 6 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
270
Ages
14 Years and older
Sex
All
01

Study summary

The primary efficacy endpoints are the standard deviation and coefficient of determination (R2) between predicted and actual values for the bilirubin regression model, and the grading accuracy for the jaundice severity classification model. The secondary efficacy endpoint is the mean percentage error between predicted and actual bilirubin values. There are no relevant safety risks.

Statistical differences for categorical variables (e.g., jaundice grading evaluation indicators) will be analyzed using the chi-square test or Fisher's exact probability test. For continuous variables (e.g., bilirubin prediction evaluation indicators), t-tests (normal distribution) or non-parametric tests (non-normal distribution) will be used. The 95% confidence interval for jaundice grading accuracy will be calculated using the Wilson method.

The study duration is estimated to be 3 months.

02

Conditions studied

  • Jaundice
  • Deep Learning
  • Hyperbilirubinemia
  • Sclera

Keywords

  • Smart phone
  • Hyperbilirubinemia
  • Real-time
  • Deep learning
  • Sclera
03

In context

Jaundice

84 studies on the registry are indexed under Jaundice; 13 are open to participants now.

This study's planned enrollment of 270 is above the median of 200 across 31 observational studies indexed under Jaundice.

Browse Jaundice studies →

Lead sponsor

Air Force Military Medical University, China is the lead sponsor of 178 studies on the registry; 37 are open to participants now.

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

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Who can participate

Ages eligible
14 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Study Population Description:

The study will include a total of 270 patients, both male and female, aged 14 years and above. The participants should not have any pre-existing conditions that may affect the color of their sclera. They should be able to follow instructions and complete the scleral imaging procedure. The patient population will primarily consist of individuals undergoing treatment for colorectal polyps, pancreatitis, pancreatic tumors, hepatobiliary stones, or biliary tract tumors.

Screening Procedure:

Potential participants will be screened using oral queries to assess their eligibility based on the inclusion and exclusion criteria. A brief ocular examination will be performed to rule out any apparent ocular surface disorders. Eligible participants will be provided with a detailed explanation of the study objectives, procedures, and potential risks and benefits. Written informed consent will be obtained from all participants prior to enrollment in 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

Age 14 years or older. Subjects who are visiting the Gastroenterology Department of Xijing Hospital and will undergo liver function tests on the same day. The disease spectrum of the subjects mainly includes pancreatitis, pancreatic tumors, hepatobiliary stones, biliary tumors, and colonic polyps.

Exclusion criteria

Exclusion Criteria:

Subjects with diseases that may cause abnormal changes in scleral color, such as glaucoma, Wilson's disease, pterygium, or scleritis.

Subjects who have recently consumed a large amount of carotenoid-rich foods (such as oranges or carrots).

Subjects who are unable to provide .

Elimination Criteria:

Subjects with incomplete scleral exposure due to limited eye movement or excessive tension during external eye examination.

Subjects who are unable to understand the instructions for eye rotation during scleral examination or are unable to cooperate due to reasons such as poor hearing.

Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
270 participants (estimated)
Target follow-up
2 Weeks
Patient registry
Yes

Groups and cohorts

  • Real-Time Scleral Jaundice Evaluation in Gastroenterology Cohort

    The cohort consists of at least 270 subjects consecutively enrolled from the Department of Gastroenterology at Xijing Hospital. The subjects will be followed prospectively over a period of time to collect data on their age, medical information, scleral images, and liver function test results. The cohort includes patients with various liver diseases and varying degrees of jaundice severity.

06

What researchers measure

Primary outcomes

  1. Loss of predicted bilirubin levels

    Standard deviation and mean average percentage error between predicted and actual bilirubin levels for the bilirubin regression model.

    Time frame: Immediately after test completion

  2. Classification accuracy

    Classification accuracy for the jaundice severity grading model

    Time frame: Immediately after test completion

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • Bang JY, Navaneethan U, Hasan M, Hawes R, Varadarajulu S. Stent placement by EUS or ERCP for primary biliary decompression in pancreatic cancer: a randomized trial (with videos). Gastrointest Endosc. 2018 Jul;88(1):9-17. doi: 10.1016/j.gie.2018.03.012. Epub 2018 Mar 21. PubMed 29574126 ↗
  • Inamori G, Kamoto U, Nakamura F, Isoda Y, Uozumi A, Matsuda R, Shimamura M, Okubo Y, Ito S, Ota H. Neonatal wearable device for colorimetry-based real-time detection of jaundice with simultaneous sensing of vitals. Sci Adv. 2021 Mar 3;7(10):eabe3793. doi: 10.1126/sciadv.abe3793. Print 2021 Mar. PubMed 33658197 ↗
  • Bian Y, Zheng Z, Fang X, Jiang H, Zhu M, Yu J, Zhao H, Zhang L, Yao J, Lu L, Lu J, Shao C. Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma. Radiology. 2023 Jan;306(1):160-169. doi: 10.1148/radiol.220329. Epub 2022 Sep 6. PubMed 36066369 ↗
  • Wu HL, Yao LW, Shi HY, Wu LL, Li X, Zhang CX, Chen BR, Zhang J, Tan W, Cui N, Zhou W, Zhang JX, Xiao B, Gong RR, Ding Z, Yu HG. Validation of a real-time biliopancreatic endoscopic ultrasonography analytical device in China: a prospective, single-centre, randomised, controlled trial. Lancet Digit Health. 2023 Nov;5(11):e812-e820. doi: 10.1016/S2589-7500(23)00160-7. Epub 2023 Sep 27. PubMed 37775472 ↗
  • Park JH, Yang MJ, Kim JS, Park B, Kim JH, Sunwoo MH. Deep-Learning-Based Smartphone Application for Self-Diagnosis of Scleral Jaundice in Patients with Hepatobiliary and Pancreatic Diseases. J Pers Med. 2021 Sep 18;11(9):928. doi: 10.3390/jpm11090928. PubMed 34575705 ↗
  • Xiao W, Huang X, Wang JH, Lin DR, Zhu Y, Chen C, Yang YH, Xiao J, Zhao LQ, Li JO, Cheung CY, Mise Y, Guo ZY, Du YF, Chen BB, Hu JX, Zhang K, Lin XS, Wen W, Liu YZ, Chen WR, Zhong YS, Lin HT. Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study. Lancet Digit Health. 2021 Feb;3(2):e88-e97. doi: 10.1016/S2589-7500(20)30288-0. PubMed 33509389 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 20, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06421844
Responsible party
Yanglin Pan (Professor, Air Force Military Medical University, China) — Principal investigator
First posted
May 20, 2024
Start date
Apr 20, 2024
Primary completion
Jun 20, 2024 (estimated)
Completion
Jul 10, 2024 (estimated)
Last update
May 20, 2024

Study contacts

Yanglin Pan, MD
Contact
yanglinpan@hotmail.com
86-13991811225

Oversight

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

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