A-EYE: A Mixed Quantitative and Qualitative Study to Develop and Evaluate the Application of Artificial Intelligence (AI) Methods Using Retinal Imaging for the Identification of Adverse Retinal Changes Associated With Cancer Therapies. (A-EYE)
This is a data collection study involving the gathering of clinical data and OCT (optical coherence tomography) scans from 350 patients.
The purpose of this study is to gather data to help develop an AI algorithm to detect eye abnormalities specifically those related to certain cancer treatments.
At the end of the study interviews will be held with expert ophthalmologists to assess the acceptability of implementing AI into clinical practice.
연구 개요
상세 설명
Many cancer patients will access new treatments through clinical trials. These treatments have often never been tested in humans and therefore, are likely to have unknown side effects. Some of these side effects include changes to the eye, such as blindness.
Ahead of patients taking part in these trials there is often little planning done to manage potential side effects on the eye. Additionally, accessing the expertise of eye specialists is not always available and often referral to a specialist is only given when eye symptoms have become advanced. These delays in identifying side effects on the eye also delays treatment and follow-up management. Providing patients access to this expertise would help in the detection and management of treatment side effects, however, due to demands on resources this access is not always readily available.
The aim of this study is to create an artificial intelligence (AI) program that can detect changes to the eye related to disease, which, in the future, can be specifically used in cancer patient care. Additionally, developing an AI program to detect cancer related side effects to the eye will go a significant way in easing the burden on the health care system and improve side effects from new cancer treatments.
This study will involve the collection of eye scans and medical data from participants at the Manchester Royal Eye Hospital. These will then be used to develop AI methods to detect changes in the eye related to those seen by patients on cancer treatment. The AI will then be compared with the assessments of eye specialists to assess if they give similar results.
연구 유형
등록 (예상)
연락처 및 위치
연구 연락처
- 이름: Tariq Aslam
- 전화번호: 0161 276 1234
- 이메일: tariq.aslam@manchester.ac.uk
연구 장소
-
-
-
Manchester, 영국
- 모병
- Manchester Royal Eye Hospital
-
연락하다:
- Tariq Aslam
- 이메일: tariq.aslam@manchester.ac.uk
-
-
참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
설명
Inclusion Criteria:
Patients are eligible for the study if all inclusion criteria are met:
- Voluntary informed consent.
- Aged at least 18 years.
- Fully registered patient attending the Manchester Royal Eye Hospital
- Patients are having an optical diagnostic imaging as part of their standard of care.
Exclusion Criteria:
Patients are excluded from the study if any of the following criteria apply:
1. Patient who are deemed clinically unable to be scanned by healthcare professional.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
기간 |
|---|---|
|
Measure of the diagnostic accuracy of the AI algorithm against gold standard clinical assessment associated with cancer treatment.
기간: 12 months
|
12 months
|
2차 결과 측정
결과 측정 |
기간 |
|---|---|
|
Sensitivity of the AI in identifying clinically relevant lesions as defined by an ophthalmologist. Specificity of the AI in identifying clinically relevant lesions as defined by an ophthalmologist.
기간: 12 months
|
12 months
|
기타 결과 측정
결과 측정 |
기간 |
|---|---|
|
F1 score of the proposed algorithm compared against baseline algorithms.
기간: 13 months
|
13 months
|
|
Recorded questionnaire/ interview with ophthalmologist and cancer specialists.
기간: 9 months
|
9 months
|
|
Number of novel relationships identified
기간: 12 months
|
12 months
|
공동 작업자 및 조사자
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (예상)
연구 완료 (예상)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
- NHS001768
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .
All Comers에 대한 임상 시험
-
Syracuse UniversityBill and Melinda Gates Foundation; Texas A&M University; Jimma University완전한
-
Group for Research in Adult Acute Lymphoblastic...모병
-
PersonGen BioTherapeutics (Suzhou) Co., Ltd.아직 모집하지 않음
-
Union Hospital, Tongji Medical College, Huazhong...모병
-
Nantes University Hospital빼는
No Intervention에 대한 임상 시험
-
Shanghai Yueyang Integrated Medicine Hospital아직 모집하지 않음
-
Second Affiliated Hospital, School of Medicine,...모집하지 않고 적극적으로
-
Guangzhou Women and Children's Medical Center아직 모집하지 않음NEC - 괴사성 장염
-
Monash UniversityThe Alfred; Melbourne Sexual Health Centre모병매독중국, 호주, 남아프리카, 영국
-
IRCCS San Raffaele모집하지 않고 적극적으로