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OCT-PRO Model vs. Clinicians: Cataract Surgery Outcome Prediction

17 de julho de 2026 atualizado por: Haotian Lin, Zhongshan Ophthalmic Center, Sun Yat-sen University

A Randomized Controlled Trial Comparing the Accuracy of the Postoperative Vision Prediction Model for Cataract Surgery (OCT-PRO) With Clinicians' Predictions of Surgical Outcomes

Cataract is the leading cause of blindness worldwide, yet 5-20% of patients fail to achieve satisfactory visual recovery after surgery. Current methods for predicting postoperative visual acuity lack accuracy, particularly in patients with co-morbid fundus diseases. The OCT-PRO model, developed by our team, uses artificial intelligence (AI) to integrate optical coherence tomography (OCT) images and clinical data to forecast surgical outcomes. This multi-center, randomized, single-blind trial aims to compare the predictive accuracy of OCT-PRO-assisted predictions versus standard clinician predictions. A total of 534 participants will be randomized 1:1 to either the experimental group (OCT-PRO-assisted prediction) or the control group (routine care). The primary outcome is the mean absolute error (MAE) between predicted and actual postoperative best-corrected visual acuity (BCVA). Secondary outcomes include patient satisfaction, informed decision-making scores, and clinician acceptance of the AI tool. This study will provide high-level evidence on the clinical utility of AI in optimizing cataract surgical decision-making and patient communication.

Visão geral do estudo

Status

Ainda não está recrutando

Condições

Descrição detalhada

Cataract is the leading cause of blindness worldwide, yet 5-20% of patients fail to achieve satisfactory visual recovery after surgery. Accurate preoperative prediction remains challenging, particularly for eyes with co-morbid retinal pathologies, as current methods relying on clinician experience and traditional tests (e.g., laser interferometry) often lack reproducibility. Although AI models like OCT-PRO show promise, prospective RCT evidence comparing their accuracy against clinicians is lacking.

This multi-center, randomized, assessor-blinded trial will enroll 534 adults scheduled for cataract surgery. Participants are allocated 1:1 to either the Experimental Group or the Control Group via centralized randomization. In the Experimental Group, clinicians use the OCT-PRO model-integrating OCT images and clinical data-to obtain a predicted postoperative BCVA. Physicians may confirm or adjust this prediction, and the final value is communicated to patients during preoperative counseling. The Control Group receives standard care, where predictions are based solely on conventional clinical assessments without AI assistance. Outcome assessors will be blinded to group allocation.

The primary endpoint is the Mean Absolute Error (MAE) between predicted and actual postoperative BCVA. Secondary endpoints include patient-reported outcomes (expectations, informed choice, satisfaction), clinician acceptance of the model, and correlation analyses. Analysis will follow the Intention-to-Treat principle. This study aims to provide high-level evidence on integrating AI into clinical workflows to enhance prognostic accuracy and optimize shared decision-making in cataract surgery.

Tipo de estudo

Intervencional

Inscrição (Estimado)

534

Estágio

  • Não aplicável

Critérios de participação

Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.

Critérios de elegibilidade

Idades elegíveis para estudo

  • Adulto
  • Adulto mais velho

Aceita Voluntários Saudáveis

Não

Descrição

Inclusion Criteria:

  • Age ≥18 years scheduled to undergo phacoemulsification with intraocular lens (Phaco+IOL) implantation.
  • Outpatient diagnosis of senile, complicated, or metabolic cataract.
  • For bilateral cataracts, the eye with more advanced disease will be included.

Exclusion Criteria:

  • History of amblyopia or neuro-ophthalmic disease in the operative eye.
  • Poor-quality OCT images precluding clear visualization of fundus structures.
  • Previous intraocular surgery in the operative eye.
  • Hearing or intellectual impairment preventing adequate cooperation.

Plano de estudo

Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.

Como o estudo é projetado?

Detalhes do projeto

  • Finalidade Principal: Outro
  • Alocação: Randomizado
  • Modelo Intervencional: Atribuição Paralela
  • Mascaramento: Solteiro

Armas e Intervenções

Grupo de Participantes / Braço
Intervenção / Tratamento
Experimental: OCT-PRO Assisted Prediction
Clinicians input preoperative OCT images and clinical data into the OCT-PRO model to generate a predicted postoperative BCVA. Physicians may confirm or adjust this AI prediction to determine a final value. This final prediction value is then communicated to the patient as supplementary information during routine preoperative counseling.
The OCT-PRO model integrates optical coherence tomography (OCT) images and clinical data to predict postoperative best-corrected visual acuity (BCVA). In the experimental group, clinicians input preoperative data into the model, confirm or adjust the prediction, and communicate the final value to patients during preoperative counseling.
Comparador Ativo: Routine Clinical Prediction
Clinicians perform standard preoperative assessments based on clinical experience and examination results. Predictions of postoperative visual acuity are made solely by physician judgment without AI assistance. Patients receive routine preoperative counseling regarding surgical risks and expected outcomes.
Standard preoperative communication based on clinical experience and conventional examinations without AI assistance.

O que o estudo está medindo?

Medidas de resultados primários

Medida de resultado
Prazo
The Mean Absolute Error (MAE) between the predicted postoperative BCVA and the actual measured BCVA at 1 month post-surgery.
Prazo: Baseline, 1 month post-surgery
Baseline, 1 month post-surgery

Medidas de resultados secundários

Medida de resultado
Descrição da medida
Prazo
Patient-reported consistency between surgical outcomes and expectations
Prazo: Baseline, 1 month post-surgery
Patient-perceived alignment between actual surgical outcomes and preoperative expectations, measured via a validated questionnaire using a 5-point Likert scale (strongly disagree to strongly agree).
Baseline, 1 month post-surgery
Patient-reported psychological impact of preoperative prognostic disclosure
Prazo: Baseline, 1 month post-surgery
Psychological response to receiving preoperative prognostic information (e.g., anxiety, reassurance), measured via a validated questionnaire using a 5-point Likert scale (strongly disagree to strongly agree).
Baseline, 1 month post-surgery
Patient-reported willingness to recommend prognostic information to others
Prazo: Baseline, 1 month post-surgery
Willingness to recommend cataract surgery prognostic information to others (e.g., family or friends), measured via a validated questionnaire using a 5-point Likert scale (strongly disagree to strongly agree).
Baseline, 1 month post-surgery
Patient-reported satisfaction with healthcare services
Prazo: Baseline, 1 month post-surgery
Patient satisfaction with overall healthcare services received during cataract surgery (e.g., communication, care quality, information clarity), measured via a validated questionnaire using a 5-point Likert scale (strongly disagree to strongly agree).
Baseline, 1 month post-surgery
Clinician-reported outcomes assessing the satisfaction of using OCT-PRO in cataract treatment decision-making
Prazo: Baseline, 1 month post-surgery
Clinician-reported satisfaction with incorporating OCT-PRO into preoperative decision-making (e.g., ease of use, confidence in prediction, communication aid), measured via a validated questionnaire using a 5-point Likert scale (strongly disagree to strongly agree).
Baseline, 1 month post-surgery
Correlation coefficients (Pearson/Spearman) between predicted and actual BCVA in both groups
Prazo: From before surgery to 1 month (±1 week) post-surgery
From before surgery to 1 month (±1 week) post-surgery

Colaboradores e Investigadores

É aqui que você encontrará pessoas e organizações envolvidas com este estudo.

Datas de registro do estudo

Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados ​​pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.

Datas Principais do Estudo

Início do estudo (Estimado)

20 de julho de 2026

Conclusão Primária (Estimado)

31 de outubro de 2026

Conclusão do estudo (Estimado)

31 de dezembro de 2026

Datas de inscrição no estudo

Enviado pela primeira vez

14 de julho de 2026

Enviado pela primeira vez que atendeu aos critérios de CQ

17 de julho de 2026

Primeira postagem (Real)

20 de julho de 2026

Atualizações de registro de estudo

Última Atualização Postada (Real)

20 de julho de 2026

Última atualização enviada que atendeu aos critérios de controle de qualidade

17 de julho de 2026

Última verificação

1 de julho de 2026

Mais Informações

Termos relacionados a este estudo

Termos MeSH relevantes adicionais

Outros números de identificação do estudo

  • 2026KYPJ063

Plano para dados de participantes individuais (IPD)

Planeja compartilhar dados de participantes individuais (IPD)?

NÃO

Informações sobre medicamentos e dispositivos, documentos de estudo

Estuda um medicamento regulamentado pela FDA dos EUA

Não

Estuda um produto de dispositivo regulamentado pela FDA dos EUA

Não

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