Esta página foi traduzida automaticamente e a precisão da tradução não é garantida. Por favor, consulte o versão em inglês para um texto fonte.

An AI-Assisted Agentic System for Ultrasound Scanning and Diagnosis of Ovarian Lesions

2 de setembro de 2026 atualizado por: Jiale Qin, Women's Hospital School Of Medicine Zhejiang University

New Strategy of Knowledge-Enhanced Large Model for Ultrasound Scanning and Diagnosis of Ovarian Masses

Investigators developed an interactive agentic system designed to guide newly qualified sonographers in ovarian lesion scanning and improve their scanning quality and diagnostic performance toward expert-level standards. Our agentic system is capable of capturing key features including the max-diameter plane of ovarian lesions from dynamic ultrasound videos, translating these findings into standardized International Ovarian Tumor Analysis (IOTA) descriptors, and providing multi-turn guidance for subsequent scanning, and ultimately generating an AI-assisted diagnostic assessment based on embedded expert knowledge.

In this multicenter study, participants are asked to undergo gynecological ultrasonography performed by sonographers with less than 3 years of experience with or without AI assistance. Our researchers will compare the performance of operators working with AI against that of operators working without AI, as well as against the performance of expert sonographers, to see whether AI assistance enhances the proficiency of less experienced operators and help them approach the scanning quality and diagnostic accuracy of expert sonographers in real-world clinical scenarios.

Visão geral do estudo

Descrição detalhada

This multicenter, prospective study will be conducted at tertiary cancer centers and primary healthcare institutions across China. Participants will be recruited from gynecological ultrasound clinics of each site.

Each participant will undergo gynecological ultrasonography under both AI-assisted and unassisted conditions according to their group allocation. Following completion of the study examinations, expert sonographers with more than 10 years of experience, blinded to the scanning and diagnostic results of the junior sonographers, will independently perform a repeat gynecological ultrasound examination of each participant. Based solely on their independent examination, they will issue the final clinical report for each participant. The expert assessments will serve as one reference standard for evaluating scanning completeness, feature interpretation accuracy and diagnostic agreement. Histopathological findings, when available, or clinical follow-up for conservatively managed lesions will serve as the reference standard for evaluating diagnostic accuracy.

Tipo de estudo

Observacional

Inscrição (Estimado)

250

Contactos e Locais

Esta seção fornece os detalhes de contato para aqueles que conduzem o estudo e informações sobre onde este estudo está sendo realizado.

Contato de estudo

  • Nome: Jiale Qin, Prof., Professor
  • Número de telefone: +86 0571-89998869
  • E-mail: qinjiale@zju.edu.cn

Estude backup de contato

Locais de estudo

    • Zhejiang
      • Hangzhou, Zhejiang, China, 310006
        • Women's Hospital School Of Medicine Zhejiang University
        • Contato:
          • Jiale Qin, Prof., Professor
          • Número de telefone: +86 0571-89998869
          • E-mail: qinjiale@zju.edu.cn
        • Contato:
      • Shaoxing, Zhejiang, China, 311800
        • Shaoxing Maternity and Child Health Care Hospital
        • Contato:
          • Hua Yuan, Chief physician in ultrasound
          • Número de telefone: +86 0575-88211352
          • E-mail: yh0464@163.com
        • Contato:

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

Método de amostragem

Amostra Não Probabilística

População do estudo

Participants, with suspected ovarian masses identified clinically or by previous imaging examination, will be consecutively recruited from gynecological ultrasound clinics of tertiary cancer centers and primary healthcare institutions across China.

Descrição

Inclusion Criteria:

  • Female aged 18-75 years
  • With suspected ovarian masses identified clinically or by previous imaging examination
  • Eligible for and able to undergo transvaginal or transabdominal ultrasonography
  • Agree to provide written informed consent before enrollment

Exclusion Criteria:

  • No ovarian mass identified on ultrasound examination
  • Previous bilateral oophorectomy
  • Previous surgery or chemotherapy for ovarian cancer
  • Previous treatment for other malignant tumors
  • Presence of any psychiatric or psychological disorders that may prevent completion of the study procedures or follow-up
  • Concurrent participation in other clinical trials that may interfere with the outcomes of this study

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

Coortes e Intervenções

Grupo / Coorte
Intervenção / Tratamento
Arm A: experimental sequence of non-AI exertion followed by AI-assisted exertion
The goal is to test the within-operator effect associated with AI assistance by comparing the performance of the same junior sonographer before and after AI guidance, and to compare the performance of both AI-assisted and unaided junior sonographers with that of the standalone AI model.
Participants first undergo ultrasound scanning and diagnosis by a junior sonographer without AI assistance, followed by ultrasound scanning by the same sonographer with AI assistance.
Arm B: experimental sequence of AI-assisted exertion followed by non-AI exertion
The goal is to test the clinical utility of AI with minimized potential carry-over effects and recall bias caused by repeated examinations on the same patient, by comparing the performance of one junior sonographer with AI-assisted, with that of independent unaided junior sonographers, and by comparing the performance of both AI-assisted junior sonographers and another unaided ones with that of the standalone AI model.
Participants first undergo ultrasound scanning and diagnosis by a junior sonographer with AI assistance, followed by ultrasound scanning by another junior sonographer without AI assistance. The two junior sonographers are blinded to each other's scanning and assessment results.

O que o estudo está medindo?

Medidas de resultados primários

Medida de resultado
Descrição da medida
Prazo
Completeness of ultrasound feature acquisition
Prazo: Up to 7 days from completion of the study
The completeness of ultrasound feature acquisition will be assessed with reference to national authoritative quality-control standards. After each examination, all stored ultrasound images and videos will be labeled according to their intended purpose. A feature will be considered adequately acquired when at least one stored image or video provides sufficient visual evidence for assessment of that feature. The proportion of required features successfully acquired will be calculated. The proportion of redundant stored images will also be recorded as an additional indicator of acquisition quality.
Up to 7 days from completion of the study
Accuracy of interpretation of individual ultrasound features
Prazo: Up to 7 days from completion of the study
The accuracy of interpretation of ultrasound features will be assessed by comparing the assessments made by junior sonographers under AI-assisted and unassisted conditions with the findings independently acquired and interpreted by expert sonographers during a separate repeat ultrasound examination. The accuracy rate for each feature will be calculated.
Up to 7 days from completion of the study
Agreement between junior and expert sonographers in ultrasound diagnosis
Prazo: Up to 7 days from completion of the study
Agreement between junior and expert sonographers will be assessed for the final diagnosis of ovarian lesions. The assessments made by junior sonographers under AI-assisted and unassisted conditions will be compared with the corresponding diagnoses independently obtained by expert sonographers during a separate repeat ultrasound examination, which will then be quantified using appropriate agreement statistics.
Up to 7 days from completion of the study
Diagnostic accuracy of ovarian tumors
Prazo: Within 3 months after the ultrasonography examination
Diagnostic accuracy will be assessed against histopathological diagnosis as the golden reference standard. This outcome will be evaluated only in participants who undergo surgical treatment and have definitive histopathological findings based on paraffin-embedded surgical specimens.
Within 3 months after the ultrasonography examination
Diagnostic performance of ovarian tumors
Prazo: Within 3 months after the ultrasonography examination
Area under curve will be assessed against histopathological diagnosis as the golden reference standard. This outcome will be evaluated only in participants who undergo surgical treatment and have definitive histopathological findings based on paraffin-embedded surgical specimens.
Within 3 months after the ultrasonography examination
Diagnostic performance of ovarian tumors
Prazo: Within 3 months after the ultrasonography examination
Diagnostic sensitivity and specificity will be assessed against histopathological diagnosis as the golden reference standard. This outcome will be evaluated only in participants who undergo surgical treatment and have definitive histopathological findings based on paraffin-embedded surgical specimens.
Within 3 months after the ultrasonography examination
Diagnostic performance of ovarian tumors
Prazo: Within 3 months after the ultrasonography examination
Diagnostic F1-score will be assessed against histopathological diagnosis as the golden reference standard. This outcome will be evaluated only in participants who undergo surgical treatment and have definitive histopathological findings based on paraffin-embedded surgical specimens.
Within 3 months after the ultrasonography examination

Medidas de resultados secundários

Medida de resultado
Descrição da medida
Prazo
Confidence in ultrasound feature acquisition and diagnosis
Prazo: Up to 7 days from completion of the study
Sonographers' confidence in the completeness and adequacy of feature acquisition and in their final diagnostic assessment will be evaluated using a predefined rating scale as follows: 5 = very confident, 4 = confident, 3 = uncertain, 2 = less confident, and 1 = not confident at al.
Up to 7 days from completion of the study

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)

19 de agosto de 2026

Conclusão Primária (Estimado)

31 de março de 2027

Conclusão do estudo (Estimado)

31 de março de 2027

Datas de inscrição no estudo

Enviado pela primeira vez

17 de agosto de 2026

Enviado pela primeira vez que atendeu aos critérios de CQ

2 de setembro de 2026

Primeira postagem (Real)

3 de setembro de 2026

Atualizações de registro de estudo

Última Atualização Postada (Real)

3 de setembro de 2026

Última atualização enviada que atendeu aos critérios de controle de qualidade

2 de setembro de 2026

Última verificação

1 de setembro de 2026

Mais Informações

Termos relacionados a este estudo

Outros números de identificação do estudo

  • IRB-20250490-R

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

Essas informações foram obtidas diretamente do site clinicaltrials.gov sem nenhuma alteração. Se você tiver alguma solicitação para alterar, remover ou atualizar os detalhes do seu estudo, entre em contato com register@clinicaltrials.gov. Assim que uma alteração for implementada em clinicaltrials.gov, ela também será atualizada automaticamente em nosso site .

Se inscrever