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

2 września 2026 zaktualizowane przez: 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.

Przegląd badań

Szczegółowy opis

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.

Typ studiów

Obserwacyjny

Zapisy (Szacowany)

250

Kontakty i lokalizacje

Ta sekcja zawiera dane kontaktowe osób prowadzących badanie oraz informacje o tym, gdzie badanie jest przeprowadzane.

Kontakt w sprawie studiów

  • Nazwa: Jiale Qin, Prof., Professor
  • Numer telefonu: +86 0571-89998869
  • E-mail: qinjiale@zju.edu.cn

Kopia zapasowa kontaktu do badania

Lokalizacje studiów

    • Zhejiang
      • Hangzhou, Zhejiang, Chiny, 310006
        • Women's Hospital School Of Medicine Zhejiang University
        • Kontakt:
        • Kontakt:
      • Shaoxing, Zhejiang, Chiny, 311800
        • Shaoxing Maternity and Child Health Care Hospital
        • Kontakt:
          • Hua Yuan, Chief physician in ultrasound
          • Numer telefonu: +86 0575-88211352
          • E-mail: yh0464@163.com
        • Kontakt:

Kryteria uczestnictwa

Badacze szukają osób, które pasują do określonego opisu, zwanego kryteriami kwalifikacyjnymi. Niektóre przykłady tych kryteriów to ogólny stan zdrowia danej osoby lub wcześniejsze leczenie.

Kryteria kwalifikacji

Wiek uprawniający do nauki

  • Dorosły
  • Starszy dorosły

Akceptuje zdrowych ochotników

Nie

Metoda próbkowania

Próbka bez prawdopodobieństwa

Badana populacja

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.

Opis

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

Plan studiów

Ta sekcja zawiera szczegółowe informacje na temat planu badania, w tym sposób zaprojektowania badania i jego pomiary.

Jak projektuje się badanie?

Szczegóły projektu

Kohorty i interwencje

Grupa / Kohorta
Interwencja / Leczenie
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.

Co mierzy badanie?

Podstawowe miary wyniku

Miara wyniku
Opis środka
Ramy czasowe
Completeness of ultrasound feature acquisition
Ramy czasowe: 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
Ramy czasowe: 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
Ramy czasowe: 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
Ramy czasowe: 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
Ramy czasowe: 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
Ramy czasowe: 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
Ramy czasowe: 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

Miary wyników drugorzędnych

Miara wyniku
Opis środka
Ramy czasowe
Confidence in ultrasound feature acquisition and diagnosis
Ramy czasowe: 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

Współpracownicy i badacze

Tutaj znajdziesz osoby i organizacje zaangażowane w to badanie.

Daty zapisu na studia

Daty te śledzą postęp w przesyłaniu rekordów badań i podsumowań wyników do ClinicalTrials.gov. Zapisy badań i zgłoszone wyniki są przeglądane przez National Library of Medicine (NLM), aby upewnić się, że spełniają określone standardy kontroli jakości, zanim zostaną opublikowane na publicznej stronie internetowej.

Główne daty studiów

Rozpoczęcie studiów (Szacowany)

19 sierpnia 2026

Zakończenie podstawowe (Szacowany)

31 marca 2027

Ukończenie studiów (Szacowany)

31 marca 2027

Daty rejestracji na studia

Pierwszy przesłany

17 sierpnia 2026

Pierwszy przesłany, który spełnia kryteria kontroli jakości

2 września 2026

Pierwszy wysłany (Rzeczywisty)

3 września 2026

Aktualizacje rekordów badań

Ostatnia wysłana aktualizacja (Rzeczywisty)

3 września 2026

Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości

2 września 2026

Ostatnia weryfikacja

1 września 2026

Więcej informacji

Terminy związane z tym badaniem

Inne numery identyfikacyjne badania

  • IRB-20250490-R

Plan dla danych uczestnika indywidualnego (IPD)

Planujesz udostępniać dane poszczególnych uczestników (IPD)?

NIE

Informacje o lekach i urządzeniach, dokumenty badawcze

Bada produkt leczniczy regulowany przez amerykańską FDA

Nie

Bada produkt urządzenia regulowany przez amerykańską FDA

Nie

Te informacje zostały pobrane bezpośrednio ze strony internetowej clinicaltrials.gov bez żadnych zmian. Jeśli chcesz zmienić, usunąć lub zaktualizować dane swojego badania, skontaktuj się z register@clinicaltrials.gov. Gdy tylko zmiana zostanie wprowadzona na stronie clinicaltrials.gov, zostanie ona automatycznie zaktualizowana również na naszej stronie internetowej .

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