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

2. september 2026 opdateret af: 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.

Studieoversigt

Status

Ikke rekrutterer endnu

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

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.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

250

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

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

Undersøgelse Kontakt Backup

Studiesteder

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

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

Ingen

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

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.

Beskrivelse

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

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Kohorter og interventioner

Gruppe / kohorte
Intervention / Behandling
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.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Completeness of ultrasound feature acquisition
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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
Tidsramme: 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

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Confidence in ultrasound feature acquisition and diagnosis
Tidsramme: 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

Samarbejdspartnere og efterforskere

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Sponsor

Samarbejdspartnere

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Anslået)

19. august 2026

Primær færdiggørelse (Anslået)

31. marts 2027

Studieafslutning (Anslået)

31. marts 2027

Datoer for studieregistrering

Først indsendt

17. august 2026

Først indsendt, der opfyldte QC-kriterier

2. september 2026

Først opslået (Faktiske)

3. september 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

3. september 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

2. september 2026

Sidst verificeret

1. september 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • IRB-20250490-R

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