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Diagnostic Trial of a Vision Transformer-Based Ultrasound AI Model for Placenta Accreta Spectrum

8. juni 2026 opdateret af: FANG HE

Diagnostic Trial of Vision Transformer-Based End-to-End Ultrasound Artificial Intelligence Model for Assisting in the Diagnosis of Placenta Accreta Spectrum Disorders: An Investigator-Initiated Prospective Clinical Study

This study develops an end-to-end Vision Transformer (ViT)-based artificial intelligence system for ultrasound-based diagnosis of placenta accreta spectrum (PAS), aiming to improve the accuracy and efficiency of prenatal screening using standardized ultrasound video inputs.

Studieoversigt

Detaljeret beskrivelse

Placenta accreta spectrum (PAS) is a life-threatening obstetric disorder involving abnormal placental invasion into the uterine wall, which is associated with severe maternal and neonatal complications. Despite advances in imaging, prenatal diagnosis remains challenging due to variability in ultrasound interpretation and reliance on operator expertise.

This study will establish a standardized ultrasound video acquisition protocol and develop a deep learning-based model using Vision Transformer (ViT) architecture to process dynamic ultrasound sequences. The model will be trained using clinically confirmed postpartum outcomes as reference labels.

The diagnostic performance of the system will be systematically evaluated, with the goal of improving consistency in interpretation and supporting more efficient clinical decision-making in prenatal PAS screening.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

561

Kontakter og lokationer

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

Studiekontakt

Studiesteder

    • Guangdong
      • Guangzhou, Guangdong, Kina, 510150
        • Rekruttering
        • The Third Affiliated Hospital, Guangzhou Medical University
        • 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

Tager imod sunde frivillige

Ingen

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

Pregnant women aged 18-45 years; Gestational age between 24 and 34 weeks; Pregnant women with a history of placenta previa or with an anterior placenta.

Beskrivelse

Inclusion criteria:

  1. Pregnant women aged between 18 and 45 years;
  2. Gestational age between 24 and 34 weeks;
  3. Pregnant women with a history of placenta previa;
  4. Pregnant women with an anterior placenta;
  5. Willingness to participate in the study and provision of written informed consent.

Exclusion criteria:

  1. Failure to provide written informed consent;
  2. Presence of severe complications that precluded continuation of pregnancy;
  3. Inability to comply with study procedures for other reasons.

Studieplan

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

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Diagnostic performance of the end-to-end Vision Transformer (ViT)-based ultrasound AI model for placenta accreta spectrum (PAS)
Tidsramme: At delivery (following confirmation of PAS status by surgical and/or pathological findings)
Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC) of the model.
At delivery (following confirmation of PAS status by surgical and/or pathological findings)

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Clinical Feasibility of the Standardized Ultrasound Video Recording Method
Tidsramme: At enrollment during the ultrasound examination
Completion Rate (Proportion of patients who successfully complete the standardized recording) and time consumption (Mean recording time)
At enrollment during the ultrasound examination
Consistency and Efficiency Between the AI Model and Physician Diagnosis
Tidsramme: At enrollment during the ultrasound examination
Diagnostic Consistency: Kappa coefficient used to evaluate the consistency between the AI model's diagnoses and those of experienced ultrasound physicians (Kappa > 0.75 indicates good agreement).
At enrollment during the ultrasound examination
Safety of the AI Model
Tidsramme: At delivery, when PAS status and maternal outcomes are assessed
False Negative Rate: Proportion of missed PAS-positive patients and the impact on patient outcomes .
At delivery, when PAS status and maternal outcomes are assessed

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

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 (Faktiske)

1. september 2025

Primær færdiggørelse (Anslået)

1. september 2027

Studieafslutning (Anslået)

31. december 2027

Datoer for studieregistrering

Først indsendt

2. juni 2026

Først indsendt, der opfyldte QC-kriterier

8. juni 2026

Først opslået (Faktiske)

11. juni 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

11. juni 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

8. juni 2026

Sidst verificeret

1. juni 2026

Mere information

Begreber relateret til denne undersøgelse

Plan for individuelle deltagerdata (IPD)

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Kliniske forsøg med Placenta Accreta Spectrum

Abonner