Diagnostic Trial of a Vision Transformer-Based Ultrasound AI Model for Placenta Accreta Spectrum
Ориентир для пациента и семьи
Простыми словами
Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.
- Что изучают
- В протоколе указаны: Vision Transformer-Based End-to-End Ultrasound Artificial Intelligence Model.
- Кому может быть актуально
- Состояния в реестре: Placenta Accreta Spectrum. Базовые параметры: 18 лет — 45 лет · Женщины.
- Что важно проверить
- Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
- Где проводится
- Китай
- Следующий шаг
- Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
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Официальное название
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
Обзор
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.
Подробное описание
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.
Вмешательства
- Диагностический тест Vision Transformer-Based End-to-End Ultrasound Artificial Intelligence Model
An end-to-end ultrasound AI model based on the Vision Transformer (ViT) architecture was developed for the diagnosis of placenta accreta spectrum (PAS) using standardized ultrasound video inputs. Ultrasound Video Acquisition Protocol: With the patient in the supine position, the operator scanned the lower abdomen using a conventional grayscale probe. Video recording was performed in gray-scale mode for approximately 20-30 seconds, ensuring that the entire scanning region from the lower uterine s
Первичные конечные точки
- Diagnostic performance of the end-to-end Vision Transformer (ViT)-based ultrasound AI model for placenta accreta spectrum (PAS) [Срок оценки: At delivery (following confirmation of PAS status by surgical and/or pathological findings)]
Вторичные конечные точки (3)
- Clinical Feasibility of the Standardized Ultrasound Video Recording Method [Срок оценки: At enrollment during the ultrasound examination]
- Consistency and Efficiency Between the AI Model and Physician Diagnosis [Срок оценки: At enrollment during the ultrasound examination]
- Safety of the AI Model [Срок оценки: At delivery, when PAS status and maternal outcomes are assessed]
Критерии участия
Критерии включения
- Pregnant women aged between 18 and 45 years;
- Gestational age between 24 and 34 weeks;
- Pregnant women with a history of placenta previa;
- Pregnant women with an anterior placenta;
- Willingness to participate in the study and provision of written informed consent.
Критерии исключения
- Failure to provide written informed consent;
- Presence of severe complications that precluded continuation of pregnancy;
- Inability to comply with study procedures for other reasons.
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Нет
Дизайн исследования
- Модель наблюдения
- Другое
Центры проведения
Китай · 1 центр
- The Third Affiliated Hospital, Guangzhou Medical University — Гуанчжоу
Идентификаторы
NCT: NCT07643090 · Ethics Review NO. 286A01