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Набор скоро начнётся NCT06911086

SH-LPS System in Preoperative Planning for Liver Resection

Фаза II / Фаза III С лечением Liver Tumor; Surgery 3D Printing Preoperative Planning

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: 3D printed models, CT or MRI image.
Кому может быть актуально
Состояния в реестре: Liver Tumor; Surgery, 3D Printing, Preoperative Planning. Базовые параметры: 18 лет — 80 лет · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Список центров уточняется — проверьте первичный протокол.
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
Официальное название

SH-LPS System in Preoperative Planning for Liver Resection: a Randomized Controlled Trial

Обзор

Effective preoperative planning and real-time intraoperative guidance are crucial for performing accurate liver resections. To address this need, the researchers have designed advanced 3D-printed liver models using a self-healing elastomer, created through the copolymerization of 4-acryloylmorpholine (ACMO) and methoxy poly(ethylene glycol) acrylate (mPEGA). These models demonstrate outstanding healing properties, swiftly restoring their structure within minutes at room temperature, and quickly recovering after incisions. In previous studies, Professor Yuhua Zhang, the project applicant, collaborated with a team from Zhejiang University to develop a 3D-printed liver model that is self-healing and reusable for repeated cutting. They preliminarily explored the feasibility of applying this model for preoperative planning and surgical training for liver surgeries. The results were published in Nature Communications (Lu et al., Nat Commun. Dec 19;14(1):8447). Building on this, the applicant intends to establish a personalized liver surgery planning system (Personalized Liver Surgery Planning System Based on High-Fidelity 3D Printed Self-Healing Liver Models, SH-LPS), which will assess, through a randomized controlled trial, the value of SH-LPS in improving liver surgery efficiency and safety.

Вмешательства

  • Устройство 3D printed models
    A three-dimensional digital model is constructed based on the patient's preoperative CT/MRI images, and a personalized physical model is created using 3D printing. This model has the ability to self-heal after being cut. Surgeons can perform multiple simulated surgeries on the model to plan the optimal surgical path before the authetic surgery
  • Другое CT or MRI image
    Obtain the patient's CT/MRI images and determine the definitive surgical path based on the two-dimensional images.

Первичные конечные точки

  • Opertation duration [Срок оценки: Until the end of the surgey]
  • Blood loss [Срок оценки: Until the end of the surgey]
Вторичные конечные точки (3)
  • R0 resection rate [Срок оценки: Until the day the official pathology report comes out, an average of two weeks]
  • Surgical complications [Срок оценки: Until three months after the surgery]
  • Postoperative hospital stay. [Срок оценки: Until the day the patient is discharged, an average of one week.]

Критерии участия

Критерии включения

  • 18-80 years old;
  • Patients with a resectable tumor in the liver;
  • Eastern Cooperative Oncology Group Performance status score: 0;
  • Child-Pugh classification: A;
  • The Laboratory test results meet the following criteria and patients can tolerate surgery: Haemoglobin≥90g/L, Neutrophil count≥1.5×10⁹/L, Platelet count≥100×10⁹/L, Aspartate or alanine aminotransferase≤5 upper limits of normal(ULN), alkaline phosphatase≤2.5 ULN, Serum albumin≥30g/L, serum creatinine<1.5 ULN, International normalized ratios(INR)≤2 or rothrombin time(PT)exceed ULN≤6s, Creatinine clearance≥60 mL/min.

Критерии исключения

  • Patients with extra-hepatic metastasis;
  • Anti-cancer therapy or surgery such as radiotherapy, radiofrequency ablation in 28 days prior to the surgery;
  • Clinically significant bleeding or bleeding tendencies within 3 months prior to enrollment or on thrombolytic or anticoagulant therapy;
  • Severe lung disease (eg, acute lung disease, pulmonary fibrosis that affects lung function, interstitial lung disease), uncontrolled diabetes mellitus (fasting blood glucose ≥10 mmol/L);
  • There are other unsuitable candidates for clinical trials, such as mental illness or alcohol dependence.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Распределение
Рандомизированное
Модель
Параллельные группы
Маскирование
Простое слепое
Основная цель
Лечение

Центры проведения

Список центров уточняется — проверьте первичный протокол.

Идентификаторы

NCT: NCT06911086 · IRB-2025-27(IIT)

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗