Ebrahimi B S, Khwaounjoo P, Argus F, Chan H F, Nash M P, McGiffin D, Kaye D, Doi A, Joseph T, Whitford H, Tawhai M H
Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul;2023:1-4. doi: 10.1109/EMBC40787.2023.10340433.
Chronic thromboembolic pulmonary hypertension (CTEPH) involves abnormally high blood pressure in the pulmonary vessels and is associated with small vessel vasculopathy and pre-capillary proximal occlusions. Management of CTEPH disease is challenging, therefore accurate diagnosis is crucial in ensuring effective treatment and improved patient outcomes. The treatment of choice for CTEPH is pulmonary endarterectomy, which is an invasive surgical intervention to remove thrombi. Following PEA, a number of patients experience poor outcomes or worse-than-expected improvements, which may indicate that they have significant small vessel disease. A method that can predict the extent of distal remodelling may provide useful clinical information to plan appropriate CTEPH patient treatment. Here, a novel biophysical modelling approach has been developed to estimate and quantify the extent of distal remodelling. This method includes a combination of mathematical modelling and computed tomography pulmonary angiography to first model the geometry of the pulmonary arteries and to identify the under-perfused regions in CTEPH. The geometric model is then used alongside haemodynamic measurements from right heart catheterisation to predict distal remodelling. In this study, the method is tested and validated using synthetically generated remodelling data. Then, a preliminary application of this technique to patient data is shown to demonstrate the potential of the approach for use in the clinical setting.Clinical relevance- Patient-specific modelling can help provide useful information regarding the extent of distal vasculopathy on a per-patient basis, which remains challenging. Physicians can be unsure of outcomes following pulmonary endarterectomy. Therefore, the predictive aspect of the patient's response to surgery can help with clinical decision-making.
慢性血栓栓塞性肺动脉高压(CTEPH)涉及肺血管内血压异常升高,并与小血管血管病变和毛细血管前近端阻塞有关。CTEPH疾病的管理具有挑战性,因此准确诊断对于确保有效治疗和改善患者预后至关重要。CTEPH的首选治疗方法是肺动脉内膜剥脱术,这是一种去除血栓的侵入性外科手术。在肺动脉内膜剥脱术后,许多患者的预后较差或改善程度低于预期,这可能表明他们患有严重的小血管疾病。一种能够预测远端重塑程度的方法可能会为规划合适的CTEPH患者治疗提供有用的临床信息。在此,已开发出一种新颖的生物物理建模方法来估计和量化远端重塑的程度。该方法包括数学建模和计算机断层扫描肺动脉造影的结合,首先对肺动脉的几何形状进行建模,并识别CTEPH中灌注不足的区域。然后将几何模型与右心导管检查的血流动力学测量结果一起用于预测远端重塑。在本研究中,使用合成生成的重塑数据对该方法进行了测试和验证。然后,展示了该技术在患者数据上的初步应用,以证明该方法在临床环境中的应用潜力。临床相关性——针对患者的建模有助于在个体患者基础上提供有关远端血管病变程度的有用信息,这仍然具有挑战性。医生可能不确定肺动脉内膜剥脱术后的结果。因此,患者对手术反应的预测方面有助于临床决策。