基于磁共振成像的人工智能技术在垂体腺瘤中的应用研究现状

Research status of application of artificial intelligence technology based on magnetic resonance imaging in pituitary adenomas

垂体腺瘤是颅内常见的良性肿瘤,但可表现出高侵袭性和复发率,且发病率呈逐年上升趋势。影像组学和深度学习是人工智能在医学影像领域的重要研究方向,广泛应用于肿瘤影像研究,并在垂体腺瘤的异质性诊断、疗效评估及预后预测等方面发挥着重要作用。本文就影像组学和深度学习在垂体腺瘤的应用和研究进展进行综述。

Pituitary adenoma is a common benign intracranial tumor,but it can show high invasiveness and recurrence rate,and the incidence rate is increasing year by year.Radiomics and deep learning are important research directions of artificial intelligence in the field of medical imaging.They are widely used in tumor imaging research,and play an important role in the heterogeneous diagnosis,efficacy evaluation,and prognosis prediction of pituitary adenomas.This article reviews the application and research progress of radiomics and deep learning in pituitary adenomas.