基于放射组学的泌乳素腺瘤和生长激素腺瘤分类研究

Classification of Prolactin Adenoma and Growth Hormone Adenoma Based onRadiomics

泌乳素细胞和生长激素细胞是腺垂体祖细胞的同一种转录因子PIT-1分化而成,但是泌乳素腺瘤和生长激素腺瘤在治疗方法上有较大的差异,对两种肿瘤的正确分类在医学上有较大的价值。通过影像组学从两种肿瘤的MRI图像中提取出大量的影像特征,然后利用提取出的影像特征训练分类模型,测试结果表明训练出的机器学习模型在医学上有较高的实用价值。

Prolactin cells and growth hormone cells are differentiated from PIT-1,the same transcription factor of adenohypophysial progenitor cells.However,there is a great difference in the treatment of prolactin adenoma and growth hormone adenoma,the correct classification of the two tumors is of great medical value.A large number of imaging features were extracted from MRI images of the two tumors by radiomics,use these extracted image features to train a classification model.The test results show that the trained machine learning model has high practical value in medicine.