The diagnosis of bone metastasis of prostate cancer (PC) is of great significance to the treatment and prognosis of patients with PC.Bone scan is the most commonly used in the early diagnosis of bone metastasis, but its specificity is low and there is a high false positive.In recent years, with the in-depth study of the application of CT, MRI, emission computed tomography (ECT), positron emission computed tomography/computed tomography (PET/CT) and deep learning algorithm-convolutional neural networks (CNN) in the diagnosis of bone metastasis, the combined application of various auxiliary parameters in the diagnosis of bone metastasis has significantly been improved. The therapeutic effect of PC patients with bone metastasis can also be evaluated, which is expected to achieve the treatment of bone metastasis as well as diagnosis. By systematically expounding the research progress of the above-mentioned techniques in the diagnosis of bone metastasis, it can provide clinicians with new methods for the diagnosis of bone metastasis and improve the diagnostic efficiency for bone metastasis.
前列腺癌(prostate cancer，PC)骨转移的诊断对PC患者的治疗以及预后有重要的意义。骨转移的早期诊断最常用的为骨扫描，但骨扫描的诊断特异性较低，存在较高的假阳性。近年来随着对CT、MRI、发射计算机断层显像(emission-computed tomography，ECT)、正电子发射计算机断层显像/计算机断层扫描(positron emission computed tomography/computed tomography，PET/CT)以及深度学习算法-卷积神经网络(convolutional neural networks，CNN)在骨转移诊断应用中的深入研究，各种辅助参数联合应用于骨转移的诊断，显著提高了对骨转移诊断的准确性，还可以对PC骨转移患者的治疗效果进行评估，有望在诊断的同时实现骨转移灶的治疗。.
Keywords: bone metastasis; diagnosis; prostate cancer.