基于多参数磁共振成像的影像组学在膀胱癌精准诊疗中的研究进展

Research progress on precise diagnosis and treatment of bladder cancer based on multiparameter MRI radiomics

膀胱癌(bladder cancer, BCa)发病率居全球泌尿系统恶性肿瘤前列,具有高复发率和高死亡率等特点,早期精准诊断BCa病理分级、淋巴结转移、肌层浸润对于治疗决策制订和疗效及预后评估具有重要作用。多参数磁共振成像(multiparameter magnetic resonance imaging, mpMRI)以其较高的软组织分辨率和结构功能多层次信息呈现,为BCa早期精准诊断提供了关键成像手段。近年来,随着影像组学智能诊断技术的发展,磁共振影像组学挖掘隐藏在多序列图像中的微观尺度信息,在肿瘤诊断、疗效评估、预后预测方面具有重要的临床应用价值。本文系统综述了mpMRI影像组学在BCa术前分级预测、淋巴结转移、肌层浸润和疗效及预后评估等方面的研究进展。

The incidence of bladder cancer(BCa) ranks among the forefront of urinary system malignancies in the world, with high recurrence rate and high mortality rate. Early and accurate diagnosis of pathological grade, lymph node metastasis and myometrial invasion of bladder cancer plays an important role in treatment decision making and prognosis evaluation of efficacy. Multiparameter magnetic resonance imaging(mpMRI)provides a key imaging method for early and accurate diagnosis of bladder cancer due to its high soft tissue resolution and multi-level information of structure and function.In recent years, with the development of intelligent diagnostic technology of radiomics, MRI radiomics has important clinical application value in tumor diagnosis, efficacy evaluation and prognosis prediction by mining micro-scale information hidden in multi-sequence images. This article provides a systematic review of the progress of mpMRI radiomics in preoperative grade prediction of bladder cancer, lymph node metastasis, myometrial invasion and prognosis evaluation of efficacy.