国际医药卫生导报 ›› 2025, Vol. 31 ›› Issue (5): 757-760.DOI: 10.3760/cma.j.cn441417-20240926-05011

• 医学新进展 • 上一篇    下一篇

基于磁共振成像的影像组学在垂体腺瘤中的应用现状及进展

莫家婵  范万峰  姜兴岳   

  1. 滨州医学院附属医院放射科,滨州 256600

  • 收稿日期:2024-09-26 出版日期:2025-03-01 发布日期:2025-03-14
  • 通讯作者: 姜兴岳,Email:xying188@sina.com
  • 基金资助:

    山东省自然科学基金(ZR2023MH033)

Application status and progress of MRI based radiomics in pituitary adenoma

Mo Jiachan, Fan Wanfeng, Jiang Xingyue   

  1. Department of Radiology, Binzhou Medical University Hospital, Binzhou 256600, China

  • Received:2024-09-26 Online:2025-03-01 Published:2025-03-14
  • Contact: Jiang Xingyue, Email: xying188@sina.com
  • Supported by:

    Natural Science Foundation of Shandong Province (ZR2023MH033)

摘要:

影像组学是一种从医学图像中[电子计算机断层扫描(CT)、磁共振成像(MRI)、正电子发射计算机断层显像(PET-CT)等]高通量挖掘定量特征工具,在垂体腺瘤(PA)研究中的应用价值较高。从垂体MRI图像中提取的影像组学特征可为PA诊疗提供信息,如预测术后肿瘤复发、肿瘤侵袭性、肿瘤质地、手术切除率、药物治疗反应、术后并发症、术前肿瘤亚型等。本文综述基于MRI的影像组学预测PA术后复发、侵袭性和质地的应用现状及进展。

关键词:

垂体腺瘤, 影像组学, 磁共振成像, 复发, 侵袭性, 质地, 进展

Abstract:

Radiomics is a tool for high-throughput mining of quantitative features from medical images such as computed tomography (CT), magnetic resonance imaging (MRI), and positron emission computed tomography (PET-CT). It has become increasingly valuable in the study of pituitary adenoma (PA). The radiomic features extracted from pituitary MRI can provide relevant information for PA diagnosis and treatment. For example, there are relevant reports on predicting postoperative tumor recurrence, tumor invasiveness, tumor texture, surgical resection rate, drug treatment response, postoperative complications, and preoperative tumor subtypes. This article mainly reviews the application status and progress of radiomics based on MRI images in predicting postoperative tumor recurrence, tumor invasiveness, and tumor texture in PA patients.

Key words:

Pituitary adenoma, Radiomics, Magnetic resonance imaging, Recurrence, Invasiveness, Texture, Progress