| 符靖孜,叶洁仪,黄伟俊.超声及人工智能用于诊断和治疗慢性肾脏病研究进展[J].中国医学影像技术,2025,41(12):2082~2085 |
| 超声及人工智能用于诊断和治疗慢性肾脏病研究进展 |
| Research progresses of ultrasound and artificial intelligence for diagnosing and treating chronic kidney disease |
| 投稿时间：2025-05-06 修订日期：2025-10-24 |
| DOI：10.13929/j.issn.1003-3289.2025.12.032 |
| 中文关键词: 肾功能不全,慢性 超声检查 人工智能 |
| 英文关键词:renal insufficiency, chronic ultrasonography artificial intelligence |
| 基金项目: |
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| 中文摘要: |
| 慢性肾脏病(CKD)为全球重大公共卫生问题,造成沉重疾病负担。肾穿刺活检是明确CKD病理分型及评估肾损伤程度的金标准,但有创,且存在出血风险。近年来,超声与人工智能(AI)技术相结合,为无创诊疗CKD提供了新的途径。本文就超声弹性成像、超声造影及超声AI模型用于早期识别及监测CKD、预测其病理分型及评估疗效中的研究进展进行综述。 |
| 英文摘要: |
| As a major global public health issue, chronic kidney disease (CKD) brought a substantial disease burden. Percutaneous renal biopsy is the gold standard for pathological classification of CKD and evaluating the degree of kidney damage, which is also invasive with bleeding risk. In recent years, ultrasound and artificial intelligence (AI) provided new avenues for non-invasive diagnosis and treatment of CKD. The research progresses of ultrasound elastography, contrast-enhanced ultrasound and ultrasonic AI models in early identification and monitoring CKD, as well as pathological classification and efficacy evaluation were reviewed in this article. |
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