Imaging advances in efficacy assessment of gastric cancer neoadjuvant chemotherapy

被引:2
|
作者
Deng, Juan [1 ,2 ,3 ,4 ]
Zhang, Wenjuan [1 ,2 ,3 ,4 ]
Xu, Min [1 ,2 ,3 ,4 ]
Zhou, Junlin [1 ,2 ,3 ,4 ]
机构
[1] Lanzhou Univ, Hosp 2, Dept Radiol, Lanzhou 730030, Peoples R China
[2] Lanzhou Univ, Clin Sch 2, Lanzhou 730030, Peoples R China
[3] Key Lab Med Imaging Gansu Prov, Lanzhou 730030, Peoples R China
[4] Gansu Int Scientifif & Technol Cooperat Base Med I, Lanzhou 730030, Peoples R China
基金
中国国家自然科学基金;
关键词
Gastric cancer; Neoadjuvant chemotherapy; Imaging; Efficacy assessment; PREDICTING PATHOLOGICAL RESPONSE; COMPUTED-TOMOGRAPHY; TUMOR-REGRESSION; CT PERFUSION; PERIOPERATIVE CHEMOTHERAPY; ENDOSCOPIC ULTRASOUND; DIFFUSION; PROGNOSIS; IODINE; THERAPY;
D O I
10.1007/s00261-023-04046-1
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Effective neoadjuvant chemotherapy (NAC) can improve the survival of patients with locally progressive gastric cancer, but chemotherapeutics do not always exhibit good efficacy in all patients. Therefore, accurate preoperative evaluation of the effect of neoadjuvant therapy and the appropriate selection of surgery time to minimize toxicity and complications while prolonging patient survival are key issues that need to be addressed. This paper reviews the role of three imaging methods, morphological, functional, radiomics, and artificial intelligence (AI)-based imaging, in evaluating NAC pathological reactions for gastric cancer. In addition, the advantages and disadvantages of each method and the future application prospects are discussed.
引用
收藏
页码:3661 / 3676
页数:16
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