Imaging advances in efficacy assessment of gastric cancer neoadjuvant chemotherapy.
Juan DengWenjuan ZhangMin XuJunlin ZhouPublished in: Abdominal radiology (New York) (2023)
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.
Keyphrases
- neoadjuvant chemotherapy
- artificial intelligence
- locally advanced
- high resolution
- lymph node
- sentinel lymph node
- rectal cancer
- machine learning
- transcription factor
- end stage renal disease
- deep learning
- squamous cell carcinoma
- minimally invasive
- radiation therapy
- newly diagnosed
- chronic kidney disease
- multiple sclerosis
- acute coronary syndrome
- current status
- oxidative stress
- randomized controlled trial
- case report
- magnetic resonance
- photodynamic therapy
- atrial fibrillation
- peritoneal dialysis
- contrast enhanced
- mesenchymal stem cells