ABSTRACT
The integration of artificial intelligence into the medical field is developing rapidly and has achieved ground-breaking advances in the diagnosis, treatment, and efficacy evaluation of imaging medicine. This article reviews the research advances in artificial intelligence in imaging diagnosis of hepatocellular carcinoma and its performance in evaluating treatment outcome and predicting prognosis in combination with clinical features and looks forward to how artificial intelligence can be better used in the practice of hepatocellular carcinoma imaging in the era of growing clinical needs and rapid advances in diagnosis and treatment techniques.
ABSTRACT
Objective To explore the application value of neoadjuvant chemotherapy (NACT) in treating cervical carcinoma. Methods Seventy-one cervical carcinoma patients who were divided into three groups:PF group (cisplatin and fluorouracil,23 cases) or CBP group (carboplatin,bleomycetin and cyclophosphamide, 24 cases) or TP group (paclitaxel and cisplatin, 24 cases); operation was made 14 - 21 days afterwards. The therapeutic effect, chemotherapy side-effect and the effect on operation and pathology for these three groups were analyzed and compared. Results The effective rate was 93.8%(30/32),88.6% (31/35),82.4%(28/34) in TP group,CBP group,PF group,respectively. However, the therapeutic effect had no statistics significance with age, preoperative tumor grade, pathologic type for all the three groups, the therapeutic effect had statistical significance with clinical stage. The rate which pathological examination showed no residual cancer was biggest in CBP group [CBP group was 28.6%(6/21), TP group was 4.3% (1/23), PF group was 11.8%(2/17), P < 0.05 ]. Conclusions Three NACT projects are safe and effective treatment for cervical cancer. However,each project has advantages. The NACT projects can be elected for different patient according to his illness and economy.