cervical cancer
Conditions
Interventions
Index test:Prediction 
model 
based 
on 
artificial 
intelligence 
technology 
natural 
language 
processing 
and 
intelligent 
image 
computing
Sponsors
Jinshan Hospital Affiliated to Fudan University
Eligibility
Sex/Gender
Female
Age
18 Years to 70 Years
Inclusion criteria
Inclusion criteria: 1) High risk HPV infection group: 500 patients, high-risk type of HPV DNA test, pathological examination showed no cervical intraepithelial neoplasia and cancer. 2) Cervical intraepithelial neoplasia group: 500 cases, the patients were pathologically confirmed as cervical intraepithelial neoplasia I-III. 3) Cervical cancer group: 600 FIGO IA stage patients, 1500 FIGO IB stage patients, 600 FIGO IIA1 stage patients and 600 patients with advanced cervical cancer (IIA2, IIB, IIIC) who can be resected by surgery. All patients with cervical cancer: 1. Pathological type, tumor volume, internal os involvement, lymph-vascluar invasion, stromal invasion, parauterine invasion and lymph node metastasis were confirmed by postoperative pathological results. 2. Radical hysterectomy combined with lymph node dissection was performed. 3. The patients underwent surgery within 30 days after standard MRI examination. Patients in above groups, 1. MRI scan should include the following sequences: T1 Weighted Imaging, T2 Weighted Fat Suppression Imaging, Diffusion Weighted Imaging, Apparent Diffusion Coefficient Map and Contrast-Enhanced T1 Weighted Imaging. 2. MRI scan was completed within 7 days before biopsy. 3. The clinicopathological information of all subjects was available.
Exclusion criteria
Exclusion criteria: 1. Preoperative adjuvant chemotherapy or radiotherapy. 2. Biopsy was performed before MRI scanning, and the interval between biopsy and MRI scanning was less than 7 days. 3. Poor imaging quality.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Area under curve;Sensitivity;Specificity;Accuracy; | — |
Countries
China
Contacts
Public ContactYongai Li
Jinshan Hospital Affiliated to Fudan University
Outcome results
None listed