Development of a Machine Learning-based Model for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma
Trial Snapshot
- Phase
- Not Applicable
- Sponsor
- Enrollment
- 40
- Locations
- 1
- Primary Endpoint
- Presence of microvascular invasion
Study Overview
Brief Summary
Microvascular invasion (MVI) has been well demonstrated as an unfavorable prognostic factor for hepatocellular carcinoma (HCC), and patients with MVI have a high risk of tumor recurrence after curative hepatectomy. Currently, the diagnosis of MVI is determined on the postoperative histologic examination, which greatly limits its influence on preoperative decision making. Therefore, we constructed this prospective study to develop a machine learning-based model for preoperative prediction of MVI by extracting high-dimensional magnetic resonance (MR) image features.
Detailed Description
Histologically-diagnosed primary HCC after curative hepatectomy. The magnetic resonance image will be imported into the imaging management software (GE healthcare Analysis-Kit software),and the tumor lesions will manually delineated by two independent radiologists and then reconstruct into three-dimensional images for feature extraction. The radiomic textural features including grayscale histogram, transform matrix, wavelet transform and filter transformation are automatically extracted by the Analysis-Kit software.The high-throughput extracted features will be then selected by the univariate analysis, and a prediction model will be developed based on machine learning algorithm in a training set in which patients were collected from a retrospective study. And in the present study, an independent validation set will be collected and used to validate the prediction accuracy of the model.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Eligibility Criteria
- Ages
- 18 Years to 80 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Asian patients aged 18～80 years old;
- •HCC without macroscopic vascular invasion according to imaging findings;
- •Child Pugh A-B stage;
- •Receipt of preoperative Gd-EOB-DTPA enhanced MR imaging of the abdomen within one month before surgery;
- •Histologically-diagnosed primary HCC after curative hepatectomy;
Exclusion Criteria
- •Combined hepatocellular-cholangiocarcinoma;
- •With extra-hepatic metastasis or macrovascular invasion;
- •With incomplete clinical and imaging data;
- •Non-radical resection;
Outcomes
Primary Outcomes
Presence of microvascular invasion
Time Frame: Through patient enrollment completion ,an average of 2 years
Postoperative histologically confirmed microvascular invasion
Secondary Outcomes
No secondary outcomes reported
Investigators
Ming Kuang
Professor
Sun Yat-sen University