To evaluate if CT features at diagnosis in patients with HGSOC can be used to build an Artificial Intelligence model capable of discerning the pathological involvement of the mesentery, assessing the potential impediments for an optimal debulking surgery and predicting the development of resistance to platinum based chemotherapeutic agents.
Study Type
OBSERVATIONAL
Enrollment
510
Computed Tomography done according to Clinical Practice to assess mesenteric involvment
Advanced Radiology Center
Roma, Italy
RECRUITINGPreoperative Artificial Intelligence assisted CT-based evaluation
Preoperative Artificial Intelligence assisted CT-based prediction of patients with suboptimal debulking at surgery due to diffuse mesenteric disease or mesenteric retraction.
Time frame: 1 year
Evaluation of the Radiologist Assessment of the CT
Identification of mesenteric infiltration from CT images using Artificial Intelligence at a comparable performance with human/radiologist assessment.
Time frame: 1 year
Prediction of Platinum Resistance
AI-assisted CT-based prediction of patients who will develop platinum resistance
Time frame: 1 year
Prediction of Progression Free Survival (PFS) and Overall Survival (OS)
Prediction of Progression Free Survival (PFS) and Overall Survival (OS) with Artificial Intelligence
Time frame: 2 years
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.