AI-Based Imaging Model for Bladder Cancer Prediction

Overview

Bladder cancer is the ninth most common malignant tumor worldwide, characterized by high malignancy and poor prognosis. We intend to develop a CT-based tumor budding predictive model for bladder cancer using deep learning algorithms. This model will facilitate preoperative assessment of patient conditions, enabling the formulation of more precise and personalized treatment plans.

Eligibility

Inclusion Criteria:

1. Bladder cancer patients treated from January 1, 2014, to January 1, 2023;
2. Hospitalized and underwent transurethral resection of bladder tumor (TURBT) or radical cystectomy;
3. Complete clinical, preoperative CT, and pathological data.

Exclusion Criteria:

1. Patients who previously underwent surgical treatment for bladder cancer at other centers, making it difficult to obtain their preoperative data;
2. Patients with other concurrent pelvic or urinary system malignancies;
3. Patients with poor quality, low resolution, or faded CT or pathological images.