A New Approach to Predict the Histological Variants of Bladder Urothelial Carcinoma: Machine Learning-Based Radiomics Analysis

CT-based radiomics to predict muscle invasion in bladder cancer

(2022) Gumuyang Zhang et al.   EUROPEAN RADIOLOGY

T1 bladder carcinoma with variant histology: pathological features and clinical significance

(2022) Antonio Lopez-Beltran et al.   VIRCHOWS ARCHIV

Bladder Urothelial Carcinoma: Machine Learning-based Computed Tomography Radiomics for Prediction of Histological Variant

(2022) Sehnaz Evrimler et al.   ACADEMIC RADIOLOGY

CT-based radiomics for the preoperative prediction of the muscle-invasive status of bladder cancer and comparison to radiologists' assessment

(2022) Y. Cui et al.   CLINICAL RADIOLOGY

Feasibility Study on Predicting Recurrence Risk of Bladder Cancer Based on Radiomics Features of Multiphase CT Images

(2022) Jing Qian et al.   Frontiers in Oncology

Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study

(2020) Huanjun Wang et al.   EUROPEAN RADIOLOGY

What Is the Significance of Variant Histology in Urothelial Carcinoma?

(2019) Niyati Lobo et al.   European Urology Focus

Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging

(2017) Xi Zhang et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

The 2016 WHO Classification of Tumours of the Urinary System and Male Genital Organs—Part B: Prostate and Bladder Tumours

(2016) Peter A. Humphrey et al.   EUROPEAN UROLOGY

Concordance and Clinical Significance of Uncommon Variants of Bladder Urothelial Carcinoma in Transurethral Resection and Radical Cystectomy Specimens

(2014) Tommaso Cai et al.   UROLOGY