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Related Concept Videos

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

219
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
219
Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

272
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
272
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

280
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
280

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Related Experiment Video

Updated: Jan 13, 2026

Magnetic Resonance Imaging Assessment of Carcinogen-induced Murine Bladder Tumors
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Radiomics-Based Preoperative Assessment of Muscle-Invasive Bladder Cancer Using Combined T2 and ADC MRI: A

Dmitry Kabanov1, Natalia Rubtsova1, Aleksandra Golbits2

  • 1Department of Computed Tomography and Magnetic Resonance Imaging, P. Hertsen Moscow Oncology Research Institute (MORI), 125284 Moscow, Russia.

Journal of Imaging
|October 28, 2025
PubMed
Summary
This summary is machine-generated.

Multiparametric MRI (mpMRI) radiomics accurately predicts bladder cancer muscle invasion. This approach combines T2-weighted imaging and ADC map features for improved diagnostic accuracy.

Keywords:
LifeXMIBCMRIbladder cancermuscle invasionradiomicsstagingtexture analysis

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Accurate preoperative staging of bladder cancer is crucial for treatment planning.
  • Visual interpretation of MRI for bladder cancer staging can be subjective and vary between observers.
  • Multiparametric MRI (mpMRI) offers detailed tissue characterization, but its radiomic analysis for muscle invasion prediction requires further investigation.

Purpose of the Study:

  • To develop and validate a radiomics approach using mpMRI to predict muscle invasion (≥T2) in bladder cancer.
  • To assess the diagnostic performance of a combined T2-weighted imaging and diffusion-weighted imaging (DWI)-derived apparent diffusion coefficient (ADC) map radiomics model.
  • To evaluate the potential of radiomics as a decision support tool for bladder cancer staging.

Main Methods:

  • Eighty-four patients with urothelial carcinoma underwent 1.5-T mpMRI, including T2-weighted imaging and DWI-derived ADC maps.
  • Radiomics features were extracted from 3D tumor segmentations using LifeX software.
  • A radiomics descriptor combining features from T2 and ADC maps was developed in a training cohort and prospectively validated.

Main Results:

  • The combined T2/ADC radiomics descriptor achieved an Area Under the Curve (AUC) of 0.934 in the training cohort and 0.871 in the validation cohort.
  • In the validation cohort, the model demonstrated 85.7% sensitivity and 96.2% specificity for predicting muscle invasion.
  • Specific radiomics features from T2-weighted imaging and ADC maps were identified as predictive of muscle invasion, while DWI texture features were not informative.

Conclusions:

  • A combined T2/ADC radiomics approach using mpMRI can accurately predict muscle invasion in bladder cancer.
  • This radiomics model shows high diagnostic performance and may serve as a valuable decision support tool for clinicians.
  • Further multicenter, multi-vendor validation is recommended to confirm these findings and facilitate clinical implementation.