Intravoxel incoherent motion and diffusion kurtosis imaging and their machine-learning-based texture analysis for detection and assessment of prostate cancer severity at 3 T.

Journal: NMR in biomedicine
Published Date:

Abstract

OBJECTIVES: To evaluate the role of combined intravoxel incoherent motion and diffusion kurtosis imaging (IVIM-DKI) and their machine-learning-based texture analysis for the detection and assessment of severity in prostate cancer (PCa).

Authors

  • Chandan J Das
    Department of Radio-Diagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
  • Archana Vadiraj Malagi
    Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
  • Raju Sharma
    Department of Radio-Diagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India.
  • Amit Mehndiratta
  • Virendra Kumar
    Department of Nuclear Magnetic Resonance, All India Institute of Medical Sciences, New Delhi, India. Electronic address: virendrakumar@aiims.edu.
  • Maroof A Khan
    Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India.
  • Amlesh Seth
    Department of Urology, All India Institute of Medical Sciences, New Delhi, India.
  • Seema Kaushal
    Department of Pathology, All India Institute of Medical Sciences, New Delhi, India.
  • Baibaswata Nayak
    Department of Gastroenterology (Molecular Biology Division), All India Institute of Medical Sciences, New Delhi, India.
  • Rakesh Kumar
    Department of Civil Engineering, National Institute of Technology Patna, India.
  • Arun Kumar Gupta
    All India Institute of Medical Sciences, Ansari Nagar New Delhi, 110029, India.