H. Lee Moffitt Cancer Center and Research Institute
United States of America
Dr. Latifi is an Assistant Member of the Department of Radiation Oncology and Department of Cancer Imaging and Metabolism at Moffitt Cancer Center. He specializes in imaging applications for radiation oncology. Dr. Latifi’s clinical focus is the application of advanced imaging techniques and software solutions to improve patient care and clinical workflow in radiation therapy.
His research has been on the development and evaluation of algorithms for calculating lung ventilation using 4D CT, thus taking into account the challenges afforded by respiratory motion in precise targeting of radiation. The goal is to develop robust and practical methods to segregate functional from non-functional lung areas in the patients with thoracic malignancies, and to deliver radiation therapy that preferentially spares functional lung. Recently, his focus has been on the investigation and development of quantitative imaging biomarkers (radiomics) from CT and PET/CT to predict treatment outcomes for patients treated with radiation.
Oliver JA, Venkat P, Frakes JM, Klapman J, Harris C, et al. (2017) Fiducial markers coupled with 3D PET/CT offer more accurate radiation treatment delivery for locally advanced esophageal cancer. Endosc Int Open 5:E496-E504.
Shafiq-Ul-Hassan M, Zhang GG, Latifi K, Ullah G, Hunt DC, et al. (2017) Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels. Med Phys 44:1050-1062.
Oliver JA, Budzevich M, Hunt D, Moros EG, Latifi K, et al. (2017) Sensitivity of Image Features to Noise in Conventional and Respiratory-Gated PET/CT Images of Lung Cancer: Uncorrelated Noise Effects. Technol Cancer Res Treat. 16:595-608.