The assessment of prostate cancer by magnetic resonance imaging by comparing the 2D T2W And 3D T2 W


Author(s): Tamara Hussein Abbas*, Ruwaidah Abdualameer Mussttaf and Hussein Hasan Nsaif

Background: The prostate imaging applications, it would be particularly exciting to be able to create 3D T2-weighted MRI using SPACE. Reconstructing T2 weighted images in all three planes following the expedited capture of a single volumetric data set with the SPACE sequence may allow for significant time savings. The SPACE sequence must retain sufficient T2 contrast for the SPACE approach to be practical in a clinical context. To our knowledge, no one has previously discussed the benefits of using the SPACE sequence to detect prostate cancer. Patient and Methods: Cross-sectional Study design, the patients with prostate cancer adults aged 40 years-80 years who diagnosed by (histopathologist) and forwarded for further investigation such as MR. The device used is MRI Siemens in Oncology Teaching Hospital, Baghdad medical city. The scanning protocols was acquired such as T1W, T2W, and FLAIR. The T2W was scanned in two ways, 3D and 2D.

Result: The prostate cancerous patient’s demography was illustrated in our result. The mean age of patients was 66.2 years ± 13.28 years ranging from 31 years to 80 years. The weight of patients was 75.1 kg ± 7.07 kg. The Body Mass Index (BMI) was 24.8 Kg/m2 ± 3.21 Kg/m2. The comparison of the magnetic parameters of 2D and 3D of T2W images were presented in our result.

Conclusion: According to the results of our study, 3D T2 weighted acquisition for prostate imaging offers comparable tumor detection and staging performance to multiplanar conventional 2D TSE T2- weighted sequences, equivalent image quality and better relative tumor contrast than 2D TSE T2-weighted imaging.

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Awards Nomination

Editors List

  • Prof. Elhadi Miskeen

    Obstetrics and Gynaecology Faculty of Medicine, University of Bisha, Saudi Arabia

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh




  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis


  • Fava Maria Giovanna


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