Prostate cancer is the commonest male cancer and the second leading cause of cancer-related death in men. Over many decades, prostate cancer detection represented a continuous challenge to urologists. Although all urologists and pathologists agree that tissue diagnosis is essential especially before commencing active surgical or radiation treatment, the best way to obtain the biopsy was always the big hurdle. The heterogenicity of the tumor pathology is very well seen in its radiological appearance. Ultrasound has been proven to be of limited sensitivity and specificity in detecting prostate cancer. However, it was the only available targeting technique for years and was used to guide biopsy needle passed transrectally or transperineally. Magnetic Resonance Imaging (MRI) has revolutionized the process with the advent of its multiparametric imaging (mp MRI) where the prostate is evaluated by different MRI techniques and the likelihood of the detected lesion is scored using the new prostate imaging-reporting and data system (PIRADS) scoring. Despite the improved detection of clinically significant prostate cancer by mpMRI, the ideal way to target the area of suspicion detected by mpMRI is the next level of challenge. In this review article, we will discuss the recent methods of targeting and focus on the different platforms used to integrate the mpMRI static images with the real-time US scanning in what is called (US-MRI fusion techniques).
Image Fusion is being used to gather important data from such an input image array and to place it in a single output picture to make it much more meaningful & usable than either of the input images. Image fusion boosts the quality and application of data. The accuracy of the image that has fused depending on the application. It is widely used in smart robotics, audio camera fusion, photonics, system control and output, construction and inspection of electronic circuits, complex computer, software diagnostics, also smart line assembling robots. In this paper provides a literature review of different image fusion techniques in the spatial domain and frequency domain, such as averaging, min-max, block substitution, Intensity-Hue-Saturation(IH
... Show MoreThis study includes 15 male healthy and 30 male patients diagnosed with prostate
cancer inciude (18 cases in stages I & II and 12 cases in III – stage). All the patients
were suffered from urinary tract infection ( UTI) . The mean age is (57.33± 5.02)
years range ( 45-63) years, as cases and controls Patients with prostate cancer were
treated admits an Educational Baghdad Hospital, and Central Public Health
Laboratory and Radiation and Nuclear Medicine Hospital in Baghdad, during
period 1/6/2008 to 1/12/2010 are included in this study. The markers Prostatespecific
antigen (CA PSA), Interleukins ( IL -1 , IL-2, IL-3, IL-5) and
Immunoglobulins ( IgG, IgM, IgE) are estimated by using ELISA method. The
Cl
Background: clinically significant macular edema (CSME) is the commonest cause of visual loss in patients with diabetes mellitus and laser focal photocoagulation is the golden standard for treating it. Patients and Methods: A frequency doubled Nd: YAG laser was used to treat all eyes included in this study with diabetic maculopathy. Thirty eyes of three insulin dependent and twenty six non insulin dependent diabetic Iraqi patients were included. The study involved twenty six males, three females and followed for one year. Their ages were ranging between 36- 59 years, all of them from patients attending ophthalmic out-patient department in the medical city in the period between January 2005 and June 2006
... Show MoreBackground :
Colorectal cancer (CRC) is the 4th common gastrointestinal cancer. (BRAFV600E) is a member of RAF family of serine/threonine protein kinases that function to regulate the (MAPK) / (ERK) pathway. BRAFV600E mutated CRC are associated with right-sided primary tumors, older women and high-grade tumors.
Aims of the study:
Study the immunohistochemical expression of BRAFV600E biomarker in a sample of Iraqi patients with colorectal cancer and the correlation of BRAFV600E expression with other clinicopathological variables such as patient's age and tumor gra
... Show MoreBackground: clinically significant macular edema (CSME) is the commonest cause of visual loss in patients with diabetes mellitus and laser focal photocoagulation is the golden standard for treating it. Patients and Methods: A frequency doubled Nd: YAG laser was used to treat all eyes included in this study with diabetic maculopathy. Thirty eyes of three insulin dependent and twenty six non insulin dependent diabetic Iraqi patients were included. The study involved twenty six males, three females and followed for one year. Their ages were ranging between 36- 59 years, all of them from patients attending ophthalmic out-patient department in the medical city in the period between January 2005 and June 2006. Eyes divided in to two groups (fifte
... Show Moreدور اللوبي الصهيوني في صنع السياسة الأمريكية
One hundred specimens (urine and sputum) were collected in sterilized containers from patients attending two hospitals in Baghdad province including: Educational Al-Karama Hospital and Educational Al-Yarmouk Hospital, in which, thirty-eight K. pneumoniae isolate were obtained out of one hundred specimens, all of which are of urine origin. The results obtained in this study showed that Klebsiella pneumoniae isolates were highly resistant to Augmentine (94.7%), also Klebsiella isolates were resistant to Ceftriaxone (86.8%), Cefotaxime (81.5%), and Ceftazidime (65.7%). Very low level of resistance was found toward Imipenem and Meropenem (18.4% and 5.2%) respectively. Only four isolates (10.52 %) were positive for wzy gene; K19, K20, K21, an
... Show MoreIn this work, watershed transform method was implemented to detect and extract tumors and abnormalities in MRI brain skull stripped images. An adaptive technique has been proposed to improve the performance of this method.Watershed transform algorithm based on clustering techniques: K-Means and FCM were implemented to reduce the oversegmentation problem. The K-Means and FCM clustered images were utilized as input images to the watershed algorithm as well as of the original image. The relative surface area of the extracted tumor region was calculated for each application. The results showed that watershed trnsform algorithm succeedeed to detect and extract the brain tumor regions very well according to the consult of a specialist doctor a
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