Background Infertility is a global health issue and hysterosalpingography (HSG) is a valuable radiological tool in infertility workup and remains a main modality for investigating female infertility. However, the HSG findings of infertility are not the same worldwide. This study aimed at evaluating the incidence of HSG findings in patients investigated for primary and secondary infertility, correlating these findings with their clinical data that reflect the infertility causes and comparing the findings with previous international studies. Methods A prospective descriptive study of 75 female patients referred, as cases of infertility, for HSG examination in Elrebat Hospital and Khartoum Advanced Diagnostic Center. HSG was performed in the first half of the cycle. The procedure and its complications, were explained to the patients and informed consents were obtained. Patients with active pelvic infection and active uterine or vaginal bleeding were excluded from the study. Using aseptic technique and with proper patient’s positioning, iodinated contrast was introduced into the cervix under fluoroscopic monitoring, to demonstrate the uterine cavity, fallopian tubes and free spillage into the peritoneal cavity. Personal data, clinical data and HSG findings were analyzed using SPSS version 23. Results The commonest age group seen was 26–36 years. Close incidences of primary and secondary infertility were detected. 52.7% had abnormal findings in HSG. Tubal pathology (42.7%) being the most common abnormality, followed by uterine and combined abnormalities. There was strong association between past medical history suggesting pelvic inflammatory disease (PID) or past history suggesting tubal blockage secondary to abdominopelvic surgery and tubal abnormalities. Conclusion HSG examinations revealed that the most common abnormality was tubal blockage possibly complicating PID and abdominopelvic surgeries. This reflects the HSG diagnostic and therapeutic role in the assessment of female infertility and the further needs for more preventive measures targeting the reduction of tubal pathologies in developing countries.

Radiation is used in medicine to diagnose and treat diseases but it can also cause harm to the body by burning or mutation. This depends on whether the radiation is ionizing or nonionizing. Despite its vast applications in surgery, dermatology and cosmetics, little is taught and thus known about non-ionizing radiation. This review article discusses the fundamentals of non-ionizing electromagnetic radiations. The main aim is to extensively explain the different types of non-ionizing radiation. This will equip students and medical personnel with knowledge on different medical applications and expose them to a variety of specializations in medicine that utilize non-ionizing radiation. The article discusses the physics, hazard, means of protection and medical application of each type of radiation: ultraviolet radiation, light (both visible light and LASER), infrared radiation, microwaves and extremely low frequency radiation separately. It presents these terms in a simple manner that avoids rigors mathematics and physics, which makes them comprehensible for medical students. The development of new diagnostic and therapeutic approaches could also lead to increased hazards to the body unless they are treated with precaution. If not adequately monitored, a significant health risk may be posed to potentially exposed employees. Hence proper dosage should be used for non-ionizing radiation. This is only possible through understanding of the risks/benefits of these radiations by studying the physics and radiobiological effects of each individual radiation.

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Objectives Brain neoplasms or intracranial tumors, which are more common in older adults, can affect individuals of any age including pediatric and children. Exposure to carcinogenic agents including ionizing radiation and family history is one of the main causes of the disease. Early diagnosis is crucial to avoid prolonged. patients' suffering. The aim of the study was to efficiently recognize the brain tumors from the other brain tissues which include grey and white matter as well as cerebrospinal fluid (CSF). Materials and methods This study was performed using axial, sagittal and coronal views for fifty brain tumor patients randomly selected from a set of 200 patients, with a “control” set consisting of images showing no sign of disease; and the “test” brain MRI images for patients diagnosed with brain tumor. The study includes both genders with age ranging from 18 years to 83 years old, (56.5 ± 17.2). The brain images were acquired using a standard head coil Philips Intera 1.5 Tesla machine (USA). The thickness of each section in the entire sequence was 8 mm. Acquisition of T2-weighted and T1-weighted were performed. Interactive Data Language software was used to analyze the data. Results The results of this study showed that: the overall accuracy of classification process was 94.8%, and for the tumor; the sensitivity was 97.3%. White matter and grey matter showed a classification accuracy of 95.7% and 89.7% and for CSF the accuracy was 94.3%. Conclusion The results showed that brain tumor can be classified successfully and delineated using texture analysis with minimum efforts and with high accuracy for brain tumors.