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All Journal Indian Journal of Forensic Medicine & Toxicology
Mahmood Radhi Jobayr
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Public Health

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The Technical Value of Magnetic Resonance Imaging and Ultrasonography in Identifying Characterization of Ovarian Cysts Ali Hani Karim; Mahmood Radhi Jobayr; Lamyaa F.A. Al-Barram
Indian Journal of Forensic Medicine & Toxicology Vol. 15 No. 4 (2021): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v15i4.16721

Abstract

An accurate diagnosis of ovarian cysts is of utmost importance to determine the timely treatment to preservefertility.We sought to determine the effectiveness of ultrasonography and MRI modalities for diagnosing themost common ovarian lesions and differentiate between benign and malignant lesions in order to guidepatients to appropriate treatment. This study was conducted on 94 women, the age group between 14-70years, in the period of January 2020 to October 2021. Were all women suffering from abdominal pain,swelling, nausea or vomiting and bleeding and irregular menstrual cycle. Was suspected clinically in thepresence of lesions in the ovary was confirmed by tests of ultrasound and magnetic resonance. The entirecases were subjected to transvaginal and transabdominal ultrasound and magnetic resonance imagingto assess ovarian lesions in terms of content (somatic, cystic solid), nodules, septal characteristics, wallthickness, vascular lesion and ascites.In USG, there were 16% cases of malignant ovarian lesion and 84%cases had benign lesions. MRI reports showed that 10.6% cases had malignant ovarian lesions and 89.4%cases had benign lesions. Findings of USG with HPE have 100.0% sensitivity, 89.1% specificity and 91.07%diagnostic accuracy. In MRI findings with HPE have 100.0% sensitivity, 100% specificity, and 100.0%diagnostic accuracy. MRI had high specificity and more accuracy value in terms of diagnostic performancethan USG. The ultrasonography diagnostic value in case of characterization of adnexal mass lesion wassignificantly lower than in the MRI.
A Protocol of Low Dose Chest CT to Verify Suspected COVID -19 infection Muthana Hussien Mohan; Mahmood Radhi Jobayr; Salam Mohmad Joori
Indian Journal of Forensic Medicine & Toxicology Vol. 15 No. 4 (2021): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v15i4.16986

Abstract

Chest CT scanning is significant in verifying COVID-19 infection in patients with clinical symptoms,although CT scanning uses ionizing radiation. So we aim to investigate the demonstration of relevance andaccuracy of chest tomography using a low-dose protocol compared to the standard auto-modulation protocolof 50 – 210 mAs. Moreover, to assess whether any distinguishing signs in patients might help determinethe severity of the respiratory infection from COVID-19. A standard auto-modulation protocol of 50 – 210mAs was performed for all patients (120 patients), Rotation time 0.5 second. Of the 120 patients whoseCT scan showed signs of COVID-19 infection, 47 patients aged over 50 years were selected. Low doseCT scanning (30 mAs) was performed on these patients immediately. Of the 120 patients over the age of50 with COVID-19 according to a PCR underwent a CT chest, only 47 showed signs of COVID-19.Whencompared to standard-dose, low-dose demonstrated excellent sensitivity in detecting typical findings ofCOVID-19 (coefficient of significance (C.S) = 0.98–0.99, P-values < 0.05 one reader and P-values < 0.01two readers). The mean effective dose values were 6.32±2.82 and 1.45±0.29mSvin the stander and lowdose,respectively.A low dose protocol can be used with high reliability and accuracy to reduce the ionizingradiation risks in the state of reproducible assessment. On the other hand, we emphasize there are indicatorswith high reliability of a relationship between infection with COVID-19 and its severity and the work nature,environment, age, body mass index (BMI) and Patient Health Status.
Co-Authors Ali Hani Karim Lamyaa F.A. Al-Barram Muthana Hussien Mohan Salam Mohmad Joori