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العنوان
The value of chemical shift MRI in detection and characterization of peritoneal lesions /
الناشر
Fifi Samy Aboserie Mahmoud ,
المؤلف
Fifi Samy Aboserie Mahmoud
هيئة الاعداد
باحث / Fifi Samy Aboserie Mahmoud
مشرف / Haney Ahmed Samy
مشرف / Sherihan Waheed Gareer
مشرف / Sherif Mohamed Mokhtar
تاريخ النشر
2021
عدد الصفحات
94 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الأشعة والطب النووي والتصوير
تاريخ الإجازة
1/1/2021
مكان الإجازة
جامعة القاهرة - كلية الطب - Department of Radio-Diagnosis
الفهرس
Only 14 pages are availabe for public view

from 96

from 96

Abstract

Purpose: To evaluate the signal characteristics of opposed phase imaging and signal intensity ratio in benign and malignant peritoneal lesions aiming at the possible differentiation of such entities by setting an optimal cut-off value. Material and Methods: Between March 2021 and October 2021, 32 patients diagnosed with peritoneal lesions (2 benign and 30 malignant) were assessed by conventional and chemical shift MR imaging. Chemical shift imaging was carried out by axial in-phase (repetition time (TR), 500 ms; echo time (TE), 4.6 ms; flip angle, 80{u00B0}) and opposed-phase (TR, 500 ms, TE, 4.6 ms, flip angle, 80{u00B0}).Areas that elicited pathological signal intensity on the T1 and T2 sequences were identified on the in-phase/opposed-phase sequences. A region of interest was made on the abnormal areas to measure their signal intensity on the in-phase as well as on the opposed-phase images.Signal intensity ratio (SIR) was calculated by dividing the opposed-phase signal intensity on the in-phase signal intensity. Results: 32 lesions were included (2 benign and 30 malignant).There was insignificant difference (P > 0.001 (0.169), independent t test) in the mean SIR for the benign lesions (mean, 0.75; SD, 0.28) compared with the malignant lesions (mean, 0.91; SD, 0.16). Conclusion: There is a statistically insignificant difference between SIR of malignant and benign peritoneal lesions and they cannot be used as an adjunct tool to other conventional MRI sequences to reach a correct diagnosis