000			03021cam a2200349 a 4500
003			EG-GiCUC
005			20250223032608.0
008			201004s2020 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.11.31.M.Sc.2020.Mo.V
100	0		_aMohammed Mohsen Emam
245	1	4	_aThe value of chemical shift magnetic resonance imaging in characterization of bone tumors / _cMohammed Mohsen Emam ; Supervised Heba Ahmed Kamal Ali , Amr Farouk Ibrahim , Wessam Gamal Eldin Abosenna
246	1	5	_aقيمة الرنين المغناطيسى متضاد المراحل فى تقييم اورام العظام
260			_aCairo : _bMohammed Mohsen Emam , _c2020
300			_a138, (9) P. : _bcharts , facimiles ; _c25cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Medicine - Department of Radio-Diagnosis
520			_aPurpose: To evaluate the signal characteristics of opposed phase imaging and signal intensity ratio in benign and malignant bone tumors and tumor like lesions aiming at the possible differentiation of such entities by setting an optimal cut-off value.Material and Methods: Between July 2019 and March 2020 49 patients diagnosed with 14 bone tumors and tumor like conditions (10 benign and 4 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, 4.6ms, 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 calculatedby dividing the opposed-phase signal intensity on the in-phase signal intensity.Results: 49 lesions were included (29 benign and 20 malignant).There was a significant difference (P < 0.001, independent t test) in the mean SIR for the benign lesions (mean, 0.59; SD, 0.28) compared with the malignant lesions (mean, 0.99; SD, 0.08). ROC analysis yielded optimal cut off values at > 0.93 correctly diagnosing 19 out of 20 malignant lesions and 25 out of 29 benign lesions(sensitivity, 94.7%; specificity, 86.6%), area under the curve (AUC, 0.888), (positive predictive value, 81.8%), (negative predictive value, 96.3%) and (95% confidence interval, 0.765 - 0.960)
530			_aIssued also as CD
653		4	_aBoneTumors
653		4	_aChemical shift imaging (CSI)
653		4	_aMagnetic resonance imaging (MRI)
700	0		_aAmr Farouk Ibrahim , _eSupervisor
700	0		_aHeba Ahmed Kamal Ali , _eSupervisor
700	0		_aWessam Gamal Eldin Abosenna , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aShimaa _eCataloger
942			_2ddc _cTH
999			_c78065 _d78065