header
Image from OpenLibrary

Role of MR diffusion weighted imaging in characterization of sinonasal lesions / Mostafa Mohamed Ahmed Elkhashab ; Supervised Ramy Edward Assad , Ayda Aly Youssef , Talaat Ahmed Hassan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mostafa Mohamed Ahmed Elkhashab , 2018Description: 190 P. : facsimiles ; 25cmOther title:
  • دورالرنين المغناطيسى بالانتشار الجزيئى فى تحديد خصائص كتل الأنف و الجيوب الانفيه [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Medicine - Department of Radio-diagnosis Summary: Background: Differentiating benign from malignant sinonsal lesions is essential for treatment planning as well as determining the patient{u2019}s prognosis, but such differentiation is often difficult. In our study we aim to evaluate the role of diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) in characterizing sinonasal lesions. Materials and methods: A perspective study including 75 treatment naive patients (36 benign and 39 malignant) underwent magnetic resonance imaging (MRI), including DWI using b-values of 500 and 1000 s/mm2. Freehand regions of interest along the margins of the lesions were manually placed onto the ADC maps then average ADCs of the whole lesions were determined. Receiver operating characteristic (ROC) curve was drawn to determine a cut-off ADC value for the differentiation between benign and malignant masses. Results: The mean ADC value for malignant lesions (0.67x10-3 mm2/sec) were significantly lower than the mean ADC value for benign lesions (1.25x10-3mm2/sec) (P <0.0001). When a cut-off ADC value 0.995 {u00D7}10-3 mm2/sec was used, sensitivity and specificity were 92.3%, 77.8% respectively with 81.8% positive predictive value and 90.3% negative predicative value, which was statistically significant. ADCs also effectively discriminated lymphomas from other malignant tumors
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.11.31.Ph.D.2018.Mo.R (Browse shelf(Opens below)) Not for loan 01010110077887000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.11.31.Ph.D.2018.Mo.R (Browse shelf(Opens below)) 77887.CD Not for loan 01020110077887000

Thesis (Ph.D.) - Cairo University - Faculty of Medicine - Department of Radio-diagnosis

Background: Differentiating benign from malignant sinonsal lesions is essential for treatment planning as well as determining the patient{u2019}s prognosis, but such differentiation is often difficult. In our study we aim to evaluate the role of diffusion weighted imaging (DWI) and apparent diffusion coefficient (ADC) in characterizing sinonasal lesions. Materials and methods: A perspective study including 75 treatment naive patients (36 benign and 39 malignant) underwent magnetic resonance imaging (MRI), including DWI using b-values of 500 and 1000 s/mm2. Freehand regions of interest along the margins of the lesions were manually placed onto the ADC maps then average ADCs of the whole lesions were determined. Receiver operating characteristic (ROC) curve was drawn to determine a cut-off ADC value for the differentiation between benign and malignant masses. Results: The mean ADC value for malignant lesions (0.67x10-3 mm2/sec) were significantly lower than the mean ADC value for benign lesions (1.25x10-3mm2/sec) (P <0.0001). When a cut-off ADC value 0.995 {u00D7}10-3 mm2/sec was used, sensitivity and specificity were 92.3%, 77.8% respectively with 81.8% positive predictive value and 90.3% negative predicative value, which was statistically significant. ADCs also effectively discriminated lymphomas from other malignant tumors

Issued also as CD

There are no comments on this title.

to post a comment.