European Journal of Molecular & Clinical Medicine

Background: The incidence of renal masses has risen significantly over the past years with the increasing use of radiological imaging modalities. For various treatment modalities of renal masses correct preoperative evaluation of renal tumors is very important. Present study was aimed to study of computed tomography (CT) in assessment in characterization of renal masses at a tertiary hospital. Material and Methods: Present study was single-center, prospective, observational study, conducted patients of either gender, with diagnosed renal masses on ultrasound, underwent biopsy/surgery & histopathological diagnosis was available. Multi detector computed tomography was performed using 16 slice MDCT scanner. Results: 38 patients of renal mass were studied, majority patients were from 51-60 years (23.68%), 61-70 years age group (28.95%), were male (65.79%) & left sided (52.63%). Mean age was 55.9 ± 11.2 years. Common complaints were pain in abdomen (60.53%), Hematuria (28.95%), Mass per abdomen (23.68%) & nonspecific complaints (63.16%). In present study, Renal Cell Carcinoma (39.47 %), Renal abscess (15.79 %), Xanthogranulomatous pyelonephritis (XGPN) (7.89 %), Multi-locular cystic nephroma (MLCN) (7.89 %), Bosniak type Cyst (7.89 %) & Lymphoma (5.26 %) were common CT diagnosis. 36 CT diagnosis were correlating with histopathology report, 2 CT diagnosis were not correlating to histopathology diagnosis as Bosniak type cyst was a case of renal cell carcinoma & renal cell carcinoma was a case of renal metastasis of unknown primary. Conclusion: Computed Tomography is the imaging modality of choice for further evaluation and characterization & enables excellent detection of renal masses and differentiation between cystic, complex cystic and solid masses.

Background:Many radiologists recognize that there are common lung nodules, that majority of
them are benign, and that not all benign lung nodules need the same management .The Lung
Imaging Reporting and Data System (Lung-RADS( was introduced to create a framework for the
analysis of screen-detected nodules and to enable nodule management further standardized. Aim
of work:To assess the performance of Lung-RADS in categorization of pulmonary nodules using
baseline screening CT scans. Subjects and methods:A prospective comparative study was
conducted in radiodiagnosis department, Zagazig university hospitals on 30 patients referred
from the chest department of Zagazig university hospitals as well as the outpatient clinics for CT
lung screening during the period from August 2018 to May 2019.All patients were subjected to
complete history taking, full clinical examination, MDCT imaging, PET/CT imaging in some
nodules, pathological examination, clinical and imaging follow up according to the criteria of the
nodules after 6 months by CT. Results:Considering only those cases classified as Lung-RADS4X
for predicting malignancy, the Lung-RADS had an accuracy, sensitivity, specificity, PPV, and
NPV of 76.7%, 70.6%,84.6%, 85.7%, and 68.6%, respectively. Considering Lung-RADS4A,
Lung-RADS4B and Lung-RADS4X together as predictors for malignancy, the accuracy,
sensitivity, specificity, PPV, and NPV were 90%, 94.1%, 84.6%, 88.9%, and 91.7%,
respectively.Conclusion:The LUNG–RAD classification method is a useful conceptualising
system that aids in the classification, follow-up, and improvement of the prognosis of malignant
pulmonary nodules.