Background: Chronic kidney diseases (CKD) is progressive condition associated with significant global morbidity, often driven by underlying disorders such as hypertension and diabetes mellitus. Noninvasive imaging modalities like shear wave elastography (SWE) and Doppler-based renal resistive index (RI) measurements are emerging as promising tools to assess renal parenchymal changes and predict disease progression. Methods: In a prospective case-control study, 60 participants (30 CKD patients, 30 healthy controls) underwent renal ultrasound with SWE and Doppler evaluation. Tissue stiffness (YM) was measured using Philips ELASTPQ technology, and RI was derived from segmental renal arteries. Data were statistically analysed usings SPSS v22, withcorrelations examined between imaging parameters and clinical, laboratory, and demographic variables. Results: YM show a significant -ve correlations with estimate glomerular filtrations rate (eGFR) (r = −0.394, p< 0.001) &+ ve correlations with serumcreatinine (r = 0.426, p< 0.001) & serum urea (r = 0.368, p< 0.001). RI was significantly highers in patient with diabete, cardiovascular disease, smokings habit, and highers serums phosphorus, and inversely correlated with hemoglobin and eGFR. Multivariate analysis confirmed eGFR, phosphorus, and cardiovascular disease as independent predictors of RI. no Significant corelation was observe b/W YM & RI. Conclusion: Both YM and RI serve as valuable noninvasive markers reflecting renal fibrosis and vascular resistance, respectively. RI appears to be influenced by both renal and systemic factors, independent of eGFR. These findings support the integration of elastography and RI assessment in CKD evaluation and highlight the need for further multicenter studies and interventional trials to validate their prognostic value.