OPTIMALISASI ASIR-V UNTUK MENINGKATKAN KUALITAS CITRA MSCT UROLOGI KONTRAS KASUS HIDRONEFROSIS SEBAGAI UPAYA MENGURANGI DOSIS RADIASI

Abstract

Background: Hydronephrosis, ureteral obstruction or renal pelvis, can be evaluated using MSCT urography with contrast. High radiation dose is a consideration in MSCT, decreasing the exposure factor is an option but image noise remains a limitation. Adaptive Statistical Iterative Reconstruction (ASIR-V) algorithm can reduce noise, but the optimal ASIR-V level is still debated. This study aims to evaluate the differences in anatomical information among ASIR-V variations and determine the most optimal settings for hydronephrosis. Methods: This experimental study analyzed 30 urological MSCT images generated from 10 patients. Two radiologists assessed the anatomical information, against the application of ASIR-V on images with 50%, 60% and 70% variation. Friedman test followed by Wilcoxon test was used to analyze the differences among ASIR-V levels, with the error rate set at 5%. Results: There were significant differences in the clarity of anatomical information across ASIR-V variations (p=0.004). The highest mean rank (2.75) was observed at ASIR-V 60%, indicating it provided the best anatomical clarity in contrast-enhanced urological MSCT for hydronephrosis.. Conclusion: ASIR-V 60% produces the most optimal anatomical information clarity in contrast-enhanced urological MSCT examinations for clinical hydronephrosis.