Hulu, Yessi Vanni
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Gambaran Noise pada Pemeriksaan CT-Scan Brain menggunakan Protokol Fast Stroke di Instalasi Radiologi Rumah Sakit Otak DR. DRS. M. Hatta Bukittinggi Zasneda, Sabriani Suci; Kustoyo, Bambang; Hulu, Yessi Vanni; Saragih, Febby Lolasari
Prosiding Seminar Kesehatan Nasional Vol. 1 No. 1 (2022): Desember
Publisher : 3031-8572

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36565/prosiding.v1i1.111

Abstract

Stroke is one of the leading causes of death worldwide, with non-hemorrhagic stroke accounting for 85% of cases. CT-Scan examination is the primary modality for stroke diagnosis. This study aims to determine the examination technique and evaluate noise characteristics in CT-Scan brain examination using fast stroke protocol at Dr. Drs. M. Hatta Brain Hospital, Bukittinggi. This is a qualitative descriptive study conducted from June to July 2023 involving four informants consisting of one doctor and three radiographers. Data were collected through literature review, observation, in-depth interviews, and documentation. The fast stroke protocol uses parameters of 120 kVp, 210 mA, 1.25 mm slice thickness, DFOV 26.9 cm, and total exposure time 4.33 seconds. Results showed that the fast stroke protocol with 1.25 mm slice thickness produces higher noise compared to head routine protocol with 5 mm slice thickness. However, thinner slices provide better detail and can detect smaller lesions, which is crucial for early stroke detection. The head routine protocol produces smoother images with less noise but lower detail. For stroke cases, the fast stroke protocol is more optimal as it can detect smaller lesions in critical areas. Image quality is influenced by slice thickness, where thinner slices increase noise but improve spatial resolution and diagnostic accuracy. It is concluded that the fast stroke protocol is more suitable for stroke cases despite higher noise levels, as the benefits of improved lesion detection outweigh the disadvantages of increased noise
Optimasi Dosis Radiasi pada Pemeriksaan CT-Scan Brain dengan Klinis Stroke Non Hemoragik di Rumah Sakit Otak DR. DRS. M. Hatta Bukittinggi Zasneda, Sabriani Suci; Kustoyo, Bambang; Hulu, Yessi Vanni; Saragih, Febby Lolasari
Prosiding Seminar Kesehatan Nasional Vol. 2 No. 1 (2023): Desember
Publisher : 3031-8572

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36565/prosiding.v2i1.175

Abstract

Stroke non-hemorrhagic requires rapid and accurate diagnostic imaging using CT-Scan examination. However, CT-Scan is associated with relatively high radiation exposure. This study aims to evaluate radiation dose in CT-Scan brain examination with non-hemorrhagic stroke clinical indication and identify optimization strategies based on ALARA principles. This descriptive research with quantitative approach was conducted at Radiology Installation of RS Otak DR. Drs. M. HATTA Bukittinggi from June to August 2023. Data were collected from 50 CT-Scan brain examinations with stroke clinical indication, including CTDIvol, DLP, and effective dose measurements. Technical parameters analyzed include kVp, mAs, slice thickness, and scan length. Results showed mean CTDIvol of 52.3±8.7 mGy, mean DLP of 1024.5±156.2 mGy.cm, and mean effective dose of 2.05±0.31 mSv. These values are within acceptable diagnostic reference levels (DRL) but can still be optimized. Factors affecting radiation dose include patient body habitus (r=0.68, p<0.001), scan length (r=0.72, p<0.001), and tube current selection (r=0.81, p<0.001). Optimization strategies identified include implementation of automatic tube current modulation (ATCM), scan length limitation to necessary areas only, and use of iterative reconstruction techniques. Implementation of these optimization strategies can reduce radiation dose by 30-40% without compromising diagnostic image quality. Conclusion: Radiation dose in CT-Scan brain examination for stroke cases at RS Otak DR. Drs. M. HATTA Bukittinggi is within acceptable limits but requires continuous optimization through implementation of dose reduction techniques while maintaining diagnostic quality according to ALARA principles