Claim Missing Document
Check
Articles

Found 2 Documents
Search

STUDI PENGOLAHAN LIMBAH RADIOAKTIF CAIR DENGAN TEKNOLOGI MEMBRAN Tri Harjanto
SIGMA EPSILON - Buletin Ilmiah Teknologi Keselamatan Reaktor Nuklir Vol 13, No 4 (2009): November 2009
Publisher : Badan Tenaga Nuklir Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/sigma.2009.13.4.2963

Abstract

Pemanfaatan teknologi nuklir menghasilkan limbah radioaktif yang harus dikelola supaya tidak mencemarilingkungan dan masyarakat, diantaranya dengan teknologi membran, khususnya untuk pengolahan limbahradioaktif cair. Studi ini akan membahas teknologi membran untuk mereduksi limbah radioaktif cair supayavolumenya menjadi kecil sehingga memudahkan pengelolaan selanjutnya. Proses pengolahan limbah denganmembran bekerja dengan cara pemisahan patikel pengotor termasuk partikel radioaktif berdasarkan besarnyadiameter partikel, atom-atom maupun ion-ion radioaktif yang terlarut bersama air. Pemisahan air dengan partikelradioaktif ini berdasarkan diameter parikel yang terlarut. Partikel yang terlarut dapat berukuran mikrometer,ultrameter maupun nanometer, untuk pemisahan partikel mikro dengan membran mikrofiltrasi, untukmemisahkan partikel ultra dengan membran ultrafiltrasi sedang yang berukuran nano dengan membrannanofiltrasi dan ion-ion dapat dipisahkan dengan membran sistem Reverse Osmosis (RO).
Diagnostic Imaging of Severe Pneumonia COVID-19: A Comprehensive Systematic Review Claudia Bella Laurentia; Tri Harjanto; Tiarma Saulina
The International Journal of Medical Science and Health Research Vol. 9 No. 2 (2025): The International Journal of Medical Science and Health Research
Publisher : International Medical Journal Corp. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70070/esrc1540

Abstract

Background: COVID-19, caused by SARS-CoV-2, has become a global health crisis since its emergence in December 2019. Severe pneumonia is a critical manifestation of the disease, often necessitating diagnostic imaging for effective management. This systematic review evaluates the diagnostic imaging features of severe pneumonia in COVID-19 using chest X-ray (CXR), computed tomography (CT), lung ultrasound (LUS), and magnetic resonance imaging (MRI). Methods: This review follows PRISMA 2020 guidelines. Studies from 2019–2024 were screened for peer-reviewed evaluations of imaging findings in severe COVID-19 pneumonia. Results: Eight studies were included. Key findings demonstrated the utility of LUS in detecting early abnormalities like B-lines, critical for bedside monitoring. CXR served as a prognostic tool with radiographic severity scores correlating with adverse outcomes. CT provided detailed anatomical insights, identifying ground-glass opacities (GGO), consolidations, and disease severity markers. MRI, while less commonly used, showed comparable sensitivity and specificity to CT, with advantages in radiation-free imaging for specific populations. Discussion: The reviewed studies highlight the complementary roles of imaging modalities in managing COVID-19 pneumonia. Key imaging features include ground-glass opacities, consolidations, and crazy-paving patterns, predominantly in peripheral and lower lung regions.        Conclusion: Imaging modalities play complementary roles in managing severe COVID-19 pneumonia. LUS is ideal for bedside assessments, CXR aids in prognostication, CT remains the gold standard for detailed evaluation, and MRI offers a viable alternative for radiation-sensitive cases. Understanding these modalities' applications can enhance diagnostic accuracy and clinical outcomes.