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All Journal International Journal of Research in Community Services Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics International Journal of Health, Medicine, and Sports Indonesian Journal of Science and Education
Ramdhani, Saumi Zikriani
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Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Comparison of CTDIw and Effective mAs as Predictors of Effective Dose in Thoracic CT Examinations: A Retrospective Analysis Bilqis, Ayesha; Nurhanivah, Devi; Ramdhani, Saumi Zikriani; Soleh, Adeada Annisa Aulia
International Journal of Health, Medicine, and Sports Vol. 3 No. 3 (2025): International Journal of Health, Medicine, and Sports
Publisher : Corespub

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijhms.v3i3.245

Abstract

This study compared the association between weighted computed tomography dose index (CTDIw) and effective milliampere-seconds (effective mAs) with the effective dose (ED) received by patients during thoracic computed tomography (CT) examinations. Retrospective data from breast cancer patients were obtained from The Cancer Imaging Archive (TCIA) and processed using IndoseCT software to extract CTDIw, effective mAs, and ED values. Descriptive statistics, scatter plots, and simple linear regression analyses were performed to evaluate the relationships between these parameters. The correlation between effective mAs and CTDIw was moderately strong (R² = 0.6774), consistent with the principle that higher tube current–time settings generally increase scanner-reported dose indices. CTDIw and ED showed a very strong correlation (R² = 0.978), reflecting the close link between standardized dose metrics and estimated patient dose. The correlation between effective mAs and ED (R² = 0.7505) was stronger than that between effective mAs and CTDIw, but still lower than the CTDIw–ED correlation. These results indicate that, in this dataset, CTDIw was a more consistent predictor of ED than effective mAs. While both parameters are relevant for dose assessment, CTDIw may be a more reliable reference for estimating ED in similar thoracic CT protocols. Although this analysis was limited to retrospective data from a specific patient group, the findings provide practical insights that can support protocol evaluation and dose optimization strategies. Further studies involving larger and more diverse datasets would be beneficial to confirm and extend these observations.
Identification of Students’ Comprehension of Radiation Concept Using Rasch Analysis Bilqis, Ayesha; Nurhanivah, Devi; Ramdhani, Saumi Zikriani; Taufani, Muhammad Rizka; Aminudin, Adam Hadiana; Kuncoro, Alvina Kusumadewi; Syamsiah, Endah Nur; Ulya, Naily; Aningsih, Sri
International Journal of Research in Community Services Vol. 5 No. 3 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i3.713

Abstract

This community service was conducted using a survey method. The survey aimed to test the understanding of high school students regarding the dangers of radiation exposure from the surrounding environment. Participants in this activity were 48 students (35 science students and 13 social science students) from a high school in Majalaya, Bandung Regency. The instrument used was a two-tier diagnostic test consisting of 4 essay questions related to physics concepts concerning radiation exposure. The analysis of the test results was divided into two parts: conception analysis and Rasch analysis. The conception analysis was done by interpreting students' answers and categorizing them into five conception categories: Full Understanding (FU), Partial Understanding (PU), Misconception (MC), Not Understanding (NU), and No Coding (NC). This categorization was presented in percentage form. The Rasch analysis was conducted based on the distribution of students' answers and item bias detection to identify the spread of students' answers to each question item and the biases present. First, the conception analysis results showed that 53% of students were included in the FU category, while only 5% were in the Not Understanding (NU) category. This indicates that students' understanding of the dangers of radiation exposure is quite good, as more than half of the participants are in the FU category. Second, the Rasch analysis results based on the distribution of students' answers showed that more students could answer basic comprehension questions compared to classification and analysis-based questions. Additionally, the Rasch analysis results based on item bias detection indicated that there was no gender or academic major bias in the four question items.
Examining the Relationship between Water-Equivalent Diameter (Dw) and Body Mass in Breast Cancer Patients Nurhanivah, Devi; Ramdhani, Saumi Zikriani; Bilqis, Ayesha
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/3g7sep81

Abstract

Breast cancer is the most prevalent cancer worldwide, necessitating precise imaging techniques for effective treatment planning. This study aims to analyze the Water-Equivalent Diameter (Dw) in breast cancer patients using Computed Tomography (CT) and to investigate its relationship with patient body mass. Medical imaging data from 30 breast cancer patients, aged 23-66 years, was reviewed to calculate Dw using three different methods: contour ROI, elliptical ROI, and without ROI. The results showed average Dw values of 28.68 cm for contour ROI, 29.184 cm for elliptical ROI, and 30.255 cm without ROI. This indicates that contour ROI yields the smallest Dw due to its focus on cancerous areas. Furthermore, a positive linear correlation between Dw and body mass was established, with an R² value of 0.7743. This suggests that larger body mass leads to increased Dw values. This study emphasizes the importance of considering ROI selection and highlights the significant impact of patient body mass on Dw. This is crucial for optimizing radiation exposure in breast cancer treatment.
Prioritizing Urban Radiation Monitoring Using Background Radiation Levels and Population Density: A Bandung Case Study Ramdhani, Saumi Zikriani; Nurhanivah, Devi; Bilqis, Ayesha; Bariq, Abiel
Indonesian Journal of Science and Education Vol. 9 No. 2 (2025): Indonesian Journal of Science and Education (In Press)
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/ijose.v9i2.3101

Abstract

This study investigated background radiation in Bandung City by integrating field measurements with demographic data to establish monitoring priorities. Data were collected from 60 sampling points across ten densely populated districts, covering six land-use types: open areas, residential neighborhoods, offices, healthcare facilities, industrial or waste sites, and waterways. Radiation levels were measured using a handheld Geiger–Müller counter in counts per minute (CPM) and were analyzed using medians, quartiles, interquartile ranges (IQR), and 95th percentiles (P95). Differences among districts were tested with the Kruskal–Wallis method. The citywide baseline was determined at 21 CPM, with district medians ranging from 16.5 to 23.5 CPM. Although several districts showed slightly higher or lower values, statistical results (p ≈ 0.111) indicated that the variation was not significant. Wider IQR values in some districts reflected localized heterogeneity, while Districts I and E recorded the highest P95 values. To refine monitoring priorities, a Population-Weighted Index (PWI) was applied by combining radiation levels with population data. Districts E, A, and C were identified as priority areas because of their relatively higher CPM values, larger populations, or both. Overall, the findings suggested that while background radiation levels in Bandung remained within natural ranges, incorporating demographic factors into radiation assessments provided a more effective approach for prioritizing urban monitoring, managing potential risks, and supporting public health planning.
Co-Authors Aminudin, Adam Hadiana Aningsih, Sri Bariq, Abiel Bilqis, Ayesha Kuncoro, Alvina Kusumadewi Nurhanivah, Devi Soleh, Adeada Annisa Aulia Syamsiah, Endah Nur Taufani, Muhammad Rizka Ulya, Naily