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Evaluation of a new predictive equation for automated calculation of size-specific dose estimate (SSDE) in CT imaging

Osman ND, Abdulkadir MK, Shuaib IL, Nasirudin RA

Radiography (Lond), 2024 Jan;30(1):237-244.
PMID: 38035439 DOI: 10.1016/j.radi.2023.11.012

INTRODUCTION: The adoption of size-specific dose estimate (SSDE) in clinical practice is still limited owing to the tedious and complex manual measurement of individual patient size for the clinical calculation of SSDE. Thus, the automation of SSDE is imperative. This study aims to evaluate a predictive equation for the automated calculation of SSDE.
METHODS: A user-friendly software was developed to accurately predict the individual size-specific dose estimation of paediatric patients undergoing computed tomography (CT) scans of the head, thorax, and abdomen. The software includes a calculation equation developed based on a novel SSDE prediction equation that used a population's pre-determined percentage difference between volume-weighted computed tomography dose index (CTDIvol) and SSDE with age. American Association of Physicists in Medicine (AAPM RPT 204) method (manual) and segmentation-based SSDE calculators (indoseCT and XXautocalc) were used to assess the proposed software predictions comparatively.
RESULTS: The results of this study show that the automated equation-based calculation of SSDE and the manual and segmentation-based calculation of SSDE are in good agreement for patients. The differences between the automated equation-based calculation of SSDE and the manual and segmentation-based calculation are less than 3%.
CONCLUSION: This study validated an accurate SSDE calculator that allows users to enter key input values and calculate SSDE.
IMPLICATION FOR PRACTICE: The automated equation-based SSDE software (PESSD) seems a promising tool for estimating individualised CT doses during CT scans.
Prevalence and associated factors for isolated Malassezia species in patients with Dandruff in Mekelle City, Tigrai, Ethiopia

Gebrezihier BG, Abdulkadir M, Sbhatu DB, Tsegay E, Berhe GG

BMC Res Notes, 2024 Nov 12;17(1):336.
PMID: 39533436 DOI: 10.1186/s13104-024-06998-z

OBJECTIVE: Dandruff, a condition caused by lipophilic Malassezia fungi, is an excessive shed of dead skin cells from the scalp. Effective preventive and curative measures of the condition depend on knowledge and understanding of the prevalence of the condition, the common etiologic species, and the associated factors. This study aimed to investigate the prevalence, common etiologic species, and associated factors of Malassezia infection in Mekelle City, Ethiopia.
METHOD: A facility-based cross-sectional study was conducted from February 2019 to June 2020 involving 217 participants who were visiting dermatology clinics to seek treatment for dandruff conditions. Information on the socio-demographic characteristics and hair care behaviors of the participants was obtained. Isolation and identification of Malassezia species from scalp scrapings using cultural and biochemical tests were carried out.
RESULTS: Out of the 217 participants with dandruff, 111 (51.15%) were positive for Malassezia fungi. One hundred forty (140) Malassezia isolates were collected from the 111 positive participants. Further study of the isolates yielded three etiologic species: Malassezia globosa (67.15%), M. furfur (21.70%), and M. restricta (12.15%). Demographic characteristics, namely gender (AOR = 2.605; 95%CI: 1.427 - 4.757) and age (AOR = 2.667; 95%CI: 1.046 - 6.795), as well as hair care behaviors, namely use of hair oil (AOR = 2.964; 95%CI: 1.288 - 6.820), were associated with the presence of Malassezia species. However, the use of anti-dandruff shampoo (AOR = 2.782; 95%CI: 1.301 - 10.993) was negatively associated with the presence of Malassezia species among the participants with dandruff conditions. These findings open opportunities to devise effective prevention, management, and control measures for Malassezia-based dandruff conditions.
In situ assessment of terrestrial gamma radiation dose and associated radiological hazards in Katsina State, Nigeria

Garba NN, Abdulkadir M, Nasiru R, Saleh MA, Bello S, Khandaker MU, et al.

Isotopes Environ Health Stud, 2023 Mar;59(1):112-125.
PMID: 36735938 DOI: 10.1080/10256016.2023.2172001

Terrestrial gamma radiation dose (TGRD) rates were measured in situ from different locations in Katsina State, Nigeria, using a portable radiation survey metre based on geological formations and soil types. The measured TGRD rates ranged from 45 to 271 nGyh-1 with an average value of 116 ± 1 nGyh-1. Geological formation (silicified sheared rock) and soil type (lithosols and ferruginous crusts and ferruginous tropical soils) appeared to have the highest mean TGRD values of 163 and 134 nGyh-1 with sandstone geological formation and alluvial and hydromorphic soils having the lowest TGRD with values of 80 and 61 nGyh-1, respectively. One way ANOVA results shows that the tested null hypothesis was rejected. Thus, indicating that there exists a strong relationship between the various geological formations, soil types with the measured TGRD values based on the alternate hypothesis. Human health hazard indices like annual effective dose equivalent (AEDE), lifetime outdoor annual equivalent dose, and relative excess lifetime outdoor cancer risk associated with the mean TGRD of the study area were also calculated and found to be 0.711, 9.955 mSv, and 5.79 × 10-4, respectively. These values were higher than the world average values but favourable compared with the safety limits recommended by ICRP.

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