Fabrication and characterization of epoxy resin-added<i>Rhizophora spp</i>. particleboards as phantom materials for computer tomography (CT) applications

Oglat, Ammar A.; Alshipli, Marwan; Sayah, Mohannad Adel; Farhat, O.F.; Ahmad, Muntaser S.; Abuelsamen, Abdulsalam

doi:10.1080/00218464.2021.1878890

Cited by 12 publications

(2 citation statements)

References 33 publications

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“…Where T (1⁄2 b) is the biological half-life for 131 I in the human body which equals to 6.3 day as the previous study shows [26][27][28][29][30][31][32][33]., and T1/2p is the physical half-life for 131 I which is 8.04 day. Table 2 displays the correlation coefficient R between the dependent variable (Activity) and the independent variable (beta at 1m), which is equal to (0.723), as well as the square of the correlation coefficient (R square), which is (0.523), which shows the percentage of variation between the two coefficients (moderate dependently), and the ANOVA table, which displays the value of (0.00), indicating a strong relationship between the variable's Activity and beta.…”

Section: Resultsmentioning

confidence: 99%

Statistical calculation of beta radiotherapy dose using I-131: analysis and simulation method.

Ahmad,

Mohammad

2024

J. Phys.: Conf. Ser.

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Radioiodine-131 (I-131) treats hyperthyroidism and differentiated thyroid carcinoma. In I-131, beta radiation (β−) is utilized for treatment and gamma radiation (γ) is used for diagnostic. This research sought to determine if a patient would be treated by establishing an equation for beta-thyroid cell interaction. The prospective study included 35 thyroid cancer patients receiving I-131 treatment. Beta and gamma readings were taken at different distances and sent to the statistical shop to find the coefficients of change on which the beta reaction depends and the equation that depends on it to find the beta range involved in healing. The strongest equation was R square (98.1%). To measure beta at 1 m, use the equation with a 99% association between variables and independent variables, and improve with ANOVA with a p-value of 0.00 0.05. The equation is: β_1m= -123.893+(0.947*δ) +(0.123*ε) -(0.002*π) -(2.11*Log Gamma). The discrepancy between true beta readings (mean = 1040) and the equation (mean = 1087, p-value = 0.411) is more than 0.05. That indicates the values are same. The equation that measures beta during iodine therapy has been achieved, which is the first step to improved thyroid cancer treatment.

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Section: Resultsmentioning

confidence: 99%

Statistical calculation of beta radiotherapy dose using I-131: analysis and simulation method.

Ahmad,

Mohammad

2024

J. Phys.: Conf. Ser.

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“…There are many factors that radiologic technologists should consider when using CA, such as the duration of injection, which is the most important injection-related factor influencing CT scan timing, and the amount of CA, which corresponds to the essential patient-specific variables influencing the amount of vascular and parenchymal contrast enhancement, the latter of which is represented by body weight [6,[28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Signal Quantification of Intravenous Contrast Agents Enhancement from Biphase Liver CT Scan Procedures

Alqam,

Ahmad,

Mohammad

2024

J. Phys.: Conf. Ser.

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In multi-detector computed tomography (MDCT) abdominal and pelvic CT treatments with intravenous (IV) contrast media (CM), automated bolus monitoring with a fixed contrast enhancement delay was examined. Statistics assess all contrast enhancement variables, including patient data like body weight, cardiac output, and contrast injection settings. This study comprised 100 retrospective and 43 prospective patients. In the first group, the Hounsfield unit (HU) was measured before, 30 seconds, and 70 seconds after CM. The second group measured age, weight, heart rate, systolic and diastolic blood pressure, and creatinine. The radiographer computed CM time based on HU values around 120. The differences in HU levels across groups were used to create an equation for imaging time prediction utilizing auto-mated bolus monitoring. The Bolus Time Equation’s predictors included patient weight, heart rate, creatinine level, and systolic blood pressure, with 34.9% dependency and 59.1% influence on each variable. The equation is trustworthy since the ANOVA test indicated p = 0.002. The computation and study gave the same Bolus Time value with a p-value of (0.992 > 0.05). The first and second groups exhibited very different HU rates (p-value 0.00). The research found that fixed-time improved more than bolus monitoring, which performed better.

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Assessing Radiation Dose Levels in Aortic CT Imaging: A Comparative Analysis of DLP and CTDI References in Palestinian Governmental Hospitals

Ahmad,

Alkhatib,

Jearah

et al. 2024

Studies in Systems, Decision and Control

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Fabrication and characterization of epoxy resin-addedRhizophora spp. particleboards as phantom materials for computer tomography (CT) applications

Cited by 12 publications

References 33 publications

Statistical calculation of beta radiotherapy dose using I-131: analysis and simulation method.

Statistical calculation of beta radiotherapy dose using I-131: analysis and simulation method.

Signal Quantification of Intravenous Contrast Agents Enhancement from Biphase Liver CT Scan Procedures

Assessing Radiation Dose Levels in Aortic CT Imaging: A Comparative Analysis of DLP and CTDI References in Palestinian Governmental Hospitals

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