Using LIBS as a diagnostic tool in pediatrics beta-thalassemia

Alsharnoubi, Jehan; Nassef, Yasser; Fahmy, Reham F.; Gamal, Mohamed

doi:10.1007/s10103-020-03117-9

Cited by 10 publications

(7 citation statements)

References 26 publications

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“…This comes in agreement with Al-Naama et al [20] and Alsharnoubi et al [1], they found significantly lower BMI, BMI -score, height, and weight in patients of both sexes with -TM than in controls. Short stature was observed in 52% of patients with -TM and as regard to BMI, our results are in agreement with Eissa and El-Gamal [21] and Hagag et al [19] who found significantly lower BMI in patients compared with controls which was explained by chronic nature of the disease.…”

Section: Discussionsupporting

confidence: 91%

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Magnetic Resonance Imaging Versus Serum Iron Status as Diagnostic Tools for Pituitary Iron Overload in Children with Beta Thalassemia

Morad

El-Shanshory

Hablas

et al. 2021

JAMMR

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Background: Thalassemia is a common genetic disorder associated with endocrine disorders. Iron deposition may start in the anterior pituitary gland, but clinical signs are usually not evident until puberty. Aim of the study was to evaluate pituitary iron overload in children with β thalassemia using MRI T2* and correlate MRI T2* and biochemical markers of iron overload with pituitary hormones. Patients and Methods: This study was carried out on 30 children with β-thalassemia major (19 females and 11 males ) with their age ranging from 10 - 18 years and mean age value of 12.8 ± 2.4 and 30 healthy children of matched age and sex as controls in the period from September 2018 to September 2019. For all patients the following were done: complete clinical evaluation including anthropometric data and Tanner staging, laboratory investigations including serum iron status, thyroid function, basal and growth hormone provocation test by clonidine, Follicle stimulating hormone (FSH) , Luteinizing hormone (LH) , and pituitary MRI T2*. Results: Weight, Z score of weight, height, Z score of height and Body mass index (BMI) were found significantly lower in patients compared with controls. Patients had delayed puberty compared with controls. Pituitary MRI T2* was found significantly lower in patients compared with controls (P=0.001). FSH, LH, and provocative growth hormone levels were found significantly lower in patients compared to controls (p <0.001). Serum ferritin & iron were found significantly higher in patients than controls (P<0.001). Significant negative correlations were found between serum ferritin and Weight, Height, Z score of Weight, Z score of Height, BMI and pituitary hormones. Significant negative correlations were found between Pituitary MRI T2* and serum ferritin. Significant positive correlations were found between Pituitary MRI T2* and Weight, Height, Z score of Weight, Z score of Height and pituitary hormons. The pituitary T2* carried the sensitivity of 80% ,100% and 100% and specificity of 70% ,83.3% and 100% for predicting GH hormone abnormality, LH and FSH respecetively. Conclusions: There were a significant positive correlations between pituitary MRI T2*and anthropometric measurement and pituitary hormones of studied patients. There was a significant negative correlation between Pituitary T2* and serum ferritin. Pituitary iron overload can be detected by MRI T2* which is a diagnostic tool in detecting pituitary iron overload with subsequent effect on hormonal secretion especially growth hormone. Recommendations: Children with thalassemia should undergo meticulous follow up regarding regular blood transfusion, regular iron chelators in a proper manner and doses and routine use of MRI T2* in the evaluation of pituitary iron overload before irreversible damage occur in the pituitary gland.

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Section: Discussionsupporting

confidence: 91%

“…Thalassemia is a category of genetic disorders characterized by impairment of globin-chain synthesis [1].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Resonance Imaging Versus Serum Iron Status as Diagnostic Tools for Pituitary Iron Overload in Children with Beta Thalassemia

Morad

El-Shanshory

Hablas

et al. 2021

JAMMR

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“…The reasons for this were not discussed by the authors. Alsharnoubi et al 95 employed LIBS in the screening of serum samples for Ca, Cu, Fe and Zn for beta-thalassemia detection. Controls and patient samples were analysed, showing that Cu and Fe were statistically significantly higher in patients whereas Ca and Zn were lower.…”

Section: Progress With Analytical Techniquesmentioning

confidence: 99%

Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages

Patriarca

Barlow

Cross³

et al. 2022

J. Anal. At. Spectrom.

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“…Compared with the traditional analysis method, LIBS has the advantages of rapidness, real-time assessment (Ding et al, 2020), on-site micro-loss analysis (Qi et al, 2018), remote detection (Agresti et al, 2022), no need for complex sample preparation (Gupta et al, 2020), and simultaneous analysis of multiple elements (Shukla et al, 2022). In recent years, LIBS has been successfully used in geological exploration (Rethfeldt et al, 2021), metallurgical analysis (Myakalwar et al, 2021), medical diagnosis (Alsharnoubi et al, 2020), archaeology (Wallace et al, 2020), environmental monitoring (Ding et al, 2019), and other fields, including fertilizer detection. Danie et al converted liquid fertilizer into a solid and used LIBS to analyze Cu, K, Mg, Mn, Zn, As, Cd, Cr, and Pb contents in the fertilizer, with a detection error of .02%-.06% (Andrade et al, 2017);Sha.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of fertilizer using laser-induced breakdown spectroscopy combined with random forest algorithm

Wei

Ding²,

Chen³

et al. 2023

Front. Chem.

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Chemical fertilizers are important for effectively improving soil fertility, promoting crop growth, and increasing grain yield. Therefore, methods that can quickly and accurately measure the amount of fertilizer in the soil should be developed. In this study, 20 groups of soil samples were analyzed using laser-induced breakdown spectroscopy, and partial least squares (PLS) and random forest (RF) models were established. The prediction performances of the models for the chemical fertilizer content and pH were analyzed as well. The experimental results showed that the R2 and root mean square error (RMSE) of the chemical fertilizer content in the soil obtained using the full-spectrum PLS model were .7852 and 2.2700 respectively. The predicted R2 for soil pH was .7290, and RMSE was .2364. At the same time, the full-spectrum RF model showed R2 of .9471 (an increase of 21%) and RMSE of .3021 (a decrease of 87%) for fertilizer content. R2 for the soil pH under the RF model was .9517 (an increase of 31%), whereas RMSE was .0298 (a decrease of 87%). Therefore, the RF model showed better prediction performance than the PLS model. The results of this study show that the combination of laser-induced breakdown spectroscopy with RF algorithm is a feasible method for rapid determination of soil fertilizer content.

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Using LIBS as a diagnostic tool in pediatrics beta-thalassemia

Cited by 10 publications

References 26 publications

Magnetic Resonance Imaging Versus Serum Iron Status as Diagnostic Tools for Pituitary Iron Overload in Children with Beta Thalassemia

Magnetic Resonance Imaging Versus Serum Iron Status as Diagnostic Tools for Pituitary Iron Overload in Children with Beta Thalassemia

Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages

Quantitative analysis of fertilizer using laser-induced breakdown spectroscopy combined with random forest algorithm

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