Biochemical Correlations Research Articles

Staining patterns of aldosterone synthase in patients undergoing surgery for primary aldosteronism: Proposal for system of categorization and investigation of clinical and biochemical correlation

BackgroundHow aldosterone synthase (CYP11B2) staining patterns impact patient outcomes in those with unilateral primary aldosteronism is not well described. We hypothesized that a system of categorization would benefit future research and that clinical and biochemical outcomes after unilateral adrenalectomy are impacted by different CYP11B2 staining patterns. MethodsA retrospective review of patients undergoing adrenalectomy for primary aldosteronism from January 2015 to September 2023 was conducted. Demographics, clinical, and pathologic data were analyzed. A system of categorization of staining patterns was developed. Clinical and biochemical outcomes were compared with staining patterns to assess differences and determine correlation. Descriptive and statistical analyses were performed using SPSS. ResultsForty-three patients were included. The following CYP11B2 staining patterns were identified: (1) single adenoma; (2) aldosterone producing nodule(s) or micronodule(s); (3) combination of type 1 and type 2; (4) hyperplasia; and (5) aldosterone-producing adrenocortical cancer. In total, 23 of 43 revealed CYP11B2 staining in a single adenoma only. Staining in 3/23 involved a portion of the adenoma. 4/9 patients age <40 had areas of CYP11B2 staining in nonadenomatous tissue. Complete biochemical cure was noted in 37 of 43 (86%) and complete clinical cure in 23.2%. There were no differences between staining pattern and sex, race, or age. CYP11B2 staining pattern did not correlate with early clinical or biochemical outcomes. ConclusionAdrenalectomy specimens from patients treated for primary aldosteronism reveal multiple CYP11B2 staining patterns, including in nonadenomatous tissue in many patients. The impact of these patterns on clinical outcomes requires additional investigation. Uniform categorization of staining patterns will allow for consistent reporting across studies.

Assessment of the potential risks in SD rats gavaged with genetically modified yeast containing the cp4-epsps gene.

Despite the absence of definitive evidence indicating that the cp4-epsps gene and its resultant recombinant proteins have significant harmful effects on either human or animal health, the safety assessment of genetically modified (GM) crops expressing the CP4-EPSPS proteins has been controversial. This study endeavor was aimed at evaluating the potential risks posed by the CP4-EPSPS protein in transgenic crops, thereby contributing to the advancement of risk assessment methodologies in the context of genetically engineered crops. To ascertain the appropriate daily dosages for oral gavage administration, the expression levels of the CP4-EPSPS protein in a recombinant yeast were quantified. Subsequently, physiological and biochemical analysis, metabolomics, and metagenomic analysis were conducted based on a 90-day Sprague-Dawley (SD) rats feeding experiment, respectively, thereby enhancing the depth and precision of our risk assessment framework. The results from the physiological and biochemical analysis, organ pathological, blood metabolism, gut microbiota, and correlation analysis of metabolites and gut microbiota revealed several biomarkers for further risk assessment. These biomarkers include clinical biochemical indexes such as total bilirubin (TBIL), direct bilirubin (DBIL), creatine kinase (CK), and lactate dehydrogenase (LDH); metabolites like Methionine, 2-Oxovaleric acid, and LysoPC (16:0); and gut microbiota including Blautia wexlerae, Holdemanella biformis, Dorea sp. CAG 317, Coriobacteriaceae and Erysipelotrichaceae. In conclusion, the risk can be significantly reduced by directly consuming inactivated recombinant CP4-EPSPS. Therefore, in everyday life, the risk associated with consuming GM foods containing recombinant CP4-EPSPS is substantially reduced after heat treatment.

Clinico-demographic and biochemical correlation of inflammatory gene expression in pediatric nephrotic syndrome.

Nephrotic syndrome (NS) is a common kidney disease in children. While Steroid-Sensitive Nephrotic Syndrome (SSNS) is frequently observed, Steroid-Resistant Nephrotic Syndrome (SRNS) has a poor prognosis and often leads to chronic kidney disease. The pathogenesis of SRNS is complex, with immunological modulation of T helper subtypes 1 and 2 cytokines increasing susceptibility to the disease. Currently, no established biomarkers can accurately predict SRNS. However, a group of cytokines might serve as potential indicators of responsiveness, aiding in the identification of patients with SRNS. The discovery of these cytokines as novel biomarkers for early diagnosis could greatly benefit patients. This includes preventing the adverse effects of glucocorticoid treatment and enabling a timely transition to more effective therapeutic alternatives. This study aims to investigate the association between the gene expression patterns of cytokines, including IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-13, IL-17A, NF-κB, and TNFα, in healthy participants (n = 100), SSNS patients (n = 100), and SRNS patients (n = 100). Using qRT-PCR, followed by Receiver-operating characteristic analysis, the study assesses their potential as biomarkers. Additionally, clinicodemographic data were analyzed, and bioinformatic analyses such as coexpression analysis, gene enrichment, pathway analysis, and Cytoscape were performed to enhance our understanding of the inflammatory cascade initiating podocyte injury in NS. The results of our study suggest that specific candidate genes, including IL-2, IL-5, IL-6, IL-9, IL-17A, IL-10, IL-13, and TNFα, exhibit upregulation and hold significant importance, with an Area Under the Curve value of 0.9. These genes have the potential to serve as valuable prognostic and management tools for NS, forming a promising panel of inflammatory gene biomarkers. Furthermore, conducting an extensive analysis that integrates cytokine genes with their respective targeted microRNAs could offer deeper insights into the pathogenesis of the disease.

Impaired mitochondrial quality control in fibromyalgia: Mechanisms involved in skeletal muscle alteration

Fibromyalgia (FMS) is a persistent syndrome marked by widespread musculoskeletal pain and behavioural symptoms. Given the hypothesis linking FMS aetiology to mitochondrial dysfunction and oxidative stress, we examined the biochemical correlation among these factors by studying specific proteins associated with mitochondrial homeostasis in muscle. Additionally, this study investigated the role of Boswellia serrata gum resin extract (BS), known for its various functions, including the potent induction of antioxidant enzymes, in determining protective or reparative mechanisms in the muscle cells. Sprague–Dawley rats were injected with reserpine to induce FMS.These animals exhibited moderate changes in hind limb skeletal muscles, experiencing mobility difficulties. Additionally, there were noteworthy morphological and ultrastructural alterations, along with the expression of myogenin, mitochondrial enzymes and oxidative stress markers in the gastrocnemius muscle. Interestingly, BS demonstrated a reduction in spontaneous motor activity difficulties. Moreover, BS showed a positive impact on musculoskeletal morphostructural aspects, as well as a decrease in oxidative stress and mitochondrial alterations. In particular, BS restored the mRNA expression of citrate synthase and cytochrome-c oxidase subunit II and the activity of electron transfer chain complexes. BS also influenced mitochondrial biogenesis, upregulating PGC-1α expression and the related transcription factors (Nrf1, Tfam, Nrf2, FOXO3a, SIRT3, GCLC, NQO1, SOD2 and GPx4), oxidative stress (lipid peroxidation, GSH levels and GSH-Px activity) and mitochondrial dynamics and function (Mnf2 expression and CoQ10 levels). Overall, this study underlined the key role of the mitochondrial alteration in FMS and that BS had a very high antioxidant effect in these organelles and also in the cells.

Evaluation of Hematological Parameters with Biochemical Correlation in Malaria a Cross-Sectional Study at Tertiary Care Hospital

Evaluation of Hematological Parameters with Biochemical Correlation in Malaria a Cross-Sectional Study at Tertiary Care Hospital

The biochemical effect correlated with pulmonary dysfunction and complications in obese patients

Objective: Obesity, an epidemic metabolic disorder, is associated with various biochemical, inflammatory, oxidative and immunological pathways. We aimed to investigate the biochemical effect correlated with pulmonary dysfunction and complications in overweight and obese patients. Material and Methods: We aimed to evaluate retrospectively the effect of biochemical parameters on pulmonary dysfunction and complications in 79 overweight and obese patients. The correlative effect of biochemical values, including CRP, and spirometric measurements, such as forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1), on pulmonary dysfunction and complications in 79 overweight and obese patients seen in the outpatient clinic were evaluated. Body mass index (BMI), FEV1 and FVC, and total biochemistry values, including creatinine, AST, ALT and CRP values were correlated among each other. Results: Low FVC levels, leukocytosis, high AST and ALT levels, and comorbidities of obesity are significantly associated with high BMI values by univariate analysis in these patients. Higher AST levels are significantly correlated with higher leucocyte counts, and both AST and ALT levels are significantly correlated with platelet counts. Conclusion: We investigated the effect of biochemical parameters on pulmonary dysfunction and complications in obese patients. Obesity can be helpful to categorize high-risk patients with low FVC levels in the context of respiratory diseases and high AST and ALT levels for other comorbidities as steatohepatitis, diabetes mellitus and coronary artery disease. This study sheds light on future research on obese patients for prognosis of these diseases, because of their biochemical profile correlation with pulmonary dysfunction and complications.

Anthropometric and Biochemical Correlations of Insulin Resistance in a Middle-Aged Maltese Caucasian Population.

Insulin resistance (IR) is associated with increased cardiovascular disease risk, and with increased all-cause, cardiovascular, and cancer mortality. A number of surrogate markers are used in clinical practice to diagnose IR. The aim of this study was to investigate the discriminatory power of a number of routinely available anthropometric and biochemical variables in predicting IR and to determine their optimal cutoffs. We performed a cross-sectional study in a cohort of middle-aged individuals. We used receiver operator characteristics (ROC) analyses in order to determine the discriminatory power of parameters of interest in detecting IR, which was defined as homeostatic model assessment-insulin resistance ≥2.5. Both the lipid accumulation product (LAP) and visceral adiposity index (VAI) exhibited good discriminatory power to detect IR in both males and females. The optimal cutoffs were 42.5 and 1.44, respectively, in males and 36.2 and 1.41, respectively, in females. Serum triglycerides (TG) and waist circumference (WC) similarly demonstrated good discriminatory power in detecting IR in both sexes. The optimal cutoffs for serum TG and WC were 1.35 mmol/L and 96.5 cm, respectively, in men and 1.33 mmol/L and 82 cm, respectively, in women. On the other hand, systolic and diastolic blood pressure, liver transaminases, high-density lipoprotein cholesterol, serum uric acid, ferritin, waist-hip ratio, "A" body shape, thigh circumference, and weight-adjusted thigh circumference all had poor discriminatory power. Our data show that LAP, VAI, TG, and WC all have good discriminatory power in detecting IR in both men and women. The optimal cutoffs for TG and WC were lower than those currently recommended in both sexes. Replication studies are required in different subpopulations and different ethnicities in order to be able to update the current cut points to ones which reflect the contemporary population as well as to evaluate their longitudinal relationship with longer-term cardiometabolic outcomes.

Cytological Analysis of Thyroid lesions According to the Bethesda System for Reporting Thyroid Cytology and their Correlation with Histopathology: A Prospective Study

Introduction: Fine-needle aspiration cytology (FNAC) has a crucial role in differentiating between nonneoplasticand neoplastic lesions of the thyroid. It is a quick outpatient department (OPD) procedure. It greatlyaffects the treatment decision. The current study was done to evaluate the role of FNAC as a diagnostic tool inthyroid lesions and establish a clinico-cytological and histological correlation.Aim: To study efficacy of Bethesda system for reporting (TBSRTC) FNAC of thyroid in view of offering guidancefor patient management, for review of distribution of diagnostic categories and correlation with histopathology.Materials and Methods: It is a prospective study of thyroid lesions carried out at the Department of Pathology, CAIMS,Karimnagar over a period of 3 years (January 2020 to January 2023) A total of 303 patients of neck swelling (thyroid),with satisfactory cases on 290 patients in cytology were undertaken for histopathology. Their clinico-cytological,biochemical, and histological correlation was done only in 133 patients only. Their statistical analysis was done.Results: Majority of cases were non neoplastic. The accuracy of cytodiagnosis was 89.3% and overall malignancyrate on histopathology was 16% (37 cases).Conclusion: FNAC of lesions in thyroid gland has a high accuracy in differentiating between malignant andbenign lesions. It is safe cost effective, minimally invasive, and OPD procedure. Using FNAC as the first line ofinvestigation which streamline the reporting terminologies and the number of surgeries on thyroid lesion hasreduced greatly.

Evaluation of salinity tolerance in chickpea (Cicer arietinum): Physiological, biochemical, and yield correlations under variable salinity conditions

Evaluation of salinity tolerance in chickpea (Cicer arietinum): Physiological, biochemical, and yield correlations under variable salinity conditions

Investigating the biochemical association of gestational diabetes mellitus with dyslipidemia and hemoglobin.

To investigate the biochemical correlation of hemoglobin (Hb), dyslipidemia, and HbA1c with gestational diabetes mellitus (GDM). GDM is a condition that develops during pregnancy and is characterized by high blood sugar levels. Biochemical parameters such as hemoglobin (Hb), dyslipidemia, and HbA1c have been implicated in the development of GDM. Understanding the correlation between these biochemical parameters and GDM can provide insights into the underlying mechanisms and potential diagnostic markers for the condition. The objective of this study was to evaluate the correlation of various biochemical parameters, including Hb, dyslipidemia, and HbA1c, in pregnant women with and without GDM. A cross-sectional study design was used. Pregnant females attending a tertiary care hospital in Faisalabad between September 1st, 2021, and June 25th, 2022, were included in the study. The participants were divided into two groups: those with GDM (GDM group) and those without GDM (non-GDM group). Blood glucose, Hb, and lipid levels were compared between the two groups using statistical tests, including chi-square, independent sample t-test, and Pearson's correlation. Out of the 500 participants, 261 were in the 2nd trimester and 239 in the 3rd trimester. Maternal age showed a significant difference between the GDM and non-GDM groups. The levels of Hb, TC, HDL, LDL, and HbA1c significantly differed (p < 0.05) between the two groups. TC (r = 0.397), TG (r = 0.290), and LDL (r = 0.509) showed a statistically significant and moderately positive correlation with GDM. HDL (r = -0.394) and Hb (r = -0.294) showed a moderate negative correlation with GDM. Increased levels of HbA1c, TC, and LDL, along with decreased levels of HDL and Hb, were identified as contributing factors to GDM. The levels of TC, TG, and LDL were positively correlated with GDM, while HDL and Hb were negatively correlated. The findings of this study suggest that monitoring and managing hemoglobin, dyslipidemia, and HbA1c levels during pregnancy may be important in identifying and potentially preventing or managing GDM. Further research is needed to explore the underlying mechanisms and potential interventions targeting these biochemical parameters in relation to GDM.

The Interconnection between Carotid Intima-Media Thickness and Obesity: Anthropometric, Clinical and Biochemical Correlations.

Background and Objectives: Carotid intima-media thickness (CIMT) and obesity are considered independent determinants of cardio- and cerebrovascular events. The aim of our study was to investigate the effect of obesity on CIMT and to define which traditional cardiovascular risk factors correlate the most with CIMT values in patients with obesity. Materials and Methods: Anthropometric measurements were collected for the whole study group, as well as body composition and blood pressure data, and biochemical blood analyses were also performed. Results: Although our study group was significantly older according to vascular compared with chronological age, the mean CIMT values were lower when compared with the reference values. We found a statistically significant correlation of CIMT with chronological and vascular age, systolic blood pressure, fasting glucose, total cholesterol and triglyceride levels, waist-to-hip ratio, waist circumference, body muscle mass and skeletal muscle mass index. Atherosclerotic Cardiovascular Disease (ASCVD) risk assessment and SCORE (Systematic COronary Risk Evaluation) showed significant positive correlations, but there was only a weak correlation of ASCVD with CIMT. Conclusions: To deduce, since no diagnostic tool currently includes body weight as an individual risk factor, further trials are highly needed to determine if SCORE, SCORE2, ASCVD risk assessment or CIMT would be the most accurate and relevant diagnostic tool for prediction of risk for future CV events in patients with obesity.

Wilson's Disease: A Prevalence Study in a Portuguese Population.

Introduction Wilson's disease (WD) is a rare and underdiagnosed genetic disorder caused by anomalous tissue copper deposition, and for which epidemiological studies, specifically in Portugal, are scarce. Objectives This study aimed to evaluate the prevalence and incidence of WD and provide a description of its main clinical and laboratory features. Methods A retrospective study was carried out, with a search between 1995 and 2015, of all patients with a minimum follow-up of three months and birth confirmed in the northern region of Portugal, with an estimated population of 3,689,682 inhabitants. Database collection was based on the Portuguese National Health Service's clinical coding system, relying on clinical data from 13 northern Portuguese hospitals, liver biopsy histology results, and hospital prescription records. Clinical and biochemical correlations were statistically assessed using chi-square, Mann-Whitney U, Friedman, and Wilcoxon tests. Results Over the 20-year period, a prevalence of 1:37.000 and an incidence of one per million person-year was found. A total of 94 patients were analyzed, with a slight male predominance (53%), the majority with the onset of clinical manifestations in pediatric age (56%), with a median age at diagnosis of 16.6 years (interquartile range of 12.3-20,.8 years). Most patients presented with predominant liver disease (54.8%), with more than a third with cirrhosis; mixed hepatic and neurological manifestations in 17.9%; and mainly neurological symptoms in 10.7% of the patients. Neurological impairment was strongly associated with delayed development of the manifestations of the disease (p = 0.001) and also a higher detection of Kayser-Fleischer rings (p < 0.001), present in 27.0% of the patients. Regarding therapy, penicillamine has been the most widely used, with adverse reactions reported in 24.8%. At six and 12 months after initiation of therapy, a significant decrease in liver enzymes was found (ALT: p = 0.002; AST: p = 0.002, respectively), but no significant reduction was observed in urinary copper excretion. Conclusion This was one of the first studies regarding WD prevalence in a Portuguese population, contributing to a better understanding of the epidemiology, diagnosis, and management of WD in the northern region of Portugal. WD should be considered in any individual with unexplained hepatic or neurological manifestations, and initial symptoms may manifest at an early age, even in children less than five years old.A high percentage of patients were identified in the early stages of the disease by asymptomatic elevation of transaminases. Following copper chelation therapy, cytolysis markers appear to be more sensitive indicators of treatment response.

Nuclear magnetic resonance-biochemical correlation toward deep learning of theranosis and precision medicine

Efforts have been made to employ the nuclear magnetic resonance (NMR)-biochemical correlation concept or a combination of MR imaging (MRI) and MR spectroscopy (MRS) as an established diagnostic tool for medical practice in clinical settings. Recent reviews and meta-analyses indicate the great possibility of using integrated multimodal multiparametric MRI and MRS for deep learning (DL) of soft-tissue pathophysiology, enabling improved decision-making and disease progression monitoring in precision medicine. Recent guidelines and clinical trials suggest the need for DL of the biophysical and biochemical nature of the brain, breast, prostate, liver, and heart tissue from digital spectromics analysis, along with other molecular imaging modalities. The current opinions, based on recent recommendations, available literature on evidence-based MR spectromics, clinical trials, and meta-analyses on high-resolution MRI and MRS suggest that utilizing MRI and MRS signals as theranostic biomarkers for various soft tissues can demonstrate NMR-biochemical correlation and employ MRI with MRS as adjunct real-time tools, generating robust, and fast tissue digital images with metabolic screening. The integration of DL features can aid in evaluating patient disease diagnosis and therapy within a clinical setting, considering the available medical practices and their limitations.

Psychological, physiological, and biochemical correlations after negative emotional videos in college students with and without premenstrual syndrome.

Women with premenstrual syndrome (PMS) suffer heavily from emotional problems, the pathogenesis of which is believed to be related to the hypothalamic-pituitary-adrenal (HPA) axis, autonomic nervous system (ANS) and central nervous system (CNS). We took into account all 3 aspects to observed the psychological, physiological and biochemical correlations under anger and sadness in college students with and without PMS. 33 students with PMS and 24 healthy students participated in the emotion induction experiment, and were required to fill out self-report scales. Their salivary cortisol (SCort), skin conductivity level (SCL), heart rate variability (HRV), blood pressure (BP) and electroencephalogram (EEG) data were collected at the resting stage and 10-15 minutes after each video. Compared to healthy controls, students with PMS showed lower SCort level and higher VLF at rest, and no statistic difference in activities of ANS and HPA axis after emotional videos, but different results in EEG in all conditions. The decreases in SBP during angry video, SCort after angry and neutral videos, and increases in θ band power during sad video were moderately correlated with increases in PMS score. No intergroup differences were found in self-report emotions. Students with PMS had lower activity of HPA axis and possibly higher activity of PNS at rest, and different response patterns in CNS in all conditions. Several EEG frequencies, especially θ band, in specific encephalic regions during emotional videos, as well as declined HPA activities in dealing with angry and neutral stressors, in which γ activity in frontal lobe may play a role, showed moderate correlations with more severe PMS.

Identification of genotype–biochemical phenotype correlations associated with fructose 1,6-bisphosphatase deficiency

Fructose-1,6-bisphosphatase (FBPase) deficiency, caused by an FBP1 mutation, is an autosomal recessive disorder characterized by hypoglycemic lactic acidosis. Due to the rarity of FBPase deficiency, the mechanism by which the mutations cause enzyme activity loss still remains unclear. Here we identify compound heterozygous missense mutations of FBP1, c.491G>A (p.G164D) and c.581T>C (p.F194S), in an adult patient with hypoglycemic lactic acidosis. The G164D and F194S FBP1 mutants exhibit decreased FBP1 protein expression and a loss of FBPase enzyme activity. The biochemical phenotypes of all previously reported FBP1 missense mutations in addition to G164D and F194S are classified into three functional categories. Type 1 mutations are located at pivotal residues in enzyme activity motifs and have no effects on protein expression. Type 2 mutations structurally cluster around the substrate binding pocket and are associated with decreased protein expression due to protein misfolding. Type 3 mutations are likely nonpathogenic. These findings demonstrate a key role of protein misfolding in mediating the pathogenesis of FBPase deficiency, particularly for Type 2 mutations. This study provides important insights that certain patients with Type 2 mutations may respond to chaperone molecules.

Clinical and Biochemical Correlation of Intra-articular Platelet-Rich Plasma and Corticosteroid Using Serum Matrix Metalloproteinase 3 (MMP-3) Levels in Osteoarthritis of Knee

Clinical and Biochemical Correlation of Intra-articular Platelet-Rich Plasma and Corticosteroid Using Serum Matrix Metalloproteinase 3 (MMP-3) Levels in Osteoarthritis of Knee

Clinical, Biochemical, and Radiological Correlation in the Severity of Acute Pancreatitis: A Retrospective Study.

To analyze the etiologies and the varying clinical presentationsand to validate the clinical, biochemical, and radiological signs with severity and prognosis of acute pancreatitis. A retrospective study of 1316 patients diagnosed with acute pancreatitis in an industrial hospital inJamshedpur, Jharkhand, was conducted, and their clinicoradiological profiles, etiological factors, and outcomes were studied. A total of 1316 cases were enrolled, out of which maximum cases (411 [31.23%]) were from the age group of 30-44 years, and the mean and median age were 44.54 and47 years, respectively. A total of 731 (55.45%) patients had social habits (i.e., alcohol and smoking), and 585 (44.45%) patients did not have any social habits. Based on the etiology of acute pancreatitis (AP), the majority of cases were due to alcoholism (710 [53.95%]) followed by gallstone (343 [26.06%]) and idiopathicpancreatitis(217 [16.48%]). As per the severity of AP, most patients showed mild pancreatitis (937 [71.20%]) followed by moderate (312 [23.71%])and severe pancreatitis (67 [05.09%]). Mild and moderate pancreatitis patients were shown in 85 and 28 cases,respectively, suggestive of chronic pancreatitis after repeated episodes of AP. But severe pancreatitis shown in 19 cases had hypocalcemia + shock + multi-organ dysfunction syndrome (MODS). In mild, moderate, and severe AP, the mortality rateswere 19 (02.03%), 44 (14.10%), and 21 (31.34%), respectively. Overall, 1232 (93.62%) of AP cases recovered and were discharged in stable condition, but 84 (06.38%) cases expired. AP is a common cause of acute abdomen in patients presenting to the surgical emergency department. The management is mainly conservative with surgery limited to only a few selected cases, depending upon the severity of the disease.

Quantification of Physiological Parameters of Rice Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models

Estimating plant physiological indicators with remote sensing technology is critical for ensuring precise field management. Compared with other remote sensing platforms, low-altitude unmanned aerial vehicles (UAVs) produce images with high spatial resolution that can be used to clearly identify vegetation. However, the information of UAV image data is relatively complex and difficult to analyze, which is the main problem limiting its large-scale use at present. In order to monitor plant physiological indexes from the multi-spectral data, a new method based on machine learning is studied in this paper. Using UAV for deriving the absorption coefficients of plant canopies and whole leaf area, this paper quantifies the effects of plant physiological indicators such as the soil and plant analyzer development (SPAD) value, whole leaf area, and dry matter accumulation on the relationship between the reflectance spectra. Nine vegetation indexes were then extracted as the sensitive vegetation indexes of the rice physiological indicators. Using the SVM model to predict the SPAD value of the plant, the mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and symmetric mean absolute percentage error (SMAPE) values of the model were 1.90, 1.38, 0.13, 0.86, and 4.13, respectively. The results demonstrate that the rice plants display a considerable biochemical and spectral correlation. Using SVM to predict the SPAD value has a better effect because of a better adaptation and a higher accuracy than other models. This study suggests that the multi-spectral data acquired using UAV can quickly estimate field physiological indicators, which has potential in the pre-visual detection of SPAD value information in the field. At the same time, it can also be extended to the detection and inversion of other key variables of crops.

False positive finding on whole-body iodine-131 scan secondary to contaminated face mask: an uncommon peril in current COVID pandemic.

Covid-19 has changed the practice of present-day medicine. Social-distancing, hand-sanitation and use of face-mask are important measures taken against its spread. Post-thyroidectomy whole-body diagnostic I-131 scan is an important preliminary investigation for risk stratification and further management in thyroid cancer. False positive findings on diagnostic scan are not uncommon and must be evaluated to avoid unnecessary work-up and treatment. Clinical and biochemical correlation with adjunct SPCET/CT imaging may differentiate true from false-positive lesions. We report a case of unusual false positive linear neck tracer on whole-body diagnostic I-131 scan due to the use of an I-131 contaminated face mask.

Abstract 69

Background/ Objective: Growth hormone deficiency (GHD) is a non-exceptional cause of short stature. Hormonal evaluation and hypothalamic- pituitary MRI are essential to establish the etiological diagnostic. The objective of our study was to find out the prevalence of MRI abnormalities in patients with GHD. Secondly, to find the correlation between radiological and biochemical and clinical correlates of GHD. Materials and Methods: This isa retrospective longitudinal study of 50 patients with idiopathic GHD who underwent MRI examination at our hospital. The patients were classified into isolated GHD (IGHD) and multiple pituitary hormone deficiency (MPHD) to observe the difference in clinical, biochemical and MRI findings. Results: A total of 50 patients were included in our study of which 16 patients had MPHD while 34 patients had IGHD. Prematurity, breech delivery, neonatal jaundice, micropenis, consanguinity was more common in MPHD group as compared to IGHD group. About 19 patients (38%) had MRI abnormalities of which majority were MPHD. In patients who had severe GHD (peak GH &lt;3 ng/ml), (n = 20) 60% (n = 12) had MRI abnormalities while 7 (23.3%) patients with non-severe GHD had MRI abnormalities. Patients with height SDS &lt;-3SD are more likely to have MRI abnormalities than patients with height SDS &gt;-3SD. Conclusion: About one- third patients with GHD are likely to have MRI abnormalities of which majority patients are MPHD. There is a positive correlation between severity of GHD and presence of MRI findings. Patients with severe short stature are more likely to have MRI findings.