scholarly journals Renal Collecting System Anatomy in Living Kidney Donors by Computed Tomographic Urography: Protocol Accuracy Compared to Intravenous Pyelographic and Surgical Findings

2016 ◽  
Vol 6 ◽  
pp. 1
Author(s):  
Mohammad Kazem Tarzamni ◽  
Nariman Nezami ◽  
Afshar Zomorrodi ◽  
Samad Fathi-Noroozlou ◽  
Reza Piri ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Cross Sectional Study ◽  
Kappa Coefficient ◽  
Cross Sectional ◽  
Kidney Donors ◽  
Living Kidney Donors ◽  
Computed Tomographic ◽  
Computed Tomography Urography ◽  
Collecting System ◽  
Urinary Collecting System

Objectives: To evaluate the accuracy of triple-bolus computed tomography urography (CTU) as a surrogate of intravenous pyelography (IVP) for determining the anatomy of the urinary collecting system in living kidney donors. Materials and Methods: In an analytic descriptive cross-sectional study, 36 healthy kidney donors were recruited during 12 months. Preoperative IVP and CTU were utilized to evaluate kidneys’ anatomy; major and minor calyces and variation were used as anatomical indices to compare the accuracy of CTU and IVP; the images were then compared to surgical findings. Results: Thirty-six kidney donors (92% male; mean age: 28 ± 6 years) were enrolled in this study. The kappa coefficient value was significant and almost perfect for the CTU and IVP findings in detecting the pattern of calyces (kappa coefficient 0.92, asymptotic 95% confidence interval 0.86–0.97). Anatomic variations or anomalies of the urinary collecting system included the bifid pelvis (5.6%), duplication (8.3%), and extra-renal pelvis (2.8%). Both the sensitivity and specificity of CTU in the detection of the anatomy and variations were 100%; the sensitivity and specificity of IVP were 83.3% and 100%, respectively. Conclusions: The triple-bolus preoperative CTU can be considered an alternative to IVP for assessing the anatomy of the urinary collecting system.

scholarly journals Association between Odontogenic and Maxillary Sinus Conditions: A Retrospective Cone-Beam Computed Tomographic Study

2021 ◽  
Vol 10 (13) ◽  
pp. 2849
Author(s):  
Piotr Kuligowski ◽  
Aleksandra Jaroń ◽  
Olga Preuss ◽  
Ewa Gabrysz-Trybek ◽  
Joanna Bladowska ◽  
...  
Keyword(s):  
Bone Loss ◽  
Maxillary Sinus ◽  
Mucous Membrane ◽  
Maxillary Sinusitis ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Odontogenic Infections ◽  
Computed Tomographic ◽  
Periodontal Bone Loss ◽  
Maxillary Sinuses

Odontogenic infections can directly trigger maxillary sinusitis. CBCT is an excellent choice for precise examination of maxillary sinuses and hard tissues within the oral cavity. The objective of this retrospective and the cross-sectional study was to analyze the influence of odontogenic conditions on the presence and intensity of maxillary sinus mucous membrane thickening using CBCT imaging. Moreover, periodontal bone loss and anatomic relationship between adjacent teeth and maxillary sinuses were assessed to evaluate its possible impact on creating maxillary thickening. The study sample consisted of 200 maxillary sinuses of 100 patients visible on CBCT examination with a field of view of 13 × 15 cm. The presented study revealed a significant influence of periapical lesions, inappropriate endodontic treatment, severe caries, and extracted teeth on the presence of increased thickening of maxillary sinus mucous membrane. In addition, an increase in the distance between root apices and maxillary sinus floor triggered a significant reduction of maxillary sinus mucous membrane thickening. The presence of periodontal bone loss significantly increases maxillary sinus mucous membrane thickening.

scholarly journals Role of CT (Computed Tomography) in the Evaluation of Fungal Diseases in Paranasal Sinus

2014 ◽  
Vol 31 (4) ◽  
pp. 189-193
Author(s):  
T Islam ◽  
SA Azad ◽  
ME Karim ◽  
L Khondker ◽  
K Rahman
Keyword(s):  
Fungal Infection ◽  
Ct Scan ◽  
Paranasal Sinus ◽  
Predictive Value ◽  
Cross Sectional Study ◽  
Fungal Diseases ◽  
Cross Sectional ◽  
Computed Tomographic ◽  
Histopathological Result

A cross sectional study carried out with patients having suspected paranasal sinus (PNS) mass during January 2009 to October 2010 to evaluate the fungal diseases in PNS by computed tomographic(CT) image and comparison of the findings of this modality with histopathological result. Among the total 76 patients, the mean age of the patients was 35.95 ± 18.24 and common complaints of the patients were nasal obstruction (73.7%) and maximum 53.9% patients had PNS mass in maxillary sinuses. Out of all cases 10 were diagnosed as having fungal infection/mass by CT scan and confirmed by histopathological evaluation. Two cases were diagnosed as having fungal infection/mass by CT scan but not confirmed by histopathological findings. Of 64 cases of other than fungal infection/mass, which were diagnosed by CT scan, six were confirmed as having fungal infection/mass and 58 were other than having fungal infection/mass by histopathology. Sensitivity of CT scan to diagnose fungal infection/mass was 62.5%, specificity 96.7%, positive predictive value 83.3%, negative predictive value 90.6% and accuracy 89.5%. CT scan of the fungal diseases in paranasal sinus provides more information and better image quality and CT diagnosis correlate well with the findings of histopathology. DOI: http://dx.doi.org/10.3329/jbcps.v31i4.21002 J Bangladesh Coll Phys Surg 2013; 31: 189-193

scholarly journals Maternal Pregnancy Associated Plasma Protein-A Levels in Late First Trimester as a Predictor of Miscarriage- A Cross-sectional Study

2021 ◽  
Author(s):  
Nivedita Sinha ◽  
Alpana Singh ◽  
BD Banerjee ◽  
Rachna Agarwal ◽  
Himsweta Srivastva
Keyword(s):  
Logistic Regression ◽  
Sensitivity And Specificity ◽  
Plasma Protein ◽  
Protein A ◽  
Predictive Marker ◽  
First Trimester ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Asymptomatic Women

Indroduction: Miscarriage is the most common complication of pregnancy. Defective implantation is one of the common causes of miscarriage. Pregnancy Associated Plasma Protein-A (PAPP-A) is secreted from syncytiotrophoblast and it enables trophoblast invasion. Few studies have shown association of PAPP-A with miscarriage. However, there is limited data available to establish the role of PAPP-A as a predictive marker of miscarriage, especially in Indian population. Aim: To determine the potential of maternal PAPP-A level estimation in asymptomatic women in late first trimester (10-13 weeks) with viable foetus in predicting subsequent miscarriage. Materials and Methods: This was an observational, cross-sectional study conducted from November 2016 to April 2018 at University College of Medical Science and Guru Teg Bahadur Hospital, Delhi, India. Asymptomatic pregnant women (N=500) at 10-13 weeks of gestation were recruited from an antenatal clinic after confirmation of foetal viability. A 2 mL of blood sample was collected and serum PAPP-A level was measured. Independent t-test and Chi-square test was used to compare continuous data and Mann-Whitney U test was used to compare PAPP-A Multiple of Median (MOM). Logistic regression was used to estimate risk of miscarriage. Results: Out of 500 participants, 9 were lost to follow-up. From remaining N=491, 32 (6.5%) women had a miscarriage. PAPP-A levels were significantly decreased in miscarriage group compared to ongoing pregnancy group with median MOM 0.116 (0.080-0.17) and 1.25 (0.665-3.249) respectively (p-value <0.001). PAPP-A MOM value of ≤10th percentile sensitivity and specificity of detection of miscarriage was 81.25% and 94.98% and at ≤5th percentile sensitivity and specificity was 40.62% and 97.82%, respectively. Lower the percentile cut-off of serum PAPP-A value, higher was the specificity and positive predictive value for prediction of miscarriage. By applying logistic regression we found that if PAPP-A MOM decreases by 1 unit the chances of miscarriage increased by 1.2 times. By this model 63.2% of cases could be explained (Nagelkerke R Square=0.632). For prediction of pregnancies likely to miscarry, the area under Receiver Operator Characteristic (ROC) curve (95% CI) was 0.969 (0.955-0.983). Conclusion: Low serum PAPP-A levels from asymptomatic women in late 1st trimester is a good predictive marker of miscarriage.

scholarly journals Diagnostic Methods of Metabolic Syndrome in Children

2019 ◽  
Author(s):  
Shahin Koohmanaee ◽  
Afagh Hassanzadeh Rad ◽  
Seyyedeh Forough Jafari ◽  
Marjaneh Zarkesh ◽  
Ehsan Kazemnejad Leili ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cross Sectional Study ◽  
Kappa Coefficient ◽  
Diagnostic Methods ◽  
Descriptive Statistics ◽  
Public Health Care ◽  
Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Coefficient Corrélation

Abstract- We aimed to define Metabolic Syndrome (METs) from different viewpoints to determine the most appropriate method that could be used for early METs' diagnosis in general population and treat them immediately. This study was an analytic cross-sectional study which was conducted on 725, twelve year-old-girls and boys from Rasht city in Iran. METs was defined based on 7 different methods. Data were reported by descriptive statistics (number, percent, mean, and standard deviation) and analyzed by Cohen's kappa coefficient correlation and chi-square in SPSS version 19. The highest and lowest percentages of METs were obtained by DE Ferranti (17.5%) and viner et al., (0.8%) methods, respectively. Results showed that viner et al., had the highest degree of agreement with NCEP ATPIII and the lowest with DE Ferranti. Furthermore, De Ferranti showed the highest degree of agreement with NHANESIII and the lowest with Viner et al., According to results, the identification of the cut off points of obesity could help to promote public health care.

scholarly journals Simple, Mobile-based Artificial Intelligence Algorithm in the detection of Diabetic Retinopathy (SMART) study

2020 ◽  
Vol 8 (1) ◽  
pp. e000892 ◽  
Author(s):  
Bhavana Sosale ◽  
Sosale Ramachandra Aravind ◽  
Hemanth Murthy ◽  
Srikanth Narayana ◽  
Usha Sharma ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Diabetic Retinopathy ◽  
Sensitivity And Specificity ◽  
Smart Phone ◽  
High Sensitivity ◽  
Ground Truth ◽  
Cross Sectional Study ◽  
Retinal Images ◽  
Cross Sectional ◽  
Smart Study

IntroductionThe aim of this study is to evaluate the performance of the offline smart phone-based Medios artificial intelligence (AI) algorithm in the diagnosis of diabetic retinopathy (DR) using non-mydriatic (NM) retinal images.MethodsThis cross-sectional study prospectively enrolled 922 individuals with diabetes mellitus. NM retinal images (disc and macula centered) from each eye were captured using the Remidio NM fundus-on-phone (FOP) camera. The images were run offline and the diagnosis of the AI was recorded (DR present or absent). The diagnosis of the AI was compared with the image diagnosis of five retina specialists (majority diagnosis considered as ground truth).ResultsAnalysis included images from 900 individuals (252 had DR). For any DR, the sensitivity and specificity of the AI algorithm was found to be 83.3% (95% CI 80.9% to 85.7%) and 95.5% (95% CI 94.1% to 96.8%). The sensitivity and specificity of the AI algorithm in detecting referable DR (RDR) was 93% (95% CI 91.3% to 94.7%) and 92.5% (95% CI 90.8% to 94.2%).ConclusionThe Medios AI has a high sensitivity and specificity in the detection of RDR using NM retinal images.

Sensitivity and Specificity of Maternal Anthropometric Measures Relative to Infant Nutritional Status

1997 ◽  
Vol 9 (1) ◽  
pp. 38-41
Author(s):  
Nugroho Abikusno ◽  
Rachel Novotny
Keyword(s):  
Nutritional Status ◽  
Positive Predictive Value ◽  
Sensitivity And Specificity ◽  
Predictive Value ◽  
Cross Sectional Study ◽  
Maternal Weight ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Poor Nutritional Status ◽  
Weight For Age

This cross-sectional study was done in July 1990 at health posts of two subdistricts in Cilandak, South Jakarta, Indonesia. The purpose of this study was to assess the sensitivity and specificity of maternal anthropometric measures against the functional outcome of infant nutritional status (weight-for-age). The study population consisted of 175 mother-infant pairs, who were between 14-45 years old, and their infants, who were 0-6 months old. The indicators that identified women at risk of their infant being poor nutritional status (weight-for-age less than −1 SD) were maternal weight (sensitivity 33%, specificity 89%, and positive predictive value 26%), height (sensitivity 39%, specificity 83% and positive predictive value 21%), and calf circumference (sensitivity 50%, specificity 85% and positive predictive value 28%).

scholarly journals Sensitivitas dan spesifisitas food consumption score dalam mengidentifikasi rawan pangan dengan parameter status gizi balita

2018 ◽  
Vol 6 (2) ◽  
pp. 102-108
Author(s):  
Aklesta Leni Firna ◽  
Azis Nur Bambang ◽  
Diana Nur Afifah
Keyword(s):  
Food Insecurity ◽  
Food Consumption ◽  
Sensitivity And Specificity ◽  
Food Access ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Specificity Test ◽  
Food Consumption Score ◽  
Precision And Accuracy

Background : Food consumption score (FCS) was one of indicators to measure the food insecurity that included some elements from food access and food consumption, but the sensitivity was different in each area so it was needed to do the sensitivity and specificity tests with the high precision and accuracy of parameter. Objectives : To do the sensitivity and specificity test of food consumption score to identify the food insecurity with parameter status of toddlers’ nutrition anthropometrically. Methods : Cross sectional study with total subjects 517 toddlers. Status of toddlers’ nutrition was counted according to zscore WHZ, WAZ, and HAZ. The FCS score was counted according to WFP formula.  Results : Sensitivity (Se) and specificity (Sp) FCS test with parameter of WHZ, WAZ, HAZ as followed Se=0 Sp=  ≥ 90%. Conclusion: The cut-off point of FCS that was set by WFP was non-sensitive in identifying the food insecurity with parameter status of toddlers’ nutrition.

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