scholarly journals Immunocytochemistry Test of Protein BRAF Expression for Diagnosis of Well Differentiated Thyroid Carcinoma

2018 ◽  
Vol 11 (3) ◽  
pp. 843-849 ◽  
Author(s):  
I. Wayan Sudarsa ◽  
Elvis Deddy Kurniawan Pualillin ◽  
Putu Anda Tusta Adiputra ◽  
Ida Bagus Tjakra Wibawa Manuaba
Keyword(s):  
Positive Predictive Value ◽  
Thyroid Carcinoma ◽  
Negative Predictive Value ◽  
Diagnostic Test ◽  
Predictive Value ◽  
Preoperative Diagnosis ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Differentiated Thyroid Carcinoma ◽  
Inclusion Criteria

Background: Thyroid carcinoma generally has a good prognosis. The main focus of current research on thyroid carcinoma is to increase the accuracy of preoperative diagnosis of thyroid nodules. When the result of fine needle aspiration biopsy (FNAB) is indeterminate, clinicians often have doubts in determining the surgical management. Objective: Protein BRAF expression analysis can help improve the accuracy of FNAB and optimize the management of differentiated thyroid carcinoma. Methods: This study is a diagnostic test performed from October 2016 at Sanglah General Hospital with 38 patients as subjects who fulfilled the inclusion criteria. Data is being presented in descriptive form before diagnostic test is done to determine sensitivity, specificity, positive predictive value, negative predictive value and the accuracy of immunocytochemistry test for BRAF on indeterminate thyroid nodule. Results: Thirty-eight samples met the inclusion criteria during the study period. Three samples were male (7.9%) and 35 samples (92.1%) were female. The mean age of the sample was 45.21 years (SD ±10.910 years) with ages ranging from 23 to 66 years. Of the 12 samples undergoing isthmolobectomy, 7 samples (58.4%) were determined to be malignant from histopathological results. The sensitivity value of BRAF immunocytochemistry test is 45.45% with a specificity value of 81.25%, a positive predictive value of 76.92%, a negative predictive value of 52% and an accuracy of 60.50%. Analysis of the receiver operator (ROC) curve shows the area under the curve (AUC) of 63.4% with a confidence interval of 45.5–81.2%. Conclusion: Immunocytochemistry BRAF test have a reliable diagnostic value and can be taken into consideration in the preoperative diagnosis of thyroid malignancies.

scholarly journals PROCALCITONIN DAN INTERLEUKIN-6 PADA SEPSIS DENGAN GEJALA SYSTEMIC INFLAMMATORY RESPONSE SYNDROME (SIRS)

2018 ◽  
Vol 19 (2) ◽  
pp. 98
Author(s):  
Indranila KS ◽  
Tjahjati DM ◽  
Emma Emma
Keyword(s):  
Systemic Inflammatory Response Syndrome ◽  
Inflammatory Response ◽  
Positive Predictive Value ◽  
Diagnostic Test ◽  
Interleukin 6 ◽  
Predictive Value ◽  
Clinical Signs ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Systemic Inflammatory Response

Sepsis is the cause of patient’s death in the intensive care unit. Sepsis is an inflammatory response to infections. Infection whencontinued can cause systemic inflammatory response syndrome (SIRS). Clinical signs and pathology of SIRS are similar to sepsis, thusclinical as well as laboratory examination is needed to distinguish these. Culture result usually can be seen at least 24 hours aftersampling. In this case a test is needed to diagnose sepsis quickly so that the patient does not experience more severe conditions. Theindicator used in the diagnostic procedure is to know the diagnostic value of procalcitonin (PCT) levels as well as of interleukin-6 (IL-6)for the diagnosis of sepsis. Thirty-two blood samples of patients treated in the Department of SIRS. Dr. Kariadi Semarang were takenconsecutively from November 2011 up to January 2012. PCT levels are determined by ELFA, levels of IL-6 were determined by ELISAmethod. To determine the sensitivity, specificity, positive predictive value and negative predictive value, 2 × 2 table was used. The ROCcurve (receiver operating characteristic) showed an area under the curve of PCT of 0.83 (95% CI = 0.66 to 0.99), cut-off 5.1 ng/mL wasused as an indicator of sepsis. PCT diagnostic test results showed 88.9% sensitivity, 73.9% specificity, 57.1% positive predictive value andnegative predictive value of 94.4%. The area under the curve for IL-6 was 0.67 (95% CI = 0.47 to 0.86), cut off 47.2 pg/mL as an indicatorof sepsis. Diagnostic tests results showed 77.8% sensitivity, 60.9% specificity, 43.7% positive predictive value and negative predictive valueof 87.5%. It can be concluded that the examination of serum PCT levels can be used as a diagnostic test (screening test) for sepsis.

scholarly journals Added value of diffusion-weighted MRI in assessment of pleural lesions

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Youssriah Yahia Sabri ◽  
Ikram Hamed Mahmoud ◽  
Lamis Tarek El-Gendy ◽  
Mohamed Raafat Abd El-Mageed ◽  
Sally Fouad Tadros
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Diagnostic Value ◽  
Added Value ◽  
Adc Value ◽  
Pleural Diseases ◽  
Conventional Mri ◽  
Malignant Lesions

Abstract Background There are many causes of pleural disease including variable benign and malignant etiologies. DWI is a non-enhanced functional MRI technique that allows qualitative and quantitative characterization of tissues based on their water molecules diffusivity. The aim of this study was to evaluate the diagnostic value of DWI-MRI in detection and characterization of pleural diseases and its capability in differentiating benign from malignant pleural lesions. Results Conventional MRI was able to discriminate benign from malignant lesions by using morphological features (contour and thickness) with sensitivity 89.29%, specificity 76%, positive predictive value 89%, negative predictive value 76.92%, and accuracy 85.37%. ADC value as a quantitative parameter of DWI found that ADC values of malignant pleural diseases were significantly lower than that of benign lesions (P < 0.001). Hence, we discovered that using ADC mean value of 1.68 × 10-3 mm2/s as a cutoff value can differentiate malignant from benign pleural diseases with sensitivity 89.3%, specificity 100%, positive predictive value 100%, negative predictive value 81.2%, and accuracy 92.68% (P < 0.001). Conclusion Although DWI-MRI is unable to differentiate between malignant and benign pleural effusion, its combined morphological and functional information provide valid non-invasive method to accurately characterize pleural soft tissue diseases differentiating benign from malignant lesions with higher specificity and accuracy than conventional MRI.

Abstract 15233: The Lesion Length Gives a Better Effect on the Fractional Flow Reserve Than the Minimal Luminal Area in the Intermediate Coronary Artery Lesion

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Yoon Juneyoung ◽  
Xiongjie Jin ◽  
Kyong-Woo Seo ◽  
Jin-sun Park ◽  
Hyoung-Mo Yang ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Lesion Length ◽  
Visual Estimation ◽  
Luminal Area ◽  
Artery Disease

Introduction: The pressure gradient of the circulation fluid in a stenosis area depends on minimal luminal area (MLA) of the stenosis, lesion length (LL), and the fluid velocity. However, the correlation of the LL and the MLA; the cutoff values are uncertain. Hypothesis: LL and MLA differently influences the FFR. Methods: We studied 117 patients with intermediate coronary artery disease who underwent FFR and IVUS measurement out of 302 patients in FAVOR study. This study was a prospective, 1:1 randomized, open label multicenter trial to demonstrate the clinical outcomes between FFR and IVUS-guided PCI. Inclusion criteria were as follows: 1)Angina or documented silent ischemia 2) De novo intermediate coronary artery disease (30-70% diameter stenosis) by visual estimation, 3) Reference vessel diameter ≥ 3.0mm by visual estimation. We excluded left main disease, MI, EF< 40%, and graft vessel. There were no significant differences in baseline clinical characteristics. The mean values are the QCA (54.3±14.0 %), MLA (3.6±1.4 mm2) and LL (20.6±1.4mm), respectively. We were performed the path analysis using AMOS 18, and estimated the ROC curve in SPSS 18. Results: Standardized estimates were the LL -0.47,QCA -0.28 and MLA -0.21 (R2=0.594, p<0.000) in path analysis. The model is recursive and statistically significant. The FFR was ≤0.80 in 47 lesions (31%). The optimal LL for an FFR of ≤0.80 was 15.8mm (90% sensitivity, 50% specificity, 44% positive predictive value, 87% negative predictive value, area under the curve: 0.75, 95% CI: 0.66 to 0.85; p < 0.001) and MLA 3.9mm (sensitivity 86%, specificity 59%, 35% positive predictive value , 94% negative predictive value, area under the curve: 0.78, 95% CI: 0.67 to 0.85; p < 0.001) Conclusions: The lesion length influenced more the FFR than MLA. The lesion length ≥ 15.8mm and MLA ≤ 3.9mm are risk zones, which need to be confirm the functional status with FFR because of the low positive predictive value

scholarly journals Utility of the methylated SEPT9 test for the early detection of colorectal cancer: a systematic review and meta-analysis of diagnostic test accuracy

2020 ◽  
Vol 7 (1) ◽  
pp. e000355 ◽  
Author(s):  
Rohit Hariharan ◽  
Mark Jenkins
Keyword(s):  
Colorectal Cancer ◽  
Systematic Review ◽  
Early Detection ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Diagnostic Test ◽  
Predictive Value ◽  
Meta Analysis ◽  
Test Accuracy ◽  
Sensitivity Specificity

BackgroundCirculating tumour DNA from colorectal cancer (CRC) is a biomarker for early detection of the disease and therefore potentially useful for screening. One such biomarker is the methylated SEPT9 (mSEPT9) gene, which occurs during CRC tumourigenesis. This systematic review and meta-analysis aims to establish the sensitivity, specificity and accuracy of mSEPT9 tests for the early diagnosis of CRC.MethodsA systematic search of the relevant literature was conducted using Medline and Embase databases. Data were extracted from the eligible studies and analysed to estimate pooled sensitivity, specificity and diagnostic test accuracy.ResultsBased on 19 studies, the pooled estimates (and 95% CIs) for mSEPT9 to detect CRC were: sensitivity 69% (62–75); specificity 92% (89–95); positive likelihood ratio 9.1 (6.1–13.8); negative likelihood ratio 0.34 (0.27–0.42); diagnostic OR 27 (15–48) and area under the curve 0.89 (0.86–0.91). The test has a positive predictive value of 2.6% and negative predictive value of 99.9% in an average risk population (0.3% CRC prevalence), and 9.5% (positive predictive value) and 99.6% (negative predictive value) in a high-risk population (1.2% CRC prevalence).ConclusionThe mSEPT9 test has high specificity and moderate sensitivity for CRC and is therefore a potential alternative screening method for those declining faecal immunochemical test for occult blood (FIT) or other screening modalities. However, it is limited by its poor diagnostic performance for precancerous lesions (advanced adenomas and polyps) and its relatively high costs, and little is known about its acceptability to those declining to use the FIT.

scholarly journals Diagnostic Value of Different Biomarkers to Identify Bacterial Coinfection in Vietnamese Children with Severe Rhinovirus Pneumonia

2020 ◽  
Vol 10 (01) ◽  
pp. e25-e31
Author(s):  
Hien Thu Pham ◽  
Tran Thi Ngoc Nguyen ◽  
Ngo Thi Tam
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Severe Pneumonia ◽  
Diagnostic Value ◽  
Optimal Cutoff ◽  
Optimal Cutoff Point ◽  
Hs Crp ◽  
Bacterial Coinfection ◽  
Children Under 5

AbstractThis study aims to assess the diagnostic value of high-sensitivity C-reactive protein (hs-CRP), procalcitonin (PCT), and interleukin (IL)-6 in the diagnosis of pneumonia caused by Rhinovirus alone or with bacterial coinfection in Vietnamese children under 5 years of age. A cross-sectional study was conducted on 26 children under 5 years of age with severe pneumonia due to Rhinovirus at the National Pediatric Hospital. IL-6, hs-CRP, and PCT tests were performed. The diagnostic values of PCT, IL-6, and hs-CRP in classifying those with viral alone and those with bacterial coinfection were determined. Of 26 children, 10 children were diagnosed to have bacterial coinfections (38.5%). The optimal cutoff point for PCT was > 2.30 ng/mL (sensitivity 50%, specificity 94%, positive predictive value 83%, and negative predictive value 75%). The optimal cutoff point for hs-CRP was > 1.53 mg/dl (sensitivity 90%, specificity 56%, positive predictive value 56%, and negative predictive value 90%). Finally, the optimal cut-off point for IL-6 was > 441.5 pg/mL (sensitivity 20%, specificity 100%, positive predictive value 100%, and negative predictive value 60%). The accuracy rate of PCT was the highest with 69.2%, followed by hs-CRP with 65.4%. Inflammatory biomarkers such as PCT and hs-CRP were able to distinguish children with severe pneumonia caused by Rhinovirus alone and those with bacterial coinfection.

scholarly journals Investigating the impact of disease and health record duration on the eMERGE algorithm for rheumatoid arthritis

2020 ◽  
Vol 27 (4) ◽  
pp. 601-605
Author(s):  
Vanessa L Kronzer ◽  
Liwei Wang ◽  
Hongfang Liu ◽  
John M Davis ◽  
Jeffrey A Sparks ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Index Date ◽  
Model Performance ◽  
Area Under The Curve ◽  
Population Based ◽  
Health Record ◽  
The Impact

Abstract Objective The study sought to determine the dependence of the Electronic Medical Records and Genomics (eMERGE) rheumatoid arthritis (RA) algorithm on both RA and electronic health record (EHR) duration. Materials and Methods Using a population-based cohort from the Mayo Clinic Biobank, we identified 497 patients with at least 1 RA diagnosis code. RA case status was manually determined using validated criteria for RA. RA duration was defined as time from first RA code to the index date of biobank enrollment. To simulate EHR duration, various years of EHR lookback were applied, starting at the index date and going backward. Model performance was determined by sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve (AUC). Results The eMERGE algorithm performed well in this cohort, with overall sensitivity 53%, specificity 99%, positive predictive value 97%, negative predictive value 74%, and AUC 76%. Among patients with RA duration &lt;2 years, sensitivity and AUC were only 9% and 54%, respectively, but increased to 71% and 85% among patients with RA duration &gt;10 years. Longer EHR lookback also improved model performance up to a threshold of 10 years, in which sensitivity reached 52% and AUC 75%. However, optimal EHR lookback varied by RA duration; an EHR lookback of 3 years was best able to identify recently diagnosed RA cases. Conclusions eMERGE algorithm performance improves with longer RA duration as well as EHR duration up to 10 years, though shorter EHR lookback can improve identification of recently diagnosed RA cases.

scholarly journals Waist-to-height ratio as index of cardiometabolic risk among the doctors

2017 ◽  
Vol 10 (4) ◽  
pp. 251
Author(s):  
Miliva Mozaffor ◽  
Md. Matiur Rahman ◽  
Mariya Tabassum ◽  
Forhadul Hoque Mollah
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Cardiometabolic Risk ◽  
Area Under The Curve ◽  
Age Group ◽  
Height Ratio ◽  
Waist To Height Ratio

<p>The aim of this study was to see the cardiometabolic risk among doctors using waist-to-height ratio index as tool. Cardiometabolic risk is an umbrella term that includes all the risk factors of diabetes and cardiovascular disease. The study was conducted among 195 doctors. According to waist-to-height ratio index 167 (85.6%) doctors had cardiometabolic risk. Waist-to-height ratio index was found good (area under the curve &gt;0.5, sensitivity 88.1%, specificity 23.2%, positive predictive value 53.9%, and negative predictive value 66.7%) for their predictive value of cardiometabolic risk. Age grouping was done and found that no age group was free from cardiometabolic risk.</p>

scholarly journals Role of ascitic fluid adenosine deaminase (ADA) and serum CA-125 in the diagnosis of tuberculous peritonitis

2015 ◽  
Vol 40 (3) ◽  
pp. 89-91 ◽  
Author(s):  
N Ali ◽  
NC Nath ◽  
R Parvin ◽  
A Rahman ◽  
TM Bhuiyan ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Diagnostic Test ◽  
Ascitic Fluid ◽  
Predictive Value ◽  
Ca 125 ◽  
Histopathological Diagnosis ◽  
Diagnostic Modality ◽  
Cross Sectional

This cross sectional study was carried out in the department of gastroenterology, BIRDEM, Dhaka from January 2010 to May 2011 to determine the role of ascitic fluid ADA and serum CA-125 in the diagnosis of clinically suspected tubercular peritonitis. Total 30 patients (age 39.69±21.26, 18M/12F) with clinical suspicion of tuberculosis peritonitis were included in this study after analyzing selection criteria. Laparoscopic peritoneal biopsy with ‘histopathological diagnosis’ was considered gold standard against which accuracics of two biomarkers (ADA & CA-125) were compared. Cut off value of ADA and CA-125 are 24 u/l, 35 U/ml respectively. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of ADA as a diagnostic modality in tuberculos peritonitis were 87.5%, 83.33%, 95.45%, 62.5% and 86.67% respectively where as CA-125 was found to have 83.33% sensitivity, 50% specificity, 86.9% positive predictive value, 42.85% negative predictive value and 76.6% accuracy. Both biomarkers are simple, non-invasive, rapid and relatively cheap diagnostic test where as laparoscopy is an invasive procedure, costly & requires trained staff and not without risk and also not feasible in all the centre in our country. So ascitic fluid ADA and serum CA-125 are important diagnostic test for peritoneal tuberculosis.Bangladesh Med Res Counc Bull 2014; 40 (3): 89-91

Comparative Analysis of Diagnostic Value for Shear Wave Elastography and Real-Time Elastographic Imaging for Thyroid Nodules

2019 ◽  
Vol 9 (2) ◽  
pp. 334-338
Author(s):  
Qing Yang ◽  
Wenhong Zhou ◽  
Jiyu Li ◽  
Guojun Wu ◽  
Feng Ding ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Shear Wave ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
Shear Wave Elastography ◽  
Roc Curves ◽  
Diagnostic Value ◽  
Sensitivity Specificity

Objective: To compare the diagnostic value of shear wave elastography (SWE) and real-time elastography (RTE) in the diagnosis of benign and malignant thyroid nodules. Methods: A total of 34 patients who ever received thyroidectomy in our hospital from January 2016 to January 2018 were identified. Meanwhile, all the patients received SWE and RTE before surgery, and all the diagnoses were confirmed by pathological examinations. With respect to SWE technique, the Subject Operating Characteristics (ROC) curves were drawn, in order to obtain the optimal threshold and then make differential diagnoses of benign and malignant thyroid nodules. In terms of RTE, the Rago 5 scoring method was utilized to make differential diagnoses of benign and malignant thyroid nodules. Besides, the pathological examinations after surgery could be considered as the golden standard. At last, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of SWE and RTE were calculated, respectively. Results: A total of 51 thyroid nodules were identified, and 41 nodules were benign, 10 nodules were malignant. On the basis of ROC curves, with respect to SWE, the best threshold for differential diagnosis of benign and malignant thyroid nodules is 38.3 kPa. The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of SWE were 72.7% (8/11), 85% (34/40), 82.4% (42/51), 68.4% (13/19), and 87.5% (35/40), respectively. And the diagnostic indicators of RTE were 81.8% (9/11), 87.5% (35/40), 84.3% (43/51), 73.7% (14/19), and 90.0% (36/40). The sensitivity of quasi-static elastography in differential diagnosis of benign and malignant thyroid nodules with diameter ≤1 cm was 87.5% (7/8), and the sensitivity of SWE was 50.0% (5/10). In addition, the accuracy of SWE in differential diagnosis of benign and malignant thyroid nodules with diameter ≥3 cm was 100% (6/6), and the accuracy of RTE for this kind of thyroid nodules was 66.7% (4/6). Conclusion: Both SWE and RTE technology have good application value in differential diagnosis of benign and malignant thyroid nodules. But, SWE is preferable when making diagnosis of benign and malignant thyroid nodules with diameter ≥3 cm, and RTE was superior in detecting benign and malignant thyroid nodules with diameter ≤1 cm.

scholarly journals Ruling out septic arthritis risk in a few minutes using mid-infrared spectroscopy in synovial fluids

Rheumatology ◽  
2020 ◽  
Author(s):  
Jean-David Albert ◽  
Maëna Le Corvec ◽  
Olivia Berthoud ◽  
Claire David ◽  
Xavier Guennoc ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Septic Arthritis ◽  
Negative Predictive Value ◽  
Risk Score ◽  
Predictive Value ◽  
Evanescent Wave ◽  
Area Under The Curve ◽  
Independent Set ◽  
Mid Infrared ◽  
Multicentre Cohort

Abstract Objectives The aim of this study was to show the usefulness of a mid-infrared fibre evanescent wave spectroscopy point of care device in the identification of septic arthritis patients in a multicentre cohort, and to apply this technology to clinical practice among physicians. Methods SF samples from 402 patients enrolled in a multicentre cohort were frozen for analysis by mid-infrared fibre evanescent wave spectroscopy. The calibration cohort was divided into two groups of patients (septic arthritis and non-septic arthritis) and relevant spectral variables were used for logistic regression model. Model performances were tested on an independent set of 86 freshly obtained SF samples from patients enrolled in a single-centre acute arthritis cohort and spectroscopic analyses performed at the patient’s bedside. Results The model set-up, using frozen–thawed SFs, provided good performances, with area under the curve 0.95, sensitivity 0.90, specificity 0.90, positive predictive value 0.41 and negative predictive value 0.99. Performances obtained in the validation cohort were area under the curve 0.90, sensitivity 0.92, specificity 0.81, positive predictive value 0.46 and negative predictive value 0.98. The septic arthritis probability has been translated into a risk score from 0 to 4 according to septic risk. For a risk score of 0, the probability of identifying a septic patient is very low (negative predictive value of 1), whereas a risk score of 4 indicates very high risk of septic arthritis (positive predictive value of 1). Conclusion Mid-infrared fibre evanescent wave spectroscopy could distinguish septic from non-septic synovial arthritis fluids with good performances, and showed particular usefulness in ruling out septic arthritis. Our data supports the possibility of technology transfer. Trial registration ClinicalTrials.gov, http://clinicaltrials.gov, NCT02860871.

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