scholarly journals Role of complementary cytology, colposcopy and histopathology in detecting premalignant and malignant lesions of cervix

2016 ◽  
Author(s):  
Akanksha Mangla ◽  
Renuka Sinha
Keyword(s):  
Predictive Value ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Cross Sectional Study ◽  
High Grade ◽  
Cervical Lesions ◽  
Cross Sectional ◽  
Positive Rate ◽  
Sensitivity Specificity

Objective: Cervical cancer is the second most common gynecologic malignancy worldwide. India alone accounts for one fifth of total number of cases worldwide. The aim of our study was to calculate sensitivity, specificity, positive predictive value, negative predictive value, false positive rate and false negative rate of complementary cytology and colposcopy with histopathology as gold standard for detection of premalignant and malignant cervical lesions. Methods: A cross sectional study was conducted at Vardhman Mahavir Medical College and Safdarjung hospital, Delhi, India. 100 non pregnant females with complaint of post coital or irregular vaginal bleeding and those who had unhealthy cervix on visual inspection were included in study. Results: Colposcopy exhibited a high degree of accuracy in diagnosis of high grade lesions. Overall sensitivity of cytology was 50% whereas that of colposcopy was 83.3%. Cytology had specificity of 93.4% whereas colposcopy had specificity of 89.4%. 100% of high grade and invasive cancers on colposcopy were associated with similar findings on histology. The degree of agreement between cytology and colposcopy with histology was significant (p<0.001). Conclusion: Colposcopy is sensitive method as compared to cytology, especially in the higher grade lesions and combination of both methods appears to be of higher diagnostic importance.

Empirical mean curve decomposition with multiwavelet transformation for eye movements recognition using electrooculogram signals

2020 ◽  
Vol 234 (8) ◽  
pp. 794-811
Author(s):  
Harikrishna Mulam ◽  
Malini Mudigonda
Keyword(s):  
Neural Network ◽  
Eye Movements ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Principal Component ◽  
The Neural Network ◽  
Marquardt Algorithm ◽  
Positive Rate ◽  
Sensitivity Specificity

Many research works are in progress in classification of the eye movements using the electrooculography signals and employing them to control the human–computer interface systems. This article introduces a new model for recognizing various eye movements using electrooculography signals with the help of empirical mean curve decomposition and multiwavelet transformation. Furthermore, this article also adopts a principal component analysis algorithm to reduce the dimension of electrooculography signals. Accordingly, the dimensionally reduced decomposed signal is provided to the neural network classifier for classifying the electrooculography signals, along with this, the weight of the neural network is fine-tuned with the assistance of the Levenberg–Marquardt algorithm. Finally, the proposed method is compared with the existing methods and it is observed that the proposed methodology gives the better performance in correspondence with accuracy, sensitivity, specificity, precision, false positive rate, false negative rate, negative predictive value, false discovery rate, F1 score, and Mathews correlation coefficient.

scholarly journals Distribution of pathologic smear results and histopathologic agreement in precancerous cervical lesions

2020 ◽  
pp. 1
Author(s):  
Eser Colak ◽  
Esra Zeynep Coskunoglu
Keyword(s):  
Pap Smear ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Young Patients ◽  
Cost Effective ◽  
High Grade ◽  
Cervical Lesions ◽  
Histopathological Correlation ◽  
Epithelial Lesions

<p><strong>OBJECTIVES:</strong> The accuracy of the Papanicolau smear test is very important in cervical cancer which is preventable cancer. In this study, we aimed to investigate the distribution of smear results and cyto-histopathological correlation and agreement in biopsies.</p><p><strong>STUDY DESIGN:</strong> A retrospective study was performed at the gynecology obstetrics and pathology department of Baskent University Konya Application and Research Hospital, over a 5-year period. The histopathology results of 89 patients who underwent colposcopic biopsy from 273 patients with pathologic Pap smear results were examined. The histopathologic results and pathologic Pap smear results were compared and the compatibility between them was examined.</p><p><strong>RESULTS:</strong> Data records were collected for 11,191 women. Overall, the prevalence of cytologic abnormalities was 2.43%. The cytohistopathologic correlation in epithelial lesions was 56% and was statistically significant. In glandular lesions, normal biopsy results were reported in 93% of AGC-NOS cytology results, whereas there was a 100% malignancy correlation with AGC-FN cytology results. In terms of detecting low and high-grade lesions, the false-negative rate was 12% and the false-positive rate was 17%.</p><p><strong>CONCLUSION:</strong> In conclusion, Pap smears can be less cost-effective and easily accessible method. While conservative treatment is appropriate in young patients because of possible regression even in high-grade lesions; in older patients, it should not be hesitated to get biopsy when a suspicious clinic is present.</p>

scholarly journals Evaluation of GeneXpert MTB/RIF for detecting Mycobacterium tuberculosis in a hospital in China

2017 ◽  
Vol 45 (2) ◽  
pp. 816-822 ◽  
Author(s):  
Tingyu Tang ◽  
Fang Liu ◽  
Xiaoling Lu ◽  
Qingdong Huang
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Predictive Value ◽  
Rate Sensitivity ◽  
Turnaround Time ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Significant Difference ◽  
Kappa Value ◽  
Positive Rate ◽  
Sensitivity Specificity

Objective To evaluate the performance of GeneXpert MTB/RIF in diagnosing pulmonary tuberculosis (TB) in China. Methods This cross-sectional study included sputum specimens of 240 suspected TB cases. Specimens were examined by light microscopy for the presence of acid-fast bacilli, which were cultured by the BACTEC MGIT 960 (M960) system and detected by the GeneXpert MTB/RIF assay. The positive rate, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and average turnaround time of methods were evaluated. Results The positive rate was 36.6% (87/238) for the GeneXpert MTB/RIF assay and 34.0% (81/238) by M960 culture, with no significant difference between methods (χ2 = 0.33, p > 0.05). According to culture results, sensitivity of the GeneXpert MTB/RIF assay was 84.0% (68/81), specificity was 87.8% (129/147), the PPV was 78.2% (68/87), and the NPV was 87.2% (129/148). The agreement for results between Gene Xpert MTB/RIF and the M960 system was 82.8% and the Kappa value was 0.73. Conclusion The GeneXpert MTB/RIF assay is a simple, rapid, and accurate test for detecting Mycobacterium tuberculosis in sputum specimens.

EOG-based eye movement recognition using GWO-NN optimization

2020 ◽  
Vol 65 (1) ◽  
pp. 11-22
Author(s):  
Harikrishna Mulam ◽  
Malini Mudigonda
Keyword(s):  
Eye Movement ◽  
Recognition Performance ◽  
Error Function ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Movement Recognition ◽  
Positive Rate ◽  
Sensitivity Specificity ◽  
Novel Model

AbstractIn recent times, the control of human-computer interface (HCI) systems is triggered by electrooculography (EOG) signals. Eye movements recognized based on the EOG signal pattern are utilized to govern the HCI system and do a specific job based on the type of eye movement. With the knowledge of various related examinations, this paper intends a novel model for eye movement recognition based on EOG signals by utilizing Grey Wolf Optimization (GWO) with neural network (NN). Here, the GWO is used to minimize the error function from the classifier. The performance of the proposed methodology was investigated by comparing the developed model with conventional methods. The results reveal the loftier performance of the adopted method with the error minimization analysis and recognition performance analysis in correspondence with varied performance measures such as accuracy, sensitivity, specificity, precision, false-positive rate (FPR), false-negative rate (FNR), negative predictive value (NPV), false discovery rate (FDR) and the F1 score.

scholarly journals Evaluating the usefulness of breast strain elastography for intraductal lesions

2021 ◽  
Author(s):  
Yumi Kokubu ◽  
Keiko Yamada ◽  
Masahiko Tanabe ◽  
Ayumi Izumori ◽  
Chieko Kato ◽  
...  
Keyword(s):  
False Positive ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Intraductal Papilloma ◽  
Breast Diseases ◽  
Strain Elastography ◽  
Negative Rate ◽  
Positive Rate ◽  
Sensitivity Specificity

Abstract Purpose Strain elastography for imaging lesion stiffness is being used as a diagnostic aid in the malignant/benign discrimination of breast diseases. While acquiring elastography in addition to B-mode images has been reported to help avoid performing unnecessary biopsies, intraductal lesions are difficult to discriminate whether they are malignant or benign using elastography. An objective evaluation of strain in lesions was performed in this study by measuring the elasticity index (E-index) and elasticity ratio (E-ratio) of lesions as semi-quantitative numerical indicators of the color distribution of strain. We examined whether ductal carcinoma in situ (DCIS) and intraductal papilloma could be distinguished using these semi-quantitative numerical indicators. Methods In this study, 170 ultrasonographically detected mass lesions in 162 cases (106 malignant lesions and 64 benign lesions)—in which tissue biopsy by core needle biopsy and vacuum-assisted biopsy, or surgically performed histopathological diagnosis, was performed—were selected as subjects from among 1978 consecutive cases (from January 2014 to December 2016) in which strain elastography images were acquired, in addition to standard B-mode breast ultrasonography, by measuring the E-index and E-ratio. Results The cut-off values for E-index and E-ratio in the malignant/benign discrimination of breast lesions were determined to be optimal values at 3.5 and 4.2, respectively, based on receiver operating characteristic (ROC) curve analysis. E-index sensitivity, specificity, accuracy, and AUC value (area under the curve) were 85%, 86%, 85%, and 0.860, respectively, while those for E-ratio were 78%, 74%, 74%, and 0.780, respectively. E-index yielded superior results in all aspects of sensitivity, specificity, accuracy, and AUC values, compared to those of E-ratio. The mean E-index values for malignant tumors and benign tumors were 4.46 and 2.63, respectively, indicating a significant difference (P < 0.001). E-index values of 24 DCIS lesions and 25 intraductal papillomas were 3.88 and 3.35, respectively, which showed a considerably close value, while the false-negative rate for DCIS was 29.2%, and the false-positive rate for intraductal papilloma was as high as 32.0%. Conclusion E-index in strain elastography yielded better results than E-ratio in the malignant/benign discrimination of breast diseases. On the other hand, E-index has a high false-negative rate and false-positive rate for intraductal lesions, a factor which should be taken into account when making ultrasound diagnoses.

Data Linkage Methods for Big Data Management in Industry 4.0

2019 ◽  
pp. 108-127
Author(s):  
Onur Doğan
Keyword(s):  
Big Data ◽  
Predictive Value ◽  
Confusion Matrix ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Data Sources ◽  
Full Data ◽  
Linkage Algorithm ◽  
Positive Rate

In recent years, the use of various digital devices that continuously generate massive amounts of heterogeneous, structured or unstructured data has increased. In parallel to generation, data collection, storage, and analysis technologies have developed. Big data sources have a variety of data quality. Preparing and clearing data is one of the first step of mining big data. It is often important to address the full data set found in different data sources to achieve the right result. Various techniques have been used to increase the accuracy of the data comparison. Deterministic and probabilistic linkage algorithms are the two main techniques used in literature. They have different steps to reach qualified and integrated results. To easily interpret the results of the linkage algorithm, a confusion matrix can be used. Measurements such as sensitivity, specificity, positive predictive value, negative predictive value, false positive rate, and false negative rate, are considered to evaluate output quality.

scholarly journals Comparison of Diagnostic Efficacy of Visual Inspection of Cervix with Acetic Acid and Pap Smear for Prevention of Cervical Cancer: Is VIA Superseding Pap Smear?

2011 ◽  
Vol 3 (3) ◽  
pp. 131-134 ◽  
Author(s):  
Kamal Patil ◽  
G Durdi ◽  
KS Lakshmi
Keyword(s):  
Acetic Acid ◽  
Visual Inspection ◽  
Pap Smear ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
High Sensitivity ◽  
Cross Sectional Study ◽  
Diagnostic Efficacy ◽  
Cross Sectional

ABSTRACT Objectives To estimate diagnostic efficacy of visual inspection with acetic acid (VIA) in comparison to Pap smear. Methods This cross-sectional study was carried over a period of 24 months on 200 women attending colposcopy clinic at KLES Dr Prabhakar Kore Hospital and Medical Research Center, Belgaum, India. All women enrolled in study underwent Pap smear, VIA, colposcopy and biopsy. The sensitivity, specificity, PPV, NPV, false-positive rate and false-negative rate were calculated for VIA, Pap smear and colposcopy with biopsy as the reference standard. Results In our study, sensitivity and specificity of VIA were found to be 86.95% and 72.51% respectively, and that of Pap smear 37.68% and 92.36% respectively. Colposcopy showed higher sensitivity (94.20%) and specificity (94.65%). Conclusion VIA is a suitable primary screening procedure alternative to Pap smear as it has high sensitivity and negative predictive value.

scholarly journals Evaluation of Reid’s Combined Colposcopic Index as a predictor of cervical intraepithelial lesion

2018 ◽  
Vol 7 (9) ◽  
pp. 3724
Author(s):  
Indu Verma ◽  
Pratibha Pundhir ◽  
Tejinder Kaur ◽  
Veena Jain ◽  
Dinesh Sood
Keyword(s):  
Predictive Accuracy ◽  
False Negative ◽  
False Negative Rate ◽  
Invasive Disease ◽  
Cross Sectional Study ◽  
Histological Diagnosis ◽  
Screening Methods ◽  
Low Grade ◽  
Cross Sectional ◽  
Sensitivity Specificity

Background: Carcinoma cervix is the commonest cancer among women worldwide and in India it accounts for 80% of all genital cancers. Screening methods include cervical cytology, human papilloma virus testing and colposcopy. Objective of present study was to evaluate suspicious cervix colposcopically using Reids Colposcopic Index (RCI) and to correlate RCI with histopathological findings.Methods: This was a prospective cross sectional study done on 125 women with clinical diagnosis of suspicious cervix. Colposcopy was performed and grading of the disease was done according to RCI. Positive cases were subjected to cervical biopsy and endocervical curettage was performed in unsatisfactory colposcopy.Results: Colposcopy was done on 125 women with suspicious cervix. Out of 125, sixty two showed abnormal colposcopic findings which were graded according to RCI into Low grade disease predicting histological diagnosis of CIN1 in 47, Intermediate grade disease predicting histological diagnosis of CIN1/2 in 11 and High grade disease predicting histological diagnosis of CIN2/3 in 4 women. Colposcopy of one women suggested invasive carcinoma and was confirmed on histopathology to be microinvasive squamous cell carcinoma. Six women with unsatisfactory colposcopy showed benign histopathology. Sensitivity, specificity, predictive value and false negative rate of colposcopy for invasive disease was 50%, 100%, 100% and 1.60% respectively with 98.40% diagnostic accuracy. Colposcopic diagnosis of invasive disease and histopathology report showed 100% correlation.Conclusions: Correlation between RCI and histopathology was good. Predictive accuracy of colposcopy increased with increasing severity of disease.

Stepwise strategies in analysing haematuria and leukocyturia in screening

2006 ◽  
Vol 44 (4) ◽  
Author(s):  
Josiane Steinmetz ◽  
Joseph Henny ◽  
René Gueguen
Keyword(s):  
Microscopic Examination ◽  
Predictive Value ◽  
False Positive ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Microscopic Analysis ◽  
Test Strip ◽  
Negative Rate ◽  
Positive Rate

AbstractThe aim of the present work was to compare in a supposed healthy population of 680 subjects several algorithms for positive selection of urine samples requiring microscopic examination for erythrocytes and leukocytes after screening by automated test-strip measurement and particle counting on a Sysmex UF-50™ flow cytometer. Four strategies have been formulated and the sensitivity, specificity, positive predictive value, negative predictive value, false positive rate, false negative rate, and microscopic review rate were measured. The strategy combining test strip analysis and automated counting on all samples, followed by microscopic examination of only discordant samples gave the best results. When the two methods of haematuria screening were in agreement (91% of samples), the false negative rate for microscopy was 1.1%, with a false positive rate of 0.8%, sensitivity of 66% and specificity of 99%, and the results are acceptable without any other examination. When the two methods of haematuria screening were discrepant, visual microscopic analysis was necessary to obtain definitive results. For leukocyturia screening, 80% of results were in agreement by test strip and automatic sediment urinalysis, with only ten results considered as false negatives (1.8%) and four as false positives (0.7%). Agreement was good and the other criteria were good (sensitivity 79%, specificity 99%). On conflicting samples, there was no agreement between methods and microscopic analysis was essential. The benefit of such an algorithm would be optimisation of the workflow without any loss of sensitivity and specificity at the expense of a two-fold increase in cost.

scholarly journals Development of USI-Kit for Evaluation of Iodine Content in Iodized Salt

2020 ◽  
Vol 17 (10) ◽  
pp. 1149-1156
Author(s):  
Sakaewan OUNJAIJEAN ◽  
Kongsak BOONYAPRANAI ◽  
Kanokwan KULPRACHAKARN ◽  
Kittipan RERKASEM
Keyword(s):  
Spectrophotometric Method ◽  
False Positive ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Iodine Content ◽  
Kappa Coefficient ◽  
Test Kit ◽  
Positive Rate ◽  
Sensitivity Specificity

Iodine deficiency has been considered as a serious public health problem for the past decades. Universal salt iodization program is introduced and implemented to address such problem. To encourage this program in an effective and sustainable way, it is essential to regularly monitor whether salt is adequately iodized at various points along the supply chain. The traditional iodometric titration method has problems related to accessibility, cost, and time. Colorimetric test kits have been used extensively to measure coverage of iodized salt in household surveys due to its expediency and affordability. In Thailand, “I-KIT” is the most widely used. The visualization of intensive color, however, is inconvenient for untrained-user in determining the adequacy of iodine content. Thus, an improvement to make testing more precise and affordable is still required. In this respect, a new test kit namely USI-Kit was developed to assess iodine quality and semi-quantity in edible salt. The kit was tested to evaluate its performance, by comparing the result with the I-KIT and with the spectrophotometric method. Compared with I-Kit, the USI-Kit exerted the relative accuracy, sensitivity, specificity, false positive rate, false negative rate and Kappa coefficient value of 74.0, 76.3, 72.6, 27.4, 23.7 and 0.47, respectively. Compared to the spectrophotometric method, USI-Kit exerted the relative accuracy, sensitivity, specificity, false positive rate, false negative rate and Kappa coefficient value of 85.4, 80.1, 89.3, 10.7, 19.9 and 0.70, respectively. The finding suggested that a newly developed iodine test kit holds promise to be used in field inspection of iodine content in salt.

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