Correlation of preoperative citology/histology in radiologically detected lesions and histologic findings at excision

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 1552-1552
Author(s):  
P. Manente ◽  
G. Vicario ◽  
E. Scelzi ◽  
L. Sartor ◽  
L. Nicolardi ◽  
...  
Keyword(s):  
High Performance ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Needle Aspiration ◽  
European Guidelines ◽  
Breast Abnormality ◽  
Positive Rate ◽  
Preoperative Procedures ◽  
Screening Assessment

1552 Background: The major techniques used to diagnose breast abnormality has been for many years fine-needle aspiration (FNA) cytology and core needle biopsy (CNB) and more recently vacuum-assisted core biopsy (VACB). These techniques are accurate and allow definitive therapeutic surgery. The aim of our study was to detemine whether cytology/histologic findings mach histologic findings at excision. Methods: In our Institution, between January 2004 and June 2006, 43,138 mammographic exams were performed. 1,012 patients had patological lesions at mammography: 617 FNA cytology ( C due to European guidelines for breast cancer screening assessment) and 395 CNB/VACB (B) were performed. Patients with respectively suspicious and malignant FNA cytology (C4 and C5) and respectively uncertain malignant potential, suspicious and malignant histology (B3, B4 and B5) underwent to surgery. Results: The number of cancer identified by FNA cytology was 158 and the number of cancer identified by CNB/VACB was 253. The correlation of preoparative citology/histology with definitive histology had showed: false negative rate respectively 0.79% for histology (B) and 3.16% for cytology (C). False positive rate was respectively 0.4% for B and 0.63 for C. Complete sensitivity was 98.2% for B and 89.87% for C. Absolute sensitivity was 90.51% for B and 76.58% for C. Conclusions: Our data demostrated very high performance of diagnostic preoperative procedures due to multidisciplinary approach between the radiologists, the clinicians and the pathologists. No significant financial relationships to disclose.

The role of ultrasound in the management of peritonsillar abscess

1994 ◽  
Vol 108 (7) ◽  
pp. 610-612 ◽  
Author(s):  
K. Ahmed ◽  
A. S. Jones ◽  
K. Shah ◽  
A. Smethurst
Keyword(s):  
Ultrasound Examination ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Needle Aspiration ◽  
Peritonsillar Abscess ◽  
Surgical Drainage ◽  
Positive Rate ◽  
Sensitivity Rate

AbstractA distinction between a peritonsillar abscess and peritonsillitis is useful clinically, as the former requires surgical drainage while the latter merely requires treatment with antibiotics. To evaluate the diagnostic implications of performing ultrasonography of the tonsils in patients with clinically diagnosed peritonsillar abscess, 27 patients underwent ultrasound examination before needle aspiration of the abscess was performed. Ultrasound was able to detect peritonsillar abscess in91 per cent of the cases (sensitivity rate), with a false negative rate of nine per cent and a false positive rate of 20 per cent. The specificity of the test was 80 per cent, and was able to differentiate abscess from peritonsillitis in 88.9 per cent. On the basis of these results we conclude that ultrasonography of the tonsils in patients thought to have peritonsillar abscess is a useful adjunct, enhancing diagnostic accuracy and reducing unnecessary surgical drainage.

scholarly journals The Sensitivity and Specificity of Fine-Needle Aspiration in Thyroid Neoplasia

2017 ◽  
Vol 2 (2) ◽  
pp. 127-131
Author(s):  
Rareș Georgescu ◽  
Adela Luciana Oprea ◽  
Alexandra Contra ◽  
Orsolya Bauer Hanko ◽  
Ioana Colcer ◽  
...  
Keyword(s):  
Fine Needle Aspiration ◽  
Predictive Value ◽  
Thyroid Nodules ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Needle Aspiration ◽  
Fine Needle ◽  
Causes Of Errors ◽  
Positive Rate

AbstractObjective:To evaluate and demonstrate the accuracy of fine-needle aspiration (FNA) in thyroid lesions in our department and to highlight probable causes of errors leading to unsatisfactory sampling, which may depend on the characteristics of the nodule.Methods:This is a retrospective study conducted on 319 diagnosed cases of thyroid nodules referred to the Surgery Unit of Puls hospital, Tîrgu Mureș in the January 2014 – December 2015 period, who underwent fine-needle aspiration. Histological examination was considered to be the gold standard; therefore we compared the cytological diagnosis with the histological one.Results:Of the 319 cases, 289 (90.6%) were female and 30 (9.4%) male patients; 210 cases (69.3%) were interpreted as benign, 46 cases (15.2%) as follicular lesion of undetermined significance, 4 cases (1.3%) as suspect for malignancy, 1 case (0.3%) as malignant sampling, and 42 cases (13.9%) as unsatisfactory. We compared the results of fine-needle aspiration cytology (FNAC) with the corresponding histopathological results (49 in total). FNAC achieved a sensitivity of 76.47%, a specificity of 83.1%, a positive predictive value of 35.1%, a negative predictive value of 96.7%, a false positive rate of 16.9%, a false negative rate of 23%, and an overall accuracy of 82.3%.Conclusions:The results of our study demonstrate the accuracy of the FNA technique in the first-line diagnosis of thyroid nodules.

Letters to the Editor

PEDIATRICS ◽  
1981 ◽  
Vol 68 (1) ◽  
pp. 144-145
Author(s):  
Lachlan Ch De Crespigny ◽  
Hugh P. Robinson
Keyword(s):  
Real Time ◽  
Linear Array ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Letters To The Editor ◽  
Premature Babies ◽  
Computed Tomography Scans ◽  
Positive Rate ◽  
Time Linear

We read with interest the report which suggested that the diagnosis of cerebroventricular hemorrhage ([CVH] including both subependymal [SEH] and intraventricular) with real time ultrasound was unreliable.1 Ultrasound, when compared with computed tomography scans, had a 35% false-positive rate and a 21% false-negative rate. In our institution over a 12-month period more than 200 premature babies have been examined (ADR real time linear array scanner with a 7-MHz transducer).

Pathologic Assessment of Computerized Tomography Accuracy for the Evaluation of the Laryngeal Cartilaginous Frame Work in Laryngopharyngeal Carcinomas

1989 ◽  
Vol 75 (2) ◽  
pp. 156-162 ◽  
Author(s):  
Sandro Sulfaro ◽  
Francesco Querin ◽  
Luigi Barzan ◽  
Mario Lutman ◽  
Roberto Comoretto ◽  
...  
Keyword(s):  
Computerized Tomography ◽  
False Positive ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Cartilage Destruction ◽  
High False Negative Rate ◽  
Positive Rate ◽  
Pathologic Assessment ◽  
Low Sensitivity

Sixty-six whole-organ sectioned laryngopharyngectomy specimens removed for cancer during a seven-year period were uniformly examined to determine the accuracy of preoperative high resolution computerized tomography (CT) for detection of cartilaginous involvement. Our results indicate that CT has a high overall specificity (88.2%) but a low sensitivity (47.1 %); we observed a high false-negative rate (26.5%) and a fairly low false-positive rate (5.9%). Massive cartilage destruction was easily assessed by CT, whereas both small macroscopic and microscopic neoplastic foci of cartilaginous invasion were missed on CT scans. Moreover, false-positive cases were mainly due to proximity of the tumor to the cartilage. Clinical implications of these results are discussed.

scholarly journals Macromolecule Particle Picking and Segmentation of a KLH Database by Unsupervised Cryo-EM Image Processing

Biomolecules ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 809
Author(s):  
Miguel Carrasco ◽  
Patricio Toledo ◽  
Nicole D. Tischler
Keyword(s):  
Signal To Noise Ratio ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Keyhole Limpet Hemocyanin ◽  
True Positive Rate ◽  
Cryo Electron Microscopy ◽  
Positive Rate ◽  
Top View ◽  
Non Negative Matrix Factorization

Segmentation is one of the most important stages in the 3D reconstruction of macromolecule structures in cryo-electron microscopy. Due to the variability of macromolecules and the low signal-to-noise ratio of the structures present, there is no generally satisfactory solution to this process. This work proposes a new unsupervised particle picking and segmentation algorithm based on the composition of two well-known image filters: Anisotropic (Perona–Malik) diffusion and non-negative matrix factorization. This study focused on keyhole limpet hemocyanin (KLH) macromolecules which offer both a top view and a side view. Our proposal was able to detect both types of views and separate them automatically. In our experiments, we used 30 images from the KLH dataset of 680 positive classified regions. The true positive rate was 95.1% for top views and 77.8% for side views. The false negative rate was 14.3%. Although the false positive rate was high at 21.8%, it can be lowered with a supervised classification technique.

Validity and Reliability of the Hooper Visual Organization Test

1974 ◽  
Vol 39 (1) ◽  
pp. 95-100 ◽  
Author(s):  
Allan Gerson
Keyword(s):  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Functional Disorders ◽  
Validity And Reliability ◽  
Clinical Value ◽  
Clear Cut ◽  
Positive Rate ◽  
Organic Brain ◽  
Visual Organization

To assess the validity and reliability of the Hooper Visual Organization Test, 68 Ss, of whom 16 were clinically and psychometrically determined to be suffering from organic brain damage, 19 had functional disorders, and 33 were without organic or functional disorders (normal), were given the test. The instrument was shown to be reliable ( r = .80), however, clear-cut discriminations between groups were not achieved. There were significant differences in scores of normal and damaged groups, functional and damaged Ss, but not functional and normal Ss. The qualitative signs said to aid in differentiations were totally absent from all protocols. Performance was affected in part by IQ and other aspects of recognition of meaning. There was a 19% false negative rate for the functionals and a 51% false positive rate for normals. The conclusion was that this device is of dubious clinical value.

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 Malicious Domain Names Detection Algorithm Based on N-Gram

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Hong Zhao ◽  
Zhaobin Chang ◽  
Guangbin Bao ◽  
Xiangyan Zeng
Keyword(s):  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Detection Algorithm ◽  
Internet Security ◽  
Domain Name ◽  
Domain Names ◽  
Malicious Attack ◽  
Positive Rate ◽  
N Gram

Malicious domain name attacks have become a serious issue for Internet security. In this study, a malicious domain names detection algorithm based on N-Gram is proposed. The top 100,000 domain names in Alexa 2013 are used in the N-Gram method. Each domain name excluding the top-level domain is segmented into substrings according to its domain level with the lengths of 3, 4, 5, 6, and 7. The substring set of the 100,000 domain names is established, and the weight value of a substring is calculated according to its occurrence number in the substring set. To detect a malicious attack, the domain name is also segmented by the N-Gram method and its reputation value is calculated based on the weight values of its substrings. Finally, the judgment of whether the domain name is malicious is made by thresholding. In the experiments on Alexa 2017 and Malware domain list, the proposed detection algorithm yielded an accuracy rate of 94.04%, a false negative rate of 7.42%, and a false positive rate of 6.14%. The time complexity is lower than other popular malicious domain names detection algorithms.

Comparison of the BAX System PCR Method to Brazil's Official Method for the Detection of Salmonella in Food, Water, and Environmental Samples

2008 ◽  
Vol 71 (12) ◽  
pp. 2442-2447 ◽  
Author(s):  
INGRID BOESCHE TOMAZELLI ◽  
JOSINETE BARROS de FREITAS ◽  
LEANIA MARIA FABBI ◽  
TEREZINHA AGNESE FILIPINI ◽  
CLÁUDIA MARIA da SILVA ◽  
...  
Keyword(s):  
Environmental Samples ◽  
Limit Of Detection ◽  
False Positive Rate ◽  
False Negative ◽  
False Negative Rate ◽  
Reference Method ◽  
Culture Method ◽  
Official Method ◽  
Positive Rate ◽  
Pcr Method

A two-stage study compared the BAX system PCR method with the reference culture method used by the Brazilian Ministry of Agriculture and Food Supply for the detection of Salmonella in food, water, and environmental samples. In stage 1, fish matrix samples (n = 258) were spiked at several levels with Salmonella and a combination of Salmonella and non-Salmonella competitive organisms. Replicates were analyzed by the BAX system PCR method and the reference method with comparable results (sensitivity ≥ 97.5%, specificity ≥ 83.3%) from both methods at the limit of detection. In stage 2, a total of 1,988 samples with 70 product types were analyzed with both methods. Five laboratories were involved in this study, and the samples used were from routine analyses. The BAX system PCR method was shown to be comparable to the reference method, with a limit of detection of 1.0 to 2.0 CFU/25 g of sample. Analysis of the results obtained in stage 2 and in the combination of stages 1 and 2 for the BAX system showed the following performance: sensitivity ≥ 99.0%, specificity ≥ 97.2%, false-negative rate ≤ 1.1%, and false-positive rate ≤ 2.8%. Therefore, the BAX system appears to be equivalent to the reference method, with ≥ 97.3% agreement.

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