• Title/Summary/Keyword: Diagnostic value

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Diagnostic Value of p53 Expression in the Evaluation of Effusions (체강삼출액의 진단에 있어서 p53 단백의 유용성)

  • Lee, Ji-Shin;Park, Chang-Soo
    • The Korean Journal of Cytopathology
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    • v.7 no.2
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    • pp.138-143
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    • 1996
  • The diagnostic accuracy of routine cytological preparations from effusions ranges from 60% to 70%. Immunohistochemical markers, especially tumor-associated antigens, have been successfully employed to increase diagnostic sensitivity in effusion cytology. However, more than two different antibodies in diagnosis of effusions are needed. In the view of prevalence of abnormalities of p53 gene in human malignancies we investigated the diagnostic usefulness of demonstration of p53 protein immunoreactivity in distinguishing benign changes versus malignant processes in effusions. p53 protein expression was studied immunohistochemically in 76 effusions(28 malignant and 48 benign) using anti-human p53 antibody p53 immunoreactivity was identified in 19 of 28(67.9%) malignant effusions. In contrast, no p53 immunoreactivity was observed in all benign effusions. A specificity of 100% and a sensitivity of 67.9% were observed. These results suggest that immunohistochemical detection of p53 protein seems to be helpful in distinguishing benign changes versus malignant processes in effusions, although its principal limitation is its relatively low sensitivity.

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Influence Diagnostic Measure for Spline Estimator

  • Lee, In-Suk;Cho, Gyo-Young;Jung, Won-Tae
    • Journal of Korean Society for Quality Management
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    • v.23 no.4
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    • pp.58-63
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    • 1995
  • To access the quality of a fit to a set of data it is always useful to conduct a posteriori analysis involving the examination of residuals, detection of influential data values, etc. Smoothing splines are a type of nonparametric regression estimators for the diagnostic problem. And leverage value, Cook's distance, and DFFITS are used for detecting influential data. Since high leverage points will always have small residuals, the new diagnostic measures including of properties of leverage and residuals are needed. In this paper, we propose FVARATIO version as diagnostic measure in nonparametric regression. Also we consider the rough bound as analogy with linear regression case.

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Development of the Fault Diagnostic System on the Rotating Machinery Using Vibration Signal (진동 신호를 이용한 회전기기 고장 진단 시스템의 개발)

  • Lee Choong-Hwi;Sim Hyoun Jin;Oh Jae-Eung;Yoon Lee Jng
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.12
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    • pp.75-83
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    • 2004
  • With the rotating machinery getting more accurate and diversified, the necessity fur an appropriate diagnosis technique and maintenance system has been greatly recognized. However, until now, the operator has executed a monitoring of the machine by the senses or simple the change of RMS (root mean Square) value. So, the diagnostic expert system using the fuzzy inference which the operator can judge easily and expertly a condition of the machine is developed through this study. In this paper, the hardware and software of the diagnostic expert system was composed and the identification of the diagnostic performance of the developed system for 5 fault phenomena was carried out.

Medical Image Compression using Adaptive Subband Threshold

  • Vidhya, K
    • Journal of Electrical Engineering and Technology
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    • v.11 no.2
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    • pp.499-507
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    • 2016
  • Medical imaging techniques such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Ultrasound (US) produce a large amount of digital medical images. Hence, compression of digital images becomes essential and is very much desired in medical applications to solve both storage and transmission problems. But at the same time, an efficient image compression scheme that reduces the size of medical images without sacrificing diagnostic information is required. This paper proposes a novel threshold-based medical image compression algorithm to reduce the size of the medical image without degradation in the diagnostic information. This algorithm discusses a novel type of thresholding to maximize Compression Ratio (CR) without sacrificing diagnostic information. The compression algorithm is designed to get image with high optimum compression efficiency and also with high fidelity, especially for Peak Signal to Noise Ratio (PSNR) greater than or equal to 36 dB. This value of PSNR is chosen because it has been suggested by previous researchers that medical images, if have PSNR from 30 dB to 50 dB, will retain diagnostic information. The compression algorithm utilizes one-level wavelet decomposition with threshold-based coefficient selection.

The effects of types of knowledge on the performance of fault diagnosis

  • 함동한;윤완철
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.04a
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    • pp.387-394
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    • 1995
  • With respect to the effectiveness of types of knowledge on human diagnostic performance, the results of several experiments claimed that training with diagnostic rules (procedural knowledge) is more effective than training that provides theoretical knowledge (principle knowledge). However, we usually have the idea that understanding the principles of system dynamics is necessary for diagnosis in some situations. In this study, we pointed out some problems in the previous experiments that force to reinterpret their experimental conclusions. Accordingly, we conducted an experiment to reinvestigate the value of theoretical knowledge in two problem situations. A simulator system, which is named DLD, that is to diagnose an electronic device was created for this purpose. It is a context-free digital logic circuit which includes forty-one gates of three basic types. Our experiment investigated the marginal effects of theoretical knowledge over common diagnostic rules. The experimental results showed that the effectiveness of the instruction in theoretical knowledge is dependent on the complexity of diagnostic situations. This adds up an experimental evidence against the presumed ineffectiveness of theoretical knowledge and forward reasoning in fault diagnosis. Furthermore, the result suggests the source of the use of theoretical knowledge.

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Diagnostic Accuracy of Percutaneous Transthoracic Needle Lung Biopsies: A Multicenter Study

  • Kyung Hee Lee;Kun Young Lim;Young Joo Suh;Jin Hur;Dae Hee Han;Mi-Jin Kang;Ji Yung Choo;Cherry Kim;Jung Im Kim;Soon Ho Yoon;Woojoo Lee;Chang Min Park
    • Korean Journal of Radiology
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    • v.20 no.8
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    • pp.1300-1310
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    • 2019
  • Objective: To measure the diagnostic accuracy of percutaneous transthoracic needle lung biopsies (PTNBs) on the basis of the intention-to-diagnose principle and identify risk factors for diagnostic failure of PTNBs in a multi-institutional setting. Materials and Methods: A total of 9384 initial PTNBs performed in 9239 patients (mean patient age, 65 years [range, 20-99 years]) from January 2010 to December 2014 were included. The accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PTNBs for diagnosis of malignancy were measured. The proportion of diagnostic failures was measured, and their risk factors were identified. Results: The overall accuracy, sensitivity, specificity, PPV, and NPV were 91.1% (95% confidence interval [CI], 90.6-91.7%), 92.5% (95% CI, 91.9-93.1%), 86.5% (95% CI, 85.0-87.9%), 99.2% (95% CI, 99.0-99.4%), and 84.3% (95% CI, 82.7-85.8%), respectively. The proportion of diagnostic failures was 8.9% (831 of 9384; 95% CI, 8.3-9.4%). The independent risk factors for diagnostic failures were lesions ≤ 1 cm in size (adjusted odds ratio [AOR], 1.86; 95% CI, 1.23-2.81), lesion size 1.1-2 cm (1.75; 1.45-2.11), subsolid lesions (1.81; 1.32-2.49), use of fine needle aspiration only (2.43; 1.80-3.28), final diagnosis of benign lesions (2.18; 1.84-2.58), and final diagnosis of lymphomas (10.66; 6.21-18.30). Use of cone-beam CT (AOR, 0.31; 95% CI, 0.13-0.75) and conventional CT-guidance (0.55; 0.32-0.94) reduced diagnostic failures. Conclusion: The accuracy of PTNB for diagnosis of malignancy was fairly high in our large-scale multi-institutional cohort. The identified risk factors for diagnostic failure may help reduce diagnostic failure and interpret the biopsy results.

Comparison of Fine Needle Aspiration Cytologic Diagnoses and Histologic Diagnoses in 256 Breast Lesions (유방 병변 256례의 세침흡인 세포학적 진단 및 조직학적 진단과의 비교연구)

  • Kang, Mi-Seon;Jung, Soo-Jin;Yoon, Hye-Kyoung
    • The Korean Journal of Cytopathology
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    • v.8 no.2
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    • pp.120-128
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    • 1997
  • Fine needle aspiration cytology of breast lesion is well known as a simple, economic and effective diagnostic modality. For the evaluation of cytohistologic correlation, 256 cases of cytologic smears and subsequent histologic sections during 2-year period from Jan. 1995 to Dec. 1996 were reviewed. 1. Fifteen cases(5.9%) were proven as insufficient for evaluation, and 13 of them were fibrocystic change histologically. One case of carcinoma exhibiting sufficient amount of aspirates with no malignant cells on smear was regarded as inadequate. 2. Cytohistologic correlation of 240 cases revealed sensitivity 87.0%, specificity 100.0%, positive predictive value 100.0%, negative predictive value 97.0%, false positive rate 0.0% and false negative rate 13.0%. Total diagnostic accuracy is 95.7%. 3. Total 6 cases of negative were due to small amount of aspirates containing scantiness of malignant cells in two and underestimation in four. 4. Diagnostic concordance rates of fibrocystic change and fibroadenoma were 95.5% and 80.0%, respectively. Diagnostic discrepancies were noted in 7 cases of fibrocystic change and 6 cases of fibroadenoma, however, cytologic discrimination of two entities was not easy in seven of them. 5. In a case of phyllodes tumor and a case of duct ectasia, the discrepancy was due to targeting error. Other three cases(lymphoma, adenomyoepithelioma and granulomatous mastitis) were misinterpreted because of poor acquaintance with those entities. Diagnostic accuracy of fine needle aspiration cytology of breast lesions are relatively high. However, good technique on aspiration and adequate interpretation are necessary to reduce the false negative rate and the discrepancy between cytologic and histologic diagnoses.

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Are p53 Antibodies a Diagnostic Indicator for Patients with Oral Squamous Cell Carcinoma? Systematic Review and Meta-Analysis

  • Yang, Zhi-Cheng;Ling, Li;Xu, Zhi-Wei;Sui, Xiao-Dong;Feng, Shuang;Zhang, Jun
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.1
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    • pp.109-115
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    • 2016
  • Background: P53 has been reported to be involved with tumorigenesis and has also been implicated as a significant biomarker in oral squamous cell carcinoma(OSCC). However, the diagnostic value of p53 antibodies remains controversial; hence, we comprehensively and quantitatively assessed the potential in the present systematic review. Materials and Methods: A comprehensive search was performed using PubMed and Embase, up to October 31, 2014, without language restriction. Studies were assessed for quality using QUADAS (quality assessment of studies of diagnostic accuracy). The positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were pooled separately and compared with overall accuracy measures using diagnostic odds ratios (DORs) and symmetric summary receiver operating characteristic (SROC) curves. Results: Of 150 studies initially identified, 7 eligible regarding serum p53 antibodies met the inclusion criteria. Some 85.7% (6/7) were of relatively high quality (QUADAS $score{\geq}7$). The summary estimates for quantitative analysis of serum p53 antibody in the diagnosis of squamous cell carcinoma were: PLR 2.06 [95% confidence interval (CI) : 1.35-3.15], NLR 0.85 (95%CI: 0.80-0.90) and DOR 2.47 (95%CI: 1.49-4.12). Conclusions: This meta-analysis suggests that the use of s-p53-antibodies has potential diagnostic value with relatively high sensitivity and specificity for OSCC particularly with serum specimens for discrimination of OSCCs from healthy controls. However, its discrimination power is not perfect because of low sensitivity.

Critical Evaluation of Fine Needle Aspiration Cytology as a Diagnostic Technique in Bone Tumors and Tumor-like Lesions

  • Chakrabarti, Sudipta;Datta, Alok Sobhan;Hira, Michael
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.7
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    • pp.3031-3035
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    • 2012
  • Background: Though open surgical biopsy is the procedure of choice for the diagnosis of bone tumors, many disadvantages are associated with this approach. The present study was undertaken to evaluate the role of fine needle aspiration cytology (FNAC) as a diagnostic tool in cases of bony tumors and tumor-like lesions which may be conducted in centers where facilities for surgical biopsies are inadequate. Methods: The study population consisted of 51 cases presenting with a skeletal mass. After clinical evaluation, radiological correlation was done to assess the nature and extent of each lesion. Fine needle aspiration was performed aseptically and smears were prepared. Patients subsequently underwent open surgical biopsy and tissue samples were obtained for histopathological examination. Standard statistical methods were applied for analysis of data. Results: Adequate material was not obtained even after repeated aspiration in seven cases, six of which were benign. Among the remaining 44 cases, diagnosis of malignancy was correctly provided in 28 (93.3%) out of 30 cases and categorical diagnosis in 20 (66.67%). Interpretation of cytology was more difficult in cases of benign and tumor-like lesions, with a categorical opinion only possible in seven (50%) cases. Statistical analysis showed FNAC with malignant tumors to have high sensitivity (93.3%), specificity (92.9%) and positive predictive value of 96.6%, whereas the negative predictive value was 86.7%. Conclusion: FNAC should be included in the diagnostic workup of a skeletal tumor because of its simplicity and reliability. However, a definitive pathologic diagnosis heavily depends on compatible clinical and radiologic features which can only be accomplished by teamwork. The cytological technique applied in this study could detect many bone tumors and tumor-like conditions and appears particularly suitable as a diagnostic technique for rural regions of India as other developing countries.

A Study on Skin Resistance Variability (SRV) of Women with Uterine Myoma (자궁근종환자의 피부저항 변이도에 관한 연구)

  • Lee, Hyang-Suk;Sohn, Young-Joo;Jung, Min-Yung
    • The Journal of Korean Medicine
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    • v.28 no.2 s.70
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    • pp.114-125
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    • 2007
  • Objectives : Uterine myoma is the most common pelvic benign tumor and may cause abnormal menstrual pattern. The growth of uterine myoma depends on hormones. The 7-zone-diagnostic system (CP-6000A) is a measuring system using skin resistance variability (SRV). The machine shows organic energy and was reported by the gynecologic department to detect functional abnormality of hypothalamus-hypophysis-ovarian axis (H-P-O). Our study was to investigate the SRV of women with uterine myoma by the 7-zone diagnostic system. Methods: Two groups were selected from those who took the CP-6000A test in the College of Korean Medicine Hospital of Sangji University from March 2003 to September 2006. They were divided into normal control (n=40) and uterine myoma groups (n=40). Electrodermal activity of the two groups was compared. Results : The mean value of electrodermal activity of the uterine myoma group was lower than that of thenormal group in all areas on first and second measurement. Especially, the mean value of the patient group was significantly lower than that of the normal group and fell below normal range in the 1, 2, and 3 areas on first and second measurement. Conclusions : The results suggest that women with uterine myoma may have organic energy deficiency and functional abnormality of the H-P-O axis. Further studies to determine the feasibility of this 7 -zone diagnostic system as a reliable diagnostic tool are needed.

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