• Title/Summary/Keyword: Diagnostic specificity

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Serodiagnosis of Extraintestinal Amebiasis: Retrospective Evaluation of the Diagnostic Performance of the Bordier® ELISA Kit

  • Beyls, Nicolas;Cognet, Odile;Stahl, Jean-Paul;Rogeaux, Olivier;Pelloux, Herve
    • Parasites, Hosts and Diseases
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    • v.56 no.1
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    • pp.71-74
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    • 2018
  • Soluble antigens from an axenic culture of Entamoeba histolytica were used to develop a commercial ELISA kit to quantify anti-E. histolytica antibodies in sera of patients with extraintestinal amebiasis in non-endemic settings. The diagnostic specificity and sensitivity of the test were assessed retrospectively using 131 human serum samples with amoebic serologic status available. They were selected according to their results in immunofluorescence (IFAT) and were separated in 2 sample categories: 64 sera with positive results by IFAT and 67 with negative results by IFAT. The sensitivity and specificity of the ELISA kit were assessed at 95.0% and 94.0% compared to the IFAT. The test can be useful to exclude a potential diagnosis of amebiasis and could be used as a screening method since ELISA is an automated technique.

Antigen specificity of 36 and 31 kDa proteins of Spirometra erinacei plerocercoid in tissue invading nematodiasis

  • Nimit Morakote;Yoon Kong
    • Parasites, Hosts and Diseases
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    • v.31 no.2
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    • pp.169-172
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    • 1993
  • Diagnostic specificity of 36 and 91 kDa proteins of Spirometra erlnacei plerocercold (sparganuml was evaluated by micro-ELISA In tissue Invading nematodiasls such as 25 gnathostomiasis, 33 angiostrongyllasls, 22 trichlnellosis patients, and 20 normal control. All but one patient each in 3 nematodlases showed the antibody levels of negative range. The positively reacted patients were regarded as concomitant Infections of sparganum because Immunized or hypennfected rabbit sennn of the nematodes did not react crossly to the antigen.

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Cytopathology of Urinary Tract Neoplasms (요로 종양의 세포병리)

  • Hong, Eun-Kyung
    • The Korean Journal of Cytopathology
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    • v.17 no.1
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    • pp.1-17
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    • 2006
  • Urine cytology is the most useful technique for detecting either primary or recurrent neoplasms in the urinary tract. Although urine cytology is the traditional method of detecting these neoplasms, its diagnostic accuracy has been underevaluated because of low sensitivity. The cytologic interpretation of urinary samples is not an easy task, even with some expertise in this area, for many reasons. In low-grade urothelial carcinoma, no reliable or reproducible diagnostic cytologic criteria can be provided because of the lack of obvious cytologic features of malignancy, which is one of the main factors lowering its diagnostic accuracy. Many diagnostic markers have been developed recently to enhance its diagnostic yield, but the results have not been satisfactory. However, urine cytology plays a role in detecting high-grade urothelial carcinoma or its precursor lesions. It still shows higher specificity than any of the newly developed urine markers. Understanding the nature of urine samples and the nature of neoplasms of the urinary tract, recognizing their cytologic features fully, and using cytologic findings under appropriate conditions in conjunction with a detailed clinical history would make urine cytology a very valuable diagnostic tool.

EVALUATION OF DIAGNOSTIC TESTS WITH MULTIPLE DIAGNOSTIC CATEGORIES

  • Birkett N.J.
    • 대한예방의학회:학술대회논문집
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    • 1994.02b
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    • pp.154-157
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    • 1994
  • The evaluation of diagnostic tests attempts to obtain one or more statistical parameters which can indicate the intrinsic diagnostic utility of a test. Sensitivity. specificity and predictive value are not appropriate for this use. The likelihood ratio has been proposed as a useful measure when using a test to diagnose one of two disease states (e.g. disease present or absent). In this paper, we generalize the likelihood ratio concept to a situation in which the goal is to diagnose one of several non-overlapping disease states. A formula is derived to determine the post-test probability of a specific disease state. The post-test odds are shown to be related to the pre-test odds of a disease and to the usual likelihood ratios derived from considering the diagnosis between the target diagnosis and each alternate in turn. Hence, likelihood ratios derived from comparing pairs of diseases can be used to determine test utility in a multiple disease diagnostic situation.

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Application of Transcranial Doppler Ultrasonography(TCD) for the Diagnosis of Migraine : Preliminary Results (Transcranial Doppler Ultrasonography를 이용한 편두통의 진단: 예비연구)

  • Lee, Young-Seok;Kim, Byung-Kun
    • Annals of Clinical Neurophysiology
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    • v.1 no.1
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    • pp.31-35
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    • 1999
  • Dignosis of migraine is only based on the medical history, and objective methods to aid the clinical diagnosisare absent. Although transcranial Doppler ultrasonography (TCD) abnormalities in headache-free migraineurs have been reported previously, diagnostic criteria for migraine is still lacking and this may limit the practical application of TCD for migraine. We prospectively studied several abnormal TCD indices in interictal migraineurs and their sensitivity and specificity to define the optimal diagnostic criteria. Young (20 yrs$age=29.0{\pm}6.1yrs$) were compared to 69 controls (M:F=25:44, Mean $age=31.2{\pm}5.5yrs$). Elevated MFV (> 2SD)was observed in 63% of migraineurs while n 12% of control (p<0.01). High AI (>25%) or high HI (>3.0) was present in 17% of migraineurs, while 3% and none in controls (p<0.01). Sensitivity of elevated MFV, high AI, and high HI was 63%, 17%, 17% and specificity was 88%, 97%, 100%, respectively. If all these indices were combined, sensitivity and specificity reached 69% and 86%. These preliminary results suggest pathophysiological implication of vasospasm in interictal migraineurs, and TCD may be practically applicable for migraine. Optimal diagnostic criteria and therapeutic options for patients with abnormal TCD findings remain to bo determined.

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Diagnostic Correlation and Accuracy Between Fine Needle Aspiration Cytology and Histopathologic Examination (세침흡인 세포검사와 조직검사의 진단 일치율 및 정확도에 대한 조사)

  • Sohn, Jin-Hee;Chae, Seoung-Wan;Cho, Eun-Yoon;Kim, Eo-Jin
    • The Korean Journal of Cytopathology
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    • v.14 no.2
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    • pp.53-59
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    • 2003
  • Fine needle aspiration cytology (FNAC) has been known as a very sensitive and effective method for preoperative diagnosis. We studied cases preoperatively diagnosed by FNAC and confirmed by the histopathologic examination to define the effectiveness of FNAC. A total of 567 cases including breast, thyroid gland, lymph node, and soft tissue confirmed histologically after FNAC were enrolled, among 2,844 FNAC cases from January 1996 to March 2000. Overall sensitivity and specificity of FNAC were 93% and 100%, respectively. Sensitivity and specificity of FNAC by sites or organs were 91% and 100% in breast, 100% and 100% in thyroid, 97% and 100% in lymph node, and 71% and 100% in soft tissue, respectively. Nine cases showed diagnostic discrepancy; eight cases of sampling error and one case of interpretation error. Five cases, diagnosed as fibrocystic change at FNAC but invasive ductal carcinoma after the histopathologic examination, were categorized as sampling error due to the presence of diffuse fibrosis or deep seated location. One case of breast, diagnosed descriptively as atypical ductal and stromal cells suggesting invasive ductal carcinoma at FNAC but malignant phyllodes tumor histologically, was categorized as interpretation error. Other cases of sampling errors were two cases of soft tissue, a case of lymph node, and a case of salivary gland.

Effect of titanium and stainless steel posts in detection of vertical root fractures using NewTom VG cone beam computed tomography system

  • Mohammadpour, Mahdis;Bakhshalian, Neema;Shahab, Shahriar;Sadeghi, Shaya;Ataee, Mona;Sarikhani, Soodeh
    • Imaging Science in Dentistry
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    • v.44 no.2
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    • pp.89-94
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    • 2014
  • Purpose: Vertical root fracture (VRF) is a common complication in endodontically treated teeth. Considering the poor prognosis of VRF, a reliable and valid detection method is necessary. Cone beam computed tomography (CBCT) has been reported to be a reliable tool for the detection of VRF; however, the presence of metallic intracanal posts can decrease the diagnostic values of CBCT systems. This study evaluated and compared the effects of intracanal stainless steel or titanium posts on the sensitivity, specificity, and accuracy of VRF detection using a NewTom VG CBCT system. Materials and Methods: Eighty extracted single-rooted teeth were selected and sectioned at the cemento-enamel junction. The roots were divided into two groups of 40. Root fracture was induced in the test group by using an Instron machine, while the control group was kept intact. Roots were randomly embedded in acrylic blocks and radiographed with the NewTom VG, both with titanium and stainless steel posts and also without posts. Sensitivity, specificity, and accuracy values were calculated as compared to the gold standard. Results: The sensitivity, specificity, and accuracy of VRF diagnosis were significantly lower in teeth with stainless steel and titanium posts than in those without posts. Interobserver agreement was the highest in teeth without posts, followed by stainless steel posts, and then titanium posts. Conclusion: Intracanal posts significantly decreased the VRF diagnostic values of CBCT. The stainless steel posts decreased the diagnostic values more than the titanium posts.

Comparison of Pre-Operation Diagnosis of Thyroid Cancer with Fine Needle Aspiration and Core-needle Biopsy: a Meta-analysis

  • Li, Lei;Chen, Bao-Ding;Zhu, Hai-Feng;Wu, Shu;Wei, Da;Zhang, Jian-Quan;Yu, Li
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.17
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    • pp.7187-7193
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    • 2014
  • Background: The aim of this meta-analysis was to compare sensitivities and specificities of fine needle aspiration (FNA) and core needle biopsy (CNB) in the diagnosis of thyroid cancer. Materials and Methods: Articles were screened in Medline, the Cochrane Library, EMBASE and Google Scholar, and subsequently included and excluded based on the patient/problem-intervention-comparison-outcome (PICO) principle. Primary outcome was defined in terms of diagnostic values (sensitivity and specificity) of FNA and CNB for thyroid cancer. Secondary outcome was defined as the accuracy of diagnosis. Compiled FNA and CNB results from the final studies selected as appropriate for meta-analysis were compared with cases for which final pathology diagnoses were available. Statistical analyses were performed for FNA and CNB for all of the selected studies together, and for individual studies using the leave-one-out approach. Results: Article selection and screening yielded five studies for meta-analysis, two of which were prospective and the other three retrospective, for a total of 1,264 patients. Pooled diagnostic sensitivities of FNA and CNB methods were 0.68 and 0.83, respectively, with specificities of 0.93 and 0.94. The areas under the summary ROC curves were 0.905 (${\pm}0.030$) for FNA and 0.745 (${\pm}0.095$) for CNB, with no significant difference between the two. No one study had greater influence than any other on the pooled estimates for diagnostic sensitivity and specificity. Conclusions: FNA and CNB do not differ significantly in sensitivity and specificity for diagnosis of thyroid cancer.

LI-RADS Version 2018 Treatment Response Algorithm: Diagnostic Performance after Transarterial Radioembolization for Hepatocellular Carcinoma

  • Jongjin Yoon;Sunyoung Lee;Jaeseung Shin;Seung-seob Kim;Gyoung Min Kim;Jong Yun Won
    • Korean Journal of Radiology
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    • v.22 no.8
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    • pp.1279-1288
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    • 2021
  • Objective: To assess the diagnostic performance of the Liver Imaging Reporting and Data System (LI-RADS) version 2018 treatment response algorithm (TRA) for the evaluation of hepatocellular carcinoma (HCC) treated with transarterial radioembolization. Materials and Methods: This retrospective study included patients who underwent transarterial radioembolization for HCC followed by hepatic surgery between January 2011 and December 2019. The resected lesions were determined to have either complete (100%) or incomplete (< 100%) necrosis based on histopathology. Three radiologists independently reviewed the CT or MR images of pre- and post-treatment lesions and assigned categories based on the LI-RADS version 2018 and the TRA, respectively. Diagnostic performances of LI-RADS treatment response (LR-TR) viable and nonviable categories were assessed for each reader, using histopathology from hepatic surgeries as a reference standard. Inter-reader agreements were evaluated using Fleiss κ. Results: A total of 27 patients (mean age ± standard deviation, 55.9 ± 9.1 years; 24 male) with 34 lesions (15 with complete necrosis and 19 with incomplete necrosis on histopathology) were included. To predict complete necrosis, the LR-TR nonviable category had a sensitivity of 73.3-80.0% and a specificity of 78.9-89.5%. For predicting incomplete necrosis, the LR-TR viable category had a sensitivity of 73.7-79.0% and a specificity of 93.3-100%. Five (14.7%) of 34 treated lesions were categorized as LR-TR equivocal by consensus, with two of the five lesions demonstrating incomplete necrosis. Interreader agreement for the LR-TR category was 0.81 (95% confidence interval: 0.66-0.96). Conclusion: The LI-RADS version 2018 TRA can be used to predict the histopathologic viability of HCCs treated with transarterial radioembolization.

Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs

  • Hyoung Suk Park;Kiwan Jeon;Yeon Jin Cho;Se Woo Kim;Seul Bi Lee;Gayoung Choi;Seunghyun Lee;Young Hun Choi;Jung-Eun Cheon;Woo Sun Kim;Young Jin Ryu;Jae-Yeon Hwang
    • Korean Journal of Radiology
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    • v.22 no.4
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    • pp.612-623
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    • 2021
  • Objective: To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs. Materials and Methods: Of 2601 hip AP radiographs, 5076 cropped unilateral hip joint images were used to construct a dataset that was further divided into training (80%), validation (10%), or test sets (10%). Three radiologists were asked to label the hip images as normal or DDH. To investigate the diagnostic performance of the deep learning algorithm, we calculated the receiver operating characteristics (ROC), precision-recall curve (PRC) plots, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and compared them with the performance of radiologists with different levels of experience. Results: The area under the ROC plot generated by the deep learning algorithm and radiologists was 0.988 and 0.988-0.919, respectively. The area under the PRC plot generated by the deep learning algorithm and radiologists was 0.973 and 0.618-0.958, respectively. The sensitivity, specificity, PPV, and NPV of the proposed deep learning algorithm were 98.0, 98.1, 84.5, and 99.8%, respectively. There was no significant difference in the diagnosis of DDH by the algorithm and the radiologist with experience in pediatric radiology (p = 0.180). However, the proposed model showed higher sensitivity, specificity, and PPV, compared to the radiologist without experience in pediatric radiology (p < 0.001). Conclusion: The proposed deep learning algorithm provided an accurate diagnosis of DDH on hip radiographs, which was comparable to the diagnosis by an experienced radiologist.