• Title/Summary/Keyword: Diagnostic laboratory test

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Levels of Tobacco-specific Metabolites among Non-smoking Lung Cancer Cases at Diagnosis: Case-control Findings

  • Hwang, Sang-Hyun;Ryu, Hye-Jung;Kang, Soo Jin;Yun, E. Hwa;Lim, Min Kyung;Kim, Heung Tae;Lee, Jin Soo;Lee, Do-Hoon
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.11
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    • pp.6591-6593
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    • 2013
  • Background: Environmental tobacco smoking (ETS) significantly contributes to morbidity and mortality and is a known risk factor for lung cancer development in lifelong nonsmokers. The metabolite 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) and its glucuronides (NNAL-Glucs) have now emerged as leading biomarkers for the study of carcinogen exposure in non-smokers exposed to ETS. Materials and Methods: We carried out our study on NNAL in the urine of non-smokers exposed to ETS and the association between ETS and lung cancer. Subjects were enrolled from 2008-2010. NNAL was analyzed for 74 non-smoking lung cancer and 85 healthy controls. The main objective of this study was to provide an estimate of the risk of lung cancer from exposure to ETS in the Korean population. Results: The mean NNAL concentration in urine was significantly lower in non-smoking patient groups (n=74) than in control groups (n=85) ($4.7{\pm}15.0$ pg/mg, $6.5{\pm}17.9$ pg/mg, respectively, Mann-Whitney U test, p<0.001). Conclusions: The urine NNAL of non-smoking patients with lung cancer was not elevated with regard to the non-smoking control group. This may be due to life-style changes after diagnosis. A prospective study will be needed to evaluate the association of NNAL and non-smoking lung cancer.

Roles of Immunohistochemical Staining in Diagnosing Pulmonary Squamous Cell Carcinoma

  • Yan, Yue;Zhang, Ya-Xiong;Fang, Wen-Feng;Kang, Shi-Yang;Zhan, Jian-Hua;Chen, Nan;Hong, Shao-Dong;Liang, Wen-Hua;Tang, Yan-Na;He, Da-Cheng;Wu, Xuan;Zhang, Li
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.2
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    • pp.551-557
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    • 2015
  • Background: Differentiating morphologic features based on hematoxylin-eosin (HE) staining is the most common method to classify pathological subtypes of non-small-cell lung cancer (NSCLC). However, its accuracy and inter-observer reproducibility in pathological diagnosis of poorly differentiated NSCLC remained to be improved. Materials and Methods: We attempted to explore the role of immunohistochemistry (IHC) staining in diagnosing pulmonary squamous cell carcinoma (SQCC) with poorly differentiated features by HE staining or with elevated serum adenocarcinoma-specific tumor markers (AD-TMs). We also compared the difference of epidermal growth factor receptor (EGFR) mutation rate between patients with confirmed SQCC and those with revised pathological subtype. Logistic regression analyses were used to test the association between different factors and diagnostic accuracy. Results: A total of 132 patients who met the eligible criteria and had adequate specimens for IHC confirmation were included. Pathological revised cases in poor differentiated subgroup, biopsy samples and high-level AD-TMs cases were more than those with high/moderate differentiation, surgical specimens and normal-level AD-TMs. Moreover, biopsy sample was a significant factor decreasing diagnostic accuracy of pathological subtype (OR, 4.037; 95% CI 1.446-11.267, p=0.008). Additionally, EGFR mutation rate was higher in patients with pathological diagnostic changes than those with confirmed SQCC (16.7% vs 4.4%, p=0.157). Conclusions: Diagnosis based on HE staining only might cause pathological misinterpretation in NSCLC patients with poor differentiation or high-level AD-TMs, especially those with biopsy samples. HE staining and IHC should be combined as pathological diagnostic standard. The occurrence of EGFR mutations in pulmonary SQCC might be overestimated.

Chromosomal Microarray Testing in 42 Korean Patients with Unexplained Developmental Delay, Intellectual Disability, Autism Spectrum Disorders, and Multiple Congenital Anomalies

  • Lee, Sun Ho;Song, Wung Joo
    • Genomics & Informatics
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    • v.15 no.3
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    • pp.82-86
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    • 2017
  • Chromosomal microarray (CMA) is a high-resolution, high-throughput method of identifying submicroscopic genomic copy number variations (CNVs). CMA has been established as the first-line diagnostic test for individuals with developmental delay (DD), intellectual disability (ID), autism spectrum disorders (ASDs), and multiple congenital anomalies (MCAs). CMA analysis was performed in 42 Korean patients who had been diagnosed with unexplained DD, ID, ASDs, and MCAs. Clinically relevant CNVs were discovered in 28 patients. Variants of unknown significance were detected in 13 patients. The diagnostic yield was high (66.7%). CMA is a superior diagnostic tool compared with conventional karyotyping and fluorescent in situ hybridization.

Spondylodiscitis Misdiagnosed as Spinal Stenosis and Compression Fracture -A report of two cases- (요척주관 협착증과 압박 골절로 오인된 척추 추간판염 2예 -증례보고-)

  • Hong, Ji Hee;Kim, Sae-Young;Han, Sung Ho
    • The Korean Journal of Pain
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    • v.22 no.2
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    • pp.176-180
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    • 2009
  • Cases of pyogenic spondylodiscitis are relatively rare diseases that concern 2-7% of total cases of osteomyelitis. Owing to the low frequency and initial nonspecific nature of signs and symptoms, diagnosis is often delayed up to 2-6 months. If the proper treatment is not established due to a diagnostic delay, there is a possibility of a serious neurologic deficit and spinal instability. We report two cases of infectious spondylodiscitis which were misdiagnosed as compression fracture and spinal stenosis respectively. They could be correctly diagnosed after MRI and laboratory test and under the recovery state after an antifungal and antibiotic medication. Special careful attention during the diagnostic procedure is a really important step considering the diagnostic delay and its resultant unsatisfactory outcome.

Clinical Significance and Prognostic Value of Pentraxin-3 as Serologic Biomarker for Lung Cancer

  • Zhang, Dai;Ren, Wei-Hong;Gao, Yun;Wang, Nian-Yue;Wu, Wen-Jun
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.7
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    • pp.4215-4221
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    • 2013
  • Purposes: Lung cancer is prevalent worldwide and improvements in timely and effective diagnosis are need. Pentraxin-3 as a novel serum marker for lung cancer (LC) has not been validated in large cohort studies. The aim of the study was to assess its clinical value in diagnosis and prognosis. Methods: We analyzed serum PTX-3 levels in a total of 1,605 patients with LC, benign lung diseases and healthy controls, as well as 493 non-lung cancer patients including 12 different types of cancers. Preoperative and postoperative data were further assessed in patients undergoing LC resection. The diagnostic performance of PTX-3 for LC and early-stage LC was assessed using receiver operating characteristics (ROC) by comparing with serum carcinoembryonic antigen (CEA), cytokeratin 19 fragments (CYFRA 21-1). Results: Levels of PTX-3 in serum were significantly higher in patients with LC than all controls. ROC curves showed the optimum diagnostic cutoff was 8.03ng/mL (AUC 0.823, [95%CI 0.789-0.856], sensitivity 72.8%, and specificity 77.3% in the test cohort; 0.802, [95%CI 0.762-0.843], sensitivity 69.7%, and specificity 76.4% in the validate cohort). Similar diagnostic performance of PTX-3 was observed for early-stage LC. PTX-3 decreased following surgical resection of LC and increased with tumor recurrence. Significantly elevated PTX-3 levels were also seen in patients with non-lung cancers. Conclusions: The present data revealed that PTX-3 was significantly increased in both tissue and serum samples in LC patients. PTX-3 is a valuable biomarker for LC and improved identification of patients with LC and early-stage LC from those with non-malignant lung diseases.

Clinical Study of Infectious Mononucleosis (전염성 단핵구증의 임상적 고찰)

  • 이형석;이승환;권순욱;김경래;허영돈
    • Korean Journal of Bronchoesophagology
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    • v.5 no.1
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    • pp.22-29
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    • 1999
  • Background: Infectious mononucleosis is a disease precipitated by Epstein-Barr virus(EBV) in mostly children, some seronegative adolescents and young adults comprising clinical symptoms such as fever, lymphadenopathy, and pharyngitis as well as laboratory findings such as hetero-phil antibodies and atypical lymphocytosis. It is confirmed by serologic test for EBV. Materials and Methods: A retrospective evaluation of 26 patients who diagnosed with infectious mononucleosis was peformed through the analysis of typical symptom, sign and laboratory findings. Results : Infectious mononucleosis occurs mostly at 3 to 10 years (74.9%), common symptoms and signs are fever, cervical lymphadenopathy, tonsillar enlargement and exudate. Positive ratio of atypical Lymphocyte(>10%) and hetrophil antibodies are 61.5%, 35.2% respectively, it is less diagnostic. EBV-viral capsid antigen(VCA) IgM are positive in all cases, so it is most diagnostic findings. Conclusion: Infectious mononucleosis should be considered as a cause of cervical lymphadenopathy and pharyngotonsillitis in children and young adults, the assessment of EBV-VCA IgM is necessary for the diagnosis.

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Classification of Mouse Lung Metastatic Tumor with Deep Learning

  • Lee, Ha Neul;Seo, Hong-Deok;Kim, Eui-Myoung;Han, Beom Seok;Kang, Jin Seok
    • Biomolecules & Therapeutics
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    • v.30 no.2
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    • pp.179-183
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    • 2022
  • Traditionally, pathologists microscopically examine tissue sections to detect pathological lesions; the many slides that must be evaluated impose severe work burdens. Also, diagnostic accuracy varies by pathologist training and experience; better diagnostic tools are required. Given the rapid development of computer vision, automated deep learning is now used to classify microscopic images, including medical images. Here, we used a Inception-v3 deep learning model to detect mouse lung metastatic tumors via whole slide imaging (WSI); we cropped the images to 151 by 151 pixels. The images were divided into training (53.8%) and test (46.2%) sets (21,017 and 18,016 images, respectively). When images from lung tissue containing tumor tissues were evaluated, the model accuracy was 98.76%. When images from normal lung tissue were evaluated, the model accuracy ("no tumor") was 99.87%. Thus, the deep learning model distinguished metastatic lesions from normal lung tissue. Our approach will allow the rapid and accurate analysis of various tissues.

Validity of MAST-CLA for diagnosis of arthropod allergy using receiver operating characteristic (ROC) analysis

  • Park, Joon-Soo;Nam, Hae-Seon;Kim, Yong-Bae;Choi, Young-Jin;Lee, Sang-Han;Kim, Sung-Ho
    • Parasites, Hosts and Diseases
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    • v.45 no.3
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    • pp.239-243
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    • 2007
  • Many allergists are currently focusing on the development of new diagnostic tools, and are attempting to improve both the sensitivity and specificity. A multiple allergen simultaneous test-chemiluminescent assay (MAST-CLA) is one of the most popular diagnostic tools used in the Republic of Korea. However, there remains controversy among allergists with regard to the cut-off point for a positive result. The present study was conducted in order to determine the validity of MAST-CLA as compared with that of the skin prick test, with particular emphasis on arthropod allergens, on the basis of percentage agreement rates and k-values, and also to suggest the optimal positive cutoff points using receiver operating characteristic (ROC) curves. The study was conducted with 97 subjects (54 men, 43 women). Optimal individual cut-off points were calculated as follows; class II for Dermatophagoides farinae, class I for Dermatophagoides pteronyssinus, and trace for a cockroach mix. These findings suggest that attempting to apply optimal individual cut-off points will be a good way of improving diagnostic tests, particularly MAST-CLA.

Development of Fuzzy Rule-based Liver Function Test Diagnosis System (퍼지 규칙기반 간 기능 검사 해석 시스템의 개발)

  • Kim, Jong-Won;Oh, Kyung-Whan
    • Proceedings of the KOSOMBE Conference
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    • v.1992 no.05
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    • pp.155-160
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    • 1992
  • Liver function test is one of the most common tests for diagnosis and follow-up of patients and for heal th screening. Automatic interpretation and suggestions on the diagnostic possibilities contribute to shorten the interpretation time of the test results and help to provide qualified health care. Fuzzy logic has been recently introduced and being spread for these purposes. The present study aims at model Ins the foray rule-based laboratory diagnosis system. The fuzzy rule-based laboratory diagnosis system was applied to the diagnosis regarding liver function test. The system was evaluated by comparing with the stepwise multivariate discriminant function analysis, which showed similar results, and the overall accuracy of the fuzzy diagnosis system was about 80%.

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