• 제목/요약/키워드: diagnostic features

검색결과 789건 처리시간 0.027초

A CHARACTERISTIC PLANETARY FEATURE IN CAUSTIC-CROSSING HIGH-MAGNIFICATION MICROLENSING EVENTS

  • Kim, Do-Eon;Han, Cheong-Ho
    • 천문학회지
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    • 제42권3호
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    • pp.33-37
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    • 2009
  • We propose a diagnostic that can resolve the planet/binary degeneracy of central perturbations in caustic-crossing high-magnification microlensing events. The diagnostic is based on the difference in the morphology of perturbation inside the central caustics induced by a planet and a wide-separation binary companion. We find that the contours of excess exhibit a concentric circular pattern around the caustic center for the binary-lensing case, while the contours are elongated or off-centered for the planetary case. This difference results in the distinctive features of the individual lens populations in the residual of the trough region between the two peaks of the caustic crossings, where the shape of the residual is symmetric for binary lensing while it tends to be asymmetric for planetary lensing. We determine the ranges of the planetary parameters for which the proposed diagnostic can be used. The diagnostic is complementary to previously proposed diagnostics in the sense that it is applicable to caustic-crossing events with small finite-source effect.

저어널 베어링으로 지지된 회전축의 이상상태 진단을 위한 진단 전문가 시스템의 개발-로타시스템의 비선형 특성 진단을 위한 연구 (Development of Diagnostic Expert System for Rotating Machinery with Journal Bearing-Research on the Diagnosis of the Nonlinear Characteristics of Rotor System)

  • 유송민;김영진;박상신
    • Tribology and Lubricants
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    • 제17권2호
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    • pp.153-161
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    • 2001
  • The development of techniques in diagnosing the state of the system is one of the essential tools in establishing the automation and unmanned manufacturing system for the realization of CIM/FMS in the fields. In this paper, we developed various diagnostic schemes for the journal bearing supported rotor system. Up to now, vibration of the shaft, measurement of the displacement and the temperature have been used for diagnostic tools, however, the statistical features only could not differentiate the state from states. Thus, we identified the sensor data f3r the steady state in the signal processing and then applied the fuzzy c-mean technology to cope with the nonlinear characteristics of the system. This will, in return, establish a possible diagnostic system for the rotor system in the fields.

Magnetic Resonance Imaging of Placenta Accreta Spectrum: A Step-by-Step Approach

  • Sitthipong Srisajjakul;Patcharin Prapaisilp;Sirikan Bangchokdee
    • Korean Journal of Radiology
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    • 제22권2호
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    • pp.198-212
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    • 2021
  • Placenta accreta spectrum (PAS) is an abnormal placental adherence or invasion of the myometrium or extrauterine structures. As PAS is primarily staged and managed surgically, imaging can only guide and facilitate diagnosis. But, imaging can aid in preparations for surgical complexity in some cases of PAS. Ultrasound remains the imaging modality of choice; however, magnetic resonance imaging (MRI) is required for evaluation of areas difficult to visualize on ultrasound, and the assessment of the extent of placenta accreta. Numerous MRI features of PAS have been described, including dark intraplacental bands, placental bulge, and placental heterogeneity. Failure to diagnose PAS carries a risk of massive hemorrhage and surgical complications. This article describes a comprehensive, step-by-step approach to diagnostic imaging and its potential pitfalls.

유전성 대사질환의 임상증상과 진단 (Diagnosis of inherited metabolic disorders based on their diverse clinical features and laboratory tests)

  • 유한욱
    • Clinical and Experimental Pediatrics
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    • 제49권11호
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    • pp.1140-1151
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    • 2006
  • Inherited metabolic disorders are individually rare but as a whole, they are nor rare. Since Archibald Garrod introduced a concept of "inborn error of metabolism" or "chemical individuality", more than 500 diseases are currently known, affecting approximately one in 500 newborns cumulatively. They frequently manifest with acute, life-threatening crisis that require immediate specific intervention or they present with insidious diverse symptoms and signs involving multiple visceral organs or tissues as well as central nervous system, hampering a correct diagnosis. In addition, many pediatricians are not familiar with all diagnostic and therapeutic strategies for diverse inherited metabolic disorders. However, the prognosis of affected children are heavily dependent on rapid and effective treatment. In this lecture, practical guidelines for the specific diagnosis based on diverse clinical features of inherited metabolic disorders will be described. Many sophisticated laboratory tests are available for confirmatory diagnosis of each disease, which challenge to general pediatricians with respect to knowledge about biochemical metabolite assay test, enzymatic test and DNA diagnostic tests. Sample collections, indications, methods and interpretation of results in varying laboratory tests will be listed as well.

An ADHD Diagnostic Approach Based on Binary-Coded Genetic Algorithm and Extreme Learning Machine

  • Sachnev, Vasily;Suresh, Sundaram
    • Journal of Computing Science and Engineering
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    • 제10권4호
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    • pp.111-117
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    • 2016
  • An accurate approach for diagnosis of attention deficit hyperactivity disorder (ADHD) is presented in this paper. The presented technique efficiently classifies three subtypes of ADHD (ADHD-C, ADHD-H, ADHD-I) and typically developing control (TDC) by using only structural magnetic resonance imaging (MRI). The research examines structural MRI of the hippocampus from the ADHD-200 database. Each available MRI has been processed by a region-of-interest (ROI) to build a set of features for further analysis. The presented ADHD diagnostic approach unifies feature selection and classification techniques. The feature selection technique based on the proposed binary-coded genetic algorithm searches for an optimal subset of features extracted from the hippocampus. The classification technique uses a chosen optimal subset of features for accurate classification of three subtypes of ADHD and TDC. In this study, the famous Extreme Learning Machine is used as a classification technique. Experimental results clearly indicate that the presented BCGA-ELM (binary-coded genetic algorithm coupled with Extreme Learning Machine) efficiently classifies TDC and three subtypes of ADHD and outperforms existing techniques.

점액 유두상 상의세포종의 압착도말 세포학적 소견 - 1예 보고 - (Crush Cytologic Findings of Myxopapillary Ependymoma in Spinal Cord - A Case Report -)

  • 정수진;양영일
    • 대한세포병리학회지
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    • 제10권1호
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    • pp.73-78
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    • 1999
  • Myxopapillary ependymoma generally arise in the conus medullaris and filum terminale of adult spinal cord. These tumors are readily recognized due to unique histopathologic features, however, their cytologic features are not well described. When only a tiny sample is obtained, cytologic examination using crush preparation may be a useful diagnostic tool to help appropriate intraoperative diagnosis. We present the crush cytologic features of myxopapillary ependymoma arising in thoracic and lumbar spinal cord of a 13-year-old boy. The patient had complained of paraparesis and back pain for 1 month. The MRI image revealed a relatively well demarcated intramedullary mass in T11-L1 levels. Crush preparation for cytology were peformed by biopsy material. Crush cytologic findings revealed high cellularity and small sized branching papillary clusters on fibrillary or mucinous background. The tumor cells had uniform round or elongated nuclei. The cytoplasmic process of tumor cells were attached to the vascular wall. Between the tumor cells and vascular walls, the perivascular collar of globoid acellular stroma with metachromatic reaction on toluidin blue stain was noted. The crush preparation of myxopapillary ependymoma is considered as a simple and highly accurate diagnostic tool for differentiation from other intramedullary neoplasms of central nervous system.

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유전성 대사질환의 임상증상과 진단 (Diagnosis of Inherited Metabolic Disorders Based on Their Diverse Clinical Features and laboratory Tests)

  • 유한욱
    • 대한유전성대사질환학회지
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    • 제13권1호
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    • pp.1-19
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    • 2013
  • Inherited metabolic disorders are individually rare but as a whole, they are nor rare. Since Archibald Garrod introduced a concept of "inborn error of metabolism" or "chemical individuality", more than 600 diseases are currently known, affecting approximately one in 500 newborns cumulatively. They frequently manifest with acute, life-threatening crisis that requires immediate specific intervention or they present with insidious diverse symptoms and signs involving multiple visceral organs or tissues as well as central nervous system, hampering a correct diagnosis. In addition, many pediatricians are not familiar with all diagnostic and therapeutic strategies for diverse inherited metabolic disorders. However, the prognosis of affected children are heavily dependent on rapid and effective treatment. In this lecture, practical guidelines for the specific diagnosis based on diverse clinical features of inherited metabolic disorders will be described. Many sophisticated laboratory tests are available for the confirmatory diagnosis of each disease, which is challenging to general pediatricians with respect to knowledge about biochemical metabolite assay test, enzymatic test and DNA diagnostic tests. Sample collections, indications, methods and interpretation of results in varying laboratory tests will be listed as well.

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Multi-biomarkers-Base Alzheimer's Disease Classification

  • Khatri, Uttam;Kwon, Goo-Rak
    • Journal of Multimedia Information System
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    • 제8권4호
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    • pp.233-242
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    • 2021
  • Various anatomical MRI imaging biomarkers for Alzheimer's Disease (AD) identification have been recognized so far. Cortical and subcortical volume, hippocampal, amygdala volume, and genetics patterns have been utilized successfully to diagnose AD patients from healthy. These fundamental sMRI bio-measures have been utilized frequently and independently. The entire possibility of anatomical MRI imaging measures for AD diagnosis might thus still to analyze fully. Thus, in this paper, we merge different structural MRI imaging biomarkers to intensify diagnostic classification and analysis of Alzheimer's. For 54 clinically pronounce Alzheimer's patients, 58 cognitively healthy controls, and 99 Mild Cognitive Impairment (MCI); we calculated 1. Cortical and subcortical features, 2. The hippocampal subfield, amygdala nuclei volume using Freesurfer (6.0.0) and 3. Genetics (APoE ε4) biomarkers were obtained from the ADNI database. These three measures were first applied separately and then combined to predict the AD. After feature combination, we utilize the sequential feature selection [SFS (wrapper)] method to select the top-ranked features vectors and feed them into the Multi-Kernel SVM for classification. This diagnostic classification algorithm yields 94.33% of accuracy, 95.40% of sensitivity, 96.50% of specificity with 94.30% of AUC for AD/HC; for AD/MCI propose method obtained 85.58% of accuracy, 95.73% of sensitivity, and 87.30% of specificity along with 91.48% of AUC. Similarly, for HC/MCI, we obtained 89.77% of accuracy, 96.15% of sensitivity, and 87.35% of specificity with 92.55% of AUC. We also presented the performance comparison of the proposed method with KNN classifiers.

A case report of an unusual temporomandibular joint mass: Nodular fasciitis

  • Han-Sol Lee;Kyu-Young Oh;Ju-Hee Kang;Jo-Eun Kim;Kyung-Hoe Huh;Won-Jin Yi;Min-Suk Heo;Sam-Sun Lee
    • Imaging Science in Dentistry
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    • 제53권1호
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    • pp.83-89
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    • 2023
  • Nodular fasciitis (NF) is a benign myofibroblastic proliferation that grows very rapidly, mimicking a sarcoma on imaging. It is treated by local excision, and recurrence has been reported in only a few cases, even when excised incompletely. The most prevalent diagnoses of temporomandibular joint(TMJ) masses include synovial chondromatosis, pigmented villonodular synovitis, and sarcomas. Cases of NF in the TMJ are extremely rare, and only 3 cases have been reported to date. Due to its destructive features and rarity, NF has often been misdiagnosed as a more aggressive lesion, which could expose patients to unnecessary and invasive treatment approaches beyond repair. This report presents a case of NF in the TMJ, focusing on various imaging features, along with a literature review aiming to determine the hallmark features of NF in the TMJ and highlight the diagnostic challenges.