• Journal of Oral Medicine and Pain
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• v.21 no.1
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• pp.103-113
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• 1996

The author examined the clinical signs and symptoms , routine radiographs, laboratory test and bone scan in 73 subjects with TMJ disorders and studied the responses of clinical test on patients, the distribution of signs and symptoms of joints, the simple uptake rate(SUR) of affected joints , the SUR of subclassified groups of TMJ disorders, active joints of subclassified groups of TMJ disorders and the SUR of joints with noises. The obtained results were as follows : 1. The percentage of joint pain on palpation, joint noises joint pain on function, mandibular dysfunction and active finding of bone scan in aptients with TMJ disorders were higher 2. The SUR was higher in joints affected by joint pain on function, joint pain on palpation, mandibular dysfunction and creptius. 3. The SUR of osteoarthrosis was the lowest. 4. The percentage of active joints were the highest in joints with discdisplacement without reduction, and followed by osteoarthritis, and disc displacement with reduction. 5. The SUR of TMJ showing joint noises only was lower.

• Nuclear Medicine and Molecular Imaging
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• v.43 no.5
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• pp.436-442
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• 2009

Purpose: We underwent this study to evaluate the diagnostic potential of I-123/I-131 metaiodobenzylguanidine (MIBG) scintigraphy alone in the initial diagnosis of pheochromocytoma, compared with biochemical test and anatomic imaging. Materials & Methods: Twenty two patients (M:F=13:9, Age: $44.3{\pm}\;19.3$ years) having the clinical evaluation due to suspicious pheochromocytoma received the biochemical test, anatomic imaging modality (CT and/or MRI) and I-123/I-131 MIBG scan for diagnosis of pheochromocytoma, prior to histopathological confirmation. MIBG scans were independently reviewed by 2 nuclear medicine physicians. Results: All patients were confirmed histopathologically by operation or biopsy (incisional or excisonal). In comparison of final diagnosis and findings of each diagnostic modality, the sensitivities of the biochemical test, anatomic imaging, and MIBG scan were 88.9%, 55.6%, and 88.9%, respectively. And the specificities of the biochemical test, anatomic imaging, and MIBG scan also were 69.2%, 69.2%, and 92.3%, respectively. MIBG scan showed one false positive (neuroblastoma) and one false negative finding. There was one patient with positive MIBG scan and negative findings of the biochemical test, anatomic imaging. Conclusion: Our data suggest that I-123/I-131 MIBG scan has higher sensitivity, specificity, positive predictive value, negative predictive value and accuracy than those of biochemical test and anatomic imaging. Thus, we expect that MIBG scan is e tectively used for initial diagnosis of pheochromocytoma alone as well as biochemical test and anatomic imaging.

• Journal of The Korean Astronomical Society
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• v.25 no.1
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• pp.23-46
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• 1992

The electrical, mechanical and optical capabilities have been tested of the microdensitometer PDS 1010GMS at the Korea Astronomy Observatory. The highest stage of scan speed 255 csu (conventional speed unit) is measured to be 47 mm/s. At this speed the position is displaced by $4{\mu}m$ to the direction of scanning and the density is underestimated by $0.4{\sim}0.7D$. Standard deviation in the measured density is proportional to $A^{-0.46}$, where A is the area of scan aperture. The accuracy of position repeatability is ${\pm}1{\mu}m$, and that of density repeatability is ${\pm}(0.003{\sim}0.03)D$. Callier coefficient is determined to be 1.37; the semispecular density is directly proportional to the diffuse density up to 3.5D. Because the logarithmic amplifier has a finite response time, the densities measured at high scan speeds are underestimated to the degree that speeds higher than 200 csu are inadequate for making an accurate astronomical photometry. After power is on, an about 5 hour period of warming is required to stabilize the system electrically and mechanically as well. On the basis of this performance test, we have determined the followings as the optimum scan parameters for the astronomical photometry: For the scan aperture $10\;\sim\;20{\mu}m$ is optimal, and for the scan speed. $20\;{\sim}\;50$ csu is appropriate. These parameter values are chosen in such a way that they may keep the density repeatability within ${\pm}0.01D$, the position displacement under $1{\mu}m$, and the density underestimation below 0.1D even in high density regions.

• Genomics & Informatics
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• v.17 no.3
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• pp.26.1-26.12
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• 2019

Identification of fusion gene is of prominent importance in cancer research field because of their potential as carcinogenic drivers. RNA sequencing (RNA-Seq) data have been the most useful source for identification of fusion transcripts. Although a number of algorithms have been developed thus far, most programs produce too many false-positives, thus making experimental confirmation almost impossible. We still lack a reliable program that achieves high precision with reasonable recall rate. Here, we present FusionScan, a highly optimized tool for predicting fusion transcripts from RNA-Seq data. We specifically search for split reads composed of intact exons at the fusion boundaries. Using 269 known fusion cases as the reference, we have implemented various mapping and filtering strategies to remove false-positives without discarding genuine fusions. In the performance test using three cell line datasets with validated fusion cases (NCI-H660, K562, and MCF-7), FusionScan outperformed other existing programs by a considerable margin, achieving the precision and recall rates of 60% and 79%, respectively. Simulation test also demonstrated that FusionScan recovered most of true positives without producing an overwhelming number of false-positives regardless of sequencing depth and read length. The computation time was comparable to other leading tools. We also provide several curative means to help users investigate the details of fusion candidates easily. We believe that FusionScan would be a reliable, efficient and convenient program for detecting fusion transcripts that meet the requirements in the clinical and experimental community. FusionScan is freely available at http://fusionscan.ewha.ac.kr/.

• Journal of Korean Dental Science
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• v.8 no.1
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• pp.1-9
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• 2015

Purpose: To evaluate the effectiveness of temporomandibular joint (TMJ) disorder follow-up and determine the factors that affect the TMJ bone scan hot spot numerical value (bone scan value), and to compare this value to the diagnosis of patients with temporomandibular joint disorders (TMD), their treatment options, and the resolution of their symptoms. Materials and Methods: A retrospective cohort study was performed on 24 patients (four males, 20 females) who received TMD treatment in the Section of Dentistry, Seoul National University Bundang Hospital (Seongnam, Korea) from 2007 to 2014. An analysis of the significance test and correlation between TMD diagnosis, treatment options, a baseline the Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD) questionnaire, treatment before and after the clinical examination and subjective progress, and TMJ bone scan value change were completed by using SPSS version 12.0. Result: Although only 14 patients had bony factors that caused TMD, the average pre-treatment bone scan value of the all patients was $4.29{\pm}0.31$, which is higher than the finding for osteoarthritis (3.88), and reduced post-treatment bone scan value was found to be without a statistically significant difference (P=0.056). After the treatments, clinical symptoms in 18 patients disappeared, and six patients did not require additional treatment, although they still displayed subjective symptoms. It was observed that the higher the pre-treatment bone scan value, nonspecific physical symptoms, chronic pain index, characteristic pain intensity, disability score, were, the lower the post-treatment bone scan value was. And this reduced post-treatment bone scan value tendency was not shown with the pre-treatment depression index, but there was not a statistical difference. Conclusion: The post-treatment TMJ bone scan value tended to be insignificantly reduced in the 24 patients whose clinical symptoms were improved (P=0.056). Moreover, the TMJ bone scan value showed no relation to the TMD type or its related symptoms.

• The Journal of Advanced Prosthodontics
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• v.12 no.5
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• pp.307-315
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• 2020

PURPOSE. The purpose of this study was to evaluate the occurrence of displacement while tightening the screw of scan bodies, which were compared according to the material type. MATERIALS AND METHODS. Three types of scan bodies whose base regions were made up of polyether ether ketone (PEEK) material [Straumann Group, Dentium Group, and Myfit (PEEK) Group] and another scan body whose base region was made up of titanium material [Myfit (Metal) Group] were used (15 per group). The reference model was fabricated by aligning the scan body library on the central axis of the implant, and moving this position by the resin model. The screws of the scan bodies were tightened to the implant fixture with torques of 5 Ncm, 10 Ncm, and a hand tightening torque. After the application of the torque, the scan bodies were scanned using a laboratory scanner. To evaluate the vertical, horizontal, and 3-dimensional (3D) displacements, a 3D inspection software program was used. To examine the difference among groups, one-way analysis of variance and Tukey's HSD post hoc test were used (α=.05). RESULTS. There were significant differences in 3D, vertical, and horizontal displacements among the different types of scan bodies (P<.001). There was a significantly lower displacement in the Straumann group than in the Myfit (PEEK) and Dentium groups (P<.05). CONCLUSION. The horizontal displacement in all groups was less than 10 ㎛. With the hand tightening torque, a high vertical displacement of over 100 ㎛ occurred in PEEK scan bodies (Myfit and Dentium). Therefore, it is recommended to apply a tightening torque of 5 Ncm instead of a hand tightening torque.

• Journal of the Korean Society of Radiology
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• v.13 no.2
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• pp.305-311
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• 2019

In this study, present the most useful delay scan time by statistical analysis of SUVm data for 30 suspected pancreatic cancer patients. Two statistical analysis and a mathematical model was applied to the theoretical formula by glucose and insulin mechanics, and a mathematical model was created. Statistical analysis was performed via Metlab p/g. Optimal delay scan time was suggested by Metlab p/g for the change of SUV value over time.In this study, for diagnosis pancreatic cancer by dual time point PET/CT, propose optimal delay scan time 131.5 minuts. The proposed delay scan time showed statistical reliability applicable to the diagnosis of pancreatic cancer (p<0.05). Delayed scanning with the suggested delay scan time of 131.5 minutes is considered to be useful for the diagnosis of pancreatic cancer compared to general PET / CT scan.hen the delayed test is performed with the proposed delay scan time 131.5 minuts, Compared with general PET/CT scans.

• The Research Journal of the Costume Culture
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• v.12 no.2
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• pp.290-299
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• 2004

The purpose of this study is to testify the pattern making method to develop the men's basic bodice pattern using 3-dimensional body scan data. The experimental patterns were made by adding wearing ease on flattened body scan data and tracing the outlines of it. The experimental bodice pattern were composed of front, back, and side panels. To compare the difference between the experimental pattern and traditional pattern, two pattern making methods were compared. Two sets of basic bodice patterns were made for each of the 10 male subjects: a set of pattern was made by experimental method and the other set was made by Bunka pattern making method. The experimental and traditional patterns were measured at 13 dimensions. The results show that there was a difference between the experimental patterns and traditional patterns at the front length, back length, front width, front neck width, back neck width, and back neck depth. The fit was also compared for both patterns. The results of the fit test show that the experimental patterns were superior to the traditional patterns at the fit of neck, shoulder, and armhole. The experimental pattern making method was expected to be useful for mass customization.

• Journal of Korean Dental Science
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• v.13 no.1
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• pp.28-34
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• 2020

Purpose: The purpose of this study was to investigate the influence of different implant computer software on the accuracy of image registration between radiographic and optical scan data. Materials and Methods: Cone-beam computed tomography and optical scan data of a partially edentulous jaw were collected and transferred to three different computer softwares: Blue Sky Plan (Blue Sky Bio), Implant Studio (3M Shape), and Geomagic DesignX (3D systems). In each software, the two image sets were aligned using a point-based automatic image registration algorithm. Image matching error was evaluated by measuring the linear discrepancies between the two images at the anterior and posterior area in the direction of the x-, y-, and z-axes. Kruskal-Wallis test and a post hoc Mann-Whitney U-test with Bonferroni correction were used for statistical analyses. The significance level was set at 0.05. Result: Overall discrepancy values ranged from 0.08 to 0.30 ㎛. The image registration accuracy among the software was significantly different in the x- and z-axes (P=0.009 and <0.001, respectively), but not different in the y-axis (P=0.064). Conclusion: The image registration accuracy performed by a point-based automatic image matching could be different depending on the computer software used.

• Communications for Statistical Applications and Methods
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• v.25 no.4
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• pp.373-383
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• 2018

The spatial scan statistic is a widely used method to detect spatial clusters. The method imposes a large number of scanning windows with pre-defined shapes and varying sizes on the entire study region. The likelihood ratio test statistic comparing inside versus outside each window is then calculated and the window with the maximum value of test statistic becomes the most likely cluster. The results of cluster detection respond sensitively to the shape and the maximum size of scanning windows. The shape of scanning window has been extensively studied; however, there has been relatively little attention on the maximum scanning window size (MSWS) or maximum reported cluster size (MRCS). The Gini coefficient has recently been proposed by Han et al. (International Journal of Health Geographics, 15, 27, 2016) as a powerful tool to determine the optimal value of MRCS for the Poisson-based spatial scan statistic. In this paper, we apply the Gini coefficient to normal-based spatial scan statistics. Through a simulation study, we evaluate the performance of the proposed method. We illustrate the method using a real data example of female colorectal cancer incidence rates in South Korea for the year 2009.