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Inflammatory Myofibroblastic Tumor of the Prostate Mimicking Prostate Cancer: A Case Report
Kim Hyojoo,Kwon Eun Young,Kim Youe Ree,Kim Hun Soo,Lee Young Hwan 대한자기공명의과학회 2023 Investigative Magnetic Resonance Imaging Vol.27 No.2
Inflammatory myofibroblastic tumor (IMT) is an uncommon soft tissue tumor mimicking malignancy, which can be found in any part of the body. However, IMT involving the prostate is extremely rare. Previous reports on prostatic IMTs mainly focused on the pathological and immunohistochemical findings of the tumor and they lacked radiological findings. This report presents a case of prostatic IMT in a 60-year-old man who presented with voiding difficulty and elevated prostate-specific antigen (PSA) level. On magnetic resonance imaging, a hypointense mass was observed on T2-weighted images with broad and extensive extracapsular extension, showing diffusion restriction, early well enhancement and delayed mild washout, which could mimic prostate cancer. On needle biopsy of the prostate mass, cancer cells were not detected; and a benign tumor was suspected with a normalized PSA level. Finally, prostatectomy was performed to rule out prostate cancer; and prostatic IMT was confirmed on histopathologic examination.
Kim, Changwan,Son, Hyojoo,Kim, Hyoungkwan,Han, Seung Heon Canadian Science Publishing 2008 Canadian journal of civil engineering. Revue canad Vol.35 No.11
<P> In recent decades, the need for effective automation of data acquisition and three-dimensional (3D) modeling in the construction industry has been increasing. Most of the 3D modeling methods developed thus far are generally inadequate for construction automation on account of the long processing times involved and the high cost of the devices used for that purpose; moreover, they tend to include a significant level of manual operation. Flash laser distance and ranging (LADAR), which has been developed recently, entails illumination of an entire scene with diffuse laser light. This characteristic enables it to rapidly model actual construction sites in a comparatively fast and cost-effective manner. In this study, flash LADAR technology was tested for its ability to handle the dynamic nature of a construction site in an effective way. Indoor experiments were carried out to characterize the performance of the flash LADAR system, and outdoor experiments were performed on actual construction sites to demonstrate the applicability of the system to 3D modeling of such environments. The results indicate that 3D modeling via flash LADAR has the potential of being quite beneficial for construction automation. </P>
Recurrent Post-Traumatic Adrenal Bleeding after Transcatheter Arterial Embolization: A Case Report
Hyojoo Kim,Sang Hyun Seo,Hyun Seok Jung 대한영상의학회 2023 대한영상의학회지 Vol.84 No.6
Adrenal gland trauma is uncommon and is diagnosed at an increasing frequency using CT scans. However, owing to the rarity of this injury and its diverse clinical presentations and prognoses, there is no consensus on its management. In this case report, a 73-year-old male patient experienced recurrent bleeding in the right adrenal gland due to an in-car traffic accident, which was treated with repeated transcatheter arterial embolization.
Son, Hyojoo,Hwang, Nahyae,Kim, Changmin,Kim, Changwan Elsevier 2014 AUTOMATION IN CONSTRUCTION - Vol.42 No.-
There has been an increased interest in the use of robotic systems to automate the blasting tasks in steel bridge maintenance. To utilize such robotic systems effectively, an automated process for determining the rusted areas on a steel bridge to be blasted is a prerequisite. This study proposes a method to rapidly and accurately determine rusted surface areas on a steel bridge that are to be blasted, within current standards. The proposed method consists of three steps: color space conversion, classification of rusted area via the J48 decision tree algorithm, and determination of blasting area. The method was validated using 119 test images showing both normal states and various degrees of rusting and rust distribution types. The experimental results showed that the success rate for determining the rusted areas that needed blasting was 97.48%. The average processing time was 0.57 s/image. The results demonstrate that the proposed method rapidly and accurately indicated whether blasting was necessary, and if so, where blasting should be performed, based on current standards of practice. (C) 2014 Elsevier B.V. All rights reserved.
Son, Hyojoo,Kim, Changmin,Kim, Changwan American Society of Civil Engineers 2015 Journal of computing in civil engineering Vol.29 No.4
<P> There has been a growing demand for the three-dimensional (3D) reconstruction of as-built pipelines. The as-built 3D pipeline reconstruction process consists of the measurement of an industrial plant, identification of pipelines, and generation of 3D models of the pipelines. Although measurement is now efficiently performed using laser-scanning technology, and in spite of significant progress in 3D pipeline model generation, the identification of pipelines from large and complex sets of laser-scanned data continues to pose a challenge. The aim of this study is to propose a method to automatically extract 3D points corresponding to as-built pipelines that occupy large areas of industrial plants from laser-scanned data. The proposed extraction method consists of the following steps: preprocessing, segmentation of the 3D point cloud, feature extraction based on curvature computation, and pipeline classification. An experiment was performed at an operating industrial plant to validate the proposed method. The experimental result revealed that the proposed method can indeed contribute to the automation of as-built 3D pipeline reconstruction. </P>