1.Burnt-out Metastatic Prostate Cancer.
Dong Suk SHIN ; Dong Hoe KOO ; Suhyeon YOO ; Deok Yun JU ; Cheol Min JANG ; Kwan Joong JOO ; Hyun Chul SHIN ; Seoung Wan CHAE
Yeungnam University Journal of Medicine 2013;30(2):116-119
A burnt-out prostate cancer tumor is a very rare clinical entity. The term 'burnt-out' refers to a primary tumor that has spontaneously and nearly completely regressed without treatment. Since metastasis of prostate cancer is usually encountered in the presence of advanced disease, distant metastasis with an undetectable primary tumor is very rare. We report herein a case of a burnt-out prostate cancer tumor that metastasized to the thoracic (T) spine and caused cord compression. A 66-year-old man visited the Emergency Department due to weakness of both legs for the past two days. His blood and urine tests were normal at the time. His spine magnetic resonance imaging (MRI) scans looked like bone metastasis that involved the T-7 vertebral body and a posterior element, and caused spinal cord compression. Other images, including from the brain MRI, neck/chest/abdomino-pelvic computed tomography (CT) scan and 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) and endoscopy, revealed no lesions that suggested malignancy. After total corpectomy T-7 and screw fixation/fusion at T5 to T10, the pathology report revealed a metastatic carcinoma that was strongly positive for prostate-specific antigen (PSA). The serum PSA value was 1.5 ng/mL. The transrectal 12-core prostate biopsy and ultrasonography showed no definitive hypoechoic lesion, but one specimen had slight (only 1%) adenocarcinoma with a Gleason score of 6 (3+3). The final diagnosis was burned-out prostate cancer with an initial normal PSA value. Although metastatic disease with an unknown primary origin was confirmed, a more aggressive approach in seeking the primary origin could provide a more specific treatment strategy and greater clinical benefit to patients.
Adenocarcinoma
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Aged
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Biopsy
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Brain
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Diagnosis
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Emergencies
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Endoscopy
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Humans
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Leg
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Magnetic Resonance Imaging
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Neoplasm Grading
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Neoplasm Metastasis
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Pathology
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Prostate*
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Prostate-Specific Antigen
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Prostatic Neoplasms*
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Spinal Cord Compression
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Spine
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Ultrasonography
2.Fatigue Severity and Factors Associated with High Fatigue Levels in Korean Patients with Inflammatory Bowel Disease.
Suhyeon YOO ; Yoon Suk JUNG ; Jung Ho PARK ; Hong Joo KIM ; Yong Kyun CHO ; Chong Il SOHN ; Woo Kyu JEON ; Byung Ik KIM ; Dong Il PARK
Gut and Liver 2014;8(2):148-153
BACKGROUND/AIMS: Many patients with inflammatory bowel disease (IBD) often complain of fatigue. To date, only a few studies in Western countries have focused on fatigue related to IBD, and fatigue has never been specifically studied in Asian IBD patients. The aim of the present study was to investigate the fatigue level and fatigue-related factors among Korean IBD patients. METHODS: Patients in remission or with mild to moderate IBD were included. Fatigue was assessed using the Functional Assessment of Chronic Illness Therapy-Fatigue and the Brief Fatigue Inventory. Corresponding healthy controls (HCs) also completed both fatigue questionnaires. RESULTS: Sixty patients with Crohn disease and 68 patients with ulcerative colitis (UC) were eligible for analysis. The comparison group consisted of 92 HCs. Compared with the HCs, both IBD groups were associated with greater levels of fatigue (p<0.001). Factors influencing the fatigue score in UC patients included anemia and a high erythrocyte sedimentation rate (ESR). CONCLUSIONS: Greater levels of fatigue were detected in Korean IBD patients compared with HCs. Anemia and ESR were determinants of fatigue in UC patients. Physicians need to be aware of fatigue as one of the important symptoms of IBD to better understand the impact of fatigue on health-related quality of life.
Adult
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Case-Control Studies
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Colitis, Ulcerative/*complications/ethnology
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Crohn Disease/*complications/ethnology
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Fatigue/ethnology/*etiology
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Female
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Humans
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Male
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Republic of Korea/ethnology
3.Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0
Sunho KIM ; Royoung KIM ; Ryeo-Gyeong KIM ; Enjin KO ; Han-Su KIM ; Jihye SHIN ; Daeun CHO ; Yurhee JIN ; Soyeon BAE ; Ye Won JO ; San Ah JEONG ; Yena KIM ; Seoyeon AHN ; Bomi JANG ; Jiheyon SEONG ; Yujin LEE ; Si Eun SEO ; Yujin KIM ; Ha-Jeong KIM ; Hyeji KIM ; Hye-Lynn SUNG ; Hyoyoung LHO ; Jaywon KOO ; Jion CHU ; Juwon LIM ; Youngju KIM ; Kyungyeon LEE ; Yuri LIM ; Meongeun KIM ; Seonjeong HWANG ; Shinhye HAN ; Sohyeun BAE ; Sua KIM ; Suhyeon YOO ; Yeonjeong SEO ; Yerim SHIN ; Yonsoo KIM ; You-Jung KO ; Jihee BAEK ; Hyejin HYUN ; Hyemin CHOI ; Ji-Hye OH ; Da-Young KIM ; Hee-Jo NAM ; Hyun-Seok PARK
Genomics & Informatics 2020;18(3):e33-
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.
4.Organizing an in-class hackathon to correct PDF-to-text conversion errors of Genomics & Informatics 1.0
Sunho KIM ; Royoung KIM ; Ryeo-Gyeong KIM ; Enjin KO ; Han-Su KIM ; Jihye SHIN ; Daeun CHO ; Yurhee JIN ; Soyeon BAE ; Ye Won JO ; San Ah JEONG ; Yena KIM ; Seoyeon AHN ; Bomi JANG ; Jiheyon SEONG ; Yujin LEE ; Si Eun SEO ; Yujin KIM ; Ha-Jeong KIM ; Hyeji KIM ; Hye-Lynn SUNG ; Hyoyoung LHO ; Jaywon KOO ; Jion CHU ; Juwon LIM ; Youngju KIM ; Kyungyeon LEE ; Yuri LIM ; Meongeun KIM ; Seonjeong HWANG ; Shinhye HAN ; Sohyeun BAE ; Sua KIM ; Suhyeon YOO ; Yeonjeong SEO ; Yerim SHIN ; Yonsoo KIM ; You-Jung KO ; Jihee BAEK ; Hyejin HYUN ; Hyemin CHOI ; Ji-Hye OH ; Da-Young KIM ; Hee-Jo NAM ; Hyun-Seok PARK
Genomics & Informatics 2020;18(3):e33-
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first hackathon of Genomics & Informatics Annotation Hackathon (GIAH) event. Extracting text from multi-column biomedical documents such as Genomics & Informatics is known to be notoriously difficult. The hackathon was piloted as part of a coding competition of the ELTEC College of Engineering at Ewha Womans University in order to enable researchers and students to create or annotate their own versions of the Genomics & Informatics corpus, to gain and create knowledge about corpus linguistics, and simultaneously to acquire tangible and transferable skills. The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.