- Paleopathologic Analysis of a Mummified Pregnant Woman of Papyung Yoon's Family.
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Woon Yong Jeong, Bong Kyung Shin, Chul Hwan Kim, Insun Kim, Woo Rim Kim, Kwang Sik Choe, Chang Sub Uhm, Juck Joon Hwang, Han Kyeom Kim
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Korean J Pathol. 2004;38(6):394-400.
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 Abstract
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- BACKGROUND
A mummy is a dead body of a human being or an animal that has been preserved artificially or naturally from decaying. Because the natural environment of Korea isn't appropriate for mummification and Korean people haven't artificially made mummies, mummies were rarely studied in Korea.
METHODS
On September 6, 2002, a well-preserved female mummy was found in the grave of a family in Kyunggi-do. She was submitted to a thorough autopsy examination along with the review of genealogical documents.
RESULTS
The mummy died in winter. She was pregnant and the fetal head was observed at the vaginal orifice. The uterine wall was ruptured, and the peritoneum was discolored, probably by hemorrhage. Histologically, the gastric mucosa was well preserved. On the smear cytology of gastrointestinal material and the fluid from the coffin, pollens and parasitic eggs were observed. The woman seemed to be death from hypovolemic shock due to uterine rupture during the 2nd phase of labor.
CONCLUSION
From this case, we concluded the causes of the woman's mummification included the cold and dry circumstance at the time of her death, and the thick mortared wall of the grave that completely isolated the body from the outside.
- Quantitative Nuclear Characteristics of Lung Cancer Cells Using Image Analysis.
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Moon Kyoung Kim, Chung Yeul Kim, Woon Yong Jeong, Ji Hye Lee, Eung Seok Lee, Seung Yeon Ha, Young Sik Kim, Han Kyeom Kim, In Sun Kim
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Korean J Pathol. 2003;37(2):115-120.
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Abstract
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- BACKGROUND
The usefulness of quantitative nuclear image analysis in the classification of lung carcinoma is widely investigated and published. In this study, we tried to measure the nuclear characteristics of primary lung carcinomas by image analysis and to find the possibility of differential diagnoses.
METHODS
Seventeen cases of adenocarcinomas (not including bronchioloalveolar carcinoma), seven of bronchioloalveolar carcinomas, eight of large cell neuroendocrine carcinomas, five of small cell carcinamas, and 26 of squamous cell carcinomas were analysed. Three different images of each case were captured by digital camera, and we analyzed the nuclear area, perimeter, circularity, and density using the Optimas 6.5 Image Analyser software package. Statistical analyses were done using the statistical program STATISTICA kernel release 5.5.
RESULTS
The mean nuclear area was 0.52+/-0.25micrometer2 in the adenocarcinomas, 0.50+/-1.82micrometer2 in the squamous cell carcinomas, 0.45+/-0.20micrometer2 in the large cell neuroendocrine carcinomas, 0.42+/-0.16micrometer2 in the bronchioloalveolar carcinomas, and 0.31+/-0.12micrometer2 in the small cell carcinamas. The nuclear area was significantly different between the small cell carcinomas and the non-small cell carcinomas (p<0.01) and between the adenocarcinomas and the bronchioloalveolar carcinomas (p=0.02). The mean nuclear perimeter was 3.36+/-0.92micrometer2 in the adenocarcinomas, 3.24+/-0.67micrometer2 in the squamous cell carcinomas, 3.16+/-0.82micrometer2 in the large cell neuroendocrine carcinomas, 3.05+/-0.80micrometer2 in the bronchioloalveolar carcinomas, and 2.54+/-0.62micrometer2 in the small cell carcinamas. The nuclear perimeter was significantly different between the small cell carcinomas and the non-small cell carcinomas (p<0.04). The nuclear circularity showed no statistical difference. Nuclear density was the highest in the squamous cell carcinomas, and the lowest in the small cell carcinomas. The large cell neuroendocrine carcinomas showed the lowest standard deviation in nuclear density.
CONCLUSION
The analysis of nuclear characteristics using an image analyser can be used as an objective method in the classification of lung carcinoma.
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