지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한병리학회 Journal of Pathology and Translational Medicine Journal of Pathology and Translational Medicine 제50권 제5호
- 발행연도
- 2016.1
- 수록면
- 355 - 360 (6page)
이용수
초록· 키워드
오류제보하기
Background: There is subjective disagreement regarding nuclear clearing in papillary thyroid carcinoma. In this study, using digital instruments, we were able to quantify many ambiguous pathologic features and use numeric data to express our findings. Methods: We examined 30 papillary thyroid carcinomas. For each case, we selected representative cancer cells showing clear nuclei and surrounding non-neoplastic follicular epithelial cells and evaluated objective values of green light intensity (GLI) for quantitative analysis of nuclear clearing in papillary thyroid carcinoma. Results: From 16,274 GLI values from 600 cancer cell nuclei and 13,752 GLI values from 596 nonneoplastic follicular epithelial nuclei, we found a high correlation of 94.9% between GLI and clear nuclei. GLI between the cancer group showing clear nuclei and non-neoplastic follicular epithelia was statistically significant. The overall average level of GLI in the cancer group was over two times higher than the non-neoplastic group despite a wide range of GLI. On a polygonal line graph, there was a fluctuating unique difference between both the cancer and non-neoplastic groups in each patient, which was comparable to the microscopic findings. Conclusions: Nuclear GLI could be a useful factor for discriminating between carcinoma cells showing clear nuclei and non-neoplastic follicular epithelia in papillary thyroid carcinoma.
목차
등록된 정보가 없습니다.
참고문헌 (17)
참고문헌 신청
LiVolsi VA / 2011 / Papillary thyroid carcinoma: an update / Mod Pathol 24(Suppl 2):s1~s9
Neltner JH / 2012 / Digital pathology and image analysis for robust high-throughput quantitative assessment of Alzheimer disease neuropathologic changes / J Neuropathol Exp Neurol 71:1075~1085
El Hallani S / 2015 / Evaluation of quantitative digital pathology in the assessment of Barrett eophagus-associated dysplasia / Am J Clin Pathol 144:151~164
Guillaud M / 2008 / Potential use of quantitative tissue phenotype to predict malignant risk for oral premalignant lesions / Cancer Res 68:3099~3107
Huang W / 2013 / A colorful future of quantitative pathology: validation of Vectra technology using chromogenic multiplexed immunohistochemistry and prostate tissue microarrays / Hum Pathol 44:29~38
Neltner JH / 2012 / Digital pathology and image analysis for robust high-throughput quantitative assessment of Alzheimer disease neuropathologic changes / J Neuropathol Exp Neurol 71:1075~1085
El Hallani S / 2015 / Evaluation of quantitative digital pathology in the assessment of Barrett eophagus-associated dysplasia / Am J Clin Pathol 144:151~164
Guillaud M / 2008 / Potential use of quantitative tissue phenotype to predict malignant risk for oral premalignant lesions / Cancer Res 68:3099~3107
Huang W / 2013 / A colorful future of quantitative pathology: validation of Vectra technology using chromogenic multiplexed immunohistochemistry and prostate tissue microarrays / Hum Pathol 44:29~38
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