The 9th Spring Seminar of the Korean Pathologists Association of North America
Bibliographic record
Abstract
This special section represents the compiled lectures on gastrointestinal, liver, and pancreatic tumors presented at the 9th Spring Seminar of the Korean Pathologists Association of North America (KOPANA) held on March 18 to 20, 2010, in Washington, District of Columbia, in conjunction with the 99th Annual Meeting of the United States and Canadian Academy of Pathology (USCAP). Topics covered include a review of the molecular aspects of colorectal and pancreatic cancers, as well as an update on precursor and early lesions of hepatocellular carcinoma.In his article, Gyeong Hoon Kang, MD, addresses the following topics: (1) 4 molecular subtypes of colorectal cancer exist, which can be defined by the combination of CpG island methylator phenotype and microsatellite instability (MSI) status, with their own clinicopathologic features and precursor lesions; and (2) a geographic difference exists in MSI rate and BRAF mutation rate of colorectal cancers. In her article, Young Nyun Park, MD, PhD, addresses the morphologically recognizable lesions during hepatocarcinogenesis, which include dysplastic lesions (dysplastic foci and dysplastic nodule) and small cancerous lesions (≤2 cm in diameter) (early hepatocellular carcinoma [HCC] and small progressed HCC). Their pathologic features are discussed with emerging biomarkers.In the article by Seung-Mo Hong, MD, PhD, Jason Y. Park, MD, PhD, Ralph H. Hruban, MD, and Michael Goggins, MD, the authors review the genetic and epigenetic mechanisms of pancreatic cancer in the context of histologic features.KOPANA was founded in 1992 and has a membership of more than 200 Korean pathologists in North America who are practicing in a variety of venues such as universities, community hospitals, private laboratories, or research institutes. Currently, about 50 American pathologists of Korean heritage (Korean-American pathologists) regularly attend annual USCAP meetings and have KOPANA membership. This number is growing every year.Ten years ago KOPANA started the Spring Seminar in conjunction with the Annual Meeting of USCAP to provide networking, educational, and recreational opportunities for our members. Our Spring Seminar has been an excellent educational event with speakers selected from among Korean-American pathologists and pathologists practicing in Korea. This has become an ideal venue for professional networking between Korean-American pathologists and pathologists in Korea, particularly for pathologists-in-training (members of the Korean Society of Pathologists). Indeed, participation by young Korean pathologists continues to grow, both in our educational program and at the USCAP meeting.On behalf of KOPANA, we would like to express our appreciation to the editorial board of Archives of Pathology & Laboratory Medicine for the invitation to publish our meeting's lectures in this forum. We hope this special section will be of great benefit to both pathologists in Korea and readers of the Archives.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.075 | 0.035 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".