New WHO histological classification of renal epithelial tumors
Bibliographic record
Abstract
Napredak u dijagnostici proveden na temelju morfologije, imunohistokemije i molekularnih metoda doveo je do identifikacije novih entiteta u patologiji bubrežnih tumora. Iz tih je razloga Međunarodno društvo za urološku patologiju (ISUP) preporučilo izmjene klasifikacije tumora bubrega SZO-a 2004. pod nazivom ISUP Vancouver Modifikacija SZO histološke klasifikacije bubrega tumora koja je i službeno, s manjim izmjenama ove, 2016. godine, predstavljena u 4. izdanju SZO-ove klasifikacije tumora mokraćnog sustava i muških spolnih organa. Cilj je ovoga članka kroz pregled literature ukratko predstaviti novu podjelu karcinoma bubrežnih stanica i nove entitete prepoznate po histološkim i genetskim karakteristikama te usmjeriti pažnju na važnost onih osobina tumora koje određuju stupanj i stadij bolesti, a imaju velik prognostički značaj. Nova će klasifikacija omogućiti patolozima da usuglase svoje izvještaje, a ostalim strukama dati uvid u promjene u nalazima patologa.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".