International Society of Urological Pathology Consensus Meeting 2024
Bibliographic record
Abstract
Preneoplastic and precursor lesions are important to recognize and report, as they can influence clinical management decisions. The International Society of Urological Pathology (ISUP) organized a consensus meeting in Florence, Italy, in September 2024 focused on preneoplastic and precursor lesions of the genitourinary organs. Working group 2 was assigned the topic of bladder and a group of pathologists and clinicians was convened. They developed a 46 question premeeting survey for the ISUP membership assessing flat, papillary, squamous, and glandular entities and clinical issues to determine use of terminology, reporting practices, and areas that needed to be addressed at the consensus meeting. The premeeting survey results showed consistency in the terminology used by pathologists, similarities in reporting practices, and highlighted areas of uncertainty with respect to whether certain entities could be classified as precursors/preneoplastic. The results enabled the working group to conduct focused literature reviews and to develop a presentation and set of in-meeting polling questions to address the problematic topics from the survey results. Overall, 14/18 in-meeting polling questions achieved consensus. The surveys and in-person voting demonstrated a strong preference to use existing terminology such as dysplasia, verrucous squamous, and papillary hyperplasia, to grade glandular and squamous dysplasia and to judiciously use immunohistochemistry to classify lesions. Pathologists expressed highly variable opinions with respect to questions about quantification, management recommendations, and inclusion of newer entities as precursors/preneoplastic lesions.
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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 | 0.059 | 0.061 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.017 | 0.012 |
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".