Spontaneous Suburothelial Hemorrhage: The Crucial Role of Radiology in Preventing Unnecessary Interventions
Bibliographic record
Abstract
Spontaneous suburothelial hemorrhage (SSH), also known as Antopol Goldman lesion, is a rare condition characterized by spontaneous bleeding into the renal sinus and proximal ureter wall. This case report describes the clinical presentation, imaging findings, and management of SSH in a 20-year-old female initially suspected to have urothelial malignancy. Imaging features of SSH include pre-contrast hyperdensity and non-enhancing thickening of the pelviureteric wall, which can mimic transitional cell carcinoma (TCC) and lead to unnecessary interventions. Radiologists should maintain a high level of suspicion for SSH and be aware of its imaging characteristics to avoid misdiagnosis. Additionally, clinical data, such as bleeding dyscrasia, can aid in the imaging diagnosis. This report provides insights into the diagnosis and management of SSH while offering a comprehensive literature review on its clinical presentation and imaging features. Increased awareness of SSH will facilitate accurate diagnosis and appropriate management, avoiding unnecessary interventions for patients with this benign condition.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".