Xanthogranulomatous pyelonephritis presenting as a pseudotumour
Bibliographic record
Abstract
INTRODUCTION: Xanthogranulomatous pyelonephritis (XGPN) is an atypical form of chronic pyelonephritis referred to as the "great imitator" because the clinical and radiological findings closely resemble other pathological entities, especially for the focal forms. Distinguishing focal XGPN from renal cancer is preoperatively difficult. METHODS: We report a total number of 12 pseudotumoural XGPN cases diagnosed and treated in our department. The aim of this study is to try to better understand the clinicopathological profile of XGPN and improve its management. RESULTS: The mean age of patients was 51.52 years. Gender ratio was 0.71. An obstructive renal calculus was noticed in nine patients (75%). Only one patient (8.3 %) presented with loin pain associated with fever, weight loss, asthenia, and increased biological inflammation markers. A bifocal mass was noticed in one case (8.3 %). The average size of the tumour was 6.58 cm. The mass was cystic in three cases (25 %). Perinephral fat strand, thickening of Gerota's fascia, hydronephrosis, and presence of renal calculi was noticed in all solid tumour cases. XGPN was suspected in only one case (8.3%), a percutaneous biopsy showed XGPN lesions treated by antibiotics and a double J drainage. Radical nephrectomy was performed in eight patients (66.7 %) and three patients underwent partial nephrectomy (25 %). No recurrence of XGPN has been noted. CONCLUSION: Pseudotumoural XGPN is a rare benign disease of the kidney. Its treatment should be conservative. Lack of knowledge of this disease may explain the high rate of abusive nephrectomies. These data should be considered in the future.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".