Retroperitoneal Liposarcoma: The Giant Type
Why this work is in the frame
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Bibliographic record
Abstract
Retroperitoneal tumors (RPTs) are very rare tumors that arise in the large space of the retroperitoneum. About two-third of these tumors are malignant, of which soft tissue sarcoma (STS) is the most common and comprises almost one-third of malignant RPTs. Twenty to thirty percent of RPTs are benign. The retroperitoneal cavity has a very large potential space for tumor enlargement to a very high diameters without causing specific symptoms, especially during the initial phase of tumor enlargement. On diagnosis, the average tumor weight is 15 - 20 kg and tumor diameter is 20 - 25 cm. The most common retroperitoneal sarcoma type is liposarcoma, which account for 20% of all sarcoma types and 40% of all retroperitoneal sarcomas (RPSs). Other less common STS arise in the retroperitoneum include leiomyosarcoma and undifferentiated pleomorphic type. Giant liposarcoma is usually defined either as tumor diameter of 30 cm or more or tumor weight of 20 kg or higher. This specific type of sarcoma is very uncommon, with few case reports published in the English literature. Herein, we present a case of a healthy 33-year-old male patient, who was admitted due to abdominal distension and increased body weight since few months. An abdominopelvic computed tomography (CT) scan demonstrated a giant retroperitoneal mass of almost 40 cm in diameter in its largest dimension, located in the right retroperitoneal space. Ultrasound (US)-guided fine needle biopsy (FNB) was consistent with well differentiated liposarcoma. Surgical resection of the tumor along with the right colon, right ureter and kidney, third and fourth duodenal parts and part of the right iliopsoas muscle was contemplated. Histopathological report revealed well-differentiated liposarcoma of 50 cm in diameter, with foci of dedifferentiation, presented by pleomorphic sarcoma. Surgical margins were microscopically negative.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it