Mesenchymal Chondrosarcoma-A Retrospective study.
Bibliographic record
Abstract
INTRODUCTION: Mesenchymal chondrosarcoma is a rare high grade malignant neoplasm that accounts for 3-10% of all chondrosarcomas. Histopathologically, it shows biphasic population composed of small round to ovoid with occasional spindle cells and islands of well differentiated cartilage. The study aimed at retrospectively analysing the clinical, pathological, radiological features of these cases in our institution. MATERIALS AND METHODS: This is a retrospective descriptional study. All the cases of mesenchymal chondrosarcomas were retrieved from our archives of pathology over a period of 10 years .The demographic details including the age, clinical presentation including skeletal/extraskeletal along with radiology were noted for all these cases. The treatment details along with the follow up of the patients were archived from the medical records. RESULTS: A total of 13 cases of mesenchymal chondrosarcoma were retrieved for our study. The mean age of presentation was 33 years with a slight male predilection. Extra skeletal soft tissue origin was noted in 3 of our cases (3/13), one case in forearm, another in pelvis. The third case was intracranial origin which presented as a dural based parieto-occipital mass and rest all had bony origin .The radiological and clinical correlation was done for all these cases. CONCLUSION: Mesenchymal chondrosarcoma presents multiple diagnostic challenges, most common include inadequate biopsy samples which may result in errors in diagnosis, namely with small blue round cell tumours .A better understanding of this entity may help the pathologists in conferring an accurate diagnosis to the clinicians.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".