Results of Radiation Therapy for Treatment of Classic Kaposi Sarcoma
Bibliographic record
Abstract
BACKGROUND: Classic Kaposi sarcoma (CKS) is a vascular neoplasm that primarily affects men of Mediterranean and Ashkenazi Jewish descent. A variety of therapeutic options exist, and choice of treatment depends on clinical form and stage, as well as lesion location and size; options include surgical excision, intralesional interferon alpha-2b, local or extended field radiotherapy, and chemotherapy. OBJECTIVE: The aim of this study was to review the outcome of radiation therapy in the treatment of CKS at a single institution. METHODS: This retrospective study reviewed patients who receive radiation therapy for histologically confirmed CKS between 1994 and 2006. RESULTS: Sixteen patients were reviewed; the mean age at diagnosis was 74 years, and 13 patients were male. Fifteen patients (94%) presented with leg lesions, and two patients (12.5%) presented with arm lesions. The most commonly prescribed radiation dose was 30 Gy in 15 daily fractions of 2 Gy. All lesions responded to treatment, with a complete response rate of 88% and a partial response rate of 12%. Toxicity was limited to grade I dermatitis (four patients) and grade II dermatitis (two patients). CONCLUSION: Radiation therapy is an effective treatment modality for CKS and is associated with minimal toxicity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".