Acute Haematological Variations in Patients Receiving Radiotherapy and its Correlation with Volume of the Bone Marrow and Radiation Dose
Bibliographic record
Abstract
Purpose: Radiation treatment of all malignancies inevitably includes certain percentage of bone marrow in the site and volume of irradiation. The purpose is to study the magnitude of radiation induced early haematological toxicity in relation to the total dose and volume of the marrow in the field of irradiation. Materials & Methods: A Prospective analysis was done in 60 patients treated with telecobalt. Haemoglobin, WBC and platelet counts were done before starting treatment and then weekly till the completion of treatment. The volume of bone marrow in the radiation fields was also recorded. Results: The haemoglobin percentage change between baseline and 5th week was 5.19%(p=0.026) and7.35% (p=0.049) in <5%, 5-20% &>20% of bone marrow irradiated respectively. The percentage of change between baseline and 5th week total WBC count was 23.79% (p=0.000), 35.53% (p=0.006) and 27.90% (p=0.000) in <5%, 5-20% &>20% of bone marrow irradiated respectively. The percentage change in platelets between baseline and 5th week of 22.14%, 24.66% & 24.80% in patients with <5%, 5-20% and >20% of bone marrow irradiated respectively (overall p=0.000). Conclusion: The percentage of active bone marrow in the field of irradiation, dose per fraction and the total dose received are the best parameters for the study of haematological variations in patients being treated with radiotherapy. There is significant Haematological variations with decreasing trend in relation to volume of bone marrow irradiated and radiation dose.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".