Lymphoscintigraphy to Evaluate the Effects of Upper Body Dynamic Exercise and Handgrip Exercise on Radiopharmaceutical Clearance from Hands of Healthy Females
Bibliographic record
Abstract
BACKGROUND: Currently, there is not a standardized protocol to evaluate lymphatic function in women. Therefore, the purpose of this study was to evaluate the effects of arm crank ergometry (AC) and handgrip contractions (HG) on radiopharmaceutical clearance from the hands of six healthy females. METHODS AND RESULTS: On separate days, subjects performed AC (six repeated bouts of arm cranking for 5 min at 0.6 Watts.kilogram(-1) (W.kg(-1)) followed by 5 min rest) or HG (twelve repeated bouts of 75 contractions in 2.5 min at 50% MVC followed by 2.5 min of rest). HG was done with the right hand only while the left hand served as a control (CON). Prior to the start of exercise, (99m)Tc-antimony colloid was injected into the first and fourth finger-web of each hand, and 1 min spot views were taken immediately after the injection and then again every 10 min over 60 min. Clearance from the injection sites was linear and expressed as a slope (% administered activity.min(-1)). Significantly faster clearance was observed with AC (rt = -0.27 +/- 0.03 %.min(-1); left = -0.29 +/- 0.06 %.min(-1)) compared to both HG (-0.18 +/- 0.03 %.min(-1)) and CON (-0.14 +/- 0.05 %.min(-1); p = 0.000). CONCLUSION: The results indicate that AC may be more effective in promoting lymphatic clearance from the hand and may be a useful protocol to challenge the lymphatic system in breast cancer survivors.
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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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".