Case 241: Hemiparkinsonism- Hemiatrophy—SPECT with <sup>99m</sup>Tc TRODAT-1 and Muscle MR Imaging Abnormalities
Bibliographic record
Abstract
History A 43-year-old right-handed man presented with a history of progressive mild left-sided weakness and slowness of movements. Symptoms began 4 years earlier, and the patient noticed a progressive decline in his daily routine due to gait difficulties in the past year. There was no history of head trauma, surgery, drug therapy, smoking, or alcohol abuse, nor was there any relevant family history. Examination revealed normal cognition (29 of 30 points on the Mini-Mental State Examination and 27 of 30 points on the Montreal Cognitive Assessment) and normal cerebellar, sensory, cranial nerve, and autonomic function. There was mild left-sided weakness involving the upper and lower limbs (medical research council graded muscle strength as 4+ out of 5) that was associated with facial hypomimia and a rigid akinetic syndrome only in the patient’s left hemibody (Unified Parkinson's Disease Rating Scale [UPDRS] part III [motor examination], 23 out of 52 points). Mild atrophy in the left upper and lower limbs without pain, swelling, or skin lesions was noted at physical examination. Routine blood chemistry was normal, as were serum creatine kinase and aldolase levels and thyroid, hepatic, and renal function. T1- and T2-weighted, fluid-attenuated inversion recovery, diffusion- and perfusion-weighted, and contrast material–enhanced brain magnetic resonance (MR) imaging results were normal, without basal ganglia hyperintensity, lacunae, calcification, or heavy metal deposits. Muscle MR imaging and single photon emission computed tomography (SPECT) with technetium 99m (99mTc) tropane dopamine transporter (TRODAT)-1 were performed for further evaluation. This patient received levodopa and benserazide (200 and 50 mg, respectively) four times a day and amantadine (100 mg) three times a day without adequate improvement (UPDRS score decreased from 23 to 20 points).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".