TCD-Profiling Using AVERAGE. A New Technique to Evaluate Transcranial Doppler Ultrasound Flow Spectra of Subjects with Cerebral Small Vessel Disease
Bibliographic record
Abstract
BACKGROUND: There is an unmet need for screening methods to detect and quantify cerebral small vessel disease (SVD). Transcranial Doppler ultrasound (TCD) flow spectra of the larger intracranial arteries probably contain relevant information about the microcirculation. However, it has not yet been possible to exploit this information as a valuable biomarker. METHODS: We developed a technique to generate normalized and averaged flow spectra during middle cerebral artery Doppler ultrasound examinations. Second, acceleration curves were calculated, and the absolute amount of the maximum positive and negative acceleration was calculated. Findings were termed 'TCD-profiling coefficient' (TPC). Validation study: we applied this noninvasive method to 5 young adults for reproducibility. Degenerative microangiopathy study: we also tested this new technique in 30 elderly subjects: 15 free of symptoms but with MRI-verified presence of cerebral SVD, and 15 healthy controls. SVD severity was graded according to a predefined score. Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) study: TPC values of 10 CADASIL patients were compared with those of 10 healthy controls. Pulse wave analysis and local measurements of carotid stiffness were also performed. CADASIL patients were tested for cognitive impairment with the Montreal Cognitive Assessment scale. White matter and basal ganglia lesions in their cerebral MRI were evaluated according to the Wahlund score. RESULTS: Validation study: the technique delivered reproducible results. Degenerative microangiopathy study: patients with SVD had significantly larger TPCs compared with controls (SVD: 2,132; IQR 1,960-2,343%/s vs. CONTROLS: 1,935; IQR 1,782-2,050%/s, p = 0.01). TPC values of subjects with SVD significantly correlated with SVD severity scores (R = 0.58, n = 15, p < 0.05). CADASIL study: TPC values of CADASIL patients were significantly higher than values of the controls (CADASIL: 2,504; IQR 2,308-2,930%/s vs. controls 2,084; 1,839-2,241%/s, p = 0.008), and also significantly higher than the TPC values of the patients with SVD from the degenerative microangiopathy study (p = 0.007). CADASIL patients had significantly worse cognitive test results than healthy controls. CONCLUSION: TCD-profiling detects impairment of the cerebral microcirculatory state. The suitability of the TCD-profiling for the evaluation of cerebral microangiopathy was confirmed.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".