The value of color Doppler imaging and intralesional steroid injection in pediatric orbital capillary hemangioma
Bibliographic record
Abstract
BACKGROUND: To evaluate color Doppler imaging (CDI) as the primary imaging modality in the diagnosis of pediatric orbital capillary hemangioma. METHODS: This is a retrospective study of 36 consecutive cases of orbital capillary hemangiomas between January 2006 and July 2011. Data on demographic details, clinical findings, gray-scale ultrasonography, CDI characteristics, treatment, and follow-up period were reviewed. RESULTS: The mean age of onset was 7 weeks. Twenty-nine (81%) lesions presented as eyelid masses, whereas seven (19%) presented as exophthalmos. Nineteen (53%) tumors were located on the upper eyelid, seven (19%) on the lower eyelid, six (17%) in the medial canthus, and one on both upper and lower eyelids. Ultrasonography depicted a heterogeneous, well-defined, irregular tumor with a low or moderate echogenicity. All lesions presented with abundant color blood flow on CDI. The intralesional blood flow had a mean peak systolic velocity of 37.5 ± 24.5 cm/second, and a mean resistance index of 0.69 ± 0.16, representing a shift in the pulse Doppler toward high velocity and high resistance. After a single intratumoral injection of betamethasone, 18 cases (50%) resolved. Additionally, 15 (42%) and four (11%) cases resolved after two injections and three injections, respectively. Only three (8%) masses persisted after three injections within the follow-up period. CONCLUSION: The blood flow characteristics of CDI play a vital role in the differentiation of orbital capillary hemangiomas from other orbital lesions. The availability and lack of adverse effects of CDI enable its utilization in the early clinical diagnosis of pediatric orbital capillary hemangioma.
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 | 0.002 | 0.003 |
| 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) | 0.000 | 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".