It's worth a second look: Sonographic identification of lymphoid hyperplasia of the pediatric bowel
Bibliographic record
Abstract
Lymphoid hyperplasia is benign, reactive proliferation of lymphatic tissue that can present with similar sonographic findings as appendicitis or intussusception. This pictorial essay explores the sonographic presentation of lymphoid hyperplasia and the way it mimics the pathology of appendicitis and intussusception. Common in pediatric patients, lymphoid hyperplasia occurs in response to systemic infections, including viral gastroenteritis. When lymphoid hyperplasia occurs, it causes enlargement of the lymphatic tissue of the lamina propria found in the terminal ileum, ileocecal valve, and appendix. Differentiating lymphoid hyperplasia from other conditions requires careful assessment of sonographic features, including identification of bowel wall, measurements of bowel wall, free fluid, inflammatory changes, and lymph nodes. The images presented in this pictorial essay show pediatric cases in which lymphoid hyperplasia mimicked pathology. These situations can lead to longer admissions for patients and repeat ultrasound exams. The pictorial essay underscores the importance of a thorough sonographic assessment that maintains a systematic approach when obtaining images to ensure diagnostic accuracy. Without slow and steady investigation, it is possible to mistake lymphoid hyperplasia for its higher acuity counterparts. Sonographers play a crucial role in ensuring accurate diagnosis of lymphoid hyperplasia by taking a second look in cases of focal bowel wall thickening at the terminal ileum, ileocecal valve, and appendix.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".