Use of MIB-1 in the Assessment of Esophageal Biopsy Specimens from Patients with Gastroesophageal Reflux Disease in Well- and Poorly Oriented Areas
Bibliographic record
Abstract
MIB-1, a proliferation marker may be useful in the assessment of esophageal biopsy specimens for gastroesophageal reflux disease (GERD). Forty-five hematoxylin and eosin-stained esophageal biopsy specimens were histologically assessed for basal zone height, papillary length, and inflammatory cell infiltrate and classified as 10 normal and 35 esophagitis. The percentage of MIB-1-positive area (MIB-1% area) was measured on immunostained sections using image analysis (CAS 200) in the basal half of well-oriented areas and adjacent to five cross-sectioned papillae (c-pap) in poorly oriented areas. The cell layer of the MIB-1-positive cell furthest from the basal layer of the c-pap was also noted. MIB-1% area was significantly greater in both well- and poorly oriented areas of esophagitis biopsy specimens compared with normal biopsy specimens. MIB-1 positivity in the basal half and c-pap were correlated (r = 0.43, p = 0.017). MIB-1 expression correlated with basal zone height and eosinophil infiltrate (r = 0.61, p < 0.001; r = 0.32, p = 0.03, respectively). The cell layer with positive cells furthest from c-pap in normal and esophagitis biopsy specimens was two and six layers, respectively. Using 31% as a threshold to detect abnormal findings, the MIB-1 sensitivity/specificity and positive predictive value in the basal half and c-pap were 86, 70, 91% and 80, 80, 94%, respectively. In summary, MIB-1 staining correlates with basal zone hyperplasia and eosinophil infiltrate seen in GERD. MIB-1 staining can be assessed both in well- and poorly oriented areas as MIB-1% areas. Alternatively simply finding MIB-1 positive cells more than three cell layers from the basal layer is abnormal and consistent with GERD.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".