Accuracy of Axillary Ultrasound in the Diagnosis of Nodal Metastasis in Invasive Breast Cancer: A Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Axillary lymph node status is the most important prognostic factor in early-stage breast cancer. Sentinel lymph node biopsy is used to determine the need for axillary node dissection. This technique incurs cost associated with radio-isotope administration and use of the operating room. Accordingly, there is a need to preoperatively identify patients with nodal metastases who can proceed directly to axillary dissection. Axillary ultrasound has increasingly been used to determine nodal status prior to surgery. It has been shown to be a sensitive and specific modality in the detection of nodal metastases. When combined with fine-needle aspiration, the specificity of this modality significantly increases. Here we present a current review of the usefulness of preoperative axillary ultrasound in early and locally advanced breast cancer patients with and without fine-needle aspiration biopsy. Based on this review, we estimate the proportion of patients that can be spared a sentinel lymph node biopsy and the concomitant benefit of axillary ultrasound in terms of cost.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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 it