Effectiveness of fine‐needle aspiration cytology of breast: Analysis of 2,375 cases from northern Thailand
Why this work is in the frame
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Bibliographic record
Abstract
At the Maharaj Nakorn Chiang Mai Hospital, Chiang Mai, Thailand, 2,375 cases of breast lesions were sampled by fine-needle aspiration (FNA) from 1994-1999. Cytologic diagnoses were: benign (48%), suspicious for malignancy (5%), malignant (15%), and unsatisfactory (32%). Comparison with histology was possible in 721 cases. The diagnoses obtained by FNA showed a sensitivity of 84.4%, specificity of 99.5%, positive predictive value of 99.8%, negative predictive value of 84.3%, false-negative rate of 16.7%, false-positive rate of 0.5%, and overall diagnostic accuracy of 91.3%. We conclude that, in experienced hands, FNA of breast masses is reliable for diagnosis. Assessment of samples at the time of aspiration can reduce the number of inadequate specimens to near zero. Correlation of FNA results with clinical and radiologic findings can identify false-negatives and false-positives, ensuring optimal patient management. Many centers now recommend needle core biopsy instead of FNA. For regions such as ours, the added cost of this test would make it unavailable to many patients, which could delay a diagnosis of breast cancer. We advocate keeping FNA as a first-line diagnostic procedure, at least in areas under economic restrictions, in order to maximize the availability of health care to women with breast disease.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.001 | 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