Intraoperative fluorescence imaging with aminolevulinic acid detects grossly occult breast cancer: a Phase II randomized controlled trial (Conference Presentation)
Bibliographic record
Abstract
Re-excision due to inability to visualize positive margins following breast-conserving surgery is a significant clinical challenge. 5-aminolevulinic acid (5-ALA), a non-fluorescent prodrug, leads to intracellular accumulation of fluorescent porphyrins in tumor cells. This single-centre Phase II randomized controlled trial evaluated the clinical safety, feasibility and diagnostic performance of a new handheld fluorescence imaging device (PRODIGI) combined with 5-ALA hydrochloride (HCl) for intraoperative visualization of invasive breast carcinomas. Fifty-four patients were enrolled in the study and randomized to receive no 5-ALA HCl or orally administered 5-ALA HCl (15 mg/kg or 30 mg/kg BW). Forty-five patients (n = 15/group) were included in the analysis. Fluorescence imaging of the excised surgical specimen was performed and biopsies were collected from within and outside the clinically-demarcated tumor border for blinded histopathological analysis. In the absence of 5-ALA HCl, tissue autofluorescence imaging lacked tumor-specific fluorescent contrast. Administration of 5-ALA HCl resulted in tumors that fluoresced bright red with improved visualization of tumor contrasted against normal tissue autofluorescence. In the 15 mg/kg 5-ALA dose group the positive predictive value (PPV) for detecting tumor inside and outside the grossly demarcated tumor border was 100.0% and 55.6%, respectively and 100.0% and 50.0% respectively in the 30 mg/kg dose group. No drug or device-related adverse events were observed and technical feasibility and clinical integration of this intraoperative tumor visualization approach were confirmed. This is the first known clinical report of visualization of 5-ALA HCl-induced fluorescence in invasive lobular and ductal breast carcinoma using a real-time handheld intraoperative fluorescence imaging device.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".