Metastasectomy of Hepatoblastoma Utilizing a Novel Overlay Fluorescence Imaging System
Bibliographic record
Abstract
BACKGROUND: The curability of hepatoblastoma (HB) largely depends on the achievement of radical surgical resection, even for metastatic tumors. However, the extension of the metastatic tumor when viewed through an endoscope with the conventional white-light mode is often unclear. Advancements in imaging technology utilizing indocyanine green (ICG) have facilitated precise resection of metastatic HBs, owing to the longer retention of ICG in such lesions than in other normal tissues. CASE: We utilized an endoscope loaded with the PINPOINT system (NOVADAQ Technologies, Inc., Ontario, Canada), which allows for real-time overlay visualization with the same focal range between the white-light mode and near-infrared mode. Metastatic HBs that have taken up ICG are visualized as an area of green color superimposed on a high-definition white-light image. A 19-year-old female who underwent liver transplantation for an unresectable HB 2 years earlier was noted to have metastases on the diaphragm and the pleura. Preoperative magnetic resonance imaging showed metastatic HBs on the right pleura extending from the ribs and the diaphragm. The margin of the metastatic tumor was more sharply demarcated by the PINPOINT system than that detected in the normal white-light mode. The tumor was successfully resected en bloc with real-time guidance utilizing the overlay image. The alphafetoprotein levels were normalized and have remained within normal limits in the 12 months since the operation. CONCLUSION: Novel overlay imaging technology with ICG makes it possible to achieve real-time precise resection of metastatic HBs.
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 | 0.000 | 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 | 0.000 |
| 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 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".