Abstract P4-03-04: The potential use of Optical Coherence Tomography for intraoperative breast tumour margin width estimation
Notice bibliographique
Résumé
Abstract Total mastectomy and lumpectomy with radiation have been shown to have equivalent patient outcomes, which has likely contributed to the more widespread adoption of breast conserving surgery (BCS) procedures. Assessment of breast lumpectomy margin widths in both an accurate and timely manner is essential to successful breast conservation procedures. Current BCS methodologies have been reported to result in reoperation rates of up to 20–60%, which represents a significant and unmet need for improved margin assessment. High reoperation rates present both increased treatment risk to patients and increased burden on healthcare systems. In the USA alone, over 150,000 lumpectomies are performed per year at an average cost between $11,000 and $19,000 USD per procedure. Assuming a relatively modest average repeat operation rate of 25%, potentially preventable repeat surgeries represent an approximate cost to the US healthcare system of $500M (USD) annually. Reducing the prevalence of repeat surgeries may be accomplished by providing faster and more accurate intraoperative tools for assessing margin widths during the time of the first surgery. One such potential technique involves the use of Optical Coherence Tomography (OCT) imaging, which uses light to produce images in much the same way that ultrasound produces images with sound. Compared to ultrasound, OCT provides decreased depth of penetration, but increased resolution capabilities. The increased resolution that OCT provides allows for the visualization of the internal cellular structure within a tissue sample and therefore, provides the potential ability to differentiate cancerous from normal or benign cells. We propose the use of an intraoperative OCT imaging system to provide near real-time imaging information about the internal structure of tissue samples excised during BCS procedures. Our hypothesis is that the overall rate of repeat operations can be reduced by providing a tool to assist surgeons with the task of margin width estimation during the time of surgery. We have developed an early stage prototype OCT imaging system that has completed laboratory phantom and preclinical studies. This paper will present the capabilities of an OCT imaging system to provide margin assessment information in biological breast tissue mimicking phantoms. The phantoms were designed to encompass imaging characteristics across a wide range of human breast densities. The paper will go on to describe preclinical imaging that was done in tumor specimens excised from human breast cancer rat models. The results obtained in the phantom and preclinical studies suggest the potential for OCT as a near-real time, intraoperative imaging tool to aid surgeons with breast lumpectomy margin width estimation. To help realize this potential, further research is required in to the use of OCT during BCS. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P4-03-04.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».