Abstract C18: The association between breast tissue optical content and percent density and dense area in pre- and postmenopausal women
Notice bibliographique
Résumé
Abstract Optical spectroscopy (OS) is a method of evaluating breast tissue that involves no exposure to ionizing radiation and no discomfort, unlike mammography. Red and near-infrared light is shined through the breast and light scattering and absorption spectra provide information on the breast content of water, lipid, and hemoglobins (oxy and deoxy). Previously, we demonstrated that OS scores derived from Principal Component Analysis of spectra were associated with quantitative mammographic features of the breast (percent density, dense area). Here, we examine the relationship between optically derived breast concentrations of water (%), lipid (%), total hemoglobin (μM), tissue oxygen saturation (%), and scattering parameters (amplitude, power) and percent density and dense area in these pre (n = 95) and post-menopausal (n = 107) women. Participants were recruited from the Breast Imaging Centre at Mount Sinai Hospital in Toronto. Information concerning their age, menopausal status, height and weight were collected using a self-administered questionnaire. For each woman, OS measurements were done in four standardized positions (center, medial, distal, lateral) on each breast, providing optical interrogation of different anatomical regions. A spectrally constrained global fitting procedure using a model of diffuse light transport was used to estimate tissue composition (hemoglobins, lipids, water) and scattering parameters (amplitude, power) at each measured position on both breasts. These results were then averaged over each position over both breasts. Percent mammographic density (PD) and dense area (DA) were estimated from digitized film mammograms using Cumulus. For each woman, PD and DA were averaged over both breasts and square root transformed. The association between OS breast tissue content at the distal position and quantitative mammographic features was analyzed using linear regression analysis stratified by menopausal status and adjusted for body mass index (PD only). Among pre-menopausal women, lipid content was significantly inversely associated with both PD (β = -0.050, p = 0.0002) and DA (β = -0.046, p = 0.019), while water content was significantly positively associated with PD only (β = 0.057, p = 0.008). Tissue oxygen saturation was marginally inversely associated with PD (β = -0.033, p = 0.057) and strongly inversely associated with DA (β = -0.098, p = 0.002). Among post-menopausal woman, both lipid and water content were significantly and strongly associated with PD (lipid: β = -0.084, p < 0.0001; water: β = 0.135, p < 0.0001) and DA (lipid: β = -0.096, p < 0.0001; water: β = 0.113, p = 0.001). The association between breast tissue content (hemoglobin, lipid, water) derived from OS and PD and DA in pre- and post-menopausal women is consistent with a higher amount of proliferating tissue in younger women (lower tissue oxygen saturation in more dense breasts). Greater lipid associated content was observed in lower density breast tissue while higher water content characterized higher density breast tissue. PD, and to a lesser extent DA, are recognized risk factors for breast cancer. OS may be useful for assessing physiologic tissue differences related to breast cancer risk and/or measuring differences from cumulative exposure to factors known to modulate risk, particularly in younger woman where mammography is not an option. Citation Format: Kristina M. Blackmore, Julia A. Knight, Jane Walter, Lothar Lilge. The association between breast tissue optical content and percent density and dense area in pre- and postmenopausal women. [abstract]. In: Proceedings of the Twelfth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2013 Oct 27-30; National Harbor, MD. Philadelphia (PA): AACR; Can Prev Res 2013;6(11 Suppl): Abstract nr C18.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».