In:
Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 35, No. 15_suppl ( 2017-05-20), p. e17536-e17536
Abstract:
e17536 Background: Most patients with oropharyngeal squamous cell carcinoma (OPSCC) are cured of their disease but 10-20% will develop recurrence. Identifying high risk patients is key to tailoring therapy and reducing treatment-related morbidity. In this study, we present initial findings using computerized analysis of local nuclear architecture from digitized H & E tissue sections of OPSCC via a new algorithm called cell run-length features (CRF) to distinguish patients with more versus less aggressive disease. Methods: H & E stained tissue microarray sections of 160 primary p16+ OPSCC were digitally scanned. Our CRF analysis involved 1) nuclei segmentation, 2) creation of local cell cluster graphs based on proximity of nuclei, and 3) computing CRF for each cell cluster graph. The CRF reflects the total number of different ways/runs that the graph vertices can be traversed. A higher CRF reflects more complex nuclear spatial architecture, while a lower CRF reflects the converse. A series of CRF features relating to statistics of the graph runs across the image are then extracted,. The top 5 predictive features were identified via Wilcoxon Rank Sum Test and then evaluated in conjunction with a binary quadratic classifier via 5-fold cross validation. Results: The top ranked features were related to CRF non-uniformity (i.e. reflecting the variation of complexity of different nuclei clusters) and the classifier yielded a mean area under the receiver operating characteristic curve of 0.75 in discriminating patients who did and did not have disease progression. Patients with high risk CRF values were 5.7 times more likely to suffer disease recurrence than those without. While the whole cohort had a disease recurrence rate of 12.5%, those with low CRF values developed recurrence in only 1.875%. Conclusions: CRF features demonstrate a strong association with disease recurrence in patients with p16 positive OPSCC. Our preliminary findings suggest that measurements related to local arrangement of nuclei have potential in the risk assessment of patients with p16 positive OPSCC. The findings will need to be independently validated in a separate, powered cohort of patients.
Type of Medium:
Online Resource
ISSN:
0732-183X
,
1527-7755
DOI:
10.1200/JCO.2017.35.15_suppl.e17536
Language:
English
Publisher:
American Society of Clinical Oncology (ASCO)
Publication Date:
2017
detail.hit.zdb_id:
2005181-5
