Prognostic value of graph theory-based tissue architecture analysis in carcinomas of the tongue

Citation
J. Sudbo et al., Prognostic value of graph theory-based tissue architecture analysis in carcinomas of the tongue, LAB INV, 80(12), 2000, pp. 1881-1889
Citations number
42
Categorie Soggetti
Medical Research General Topics
Journal title
LABORATORY INVESTIGATION
ISSN journal
00236837 → ACNP
Volume
80
Issue
12
Year of publication
2000
Pages
1881 - 1889
Database
ISI
SICI code
0023-6837(200012)80:12<1881:PVOGTT>2.0.ZU;2-Z
Abstract
Several studies on oral squamous cell carcinomas (OSCC) suggest that the cl inical value of traditional histologic grading is limited both by poor repr oducibility and by low prognostic impact. However. the prognostic potential of a strictly quantitative and highly reproducible assessment of the tissu e architecture in OSCC has not been evaluated. Using image analysis, in 193 cases of T1-2 (Stage I-II) OSCC we retrospectively investigated the progno stic impact of two graph theory-derived structural features: the average De launay Edge Length (DEL_av) and the average homogeneity of the Ulam Tree (E LH_av). Both structural features were derived from subgraphs of the Voronoi Diagram. The geometric centers of the cell nuclei were computed, generatin g a two-dimensional swarm of point-like seeds from which graphs could be co nstructed. The impact on survival of the computed values of ELH_av and DEL_ av was estimated by the method of Kaplan and Meier, with relapse-free survi val and overall survival as end-points. The prognostic values of DE_av and ELH_av as computed for the invasive front, the superficial part of the carc inoma, the total carcinoma, and the normal-appearing oral mucosa were compa red. For DEL_av, significant prognostic information was found in the invasi ve front (p < 0.001). No significant prognostic information was found in su perficial part of the carcinoma (p = 0.34), in the carcinoma as a whole (p = 0.35), or in the normal-appearing mucosa (p = 0.27). For ELH_av, signific ant prognostic information was found in the invasive front (p = 0.01) and, surprisingly, in putatively normal mucosa (p = 0.03). No significant progno stic information was found in superficial parts of the carcinoma (p = 0.34) or in the total carcinoma (p = 0.11). In conclusion, strictly quantitative assessment of tissue architecture in the invasive front of OSCC yields hig hly prognostic information.