13058_2019_1200_MOESM2_ESM.docx (2.43 MB)
MOESM2 of Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings
journal contribution
posted on 2019-10-18, 09:26 authored by Haojia Li, Jon Whitney, Kaustav Bera, Hannah Gilmore, Mangesh Thorat, Sunil Badve, Anant MadabhushiAdditional file 2: Section S2. The details on the tumor tissue slide preparation and scanning procedure (under the heading “Digital Slide Acquisition Procedure”). Normalized intensity distribution of cancer nuclei in the H&E stained slide images for patients in D1 (Fig. 1); multivariate (estrogen receptor status, progesterone receptor status and age) Cox proportional hazards analysis on risk class derived from ODx risk categories for the different tasks in D1 (Table 1); Detailed description of the features corresponding to each of the five feature families (under the heading “Feature Description”); Illustration of the feature maps within a tissue image of a DCIS patient corresponding to the high (I), intermediate (II) and low (III) ODx risk category (Fig. 3).