CONTROL OF LOW-RESOLUTION SCANNING OF OVARIAN TUMOR STROMAL COMPARTMENT

Authors

  • Nicolas Elie
  • Alexandre Labiche
  • Jean-Jacques Michels
  • Paulette Herlin

DOI:

https://doi.org/10.5566/ias.v24.p85-93

Keywords:

automatic image analysis, ovarian cancer, quality control, stroma, slide scanner

Abstract

The active search for markers of prognostic impact and therapeutic response is of crucial importance in oncology. The amount of stroma is a potential indicator with a significant impact on tumor growth. To solve the problems linked to tumor heterogeneity and, hence, of quantization at the microscopic level, we developed an image-analysis strategy dedicated to estimating the proportion of tumor connective tissue in whole histological sections at low resolution. 2,700-dot-per-inch numerical images were acquired with a calibrated slide scanner and automatically analyzed. We performed a quality control in order to evaluate the efficiency of the proposed method of analysis at the selected resolution. The point-counting method and the interactive drawing of stroma limits on equivalent mosaic microscopic images were "the gold standards." The proportions of stroma estimated on microscopic images (magnification with a 4× objective corresponding to 16,200 dots per inch) and on slide scanner images (2,700 dots per inch) through point counting stereology or manual delineation were equivalent (p < 0.0001). The results obtained through automatic image processing of scanner images were also close to the gold standard (95% correlation, p < 0.0001). The proposed method makes it possible to estimate the stroma amount of ovarian carcinomas in whole histological sections with a simple, fast, and low-cost acquisition device.

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Published

2011-05-03

Issue

Section

Original Research Paper

How to Cite

Elie, N., Labiche, A., Michels, J.-J., & Herlin, P. (2011). CONTROL OF LOW-RESOLUTION SCANNING OF OVARIAN TUMOR STROMAL COMPARTMENT. Image Analysis and Stereology, 24(2), 85-93. https://doi.org/10.5566/ias.v24.p85-93

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