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Unrealistic expectations for IR microspectroscopic imaging

Nature Biotechnology volume 25, pages 29–31 (2007)Cite this article

To the editor:

In a paper in the April issue two years ago (Nat. Biotechnol. 23, 469–474, 2005), Fernandez et al. report a histopathologic recognition approach for tissue microarrays based on infrared (IR) microspectroscopic imaging. As a comparative measure of the classification capability of this method for ten classes of prostate tissue taken from 16 patients, the authors used the area under the curve (AUC)—a popular measure of accuracy for diagnostic tests1—for individual receiver-operating-characteristic (ROC) curves. They calculated AUC values of 0.994 for epithelium, 0.991 for stone, 0.990 for lymphocytes, 0.983 for endothelium, 0.971 for nerve, 0.954 for ganglion, 0.932 for blood and 0.983, 0.961 and 0.894 for fibrous stroma, mixed stroma and smooth muscle, respectively.

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Figure 1: Different accuracy for recognition of two contiguous tumor areas of a squamous cell cervical carcinoma depending on invasion-front characteristics (left column, small tumor segments; right column, larger segments).

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Authors and Affiliations

  1. Department of Obstetrics and Gynecology, University Leipzig, Philipp-Rosenthal-Strasse 55, Leipzig, 04103, Germany

    Jens Einenkel

  2. Institute for Analytical Chemistry, Dresden University of Technology, Bergstrasse 66, Dresden, 01069, Germany

    Wolfram Steller & Christoph Krafft

  3. Interdisciplinary Center for Bioinformatics, University Leipzig, Haertelstrasse 16–18, Leipzig, 04107, Germany

    Ulf-Dietrich Braumann

  4. Institute of Pathology, University Leipzig, Liebigstrasse 26, Leipzig, 04103, Germany

    Lars-Christian Horn

Authors
  1. Jens Einenkel
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  2. Wolfram Steller
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  3. Ulf-Dietrich Braumann
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  4. Lars-Christian Horn
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  5. Christoph Krafft
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Einenkel, J., Steller, W., Braumann, UD. et al. Unrealistic expectations for IR microspectroscopic imaging. Nat Biotechnol 25, 29–31 (2007). https://doi.org/10.1038/nbt0107-29

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