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Tissue analysis of solitary pulmonary nodules using OCT A-Scan imaging needle probe

Lukas Wittig, Christoph Otte, Sebastian Otte, Gereon Hüttmann, Daniel Drömann, Alexander Schlaefer
European Respiratory Journal 2014 44: P4979; DOI:
Lukas Wittig
1Med. Clinic III, German Center for Lung Research (DZL), University Clinic Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
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Christoph Otte
2Institute of Medical Technology, University of Technology, Hamburg, Germany
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Sebastian Otte
3Cognitive Systems Group, Computer Science Department, University of Tuebingen, Tuebingen, Germany
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Gereon Hüttmann
4Institute of BioMedical Optics, University of Luebeck, Luebeck, Germany
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Daniel Drömann
1Med. Clinic III, German Center for Lung Research (DZL), University Clinic Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
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Alexander Schlaefer
2Institute of Medical Technology, University of Technology, Hamburg, Germany
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Abstract

State of the art to specify the entity of solitary pulmonary nodules (SPN) is TTNA or TBNA. Optical coherence tomography (OCT) has the capability to close the gap between confocal microscopy and ultrasound.

To investigate OCT imaging in the diagnosis of SPN′s we developed a forward imaging needle probe. Single A-Scan images were taken from different tissue sides manually and consecutive A-Scans while puncturing robotically guided.

Histopathology defined the tissue probe as malignant or nonmalignant and characterized the architecture of the lung and SPN along the robotically punctured channel. The A-Scans were classified by a bidirectional long short term memory network. From 15 different tissue specimens 75 datasets of lung tissue and 22 datasets of tumor tissue have been acquired. Results are shown in Figure 1 [1 and 2: A-Scans from the same patient contribute to test set or trainings set. All tumor samples (PatAll), adeno carcinoma (PatAd). 3 and 4: A-Scans from the same record contribute to test set or training set. All carcinoma (RecAll), adeno carcinoma (RecAd)]. Further analysis of the individual patient data showed improved sensitivity, specificity and accuracy.

Our results demonstrate that individual OCT A-Scans can provide information for differentiation of malignant and non-malignant lung tissue. Further were we able to align histopathologic features and OCT features of the consecutive data sets.

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  • Imaging
  • Bronchoscopy
  • Lung cancer / Oncology
  • © 2014 ERS
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Tissue analysis of solitary pulmonary nodules using OCT A-Scan imaging needle probe
Lukas Wittig, Christoph Otte, Sebastian Otte, Gereon Hüttmann, Daniel Drömann, Alexander Schlaefer
European Respiratory Journal Sep 2014, 44 (Suppl 58) P4979;

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Tissue analysis of solitary pulmonary nodules using OCT A-Scan imaging needle probe
Lukas Wittig, Christoph Otte, Sebastian Otte, Gereon Hüttmann, Daniel Drömann, Alexander Schlaefer
European Respiratory Journal Sep 2014, 44 (Suppl 58) P4979;
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