"One-stop shop" spectral imaging for rapid on-site diagnosis of lung cancer: a future concept in nano-oncology

Our plain-English summary of "One-stop shop" spectral imaging for rapid on-site diagnosis of lung cancer: a future concept in nano-oncology, by K. Darwiche, P. Zarogoulidis, L. Krauss, et al (International Journal of Nanomedicine, 2013).

The study

• Authors: K. Darwiche, P. Zarogoulidis, L. Krauss, F. Oezkan, R.F. Walter, R. Werner, D. Theegarten, L. Sakkas, A. Sakkas, W. Hohenforst-Scmidt, K. Zarogoulidis, L. Freitag
• Journal: International Journal of Nanomedicine
• Published: 2013;8:4533-42
• Cited by: 6 articles, as counted by NIH iCite
• Read it: PubMed · Publisher · Free full text

Abstract

Background: There are currently many techniques and devices available for the diagnosis of lung cancer. However, rapid on-site diagnosis is essential for early-stage lung cancer, and in the current work we investigated a new diagnostic illumination nanotechnology.

Methods: Tissue samples were obtained from lymph nodes, cancerous tissue, and abnormal intrapulmonary lesions at our interventional pulmonary suites. The following diagnostic techniques were used to obtain the samples: endobronchial ultrasound bronchoscopy; flexible bronchoscopy; and rigid bronchoscopy. Flexible and rigid forceps were used because several of the patients were intubated using a rigid bronchoscope. In total, 30 tissue specimens from 30 patients were prepared. CytoViva® illumination nanotechnology was subsequently applied to each of the biopsy tissue slides.

Results: A spectral library was created for adenocarcinoma, epidermal growth factor receptor mutation-positive adenocarcinoma, squamous cell carcinoma, usual interstitial pneumonitis, non-specific interstitial pneumonitis, typical carcinoid tumor, sarcoidosis, idiopathic pulmonary fibrosis, small cell neuroendocrine carcinoma, thymoma, epithelioid and sarcomatoid mesothelioma, cryptogenic organizing pneumonia, malt cell lymphoma, and Wegener's granulomatosis.

Conclusion: The CytoViva software, once it had created a specific spectral library for each entity, was able to identify the same disease again in subsequent paired sets of slides of the same disease. Further evaluation of this technique could make this illumination nanotechnology an efficient rapid on-site diagnostic tool.

In plain English

This small feasibility study tested a microscope imaging technique. It did not study asbestos, which the article does not mention. The authors collected 30 tissue samples from 30 patients at an interventional pulmonary department in Essen, Germany. The samples covered lung cancers, epithelioid and sarcomatoid mesothelioma, and non-cancer conditions such as sarcoidosis. After pathologists diagnosed the slides, CytoViva hyperspectral imaging was used to build a 'spectral library', a light-pattern signature, for each disease. The authors reported that each disease caused a unique spectral shift. The software recognized the same library in a second set of slides of the same disease, which they described as 100% efficiency for these diseases and the two sets of slides used. They stated that the equipment cannot identify tissue on its own and that the main limitation was the small sample size. Lymph node samples could not be evaluated. The authors concluded that, with appropriate validation, the technique could become a rapid on-site diagnostic tool, and that larger studies are needed to measure its sensitivity and specificity.

We wrote this plain-English summary from the full article with the help of AI, and a second AI model checked each sentence against the article. It is not the authors' wording; the abstract and the article are their own account.

What the study did and found

• Design: Laboratory feasibility study of an imaging technique applied to pathology tissue slides, comparing diseased tissue with control (healthy) tissue
• Who was studied: 30 tissue samples from 30 patients at four interventional pulmonary suites, Ruhrlandklinik University Hospital, Essen, Germany. The samples included adenocarcinoma, EGFR mutation-positive adenocarcinoma, squamous cell carcinoma, small cell neuroendocrine carcinoma, typical carcinoid, thymoma, epithelioid mesothelioma, sarcomatoid mesothelioma, malt cell lymphoma and several non-cancer lung diseases. Some samples came from the pathology archives. Dates are not given, and the number of samples per disease is not stated.
• Exposure: No asbestos or other environmental exposure was studied. What the study tested was CytoViva dark-field hyperspectral imaging applied to biopsy tissue slides.
• Main results:
  • Across all disease types imaged, the authors reported that each disease produced a unique spectral shift in tissue.
  • For each disease, the software identified the same spectral library in a second set of slides of that disease.
  • The authors described this as 100% efficiency, limited to these diseases and the two sets of slides used.
• The authors' conclusion: The authors concluded that, after appropriate validation, the technique could be used as a rapid on-site diagnostic tool. They said larger series are needed to investigate its sensitivity and specificity.
• Limitations the authors state:
  • Small sample size
  • The technique could not be evaluated in lymph node samples.
  • The equipment cannot identify tissue on its own; it only recognizes spectral libraries previously created and tagged from pathologist-diagnosed slides.
  • The software cannot tell whether the spots it detects are vessels, fibrinous tissue, or interstitial fluid.

Topics

The National Library of Medicine indexes this study under subjects our site covers: Lung cancer.

Medical terms in this study, explained in our Lexicon: Lung Cancer, Ultrasound, Bronchoscopy, Biopsy, Adenocarcinoma, Squamous Cell Carcinoma, Interstitial, Pneumonitis.

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