Rapid On-Site Histology of Lung and Pleural Biopsies Using Higher Harmonic Generation Microscopy and Artificial Intelligence Analysis

Lung cancer is one of the most prevalent and lethal cancers. To improve health outcomes while reducing health care burden, it becomes crucial to move toward early detection and cost-effective workflows. Currently, there is no method for the on-site rapid histologic feedback on biopsies taken in diagnostic, endoscopic, or surgical procedures. Higher harmonic generation (HHG) microscopy is a laser-based technique that provides images of unprocessed tissue. In this study, we report the feasibility of an HHG portable microscope in the clinical workflow in terms of acquisition time, image quality, and diagnostic accuracy in suspected pulmonary and pleural malignancy. One hundred nine biopsies of 47 patients were imaged and a biopsy overview image was provided within a median acquisition time of 6 minutes after excision. The assessment by pathologists and an artificial intelligence algorithm showed that image quality was sufficient for a malignancy or nonmalignancy diagnosis in 97% of the biopsies, and 87% of the HHG images were correctly scored by the pathologists. HHG is therefore an excellent candidate to provide a rapid pathology outcome on biopsy samples, enabling immediate diagnosis and (local) treatment.

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Publication Details

Journal
Modern Pathology
Published
2024-10-16
DOI
https://doi.org/10.1016/j.modpat.2024.100633
Citations
9
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.77

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article

Rapid On-Site Histology of Lung and Pleural Biopsies Using Higher Harmonic Generation Microscopy and Artificial Intelligence Analysis

Jan H. von der Thüsen, Mitko Veta, Laura M. G. van Huizen, Teodora Radonic et al.
9 citations
Modern Pathology
Lung Cancer Diagnosis and Treatment
3.77
article

Rapid On-Site Histology of Lung and Pleural Biopsies Using Higher Harmonic Generation Microscopy and Artificial Intelligence Analysis

Jan H. von der Thüsen, Mitko Veta, Laura M. G. van Huizen, Teodora Radonic, Johannes M. A. Daniels, Max Blokker, Marie Louise Groot, Jouke T. Annema
article en
9 citations

Abstract

Lung cancer is one of the most prevalent and lethal cancers. To improve health outcomes while reducing health care burden, it becomes crucial to move toward early detection and cost-effective workflows. Currently, there is no method for the on-site rapid histologic feedback on biopsies taken in diagnostic, endoscopic, or surgical procedures. Higher harmonic generation (HHG) microscopy is a laser-based technique that provides images of unprocessed tissue. In this study, we report the feasibility of an HHG portable microscope in the clinical workflow in terms of acquisition time, image quality, and diagnostic accuracy in suspected pulmonary and pleural malignancy. One hundred nine biopsies of 47 patients were imaged and a biopsy overview image was provided within a median acquisition time of 6 minutes after excision. The assessment by pathologists and an artificial intelligence algorithm showed that image quality was sufficient for a malignancy or nonmalignancy diagnosis in 97% of the biopsies, and 87% of the HHG images were correctly scored by the pathologists. HHG is therefore an excellent candidate to provide a rapid pathology outcome on biopsy samples, enabling immediate diagnosis and (local) treatment.

Modern PathologyVol. 38(1)
Erasmus MC (NL), Amsterdam University Medical Centers (NL), Eindhoven University of Technology (NL), Vrije Universiteit Amsterdam (NL), Erasmus University Rotterdam (NL)
Laserlab-Europe, European Commission, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Horizon 2020 Framework Programme, Stichting voor de Technische Wetenschappen
Affordable and clean energy
Openalex Percentile: Top 6%
Lung Cancer Diagnosis and Treatment
3.77
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