Infrared imaging in histopathology: Is a unified approach possible?

Goormaghtigh, Erik

doi:10.3233/bsi-160151

Cited by 21 publications

(17 citation statements)

References 72 publications

(82 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study we used the workflow established and described in our previous publications 11 – 13 . RF classifier was shown to be a robust and reliable classifier for biomedical imaging 12 , 32 – 34 , and we used two consecutive RF analysis. During the training stage, a spectral database was generated, and the pathological regions, infiltrating inflammatory cells, muscles, lumen, crypts, and connective tissue were identified in the representative spectra.…”

Section: Methodsmentioning

confidence: 99%

Quantum Cascade Laser-Based Infrared Microscopy for Label-Free and Automated Cancer Classification in Tissue Sections

Kuepper

Kallenbach-Thieltges

Juette

et al. 2018

Sci Rep

View full text Add to dashboard Cite

A feasibility study using a quantum cascade laser-based infrared microscope for the rapid and label-free classification of colorectal cancer tissues is presented. Infrared imaging is a reliable, robust, automated, and operator-independent tissue classification method that has been used for differential classification of tissue thin sections identifying tumorous regions. However, long acquisition time by the so far used FT-IR-based microscopes hampered the clinical translation of this technique. Here, the used quantum cascade laser-based microscope provides now infrared images for precise tissue classification within few minutes. We analyzed 110 patients with UICC-Stage II and III colorectal cancer, showing 96% sensitivity and 100% specificity of this label-free method as compared to histopathology, the gold standard in routine clinical diagnostics. The main hurdle for the clinical translation of IR-Imaging is overcome now by the short acquisition time for high quality diagnostic images, which is in the same time range as frozen sections by pathologists.

show abstract

Section: Methodsmentioning

confidence: 99%

Quantum Cascade Laser-Based Infrared Microscopy for Label-Free and Automated Cancer Classification in Tissue Sections

Kuepper

Kallenbach-Thieltges

Juette

et al. 2018

Sci Rep

View full text Add to dashboard Cite

show abstract

“…To circumvent the electric field standing wave effect (EFSW) reported for variations in section thickness, we repeated exemplar sections at 8 and 10 μm thickness, and here again, we obtained very similar spectral profiles as the measured samples. Supplementary Table S1 (Stable 1) shows the FTIR assignments used in the medical and biomedical fields ( Goormaghtigh, 2016 ).…”

Section: Methodsmentioning

confidence: 99%

Fourier-Transform Infrared Imaging Spectroscopy and Laser Ablation -ICPMS New Vistas for Biochemical Analyses of Ischemic Stroke in Rat Brain

et al. 2018

View full text Add to dashboard Cite

Objective: Stroke is the main cause of adult disability in the world, leaving more than half of the patients dependent on daily assistance. Understanding the post-stroke biochemical and molecular changes are critical for patient survival and stroke management. The aim of this work was to investigate the photo-thrombotic ischemic stroke in male rats with particular focus on biochemical and elemental changes in the primary stroke lesion in the somatosensory cortex and surrounding areas, including the corpus callosum.Materials and Methods: FT-IR imaging spectroscopy and LA-ICPMS techniques examined stroke brain samples, which were compared with standard immunohistochemistry studies.Results: The FTIR results revealed that in the lesioned gray matter the relative distribution of lipid, lipid acyl and protein contents decreased significantly. Also at this locus, there was a significant increase in aggregated protein as detected by high-levels Aβ1-42. Areas close to the stroke focus experienced decrease in the lipid and lipid acyl contents associated with an increase in lipid ester, olefin, and methyl bio-contents with a novel finding of Aβ1-42 in the PL-GM and L-WM. Elemental analyses realized major changes in the different brain structures that may underscore functionality.Conclusion: In conclusion, FTIR bio-spectroscopy is a non-destructive, rapid, and a refined technique to characterize oxidative stress markers associated with lipid degradation and protein denaturation not characterized by routine approaches. This technique may expedite research into stroke and offer new approaches for neurodegenerative disorders. The results suggest that a good therapeutic strategy should include a mechanism that provides protective effect from brain swelling (edema) and neurotoxicity by scavenging the lipid peroxidation end products.

show abstract

“…In this study, we used the workflow established and described in our previous publications 30,31,44 . The RF classifier was shown to be a robust and reliable classifier for biomedical imaging [30][31][32][33] , and three consecutive RF analyses were used. The original training of the first two RF analyses is described elsewhere and reached 96% sensitivity and 100% specificity 44 .…”

Section: Methodsmentioning

confidence: 99%

Label-free, automated classification of microsatellite status in colorectal cancer by infrared imaging

Kallenbach-Thieltges

Großerueschkamp

Kuepper

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Challenging histopathological diagnostics in cancer include microsatellite instability-high (MSI-H) colorectal cancer (CRC), which occurs in 15% of early-stage CRC and is caused by a deficiency in the mismatch repair system. The diagnosis of MSI-H cannot be reliably achieved by visual inspection of a hematoxylin and eosin stained thin section alone, but additionally requires subsequent molecular analysis. Time-and sample-intensive immunohistochemistry with subsequent fragment length analysis is used. The aim of the presented feasibility study is to test the ability of quantum cascade laser (QCL)-based infrared (IR) imaging as an alternative diagnostic tool for MSI-H in CRC. We analyzed samples from 100 patients with sporadic CRC UICC stage II and III. Forty samples were used to develop the random forest classifier and 60 samples to verify the results on an independent blinded dataset. Specifically, 100% sensitivity and 93% specificity were achieved based on the independent 30 MSI-Hand 30 microsatellite stable (MSS)-patient validation cohort. This showed that QCL-based IR imaging is able to distinguish between MSI-H and MSS for sporadic CRC-a question that goes beyond morphological features-based on the use of spatially resolved infrared spectra used as biomolecular fingerprints.

show abstract

Infrared imaging in histopathology: Is a unified approach possible?

Cited by 21 publications

References 72 publications

Quantum Cascade Laser-Based Infrared Microscopy for Label-Free and Automated Cancer Classification in Tissue Sections

Quantum Cascade Laser-Based Infrared Microscopy for Label-Free and Automated Cancer Classification in Tissue Sections

Fourier-Transform Infrared Imaging Spectroscopy and Laser Ablation -ICPMS New Vistas for Biochemical Analyses of Ischemic Stroke in Rat Brain

Label-free, automated classification of microsatellite status in colorectal cancer by infrared imaging

Contact Info

Product

Resources

About