Label-free classification of colon cancer grading using infrared spectral histopathology

In recent years spectral histopathology (SHP) has been established as a label-free method to identify cancer within tissue. Herein, this approach is extended. It is not only used to identify tumour tissue with a sensitivity of 94% and a specificity of 100%, but in addition the tumour grading is determined. Grading is a measure of how much the tumour cells differ from the healthy cells. The grading ranges from G1 (well-differentiated), to G2 (moderately differentiated), G3 (poorly differentiated) and in rare cases to G4 (anaplastic). The grading is prognostic and is needed for the therapeutic decision of the clinician. The presented results show good agreement between the annotation by SHP and by pathologists. A correlation matrix is presented, and the results show that SHP provides prognostic values in colon cancer, which are obtained in a label-free and automated manner. It might become an important automated diagnostic tool at the bedside in precision medicine.

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Virtual staining of colon cancer tissue by label-free Raman micro-spectroscopy

The Analyst ◽

10.1039/c6an02072k ◽

2017 ◽

Vol 142 (8) ◽

pp. 1207-1215 ◽

Cited By ~ 13

Author(s):

D. Petersen ◽

L. Mavarani ◽

D. Niedieker ◽

E. Freier ◽

A. Tannapfel ◽

...

Keyword(s):

Colon Cancer ◽

Spectral Imaging ◽

Cancer Tissue ◽

Label Free ◽

Colon Cancer Tissue ◽

Free Classification ◽

Raman Spectral

The great capability of virtual staining for label-free classification of colon cancer tissue has been demonstrated via Raman spectral imaging.

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Infrared spectral histopathology for cancer diagnosis: a novel approach for automated pattern recognition of colon adenocarcinoma

The Analyst ◽

10.1039/c3an01022h ◽

2014 ◽

Vol 139 (16) ◽

pp. 4005-4015 ◽

Cited By ~ 32

Author(s):

Jayakrupakar Nallala ◽

Marie-Danièle Diebold ◽

Cyril Gobinet ◽

Olivier Bouché ◽

Ganesh Dhruvananda Sockalingum ◽

...

Keyword(s):

Colon Cancer ◽

Pattern Recognition ◽

Cancer Diagnosis ◽

Colon Adenocarcinoma ◽

Label Free ◽

Tissue Arrays ◽

Novel Approach ◽

Infrared Spectral ◽

Automated Pattern Recognition ◽

Spectral Histopathology

Automated and label-free colon cancer diagnosis and identification of tumor-associated features using FTIR spectral histopathology directly on paraffinized tissue arrays.

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Towards automated cancer screening: Label-free classification of fixed cell samples using wavelength modulated Raman spectroscopy

Journal of Biophotonics ◽

10.1002/jbio.201700244 ◽

2018 ◽

Vol 11 (4) ◽

pp. e201700244 ◽

Cited By ~ 8

Author(s):

Lana Woolford ◽

Mingzhou Chen ◽

Kishan Dholakia ◽

C. Simon Herrington

Keyword(s):

Raman Spectroscopy ◽

Cancer Screening ◽

Label Free ◽

Fixed Cell ◽

Free Classification

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Label-free classification of neurons and glia in neural stem cell cultures using a hyperspectral imaging microscopy combined with machine learning

Scientific Reports ◽

10.1038/s41598-018-37241-y ◽

2019 ◽

Vol 9 (1) ◽

Author(s):

Hiroshi Ogi ◽

Sanzo Moriwaki ◽

Masahiko Kokubo ◽

Yuichiro Hikida ◽

Kyoko Itoh

Keyword(s):

Machine Learning ◽

Stem Cell ◽

Hyperspectral Imaging ◽

Neural Stem Cell ◽

Cell Cultures ◽

Label Free ◽

Free Classification

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Intestinal-Type Adenocarcinoma of the Sinonasal Tract: A Clinicopathologic Study of 18 Cases

Tumori Journal ◽

10.1177/030089169307900310 ◽

1993 ◽

Vol 79 (3) ◽

pp. 205-210 ◽

Cited By ~ 18

Author(s):

Carmelo Urso ◽

Maria Benedetta Ninu ◽

Alessandro Franchi ◽

Milena Paglierani ◽

Roberto Bondi

Keyword(s):

Intestinal Type ◽

Presenting Symptoms ◽

Clinicopathologic Study ◽

Clinicopathologic Findings ◽

Poorly Differentiated ◽

Intestinal Type Adenocarcinoma ◽

Aggressive Tumors ◽

Well Differentiated ◽

Colonic Adenocarcinomas

Background Intestinal-type adenocarcinoma (ITAC) of the nose and paranasal sinuses is a relatively rare tumor. It commonly affects subjects exposed to wood or leather dust. Methods The authors present the clinicopathologic findings of 18 cases of sinonasal ITACs and review the proposed histologic classifications. Results All patients, except one, were males; mean age was 60 years (range, 41-79); in 9 cases an occupational exposure to wood or leather dust was found. Common presenting symptoms were epistaxis, nasal obstruction and rhinorrhea. Histologically, tumors were divided into four groups: well-differentiated (G1) ITACs = 3 cases; moderately differentiated (G2) ITACs = 8 cases; poorly differentiated (G3) ITACs = 2 cases; mucinous (M) ITACs = 5 cases. Immunocytochemically, 16/17 cases were positive for carcinoembryonal antigen, 1/17 for somatostatin, and 0/16 cases for gastrin. Conclusions Sinonasal ITACs are aggressive tumors, often diagnosed in a relatively advanced stage. Owing the close similarity of the microscopic aspects, a histologic classification of ITACs analogous to that of colonic adenocarcinomas is proposed.

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