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Table 4 Raman imaging for tumor diagnosis

From: Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion

Sample

Target

Technology

Method

Diagnosis

Ref

Tissue

-

CRM

Peak comparison

Benign cementoma

[160]

-

PLS-DA

Bladder cancer

[161]

HAp

PCA

Breast cancer

[166]

-

-

[167]

-

-

Chondrogenic Tumors

[169]

-

Peak comparison

Colon cancer

[170]

-

-

Skin cancer

[175]

-

SVM

[180]

-

SRH

Cohen’s kappa

Brain & spine tumors

[164]

-

-

[165]

-

Cohen’s kappa

Glioma

[171]

-

Cohen’s kappa

Meningiomas

[172]

-

Cohen’s kappa

Sinonasal & skull base tumors

[176]

-

Cohen’s kappa

Skull base tumors

[177]

-

-

Central nervous system

lesions

[181]

-

LSRM

PCA-SVM

Pituitary adenomas

[182]

Cell

-

CRM

PCA, PLS-DA

Bladder cancer cells

[162]

-

RF

Breast cancer cells

[168]

EVs

-

[183]

Fatty acid

-

Cervical cancer cells

[184]

Vitamin C

Peak comparison

Colorectal cancer cells

[59]

Lipids

-

Endothelial cells

[185]

Retinol

-

Glioblastoma cancer cells

[186]

Cholesteryl esters

-

Prostate cancer cells

[156]

-

PCA

[173]

LDs

-

[174]

LDs

SRS

-

Breast cancer cell

[187]

-

-

Cervical cancer cell

[188]

Ponatinib

-

Leukemia cell

[189]

Glycogen

-

Melanoma cell

[178]

LDs

-

[179]

-

-

Pancreatic cancer cell

[190]

Telomerase, microRNA

SERS

-

Breast & cervical cancer cells

[191]

Exosomes

-

Cervical cancer cell

[192]

-

-

[193]

-

-

Colon cancer cell

[194]

Membrane receptor

-

[195]

-

-

Glioblastoma cells

[196]

Tissue

-

SRS

SVM

Glioblastomas

[197]

Calcifications

SVM

Breast tumor

[198]

-

SRH

CNN

Brain tumor

[31]

-

CNN

[199]

Cell

CNN

[200]

-

CNN

Gastric cancer

[201]

-

CNN

Glioma

[202]

-

CNN

Laryngeal carcinoma

[203]

  1. CRM Confocal Raman microscope, CNN Convolutional neural network, EVs Extracellular vesicles, HAp Hydroxyapatite, LSRM Line scan Raman microspectroscopy, LDs Lipid droplets, PLS Partial least squares, DA Discriminate analysis, PCA Principal component analysis, RF Random forest, SERS Surface-enhanced Raman spectroscopy, SRH Stimulated Raman histology, SRS Stimulated Raman scattering, SVM Support-vector machines