Real‐time tissue characterization on the basis of <i>in vivo</i> Raman spectra

Schut, Tom C. Bakker; Wolthuis, Rolf; Puppels, Gerwin J.

doi:10.1002/jrs.852

Cited by 76 publications

(41 citation statements)

References 12 publications

(10 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to avoid over-¯tting of the data, as a thumb rule, total number of factors selected for analysis were less than half the number of the spectra in the smallest group. [40][41][42] During PC-LDA, use of less than 10 PC factors for LDA is the best compromise on the information being included and data noise being excluded. 43 During PC-LDA, several factors were explored for classi¯cation and only factors with minimum over-¯tting and maximum classi¯-cation e±ciency were¯nally selected for analysis.…”

Section: Spectral Pre-processing and Data Analysismentioning

confidence: 99%

In vivosubsite classification and diagnosis of oral cancers using Raman spectroscopy

Sahu

Deshmukh

Hole

et al. 2016

J. Innov. Opt. Health Sci.

View full text Add to dashboard Cite

Oral cancers su®er from poor disease-free survival rates due to delayed diagnosis. Noninvasive, rapid, objective approaches as adjuncts to visual inspection can help in better management of oral cancers. Raman spectroscopy (RS) has shown potential in identi¯cation of oral premalignant and malignant conditions and also in the detection of early cancer changes like cancer-¯eld-e®ects (CFE) at buccal mucosa subsite. Anatomic di®erences between di®erent oral subsites have also been reported using RS. In this study, anatomical di®erences between subsites and their possible in°uence on healthy vs pathological classi¯cation were evaluated on 85 oral cancer and 72 healthy subjects. Spectra were acquired from buccal mucosa, lip and tongue in healthy, contralateral (internal healthy control), premalignant and cancer conditions using¯ber-optic Raman spectrometer. Mean spectra indicate predominance of lipids in healthy buccal mucosa, contribution of both lipids and proteins in lip while major dominance of protein in tongue spectra. From healthy to tumor, changes in protein secondary-structure, DNA and heme-related features were observed. Principal component linear discriminant analysis (PC-LDA) followed by leave-one-out-crossvalidation (LOOCV) was used for data analysis. Findings indicate buccal mucosa and tongue are distinct entities, while lip misclassi¯es with both these subsites. Additionally, the diagnostic algorithm for individual subsites gave improved classi¯cation e±ciencies with respect to the pooled subsites model. However, as the pooled subsites model yielded 98% speci¯city and 100% sensitivity, this model may be more useful for preliminary screening applications. Large-scale validation studies are a pre-requisite before envisaging future clinical applications.

show abstract

Section: Spectral Pre-processing and Data Analysismentioning

confidence: 99%

In vivosubsite classification and diagnosis of oral cancers using Raman spectroscopy

Sahu

Deshmukh

Hole

et al. 2016

J. Innov. Opt. Health Sci.

View full text Add to dashboard Cite

show abstract

“…As a result, it has been introduced into biophysics to obtain molecular structure information in both in vivo (18,19) and in vitro studies (20,21). The high spectral resolution (up to 1 cm −1 ) with Raman microscopy makes it an excellent tool for analyzing the components of human enamel specimens at the micrometer level.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the molecular structure of human enamel with fluorosis using micro-Raman spectroscopy

et al. 2012

View full text Add to dashboard Cite

) were obtained to analyze structural differences among the specimens. Although the differences were not statistically significant (P > 0.05), the mean of integral areas of ν 1 phosphate peak among groups indicated greater mineralization in the severe fluorosis group. However, there were statistically significant differences in the intensities, and the integral areas of B-type carbonate peak among groups (P < 0.05). Therefore, mineralization of the carbonate peak at 1070 cm −1 decreased significantly in fluorotic groups, suggesting that carbonate ions are easily dissolved in the presence of fluoride. Although structurally fluorotic teeth are not more susceptible to dental caries, serious alteration in its surface topography may cause retention of bacterial plaque and formation of enamel caries. Micro-Raman spectroscopy is a useful tool for analyzing the molecular structure of healthy and fluorotic human enamel. (J Oral Sci 54, 93-98, 2012)

show abstract

“…This was made possible by the recent development of Raman optical fiber probes that enable acquisition of clinical data in real-time with good signal-to-noise ratios (33). Although Raman spectroscopy has been recognized as a powerful biomedical tool for more than a decade, in vivo studies have generally been limited to skin or sites that are accessible with bulk optic geometries (34)(35)(36)(37)(38). The recent development of a smalldiameter, high-throughput Raman probe, with excellent filtering capabilities to reject unwanted signals generated within the probe itself, provides the ability to study remote organs with real-time diagnostic capability (33).…”

Section: Introductionmentioning

confidence: 99%

In vivo Margin Assessment during Partial Mastectomy Breast Surgery Using Raman Spectroscopy

et al. 2006

View full text Add to dashboard Cite

We present the first demonstration of in vivo collection of Raman spectra of breast tissue. Raman spectroscopy, which analyzes molecular vibrations, is a promising new technique for the diagnosis of breast cancer. We have collected 31 Raman spectra from nine patients undergoing partial mastectomy procedures to show the feasibility of in vivo Raman spectroscopy for intraoperative margin assessment. The data was fit with an established model, resulting in spectral-based tissue characterization in only 1 second. Application of our previously developed diagnostic algorithm resulted in perfect sensitivity and specificity for distinguishing cancerous from normal and benign tissues in our small data set. Significantly, we have detected a grossly invisible cancer that, upon pathologic review, required the patient to undergo a second surgical procedure. Had Raman spectroscopy been used in a real-time fashion to guide tissue excision during the procedure, the additional reexcision surgery might have been avoided. These preliminary findings suggest that Raman spectroscopy has the potential to lessen the need for reexcision surgeries resulting from positive margins and thereby reduce the recurrence rate of breast cancer following partial mastectomy surgeries. (Cancer Res 2006; 66(6): 3317-22)

show abstract

Real‐time tissue characterization on the basis of in vivo Raman spectra

Cited by 76 publications

References 12 publications

In vivosubsite classification and diagnosis of oral cancers using Raman spectroscopy

In vivosubsite classification and diagnosis of oral cancers using Raman spectroscopy

Analysis of the molecular structure of human enamel with fluorosis using micro-Raman spectroscopy

In vivo Margin Assessment during Partial Mastectomy Breast Surgery Using Raman Spectroscopy

Contact Info

Product

Resources

About