Application of infrared spectroscopy in the identification of Ewing sarcoma: A preliminary report

Chaber, Radosław; Łach, Kornelia; Szmuc, K.; Michalak, Elżbieta; Raciborska, Anna; Machaczka, Maciej; Cebulski, J.

doi:10.1016/j.infrared.2017.05.006

Cited by 16 publications

(10 citation statements)

References 39 publications

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“…The emerging diagnostic applications of FTIR spectroscopy are growing as the field matures and it has been applied successfully to the study of breast cancer 17 , lung cancer 26 , ovarian cancer 27 , brain tumors 28 , cervical cancer 29 , gastric cancer 30 , colon cancer 31 , prostate cancer 32 . The preliminary results of FTIR spectroscopy application in diagnostics of a bone tumour have been reported in our previous studies 15 , 24 emphasizing the applicability of FTIR to all tissue types.…”

Section: Discussionmentioning

confidence: 72%

“…In our previous, preliminary study 24 we postulated that the shift of the maximum absorbance peak in the range 1100 cm −1 –900 cm −1 , which was related to chemotherapy response, is dependent on signals derived from the phosphate group in the sample. Presently, based on the greater results of the spectral analysis presented herein, we have to revise this conclusion and state that it is impossible to unequivocally attribute this peak only to one chemical structure as the vibrations of different molecular components of a cell overlap and the spectrum thus reflects the average biochemical composition 13 .…”

Section: Discussionmentioning

confidence: 98%

“…Our previous preliminary study 24 , had revealed that wave-numbers in the range 950–1100 cm −1 are the most relevant for monitoring ES clinical course. The wave-number corresponding to the position of absorbance peak maximum in this range was subsequently analyzed and compared with clinical data.…”

Section: Methodsmentioning

confidence: 99%

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Prediction of Ewing Sarcoma treatment outcome using attenuated tissue reflection FTIR tissue spectroscopy

Chaber

Łach

Arthur

et al. 2018

Sci Rep

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Ewing sarcoma is the second most common type of primary bone cancer and predominantly affects children and young people. Improved outcome prediction is key to delivering risk-adjusted, appropriate and effective care to cancer patients. Advances in the Fourier Transform Infrared (FTIR) spectroscopy of tissues enable it to be a non-invasive method to obtain information about the biochemical content of any biological sample. In this retrospective study, attenuated tissue reflection FTIR spectroscopy of biopsy samples from paediatric patients reveals spectral features that are diagnostic for Ewing Sarcoma. Furthermore, our results suggest that spectral features such as these may be of value for the prediction of treatment outcome independent to well-known, routinely used risk factors.

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Section: Discussionmentioning

confidence: 72%

Section: Discussionmentioning

confidence: 98%

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Prediction of Ewing Sarcoma treatment outcome using attenuated tissue reflection FTIR tissue spectroscopy

Chaber

Łach

Arthur

et al. 2018

Sci Rep

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“…We have previously shown that the peak absorbance maxima in the bio-fingerprinting region (1000–1100 cm −1 ) of FTIR spectra of Ewing sarcoma bone sections can be predictive of patient outcome. [21,22] Following on from this, we considered whether treatment outcome might be better predicted by the analysis of the whole FTIR spectra. Herein we report a small-cohort retrospective study into the prognostic value of the whole spectrum obtained from ES tumours before and after neoadjuvant chemotherapy administration in combination with data-reduction and machine learning approaches.…”

Section: Introductionmentioning

confidence: 99%

Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning

et al. 2019

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Background: Improved outcome prediction is vital for the delivery of risk-adjusted, appropriate and effective care to paediatric patients with Ewing sarcoma—the second most common paediatric malignant bone tumour. Fourier transform infrared (FTIR) spectroscopy of tissues allows the bulk biochemical content of a biological sample to be probed and makes possible the study and diagnosis of disease. Methods: In this retrospective study, FTIR spectra of sections of biopsy-obtained bone tissue were recorded. Twenty-seven patients (between 5 and 20 years of age) with newly diagnosed Ewing sarcoma of bone were included in this study. The prognostic value of FTIR spectra obtained from Ewing sarcoma (ES) tumours before and after neoadjuvant chemotherapy were analysed in combination with various data-reduction and machine learning approaches. Results: Random forest and linear discriminant analysis supervised learning models were able to correctly predict patient mortality in 92% of cases using leave-one-out cross-validation. The best performing model for predicting patient relapse was a linear Support Vector Machine trained on the observed spectral changes as a result of chemotherapy treatment, which achieved 92% accuracy. Conclusion: FTIR spectra of tumour biopsy samples may predict treatment outcome in paediatric Ewing sarcoma patients with greater than 92% accuracy.

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“…In addition to this clinical utility, FTIR spectroscopy is rapid, inexpensive and straightforward to perform. The FTIR features of Ewing sarcoma infected bone tissue have been previously reported 8 , however to-date no study has reported the FTIR spectroscopic features of osteomyelitis nor compared those with Ewing Sarcoma to determine whether they differ.…”

Section: Introductionmentioning

confidence: 99%

Distinguishing Ewing sarcoma and osteomyelitis using FTIR spectroscopy

Chaber

Arthur

Depciuch

et al. 2018

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The differential diagnosis of Ewing sarcoma and osteomyelitis can be challenging and can lead to delays in treatment with possibly devastating results. In this retrospective, small-cohort study we demonstrate, that the Fourier Transformed Infrared (FTIR) spectra of osteomyelitis bone tissue can be differentiated from Ewing sarcoma and normal bone tissue sampled outside tumour area. Significant differences in osteomyelitis samples can be seen in lipid and protein composition. Supervised learning using a quadratic discriminant analysis classifier was able to differentiate the osteomyelitis samples with high accuracy. FTIR spectroscopy, alongside routine radiological and histopathological methods, may offer an additional tool for the differential diagnosis of osteomyelitis and ES.

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Application of infrared spectroscopy in the identification of Ewing sarcoma: A preliminary report

Cited by 16 publications

References 39 publications

Prediction of Ewing Sarcoma treatment outcome using attenuated tissue reflection FTIR tissue spectroscopy

Prediction of Ewing Sarcoma treatment outcome using attenuated tissue reflection FTIR tissue spectroscopy

Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning

Distinguishing Ewing sarcoma and osteomyelitis using FTIR spectroscopy

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