Diagnosis of Lung Cancer by FTIR Spectroscopy Combined With Raman Spectroscopy Based on Data Fusion and Wavelet Transform

Yang, Xien; Wu, Zhongyu; Ou, Qiongrong; Qian, Kai; Jiang, Liqin; Yang, Weiye; Shi, Yuhua; Liu, Gang

doi:10.3389/fchem.2022.810837

Cited by 10 publications

(5 citation statements)

References 43 publications

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“…Although there are studies investigating the use of FTIR for cancer diagnosis [ 16 , 57 , 58 , 59 , 60 , 61 , 62 ], this was not the objective of the present study. Here we pioneered combining infrared spectrum analyzes and levels of redox status markers in the blood, expanding the frontier of scientific knowledge in this area for women with HER2+ BC, HER2− BC, and BBD.…”

Section: Discussionmentioning

confidence: 99%

A Lower Serum Antioxidant Capacity as a Distinctive Feature for Women with HER2+ Breast Cancer: A Preliminary Study

Santos

Silva

Ferreira

et al. 2022

Cancers

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The overexpression of HER2 in breast cancer (BC) can contribute to redox imbalance, which is related to damage and structural modification in many biomolecules. To the best of our knowledge, this is the first study that has investigated the infrared spectrum wavenumbers obtained by ATR-FTIR and their relationship with the levels of redox status markers such as reduced glutathione, superoxide dismutase (SOD), catalase, Ferric Reducing Antioxidant Power (FRAP), and protein carbonyl among women with HER2+ BC, HER2− BC, and benign breast disease (BBD). The study was conducted with 25 women, 17 of whom were diagnosed with BC (6 HER2+ and 11 HER2−) and 8 with BBD. Our results indicate HER2+ BC cases could be distinguished from HER2− BC and BBD cases by their serum’s antioxidant capacity [HER2+ BC vs. HER2− BC (AUC = 0.818; specificity = 81.82%; sensitivity = 66.67%); HER2+ BC vs. BBD (AUC = 0.875; specificity = 75%; sensitivity = 83.33%)]. The changes in biochemical terms that occur in serum as a result of the scarcity of antioxidants are related to a peculiar fingerprint in the infrared spectrum obtained by ATR-FTIR. In the serum of women with BBD, the SOD enzyme level is the highest, and this characteristic allowed us to distinguish them from HER2− BC. Finally, data regarding the serological antioxidant capacity of FRAP and the infrared spectrum by ATR-FTIR will allow us to assess biochemical changes that occur before clinical signs, indicating whether changes in therapy or interventions are necessary.

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Section: Discussionmentioning

confidence: 99%

A Lower Serum Antioxidant Capacity as a Distinctive Feature for Women with HER2+ Breast Cancer: A Preliminary Study

Santos

Silva

Ferreira

et al. 2022

Cancers

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“…The results showed an accuracy of 93.41%, specificity of 96.08%, and sensitivity of 90% for the combined data in the predictive dataset after WTD processing. Therefore, these approaches are very suitable for the diagnosis of lung cancer, making them potential targets for future use in clinical screening and diagnostic applications ( Yang X et al, 2022 ). Chen et al performed a comprehensive review and meta-analysis to validate the high sensitivity and specificity of Raman spectroscopy as a noninvasive method for diagnosing lung cancer.…”

Section: The Use Of Raman Spectroscopy For Early Lung Cancer Screenin...mentioning

confidence: 99%

The application of Raman spectroscopy for the diagnosis and monitoring of lung tumors

Miao,

Wu,

Qiang

et al. 2024

Front. Bioeng. Biotechnol.

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Raman spectroscopy is an optical technique that uses inelastic light scattering in response to vibrating molecules to produce chemical fingerprints of tissues, cells, and biofluids. Raman spectroscopy strategies produce high levels of chemical specificity without requiring extensive sample preparation, allowing for the use of advanced optical tools such as microscopes, fiber optics, and lasers that operate in the visible and near-infrared spectral range, making them increasingly suitable for a wide range of medical diagnostic applications. Metal nanoparticles and nonlinear optical effects can improve Raman signals, and optimized fiber optic Raman probes can make real-time, in vivo, single-point observations. Furthermore, diagnostic speed and spatial accuracy can be improved through the multimodal integration of Raman measurements and other technologies. Recent studies have significantly contributed to the improvement of diagnostic speed and accuracy, making them suitable for clinical application. Lung cancer is a prevalent type of respiratory malignancy. However, the use of computed tomography for detection and screening frequently reveals numerous smaller lung nodules, which makes the diagnostic process more challenging from a clinical perspective. While the majority of small nodules detected are benign, there are currently no direct methods for identifying which nodules represent very early-stage lung cancer. Positron emission tomography and other auxiliary diagnostic methods for non-surgical biopsy samples from these small nodules yield low detection rates, which might result in significant expenses and the possibility of complications for patients. While certain subsets of patients can undergo curative treatment, other individuals have a less favorable prognosis and need alternative therapeutic interventions. With the emergence of new methods for treating cancer, such as immunotherapies, which can potentially extend patient survival and even lead to a complete cure in certain instances, it is crucial to determine the most suitable biomarkers and metrics for assessing the effectiveness of these novel compounds. This will ensure that significant treatment outcomes are accurately measured. This review provides a comprehensive overview of the prospects of Raman spectroscopy and its applications in the diagnosis and analysis of lung tumors.

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“…+ interfering factors [ 89 ] Medical Diagnosis of lung cancer FT-IR; Raman LLDF PLS-DA - DF-individual model comparison LLDF > individual model; Wavelet threshold denoising of spectral data was beneficial e.d. [ 193 ] Discrimination of raw and processed Curcumae rhizoma FT-NIR; E-nose; colorimetry MLDF PLS-DA GA -> PLS; IRIV -> PLS; CARS -> PLS for NIR; correlation coefficient based feature extraction for e-nose Pairwise correlation analysis MLDF > individual model e.d. [ 110 ] Identification of rhubarb NIR; MIR MLDF PLS-DA; SIMCA; SVM; ANN Wavelet compression; iPLS PCA MLDF > individual model e.d.…”

Section: Table A1mentioning

confidence: 99%

Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review

et al. 2022

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The release of the FDA’s guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level control have considerably evolved since 2004 due to the development of advanced analytical sensors and chemometric tools. However, their transfer to the highly regulated pharmaceutical sector has been limited. To this respect, data fusion strategies have been extensively applied in different sectors, such as food or chemical, to provide a more robust performance of the analytical platforms. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept by identifying transfer opportunities from other sectors. Special attention is given to the data types available from pharmaceutical manufacturing and their compatibility with data fusion strategies. Furthermore, the integration into Pharma 4.0 is discussed.

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Diagnosis of Lung Cancer by FTIR Spectroscopy Combined With Raman Spectroscopy Based on Data Fusion and Wavelet Transform

Cited by 10 publications

References 43 publications

A Lower Serum Antioxidant Capacity as a Distinctive Feature for Women with HER2+ Breast Cancer: A Preliminary Study

A Lower Serum Antioxidant Capacity as a Distinctive Feature for Women with HER2+ Breast Cancer: A Preliminary Study

The application of Raman spectroscopy for the diagnosis and monitoring of lung tumors

Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review

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