Focus on pre-processing step to ensure the clinical transferability of Raman data acquired on lymphocytes in different experimental and instrumental conditions
•Transferability of models.•Bench-to-bedside.•Pre-processing by EMSC allows multicentric data to be homogenized. The efficiency of Raman spectroscopy for the analysis of biomedical samples has been largely demonstrated at the proof-of-concept stage during one-off measurement campaigns. However, brin...
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| Vydané v: | Vibrational spectroscopy Ročník 103; s. 102931 |
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| Hlavní autori: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
01.07.2019
Elsevier |
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| ISSN: | 0924-2031, 1873-3697 |
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| Abstract | •Transferability of models.•Bench-to-bedside.•Pre-processing by EMSC allows multicentric data to be homogenized.
The efficiency of Raman spectroscopy for the analysis of biomedical samples has been largely demonstrated at the proof-of-concept stage during one-off measurement campaigns. However, bringing these results to the patient bedside requires to fill the gap for transferability of Raman data acquired in different experimental and instrumental conditions during multicentric measurement campaigns. In this study, we propose to evaluate a solution consisting in the application of Raman data preprocessing specifically developed to remove the spectral variability induced by such different conditions. For this purpose, we compared Raman data of lymphocytes acquired during two independent measurement campaigns from fresh unstained glass blood smears originating from healthy individuals and patients with a B-cell chronic lymphocytic leukemia (CLL) at an advanced stage. The differences between these campaigns were i) the instrumental configuration of the Raman devices, ii) the hospital partner, iii) the smear preparation method. A preprocessing developed previously and efficient for a specific measurement campaign is shown obsolete for these multicentric data. A second preprocessing based on Extended Multiplicative Signal Correction is able to homogenize the data by neutralizing the signal variability between the two measurement campaigns. These conclusions are drawn from the analysis of the data by Principal Component Analysis to study the source of variability between the two campaigns and by Partial Least Squares – Discriminant Analysis to assess the separability between healthy and CLL patients. |
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| AbstractList | •Transferability of models.•Bench-to-bedside.•Pre-processing by EMSC allows multicentric data to be homogenized.
The efficiency of Raman spectroscopy for the analysis of biomedical samples has been largely demonstrated at the proof-of-concept stage during one-off measurement campaigns. However, bringing these results to the patient bedside requires to fill the gap for transferability of Raman data acquired in different experimental and instrumental conditions during multicentric measurement campaigns. In this study, we propose to evaluate a solution consisting in the application of Raman data preprocessing specifically developed to remove the spectral variability induced by such different conditions. For this purpose, we compared Raman data of lymphocytes acquired during two independent measurement campaigns from fresh unstained glass blood smears originating from healthy individuals and patients with a B-cell chronic lymphocytic leukemia (CLL) at an advanced stage. The differences between these campaigns were i) the instrumental configuration of the Raman devices, ii) the hospital partner, iii) the smear preparation method. A preprocessing developed previously and efficient for a specific measurement campaign is shown obsolete for these multicentric data. A second preprocessing based on Extended Multiplicative Signal Correction is able to homogenize the data by neutralizing the signal variability between the two measurement campaigns. These conclusions are drawn from the analysis of the data by Principal Component Analysis to study the source of variability between the two campaigns and by Partial Least Squares – Discriminant Analysis to assess the separability between healthy and CLL patients. |
| ArticleNumber | 102931 |
| Author | Liu, L.H Untereiner, V. Féré, M. Klossa, J. Chollat, M. Chatelain, B. Piot, O. Gheldof, D. Gobinet, C. Beljebbar, A. |
| Author_xml | – sequence: 1 givenname: M. surname: Féré fullname: Féré, M. organization: University of Reims Champagne-Ardenne, BioSpecT EA 7506, Faculty of Pharmacy, Reims, France – sequence: 2 givenname: O. surname: Piot fullname: Piot, O. email: olivier.piot@univ-reims.fr organization: University of Reims Champagne-Ardenne, BioSpecT EA 7506, Faculty of Pharmacy, Reims, France – sequence: 3 givenname: L.H surname: Liu fullname: Liu, L.H organization: University of Reims Champagne-Ardenne, BioSpecT EA 7506, Faculty of Pharmacy, Reims, France – sequence: 4 givenname: A. surname: Beljebbar fullname: Beljebbar, A. organization: University of Reims Champagne-Ardenne, BioSpecT EA 7506, Faculty of Pharmacy, Reims, France – sequence: 5 givenname: V. surname: Untereiner fullname: Untereiner, V. organization: Cellular and Tissular Imaging Platform PICT, University of Reims Champagne-Ardenne, Reims, France – sequence: 6 givenname: D. surname: Gheldof fullname: Gheldof, D. organization: Catholic University of Louvain, CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Yvoir, Belgium – sequence: 7 givenname: M. surname: Chollat fullname: Chollat, M. organization: TRIBVN, Châtillon, France – sequence: 8 givenname: J. surname: Klossa fullname: Klossa, J. organization: TRIBVN, Châtillon, France – sequence: 9 givenname: B. surname: Chatelain fullname: Chatelain, B. organization: Catholic University of Louvain, CHU UCL Namur, Namur Thrombosis and Hemostasis Center, Hematology Laboratory, Yvoir, Belgium – sequence: 10 givenname: C. surname: Gobinet fullname: Gobinet, C. organization: University of Reims Champagne-Ardenne, BioSpecT EA 7506, Faculty of Pharmacy, Reims, France |
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| CitedBy_id | crossref_primary_10_1007_s00216_019_02321_z crossref_primary_10_1016_j_jchromb_2021_122820 crossref_primary_10_1016_j_chemolab_2020_104006 crossref_primary_10_1177_00037028221094070 |
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| Keywords | Data transferability Chronic lymphocytic leukemia Raman spectroscopy Clinical practice Pre-processing |
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The efficiency of Raman spectroscopy for the... |
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| Title | Focus on pre-processing step to ensure the clinical transferability of Raman data acquired on lymphocytes in different experimental and instrumental conditions |
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