1
|
Raposo-Neto JJ, Kowalski-Neto E, Luiz WB, Fonseca EA, Cedro AKCL, Singh MN, Martin FL, Vassallo PF, Campos LCG, Barauna VG. Near-Infrared Spectroscopy with Supervised Machine Learning as a Screening Tool for Neutropenia. J Pers Med 2023; 14:9. [PMID: 38276224 PMCID: PMC10817549 DOI: 10.3390/jpm14010009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 12/05/2023] [Accepted: 12/12/2023] [Indexed: 01/27/2024] Open
Abstract
The use of non-invasive tools in conjunction with artificial intelligence (AI) to detect diseases has the potential to revolutionize healthcare. Near-infrared spectroscopy (NIR) is a technology that can be used to analyze biological samples in a non-invasive manner. This study evaluated the use of NIR spectroscopy in the fingertip to detect neutropenia in solid-tumor oncologic patients. A total of 75 patients were enrolled in the study. Fingertip NIR spectra and complete blood counts were collected from each patient. The NIR spectra were pre-processed using Savitzky-Golay smoothing and outlier detection. The pre-processed data were split into training/validation and test sets using the Kennard-Stone method. A toolbox of supervised machine learning classification algorithms was applied to the training/validation set using a stratified 5-fold cross-validation regimen. The algorithms included linear discriminant analysis (LDA), logistic regression (LR), random forest (RF), multilayer perceptron (MLP), and support vector machines (SVMs). The SVM model performed best in the validation step, with 85% sensitivity, 89% negative predictive value (NPV), and 64% accuracy. The SVM model showed 67% sensitivity, 82% NPV, and 57% accuracy on the test set. These results suggest that NIR spectroscopy in the fingertip, combined with machine learning methods, can be used to detect neutropenia in solid-tumor oncology patients in a non-invasive and timely manner. This approach could help reduce exposure to invasive tests and prevent neutropenic patients from inadvertently undergoing chemotherapy.
Collapse
Affiliation(s)
- José Joaquim Raposo-Neto
- Department of Health Sciences, State University of Santa Cruz, Ilhéus 45662-900, Brazil;
- Laboratory of Applied Pathology and Genetics, State University of Santa Cruz, Ilhéus 45662-900, Brazil; (W.B.L.); (E.A.F.); (A.K.C.L.C.)
| | - Eduardo Kowalski-Neto
- Department of Health Sciences, State University of Santa Cruz, Ilhéus 45662-900, Brazil;
| | - Wilson Barros Luiz
- Laboratory of Applied Pathology and Genetics, State University of Santa Cruz, Ilhéus 45662-900, Brazil; (W.B.L.); (E.A.F.); (A.K.C.L.C.)
- Department of Biological Science, State University of Santa Cruz, Ilhéus 45662-900, Brazil
| | - Estherlita Almeida Fonseca
- Laboratory of Applied Pathology and Genetics, State University of Santa Cruz, Ilhéus 45662-900, Brazil; (W.B.L.); (E.A.F.); (A.K.C.L.C.)
- Department of Biological Science, State University of Santa Cruz, Ilhéus 45662-900, Brazil
| | - Anna Karla Costa Logrado Cedro
- Laboratory of Applied Pathology and Genetics, State University of Santa Cruz, Ilhéus 45662-900, Brazil; (W.B.L.); (E.A.F.); (A.K.C.L.C.)
- Department of Biological Science, State University of Santa Cruz, Ilhéus 45662-900, Brazil
| | - Maneesh N. Singh
- Biocel UK Ltd., Hull HU10 6TS, UK; (M.N.S.); (F.L.M.)
- Chesterfield Royal Hospital, Chesterfield S44 5BL, UK
| | - Francis L. Martin
- Biocel UK Ltd., Hull HU10 6TS, UK; (M.N.S.); (F.L.M.)
- Department of Cellular Pathology, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool FY3 8NR, UK
| | - Paula Frizera Vassallo
- Clinical Hospital Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil;
| | - Luciene Cristina Gastalho Campos
- Department of Health Sciences, State University of Santa Cruz, Ilhéus 45662-900, Brazil;
- Laboratory of Applied Pathology and Genetics, State University of Santa Cruz, Ilhéus 45662-900, Brazil; (W.B.L.); (E.A.F.); (A.K.C.L.C.)
- Department of Biological Science, State University of Santa Cruz, Ilhéus 45662-900, Brazil
| | - Valerio Garrone Barauna
- Department of Physiological Science, Federal University of Espírito Santo, Vitória 29932-540, Brazil;
| |
Collapse
|
2
|
Khristoforova YA, Bratchenko LA, Skuratova MA, Lebedeva EA, Lebedev PA, Bratchenko IA. Raman spectroscopy in chronic heart failure diagnosis based on human skin analysis. JOURNAL OF BIOPHOTONICS 2023:e202300016. [PMID: 36999197 DOI: 10.1002/jbio.202300016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 03/09/2023] [Accepted: 03/28/2023] [Indexed: 06/19/2023]
Abstract
This work aims at studying Raman spectroscopy in combination with chemometrics as an alternative fast noninvasive method to detect chronic heart failure (CHF) cases. Optical analysis is focused on the changes in the spectral features associated with the biochemical composition changes of skin tissues. A portable spectroscopy setup with the 785 nm excitation wavelength was used to record skin Raman features. In this in vivo study, 127 patients and 57 healthy volunteers were involved in measuring skin spectral features by Raman spectroscopy. The spectral data were analyzed with a projection on the latent structures and discriminant analysis. 202 skin spectra of patients with CHF and 90 skin spectra of healthy volunteers were classified with 0.888 ROC AUC for the 10-fold cross validated algorithm. To identify CHF cases, the performance of the proposed classifier was verified by means of a new test set that is equal to 0.917 ROC AUC.
Collapse
Affiliation(s)
- Yulia A Khristoforova
- Department of Laser and Biotechnical Systems, Samara National Research University, Samara, Russia
| | - Lyudmila A Bratchenko
- Department of Laser and Biotechnical Systems, Samara National Research University, Samara, Russia
| | - Maria A Skuratova
- Cardiology Department, City Clinical Hospital № 1 named after N. I. Pirogov, Samara, Russia
| | - Elena A Lebedeva
- Cardiology Department, City Clinical Hospital № 1 named after N. I. Pirogov, Samara, Russia
| | - Petr A Lebedev
- Therapy chair of Postgraduate Department, Samara State Medical University, Samara, Russia
| | - Ivan A Bratchenko
- Department of Laser and Biotechnical Systems, Samara National Research University, Samara, Russia
| |
Collapse
|