Article
Dermatology
Ivan A. Bratchenko, Lyudmila A. Bratchenko, Alexander A. Moryatov, Yulia A. Khristoforova, Dmitry N. Artemyev, Oleg O. Myakinin, Andrey E. Orlov, Sergey V. Kozlov, Valery P. Zakharov
Summary: In this study, skin cancer was diagnosed in vivo using a portable low-cost spectroscopy setup, showing promising accuracy in classifying malignant and benign tumors, melanomas and pigmented tumors, and melanomas and seborrhoeic keratosis. The proposed system's automatic analysis accuracy outperformed GPs and trainees, and was comparable to trained dermatologists, suggesting potential for improving neoplasms classification in combination with other optical techniques.
EXPERIMENTAL DERMATOLOGY
(2021)
Article
Oncology
Ilaria Giovannacci, Marco Meleti, Federico Garbarino, Anna Maria Cesinaro, Ema Mataca, Giuseppe Pedrazzi, Camilla Reggiani, Alessia Paganelli, Arianna Truzzi, Federica Elia, Luca Giacomelli, Cristina Magnoni
Summary: Non-melanoma skin cancer (NMSC) is the most common malignant tumor affecting fair-skinned people, and autofluorescence (AF) spectroscopy has been explored for early detection and diagnosis. Histopathological features such as hyperkeratosis and neoangiogenesis are statistically associated with a decrease in AF intensity, indicating its potential as a non-invasive diagnostic tool for NMSCs.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yinghe Lin, Shuiqing Lai, Peiqing Wang, Jinlian Li, Zhijiang Chen, Long Wang, Haixia Guan, Jian Kuang
Summary: This study investigated the ability of currently used ultrasound-based malignancy risk stratification systems in distinguishing follicular thyroid carcinoma from follicular thyroid adenoma and determining the indication for biopsy. The results showed limitations in accurately distinguishing follicular neoplasms and reducing unnecessary biopsies.
EUROPEAN RADIOLOGY
(2022)
Article
Horticulture
Ho-Jin Seo, Janghoon Song
Summary: A non-destructive testing instrument was developed using visible and near-infrared spectroscopy to detect and differentiate internal browning in 'Greensis' pears. A robust calibration equation was derived through comprehensive analysis, and a predictive model for detecting and quantifying browning was established. The instrument achieved a discrimination accuracy of 95% between normal pears and those exhibiting browning symptoms through principal component analysis.
Article
Instruments & Instrumentation
Ziniu Zhao, Yihan Liu, Shuo Yang, Yurong Li, Yeshun Zhang, Hui Yan
Summary: In this study, the near-infrared spectra of mulberry leaves were recorded by a portable NIR spectrometer, and the spectral data were preprocessed using the first derivative and standard normal variate. The sensitive variables were selected using CARS, RF, and UVE, and a calibration model based on PLS regression was established. The model was validated, showing robustness with RMSEP of 2.59 and R2P of 0.7105. Therefore, the portable NIR spectrometer can be used for on-site and in-field detection of mulberry leaf tenderness, which is beneficial for the sericulture industry.
INFRARED PHYSICS & TECHNOLOGY
(2023)
Article
Chemistry, Applied
Annelisa Arruda de Brito, Fernanda Campos, Abadia dos Reis Nascimento, Clarissa Damiani, Flavio Alves da Silva, Gustavo Henrique de Almeida Teixeira, Luis Carlos Cunha Junior
Summary: This study used a portable Vis-NIR spectrometer to collect the spectra of fresh tomatoes from five tomato cropping regions in Brazil and developed models to predict the color and dry matter content of tomatoes. The results showed good prediction results for color and dry matter, but poor prediction results for titratable acidity.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2022)
Article
Spectroscopy
Phindile Faith Ndlovu, Lembe Samukelo Magwaza, Samson Zeray Tesfay, Rebogile Ramaesele Mphahlele
Summary: The study successfully developed rapid visible to near-infrared spectroscopic models for detecting gluten adulteration, providing a reliable method to ensure the safety of banana flour.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Oncology
Rana Zaki Abdul Bari, Haq Nawaz, Muhammad Irfan Majeed, Nosheen Rashid, Maham Iqbal, Maria Akram, Nimra Yaqoob, Sadia Yousaf, Aqsa Mushtaq, Farakh Almas, Anam Shahzadi, Imran Amin
Summary: This study successfully distinguished hepatitis B serum samples from healthy serum samples using Raman spectroscopy and chemometric tools. The centrifugal filtration process improved the accuracy of diagnosis.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2022)
Article
Automation & Control Systems
Jokin Ezenarro, Daniel Schorn-Garcia, Laura Acena, Montserrat Mestres, Olga Busto, Ricard Boque
Summary: This article proposes a new performance evaluation parameter, JScore, which combines commonly used model evaluation parameters and can assist non-experienced analysts in selecting the appropriate number of LVs and preprocessing technique in an automated way.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Oncology
Elham Yousefi, Gloria H. Sura, Jonathan Somma
Summary: A risk assessment model for thyroid nodules was developed, aiming to reduce the number of clinically indeterminate nodules and surgical overtreatment. By integrating clinical, ultrasonographic, and cytologic data, a logistic regression model with high accuracy was created to provide clear management plans for patients.
Review
Otorhinolaryngology
Max Rohde, Malene Korsholm, Michael Luscher, Soren Fast, Christian Godballe
Summary: There is no evidence supporting the routine use of blind biopsies or cross-sectional imaging for detecting nasopharyngeal malignancy in adults with isolated serous otitis media of unknown cause. A pragmatic management algorithm for these patients has been proposed.
EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Marco Lucioni, Chiara Rossi, Pascal Lomoro, Francesco Ballati, Marianna Fanizza, Alberta Ferrari, Carlos A. Garcia-Etienne, Emanuela Boveri, Giulia Meloni, Maria Grazia Sommaruga, Elisa Ferraris, Angioletta Lasagna, Elisabetta Bonzano, Marco Paulli, Adele Sgarella, Giuseppe Di Giulio
Summary: The study evaluates the positive predictive value for malignancy in B3 lesions that underwent surgical excision, with the highest upgrade rate found in atypical ductal hyperplasia. Open surgery is recommended only in cases of atypical ductal hyperplasia, while excision with VABB may be an acceptable alternative for other B3 lesions.
EUROPEAN RADIOLOGY
(2021)
Article
Spectroscopy
Tianyi Dou, Alexei Ermolenkov, Samantha R. Hays, Brian T. Rich, Taylor G. Donaldson, Donald Thomas, Pete D. Teel, Dmitry Kurouski
Summary: This study shows that tick species can be identified and their developmental stage can be predicted based on the spectroscopic signatures of their feces. A handheld Raman spectrometer can be used for the diagnosis of tick species on cattle, offering non-invasive and non-destructive analysis.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Otorhinolaryngology
Arya W. Namin, Lauren Welby, Austin T. Baker, Laura M. Dooley
Summary: This retrospective cohort study analyzed the National Cancer Database to identify clinicopathologic features associated with positive margins after surgical treatment of cutaneous melanoma of the head and neck. Increasing age, female sex, specific subsites, ulceration status, different subtypes, and pT classification were found to be significantly associated with positive margins following surgery.
OTOLARYNGOLOGY-HEAD AND NECK SURGERY
(2021)
Article
Spectroscopy
Christina Ebert, Lorena Tuchscherr, Nancy Unger, Christine Poellath, Frederike Gladigau, Juergen Popp, Bettina Loeffler, Ute Neugebauer
Summary: The study correlated fast Raman spectroscopic read-out of clinical Staphylococcus aureus isolates with their biofilm-forming characteristics, revealing significant spectral differences between high and low biofilm performers in the fingerprint region between 750 and 1150 cm(-1). Partial least square regression (PLSR) analysis showed a slight linear correlation of the Raman spectra with biofilm OD values, highlighting spectral differences in Raman bands representing nucleic acids, carbohydrates, and proteins. This suggests a potential application of Raman spectroscopy as a fast prediction tool for biofilm formation of bacterial strains directly after isolation, aiding clinicians in making timely and adapted therapeutic decisions.
JOURNAL OF RAMAN SPECTROSCOPY
(2021)
Article
Dermatology
Ivan A. Bratchenko, Lyudmila A. Bratchenko, Alexander A. Moryatov, Yulia A. Khristoforova, Dmitry N. Artemyev, Oleg O. Myakinin, Andrey E. Orlov, Sergey V. Kozlov, Valery P. Zakharov
Summary: In this study, skin cancer was diagnosed in vivo using a portable low-cost spectroscopy setup, showing promising accuracy in classifying malignant and benign tumors, melanomas and pigmented tumors, and melanomas and seborrhoeic keratosis. The proposed system's automatic analysis accuracy outperformed GPs and trainees, and was comparable to trained dermatologists, suggesting potential for improving neoplasms classification in combination with other optical techniques.
EXPERIMENTAL DERMATOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Dmitry N. Artemyev, Vladimir I. Kukushkin, Sofia T. Avraamova, Nikolay S. Aleksandrov, Yuri A. Kirillov
Summary: Analytical discrimination models of Raman spectra of prostate tissue were constructed using PLS-DA method with different excitation wavelengths, achieving accurate differentiation between prostate cancer and hyperplasia sites, with calibration dataset accuracy reaching 100%. The study confirmed key features of cellular metabolism in malignant prostate tumors and explored the potential of optical spectroscopy methods for prostate cancer differential diagnosis.
Editorial Material
Spectroscopy
Ivan A. Bratchenko, Lyudmila A. Bratchenko
Summary: The paper comments on the article by X. Zheng et al. on combining derivative Raman with autofluorescence to improve the diagnosis performance of echinococcosis. Despite the high performance of the proposed approach, the results may be ambiguous due to the incorrect number of principal components utilized in classification models for spectral datasets analysis.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Oncology
Lyudmila A. Bratchenko, Yulia A. Khristoforova, Alexander A. Moryatov, Ivan A. Bratchenko
Summary: Optical biopsy using Raman spectroscopy can improve early diagnosis of rare skin neoplasms, as demonstrated in a case report of a 32-year-old woman with dermatofibrosarcoma protuberans.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2021)
Article
Computer Science, Interdisciplinary Applications
Ivan A. Bratchenko, Lyudmila A. Bratchenko, Yulia A. Khristoforova, Alexander A. Moryatov, Sergey V. Kozlo, Valery P. Zakharo
Summary: This study compared the performance of convolutional neural networks and projection on latent structures with discriminant analysis for discriminating skin cancer based on Raman spectroscopy analysis with a high autofluorescence background. Results showed that convolutional neural networks significantly outperformed the projection on latent structures in classification tasks.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Medicine, General & Internal
Yulia Khristoforova, Ivan Bratchenko, Lyudmila Bratchenko, Alexander Moryatov, Sergey Kozlov, Oleg Kaganov, Valery Zakharov
Summary: This study combines patient data with Raman and autofluorescence spectral parameters for more accurate identification of skin tumors. Significant factors such as gender, age, and tumor localization improve the classification of malignant versus benign neoplasms and melanoma versus pigmented skin tumors when analyzed together according to the spectral data. However, no significant improvement is observed when patient data is added to the spectral data for the classification of melanoma versus seborrheic keratosis.
Article
Chemistry, Analytical
Irina Matveeva, Ivan Bratchenko, Yulia Khristoforova, Lyudmila Bratchenko, Alexander Moryatov, Sergey Kozlov, Oleg Kaganov, Valery Zakharov
Summary: Raman spectroscopy has been used to study biological tissues, but the analysis of experimental Raman spectra is still challenging. In this study, the MCR-ALS method was used to decompose Raman spectra into components and evaluate their contribution. The results showed that this method can provide new information on the biochemical profiles of skin tissues, which can be applied in medical diagnostics and various fields of science and industry.
Review
Biochemistry & Molecular Biology
Yulia Khristoforova, Lyudmila Bratchenko, Ivan Bratchenko
Summary: This review discusses the applications of Raman spectroscopy in medical diagnostics, including conventional Raman spectroscopy and surface-enhanced Raman spectroscopy. These techniques have been used to rapidly measure specific biomarkers of diseases such as cardiovascular disease, cancer, neurodegenerative disease, and COVID-19. However, there are still challenges and limitations that need to be addressed for their translation into clinical settings.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Proceedings Paper
Engineering, Biomedical
Y. A. Khristoforova, I. A. Bratchenko, L. A. Bratchenko, A. A. Moryatov, S. Kozlov, V. P. Zakharov
Summary: This study performed in vivo optical diagnostic of skin cancer using autofluorescence spectroscopy in the near infrared region to detect amelanotic melanoma among other skin cancer types.
TRANSLATIONAL BIOPHOTONICS: DIAGNOSTICS AND THERAPEUTICS
(2021)
Proceedings Paper
Engineering, Biomedical
Anastasiya Shatskaya, Dmitrii Artemev
Summary: This work focuses on developing and manufacturing the collection channel for a Raman probe using 3D printing technologies. Different 3D printing technologies, such as FFF and SLA, were explored for making holders for optical elements and aligning them. The design allows for a modular approach, enabling the replacement or addition of optical elements, and the developed probe successfully recorded the Raman spectrum of aspirin compared to a commercial StellarNet Raman probe.
DIFFUSE OPTICAL SPECTROSCOPY AND IMAGING VIII
(2021)
Article
Biochemical Research Methods
Lyudmila A. Bratchenko, Ivan A. Bratchenko, Yulia A. Khristoforova, Dmitry N. Artemyev, Daria Y. Konovalova, Peter A. Lebedev, Valery P. Zakharov
Summary: This study utilized conventional Raman spectroscopy to study skin spectral characteristics in patients with kidney failure, achieving high accuracy, sensitivity, and specificity in identifying the target subjects. Autofluorescence analysis was also effective in distinguishing kidney failure patients from healthy volunteers. The PLS-DA method demonstrated that specific Raman spectral bands are informative for identifying kidney failure.
JOURNAL OF BIOPHOTONICS
(2021)
