1
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Xue M, Li S, Zhu Q. Improving diffuse optical tomography imaging quality using APU-Net: an attention-based physical U-Net model. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:086001. [PMID: 39070721 PMCID: PMC11272096 DOI: 10.1117/1.jbo.29.8.086001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/28/2024] [Accepted: 07/01/2024] [Indexed: 07/30/2024]
Abstract
Significance Traditional diffuse optical tomography (DOT) reconstructions are hampered by image artifacts arising from factors such as DOT sources being closer to shallow lesions, poor optode-tissue coupling, tissue heterogeneity, and large high-contrast lesions lacking information in deeper regions (known as shadowing effect). Addressing these challenges is crucial for improving the quality of DOT images and obtaining robust lesion diagnosis. Aim We address the limitations of current DOT imaging reconstruction by introducing an attention-based U-Net (APU-Net) model to enhance the image quality of DOT reconstruction, ultimately improving lesion diagnostic accuracy. Approach We designed an APU-Net model incorporating a contextual transformer attention module to enhance DOT reconstruction. The model was trained on simulation and phantom data, focusing on challenges such as artifact-induced distortions and lesion-shadowing effects. The model was then evaluated by the clinical data. Results Transitioning from simulation and phantom data to clinical patients' data, our APU-Net model effectively reduced artifacts with an average artifact contrast decrease of 26.83% and improved image quality. In addition, statistical analyses revealed significant contrast improvements in depth profile with an average contrast increase of 20.28% and 45.31% for the second and third target layers, respectively. These results highlighted the efficacy of our approach in breast cancer diagnosis. Conclusions The APU-Net model improves the image quality of DOT reconstruction by reducing DOT image artifacts and improving the target depth profile.
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Affiliation(s)
- Minghao Xue
- Washington University in St. Louis, Biomedical Engineering Department, St. Louis, Missouri, United States
| | - Shuying Li
- Boston University, Electrical and Computer Engineering Department, Boston, Massachusetts, United States
| | - Quing Zhu
- Washington University in St. Louis, Biomedical Engineering Department, St. Louis, Missouri, United States
- Washington University in St. Louis, Radiology Department, St. Louis, Missouri, United States
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2
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Mule N, Maffeis G, Cubeddu R, Santangelo C, Bianchini G, Panizza P, Taroni P. Monitoring of neoadjuvant chemotherapy through time domain diffuse optics: breast tissue composition changes and collagen discriminative potential. BIOMEDICAL OPTICS EXPRESS 2024; 15:4842-4858. [PMID: 39346975 PMCID: PMC11427201 DOI: 10.1364/boe.527968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/26/2024] [Accepted: 06/26/2024] [Indexed: 10/01/2024]
Abstract
The purpose of this clinical study is to test a broad spectral range (635-1060 nm) time-domain diffuse optical spectroscopy in monitoring the response of breast cancer patients to neoadjuvant chemotherapy (NAC). The broadband operation allows us to fully analyze tissue composition in terms of hemoglobin, water, lipids and collagen concentration, which has never been systematically studied until now during the course of therapy. Patients are subjected to multiple breast optical imaging sessions, each one performed at different stages of NAC, both on tumor-bearing and contralateral healthy breasts. We correlate the optical results with conventional imaging techniques and pathological response. Preliminary outcomes on 10 patients' data show an average significant reduction in the concentrations of oxy-hemoglobin (-53%, p = 0.0020), collagen (-36%, p = 0.0039) and water (-15%, p = 0.0195), and increase in lipids (+39%, p = 0.0137) from baseline to the end of therapy in the tumor-bearing breast of patients who responded to therapy at least partially. With respect to scattering, the scattering amplitude, a, increases slightly (+15%, p = 0.0039) by the end of the therapy compared to the baseline, while the scattering slope, b, shows no significant change (+4%, p = 0.9219). Some change in the constituents' concentrations was also noticed in the contralateral healthy breast, even though it was significant only for oxy-hemoglobin concentration. We observed that collagen seems to be the only component distinguishing between complete and partial responders by the end of 2-3 weeks from the baseline. In the complete responder group, collagen significantly decreased after 2-3 weeks with respect to baseline (p = 0.0423). While the partial responder group also showed a decrease, it did not reach statistical significance (p = 0.1012). This suggests that collagen could serve as a potential biomarker to measure NAC effectiveness early during treatment. Even though obtained on a small group of patients, these initial results are consistent with those of standard medical modalities and highlight the sensitivity of the technique to changes that occur in breast composition during NAC.
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Affiliation(s)
- Nikhitha Mule
- Politecnico di Milano, Dipartimento di Fisica, Piazza Leonardo Da Vinci 32, 20133 Milano, Italy
- Scientific Institute (IRCCS) Ospedale San Raffaele, Breast Imaging Unit, Via Olgettina 60, 20132 Milano, Italy
| | - Giulia Maffeis
- Politecnico di Milano, Dipartimento di Fisica, Piazza Leonardo Da Vinci 32, 20133 Milano, Italy
| | - Rinaldo Cubeddu
- Politecnico di Milano, Dipartimento di Fisica, Piazza Leonardo Da Vinci 32, 20133 Milano, Italy
| | - Carolina Santangelo
- Scientific Institute (IRCCS) Ospedale San Raffaele, Breast Imaging Unit, Via Olgettina 60, 20132 Milano, Italy
| | - Giampaolo Bianchini
- Scientific Institute (IRCCS) Ospedale San Raffaele, Department of Medical Oncology, Via Olgettina 60, 20132 Milano, Italy
- School of Medicine and Surgery, Università Vita-Salute San Raffaele, Via Olgettina 60, 20132 Milano, Italy
| | - Pietro Panizza
- Scientific Institute (IRCCS) Ospedale San Raffaele, Breast Imaging Unit, Via Olgettina 60, 20132 Milano, Italy
| | - Paola Taroni
- Politecnico di Milano, Dipartimento di Fisica, Piazza Leonardo Da Vinci 32, 20133 Milano, Italy
- Consiglio Nazionale delle Ricerche, Istituto di Fotonica e Nanotecnologie, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
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Martelli F, Pifferi A, Farina A, Amendola C, Maffeis G, Tommasi F, Cavalieri S, Spinelli L, Torricelli A. Statistics of maximum photon penetration depth in a two-layer diffusive medium. BIOMEDICAL OPTICS EXPRESS 2024; 15:1163-1180. [PMID: 38404319 PMCID: PMC10890894 DOI: 10.1364/boe.507294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/30/2023] [Accepted: 12/20/2023] [Indexed: 02/27/2024]
Abstract
We present numerical results for the probability density function f(z) and for the mean value of photon maximum penetration depth ‹zmax› in a two-layer diffusive medium. Both time domain and continuous wave regime are considered with several combinations of the optical properties (absorption coefficient, reduced scattering coefficient) of the two layers, and with different geometrical configurations (source detector distance, thickness of the upper layer). Practical considerations on the design of time domain and continuous wave systems are derived. The methods and the results are of interest for many research fields such as biomedical optics and advanced microscopy.
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Affiliation(s)
- Fabrizio Martelli
- Dipartimento di Fisica e Astronomia, Università degli Studi di Firenze, Sesto Fiorentino, Firenze, Italy
| | - Antonio Pifferi
- Dipartimento di Fisica, Politecnico di Milano, Milan, Italy
- Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle Ricerche, Milan, Italy
| | - Andrea Farina
- Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle Ricerche, Milan, Italy
| | | | - Giulia Maffeis
- Dipartimento di Fisica, Politecnico di Milano, Milan, Italy
| | - Federico Tommasi
- Dipartimento di Fisica e Astronomia, Università degli Studi di Firenze, Sesto Fiorentino, Firenze, Italy
| | - Stefano Cavalieri
- Dipartimento di Fisica e Astronomia, Università degli Studi di Firenze, Sesto Fiorentino, Firenze, Italy
| | - Lorenzo Spinelli
- Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle Ricerche, Milan, Italy
| | - Alessandro Torricelli
- Dipartimento di Fisica, Politecnico di Milano, Milan, Italy
- Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle Ricerche, Milan, Italy
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Cortese L, Fernández Esteberena P, Zanoletti M, Lo Presti G, Aranda Velazquez G, Ruiz Janer S, Buttafava M, Renna M, Di Sieno L, Tosi A, Dalla Mora A, Wojtkiewicz S, Dehghani H, de Fraguier S, Nguyen-Dinh A, Rosinski B, Weigel UM, Mesquida J, Squarcia M, Hanzu FA, Contini D, Mora Porta M, Durduran T. In vivocharacterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies. Physiol Meas 2023; 44:125010. [PMID: 38061053 DOI: 10.1088/1361-6579/ad133a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 12/07/2023] [Indexed: 12/28/2023]
Abstract
Objective.In this paper, we present a detailedin vivocharacterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle (SCM), obtained through ultrasound-guided near-infrared time-domain and diffuse correlation spectroscopies.Approach.A total of sixty-five subjects (forty-nine females, sixteen males) among healthy volunteers and thyroid nodule patients have been recruited for the study. Their SCM hemodynamic (oxy-, deoxy- and total hemoglobin concentrations, blood flow, blood oxygen saturation and metabolic rate of oxygen extraction) and optical properties (wavelength dependent absorption and reduced scattering coefficients) have been measured by the use of a novel hybrid device combining in a single unit time-domain near-infrared spectroscopy, diffuse correlation spectroscopy and simultaneous ultrasound imaging.Main results.We provide detailed tables of the results related to SCM baseline (i.e. muscle at rest) properties, and reveal significant differences on the measured parameters due to variables such as side of the neck, sex, age, body mass index, depth and thickness of the muscle, allowing future clinical studies to take into account such dependencies.Significance.The non-invasive monitoring of the hemodynamics and metabolism of the sternocleidomastoid muscle during respiration became a topic of increased interest partially due to the increased use of mechanical ventilation during the COVID-19 pandemic. Near-infrared diffuse optical spectroscopies were proposed as potential practical monitors of increased recruitment of SCM during respiratory distress. They can provide clinically relevant information on the degree of the patient's respiratory effort that is needed to maintain an optimal minute ventilation, with potential clinical application ranging from evaluating chronic pulmonary diseases to more acute settings, such as acute respiratory failure, or to determine the readiness to wean from invasive mechanical ventilation.
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Affiliation(s)
- Lorenzo Cortese
- ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, E-08860 Castelldefels (Barcelona), Spain
| | - Pablo Fernández Esteberena
- ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, E-08860 Castelldefels (Barcelona), Spain
| | - Marta Zanoletti
- ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, E-08860 Castelldefels (Barcelona), Spain
- Politecnico di Milano, Dipartimento di Fisica, I-20133 Milano, Italy
| | - Giuseppe Lo Presti
- ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, E-08860 Castelldefels (Barcelona), Spain
| | | | - Sabina Ruiz Janer
- IDIBAPS, Fundació Clínic per la Recerca Biomèdica, E-08036 Barcelona, Spain
| | - Mauro Buttafava
- Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria, I-20133 Milano, Italy
- Now at PIONIRS s.r.l., I-20124 Milano, Italy
| | - Marco Renna
- Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria, I-20133 Milano, Italy
- Now at Athinoula A. Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA 02129, United States of America
| | - Laura Di Sieno
- Politecnico di Milano, Dipartimento di Fisica, I-20133 Milano, Italy
| | - Alberto Tosi
- Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria, I-20133 Milano, Italy
| | | | - Stanislaw Wojtkiewicz
- University of Birmingham, School of Computer Science, Edgbaston, Birmingham, B15 2TT, United Kingdom
- Now at Nalecz Institute of Biocybernetics and Biomedical Engineering, 02-109 Warsaw, Poland
| | - Hamid Dehghani
- University of Birmingham, School of Computer Science, Edgbaston, Birmingham, B15 2TT, United Kingdom
| | | | | | | | - Udo M Weigel
- HemoPhotonics S.L., E-08860 Castelldefels (Barcelona), Spain
| | - Jaume Mesquida
- Área de Crítics, Parc Taulí Hospital Universitari, E-08208 Sabadell, Spain
| | - Mattia Squarcia
- IDIBAPS, Fundació Clínic per la Recerca Biomèdica, E-08036 Barcelona, Spain
- Neuroradiology Department, Hospital Clínic of Barcelona, E-08036 Barcelona, Spain
| | - Felicia A Hanzu
- IDIBAPS, Fundació Clínic per la Recerca Biomèdica, E-08036 Barcelona, Spain
- Endocrinology and Nutrition Department, Hospital Clínic of Barcelona, E-08036 Barcelona, Spain
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), E-28029 Madrid, Spain
| | - Davide Contini
- Politecnico di Milano, Dipartimento di Fisica, I-20133 Milano, Italy
| | - Mireia Mora Porta
- IDIBAPS, Fundació Clínic per la Recerca Biomèdica, E-08036 Barcelona, Spain
- Endocrinology and Nutrition Department, Hospital Clínic of Barcelona, E-08036 Barcelona, Spain
- Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), E-28029 Madrid, Spain
| | - Turgut Durduran
- ICFO-Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, E-08860 Castelldefels (Barcelona), Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), E-08010 Barcelona, Spain
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Lam WS, Lam WH, Lee PF, Jaaman SH. Biophotonics as a new application in optical technology: A bibliometric analysis. Heliyon 2023; 9:e23011. [PMID: 38076099 PMCID: PMC10703716 DOI: 10.1016/j.heliyon.2023.e23011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 11/23/2023] [Accepted: 11/23/2023] [Indexed: 10/16/2024] Open
Abstract
Biophotonics procures wide practicability in life sciences and medicines. The contribution of biophotonics is well recognized in various Nobel Prizes. Therefore, this paper aims to conduct a bibliometric analysis of biophotonics publications. The scientific database used is the Web of Science database. Harzing's Publish or Perish and VOSviewer are the bibliometric tools used in this analysis. This study found an increasing trend in the number of publications in recent years as the number of publications peaked at 347 publications in 2020. Most of the documents are articles (3361 publications) and proceeding papers (1632 publications). The top three subject areas are Optics (3206 publications), Engineering (1706 publications) and Radiology, Nuclear Medicine, and Medical Imaging (1346 publications). The United States has the highest number of publications (2041 publications) and citation impact (38.07 citations per publication; h-index: 125). The top three publication titles are Proceedings of SPIE (920 publications), Journal of Biomedical Optics (599 publications), and Proceedings of the Society of Photo Optical Instrumentation Engineers SPIE (245 publications). The potential areas for future research include to overcome the optical penetration depth issue and to develop publicly available biosensors for the detection of common diseases.
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Affiliation(s)
- Weng Siew Lam
- Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, 31900, Kampar, Perak, Malaysia
| | - Weng Hoe Lam
- Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, 31900, Kampar, Perak, Malaysia
| | - Pei Fun Lee
- Department of Physical and Mathematical Science, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, 31900, Kampar, Perak, Malaysia
| | - Saiful Hafizah Jaaman
- Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor, Malaysia
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6
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Shao C, Li Z, Zhang C, Zhang W, He R, Xu J, Cai Y. Optical diagnostic imaging and therapy for thyroid cancer. Mater Today Bio 2022; 17:100441. [PMID: 36388462 PMCID: PMC9640994 DOI: 10.1016/j.mtbio.2022.100441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/22/2022] [Accepted: 09/24/2022] [Indexed: 11/30/2022] Open
Abstract
Thyroid cancer, as one of the most common endocrine cancers, has seen a surge in incidence in recent years. This is most likely due to the lack of specificity and accuracy of its traditional diagnostic modalities, leading to the overdiagnosis of thyroid nodules. Although there are several treatment options available, they are limited to surgery and 131I radiation therapy that come with significant side effects and hence cannot meet the treatment needs of anaplastic thyroid carcinoma with very high malignancy. Optical imaging that utilizes optical absorption, refraction and scattering properties, not only observes the structure and function of cells, tissues, organs, or even the whole organism to assist in diagnosis, but can also be used to perform optical therapy to achieve targeted non-invasive and precise treatment of thyroid cancer. These applications of screening, diagnosis, and treatment, lend to optical imaging's promising potential within the realm of thyroid cancer surgical navigation. Over the past decade, research on optical imaging in the diagnosis and treatment of thyroid cancer has been growing year by year, but no comprehensive review on this topic has been published. Here, we review key advances in the application of optical imaging in the diagnosis and treatment of thyroid cancer and discuss the challenges and potential for clinical translation of this technology.
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Key Words
- 131I-BSA@CuS, 131I-labeled BSA-modified CuS nanoparticles
- 5-ALA, 5-Aminolevulinic acid
- ASIR, age-standardized rates of cancer incidence
- ATC, anaplastic thyroid carcinoma
- Au@MSNs, photo-triggered Gold nanodots capped mesoporous silica nanoparticles
- AuNCs@BSA-I, innovative iodinated gold nanoclusters
- BRAF, V-Raf murine sarcoma viral oncogene homolog B
- CBDCA, Carboplatin
- CDFI, color doppler flow imaging ultrasound
- CLND, central compartmentalized node dissection
- CPDA-131I NPs, the 131I-radiolabeled cerebroid polydopamine nano-particles
- CT, Computed Tomography
- DOT, Diffuse Optical Tomography
- DTC, differentiated thyroid cancer
- ECDT, enhanced chemodynamical therapy
- EGF, epidermal growth factor
- EGFR, epidermal growth factor receptor
- ESMO, European Society of Medical Oncology
- FDA, U.S. Food and Drug Administration
- FI, fluorescence imaging
- FNAB, fine-needle aspiration biopsy
- FNAs, fine needle aspirations
- FTC, follicular thyroid carcinoma
- GC, germinal center
- HAOA, Hyaluronic Acid and Oleic Acid
- HYP, hypericin
- ICG, indocyanine green
- IJV, internal jugular vein
- IR825@B-PPNs, Polymeric NPs with bevacizumab and IR825 conjugated on the surface
- L-A PTA, laparoscopic photothermal ablation
- MDR, multidrug resistance
- MTC, medullary thyroid carcinoma
- Multimodal therapy
- NIR, near-infrared
- NIR-FI, near-infrared fluorescence imaging
- NIR-PIT, near-infrared photoimmunotherapy
- NIRF, near-infrared fluorescence
- NMRI, Nuclear Magnetic Resonance Imaging
- OCT, Optical Coherence Tomography
- OI, optical imaging
- OS, overall survival
- Optical imaging
- Optical imaging-guided surgery
- PAI, Photoacoustic Imaging
- PDT, photodynamic therapy
- PET, Positron Emission Tomography
- PGs, parathyroid glands
- PLP, porphyrin-HDL nanoparticle
- PTA, photothermal reagents
- PTC, papillary thyroid carcinoma
- PTT, photothermal therapy
- Pd-MOF, porphyrin–palladium metal–organic framework
- Phototherapy
- RIT, radioactive iodine therapy
- ROS, reactive oxygen species
- SEC, Selenocysteine
- SV, subclavian vein
- SiRNA, interfering RNA
- TC, thyroid cancer
- TD, Thoracic Duct
- TF, tissue factor
- Thyroid cancer
- mETE, microscopic extrathyroidal extension
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Affiliation(s)
- Chengying Shao
- Otolaryngology& Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China
- Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Zhenfang Li
- School of Basic Medical Sciences and Forensic Medicine, Hangzhou Medical College, Hangzhou 310012, China
| | - Chengchi Zhang
- Zhejiang University of Technology, Hangzhou, 310023, China
| | - Wanchen Zhang
- Otolaryngology& Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China
- Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Ru He
- School of Basic Medical Sciences and Forensic Medicine, Hangzhou Medical College, Hangzhou 310012, China
| | - Jiajie Xu
- Otolaryngology& Head and Neck Center, Cancer Center, Department of Head and Neck Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang 310014, China
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou 310014, China
| | - Yu Cai
- Clinical Research Institute, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, China
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Lanka P, Yang L, Orive-Miguel D, Veesa JD, Tagliabue S, Sudakou A, Samaei S, Forcione M, Kovacsova Z, Behera A, Gladytz T, Grosenick D, Hervé L, Durduran T, Bejm K, Morawiec M, Kacprzak M, Sawosz P, Gerega A, Liebert A, Belli A, Tachtsidis I, Lange F, Bale G, Baratelli L, Gioux S, Alexander K, Wolf M, Sekar SKV, Zanoletti M, Pirovano I, Lacerenza M, Qiu L, Ferocino E, Maffeis G, Amendola C, Colombo L, Frabasile L, Levoni P, Buttafava M, Renna M, Di Sieno L, Re R, Farina A, Spinelli L, Dalla Mora A, Contini D, Taroni P, Tosi A, Torricelli A, Dehghani H, Wabnitz H, Pifferi A. Multi-laboratory performance assessment of diffuse optics instruments: the BitMap exercise. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:JBO-210373SSR. [PMID: 35701869 PMCID: PMC9199954 DOI: 10.1117/1.jbo.27.7.074716] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 05/05/2022] [Indexed: 05/06/2023]
Abstract
SIGNIFICANCE Multi-laboratory initiatives are essential in performance assessment and standardization-crucial for bringing biophotonics to mature clinical use-to establish protocols and develop reference tissue phantoms that all will allow universal instrument comparison. AIM The largest multi-laboratory comparison of performance assessment in near-infrared diffuse optics is presented, involving 28 instruments and 12 institutions on a total of eight experiments based on three consolidated protocols (BIP, MEDPHOT, and NEUROPT) as implemented on three kits of tissue phantoms. A total of 20 synthetic indicators were extracted from the dataset, some of them defined here anew. APPROACH The exercise stems from the Innovative Training Network BitMap funded by the European Commission and expanded to include other European laboratories. A large variety of diffuse optics instruments were considered, based on different approaches (time domain/frequency domain/continuous wave), at various stages of maturity and designed for different applications (e.g., oximetry, spectroscopy, and imaging). RESULTS This study highlights a substantial difference in hardware performances (e.g., nine decades in responsivity, four decades in dark count rate, and one decade in temporal resolution). Agreement in the estimates of homogeneous optical properties was within 12% of the median value for half of the systems, with a temporal stability of <5 % over 1 h, and day-to-day reproducibility of <3 % . Other tests encompassed linearity, crosstalk, uncertainty, and detection of optical inhomogeneities. CONCLUSIONS This extensive multi-laboratory exercise provides a detailed assessment of near-infrared Diffuse optical instruments and can be used for reference grading. The dataset-available soon in an open data repository-can be evaluated in multiple ways, for instance, to compare different analysis tools or study the impact of hardware implementations.
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Affiliation(s)
- Pranav Lanka
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
- Address all correspondence to Pranav Lanka, ; Heidrun Wabnitz,
| | - Lin Yang
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | | | - Joshua Deepak Veesa
- University of Birmingham, School of Computer Science, Birmingham, United Kingdom
| | | | - Aleh Sudakou
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Saeed Samaei
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Mario Forcione
- University Hospitals Birmingham, National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Birmingham, United Kingdom
| | - Zuzana Kovacsova
- UCL, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Anurag Behera
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Thomas Gladytz
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Dirk Grosenick
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Lionel Hervé
- Université Grenoble Alpes, CEA, LETI, DTBS, Grenoble, France
| | - Turgut Durduran
- The Institute of Photonic Sciences (ICFO), Castelldefels, Spain
| | - Karolina Bejm
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Magdalena Morawiec
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Michał Kacprzak
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Piotr Sawosz
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Anna Gerega
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Adam Liebert
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland
| | - Antonio Belli
- University Hospitals Birmingham, National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre, Birmingham, United Kingdom
| | - Ilias Tachtsidis
- UCL, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Frédéric Lange
- UCL, Department of Medical Physics & Biomedical Engineering, London, United Kingdom
| | - Gemma Bale
- University of Cambridge, Department of Engineering and Department of Physics, Cambridge, United Kingdom
| | - Luca Baratelli
- University of Strasbourg, ICube Laboratory, Strasbourg, France
| | - Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
| | - Kalyanov Alexander
- University Hospital Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
| | - Martin Wolf
- University Hospital Zurich, Biomedical Optics Research Laboratory, Department of Neonatology, Zurich, Switzerland
| | | | - Marta Zanoletti
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Ileana Pirovano
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | | | - Lina Qiu
- South China Normal University, School of Software, Guangzhou, China
| | | | - Giulia Maffeis
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | | | - Lorenzo Colombo
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | | | - Pietro Levoni
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | | | - Marco Renna
- Istituto di Fotonica e Nanotecnologie, Milano, Italy
| | - Laura Di Sieno
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Rebecca Re
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
- Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy
| | - Andrea Farina
- Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy
| | - Lorenzo Spinelli
- Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy
| | | | - Davide Contini
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Paola Taroni
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
| | - Alberto Tosi
- Istituto di Fotonica e Nanotecnologie, Milano, Italy
| | | | - Hamid Dehghani
- University of Birmingham, School of Computer Science, Birmingham, United Kingdom
| | - Heidrun Wabnitz
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
- Address all correspondence to Pranav Lanka, ; Heidrun Wabnitz,
| | - Antonio Pifferi
- Politecnico di Milano, Dipartimento di Fisica, Milano, Italy
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Buot A, Brownhill K, Lange F. Upper Trapezius Muscle Tonicity, Assessed by Palpation, Relates to Change in Tissue Oxygenation and Structure as Measured by Time-Domain Near Infrared Spectroscopy. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1395:417-421. [PMID: 36527672 DOI: 10.1007/978-3-031-14190-4_68] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Palpation is a diagnostic tool widely used by manual therapists despite its disputed reliability and validity. Previous studies have usually focused on the detection of myofascial trigger points (MTrPs), i.e., the points within muscles thought to have undergone molecular composition, oxygenation and structural changes, altering their tonicity. Time-domain near-infrared spectroscopy (TD-NIRS) could provide new insights into soft tissue oxygenation and structure, in order to objectively assess the validity and reliability of palpation. This pilot study aims at (1) assessing the ability of TD-NIRS to detect a difference between palpably normal and hypertonic upper trapezius (UT) muscles, and (2) to estimate the reproducibility of the TD-NIRS measurement on UT muscles. TD-NIRS measurements were performed on 4 points of the UT muscles in 18 healthy participants (10F, mean age: 27.6 years), after a physical examination by a student osteopath to locate these points and identify the most and least hypertonic. From TD-NIRS, the most hypertonic points had a higher concentration in deoxy- ([HHb]) (0.887 ± 0.253 μM, p < 0.001) and total haemoglobin ([HbT]) (1.447 ± 0.772 μM, p < 0.001), a lower tissue oxygen saturation (StO2) (-0.575 ± 0.286%, p < 0.001), and a greater scattering amplitude factor (AF) (0.2238 ± 0.1343 cm-1, p = 0.001) than the least hypertonic points. Moreover, the intraclass correlation coefficient one-way random-effects model (ICC (1,1)) calculated for each TD-NIRS parameter and for each point revealed an excellent reliability of the measurement (Mean ± SD, 0.9253 ± 0.0678). These initial results, showing that changes in TD-NIRS parameters correlate with changes in muscle tonicity as assessed by palpation, are encouraging and show that TD-NIRS could help to further assess the validity of palpation as a diagnostic tool in manual therapy.
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