scholarly journals A paintable phosphorescent bandage for postoperative tissue oxygen assessment in DIEP flap reconstruction

2020 ◽  
Vol 6 (51) ◽  
pp. eabd1061
Author(s):  
Haley Marks ◽  
Alexandra Bucknor ◽  
Emmanuel Roussakis ◽  
Nicholas Nowell ◽  
Parisa Kamali ◽  
...  
Keyword(s):  
Near Infrared ◽  
Oxygen Sensing ◽  
Standard Of Care ◽  
Strong Relationship ◽  
Diep Flap ◽  
Tissue Oxygen ◽  
Blood Oxygen Saturation ◽  
Sensing Applications ◽  
Single Lens ◽  
Tissue Defects

Flaps are common in plastic surgery to reconstruct large tissue defects in cases such as trauma or cancer. However, most tissue oximeters used for monitoring ischemia in postoperative flaps are bulky, wired devices, which hinder direct flap observation. Here, we present the results of a clinical trial using a previously untried paintable transparent phosphorescent bandage to assess the tissue’s partial pressure of oxygen (pO2). Statistical analysis revealed a strong relationship (P < 0.0001) between the rates of change of tissue oxygenation measured by the bandage and blood oxygen saturation (%stO2) readings from a standard-of-care ViOptix near-infrared spectroscopy oximeter. In addition, the oxygen-sensing bandage showed no adverse effects, proved easy handling, and yielded bright images across all skin tones with a digital single-lens reflex (DSLR) camera. This demonstrates the feasibility of using phosphorescent materials to monitor flaps postoperatively and lays the groundwork for future exploration in other tissue oxygen sensing applications.

scholarly journals Persons with type 1 diabetes have low blood oxygen levels in the supine and standing body positions

2021 ◽  
Vol 9 (1) ◽  
pp. e001944
Author(s):  
Jens Christian Laursen ◽  
Kim Katrine Bjerring Clemmensen ◽  
Christian Stevns Hansen ◽  
Lars Jorge Diaz ◽  
Marco Bordino ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Oxygen Saturation ◽  
Near Infrared ◽  
Body Position ◽  
Blood Oxygen ◽  
Tissue Oxygen ◽  
Blood Oxygen Saturation ◽  
Oxygen Levels ◽  
Standing Up

IntroductionBlood oxygen saturation is low compared with healthy controls (CONs) in the supine body position in individuals with type 1 diabetes (T1D) and has been associated with complications. Since most of daily life occurs in the upright position, it is of interest if this also applies in the standing body position. In addition, tissue oxygenation in other anatomical sites could show different patterns in T1D. Therefore, we investigated blood, arm and forehead oxygen levels in the supine and standing body positions in individuals with T1D (n=129) and CONs (n=55).Research design and methodsBlood oxygen saturation was measured with pulse oximetry. Arm and forehead mixed tissue oxygen levels were measured with near-infrared spectroscopy sensors applied on the skin.ResultsData are presented as least squares means±SEM and differences (95% CIs). Overall blood oxygen saturation was lower in T1D (CON: 97.6%±0.2%; T1D: 97.0%±0.1%; difference: −0.5% (95% CI −0.9% to −0.0%); p=0.034). In all participants, blood oxygen saturation increased after standing up (supine: 97.1%±0.1%; standing: 97.6%±0.2%; difference: +0.6% (95% CI 0.4% to 0.8%); p<0.001). However, the increase was smaller in T1D compared with CON (CON supine: 97.3%±0.2%; CON standing: 98.0%±0.2%; T1D supine: 96.9%±0.2%; T1D standing: 97.2%±0.1%; difference between groups in the change: −0.4% (95% CI −0.6% to −0.2%); p<0.001). Arm oxygen saturation decreased in both groups after standing and more in those with T1D. Forehead oxygen saturation decreased in both groups after standing and there were no differences between the changes when comparing the groups.ConclusionCompared with CON, individuals with T1D exhibit possible detrimental patterns of tissue oxygen adaptation to standing, with preserved adaptation of forehead oxygenation. Further studies are needed to explore the consequences of these differences.

scholarly journals Exploring personalized postoperative non-invasive tissue oximetry in DIEP flap breast reconstruction

2021 ◽  
Author(s):  
Anouk A. M. A. Lindelauf ◽  
Nousjka P. A. Vranken ◽  
Rutger M. Schols ◽  
Esther A. C. Bouman ◽  
Patrick W. Weerwind ◽  
...  
Keyword(s):  
Early Detection ◽  
Breast Reconstruction ◽  
Near Infrared ◽  
Diep Flap ◽  
Baseline Measurement ◽  
Flap Surgery ◽  
Level Of Evidence ◽  
Non Invasive ◽  
Vascular Compromise ◽  
Tissue Oximetry

Abstract Early detection of vascular compromise after autologous breast reconstruction is crucial to enable timely re-exploration for flap salvage. Several studies proposed non-invasive tissue oximetry for early identification of ischemia of deep inferior epigastric perforator (DIEP) flaps. The present study aimed to explore the utility of non-invasive tissue oximetry following DIEP flap surgery using a personalized oxygenation threshold. Methods Patients undergoing immediate/delayed DIEP flap surgery were included in this prospective observational study. DIEP flap tissue oxygenation (StO2) was monitored continuously using near-infrared spectroscopy. A baseline measurement was performed by positioning one sensor at the marked position of the major inferior epigastric perforator on the abdomen. A new sensor was positioned postoperatively on the transplanted tissue. In unilateral procedures, postoperative StO2 values of the native breast were also obtained. Measurements were continued for 24 h. Results Thirty patients (42 flaps) were included. Fourteen patients (46.7%) had an uncomplicated postoperative course. A minor complication was observed in thirteen patients; in five patients, at least one major complication occurred, requiring re-exploration. Median StO2 readings were significantly lower in patients with major complications compared to uncomplicated cases. In fourteen unilateral DIEP flap procedures, StO2 values of the native breast were similar to the preoperative baseline measurement (92%; p = 0.452). Conclusions Non-invasive tissue oximetry following DIEP flap surgery could aid in early detection of vascular compromise. StO2 values of the native breast and abdominal wall preoperatively can be used interchangeably and can serve as personalized reference value. Level of evidence: Level IV, diagnostic / prognostic study.

scholarly journals Proxy Measures and Novel Strategies for Estimating Nitrogen Utilisation Efficiency in Dairy Cattle

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 343
Author(s):  
Anna Lavery ◽  
Conrad Ferris
Keyword(s):  
Near Infrared ◽  
Isotope Analysis ◽  
Strong Relationship ◽  
Nitrogen Isotope ◽  
Invasive Technique ◽  
Infrared Analysis ◽  
Resonance Spectroscopy ◽  
Dietary Nitrogen ◽  
Nitrogen Utilisation ◽  
Utilisation Efficiency

The efficiency with which dairy cows convert dietary nitrogen (N) to milk N is generally low (typically 25%). As a result, much of the N consumed is excreted in manure, from which N can be lost to the environment. Therefore there is increasing pressure to reduce N excretion and improve N use efficiency (NUE) on dairy farms. However, assessing N excretion and NUE on farms is difficult, thus the need to develop proximate measures that can provide accurate estimates of nitrogen utilisation. This review examines a number of these proximate measures. While a strong relationship exists between blood urea N and urinary N excretion, blood sampling is an invasive technique unsuitable for regular herd monitoring. Milk urea N (MUN) can be measured non-invasively, and while strong relationships exist between dietary crude protein and MUN, and MUN and urinary N excretion, the technique has limitations. Direct prediction of NUE using mid-infrared analysis of milk has real potential, while techniques such as near-infrared spectroscopy analysis of faeces and manure have received little attention. Similarly, techniques such as nitrogen isotope analysis, nuclear magnetic resonance spectroscopy of urine, and breath ammonia analysis may all offer potential in the future, but much research is still required.

scholarly journals Near-infrared spectroscopy monitoring tissue oxygen saturation after cardiac surgery

Critical Care ◽  
2009 ◽  
Vol 13 (Suppl 1) ◽  
pp. P239
Author(s):  
R Kopp ◽  
S Rex ◽  
K Dommann ◽  
G Schälte ◽  
G Dohmen ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Infrared Spectroscopy ◽  
Oxygen Saturation ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Tissue Oxygen Saturation ◽  
Tissue Oxygen

scholarly journals Mode Sensitivity Exploration of Silica–Titania Waveguide for Refractive Index Sensing Applications

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7452
Author(s):  
Muhammad A. Butt ◽  
Andrzej Kaźmierczak ◽  
Cuma Tyszkiewicz ◽  
Paweł Karasiński ◽  
Ryszard Piramidowicz
Keyword(s):  
Refractive Index ◽  
High Performance ◽  
Near Infrared ◽  
Sol Gel ◽  
Cost Effective ◽  
Dip Coating ◽  
Infrared Wavelength ◽  
Refractive Index Sensing ◽  
Sensing Applications ◽  
Coating Method

In this paper, a novel and cost-effective photonic platform based on silica–titania material is discussed. The silica–titania thin films were grown utilizing the sol–gel dip-coating method and characterized with the help of the prism-insertion technique. Afterwards, the mode sensitivity analysis of the silica–titania ridge waveguide is investigated via the finite element method. Silica–titania waveguide systems are highly attractive due to their ease of development, low fabrication cost, low propagation losses and operation in both visible and near-infrared wavelength ranges. Finally, a ring resonator (RR) sensor device was modelled for refractive index sensing applications, offering a sensitivity of 230 nm/RIU, a figure of merit (FOM) of 418.2 RIU−1, and Q-factor of 2247.5 at the improved geometric parameters. We believe that the abovementioned integrated photonics platform is highly suitable for high-performance and economically reasonable optical sensing devices.

scholarly journals Deep learning para la clasificación de usos de suelo agrícola con Sentinel-2

2020 ◽  
pp. 35
Author(s):  
M. Campos-Taberner ◽  
F.J. García-Haro ◽  
B. Martínez ◽  
M.A. Gilabert
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
Near Infrared ◽  
Spatial Information ◽  
Learning Algorithm ◽  
Support Vector ◽  
Sensing Applications ◽  
Learning Techniques ◽  
Remote Sensing Applications ◽  
Sentinel 2

<p class="p1">The use of deep learning techniques for remote sensing applications has recently increased. These algorithms have proven to be successful in estimation of parameters and classification of images. However, little effort has been made to make them understandable, leading to their implementation as “black boxes”. This work aims to evaluate the performance and clarify the operation of a deep learning algorithm, based on a bi-directional recurrent network of long short-term memory (2-BiLSTM). The land use classification in the Valencian Community based on Sentinel-2 image time series in the framework of the common agricultural policy (CAP) is used as an example. It is verified that the accuracy of the deep learning techniques is superior (98.6 % overall success) to that other algorithms such as decision trees (DT), k-nearest neighbors (k-NN), neural networks (NN), support vector machines (SVM) and random forests (RF). The performance of the classifier has been studied as a function of time and of the predictors used. It is concluded that, in the study area, the most relevant information used by the network in the classification are the images corresponding to summer and the spectral and spatial information derived from the red and near infrared bands. These results open the door to new studies in the field of the explainable deep learning in remote sensing applications.</p>

scholarly journals Near-Infrared Spectroscopy in Extremely Preterm Infants

2021 ◽  
Vol 8 ◽  
Author(s):  
Leeann R. Pavlek ◽  
Clifford Mueller ◽  
Maria R. Jebbia ◽  
Matthew J. Kielt ◽  
Omid Fathi
Keyword(s):  
Infrared Spectroscopy ◽  
Preterm Infants ◽  
Near Infrared Spectroscopy ◽  
Neonatal Intensive Care ◽  
Near Infrared ◽  
Tissue Oxygen Saturation ◽  
Tissue Oxygen ◽  
Extremely Preterm ◽  
Extremely Preterm Infants ◽  
Potential Applications

With advances in neonatal care, survival of premature infants at the limits of viability has improved significantly. Despite these improvement in mortality, infants born at 22–24 weeks gestation are at a very high risk for short- and long-term morbidities associated with prematurity. Many of these diseases have been attributed to abnormalities of tissue oxygenation and perfusion. Near-infrared spectroscopy utilizes the unique absorption properties of oxyhemoglobin and deoxyhemoglobin to provide an assessment of regional tissue oxygen saturation, which can be used to calculate the fractional tissue oxygen extraction. This allows for a non-invasive way to monitor tissue oxygen consumption and enables targeted hemodynamic management. This mini-review provides a brief and complete overview of the background and physiology of near-infrared spectroscopy, practical use in extremely preterm infants, and potential applications in the neonatal intensive care unit. In this mini-review, we aim to summarize the three primary application sites for near-infrared spectroscopy, disease-specific indications, and available literature regarding use in extremely preterm infants.

TADF quenching properties of phenothiazine or phenoxazine-substituted benzanthrones emitting in deep-red/near-infrared region towards oxygen sensing

2021 ◽  
pp. 109952
Author(s):  
Uliana Tsiko ◽  
Oleksandr Bezvikonnyi ◽  
Dmytro Volyniuk ◽  
Boris F. Minaev ◽  
Jonas Keruckas ◽  
...  
Keyword(s):  
Near Infrared ◽  
Oxygen Sensing ◽  
Infrared Region ◽  
Near Infrared Region

scholarly journals Polymer-Based Microring Resonator with the Multimode Interference Coupler Operating at Very-Near-Infrared Wavelengths

2019 ◽  
Vol 9 (13) ◽  
pp. 2715 ◽  
Author(s):  
Huanlin Lv ◽  
Yuxin Liang ◽  
Zhenlin Wu ◽  
Xiuyou Han ◽  
Geert Morthier ◽  
...  
Keyword(s):  
Near Infrared ◽  
High Potential ◽  
Microring Resonator ◽  
Multimode Interference ◽  
Q Factor ◽  
Fluorinated Polymer ◽  
Sensing Applications ◽  
Soft Mold ◽  
Multimode Interference Coupler ◽  
Infrared Wavelengths

A microring resonator with the multimode interference coupler is fabricated on the polymer platform by using UV-based soft nanoimprint technique. A unique class of fluorinated polymer, perfluoropolyether (PFPE), is employed for the fabrication of the flexible soft mold. By optimizing the proportion between Ormocore and the thinner maT, the microring resonator is fabricated almost without residual layer. The fabricated device with a Q-factor up to 2.3 × 104 is demonstrated for very-near-infrared wavelengths, which shows high potential for sensing applications.

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