Speckle Imaging Research Articles

Image restoration through few-mode fiber using a new comprehensive attention model

Few-mode fibers (FMF) has unique advantages in single fiber imaging (SFI) in special applications. However, the limited number of transmission modes restricts the information carriers, hence the high-quality image restoration is a major challenge. A deep learning network with new comprehensive attention, called few-mode fiber Swin Transformer (FFST), is developed based on Swin Transformer V2 to realize successful image restoration with a FMF on handwriting letters and numbers. This network is proved outperforming nine widely used convolutional neural networks or Transformer-based models with four evaluation criteria. In addition, single-fiber-multi-location (SFML) experiment is conducted to investigate the effect of different view on imaging feasibility, the result of which shows that SFML can improve the restoration quality despite one object corresponds to multiple different speckle images, indicating that multi-mapping relationships has constructive effect in single FMF imaging. This paper provides a method for imaging in very narrow cavities.

GMDIC: a digital image correlation measurement method based on global matching for large deformation displacement fields

The digital image correlation method is a non-contact optical measurement method, which has the advantages of full-field measurement, simple operation, and high measurement accuracy. The traditional DIC method can accurately measure displacement and strain fields, but there are still many limitations. (i) In the measurement of large displacement deformations, the calculation accuracy of the displacement field and strain field needs to be improved due to the unreasonable setting of parameters such as subset size and step size. (ii) It is difficult to avoid under-matching or over-matching when reconstructing smooth displacement or strain fields. (iii) When processing large-scale image data, the computational complexity will be very high, resulting in slow processing speeds. In recent years, deep-learning-based DIC has shown promising capabilities in addressing the aforementioned issues. We propose a new, to the best of our knowledge, DIC method based on deep learning, which is designed for measuring displacement fields of speckle images in complex large deformations. The network combines the multi-head attention Swin-Transformer and the high-efficient channel attention module ECA and adds positional information to the features to enhance feature representation capabilities. To train the model, we constructed a displacement field dataset that conformed to the real situation and contained various types of speckle images and complex deformations. The measurement results indicate that our model achieves consistent displacement prediction accuracy with traditional DIC methods in practical experiments. Moreover, our model outperforms traditional DIC methods in cases of large displacement scenarios.

Feature comparison from laser speckle imaging as a novel tool for identifying infections in tomato leaves

In the present work we propose the use of laser speckle imaging as non-invasive and marker-free qualitative technique that highlights significant differences between healthy and diseased leaves through image analysis. We observed distinct visual variations, indicating the detectable impact of viral infection on leaf structure. Additionally, leaves tend to homogenize visually over time due to degradation, as evidenced by decreased measured feature vector distances after a week. Statistical analyses, including MANOVA and ANOVA, underscored the significance of parameters like contrast, energy, and variance in distinguishing leaf health states. These findings emphasize the potential of laser speckle imaging for plant health monitoring. Furthermore, our results validate the utility of Apple's Vision library, specifically the VNGenerateImageFeaturePrintRequest() function, as a powerful tool for plant disease diagnosis and health tracking.

Statistical assessment of the inner shape of a channel based on laser speckle contrast imaging

In this work, we employed laser speckle contrast imaging coupled with the analysis of several statistical moments on the recorded images to recognize the shape of an object through the analysis of the pattern of a flow around it. We postulated that a flow through different geometries would generate a unique flow structure and thus the mathematical analysis of the differences can be utilized to detect and recognize various shape geometries. To this aim, the flow of scattered liquid that had passed through objects of different shapes was illuminated by a laser beam and the diffused speckle image was recorded by a camera. In the computer, the captured speckle image was first converted to a flow image and then mathematically analyzed to recognize the shape of the objects. Three out of the eight statistical metrics were found to be the best candidates for the recognition of shapes, thus proving our hypothesis.

Von Willebrand factor targeted thrombolysis in canine basilar artery occlusion.

Posterior circulation strokes, accounting for 20% of acute ischemic strokes, significantly contribute to morbidity and mortality. Fibrinolysis by rtPA improves outcomes in stroke but the risk of intracranial hemorrhage limits benefit. Arterial recanalization of basilar artery occlusion by thrombolysis or endovascular thrombectomy improves outcomes in posterior circulation strokes. This study investigates a VWF-targeting RNA aptamer as a safer and more effective alternative to rtPA in a canine model. Autologous clots were placed into the basilar artery to induce stroke in 24 beagles. To compare reperfusion, 0.9 mg/kg rtPA, 0.5 mg/kg BB-031, or vehicle were administered 60 min after the initiation of occlusion. Digital subtraction angiography, laser speckle imaging and magnetic resonance imaging were used to assess recanalization, reperfusion and infarct volume, respectively. Treatment with BB-031 resulted in recanalization of the posterior circulation on digital subtraction angiography with no evidence of microembolism assessed at sacrifice. 66.5% of animals treated with BB-031 resulted in reperfusion with a TICI score of ≥1 whereas vehicle remained at TICI score 0 as did all but one rtPA animal at sacrifice. Improved perfusion was seen in the basilar artery and surrounding blood vessels visualized through the cranial window with laser speckle imaging to ~47% of its original baseline in BB-031 group compared to rtPA at 37% and vehicle at 22%. Finally, BB-031-treatment resulted in an approximate 32% mean infarct volume, significantly smaller on magnetic resonance imaging compared to 56% in vehicle treated and 48% with rtPA treatment. Targeted inhibition of VWF by BB-031 increased recanalization and reperfusion, and reduced infarct volume in a canine model of BAO stroke. It represents a promising target based on preliminary results for treating acute ischemic stroke.

α1C S1928 Phosphorylation of CaV1.2 Channel Controls Vascular Reactivity and Blood Pressure.

Increased vascular CaV1.2 channel function causes enhanced arterial tone during hypertension. This is mediated by elevations in angiotensin II/protein kinase C signaling. Yet, the mechanisms underlying these changes are unclear. We hypothesize that α1C phosphorylation at serine 1928 (S1928) is a key event mediating increased CaV1.2 channel function and vascular reactivity during angiotensin II signaling and hypertension. The hypothesis was examined in freshly isolated mesenteric arteries and arterial myocytes from control and angiotensin II-infused mice. Specific techniques include superresolution imaging, proximity ligation assay, patch-clamp electrophysiology, Ca2+ imaging, pressure myography, laser speckle imaging, and blood pressure telemetry. Hierarchical "nested" and appropriate parametric or nonparametric t test and ANOVAs were used to assess statistical differences. We found that angiotensin II redistributed the CaV1.2 pore-forming α1C subunit into larger clusters. This was correlated with elevated CaV1.2 channel activity and cooperativity, global intracellular Ca2+ and contraction of arterial myocytes, enhanced myogenic tone, and altered blood flow in wild-type mice. These angiotensin II-induced changes were prevented/ameliorated in cells/arteries from S1928 mutated to alanine knockin mice, which contain a negative modulation of the α1C S1928 phosphorylation site. In angiotensin II-induced hypertension, increased α1C clustering, CaV1.2 activity and cooperativity, myogenic tone, and blood pressure in wild-type cells/tissue/mice were averted/reduced in S1928 mutated to alanine samples. Results suggest an essential role for α1C S1928 phosphorylation in regulating channel distribution, activity and gating modality, and vascular function during angiotensin II signaling and hypertension. Phosphorylation of this single vascular α1C amino acid could be a risk factor for hypertension that may be targeted for therapeutic intervention.

Reduction of speckle effect using galvanometer scanners in a laser-based uniform source for radiance responsivity measurement

Narrow linewidth lasers play an important role in high-spectral and high-precision radiometric calibration. In this paper, a standard uniform light source for radiometric calibration of imaging detectors and devices is designed and realized based on narrow linewidth laser and intergrating sphere. Because the speckle effect caused by laser has a great influence on the radiance transfer, galvanometer scanners were employed to reduce the speckle effect. CCD method was used to measure the nonuniformity of the middle row/column of the integrating sphere exit, and nonuniformity reduced from 2.6 % to 0.72 % when the galvanometer scanners were turned on. By superimposing 9 different regions of static speckle image, the non-uniformity is greatly reduced, which is consistent with the experimental results. The output radiance stability of the source is measured with an improvement from 8.4 × 10-5 to 2.7 × 10-5. Finally, the nonuniformity of the source is measured to be 0.15 % by a spot luminance meter.

Assessing Left Atrial Appendage Functions by Transesophageal Echocardiography and Speckle Tracking Imaging to Predict Recurring Atrial Fibrillation Post-Radiofrequency Catheter Ablation.

To predict recurring atrial fibrillation (AF) following radiofrequency catheter ablation by assessing the attributes of the left atrium and the left atrial (LA) appendage (LAA) using transesophageal echocardiography (TEE) and speckle tracking imaging. The structural and functional indices of the LA and LAA of 80 patients with AF who underwent preoperative transthoracic echocardiography and TEE were measured. Recurrence was recorded postoperatively at 3, 6, and 12 months. The independent determinants of recurring AF were identified by logistic regression, and their optimum cutoff values, sensitivity, and specificity were estimated from the receiver operating characteristic (ROC) curves. The recurrent and nonrecurrent groups comprised 17 and 63 patients, respectively. The LA internal diameter, LA end-diastolic and end-systolic volumes, LAA length, diameter and area of the opening of the LAA, and LAA end-diastolic volume were higher in the recurrent group. The LA strain in the reservoir phase, the ejection fraction and filling velocity of the LAA, the LAA emptying velocity (LAAeV), and the LAA strain (LAAS) reduced considerably. Multifactorial regression analyses demonstrated that the LAAeV and LAAS were independent determinants of recurring AF. ROC curve analysis revealed that the LAAeV and LAAS predicted postoperative recurrence at 34.5cm/s (area under the curve [AUC]: 0.954, sensitivity: 94.1%, and specificity: 92.1%) and 11.61% (AUC: 0.925, sensitivity: 82.4%, and specificity: 95.2%), respectively, while the AUC, sensitivity, and specificity of the combined predictors (LAAeV+LAAS) were 0.978, 94.1%, and 93.7%, respectively. The LAAeV and LAAS independently influenced the postoperative recurrence of AF.

Assessment of Left Ventricular Functional Impairment in Patients With Chronic Kidney Disease Using Three-Dimensional Speckle Tracking Imaging.

Chronic kidney disease (CKD) is strongly linked to the incidence and mortality of cardiovascular diseases (CVDs), with left ventricular myocardial damage being the most prevalent. This study aimed to assess left ventricle (LV) dysfunction using three-dimensional speckle tracking imaging (3D-STI) in CKD patients. A total of 110 CKD patients and 55 healthy volunteers underwent echocardiography. CKD patients were divided into CKD1 group and CKD2 group based on the estimated glomerular filtration rate (eGFR). Assessing cardiac function via two-dimensional speckle tracking echocardiography (2D-STE) and three-dimensional speckle tracking echocardiography (3D-STE) parameters, with strain presented in absolute terms. Collecting and comparing clinical and echocardiographic parameters from three groups, assessing 3D-STI's value in evaluating LV functional impairment in CKD patients via correlation and receiver operating characteristic (ROC) curve analyses, and identifying risk factors for CKD progression to end-stage renal disease (ESRD) through univariate and multivariate analyses. In CKD2 group, 2D-left ventricular ejection fraction (LVEF), 3D-LVEF, 2D left ventricular global longitudinal strain (2D-LVGLS), 3D-LVGLS, and 3D-left ventricular global circumferential peak strain (LVGCS) significantly worsen compared to the control and CKD1 groups, with statistically significant distinctions between the latter two (all p < 0.05). The absolute value of 3D-LVGLS shows a robust correlation with N-terminal pro-B-type natriuretic peptide (NT-proBNP) and serum creatinine (Scr) (r = -0.598, -0.649, both p < 0.001). ROC curve analysis indicates higher diagnostic efficacy of 3D-LVGLS and 3D-LVGCS for LV systolic function than 2D-LVGLS. Univariate and multivariate analyses reveal an independent association of 3D-LVGLS with the progression to ESRD in CKD. 3D-LVGLS and 3D-LVGCS effectively detect LV dysfunction in CKD patients. Specifically, 3D-LVGLS demonstrates a robust correlation with NT-proBNP and Scr and is independently linked to CKD progressing to ESRD.

Design and Validation of a Preclinical Model for Oral Commissure and Lower Eyelid Thermal Injury

IntroductionOral commissure stenosis and lower eyelid ectropion from burns are functionally impairing and challenging to treat. Evaluation of various treatment modalities is limited by a lack of preclinical models. Described is a method for inducing controlled, titratable oral commissure and lower eyelid burns in swine for future treatment research. MethodsBurn wounds 3cm in diameter were applied to the lower eyelid and oral commissure of seven anesthetized Yorkshire swine for 10, 15, 20, or 30seconds at 100°C with a custom designed thermocouple-controlled burn device and observed for 3, 30, or 90 days. Tissue underwent laser speckle imaging (LSI) to assess vascular perfusion and histologic analysis after harvest. Statistical comparisons were calculated using Wilcoxon rank-sum tests. ResultsSubdermal extension was noted in oral commissure and lower eyelid burns with contact time of 20seconds or greater. Wound area progressively contracted from post-operative day (POD) 0 to 90 in both sites, but was not statistically significant based on contact time or burn site (p>0.20). Burns of 20-30seconds demonstrated increased neutrophil influx for oral commissure injuries (p<0.01) and leukocyte and macrophage influx for lower eyelid injuries (p=0.02). Degree of vascular congestion increased with 20-30second burns in both the oral commissure (p=0.015) and lower eyelid (p=0.04). Normalized LSI readings showed increased speckle size in both oral commissure (4.0-fold increase, p<0.01) and lower eyelid (3.2-fold increase, p<0.01) burns on POD 90 compared to pre-injury. No change in oral or ocular function was noted in any of the groups (p = 0.96). ConclusionOral commissure and lower eyelid burns create scars which may be modified by burn duration. This model may evaluate a therapeutic’s ability to limit functional impairment from burns.

Liquid crystal gel-based acetone sensor using correlated laser speckles

Acetone, a common volatile organic compound (VOC), poses health risks even at low concentrations. Current acetone sensors are costly and require specialized equipment and expertise. This work develops a novel vapor sensor for determining acetone vapor concentration using the speckle patterns generated by liquid crystal gels (LCGs). The vapor sensor comprises a LCG film prepared by the phase separation of a mixture containing polystyrene microspheres and liquid crystals (LCs). The orientation of the LC molecules changes when the LCG film is exposed to an acetone vapor environment, altering the equivalent refractive indices of the LC domains. This leads to a change in the scattering state of the LCG film under laser illumination, forming different speckle patterns. The concentration of acetone vapor is determined by calculating the correlation coefficient of the speckle images, where the sensitivity and limit of detection of the sensor are 4×10-4 ppm-1 and 754.05 ppm, respectively. The developed correlated laser speckle-based optical system is simpler, less expensive, and more stable than traditional LC film vapor sensors. This acetone gas sensor has potential applications in industrial and indoor air quality testing.

A novel application of laser speckle imaging technique for prediction of hypoxic stress of apples

BackgroundFruit storage methods such as dynamic controlled atmosphere (DCA) technology enable adjusting the level of oxygen in the storage room, according to the physiological state of the product to slow down the ripening process. However, the successful application of DCA requires precise and reliable sensors of the oxidative stress of the fruit. In this study, respiration rate and chlorophyll fluorescence (CF) signals were evaluated after introducing a novel predictors of apples' hypoxic stress based on laser speckle imaging technique (LSI).ResultsBoth chlorophyll fluorescence and LSI signals were equally good for stress detection in principle. However, in an application with automatic detection based on machine learning models, the LSI signal proved to be superior, due to its stability and measurement repeatability. Moreover, the shortcomings of the CF signal appear to be its inability to indicate oxygen stress in tissues with low chlorophyll content but this does not apply to LSI. A comparison of different LSI signal processing methods showed that method based on the dynamics of changes in image content was better indicators of stress than methods based on measurements of changes in pixel brightness (inertia moment or laser speckle contrast analysis). Data obtained using the near-infrared laser provided better prediction capabilities, compared to the laser with red light.ConclusionsThe study showed that the signal from the scattered laser light phenomenon is a good predictor for the oxidative stress of apples. Results showed that effective prediction using LSI was possible and did not require additional signals. The proposed method has great potential as an alternative indicator of fruit oxidative stress, which can be applied in modern storage systems with a dynamically controlled atmosphere.

PDE5 inhibitor potentially improves polyuria and bladder storage and voiding dysfunctions in type 2 diabetic rats.

Bladder dysfunction associated with type 2 diabetes mellitus (T2DM) includes urine storage and voiding disorders. We examined pathological conditions of the bladder wall in a rat T2DM model and evaluated the effects of the phosphodiesterase-5 (PDE-5) inhibitor tadalafil. Male Otsuka Long-Evans Tokushima Fatty (OLETF) rats and Long-Evans Tokushima Otsuka (LETO) rats were used as the T2DM and control groups, respectively. Tadalafil was orally administered for 12 weeks. Micturition behavior was monitored using metabolic cages, and bladder function was evaluated by cystometry. Bladder blood flow was evaluated by laser speckle imaging, and an organ bath bladder distention test was used to measure adenosine triphosphate (ATP) release from the bladder urothelium. The expression levels of vesicular nucleotide transporter (VNUT), hypoxia markers, pro-inflammatory cytokines and growth factors in the bladder wall were measured using real-time polymerase chain reaction and enzyme-linked immunosorbent assay. Bladder wall contractions in response to KCl and carbachol were monitored using bladder-strip tests. With aging, OLETF rats had higher micturition frequency and greater urine volume than LETO rats. Although bladder capacity was not significantly different, non-voiding bladder contraction occurred more frequently in OLETF rats than in LETO rats. Bladder blood flow was decreased and ATP release was increased with higher VNUT expression in OLETF rats than in LETO rats. These effects were suppressed by tadalafil administration, with accompanying decreased HIF-1α, 8-OHdG, IL-6, TNF-α, IGF-1, and bFGF expression. The impaired contractile responses of bladder strips to KCl and carbachol in OLETF rats with aging were restored by tadalafil administration. The T2DM rats had polyuria, increased ATP release induced by decreased bladder blood flow and impaired contractile function. PDE5 inhibition improved these changes and may prevent T2DM-associated urinary frequency and bladder storage and voiding dysfunctions.

Wavelet Transform and Thresholding Techniques in Medical Ultrasound Image Speckle Reduction

Wavelet Transform and Thresholding Techniques in Medical Ultrasound Image Speckle Reduction

Multi-line laser scanning reconstruction with binocularly speckle matching and trained deep neural networks

A multi-line laser scanning system for 3D topography measurement is proposed. This method not only has the advantages of high precision of laser scanning technology, but also has high reconstruction efficiency. In this paper, speckle reconstruction technique, multi-line laser technique and Biocular reconstruction technique are used to construct a 3D reconstruction system, and test equipment is built, and the problems existing in the system establishment process are actually studied. In order to solve the problem of mismatching in binocular multi-line laser matching, a method to sort out the correspondence of multiple laser lines in binocular images based on speckle matching results is proposed. In order to optimize the multi-line laser matching effect, a speckle matching network based on deep learning is proposed, which integrates the grayscale images of the left and right cameras as supplementary information, and takes the speckle image and grayscale image as the input of the network model to obtain more accurate and edge-complete matching results. Finally, the matching results of the multi-line laser and the camera calibration parameters were used to reconstruct the object point cloud. Experimental results show that the proposed speckle matching method can make binocular multiline laser point cloud reconstruction more robust and stable than the traditional method, and through the accuracy analysis of the system, it is proved that the average measurement accuracy of the proposed method can reach 0.05 mm.

Endothelium Piezo1 deletion alleviates experimental varicose veins by attenuating perivenous inflammation.

Previous large-scale genetic studies have prioritized the causal genes piezo type mechanosensitive ion channel component 1 (PIEZO1) and castor zinc finger 1 (CASZ1) associated with varicose veins (VVs). This study aims to evaluate their roles in both clinical and experimental VVs. In this study, we investigated abundance of PIEZO1 and CASZ1 in both varicose and normal veins from the same patients. Yoda1 (a selective PIEZO1 agonist, 2.6mg/kg/day) or vehicle was administered intraperitoneally for 3weeks to evaluate the effect of PIEZO1 activation on experimental VVs. Subsequently, endothelial Piezo1 deletion mice (Piezo1iΔEC mice) were generated to explored the role of endothelial PIEZO1 on VVs. Laser speckle imaging, flow cytometry, cell tracing with Evans blue or rhodamine-6G, and histopathological staining were utilized to evaluate the pathophysiology of VVs. Our results showed that mRNA expression of PIEZO1, but not CASZ1, was abundant and increased in clinical VVs. The Piezo1tP1-td mice revealed endothelium-specific expression of PIEZO1 in mice veins. By establishing iliac vein ligation-induced VVs in mice, Yoda1 exacerbated experimental VVs with increased inflammatory cell infiltration. Subsequently, endothelial Piezo1 deletion (Piezo1iΔEC mice) alleviated experimental VVs and vascular remodeling by directly reducing vascular permeability and leukocyte-endothelium interactions compared to the control (Piezo1fl/fl mice). PIEZO1 is highly expressed in clinical VVs, meanwhile, activation or inhibition of PIEZO1 exerts a remarkable effect on experimental VVs. Furthermore, Piezo1 may constitute a potential therapeutic approach for the medical treatment of VVs.

Ex-Vivo Human-Sized Organ Machine Perfusion: A Systematic Review on the Added Value of Medical Imaging for Organ Condition Assessment.

Machine perfused ex-vivo organs offer an excellent experimental platform, e.g., for studying organ physiology and for conducting pre-clinical trials for drug delivery. One main challenge in machine perfusion is the accurate assessment of organ condition. Assessment is often performed using viability markers, i.e., lactate concentrations and blood gas analysis. Nonetheless, existing markers for condition assessment can be inconclusive, and novel assessment methods remain of interest. Over the last decades, several imaging modalities have given unique insights into the assessment of organ condition. A systematic review was conducted according to accepted guidelines to evaluate these medical imaging methods, focussed on literature that use machine perfused human-sized organs, that determine organ condition with medical imaging. A total of 18 out of 1,465 studies were included that reported organ condition results in perfused hearts, kidneys, and livers, using both conventional viability markers and medical imaging. Laser speckle imaging, ultrasound, computed tomography, and magnetic resonance imaging were used to identify local ischemic regions and quantify intra-organ perfusion. A detailed investigation of metabolic activity was achieved using 31P magnetic resonance imaging and near-infrared spectroscopy. The current review shows that medical imaging is a powerful tool to assess organ condition.

Speckle denoising based on Swin-UNet in digital holographic interferometry

Speckle noise, mechano-physical noise, and environmental noise are inevitably introduced in digital holographic coherent imaging, which seriously affects the quality of phase maps, and the removal of non-Gaussian statistical noise represented by speckle noise has been a challenging problem. In the past few years, deep learning methods based on convolutional neural networks (CNNs) have made good progress in removing Gaussian noise. However, they tend to fail when these deep networks designed for Gaussian noise removal are used to remove speckle noise. Recently, numerous studies have employed CNNs to address the issue of degraded speckle images, yielding encouraging results. Nevertheless, the degradation of speckle noise that is simulated in isolation is limited and insufficient to encompass the increasingly complex DHI noise environment. This paper presents what we believe to be a novel approach to simulating complex noise environments by multiplexing simulated Gaussian noise and speckle noise. The noise resulting from aliasing does not adhere to the statistical laws of the noise prior to aliasing, which poses a more challenging task for the noise-reduction algorithms utilized in neural networks. Consequently, in conjunction with the capacity of the Swin Transformer to model multi-scale features, this paper proposes a DHI speckle denoising approach based on Swin-UNet. In this paper, Gaussian, speckle, and blending noise datasets with different noise densities are constructed for training and testing by numerical simulation, and generalizability tests are performed on 1,100 randomly selected open-source holographic tomography (HT) noise images at Warsaw University of Technology and 25 speckle images selected from DATABASE. All test results are quantitatively evaluated by three evaluation metrics: mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM). All convolutional neural network (CNN) algorithms are evaluated qualitatively based on the number of parameters, floating point operations, and denoising time. The results of the comparison demonstrate that the denoising algorithm presented in this paper exhibits greater stability, accuracy, and generalizability.

Evaluation of REFIX Technology on the Remineralization of Artificial Early Enamel Caries Lesion by Laser Speckle Tracking Analysis.

To assess the effectiveness of the REFIX technology in the remineralization process of initial caries simulated on bovine enamel. The assessment involved the analysis of backscatter intensity, which was determined from laser speckle images. Twenty-one bovine teeth were divided into three groups: G1 and G7 were submitted to treatment with the REFIX technology for 1 and 7 days, respectively. The control group was treated with deionized water. A significant difference in backscatter was found between the carious and sound areas in all groups (p = 0.0038, p < 0.0001, and p = 0.0002 for the control group, G1, and G7, respectively). The intergroup comparison revealed no significant difference among the groups studied. REFIX technology did not alter the optical properties of the samples of bovine teeth with simulated initial caries lesions after 1 and 7 days of treatment.

Quantitative evaluation of radiation-induced heart disease in patients with lung cancer: a three-dimensional speckle tracking imaging study.

Adverse cardiovascular events due to radiation-induced heart disease (RIHD) have become the leading cause of death in cancer survivors, and early screening for RIHD has become an important clinical issue. Our objective was to determine the utility of three-dimensional speckle tracking echocardiography (3D-STE) for detecting RIHD. According to inclusion and exclusion criteria, patients with lung cancer who received radiotherapy in our hospital for the first time were recruited as subjects. All subjects underwent the conventional echocardiography and 3D-STE examination at six time points (1 day before radiotherapy, 2.5-3 and 5-6 weeks after beginning radiotherapy, and 3-, 6- and 12-month after ending radiotherapy). Routine electrocardiogram, serum cardiac troponin I (cTnI) and clinical data were detected simultaneously. A total of 105 patients with lung cancer were included in the study. Conventional echocardiography found a small amount of pericardial effusion occurred in 8 subjects at 5-6 weeks after beginning radiotherapy. 3D-STE showed that, compared with before radiotherapy, the absolute values of global longitudinal strain (GLS) and global strain (GS) were significantly decreased at 5-6 weeks after beginning radiotherapy (PGLS<0.001, PGS=0.002), and the absolute values of GLS, global radial strain, global circumferential strain, GS were gradually decreased further at 3-, 6- and 12-month after ending radiotherapy (P<0.001). Electrocardiograph showed that 32 subjects had electrocardiograph abnormalities during radiotherapy and 3 had electrocardiograph abnormalities at 3-month after ending radiotherapy, and most returned to normal within 6 months after ending radiotherapy. Patients with lung cancer undergoing radiation therapy have shown a decrease in the function of the left ventricle of the heart while receiving treatment. Combining the assessment of cTnI with GLS can enhance the early detection of radiation-induced heart damage.