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Journal articles on the topic 'NON-INVASIVELY'

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Author: Grafiati
Published: 26 October 2023

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1

Larkin, Marilynn. "Neuritic plaques detected non-invasively." Lancet 354, no. 9193 (November 1999): 1882. http://dx.doi.org/10.1016/s0140-6736(05)76846-x.

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2

Gaur, Sara, Hiram G. Bezerra, Evald H. Christiansen, Kentaro Tanaka, Jesper M. Jensen, Anne K. Kaltoft, Hans Erik Botker, Jens F. Lassen, Christian J. Terkelsen, and Bjarne L. Norgaard. "REPRODUCIBILITY OF INVASIVELY MEASURED AND NON-INVASIVELY COMPUTED FRACTIONAL FLOW RESERVE." Journal of the American College of Cardiology 63, no. 12 (April 2014): A999. http://dx.doi.org/10.1016/s0735-1097(14)60999-2.

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3

Fronek, A., R. Kim, and B. Curran. "Non-invasively determined ambulatory venous pressure." Vascular Medicine 5, no. 4 (November 1, 2000): 213–16. http://dx.doi.org/10.1191/135886300701568496.

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4

Caplen, G., T. T. Mottram, A. Pickard, and S. Milligan. "Monitoring wild fauna fertility non-invasively." BSAP Occasional Publication 28 (2001): 155–56. http://dx.doi.org/10.1017/s146398150004111x.

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Scientists have long known that certain pesticides, industrial chemicals and heavy metals have a detrimental impact on the reproductive health of a wide range of species (including humans) by disrupting the endocrine system. As exposure to, and the effects of, ‘endocrine disrupters’ are likely to be more pronounced in wild species with a short gestation period and life-cycle we have chosen to develop non-invasive tools based upon faecal steroid analysis to monitor the reproductive status of the short-tailed field vole (Microtus agrestis). This approach is hoped to eventually provide a sensitive means of detecting environmental disturbances that could adversely affect humans, livestock and wildlife by establishing the the field vole as a terrestrial biomarker. Faecal steroid hormone analysis has already been demonstrated as being a convenient and reliable means of diagnosing reproductive state in a large range of mammalian species (including gazelle, rhino, macaque and mice), however, as of yet little is known regarding the hormonal changes that occur during pregnancy in M. agrestis.
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5

MILLER, DAVID, and DAVID M. BELL. "MONITORING CORNEAL WOUND STRENGTH NON-INVASIVELY." Acta Ophthalmologica 56, no. 4 (May 27, 2009): 544–50. http://dx.doi.org/10.1111/j.1755-3768.1978.tb01367.x.

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6

Fronek, Arnost, Reuben Kim, and Barbara Curran. "Non-invasively determined ambulatory venous pressure." Vascular Medicine 5, no. 4 (November 2000): 213–16. http://dx.doi.org/10.1177/1358836x0000500403.

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7

Cai, Y., M. Haghighi, P. Roberts, J. Mervis, A. Qasem, M. Butlin, D. Celermajer, A. Avolio, M. Skilton, and J. Ayer. "050 Comparison of Non-Invasively and Invasively Measured Central Hemodynamic Indices in Children." Heart, Lung and Circulation 29 (2020): S60. http://dx.doi.org/10.1016/j.hlc.2020.09.057.

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8

Payen, J.-F., L. Bourdon, P. Mezin, C. Jacquot, J.-F. Le Bas, P. Stieglitz, and A. L. Benabid. "Susceptibility to malignant hyperthermia detected non-invasively." Lancet 337, no. 8756 (June 1991): 1550–51. http://dx.doi.org/10.1016/0140-6736(91)93247-7.

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9

Salman, Michael S. "Can intracranial pressure be measured non-invasively?" Lancet 350, no. 9088 (November 1997): 1367. http://dx.doi.org/10.1016/s0140-6736(05)65138-0.

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10

Moretti, F., A. Grillo, F. Scalise, M. Rovina, L. Salvi, L. Gao, C. Baldi, et al. "COMPARISON BETWEEN AORTIC PULSE WAVE VELOCITY MEASURED INVASIVELY AND NON-INVASIVELY BY EIGHT DIFFERENT DEVICES." Journal of Hypertension 36, Supplement 1 (June 2018): e199-e200. http://dx.doi.org/10.1097/01.hjh.0000539557.02943.c8.

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11

Smith, Joyce, Melanie Ann Rushton, and Mike Barker. "How to measure a patient’s temperature non-invasively." Nursing Standard 34, no. 10 (September 27, 2019): 62–60. http://dx.doi.org/10.7748/ns.2019.e11346.

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12

Schuster, Larry. "Neural Progenitor Cells Tracked Non-invasively in Humans." Neurology Today 7, no. 24 (December 2007): 4. http://dx.doi.org/10.1097/01.nt.0000306051.22037.d1.

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13

Stone, James L., John R. Hughes, Arvind Kumar, Dianne Meyer, Kodanallur S. Subramanian, Michael S. Zalkind, and John Fino. "Electrocochleography recorded non-invasively from the external ear." Electroencephalography and Clinical Neurophysiology 63, no. 5 (May 1986): 494–96. http://dx.doi.org/10.1016/0013-4694(86)90132-x.

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14

Puckett, James L., and Steven C. George. "Partitioned exhaled nitric oxide to non-invasively assess asthma." Respiratory Physiology & Neurobiology 163, no. 1-3 (November 2008): 166–77. http://dx.doi.org/10.1016/j.resp.2008.07.020.

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15

Mackert, Bruno-Marcel, Gerd Wübbeler, Stefanie Leistner, Kamil Uludag, Hellmuth Obrig, Arno Villringer, Lutz Trahms, and Gabriel Curio. "Neurovascular coupling analyzed non-invasively in the human brain." NeuroReport 15, no. 1 (January 2004): 63–66. http://dx.doi.org/10.1097/00001756-200401190-00013.

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16

Fleiss, Joseph L., Molly H. Park, Bernard W. Bollmer, Robert W. Lehnhoff, and Neal W. Chilton. "Statistical transformations of indices of gingivitis measured non-invasively." Journal of Clinical Periodontology 12, no. 9 (October 1985): 750–55. http://dx.doi.org/10.1111/j.1600-051x.1985.tb01400.x.

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17

Bradley, T. J., C. Slorach, C. Manlhiot, W. Hui, M. K. Friedberg, E. T. Jaeggi, P. F. Kantor, and L. Mertens. "P4.02Assessing ventricular–vascular interactions non-invasively in healthy adolescents☆." Artery Research 7, no. 1 (2013): 1. http://dx.doi.org/10.1016/j.artres.2013.01.002.

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18

Bia, Daniel, Yanina Zócalo, Ramiro Sánchez, Juan F. Torrado, Gustavo Lev, Oscar Mendiz, Franco Pessana, Agustín Ramírez, and Edmundo I. Cabrera-Fischer. "Brachial Blood Pressure Invasively and Non-Invasively Obtained Using Oscillometry and Applanation Tonometry: Impact of Mean Blood Pressure Equations and Calibration Schemes on Agreement Levels." Journal of Cardiovascular Development and Disease 10, no. 2 (January 26, 2023): 45. http://dx.doi.org/10.3390/jcdd10020045.

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The use of oscillometric methods to determine brachial blood pressure (bBP) can lead to a systematic underestimation of the invasively measured systolic (bSBP) and pulse (bPP) pressure levels, together with a significant overestimation of diastolic pressure (bDBP). Similarly, the agreement between brachial mean blood pressure (bMBP), invasively and non-invasively measured, can be affected by inaccurate estimations/assumptions. Despite several methodologies that can be applied to estimate bMBP non-invasively, there is no consensus on which approach leads to the most accurate estimation. Aims: to evaluate the association and agreement between: (1) non-invasive (oscillometry) and invasive bBP; (2) invasive bMBP, and bMBP (i) measured by oscillometry and (ii) calculated using six different equations; and (3) bSBP and bPP invasively and non-invasively obtained by applanation tonometry and employing different calibration methods. To this end, invasive aortic blood pressure and bBP (catheterization), and non-invasive bBP (oscillometry [Mobil-O-Graph] and brachial artery applanation tonometry [SphygmoCor]) were simultaneously obtained (34 subjects, 193 records). bMBP was calculated using different approaches. Results: (i) the agreement between invasive bBP and their respective non-invasive measurements (oscillometry) showed dependence on bBP levels (proportional error); (ii) among the different approaches used to obtain bMBP, the equation that includes a form factor equal to 33% (bMBP = bDBP + bPP/3) showed the best association with the invasive bMBP; (iii) the best approach to estimate invasive bSBP and bPP from tonometry recordings is based on the calibration scheme that employs oscillometric bMBP. On the contrary, the worst association between invasive and applanation tonometry-derived bBP levels was observed when the brachial pulse waveform was calibrated to bMBP quantified as bMBP = bDBP + bPP/3. Our study strongly emphasizes the need for methodological transparency and consensus for non-invasive bMBP assessment.
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19

Portincasa, Piero, Ignazio Grattagliano, Bernhard H. Lauterburg, Vincenzo O. Palmieri, Giuseppe Palasciano, and Frans Stellaard. "Liver breath tests non-invasively predict higher stages of non-alcoholic steatohepatitis." Clinical Science 111, no. 2 (July 13, 2006): 135–43. http://dx.doi.org/10.1042/cs20050346.

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Effectively assessing subtle hepatic metabolic functions by novel non-invasive tests might be of clinical utility in scoring NAFLD (non-alcoholic fatty liver disease) and in identifying altered metabolic pathways. The present study was conducted on 39 (20 lean and 19 obese) hypertransaminasemic patients with histologically proven NAFLD {ranging from simple steatosis to severe steatohepatitis [NASH (non-alcoholic steatohepatitis)] and fibrosis} and 28 (20 lean and eight overweight) healthy controls, who underwent stable isotope breath testing ([13C]methacetin and [13C]ketoisocaproate) for microsomal and mitochondrial liver function in relation to histology, serum hyaluronate, as a marker of liver fibrosis, and body size. Compared with healthy subjects and patients with simple steatosis, NASH patients had enhanced methacetin demethylation (P=0.001), but decreased (P=0.001) and delayed (P=0.006) ketoisocaproate decarboxylation, which was inversely related (P=0.001) to the degree of histological fibrosis (r=−0.701), serum hyaluronate (r=−0.644) and body size (r=−0.485). Ketoisocaproate decarboxylation was impaired further in obese patients with NASH, but not in patients with simple steatosis and in overweight controls. NASH and insulin resistance were independently associated with an abnormal ketoisocaproate breath test (P=0.001). The cut-off value of 9.6% cumulative expired 13CO2 for ketoisocaproate at 60 min was associated with the highest prediction (positive predictive value, 0.90; negative predictive value, 0.73) for NASH, yielding an overall sensitivity of 68% and specificity of 94%. In conclusion, both microsomal and mitochondrial functions are disturbed in NASH. Therefore stable isotope breath tests may usefully contribute to a better and non-invasive characterization of patients with NAFLD.
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20

Taylor, A. M., D. Jenks, V. D. Kammath, B. Norman, J. P. Dillon, J. A. Gallagher, L. R. Ranganath, and J. G. Kerns. "Raman spectroscopy can non-invasively distinguish between ochronotic and non-ochronotic cartilage." Osteoarthritis and Cartilage 26 (April 2018): S105. http://dx.doi.org/10.1016/j.joca.2018.02.227.

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21

Bonier, Frances, Howard Quigley, and Steven N. Austad. "A technique for non-invasively detecting stress response in cougars." Wildlife Society Bulletin 32, no. 3 (September 2004): 711–17. http://dx.doi.org/10.2193/0091-7648(2004)032[0711:atfnds]2.0.co;2.

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22

Bhatti, Fazal-Ur-Rehman, Yong-Hoon Jeong, Do-Gyoon Kim, Ae-Kyung Yi, David D. Brand, Karen A. Hasty, and Hongsik Cho. "Characterization of Non-Invasively Induced Post-Traumatic Osteoarthritis in Mice." Antioxidants 11, no. 9 (September 9, 2022): 1783. http://dx.doi.org/10.3390/antiox11091783.

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The pathophysiology of post-traumatic arthritis (PTOA) is not fully understood. This study used non-invasive repetitive mechanical loading (ML) mouse models to study biochemical, biomechanical, and pain-related behavioral changes induced in mice. Mouse models reflected the effects of the early stages of PTOA in humans. For the PTOA model, cyclic comprehensive loading (9N) was applied to each mouse’s left knee joint. ML-induced biochemical and molecular changes were analyzed after loading completion. Cartilage samples were examined using gene expression analysis. Tissue sections were used in subsequent OA severity scoring. Biomechanical features and pain-related behavior were studied after 24 h and three weeks post-ML sessions to examine the development of PTOA. The loaded left knee joint showed a greater ROS/RNS signal than the right knee, which was not loaded. There was a significant increase in cartilage damage and MMP activity in the mechanically loaded joints relative to non-loaded control knee joints. Similarly, we found a difference in the viscoelastic tangent, which highlights significant changes in mechanical properties. Biochemical analyses revealed significant increases in total NO, caspase-3 activity, H2O2, and PGE2 levels. Gene expression analysis highlighted increased catabolism (MMP-13, IL-1β, TNF-α) with a concomitant decrease in anabolism (ACAN, COL2A1). Histopathology scores clearly indicated increases in OA progression and synovitis. The gait pattern was significantly altered, suggesting signs of joint damage. This study showed that biomechanical, biochemical, and behavioral characteristics of the murine PTOA groups are significantly different from the control group. These results confirm that the current mouse model can be considered for translational PTOA studies.
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23

Pauli, J. N., M. Ben-David, S. W. Buskirk, J. E. DePue, and W. P. Smith. "An isotopic technique to mark mid-sized vertebrates non-invasively." Journal of Zoology 278, no. 2 (June 2009): 141–48. http://dx.doi.org/10.1111/j.1469-7998.2009.00562.x.

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24

Bamberger, Judith A., and Margaret S. Greenwood. "Measuring fluid and slurry density and solids concentration non-invasively." Ultrasonics 42, no. 1-9 (April 2004): 563–67. http://dx.doi.org/10.1016/j.ultras.2004.01.032.

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25

Waterstraat, Gunnar, Tommaso Fedele, Martin Burghoff, Hans-Jürgen Scheer, and Gabriel Curio. "Recording human cortical population spikes non-invasively – An EEG tutorial." Journal of Neuroscience Methods 250 (July 2015): 74–84. http://dx.doi.org/10.1016/j.jneumeth.2014.08.013.

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26

Todd, Neil P. M., Sendhil Govender, and James G. Colebatch. "The human electrocerebellogram (ECeG) recorded non-invasively using scalp electrodes." Neuroscience Letters 682 (August 2018): 124–31. http://dx.doi.org/10.1016/j.neulet.2018.06.012.

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27

Warnecke, Lisa. "Quantifying torpor in small mammals non-invasively using infrared thermocouples." Journal of Thermal Biology 37, no. 5 (August 2012): 380–83. http://dx.doi.org/10.1016/j.jtherbio.2012.02.002.

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28

Brown, B. H., R. A. Primhak, R. H. Smallwood, P. Milnes, A. J. Narracott, and M. J. Jackson. "Neonatal lungs-can absolute lung resistivity be determined non-invasively?" Medical & Biological Engineering & Computing 40, no. 4 (July 2002): 388–94. http://dx.doi.org/10.1007/bf02345070.

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29

Lambotte, L., T. Vander Borght, and S. Pauwels. "Liver regeneration measured non invasively with positron emission tomography (PET)." Journal of Hepatology 11 (January 1990): S36. http://dx.doi.org/10.1016/0168-8278(90)91480-k.

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30

Ettles, D. F., J. Davies, and G. J. Williams. "Can left ventricular end-diastolic pressure be estimated non-invasively?" International Journal of Cardiology 20, no. 2 (August 1988): 239–45. http://dx.doi.org/10.1016/0167-5273(88)90268-9.

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31

von Morze, Cornelius. "Detecting liver injury non-invasively using hyperpolarized 13 C MRI." Liver International 38, no. 6 (May 25, 2018): 988–90. http://dx.doi.org/10.1111/liv.13726.

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32

Bradley, T. J., C. Slorach, C. Manlhiot, W. Hui, M. K. Friedberg, E. T. Jaeggi, P. F. Kantor, and L. Mertens. "P4.02 ASSESSING VENTRICULAR-VASCULAR INTERACTIONS NON-INVASIVELY IN HEALTHY ADOLESCENTS." Artery Research 6, no. 4 (2012): 183. http://dx.doi.org/10.1016/j.artres.2012.09.150.

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33

Fang, Zhou, Teresa Schuhmann, Sanne Ten Oever, Alexander Sack, and Inge Leunissen. "Modulating inhibitory control non-invasively with transcranial alternating current stimulation." Brain Stimulation 16, no. 1 (January 2023): 127. http://dx.doi.org/10.1016/j.brs.2023.01.044.

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34

Dreyer, Pia, Charlotte Kirkegård Lorenzen, Lone Schou, and Michael Felding. "Survival in ALS with home mechanical ventilation non-invasively and invasively: A 15-year cohort study in west Denmark." Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 15, no. 1-2 (September 25, 2013): 62–67. http://dx.doi.org/10.3109/21678421.2013.837929.

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35

Nguyen, Tin-Quoc, Kristoffer Hansen, Thor Bechsgaard, Lars Lönn, Jørgen Jensen, and Michael Nielsen. "Non-Invasive Assessment of Intravascular Pressure Gradients: A Review of Current and Proposed Novel Methods." Diagnostics 9, no. 1 (December 29, 2018): 5. http://dx.doi.org/10.3390/diagnostics9010005.

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Invasive catheterization is associated with a low risk of serious complications. However, although it is the gold standard for measuring pressure gradients, it induces changes to blood flow and requires significant resources. Therefore, non-invasive alternatives are urgently needed. Pressure gradients are routinely estimated non-invasively in clinical settings using ultrasound and calculated with the simplified Bernoulli equation, a method with several limitations. A PubMed literature search on validation of non-invasive techniques was conducted, and studies were included if non-invasively estimated pressure gradients were compared with invasively measured pressure gradients in vivo. Pressure gradients were mainly estimated from velocities obtained with Doppler ultrasound or magnetic resonance imaging. Most studies used the simplified Bernoulli equation, but more recent studies have employed the expanded Bernoulli and Navier–Stokes equations. Overall, the studies reported good correlation between non-invasive estimation of pressure gradients and catheterization. Despite having strong correlations, several studies reported the non-invasive techniques to either overestimate or underestimate the invasive measurements, thus questioning the accuracy of the non-invasive methods. In conclusion, more advanced imaging techniques may be needed to overcome the shortcomings of current methods.
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36

Cho, Sung Woo, Byung Ok Kim, Jeong Hoon Kim, Young Sup Byun, Choong Won Goh, Kun Joo Rhee, and Hee Kyung Kim. "The relation of non-invasively and invasively assessed aortic pulsatile indices to the presence and severity of coronary artery disease." Blood Pressure 20, no. 5 (March 31, 2011): 309–16. http://dx.doi.org/10.3109/08037051.2011.570055.

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37

Stäuber, Alexander, Cornelia Piper, Marco Köster, Marcus Dörr, Stefan Richter, Marc-Alexander Ohlow, Siegfried Eckert, and Johannes Baulmann. "Invasive validation of the Antares algorithm for determining central blood pressure based on upper arm oscillometric pulse waves in patients with type 2 diabetes." BMJ Open Diabetes Research & Care 11, no. 1 (January 2023): e003119. http://dx.doi.org/10.1136/bmjdrc-2022-003119.

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IntroductionAntares is a pulse wave analysis (PWA) algorithm designed to allow a non-invasive estimation of central (aortic) blood pressure (cBP) using automated oscillometric blood pressure (BP) devices. Diabetes may affect elastic and muscular arteries differently, resulting in disparate pulse wave characteristics in central and peripheral arteries, which may limit the accuracy of PWA devices. The aim of our study was to evaluate the accuracy of Antares for estimating cBP as compared with invasively measured cBP in patients with type 2 diabetes.Research design and methodsIn this study, consecutive patients undergoing elective coronary angiography were recruited between November 2017 and September 2020. In 119 patients with type 2 diabetes, cBP was measured invasively and simultaneously determined non-invasively using the custo screen 400 device with the integrated Antares algorithm.ResultsThe mean difference between the estimated and invasively measured cBP was 1.2±6.3 mmHg for central systolic BP (cSBP), 1.0±4.3 mmHg for central mean arterial pressure (cMAP) and 3.6±5.7 mmHg for central diastolic BP (cDBP). High correlations were found between estimated cBP and invasively measured cBP (cSBP: r=0.916; cMAP: r=0.882; cDBP: r=0.791; all p<0.001).ConclusionsThe present study suggests that the Antares algorithm incorporated into the custo screen 400 device can estimate cBP with high accuracy turning a conventional oscillometric BP device into a type II device for the non-invasive estimation of cBP, which is applicable in patients with type 2 diabetes. Integration of Antares into commercially available BP devices could facilitate the introduction of cBP into routine clinical practice as a part of disease and risk management.
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38

Costa Moura, Catarina, Stuart A. Lanham, Tual Monfort, Konstantinos N. Bourdakos, Rahul S. Tare, Richard O. C. Oreffo, and Sumeet Mahajan. "Quantitative temporal interrogation in 3D of bioengineered human cartilage using multimodal label-free imaging." Integrative Biology 10, no. 10 (2018): 635–45. http://dx.doi.org/10.1039/c8ib00050f.

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39

Hong, Y., J. Wang, J. Li, Z. Xu, X. Yang, M. Bai, P. Gong, et al. "Enhancing non-invasive brain stimulation with non-invasively delivered nanoparticles for improving stroke recovery." Materials Today Chemistry 26 (December 2022): 101104. http://dx.doi.org/10.1016/j.mtchem.2022.101104.

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40

Adase, C., M. Walker, J. Shi, J. McGhee, T. Holscher, M. Kim, Z. Yao, J. Rock, B. Jansen, and M. D. Howell. "058 Identification of novel gene classifiers to non-invasively diagnose non-melanoma skin cancer." Journal of Investigative Dermatology 141, no. 5 (May 2021): S10. http://dx.doi.org/10.1016/j.jid.2021.02.075.

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41

Zhang, Zhikun, Yang Liu, Peifeng Liu, Lu Yang, Xingyu Jiang, Dan Luo, and Dayong Yang. "Non-invasive detection of gastric cancer relevantd-amino acids with luminescent DNA/silver nanoclusters." Nanoscale 9, no. 48 (2017): 19367–73. http://dx.doi.org/10.1039/c7nr07337b.

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42

Park, Laura, Claire Ford, and Jaden Allan. "A guide to undertaking and understanding blood pressure measurement." British Journal of Nursing 31, no. 7 (April 7, 2022): 356–62. http://dx.doi.org/10.12968/bjon.2022.31.7.356.

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This article aims to provide background information on blood pressure. It outlines the anatomy and physiology associated with the skill of blood pressure measurement, and the varying techniques for taking blood pressure readings, both invasively and non-invasively. It further explains the steps for taking a manual blood pressure and provides top tips for carrying out this procedure in clinical practice.
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43

Loktionov, Alexandre. "Biomarkers for detecting colorectal cancer non-invasively: DNA, RNA or proteins?" World Journal of Gastrointestinal Oncology 12, no. 2 (February 15, 2020): 124–48. http://dx.doi.org/10.4251/wjgo.v12.i2.124.

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44

Howell, M. D., T. Allen, M. Hanhan, J. Rock, Z. Yao, B. Jansen, and J. Dobak. "402 Non-invasively stratifying atopic dermatitis patients based on inflammatory genes." Journal of Investigative Dermatology 141, no. 5 (May 2021): S70. http://dx.doi.org/10.1016/j.jid.2021.02.425.

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45

Rahman, Rifaquat, and Raymond Y. Huang. "Deep learning approaches to non-invasively assess molecular features of gliomas." Neuro-Oncology 24, no. 4 (January 13, 2022): 653–54. http://dx.doi.org/10.1093/neuonc/noab304.

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46

Au, T. Chong-Pong, J. G. Webster, and B. T. Tan. "A system for non-invasively measuring blood pressure on a treadmill." Physiological Measurement 16, no. 4 (November 1, 1995): 273–85. http://dx.doi.org/10.1088/0967-3334/16/4/007.

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47

Porter, Thomas R., and Feng Xie. "Emerging cardiovascular imaging techniques to non-invasively detect coronary artery disease." Expert Opinion on Medical Diagnostics 1, no. 2 (October 2007): 203–11. http://dx.doi.org/10.1517/17530059.1.2.203.

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48

D'Arcy, T. J., V. Jayaram, M. Lynch, W. P. Soutter, D. O. Cosgrove, C. J. Harvey, and N. Patel. "Ovarian cancer detected non-invasively by contrast-enhanced power Doppler ultrasound." BJOG: An International Journal of Obstetrics and Gynaecology 111, no. 6 (June 2004): 619–22. http://dx.doi.org/10.1111/j.1471-0528.2004.00157.x.

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49

Heinrich, Matthias, Franz Lehmann, Franz Josef Grüneberger, Martin Gaedke, Thomas Springer, and Alexander Schill. "Enriching single-user web applications non-invasively with shared editing support." Science of Computer Programming 94 (November 2014): 53–66. http://dx.doi.org/10.1016/j.scico.2013.07.017.

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50

Cross, Anne H., and Sheng-Kwei Song. "“A new imaging modality to non-invasively assess multiple sclerosis pathology”." Journal of Neuroimmunology 304 (March 2017): 81–85. http://dx.doi.org/10.1016/j.jneuroim.2016.10.002.

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