US Preventive Companies Job Pressure. Screening for breast most cancers: US Preventive Companies Job Pressure suggestion assertion. Ann. Intern. Med. 151(10), 716–236 (2009).
Nelson, H. D. et al. Screening for breast most cancers: an replace for the US Preventive Companies Job Pressure. Ann. Intern. Med. 151(10), 727–737 (2009).
Heart for Illness Management (CDC). Well being, United States, 2019, Desk 33.
Feldstein, A. C. et al. Affected person obstacles to mammography recognized throughout a reminder program. J. Womens Well being 20(3), 421–428 (2011).
Jemal, Ahmedin, Ward, Elizabeth & Thun, Michael J. Latest developments in breast most cancers incidence charges by age and tumor traits amongst US ladies. Breast Most cancers Res. 9(3), 1–6 (2007).
Broeders, M. et al. The impression of mammographic screening on breast most cancers mortality in Europe: A overview of observational research. J. Med. Display screen. 19(1 suppl), 14–25 (2012).
Blumen, H., Fitch, Ok. & Polkus, V. Comparability of remedy prices for breast most cancers, by tumor stage and kind of service. Am. Well being Drug Advantages 9(1), 23 (2016).
Barlow, W. E. et al. Accuracy of screening mammography interpretation by traits of radiologists. J. Natl Most cancers Inst. 96(24), 1840–1850 (2004).
Desreux, J. A. Breast most cancers screening in younger ladies. Eur. J. Obstetr. Gynecol. Reprod. Biol. 230, 208–211 (2018).
Siu, A. L. Screening for breast most cancers: US Preventive Companies Job Pressure suggestion assertion. Ann. Intern. Med. 164(4), 279–296 (2016).
Sechopoulos, I., Suryanarayanan, S., Vedantham, S., D’Orsi, C. J. & Karellas, A. Radiation dose to organs and tissues from mammography: Monte Carlo and phantom research. Radiology 246(2), 434–443 (2008).
Gøtzsche, P. C. The controversy on breast most cancers screening with mammography is vital. J. Am. Coll. Radiol. 1(1), 8–14 (2004).
World Well being Group. WHO Place Paper on Mammography Screening (WHO, 2014).
World Well being Group. Illness Burden and Mortality Estimates (WHO, 2018).
Apantaku, L. M. Breast most cancers analysis and screening. Am. Fam. Phys. 62(3), 596–602 (2000).
Podgornova, Y. A. & Sadykov, S. S. Detection of malignant breast tumors on the background of fibrocystic breast illness. In CEUR Workshop Proceedings, Vol. 2210, 177 (2018).
Malherbe, Ok. & Fatima, S. Fibrocystic Breast Illness (2019).
Warner, E. et al. Surveillance of BRCA1 and BRCA2 mutation carriers with magnetic resonance imaging, ultrasound, mammography, and scientific breast examination. JAMA 292(11), 1317–1325 (2004).
Mango, V. L., Goel, A., Mema, E., Kwak, E. & Ha, R. Breast MRI screening for averagerisk ladies: A Monte Carlo simulation costbenefit evaluation. J. Magn. Reson. Imaging 49(7), e216–e221 (2019).
Persaud, Krishna & Dodd, George. Evaluation of discrimination mechanisms within the mammalian olfactory system utilizing a mannequin nostril. Nature 299(5881), 352–355 (1982).
Asimakopoulos, A. D. et al. Prostate most cancers analysis via digital nostril within the urine headspace setting: A pilot research. Prostate Most cancers Prostatic Dis. 17(2), 206–211 (2014).
Guerrero-Flores, H. et al. A non-invasive software for detecting cervical most cancers odor by trainedscent canines. BMC Most cancers 17(1), 79 (2017).
Buszewski, B. et al. Identification of unstable lung most cancers markers by fuel chromatography-mass spectrometry: Comparability with discrimination by canines. Anal. Bioanal. Chem. 404(1), 141–146 (2012).
Blatt, R., Bonarini, A. & Matteuci, M. Sample Classification Strategies for Lung Most cancers Analysis by an Digital Nostril 397–423 (Springer, 2010).
Phillips, M. et al. Fast point-of-care breath take a look at for biomarkers of breast most cancers and irregular mammograms. PLoS ONE 9(3), e90226 (2014).
Burton, C. & Ma, Y. Present developments in most cancers biomarker discovery utilizing urinary metabolomics: Achievements and new challenges. Curr. Med. Chem. 24, 5–28 (2017).
Guo, C. et al. Discriminating sufferers with early-stage breast most cancers from benign lesions by detection of oxidative DNA harm biomarker in urine. Oncotarget 8(32), 53100 (2017).
Horvath, G., Järverud, G., Järverud, S. & Horváth, I. Human ovarian carcinomas detected by particular odor. Integr. Most cancers Ther. 7(2), 76–80 (2008).
Lavra, L. et al. Investigation of VOCs related to completely different traits of breast most cancers cells. Sci. Rep. 5(1), 13246 (2015).
van Keulen, Ok. E., Jansen, M. E., Schrauwen, R. W., Kolkman, J. J. & Siersema, P. D. Unstable natural compounds in breath can function a noninvasive diagnostic biomarker for the detection of superior adenomas and colorectal most cancers. Aliment. Pharmacol. Therap. 51(3), 334–346 (2020).
Antoce, A. O. & Namolosanu, I. O. A. N. Fast and exact discrimination of wines via an digital nostril primarily based on gas-chromatography. Rev. Chim. 62(6), 593–595 (2011).
Kishimoto, N. & Kashiwagi, A. Analysis of filtration on unstable compounds in virgin olive oils utilizing an digital nostril. In 2019 IEEE Worldwide Symposium on Olfaction and Digital Nostril (ISOEN), 1–3 (IEEE, 2019).
Dent, A., Sutedja, T. & Zimmerman, P. Exhaled breath evaluation for lung most cancers. J. Thorac. Dis. 63(2), 164–168 (2013).
Peng, G. et al. Detection of lung, breast, colorectal and prostate cancers from exhaled breath utilizing a single array of nanosensors. Br. J. Most cancers 103(4), 542–551 (2010).
Peled, N. et al. Non-invasive breath evaluation of pulmonary nodules. J. Thorac. Oncol. 7(10), 1528–1533 (2012).
Di Natale, C. et al. Lung most cancers identification by the evaluation of breath via an array of non-selective fuel sensors. Biosens. Bioelectron. 18(10), 1209–1218 (2003).
D’Amico, A. et al. An investigation on digital nostril analysis of lung most cancers. Lung Most cancers 68(2), 170–176 (2010).
Huang, Y., Li, Y., Luo, Z. & Duan, Y. Investigation of biomarkers for discriminating breast most cancers cell traces from regular mammary cell traces primarily based on VOCs evaluation and metabolomics. R. Soc. Chem. Adv. 6(48), 41816–41824 (2016).
Wang, C. et al. Unstable natural metabolites determine sufferers with breast most cancers, cyclomastopathy, and mammary gland fibroma. Sci. Rep. 4(1), 5383 (2014).
Silva, C., Perestrelo, R., Silva, P., Tomás, H. & Câmara, J. Unstable metabolomic signature of human breast most cancers cell traces. Sci. Rep. 7, 43969 (2017).
Li, J. et al. Investigation of potential breath biomarkers for the early analysis of breast most cancers utilizing fuel chromatography-mass spectrometry. Clin. Chim. Acta 436, 59–67 (2014).
Vignoli, A. et al. Precision oncology through NMR-based metabolomics: A overview on breast most cancers. Int. J. Mol. Sci. 22(9), 4687 (2021).
Weber, C. et al. Analysis of a fuel sensor array and sample recognition for the identification of bladder most cancers from urine headspace. Analyst 136(2), 359–364 (2011).
Roine, A. et al. Detection of odor print variations between nonmalignant and malignant prostate cells with an digital nostril. Future Oncol. 8(9), 1157–1165 (2012).
Watson, J. The tin oxide fuel sensor and its functions. Sens. Actuators 5(1), 29–42 (1984).
Mazzone, P. et al. Analysis of lung most cancers by the evaluation of exhaled breath with a colorimetric sensor array. Thorax 62(7), 565–568 (2007).
Machado, R. et al. Detection of lung most cancers by sensor array analyses of exhaled breath. Am. J. Respir. Crit. Care Med. 171(11), 1286–1291 (2005).
Dragonieri, S. et al. An digital nostril within the discrimination of sufferers with non-small cell lung most cancers and COPD. Lung Most cancers 64(2), 166–170 (2009).
O’Donovan, P. et al. Azathioprine and UVA mild generate mutagenic oxidative DNA harm. Science 309, 1871–1874 (2005).
Brooks, S., Moore, D., Marzouk, E., Glenn, F. & Hallock, R. Canine olfaction and digital nostril detection of unstable natural compounds within the detection of most cancers: A overview. Most cancers Investig. 33(9), 411–419 (2015).
Listing of MAK and BAT Values 2017: Everlasting Senate Fee for the Investigation of Well being Hazards of Chemical Compounds within the Work Space. Report 53, Vol. 17, 1st ed, 14–36 (WILEYVCH Verlag GmbH and Co. KGaA, 2017).
”The PubChem Mission”. Pubchem.ncbi.nlm.nih.gov. https://pubchem.ncbi.nlm.nih.gov (2018) (Accessed 10 March 2018).
”Human Metabolome Database”, HMDB. http://www.hmdb.ca (2018) (Accessed 30 Could 2018).
Mochalski, P. & Unterkofler, Ok. Quantification of chosen unstable natural compounds in human urine by fuel chromatography selective reagent ionization time of flight mass spectrometry (GC-SRI-TOF-MS) coupled with head-space solid-phase microextraction (HS-SPME). Analyst 141(15), 4796–4803 (2016).
Brsan, N. & Weimar, U. Understanding the elemental ideas of steel oxide primarily based fuel sensors; the instance of CO sensing with SnO2 sensors within the presence of humidity. J. Phys. Condens. Matter 15(20), 813–839 (2003).
Henriksen, T., Hillestrom, P., Poulsen, H. & Weimann, A. Automated technique for the direct evaluation of 8-oxo-guanosine and 8-oxo-2’-deoxyguanosine in human urine utilizing ultraperformance liquid chromatography and tandem mass spectrometry. Free Radic. Biol. Med. 47(5), 629–635 (2009).
Smith, S. et al. A comparative research of the evaluation of human urine headspace utilizing fuel chromatography–mass spectrometry. J. Breath Res. 2, 037022 (2008).
Allen, B. et al. Ketogenic diets as an adjuvant most cancers remedy: Historical past and potential mechanism. Redox Biol. 2, 963–970 (2014).