|
1
|
Pircalabioru GG, Iliescu FS, Mihaescu G, Cucu AI, Ionescu ON, Popescu M, Simion M, Burlibasa L, Tica M, Chifiriuc MC and Iliescu C: Advances in the rapid diagnostic of viral respiratory tract infections. Front Cell Infect Microbiol. 12(807253)2022.PubMed/NCBI View Article : Google Scholar
|
|
2
|
Vitazkova D, Foltan E, Kosnacova H, Micjan M, Donoval M, Kuzma A, Kopani M and Vavrinsky E: Advances in respiratory monitoring: A comprehensive review of wearable and remote technologies. Biosensors (Basel). 14(90)2024.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Hsieh J and Flohr T: Computed tomography recent history and future perspectives. J Med Imaging (Bellingham). 8(052109)2021.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Müller NL: Computed tomography and magnetic resonance imaging: Past, present and future. Eur Respir J Suppl. 35:3s–12s. 2002.PubMed/NCBI
|
|
5
|
Beyer T, Freudenberg LS, Townsend DW and Czernin J: The future of hybrid imaging-part 1: Hybrid imaging technologies and SPECT/CT. Insights Imaging. 2:161–169. 2011.PubMed/NCBI View Article : Google Scholar
|
|
6
|
Ruppel GL and Enright PL: Pulmonary function testing. Respir Care. 57:165–175. 2012.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Georgakopoulou VE, Tarantinos K, Papalexis P, Spandidos DA, Damaskos C, Gkoufa A, Chlapoutakis S, Sklapani P, Trakas N and Mermigkis D: Role of pulmonary function testing in inflammatory bowel diseases (Review). Med Int (Lond). 2(25)2022.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Obeidat M and Hall IP: Genetics of complex respiratory diseases: Implications for pathophysiology and pharmacology studies. Br J Pharmacol. 163:96–105. 2011.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Georgakopoulou VE, Lempesis IG, Sklapani P, Trakas N and Spandidos DA: Precision medicine for respiratory diseases: A current viewpoint. Med Int (Lond). 4(31)2024.PubMed/NCBI View Article : Google Scholar
|
|
10
|
Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL and Remy J: Fleischner society: Glossary of terms for thoracic imaging. Radiology. 246:697–722. 2008.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Volpicelli G, Elbarbary M, Blaivas M, Lichtenstein DA, Mathis G, Kirkpatrick AW, Melniker L, Gargani L, Noble VE, Via G, et al: International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med. 38:577–591. 2012.PubMed/NCBI View Article : Google Scholar
|
|
12
|
Sigrist RMS, Liau J, Kaffas AE, Chammas MC and Willmann JK: Ultrasound elastography: Review of techniques and clinical applications. Theranostics. 7:1303–1329. 2017.PubMed/NCBI View Article : Google Scholar
|
|
13
|
Austin JH, Müller NL, Friedman PJ, Hansell DM, Naidich DP, Remy-Jardin M, Webb WR and Zerhouni EA: Glossary of terms for CT of the lungs: Recommendations of the Nomenclature Committee of the Fleischner society. Radiology. 200:327–331. 1996.PubMed/NCBI View Article : Google Scholar
|
|
14
|
Brenner DJ and Hall EJ: Computed tomography-an increasing source of radiation exposure. N Engl J Med. 357:2277–2284. 2007.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Mettler FA Jr, Huda W, Yoshizumi TT and Mahesh M: Effective doses in radiology and diagnostic nuclear medicine: A catalog. Radiology. 248:254–263. 2008.PubMed/NCBI View Article : Google Scholar
|
|
16
|
Stapley S, Sharp D and Hamilton W: Negative chest X-rays in primary care patients with lung cancer. Br J Gen Pract. 56:570–573. 2006.PubMed/NCBI
|
|
17
|
Pysz MA, Gambhir SS and Willmann JK: Molecular imaging: Current status and emerging strategies. Clin Radiol. 65:500–516. 2010.PubMed/NCBI View Article : Google Scholar
|
|
18
|
Krishnan G, Singh S, Pathania M, Gosavi S, Abhishek S, Parchani A and Dhar M: Artificial intelligence in clinical medicine: Catalyzing a sustainable global healthcare paradigm. Front Artif Intell. 6(1227091)2023.PubMed/NCBI View Article : Google Scholar
|
|
19
|
Campbell-Washburn AE: 2019 American Thoracic Society BEAR cage winning proposal: Lung imaging using high-performance low-field magnetic resonance imaging. Am J Respir Crit Care Med. 201:1333–1336. 2020.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Tsuchiya N, van Beek EJ, Ohno Y, Hatabu H, Kauczor HU, Swift A, Vogel-Claussen J, Biederer J, Wild J, Wielpütz MO and Schiebler ML: Magnetic resonance angiography for the primary diagnosis of pulmonary embolism: A review from the international workshop for pulmonary functional imaging. World J Radiol. 10:52–64. 2018.PubMed/NCBI View Article : Google Scholar
|
|
21
|
Rea G, Sperandeo M, Lieto R, Bocchino M, Quarato CMI, Feragalli B, Valente T, Scioscia G, Giuffreda E, Barbaro MP and Lacedonia D: Chest imaging in the diagnosis and management of pulmonary tuberculosis: The complementary role of thoracic ultrasound. Front Med (Lausanne). 8(753821)2021.PubMed/NCBI View Article : Google Scholar
|
|
22
|
Henschke CI, McCauley DI, Yankelevitz DF, Naidich DP, McGuinness G, Miettinen OS, Libby DM, Pasmantier MW, Koizumi J, Altorki NK and Smith JP: Early lung cancer action project: Overall design and findings from baseline screening. Lancet. 354:99–105. 1999.PubMed/NCBI View Article : Google Scholar
|
|
23
|
Power SP, Moloney F, Twomey M, James K, O'Connor OJ and Maher MM: Computed tomography and patient risk: Facts, perceptions and uncertainties. World J Radiol. 8:902–915. 2016.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Calloway HE, Kimbell JS, Davis SD, Retsch-Bogart GZ, Pitkin EA, Abode K, Superfine R and Zdanski CJ: Comparison of endoscopic versus 3D CT derived airway measurements. Laryngoscope. 123:2136–2141. 2013.PubMed/NCBI View Article : Google Scholar
|
|
25
|
Ghaye B, Ghuysen A, Bruyere PJ, D'Orio V and Dondelinger RF: Can CT pulmonary angiography allow assessment of severity and prognosis in patients presenting with pulmonary embolism? What the radiologist needs to know. Radiographics. 26:23–39. 2006.PubMed/NCBI View Article : Google Scholar
|
|
26
|
Lynch DA, Godwin JD, Safrin S, Starko KM, Hormel P, Brown KK, Raghu G, King TE Jr, Bradford WZ, Schwartz DA, et al: High-resolution computed tomography in idiopathic pulmonary fibrosis: Diagnosis and prognosis. Am J Respir Crit Care Med. 172:488–493. 2005.PubMed/NCBI View Article : Google Scholar
|
|
27
|
DiBardino DM, Yarmus LB and Semaan RW: Transthoracic needle biopsy of the lung. J Thorac Dis. 7 (Suppl 4):S304–S316. 2015.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Biederer J, Mirsadraee S, Beer M, Molinari F, Hintze C, Bauman G, Both M, Van Beek EJ, Wild J and Puderbach M: MRI of the lung (3/3)-current applications and future perspectives. Insights Imaging. 3:373–386. 2012.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Foo CT, Langton D, Thompson BR and Thien F: Functional lung imaging using novel and emerging MRI techniques. Front Med (Lausanne). 10(1060940)2023.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Schrevens L, Lorent N, Dooms C and Vansteenkiste J: The role of PET scan in diagnosis, staging, and management of non-small cell lung cancer. Oncologist. 9:633–643. 2004.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Herder GJ, Kramer H, Hoekstra OS, Smit EF, Pruim J, van Tinteren H, Comans EF, Verboom P, Uyl-de Groot CA, Welling A, et al: Traditional versus up-front [18F] fluorodeoxyglucose-positron emission tomography staging of non-small-cell lung cancer: A Dutch cooperative randomized study. J Clin Oncol. 24:1800–1806. 2006.PubMed/NCBI View Article : Google Scholar
|
|
32
|
Miettinen OS and Henschke CI: CT screening for lung cancer: Coping with nihilistic recommendations. Radiology. 221:592–596. 2001.PubMed/NCBI View Article : Google Scholar
|
|
33
|
Gould MK, Maclean CC, Kuschner WG, Rydzak CE and Owens DK: Accuracy of positron emission tomography for diagnosis of pulmonary nodules and mass lesions: A meta-analysis. JAMA. 285:914–924. 2001.PubMed/NCBI View Article : Google Scholar
|
|
34
|
Viney RC, Boyer MJ, King MT, Kenny PM, Pollicino CA, McLean JM, McCaughan BC and Fulham MJ: Randomized controlled trial of the role of positron emission tomography in the management of stage I and II non-small-cell lung cancer. J Clin Oncol. 22:2357–2362. 2004.PubMed/NCBI View Article : Google Scholar
|
|
35
|
Bradley JD, Bae K, Graham MV, Byhardt R, Govindan R, Fowler J, Purdy JA, Michalski JM, Gore E and Choy H: Primary analysis of the phase II component of a phase I/II dose intensification study using three-dimensional conformal radiation therapy and concurrent chemotherapy for patients with inoperable non-small-cell lung cancer: RTOG 0117. J Clin Oncol. 28:2475–2480. 2010.PubMed/NCBI View Article : Google Scholar
|
|
36
|
Pulumati A, Pulumati A, Dwarakanath BS, Verma A and Papineni RVL: Technological advancements in cancer diagnostics: Improvements and limitations. Cancer Rep (Hoboken). 6(e1764)2023.PubMed/NCBI View Article : Google Scholar
|
|
37
|
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, Crapo R, Enright P, van der Grinten CP, Gustafsson P, et al: Standardisation of spirometry. Eur Respir J. 26:319–338. 2005.PubMed/NCBI View Article : Google Scholar
|
|
38
|
Pellegrino R, Viegi G, Brusasco V, Crapo RO, Burgos F, Casaburi R, Coates A, van der Grinten CP, Gustafsson P, Hankinson J, et al: Interpretative strategies for lung function tests. Eur Respir J. 26:948–968. 2005.PubMed/NCBI View Article : Google Scholar
|
|
39
|
Quanjer PH, Stanojevic S, Cole TJ, Baur X, Hall GL, Culver BH, Enright PL, Hankinson JL, Ip MS, Zheng J, et al: Multi-ethnic reference values for spirometry for the 3-95-yr age range: The global lung function 2012 equations. Eur Respir J. 40:1324–1343. 2012.PubMed/NCBI View Article : Google Scholar
|
|
40
|
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, Crapo R, Enright P, van der Grinten CP, Gustafsson P, et al: Standardisation of spirometry. Eur Respir J. 26:319–338. 2005.PubMed/NCBI View Article : Google Scholar
|
|
41
|
Macintyre N, Crapo RO, Viegi G, Johnson DC, van der Grinten CP, Brusasco V, Burgos F, Casaburi R, Coates A, Enright P, et al: Standardisation of the single-breath determination of carbon monoxide uptake in the lung. Eur Respir J. 26:720–735. 2005.PubMed/NCBI View Article : Google Scholar
|
|
42
|
Balamugesh T and Herth FJ: Endobronchial ultrasound: A new innovation in bronchoscopy. Lung India. 26:17–21. 2009.PubMed/NCBI View Article : Google Scholar
|
|
43
|
Steward M and Dickson C: Sonography Endobronchial Assessment, Protocols, and Interpretation. In: StatPearls. StatPearls Publishing, Treasure Island, FL, 2024. Available from: https://www.ncbi.nlm.nih.gov/books/NBK570578/.
|
|
44
|
Jalil BA, Yasufuku K and Khan AM: Uses, limitations, and complications of endobronchial ultrasound. Proc (Bayl Univ Med Cent). 28:325–330. 2015.PubMed/NCBI View Article : Google Scholar
|
|
45
|
Chandrika S and Yarmus L: Recent developments in advanced diagnostic bronchoscopy. Eur Respir Rev. 29(190184)2020.PubMed/NCBI View Article : Google Scholar
|
|
46
|
Kushida CA, Littner MR, Morgenthaler T, Alessi CA, Bailey D, Coleman J Jr, Friedman L, Hirshkowitz M, Kapen S, Kramer M, et al: Practice parameters for the indications for polysomnography and related procedures: An update for 2005. Sleep. 28:499–521. 2005.PubMed/NCBI View Article : Google Scholar
|
|
47
|
Medical Advisory Secretariat. Polysomnography in patients with obstructive sleep apnea: An evidence-based analysis. Ont Health Technol Assess Ser. 6:1–38. 2006.PubMed/NCBI
|
|
48
|
Rundo JV and Downey R III: Polysomnography. Handb Clin Neurol. 160:381–392. 2019.PubMed/NCBI View Article : Google Scholar
|
|
49
|
Huang YS, Guilleminault C, Lin CH, Chen CH, Chin WC and Chen TS: Multiple sleep latency test in narcolepsy type 1 and narcolepsy type 2: A 5-year follow-up study. J Sleep Res. 27(e12700)2018.PubMed/NCBI View Article : Google Scholar
|
|
50
|
Kwon Y, Kazaglis L, Cho Y, Howell MJ and Mahowald MW: Test-retest reliability of two consecutive mean sleep latency tests in patients with hypersomnia. Sleep Biol Rhythms. 15:337–339. 2017.PubMed/NCBI View Article : Google Scholar
|
|
51
|
Dauvilliers Y, Arnulf I and Mignot E: Narcolepsy with cataplexy. Lancet. 369:499–511. 2007.PubMed/NCBI View Article : Google Scholar
|
|
52
|
Liu H, Wang D, Li Y, Li Z, Zhang Y, Lei F, Du L and Tang X: Examination of daytime sleepiness and cognitive performance testing in patients with primary insomnia. PLoS One. 9(e100965)2014.PubMed/NCBI View Article : Google Scholar
|
|
53
|
Mojebi A, Wu P, Keeping S, Hale B, Chase JG and Beaubrun A: Clinical impact of rapid molecular diagnostic tests in patients presenting with viral respiratory symptoms: A systematic literature review. PLoS One. 19(e0303560)2024.PubMed/NCBI View Article : Google Scholar
|
|
54
|
Zhu N and Wong PK: Advances in viral diagnostic technologies for combating COVID-19 and future pandemics. SLAS Technol. 25:513–521. 2020.PubMed/NCBI View Article : Google Scholar
|
|
55
|
Mühlethaler K, Bögli-Stuber K, Wasmer S, von Garnier C, Dumont P, Rauch A, Mühlemann K and Garzoni C: Quantitative PCR to diagnose pneumocystis pneumonia in immunocompromised non-HIV patients. Eur Respir J. 39:971–978. 2012.PubMed/NCBI View Article : Google Scholar
|
|
56
|
Blumenfeld NR, Bolene MAE, Jaspan M, Ayers AG, Zarrandikoetxea S, Freudman J, Shah N, Tolwani AM, Hu Y, Chern TL, et al: Multiplexed reverse-transcriptase quantitative polymerase chain reaction using plasmonic nanoparticles for point-of-care COVID-19 diagnosis. Nat Nanotechnol. 17:984–992. 2022.PubMed/NCBI View Article : Google Scholar
|
|
57
|
Choi JH, Nahm DH, Kim SH, Kim YS, Suh CH, Park HS and Ahn SW: Increased levels of IgG to cytokeratin 19 in sera of patients with toluene diisocyanate-induced asthma. Ann Allergy Asthma Immunol. 93:293–298. 2004.PubMed/NCBI View Article : Google Scholar
|
|
58
|
Gill P and Ghaemi A: Nucleic acid isothermal amplification technologies: A review. Nucleosides Nucleotides Nucleic Acids. 27:224–243. 2008.PubMed/NCBI View Article : Google Scholar
|
|
59
|
Saiki RK, Gelfand DH, Stoffel S, Scharf SJ, Higuchi R, Horn GT, Mullis KB and Erlich HA: Primer-directed enzymatic amplification of DNA with a thermostable DNA polymerase. Science. 239:487–491. 1988.PubMed/NCBI View Article : Google Scholar
|
|
60
|
Bartlett JM and Stirling D: A short history of the polymerase chain reaction. Methods Mol Biol. 226:3–6. 2003.PubMed/NCBI View Article : Google Scholar
|
|
61
|
Mullis KB and Faloona FA: Specific synthesis of DNA in vitro via a polymerase-catalyzed chain reaction. Methods Enzymol. 155:335–350. 1987.PubMed/NCBI View Article : Google Scholar
|
|
62
|
Cutting GR: Cystic fibrosis genetics: From molecular understanding to clinical application. Nat Rev Genet. 16:45–56. 2015.PubMed/NCBI View Article : Google Scholar
|
|
63
|
Metzker ML: Sequencing technologies-the next generation. Nat Rev Genet. 11:31–46. 2010.PubMed/NCBI View Article : Google Scholar
|
|
64
|
Mardis ER: Next-generation DNA sequencing methods. Annu Rev Genomics Hum Genet. 9:387–402. 2008.PubMed/NCBI View Article : Google Scholar
|
|
65
|
Inagaki M, Uchiyama M, Yoshikawa-Kawabe K, Ito M, Murakami H, Gunji M, Minoshima M, Kohnoh T, Ito R, Kodama Y, et al: Comprehensive circulating microRNA profile as a supersensitive biomarker for early-stage lung cancer screening. J Cancer Res Clin Oncol. 149:8297–8305. 2023.PubMed/NCBI View Article : Google Scholar
|
|
66
|
Campbell JD, McDonough JE, Zeskind JE, Hackett TL, Pechkovsky DV, Brandsma CA, Suzuki M, Gosselink JV, Liu G, Alekseyev YO, et al: A gene expression signature of emphysema-related lung destruction and its reversal by the tripeptide GHK. Genome Med. 4(67)2012.PubMed/NCBI View Article : Google Scholar
|
|
67
|
Woodruff PG, Modrek B, Choy DF, Jia G, Abbas AR, Ellwanger A, Koth LL, Arron JR and Fahy JV: T-helper type 2-driven inflammation defines major subphenotypes of asthma. Am J Respir Crit Care Med. 180:388–395. 2009.PubMed/NCBI View Article : Google Scholar
|
|
68
|
Hersh CP: Pharmacogenetics of chronic obstructive pulmonary disease: Challenges and opportunities. Pharmacogenomics. 11:237–247. 2010.PubMed/NCBI View Article : Google Scholar
|
|
69
|
Dweik RA, Boggs PB, Erzurum SC, Irvin CG, Leigh MW, Lundberg JO, Olin AC, Plummer AL and Taylor DR: American Thoracic Society Committee on Interpretation of Exhaled Nitric Oxide Levels (FENO) for Clinical Applications. An official ATS clinical practice guideline: Interpretation of exhaled nitric oxide levels (FENO) for clinical applications. Am J Respir Crit Care Med. 184:602–615. 2011.PubMed/NCBI View Article : Google Scholar
|
|
70
|
Fens N, van der Schee MP, Brinkman P and Sterk PJ: Exhaled breath analysis by electronic nose in airways disease. Established issues and key questions. Clin Exp Allergy. 43:705–715. 2013.PubMed/NCBI View Article : Google Scholar
|
|
71
|
Sin DD, McAlister FA, Man SF and Anthonisen NR: Contemporary management of chronic obstructive pulmonary disease. JAMA. 290:2301–2312. 2003.PubMed/NCBI View Article : Google Scholar
|
|
72
|
Gan WQ, Man SF, Senthilselvan A and Sin DD: Association between chronic obstructive pulmonary disease and systemic inflammation: A systematic review and a meta-analysis. Thorax. 59:574–580. 2004.PubMed/NCBI View Article : Google Scholar
|
|
73
|
Agustí A, Edwards LD, Rennard SI, MacNee W, Tal-Singer R, Miller BE, Vestbo J, Lomas DA, Calverley PM, Wouters E, et al: Persistent systemic inflammation is associated with poor clinical outcomes in COPD: A novel phenotype. PLoS One. 7(e37483)2012.PubMed/NCBI View Article : Google Scholar
|
|
74
|
Pizzichini E, Pizzichini MM, Efthimiadis A, Hargreave FE and Dolovich J: Measurement of inflammatory indices in induced sputum: Effects of selection of sputum to minimize salivary contamination. Eur Respir J. 9:1174–1180. 1996.PubMed/NCBI View Article : Google Scholar
|
|
75
|
Corradi M, Pignatti P, Manini P, Andreoli R, Goldoni M, Poppa M, Moscato G, Balbi B and Mutti A: Comparison between exhaled and sputum oxidative stress biomarkers in chronic airway inflammation. Eur Respir J. 24:1011–1017. 2004.PubMed/NCBI View Article : Google Scholar
|
|
76
|
Djukanović R, Sterk PJ, Fahy JV and Hargreave FE: Standardised methodology of sputum induction and processing. Eur Respir J Suppl. 37:1s–2s. 2002.PubMed/NCBI View Article : Google Scholar
|
|
77
|
Brightling CE, Monterio W, Green RH, Parker D, Morgan MD, Wardlaw AJ and Pavord D: Induced sputum and other outcome measures in chronic obstructive pulmonary disease: Safety and repeatability. Respir Med. 95:999–1002. 2001.PubMed/NCBI View Article : Google Scholar
|
|
78
|
Stockley RA, O'Brien C, Pye A and Hill SL: Relationship of sputum color to nature and outpatient management of acute exacerbations of COPD. Chest. 117:1638–1645. 2000.PubMed/NCBI View Article : Google Scholar
|
|
79
|
Efthimiadis A, Spanevello A, Hamid Q, Kelly MM, Linden M, Louis R, Pizzichini MM, Pizzichini E, Ronchi C, Van Overvel F and Djukanović R: Methods of sputum processing for cell counts, immunocytochemistry and in situ hybridisation. Eur Respir J Suppl. 37:19s–23s. 2002.PubMed/NCBI View Article : Google Scholar
|
|
80
|
Gustafsson LE, Leone AM, Persson MG, Wiklund NP and Moncada S: Endogenous nitric oxide is present in the exhaled air of rabbits, guinea pigs and humans. Biochem Biophys Res Commun. 181:852–857. 1991.PubMed/NCBI View Article : Google Scholar
|
|
81
|
Alving K, Weitzberg E and Lundberg JM: Increased amount of nitric oxide in exhaled air of asthmatics. Eur Respir J. 6:1368–1370. 1993.PubMed/NCBI
|
|
82
|
Kharitonov SA, Yates D, Robbins RA, Logan-Sinclair R, Shinebourne EA and Barnes PJ: Increased nitric oxide in exhaled air of asthmatic patients. Lancet. 343:133–135. 1994.PubMed/NCBI View Article : Google Scholar
|
|
83
|
American Thoracic Society; European Respiratory Society. ATS/ERS recommendations for standardized procedures for the online and offline measurement of exhaled lower respiratory nitric oxide and nasal nitric oxide, 2005. Am J Respir Crit Care Med. 171:912–930. 2005.PubMed/NCBI View Article : Google Scholar
|
|
84
|
Kharitonov SA, Yates D and Barnes PJ: Increased nitric oxide in exhaled air of normal human subjects with upper respiratory tract infections. Eur Respir J. 8:295–297. 1995.PubMed/NCBI View Article : Google Scholar
|
|
85
|
Połomska J, Bar K and Sozańska B: Exhaled breath condensate-A non-invasive approach for diagnostic methods in asthma. J Clin Med. 10(2697)2021.PubMed/NCBI View Article : Google Scholar
|
|
86
|
Gordon SM, Szidon JP, Krotoszynski BK, Gibbons RD and O'Neill HJ: Volatile organic compounds in exhaled air from patients with lung cancer. Clin Chem. 31:1278–1282. 1985.PubMed/NCBI
|
|
87
|
Ratiu IA, Ligor T, Bocos-Bintintan V, Mayhew CA and Buszewski B: Volatile organic compounds in exhaled breath as fingerprints of lung cancer, asthma, and COPD. J Clin Med. 10(32)2020.PubMed/NCBI View Article : Google Scholar
|
|
88
|
Pépin JL, Degano B, Tamisier R and Viglino D: Remote monitoring for prediction and management of acute exacerbations in chronic obstructive pulmonary disease (AECOPD). Life (Basel). 12(499)2022.PubMed/NCBI View Article : Google Scholar
|
|
89
|
Almasi S, Shahbodaghi A and Asadi F: Efficacy of telemedicine for the management of asthma: a systematic review. Tanaffos. 21:132–145. 2022.PubMed/NCBI
|
|
90
|
Gaveikaite V, Fischer C, Schonenberg H, Pauws S, Kitsiou S, Chouvarda I, Chouvarda I, Maglaveras N and Roca J: Telehealth for patients with chronic obstructive pulmonary disease (COPD): A systematic review and meta-analysis protocol. BMJ Open. 8(e021865)2018.PubMed/NCBI View Article : Google Scholar
|
|
91
|
Cruz-Correia R, Fonseca J, Lima L, Araújo L, Delgado L, Castel-Branco MG and Costa-Pereira A: Web-based or paper-based self-management tools for asthma-patients' opinions and quality of data in a randomized crossover study. Stud Health Technol Inform. 127:178–189. 2007.PubMed/NCBI
|
|
92
|
McLean S, Protti D and Sheikh A: Telehealthcare for long term conditions. BMJ. 342(d120)2011.PubMed/NCBI View Article : Google Scholar
|
|
93
|
Snoswell CL, Taylor ML, Comans TA, Smith AC, Gray LC and Caffery LJ: Determining if telehealth can reduce health system costs: scoping review. J Med Internet Res. 22(e17298)2020.PubMed/NCBI View Article : Google Scholar
|
|
94
|
Seto E: Cost comparison between telemonitoring and usual care of heart failure: A systematic review. Telemed J E Health. 14:679–686. 2008.PubMed/NCBI View Article : Google Scholar
|
|
95
|
Stoddart A, van der Pol M, Pinnock H, Hanley J, McCloughan L, Todd A, Krishan A and McKinstry B: Telemonitoring for chronic obstructive pulmonary disease: A cost and cost-utility analysis of a randomised controlled trial. J Telemed Telecare. 21:108–118. 2015.PubMed/NCBI View Article : Google Scholar
|
|
96
|
Hilty DM, Ferrer DC, Parish MB, Johnston B, Callahan EJ and Yellowlees PM: The effectiveness of telemental health: A 2013 review. Telemed J E Health. 19:444–454. 2013.PubMed/NCBI View Article : Google Scholar
|
|
97
|
Wootton R: Twenty years of telemedicine in chronic disease management-an evidence synthesis. J Telemed Telecare. 18:211–220. 2012.PubMed/NCBI View Article : Google Scholar
|
|
98
|
Craig J and Patterson V: Introduction to the practice of telemedicine. J Telemed Telecare. 11:3–9. 2005.PubMed/NCBI View Article : Google Scholar
|
|
99
|
Wade VA, Eliott JA and Hiller JE: Clinician acceptance is the key factor for sustainable telehealth services. Qual Health Res. 24:682–694. 2014.PubMed/NCBI View Article : Google Scholar
|
|
100
|
Darkins A, Ryan P, Kobb R, Foster L, Edmonson E, Wakefield B and Lancaster AE: Care coordination/home telehealth: the systematic implementation of health informatics, home telehealth, and disease management to support the care of veteran patients with chronic conditions. Telemed J E Health. 14:1118–1126. 2008.PubMed/NCBI View Article : Google Scholar
|
|
101
|
Bashshur RL, Shannon GW, Smith BR, Alverson DC, Antoniotti N, Barsan WG, Bashshur N, Brown EM, Coye MJ, Doarn CR, et al: The empirical foundations of telemedicine interventions for chronic disease management. Telemed J E Health. 20:769–800. 2014.PubMed/NCBI View Article : Google Scholar
|
|
102
|
Haleem A, Javaid M, Singh RP and Suman R: Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sens Int. 2(100117)2021.PubMed/NCBI View Article : Google Scholar
|
|
103
|
Topol EJ: High-performance medicine: The convergence of human and artificial intelligence. Nat Med. 25:44–56. 2019.PubMed/NCBI View Article : Google Scholar
|
|
104
|
Georgakopoulou VE: The role of artificial intelligence in combatting respiratory tract infections. Cureus. 16(e63635)2024.PubMed/NCBI View Article : Google Scholar
|
|
105
|
Pascoe S, Locantore N, Dransfield MT, Barnes NC and Pavord ID: Blood eosinophil counts, exacerbations, and response to the addition of inhaled fluticasone furoate to vilanterol in patients with chronic obstructive pulmonary disease: A secondary analysis of data from two parallel randomised controlled trials. Lancet Respir Med. 3:435–442. 2015.PubMed/NCBI View Article : Google Scholar
|
|
106
|
Chandran U, Reps J, Yang R, Vachani A, Maldonado F and Kalsekar I: Machine learning and real-world data to predict lung cancer risk in routine care. Cancer Epidemiol Biomarkers Prev. 32:337–343. 2023.PubMed/NCBI View Article : Google Scholar
|
|
107
|
Beam AL and Kohane IS: Big data and machine learning in health care. JAMA. 319:1317–1318. 2018.PubMed/NCBI View Article : Google Scholar
|
|
108
|
Chen JH and Asch SM: Machine learning and prediction in medicine-beyond the peak of inflated expectations. N Engl J Med. 376:2507–2509. 2017.PubMed/NCBI View Article : Google Scholar
|
|
109
|
Bramley TJ, Lerner D and Sames M: Productivity losses related to the common cold. J Occup Environ Med. 44:822–829. 2002.PubMed/NCBI View Article : Google Scholar
|
|
110
|
Daniels JM, Schoorl M, Snijders D, Knol DL, Lutter R, Jansen HM and Boersma WG: Procalcitonin vs C-reactive protein as predictive markers of response to antibiotic therapy in acute exacerbations of COPD. Chest. 138:1108–1115. 2010.PubMed/NCBI View Article : Google Scholar
|
|
111
|
Bossuyt PM, Reitsma JB, Linnet K and Moons KG: Beyond diagnostic accuracy: The clinical utility of diagnostic tests. Clin Chem. 58:1636–1643. 2012.PubMed/NCBI View Article : Google Scholar
|
|
112
|
Szefler SJ, Wenzel S, Brown R, Erzurum SC, Fahy JV, Hamilton RG, Hunt JF, Kita H, Liu AH, Panettieri RA Jr, et al: Asthma outcomes: Biomarkers. J Allergy Clin Immunol. 129 (Suppl 3):S9–S23. 2012.PubMed/NCBI View Article : Google Scholar
|
|
113
|
Ambrosino N and Vagheggini G: Non-invasive ventilation in exacerbations of COPD. Int J Chron Obstruct Pulmon Dis. 2:471–476. 2007.PubMed/NCBI
|
|
114
|
Murphy PB, Rehal S, Arbane G, Bourke S, Calverley PMA, Crook AM, Dowson L, Duffy N, Gibson GJ, Hughes PD, et al: Effect of home noninvasive ventilation with oxygen therapy vs oxygen therapy alone on hospital readmission or death after an acute COPD exacerbation: A randomized clinical trial. JAMA. 317:2177–2186. 2017.PubMed/NCBI View Article : Google Scholar
|
|
115
|
Plant PK, Owen JL and Elliott MW: Early use of non-invasive ventilation for acute exacerbations of COPD on general respiratory wards: A multicentre randomised controlled trial. Lancet. 355:1931–1935. 2000.PubMed/NCBI View Article : Google Scholar
|
|
116
|
Poletti V, Chilosi M and Olivieri D: Diagnostic invasive procedures in diffuse infiltrative lung diseases. Respiration. 71:107–119. 2004.PubMed/NCBI View Article : Google Scholar
|
|
117
|
Cooper WA, Lam DC, O'Toole SA and Minna JD: Molecular biology of lung cancer. J Thorac Dis. 5 (Suppl 5):S479–S490. 2013.PubMed/NCBI View Article : Google Scholar
|
|
118
|
Kebbe J and Abdo T: Interstitial lung disease: The diagnostic role of bronchoscopy. J Thorac Dis. 9 (Suppl 10):S996–S1010. 2017.PubMed/NCBI View Article : Google Scholar
|
|
119
|
Rivera MP, Mehta AC and Wahidi MM: Establishing the diagnosis of lung cancer: Diagnosis and management of lung cancer, 3rd ed: American college of chest physicians evidence-based clinical practice guidelines. Chest. 143 (Suppl 5):e142S–e165S. 2013.PubMed/NCBI View Article : Google Scholar
|
|
120
|
Chen LC, Yang SM, Malwade S, Chang HC, Chang LK, Chung WY, Ko JC and Yu CJ: Cone-beam computed-tomography-derived augmented fluoroscopy-guided biopsy for peripheral pulmonary nodules in a hybrid operating room: A case series. Diagnostics (Basel). 13(1055)2023.PubMed/NCBI View Article : Google Scholar
|
|
121
|
Bae S, Lim S, Ahn JJ, Jegal Y, Seo KW, Ra SW, Kang BJ, Kim JH, Park SE, Han I, et al: Diagnosing peripheral lung lesions using endobronchial ultrasonography with guide sheath: A prospective registry study to assess the effect of virtual bronchoscopic navigation using a computed tomography workstation. Medicine (Baltimore). 99(e19870)2020.PubMed/NCBI View Article : Google Scholar
|
|
122
|
Aravena C, Almeida FA, Culver DA and Neto ML: The utility of endobronchial ultrasound-transbronchial needle aspiration in patients with suspected extra-pulmonary sarcoidosis without thoracic lymphadenopathy. Respir Med. 171(106074)2020.PubMed/NCBI View Article : Google Scholar
|
|
123
|
de Koning HJ, van der Aalst CM, de Jong PA, Scholten ET, Nackaerts K, Heuvelmans MA, Lammers JJ, Weenink C, Yousaf-Khan U, Horeweg N, et al: Reduced lung-cancer mortality with volume CT screening in a randomized trial. N Engl J Med. 382:503–513. 2020.PubMed/NCBI View Article : Google Scholar
|
|
124
|
Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM and Sicks JD: Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 365:395–409. 2011.PubMed/NCBI View Article : Google Scholar
|
|
125
|
Mazzone PJ, Obuchowski N, Fu AZ, Phillips M and Meziane M: Quality of life and healthcare use in a randomized controlled lung cancer screening study. Ann Am Thorac Soc. 10:324–329. 2013.PubMed/NCBI View Article : Google Scholar
|
|
126
|
Guerreiro T, Aguiar P and Araújo A: Current evidence for a lung cancer screening program. Port J Public Health. 42:133–158. 2024.PubMed/NCBI View Article : Google Scholar
|
|
127
|
McCarthy B, Casey D, Devane D, Murphy K, Murphy E and Lacasse Y: Pulmonary rehabilitation for chronic obstructive pulmonary disease. Cochrane Database Syst Rev. 2015(CD003793)2015.PubMed/NCBI View Article : Google Scholar
|
|
128
|
Spruit MA, Singh SJ, Garvey C, ZuWallack R, Nici L, Rochester C, Hill K, Holland AE, Lareau SC, Man WD, et al: An official American Thoracic Society/European respiratory society statement: Key concepts and advances in pulmonary rehabilitation. Am J Respir Crit Care Med. 188:e13–e64. 2013.PubMed/NCBI View Article : Google Scholar
|
|
129
|
Man WD, Polkey MI, Donaldson N, Gray BJ and Moxham J: Community pulmonary rehabilitation after hospitalisation for acute exacerbations of chronic obstructive pulmonary disease: randomised controlled study. BMJ. 329(1209)2004.PubMed/NCBI View Article : Google Scholar
|
|
130
|
Puhan MA, Gimeno-Santos E, Cates CJ and Troosters T: Pulmonary rehabilitation following exacerbations of chronic obstructive pulmonary disease. Cochrane Database Syst Rev. 12(CD005305)2016.PubMed/NCBI View Article : Google Scholar
|
|
131
|
Jones PW, Harding G, Berry P, Wiklund I, Chen WH and Leidy NK: Development and first validation of the COPD assessment test. Eur Respir J. 34:648–654. 2009.PubMed/NCBI View Article : Google Scholar
|
|
132
|
Cergan R, Dumitru M, Vrinceanu D, Neagos A, Jeican II and Ciuluvica RC: Ultrasonography of the larynx: Novel use during the SARS-CoV-2 pandemic (Review). Exp Ther Med. 21(273)2021.PubMed/NCBI View Article : Google Scholar
|