|
1
|
Marshall JE, Mercaldo RA, Lipner EM and
Prevots DR: Incidence of nontuberculous mycobacteria infections
among persons with cystic fibrosis in the United States
(2010-2019). BMC Infect Dis. 23(489)2023.PubMed/NCBI View Article : Google Scholar
|
|
2
|
Dahl VN, Fløe A and Wejse C:
Nontuberculous mycobacterial infections in a Danish region between
2011 and 2021: Evaluation of trends in diagnostic codes. Infect Dis
(Lond). 55:439–443. 2023.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Khan K, Wang J and Marras TK:
Nontuberculous mycobacterial sensitization in the United States:
National trends over three decades. Am J Respir Crit Care Med.
176:306–313. 2007.PubMed/NCBI View Article : Google Scholar
|
|
4
|
Khan K, Wang J, Hu W, Bierman A, Li Y and
Gardam M: Tuberculosis infection in the United States: National
trends over three decades. Am J Respir Crit Care Med. 177:455–460.
2008.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Marras TK, Chedore P, Ying AM and Jamieson
F: Isolation prevalence of pulmonary non-tuberculous mycobacteria
in Ontario, 1997 2003. Thorax. 62:661–666. 2007.PubMed/NCBI View Article : Google Scholar
|
|
6
|
Thornton CS, Mellett M, Jarand J, Barss L,
Field SK and Fisher DA: The respiratory microbiome and
nontuberculous mycobacteria: An emerging concern in human health.
Eur Respir Rev. 30(200299)2021.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Chinese Medical Association Tuberculosis
Branch, Editorial Board of Chinese Journal of Tuberculosis and
Respiratory Medicine. Expert consensus on diagnosis and treatment
of nontuberculous mycobacterial disease. Chin J Tubercul Respir
Dis. 35:572–580. 2012.
|
|
8
|
Gopalaswamy R, Shanmugam S, Mondal R and
Subbian S: Of tuberculosis and non-tuberculous mycobacterial
infections-a comparative analysis of epidemiology, diagnosis and
treatment. J Biomed Sci. 27(74)2020.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Cao P, Liu F and Li H: Clinical analysis
of 58 cases of non-tuberculous mycobacteria. Chongqing Med J.
43:854–856. 2014.(In Chinese).
|
|
10
|
Chu HQ, Li B, Zhao L, Huang DD, Zhang ZM,
Xu JF, Zhang JB, Gui T, Xu LY and Sun XW: Chest imaging comparison
between non-tuberculous and tuberculosis mycobacteria in sputum
acid fast bacilli smear-positive patients. Eur Rev Med Pharmacol
Sci. 19:2429–2439. 2015.PubMed/NCBI View Article : Google Scholar
|
|
11
|
You Z and Zhu X: CT findings of pulmonary
nontuberculous mycobacterial disease. Chin J Clin Med Imaging.
16:141–143. 2005.
|
|
12
|
Dai J, Shi J and Liang L: Comparison of CT
findings between non tuberculous mycobacterial lung disease and
secondary pulmonary tuberculosis. Chin J Tubercul. 36:706–709.
2014.
|
|
13
|
Ma J, Zhou Z, Ren Y, Xiong J, Fu L, Wang Q
and Zhao J: Computerized detection of lung nodules through
radiomics. Med Phys. 44:4148–4158. 2017.PubMed/NCBI View
Article : Google Scholar
|
|
14
|
Coroller TP, Agrawal V, Huynh E, Narayan
V, Lee SW, Mak RH and Aerts HJWL: Radiomic-based pathological
response prediction from primary tumors and lymph nodes in NSCLC. J
Thorac Oncol. 12:467–476. 2017.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Wittram C and Weisbrod GL: Mycobacterium
avium complex lung disease in immunocompetent patients:
Radiography-CT correlation. Br J Radiol. 75:340–344.
2002.PubMed/NCBI View Article : Google Scholar
|
|
16
|
Guo H: To explore the clinical value of CT
in the diagnosis and clinicopathological classification of
peripheral small lung cancer. China Contin Med Educ. 8(48)2016.(In
Chinese).
|
|
17
|
Daley CL, Iaccarino JM, Lange CG, Cambau
E, Wallace RJ Jr, Andrejak C, Böttger EC, Brozek J, Griffith DE,
Guglielmetti L, et al: Treatment of nontuberculous mycobacterial
pulmonary disease: An official ATS/ERS/ESCMID/IDSA clinical
practice guideline. Eur Respir J. 56(2000535)2020.PubMed/NCBI View Article : Google Scholar
|
|
18
|
Liu E, Zhou L and Wang L: Comprehensively
interpret the standards of 'ws 196-2017 tuberculosis
classification. Chin J Tubercul Prev. 40(5)2018.(In Chinese).
|
|
19
|
Wang Y, Lu B, Liu J, Xiao T, Wan K and
Guan C: A multicenter clinical evaluation of Mycobacterium
tuberculosis IgG/IgM antibody detection using the colloidal
gold method. Eur J Clin Microbiol Infect Dis. 33:1989–1994.
2014.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Lambin P, Rios-Velazquez E, Leijenaar R,
Carvalho S, van Stiphout RG, Granton P, Zegers CM, Gillies R,
Boellard R, Dekker A and Aerts HJ: Radiomics: Extracting more
information from medical images using advanced feature analysis.
Eur J Cancer. 48:441–446. 2012.PubMed/NCBI View Article : Google Scholar
|
|
21
|
Akman DV, Malekipirbazari M, Yenice ZD,
Yeo A, Adhikari N, Wong YK, Abbasi B and Gumus AT: K-best feature
selection and ranking via stochastic approximation. Expert Syst
Appl. 213(118864)2023.
|
|
22
|
Choi H, Song E, Hwang SS and Lee W: A
modified generalized lasso algorithm to detect local spatial
clusters for count data. AStA Adv Stat Anal. 102:537–563. 2018.
|
|
23
|
Sun H, Zhou P, Chen G, Dai Z, Song P and
Yao J: Radiomics nomogram for the prediction of Ki-67 index in
advanced non-small cell lung cancer based on dual-phase enhanced
computed tomography. J Cancer Res Clin Oncol. 149:9301–9315.
2023.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Hapsari DP, Utoyo I and Purnami SW:
Support vector machine optimization with fractional gradient
descent for data classification. J Appl Sci Manag Eng Technol.
2:1–6. 2021.
|
|
25
|
Zhou Z: Machine learning. Tsinghua
University Press, pp121-139, 298-300, 2016.
|
|
26
|
Wang L, Ding W, Mo Y, Shi D, Zhang S,
Zhong L, Wang K, Wang J, Huang C, Zhang S, et al: Distinguishing
nontuberculous mycobacteria from Mycobacterium tuberculosis
lung disease from CT images using a deep learning framework. Eur J
Nucl Med Mol Imaging. 8:4293–4306. 2021.PubMed/NCBI View Article : Google Scholar
|
|
27
|
Biondi G, Sotgiu G, Dore S, Molicotti P,
Ruggeri M, Aliberti S and Satta R: Beyond pulmonary nontuberculous
mycobacteria disease: Do extra-pulmonary forms represent an
emerging clinical and public health threat? ERJ Open Res.
3:00091–2017. 2017.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Aboagye SY, Danso E, Ampah KA, Nakobu Z,
Asare P, Otchere ID, Röltgen K, Yirenya-Tawiah D and Yeboah-Manu D:
Isolation of nontuberculous mycobacteria from the environment of
ghanian communities where buruli ulcer is endemic. Appl Environ
Microbiol. 82:4320–4329. 2016.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Chen CY, Chen HY, Chou CH, Huang CT, Lai
CC and Hsueh PR: Pulmonary infection caused by nontuberculous
mycobacteria in a medical center in Taiwan, 2005-2008. Diagn
Microbiol Infect Dis. 72:47–51. 2012.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Vinnard C, Longworth S, Mezochow A,
Patrawalla A, Kreiswirth BN and Hamilton K: Deaths related to
nontuberculous mycobacterial infections in the United States,
1999-2014. Ann Am Thorac Soc. 13:1951–1955. 2016.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Ringshausen FC, Wagner D, de Roux A, Diel
R, Hohmann D, Hickstein L, Welte T and Rademacher J: Prevalence of
nontuberculous mycobacterial pulmonary disease, Germany, 2009-2014.
Emerg Infect Dis. 22:1102–1105. 2016.PubMed/NCBI View Article : Google Scholar
|
|
32
|
Marras TK, Campitelli MA, Lu H, Chung H,
Brode SK, Marchand-Austin A, Winthrop KL, Gershon AS, Kwong JC and
Jamieson FB: Pulmonary nontuberculous mycobacteria-associated
deaths, Ontario, Canada, 2001-2013. Emerg Infect Dis. 23:468–476.
2017.PubMed/NCBI View Article : Google Scholar
|
|
33
|
Jing H, Wang H, Wang Y, Deng Y, Li X, Liu
Z, Graviss EA and Ma X: Prevalence of nontuberculous mycobacteria
infection, China, 2004-2009. Emerg Infect Dis. 18:527–528.
2012.PubMed/NCBI View Article : Google Scholar
|
|
34
|
Eisenberg I, Yasin A, Fuks L, Stein N,
Saliba W, Kramer MR, Adir Y and Shteinberg M: Radiologic
characteristics of non-tuberculous mycobacteria infection in
patients with bronchiectasis. Lung. 198:715–722. 2020.PubMed/NCBI View Article : Google Scholar
|
|
35
|
Kwak N, Lee JH, Kim HJ, Kim SA and Yim JJ:
New-onset nontuberculous mycobacterial pulmonary disease in
bronchiectasis: Tracking the clinical and radiographic changes. BMC
Pulm Med. 20(293)2020.PubMed/NCBI View Article : Google Scholar
|
|
36
|
Koh WJ, Lee KS, Kwon OJ, Jeong YJ, Kwak SH
and Kim TS: Bilateral bronchiectasis and bronchiolitis at
thin-section CT: Diagnostic implications in nontuberculous
mycobacterial pulmonary infection. Radiology. 235:282–288.
2005.PubMed/NCBI View Article : Google Scholar
|
|
37
|
Aksamit TR, Philley JV and Griffith DE:
Nontuberculous mycobacterial (NTM) lung disease: The top ten
essentials. Respir Med. 108:417–425. 2014.PubMed/NCBI View Article : Google Scholar
|
|
38
|
Marchevsky A, Damsker B, Gribetz A, Tepper
S and Geller SA: The spectrum of pathology of nontuberculous
mycobacterial infections in open-lung biopsy specimens. Am J Clin
Pathol. 78:695–700. 1982.PubMed/NCBI View Article : Google Scholar
|
|
39
|
Goodwin RA Jr and Snell JD Jr: The
enlarging histoplasmoma. Concept of a tumor-like phenomenon
encompassing the tuberculoma and coccidioidoma. Am Rev Respir Dis.
100:1–12. 1969.PubMed/NCBI View Article : Google Scholar
|
|
40
|
Mukhopadhyay S and Gal AA: Granulomatous
lung disease: An approach to the differential diagnosis. Arch
Pathol Lab Med. 134:667–690. 2010.PubMed/NCBI View Article : Google Scholar
|
|
41
|
Mukhopadhyay S: Role of histology in the
diagnosis of infectious causes of granulomatous lung disease. Curr
Opin Pulm Med. 17:189–196. 2011.PubMed/NCBI View Article : Google Scholar
|
|
42
|
Mu J, Liu Z and Zhang C: Pathological
characteristics of nontuberculous Mycobacterium tuberculosis
and the value of molecular pathology in its diagnosis. Chin J
Pathol. 49:562–567. 2020.PubMed/NCBI View Article : Google Scholar
|
|
43
|
O'Leary S, O'Sullivan MP and Keane J:
IL-10 blocks phagosome maturation in Mycobacterium
tuberculosis-infected human macrophages. Am J Respir Cell Mol
Biol. 45:172–180. 2011.PubMed/NCBI View Article : Google Scholar
|
|
44
|
Jannotta FS and Sidawy MK: The recognition
of mycobacterial infections by intraoperative cytology in patients
with acquired immunodeficiency syndrome. Arch Pathol Lab Med.
113:1120–1123. 1989.PubMed/NCBI
|
|
45
|
Marinelli DL, Albelda SM, Williams TM,
Kern JA, Iozzo RV and Miller WT: Nontuberculous mycobacterial
infection in AIDS: Clinical, pathologic, and radiographic features.
Radiology. 160:77–82. 1986.PubMed/NCBI View Article : Google Scholar
|
|
46
|
de la Pinta C: Radiomics in pancreatic
cancer for oncologist: Present and future. Hepatobiliary Pancreat
Dis Int. 21:356–361. 2022.PubMed/NCBI View Article : Google Scholar
|
|
47
|
Gulshan V, Peng L, Coram M, Stumpe MC, Wu
D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J,
et al: Development and validation of a deep learning algorithm for
detection of diabetic retinopathy in retinal fundus photographs.
JAMA. 316:2402–2410. 2016.PubMed/NCBI View Article : Google Scholar
|
|
48
|
Chae HD, Park CM, Park SJ, Lee SM, Kim KG
and Goo JM: Computerized texture analysis of persistent part-solid
ground-glass nodules: Differentiation of preinvasive lesions from
invasive pulmonary adenocarcinomas. Radiology. 273:285–293.
2014.PubMed/NCBI View Article : Google Scholar
|
|
49
|
Liu Y, Kim J, Balagurunathan Y, Li Q,
Garcia AL, Stringfield O, Ye Z and Gillies RJ: Radiomic features
are associated with EGFR mutation status in lung adenocarcinomas.
Clin Lung Cancer. 17:441–448.e6. 2016.PubMed/NCBI View Article : Google Scholar
|
|
50
|
Zhang T, Yuan M, Zhong Y, Zhang YD, Li H
and Wu JF: Differentiation of focal organising pneumonia and
peripheral adenocarcinoma in solid lung lesions using thin-section
CT-based radiomics. Clin Radiol. 74:78.e23–78.e30. 2019.PubMed/NCBI View Article : Google Scholar
|
|
51
|
Yanling W, Duo G, Zuojun G, Zhongqiang S,
Yankai W, Shan L and Hongying C: Radiomics nomogram analyses for
differentiating pneumonia and acute paraquat lung injury. Sci Rep.
9(15029)2019.PubMed/NCBI View Article : Google Scholar
|
|
52
|
Yan Q, Wang W, Zhao W, Zuo L, Wang D, Chai
X and Cui J: Differentiating nontuberculous mycobacterium pulmonary
disease from pulmonary tuberculosis through the analysis of the
cavity features in CT images using radiomics. BMC Pulm Med.
22(4)2022.PubMed/NCBI View Article : Google Scholar
|
|
53
|
Xing Z, Ding W, Zhang S, Zhong L, Wang L,
Wang J, Wang K, Xie Y, Zhao X, Li N and Ye Z: Machine
learning-based differentiation of nontuberculous mycobacteria lung
disease and pulmonary tuberculosis using CT images. Biomed Res Int.
2020(6287545)2020.PubMed/NCBI View Article : Google Scholar
|
|
54
|
Tan Y, Su B, Shu W, Cai X, Kuang S, Kuang
H, Liu J and Pang Y: Epidemiology of pulmonary disease due to
nontuberculous mycobacteria in Southern China, 2013-2016. BMC Pulm
Med. 18(168)2018.PubMed/NCBI View Article : Google Scholar
|
|
55
|
Maurya AK, Nag VL, Kant S, Kushwaha RAS,
Kumar M, Singh AK and Dhole TN: Prevalence of nontuberculous
mycobacteria among extrapulmonary tuberculosis cases in tertiary
care centers in Northern India. Biomed Res Int.
2015(465403)2015.PubMed/NCBI View Article : Google Scholar
|
