Skip to main content
Top
Published in: Insights into Imaging 1/2020

01-12-2020 | Magnetic Resonance Imaging | Educational Review

Imaging methods used in the assessment of environmental disease networks: a brief review for clinicians

Authors: Aime Cedillo-Pozos, Sergey K. Ternovoy, Ernesto Roldan-Valadez

Published in: Insights into Imaging | Issue 1/2020

Login to get access

Abstract

Background

Across the globe, diseases secondary to environmental exposures have been described, and it was also found that existing diseases have been modified by exposure to environmental chemicals or an environmental factor that has been found in their pathogenesis. The Institute of Medicine has shared a permanent concern related to the nations environmental health capacity since 1988.

Main body

Contemporary imaging methods in the last 15 years started reporting alterations in different human systems such as the central nervous system, cardiovascular system and pulmonary system among others; evidence suggests the existence of a human environmental disease network. The primary anatomic regions, affected by environmental diseases, recently assessed with imaging methods include Brain (lead exposure, cerebral stroke, pesticide neurotoxicity), uses MRI, DTI, carotid ultrasonography and MRS; Lungs (smoke inhalation, organophosphates poisoning) are mainly assessed with radiography; Gastrointestinal system (chronic inflammatory bowel disease), recent studies have reported the use of aortic ultrasound; Heart (myocardial infarction), its link to environmental diseased has been proved with carotid ultrasound; and Arteries (artery hypertension), the impairment of aortic mechanical properties has been revealed with the use of aortic and brachial ultrasound.

Conclusions

Environmental epidemiology has revealed that several organs and systems in the human body are targets of air pollutants. Current imaging methods that can assess the deleterious effects of pollutants includes a whole spectrum: radiography, US, CT and MRI. Future studies will help to reveal additional links among environmental disease networks.
Literature
1.
go back to reference Taboureau O, Audouze K (2017) Human environmental disease network: a computational model to assess toxicology of contaminants. ALTEX 34:289–300PubMedCrossRef Taboureau O, Audouze K (2017) Human environmental disease network: a computational model to assess toxicology of contaminants. ALTEX 34:289–300PubMedCrossRef
3.
go back to reference Litt JS, Wismann A, Resnick B, Dawson RS, Hano M, Burke TA (2007) Advancing health and environmental disease tracking: a 5-year follow-up study. Am J Public Health 97:456–463PubMedPubMedCentralCrossRef Litt JS, Wismann A, Resnick B, Dawson RS, Hano M, Burke TA (2007) Advancing health and environmental disease tracking: a 5-year follow-up study. Am J Public Health 97:456–463PubMedPubMedCentralCrossRef
4.
go back to reference Horton MK, Margolis AE, Tang C, Wright R (2014) Neuroimaging is a novel tool to understand the impact of environmental chemicals on neurodevelopment. Curr Opin Pediatr 26:230–236PubMedPubMedCentralCrossRef Horton MK, Margolis AE, Tang C, Wright R (2014) Neuroimaging is a novel tool to understand the impact of environmental chemicals on neurodevelopment. Curr Opin Pediatr 26:230–236PubMedPubMedCentralCrossRef
5.
go back to reference Kunzli N, Jerrett M, Mack WJ et al (2005) Ambient air pollution and atherosclerosis in Los Angeles. Environ Health Perspect 113:201–206PubMedCrossRef Kunzli N, Jerrett M, Mack WJ et al (2005) Ambient air pollution and atherosclerosis in Los Angeles. Environ Health Perspect 113:201–206PubMedCrossRef
6.
go back to reference Song JW, Jeong YJ, Kim KI et al (2013) Environmental lung diseases: clinical and imaging findings. Clin Radiol 68:310–316PubMedCrossRef Song JW, Jeong YJ, Kim KI et al (2013) Environmental lung diseases: clinical and imaging findings. Clin Radiol 68:310–316PubMedCrossRef
7.
go back to reference de Prado BP, Mercader EMH, Pujol J, Sunyer J, Mortamais M (2018) The effects of air pollution on the brain: a review of studies interfacing environmental epidemiology and neuroimaging. Curr Environ Health Rep 5:351–364CrossRef de Prado BP, Mercader EMH, Pujol J, Sunyer J, Mortamais M (2018) The effects of air pollution on the brain: a review of studies interfacing environmental epidemiology and neuroimaging. Curr Environ Health Rep 5:351–364CrossRef
9.
go back to reference Gac P, Poreba M, Pawlas K, Sobieszczanska M, Poreba R (2017) Influence of environmental tobacco smoke on morphology and functions of cardiovascular system assessed using diagnostic imaging. Inhal Toxicol 29:518–529PubMedCrossRef Gac P, Poreba M, Pawlas K, Sobieszczanska M, Poreba R (2017) Influence of environmental tobacco smoke on morphology and functions of cardiovascular system assessed using diagnostic imaging. Inhal Toxicol 29:518–529PubMedCrossRef
10.
go back to reference Nemmar A, Hoet PH, Vanquickenborne B et al (2002) Passage of inhaled particles into the blood circulation in humans. Circulation 105:411–414PubMedCrossRef Nemmar A, Hoet PH, Vanquickenborne B et al (2002) Passage of inhaled particles into the blood circulation in humans. Circulation 105:411–414PubMedCrossRef
11.
go back to reference Brook RD, Rajagopalan S, Pope CA 3rd et al (2010) Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation 121:2331–2378PubMedCrossRef Brook RD, Rajagopalan S, Pope CA 3rd et al (2010) Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation 121:2331–2378PubMedCrossRef
12.
go back to reference Suades-Gonzalez E, Gascon M, Guxens M, Sunyer J (2015) Air pollution and neuropsychological development: a review of the latest evidence. Endocrinology 156:3473–3482PubMedPubMedCentralCrossRef Suades-Gonzalez E, Gascon M, Guxens M, Sunyer J (2015) Air pollution and neuropsychological development: a review of the latest evidence. Endocrinology 156:3473–3482PubMedPubMedCentralCrossRef
13.
go back to reference Trope I, Lopez-Villegas D, Cecil KM, Lenkinski RE (2001) Exposure to lead appears to selectively alter metabolism of cortical gray matter. Pediatrics 107:1437–1442PubMedCrossRef Trope I, Lopez-Villegas D, Cecil KM, Lenkinski RE (2001) Exposure to lead appears to selectively alter metabolism of cortical gray matter. Pediatrics 107:1437–1442PubMedCrossRef
14.
go back to reference Lisabeth LD, Escobar JD, Dvonch JT et al (2008) Ambient air pollution and risk for ischemic stroke and transient ischemic attack. Ann Neurol 64:53–59PubMedPubMedCentralCrossRef Lisabeth LD, Escobar JD, Dvonch JT et al (2008) Ambient air pollution and risk for ischemic stroke and transient ischemic attack. Ann Neurol 64:53–59PubMedPubMedCentralCrossRef
15.
go back to reference Oguntunde PE, Okagbue HI, Oguntunde OA, Odetunmibi OO (2019) A study of noise pollution measurements and possible effects on public health in ota metropolis, Nigeria. Open Access Maced J Med Sci 7:1391–1395PubMedPubMedCentralCrossRef Oguntunde PE, Okagbue HI, Oguntunde OA, Odetunmibi OO (2019) A study of noise pollution measurements and possible effects on public health in ota metropolis, Nigeria. Open Access Maced J Med Sci 7:1391–1395PubMedPubMedCentralCrossRef
16.
go back to reference Babisch W (2006) Transportation noise and cardiovascular risk: updated review and synthesis of epidemiological studies indicate that the evidence has increased. Noise Health 8:1–29PubMedCrossRef Babisch W (2006) Transportation noise and cardiovascular risk: updated review and synthesis of epidemiological studies indicate that the evidence has increased. Noise Health 8:1–29PubMedCrossRef
17.
go back to reference Basner M, Babisch W, Davis A et al (2014) Auditory and non-auditory effects of noise on health. Lancet 383:1325–1332PubMedCrossRef Basner M, Babisch W, Davis A et al (2014) Auditory and non-auditory effects of noise on health. Lancet 383:1325–1332PubMedCrossRef
18.
go back to reference Dockery DW, Pope CA 3rd, Xu X et al (1993) An association between air pollution and mortality in six U.S. cities. N Engl J Med 329:1753–1759PubMedCrossRef Dockery DW, Pope CA 3rd, Xu X et al (1993) An association between air pollution and mortality in six U.S. cities. N Engl J Med 329:1753–1759PubMedCrossRef
19.
go back to reference Peters A, Perz S, Doring A, Stieber J, Koenig W, Wichmann HE (1999) Increases in heart rate during an air pollution episode. Am J Epidemiol 150:1094–1098PubMedCrossRef Peters A, Perz S, Doring A, Stieber J, Koenig W, Wichmann HE (1999) Increases in heart rate during an air pollution episode. Am J Epidemiol 150:1094–1098PubMedCrossRef
20.
go back to reference Peters A, Dockery DW, Muller JE, Mittleman MA (2001) Increased particulate air pollution and the triggering of myocardial infarction. Circulation 103:2810–2815PubMedCrossRef Peters A, Dockery DW, Muller JE, Mittleman MA (2001) Increased particulate air pollution and the triggering of myocardial infarction. Circulation 103:2810–2815PubMedCrossRef
21.
go back to reference Nemmar A, Hoet PH, Nemery B (2003) Health effects of air pollution episodes. Rev Mal Respir 20:327–330PubMed Nemmar A, Hoet PH, Nemery B (2003) Health effects of air pollution episodes. Rev Mal Respir 20:327–330PubMed
22.
go back to reference Donaldson K, Stone V, Seaton A, MacNee W (2001) Ambient particle inhalation and the cardiovascular system: potential mechanisms. Environ Health Perspect 109(Suppl 4):523–527PubMedPubMedCentralCrossRef Donaldson K, Stone V, Seaton A, MacNee W (2001) Ambient particle inhalation and the cardiovascular system: potential mechanisms. Environ Health Perspect 109(Suppl 4):523–527PubMedPubMedCentralCrossRef
23.
go back to reference Jokinen E (2015) Obesity and cardiovascular disease. Minerva Pediatr 67:25–32PubMed Jokinen E (2015) Obesity and cardiovascular disease. Minerva Pediatr 67:25–32PubMed
24.
go back to reference Pope CA 3rd, Burnett RT, Thurston GD et al (2004) Cardiovascular mortality and long-term exposure to particulate air pollution: epidemiological evidence of general pathophysiological pathways of disease. Circulation 109:71–77PubMedCrossRef Pope CA 3rd, Burnett RT, Thurston GD et al (2004) Cardiovascular mortality and long-term exposure to particulate air pollution: epidemiological evidence of general pathophysiological pathways of disease. Circulation 109:71–77PubMedCrossRef
25.
26.
go back to reference Tonne C, Melly S, Mittleman M, Coull B, Goldberg R, Schwartz J (2007) A case-control analysis of exposure to traffic and acute myocardial infarction. Environ Health Perspect 115:53–57PubMedCrossRef Tonne C, Melly S, Mittleman M, Coull B, Goldberg R, Schwartz J (2007) A case-control analysis of exposure to traffic and acute myocardial infarction. Environ Health Perspect 115:53–57PubMedCrossRef
27.
28.
go back to reference Kaufman JD, Adar SD, Barr RG et al (2016) Association between air pollution and coronary artery calcification within six metropolitan areas in the USA (the Multi-Ethnic Study of Atherosclerosis and Air Pollution): a longitudinal cohort study. Lancet 388:696–704PubMedPubMedCentralCrossRef Kaufman JD, Adar SD, Barr RG et al (2016) Association between air pollution and coronary artery calcification within six metropolitan areas in the USA (the Multi-Ethnic Study of Atherosclerosis and Air Pollution): a longitudinal cohort study. Lancet 388:696–704PubMedPubMedCentralCrossRef
29.
go back to reference Liu Y, Goodson JM, Zhang B, Chin MT (2015) Air pollution and adverse cardiac remodeling: clinical effects and basic mechanisms. Front Physiol 6:162PubMedPubMedCentral Liu Y, Goodson JM, Zhang B, Chin MT (2015) Air pollution and adverse cardiac remodeling: clinical effects and basic mechanisms. Front Physiol 6:162PubMedPubMedCentral
30.
go back to reference Dominici F, Peng RD, Bell ML et al (2006) Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA 295:1127–1134PubMedPubMedCentralCrossRef Dominici F, Peng RD, Bell ML et al (2006) Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases. JAMA 295:1127–1134PubMedPubMedCentralCrossRef
31.
go back to reference Hong YC, Lee JT, Kim H, Kwon HJ (2002) Air pollution: a new risk factor in ischemic stroke mortality. Stroke 33:2165–2169PubMedCrossRef Hong YC, Lee JT, Kim H, Kwon HJ (2002) Air pollution: a new risk factor in ischemic stroke mortality. Stroke 33:2165–2169PubMedCrossRef
32.
go back to reference Kettunen J, Lanki T, Tiittanen P et al (2007) Associations of fine and ultrafine particulate air pollution with stroke mortality in an area of low air pollution levels. Stroke 38:918–922PubMedCrossRef Kettunen J, Lanki T, Tiittanen P et al (2007) Associations of fine and ultrafine particulate air pollution with stroke mortality in an area of low air pollution levels. Stroke 38:918–922PubMedCrossRef
33.
go back to reference Baccarelli A, Martinelli I, Zanobetti A et al (2008) Exposure to particulate air pollution and risk of deep vein thrombosis. Arch Intern Med 168:920–927PubMedPubMedCentralCrossRef Baccarelli A, Martinelli I, Zanobetti A et al (2008) Exposure to particulate air pollution and risk of deep vein thrombosis. Arch Intern Med 168:920–927PubMedPubMedCentralCrossRef
34.
go back to reference Cox CW, Lynch DA (2015) Medical imaging in occupational and environmental lung disease. Curr Opin Pulm Med 21:163–170PubMedCrossRef Cox CW, Lynch DA (2015) Medical imaging in occupational and environmental lung disease. Curr Opin Pulm Med 21:163–170PubMedCrossRef
35.
go back to reference Perret JL, Plush B, Lachapelle P et al (2017) Coal mine dust lung disease in the modern era. Respirology 22:662–670PubMedCrossRef Perret JL, Plush B, Lachapelle P et al (2017) Coal mine dust lung disease in the modern era. Respirology 22:662–670PubMedCrossRef
36.
go back to reference Remy-Jardin M, Remy J, Farre I, Marquette CH (1992) Computed tomographic evaluation of silicosis and coal workers' pneumoconiosis. Radiol Clin North Am 30:1155–1176PubMed Remy-Jardin M, Remy J, Farre I, Marquette CH (1992) Computed tomographic evaluation of silicosis and coal workers' pneumoconiosis. Radiol Clin North Am 30:1155–1176PubMed
37.
go back to reference Akira M (2002) High-resolution CT in the evaluation of occupational and environmental disease. Radiol Clin North Am 40:43–59PubMedCrossRef Akira M (2002) High-resolution CT in the evaluation of occupational and environmental disease. Radiol Clin North Am 40:43–59PubMedCrossRef
39.
go back to reference Akira M, Yokoyama K, Yamamoto S et al (1991) Early asbestosis: evaluation with high-resolution CT. Radiology 178:409–416PubMedCrossRef Akira M, Yokoyama K, Yamamoto S et al (1991) Early asbestosis: evaluation with high-resolution CT. Radiology 178:409–416PubMedCrossRef
40.
go back to reference Marchiori E, Souza Junior AS, Muller NL (2004) Inhalational pulmonary talcosis: high-resolution CT findings in 3 patients. J Thorac Imaging 19:41–44PubMedCrossRef Marchiori E, Souza Junior AS, Muller NL (2004) Inhalational pulmonary talcosis: high-resolution CT findings in 3 patients. J Thorac Imaging 19:41–44PubMedCrossRef
41.
go back to reference Chong S, Lee KS, Chung MJ, Han J, Kwon OJ, Kim TS (2006) Pneumoconiosis: comparison of imaging and pathologic findings. Radiographics 26:59–77PubMedCrossRef Chong S, Lee KS, Chung MJ, Han J, Kwon OJ, Kim TS (2006) Pneumoconiosis: comparison of imaging and pathologic findings. Radiographics 26:59–77PubMedCrossRef
42.
go back to reference Pham QT (2001) Chest radiography in the diagnosis of pneumoconiosis. Int J Tuberc Lung Dis 5:478–482PubMed Pham QT (2001) Chest radiography in the diagnosis of pneumoconiosis. Int J Tuberc Lung Dis 5:478–482PubMed
43.
go back to reference Rice MB, Li W, Dorans KS et al (2018) Exposure to traffic emissions and fine particulate matter and computed tomography measures of the lung and airways. Epidemiology 29:333–341PubMedPubMedCentralCrossRef Rice MB, Li W, Dorans KS et al (2018) Exposure to traffic emissions and fine particulate matter and computed tomography measures of the lung and airways. Epidemiology 29:333–341PubMedPubMedCentralCrossRef
44.
go back to reference Geerts CC, Bots ML, van der Ent CK, Grobbee DE, Uiterwaal CS (2012) Parental smoking and vascular damage in their 5-year-old children. Pediatrics 129:45–54PubMedCrossRef Geerts CC, Bots ML, van der Ent CK, Grobbee DE, Uiterwaal CS (2012) Parental smoking and vascular damage in their 5-year-old children. Pediatrics 129:45–54PubMedCrossRef
45.
go back to reference Roldan-Valadez E, Rios C, Suarez-May MA, Favila R, Aguilar-Castaneda E (2013) Main effect and interactions of brain regions and gender in the calculation of volumetric asymmetry indices in healthy human brains: ANCOVA analyses of in vivo 3T MRI data. Anat Rec (Hoboken) 296:1913–1922CrossRef Roldan-Valadez E, Rios C, Suarez-May MA, Favila R, Aguilar-Castaneda E (2013) Main effect and interactions of brain regions and gender in the calculation of volumetric asymmetry indices in healthy human brains: ANCOVA analyses of in vivo 3T MRI data. Anat Rec (Hoboken) 296:1913–1922CrossRef
46.
go back to reference Roldan-Valadez E, Suarez-May MA, Favila R, Aguilar-Castaneda E, Rios C (2015) Selected gray matter volumes and gender but not basal ganglia nor cerebellum gyri discriminate left versus right cerebral hemispheres: multivariate analyses in human brains at 3T. Anat Rec (Hoboken) 298:1336–1346CrossRef Roldan-Valadez E, Suarez-May MA, Favila R, Aguilar-Castaneda E, Rios C (2015) Selected gray matter volumes and gender but not basal ganglia nor cerebellum gyri discriminate left versus right cerebral hemispheres: multivariate analyses in human brains at 3T. Anat Rec (Hoboken) 298:1336–1346CrossRef
47.
go back to reference Ramirez-Carmona R, Garcia-Lazaro HG, Dominguez-Corrales B, Aguilar-Castaneda E, Roldan-Valadez E (2016) Main effects and interactions of cerebral hemispheres, gender, and age in the calculation of volumes and asymmetries of selected structures of episodic memory. Funct Neurol 31:257–264PubMed Ramirez-Carmona R, Garcia-Lazaro HG, Dominguez-Corrales B, Aguilar-Castaneda E, Roldan-Valadez E (2016) Main effects and interactions of cerebral hemispheres, gender, and age in the calculation of volumes and asymmetries of selected structures of episodic memory. Funct Neurol 31:257–264PubMed
48.
go back to reference Garcia-Lazaro HG, Ramirez-Carmona R, Lara-Romero R, Roldan-Valadez E (2012) Neuroanatomy of episodic and semantic memory in humans: a brief review of neuroimaging studies. Neurol India 60:613–617PubMedCrossRef Garcia-Lazaro HG, Ramirez-Carmona R, Lara-Romero R, Roldan-Valadez E (2012) Neuroanatomy of episodic and semantic memory in humans: a brief review of neuroimaging studies. Neurol India 60:613–617PubMedCrossRef
49.
go back to reference Watts R, Liston C, Niogi S, Ulug AM (2003) Fiber tracking using magnetic resonance diffusion tensor imaging and its applications to human brain development. Ment Retard Dev Disabil Res Rev 9:168–177PubMedCrossRef Watts R, Liston C, Niogi S, Ulug AM (2003) Fiber tracking using magnetic resonance diffusion tensor imaging and its applications to human brain development. Ment Retard Dev Disabil Res Rev 9:168–177PubMedCrossRef
50.
go back to reference Rauh VA, Perera FP, Horton MK et al (2012) Brain anomalies in children exposed prenatally to a common organophosphate pesticide. Proc Natl Acad Sci U S A 109:7871–7876PubMedPubMedCentralCrossRef Rauh VA, Perera FP, Horton MK et al (2012) Brain anomalies in children exposed prenatally to a common organophosphate pesticide. Proc Natl Acad Sci U S A 109:7871–7876PubMedPubMedCentralCrossRef
51.
go back to reference Bouchard MF, Chevrier J, Harley KG et al (2011) Prenatal exposure to organophosphate pesticides and IQ in 7-year-old children. Environ Health Perspect 119:1189–1195PubMedPubMedCentralCrossRef Bouchard MF, Chevrier J, Harley KG et al (2011) Prenatal exposure to organophosphate pesticides and IQ in 7-year-old children. Environ Health Perspect 119:1189–1195PubMedPubMedCentralCrossRef
52.
go back to reference Garcia-Lazaro HG, Becerra-Laparra I, Cortez-Conradis D, Roldan-Valadez E (2016) Global fractional anisotropy and mean diffusivity together with segmented brain volumes assemble a predictive discriminant model for young and elderly healthy brains: a pilot study at 3T. Funct Neurol 31:39–46PubMedPubMedCentral Garcia-Lazaro HG, Becerra-Laparra I, Cortez-Conradis D, Roldan-Valadez E (2016) Global fractional anisotropy and mean diffusivity together with segmented brain volumes assemble a predictive discriminant model for young and elderly healthy brains: a pilot study at 3T. Funct Neurol 31:39–46PubMedPubMedCentral
53.
go back to reference Roldan-Valadez E, Rios-Piedra E, Favila R, Alcauter S, Rios C (2012) Diffusion tensor imaging-derived measures of fractional anisotropy across the pyramidal tract are influenced by the cerebral hemisphere but not by gender in young healthy volunteers: a split-plot factorial analysis of variance. Chin Med J (Engl) 125:2180–2187 Roldan-Valadez E, Rios-Piedra E, Favila R, Alcauter S, Rios C (2012) Diffusion tensor imaging-derived measures of fractional anisotropy across the pyramidal tract are influenced by the cerebral hemisphere but not by gender in young healthy volunteers: a split-plot factorial analysis of variance. Chin Med J (Engl) 125:2180–2187
54.
go back to reference Beigi M, Safari M, Ameri A et al (2018) Findings of DTI-p maps in comparison with T2/T2-FLAIR to assess postoperative hyper-signal abnormal regions in patients with glioblastoma. Cancer Imaging 18:33PubMedPubMedCentralCrossRef Beigi M, Safari M, Ameri A et al (2018) Findings of DTI-p maps in comparison with T2/T2-FLAIR to assess postoperative hyper-signal abnormal regions in patients with glioblastoma. Cancer Imaging 18:33PubMedPubMedCentralCrossRef
55.
go back to reference Cortez-Conradis D, Favila R, Isaac-Olive K, Martinez-Lopez M, Rios C, Roldan-Valadez E (2013) Diagnostic performance of regional DTI-derived tensor metrics in glioblastoma multiforme: simultaneous evaluation of p, q, L, Cl, Cp, Cs, RA, RD, AD, mean diffusivity and fractional anisotropy. Eur Radiol 23:1112–1121PubMedCrossRef Cortez-Conradis D, Favila R, Isaac-Olive K, Martinez-Lopez M, Rios C, Roldan-Valadez E (2013) Diagnostic performance of regional DTI-derived tensor metrics in glioblastoma multiforme: simultaneous evaluation of p, q, L, Cl, Cp, Cs, RA, RD, AD, mean diffusivity and fractional anisotropy. Eur Radiol 23:1112–1121PubMedCrossRef
56.
57.
go back to reference Julvez J, Ribas-Fito N, Torrent M, Forns M, Garcia-Esteban R, Sunyer J (2007) Maternal smoking habits and cognitive development of children at age 4 years in a population-based birth cohort. Int J Epidemiol 36:825–832PubMedCrossRef Julvez J, Ribas-Fito N, Torrent M, Forns M, Garcia-Esteban R, Sunyer J (2007) Maternal smoking habits and cognitive development of children at age 4 years in a population-based birth cohort. Int J Epidemiol 36:825–832PubMedCrossRef
58.
go back to reference Bennett DS, Mohamed FB, Carmody DP, Malik M, Faro SH, Lewis M (2013) Prenatal tobacco exposure predicts differential brain function during working memory in early adolescence: a preliminary investigation. Brain Imaging Behav 7:49–59PubMedCrossRef Bennett DS, Mohamed FB, Carmody DP, Malik M, Faro SH, Lewis M (2013) Prenatal tobacco exposure predicts differential brain function during working memory in early adolescence: a preliminary investigation. Brain Imaging Behav 7:49–59PubMedCrossRef
59.
go back to reference Agnes Brunnekreef J, De Sonneville LM, Althaus M et al (2007) Information processing profiles of internalizing and externalizing behavior problems: evidence from a population-based sample of preadolescents. J Child Psychol Psychiatry 48:185–193PubMedCrossRef Agnes Brunnekreef J, De Sonneville LM, Althaus M et al (2007) Information processing profiles of internalizing and externalizing behavior problems: evidence from a population-based sample of preadolescents. J Child Psychol Psychiatry 48:185–193PubMedCrossRef
61.
go back to reference Roldan-Valadez E, Rios C, Motola-Kuba D, Matus-Santos J, Villa AR, Moreno-Jimenez S (2016) Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox's proportional-hazards regression model for prediction of survival in high-grade gliomas. Br J Radiol 89:20150502PubMedPubMedCentralCrossRef Roldan-Valadez E, Rios C, Motola-Kuba D, Matus-Santos J, Villa AR, Moreno-Jimenez S (2016) Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox's proportional-hazards regression model for prediction of survival in high-grade gliomas. Br J Radiol 89:20150502PubMedPubMedCentralCrossRef
62.
go back to reference Lopez-Acevedo ML, Martinez-Lopez M, Favila R, Roldan-Valadez E (2012) Secondary MRI-findings, volumetric and spectroscopic measurements in mesial temporal sclerosis: a multivariate discriminant analysis. Swiss Med Wkly 142:w13549PubMed Lopez-Acevedo ML, Martinez-Lopez M, Favila R, Roldan-Valadez E (2012) Secondary MRI-findings, volumetric and spectroscopic measurements in mesial temporal sclerosis: a multivariate discriminant analysis. Swiss Med Wkly 142:w13549PubMed
63.
go back to reference Flores-Pajot MC, Ofner M, Do MT, Lavigne E, Villeneuve PJ (2016) Childhood autism spectrum disorders and exposure to nitrogen dioxide, and particulate matter air pollution: A review and meta-analysis. Environ Res 151:763–776PubMedCrossRef Flores-Pajot MC, Ofner M, Do MT, Lavigne E, Villeneuve PJ (2016) Childhood autism spectrum disorders and exposure to nitrogen dioxide, and particulate matter air pollution: A review and meta-analysis. Environ Res 151:763–776PubMedCrossRef
64.
go back to reference Horder J, Petrinovic MM, Mendez MA et al (2018) Glutamate and GABA in autism spectrum disorder-a translational magnetic resonance spectroscopy study in man and rodent models. Transl Psychiatry 8:106PubMedPubMedCentralCrossRef Horder J, Petrinovic MM, Mendez MA et al (2018) Glutamate and GABA in autism spectrum disorder-a translational magnetic resonance spectroscopy study in man and rodent models. Transl Psychiatry 8:106PubMedPubMedCentralCrossRef
65.
go back to reference Lewandowska AM, Rudzki M, Rudzki S, Lewandowski T, Laskowska B (2019) Environmental risk factors for cancer—review paper. Ann Agric Environ Med 26:1-7PubMedCrossRef Lewandowska AM, Rudzki M, Rudzki S, Lewandowski T, Laskowska B (2019) Environmental risk factors for cancer—review paper. Ann Agric Environ Med 26:1-7PubMedCrossRef
66.
go back to reference Weichenthal S, Hatzopoulou M, Brauer M (2019) A picture tells a thousand...exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology. Environ Int 122:3–10PubMedCrossRef Weichenthal S, Hatzopoulou M, Brauer M (2019) A picture tells a thousand...exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology. Environ Int 122:3–10PubMedCrossRef
68.
go back to reference Burger M, Catto JW, Dalbagni G et al (2013) Epidemiology and risk factors of urothelial bladder cancer. Eur Urol 63:234–241PubMedCrossRef Burger M, Catto JW, Dalbagni G et al (2013) Epidemiology and risk factors of urothelial bladder cancer. Eur Urol 63:234–241PubMedCrossRef
69.
go back to reference Samet JM, Fontham E, Alpirez-Guardao M, Sousa-Santana V (2019) Pollution in the Americas: a leading cause of disease burden and an opportunity for cancer prevention. Salud Publica Mex 61:417–426PubMedCrossRef Samet JM, Fontham E, Alpirez-Guardao M, Sousa-Santana V (2019) Pollution in the Americas: a leading cause of disease burden and an opportunity for cancer prevention. Salud Publica Mex 61:417–426PubMedCrossRef
71.
go back to reference Shaban-Nejad A, Michalowski M, Buckeridge DL (2018) Health intelligence: how artificial intelligence transforms population and personalized health. NPJ Digit Med 1:53PubMedPubMedCentralCrossRef Shaban-Nejad A, Michalowski M, Buckeridge DL (2018) Health intelligence: how artificial intelligence transforms population and personalized health. NPJ Digit Med 1:53PubMedPubMedCentralCrossRef
72.
go back to reference Istepanian RSH, Al-Anzi T (2018) m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics. Methods 151:34–40PubMedCrossRef Istepanian RSH, Al-Anzi T (2018) m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics. Methods 151:34–40PubMedCrossRef
73.
go back to reference Harber P, McCoy JM, Howard K, Greer D, Luo J (1991) Artificial intelligence-assisted occupational lung disease diagnosis. Chest 100:340–346PubMedCrossRef Harber P, McCoy JM, Howard K, Greer D, Luo J (1991) Artificial intelligence-assisted occupational lung disease diagnosis. Chest 100:340–346PubMedCrossRef
74.
go back to reference Brenner DJ, Hall EJ (2007) Computed tomography--an increasing source of radiation exposure. N Engl J Med 357:2277–2284PubMedCrossRef Brenner DJ, Hall EJ (2007) Computed tomography--an increasing source of radiation exposure. N Engl J Med 357:2277–2284PubMedCrossRef
75.
go back to reference Khan A, Budnick A, Barnea D, Feldman DR, Oeffinger KC, Tonorezos ES (2018) Hearing Loss in Adult Survivors of Childhood Cancer Treated with Radiotherapy. Children (Basel) 5:5PubMedCentralCrossRef Khan A, Budnick A, Barnea D, Feldman DR, Oeffinger KC, Tonorezos ES (2018) Hearing Loss in Adult Survivors of Childhood Cancer Treated with Radiotherapy. Children (Basel) 5:5PubMedCentralCrossRef
77.
go back to reference Suzuki S, Nishio S, Takata K, Morioka T, Fukui M (2000) Radiation-induced brain calcification: paradoxical high signal intensity in T1-weighted MR images. Acta Neurochir (Wien) 142:801–804CrossRef Suzuki S, Nishio S, Takata K, Morioka T, Fukui M (2000) Radiation-induced brain calcification: paradoxical high signal intensity in T1-weighted MR images. Acta Neurochir (Wien) 142:801–804CrossRef
78.
go back to reference Kanda T, Ishii K, Kawaguchi H, Kitajima K, Takenaka D (2014) High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology 270:834–841CrossRefPubMed Kanda T, Ishii K, Kawaguchi H, Kitajima K, Takenaka D (2014) High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. Radiology 270:834–841CrossRefPubMed
79.
go back to reference Barbieri S, Schroeder C, Froehlich JM, Pasch A, Thoeny HC (2016) High signal intensity in dentate nucleus and globus pallidus on unenhanced T1-weighted MR images in three patients with impaired renal function and vascular calcification. Contrast Media Mol Imaging 11:245–250PubMedCrossRef Barbieri S, Schroeder C, Froehlich JM, Pasch A, Thoeny HC (2016) High signal intensity in dentate nucleus and globus pallidus on unenhanced T1-weighted MR images in three patients with impaired renal function and vascular calcification. Contrast Media Mol Imaging 11:245–250PubMedCrossRef
80.
go back to reference Cowper SE, Robin HS, Steinberg SM, Su LD, Gupta S, LeBoit PE (2000) Scleromyxoedema-like cutaneous diseases in renal-dialysis patients. Lancet 356:1000–1001PubMedCrossRef Cowper SE, Robin HS, Steinberg SM, Su LD, Gupta S, LeBoit PE (2000) Scleromyxoedema-like cutaneous diseases in renal-dialysis patients. Lancet 356:1000–1001PubMedCrossRef
81.
go back to reference Thomsen HS (2009) Nephrogenic systemic fibrosis: history and epidemiology. Radiol Clin North Am 47(827-831):vi Thomsen HS (2009) Nephrogenic systemic fibrosis: history and epidemiology. Radiol Clin North Am 47(827-831):vi
82.
go back to reference Marckmann P, Skov L, Rossen K, Thomsen HS (2008) Clinical manifestation of gadodiamide-related nephrogenic systemic fibrosis. Clin Nephrol 69:161–168PubMedCrossRef Marckmann P, Skov L, Rossen K, Thomsen HS (2008) Clinical manifestation of gadodiamide-related nephrogenic systemic fibrosis. Clin Nephrol 69:161–168PubMedCrossRef
83.
go back to reference Galan A, Cowper SE, Bucala R (2006) Nephrogenic systemic fibrosis (nephrogenic fibrosing dermopathy). Curr Opin Rheumatol 18:614–617PubMedCrossRef Galan A, Cowper SE, Bucala R (2006) Nephrogenic systemic fibrosis (nephrogenic fibrosing dermopathy). Curr Opin Rheumatol 18:614–617PubMedCrossRef
84.
go back to reference Thomsen HS, Marckmann P (2008) Extracellular Gd-CA: differences in prevalence of NSF. Eur J Radiol 66:180–183PubMedCrossRef Thomsen HS, Marckmann P (2008) Extracellular Gd-CA: differences in prevalence of NSF. Eur J Radiol 66:180–183PubMedCrossRef
85.
go back to reference Schwartz LH, Panicek DM, Berk AR, Li Y, Hricak H (2011) Improving communication of diagnostic radiology findings through structured reporting. Radiology 260:174–181PubMedPubMedCentralCrossRef Schwartz LH, Panicek DM, Berk AR, Li Y, Hricak H (2011) Improving communication of diagnostic radiology findings through structured reporting. Radiology 260:174–181PubMedPubMedCentralCrossRef
86.
go back to reference European Society of Radiology (ESR) (2011) Good practice for radiological reporting. Guidelines from the European Society of Radiology (ESR). Insights Imaging 2:93–96 European Society of Radiology (ESR) (2011) Good practice for radiological reporting. Guidelines from the European Society of Radiology (ESR). Insights Imaging 2:93–96
87.
go back to reference Juluru K, Heilbrun ME, Kohli MD (2019) Describing disease-specific reporting guidelines: A Brief Guide for Radiologists. Radiographics 39:1233–1235PubMedCrossRef Juluru K, Heilbrun ME, Kohli MD (2019) Describing disease-specific reporting guidelines: A Brief Guide for Radiologists. Radiographics 39:1233–1235PubMedCrossRef
88.
go back to reference Schoeppe F, Sommer WH, Norenberg D et al (2018) Structured reporting adds clinical value in primary CT staging of diffuse large B-cell lymphoma. Eur Radiol 28:3702–3709PubMedCrossRef Schoeppe F, Sommer WH, Norenberg D et al (2018) Structured reporting adds clinical value in primary CT staging of diffuse large B-cell lymphoma. Eur Radiol 28:3702–3709PubMedCrossRef
89.
90.
91.
go back to reference Rifkin-Graboi A, Bai J, Chen H et al (2013) Prenatal maternal depression associates with microstructure of right amygdala in neonates at birth. Biol Psychiatry 74:837–844PubMedCrossRef Rifkin-Graboi A, Bai J, Chen H et al (2013) Prenatal maternal depression associates with microstructure of right amygdala in neonates at birth. Biol Psychiatry 74:837–844PubMedCrossRef
92.
go back to reference Wen DJ, Poh JS, Ni SN et al (2017) Influences of prenatal and postnatal maternal depression on amygdala volume and microstructure in young children. Transl Psychiatry 7:e1103PubMedPubMedCentralCrossRef Wen DJ, Poh JS, Ni SN et al (2017) Influences of prenatal and postnatal maternal depression on amygdala volume and microstructure in young children. Transl Psychiatry 7:e1103PubMedPubMedCentralCrossRef
93.
go back to reference Grewen K, Burchinal M, Vachet C et al (2014) Prenatal cocaine effects on brain structure in early infancy. Neuroimage 101:114–123PubMedCrossRef Grewen K, Burchinal M, Vachet C et al (2014) Prenatal cocaine effects on brain structure in early infancy. Neuroimage 101:114–123PubMedCrossRef
94.
go back to reference Salzwedel AP, Grewen KM, Vachet C, Gerig G, Lin W, Gao W (2015) Prenatal drug exposure affects neonatal brain functional connectivity. J Neurosci 35:5860–5869PubMedPubMedCentralCrossRef Salzwedel AP, Grewen KM, Vachet C, Gerig G, Lin W, Gao W (2015) Prenatal drug exposure affects neonatal brain functional connectivity. J Neurosci 35:5860–5869PubMedPubMedCentralCrossRef
95.
96.
go back to reference Salzwedel AP, Grewen KM, Goldman BD, Gao W (2016) Thalamocortical functional connectivity and behavioral disruptions in neonates with prenatal cocaine exposure. Neurotoxicol Teratol 56:16–25PubMedPubMedCentralCrossRef Salzwedel AP, Grewen KM, Goldman BD, Gao W (2016) Thalamocortical functional connectivity and behavioral disruptions in neonates with prenatal cocaine exposure. Neurotoxicol Teratol 56:16–25PubMedPubMedCentralCrossRef
97.
go back to reference Gao W, Grewen K, Knickmeyer RC et al (2019) A review on neuroimaging studies of genetic and environmental influences on early brain development. Neuroimage 185:802–812PubMedCrossRef Gao W, Grewen K, Knickmeyer RC et al (2019) A review on neuroimaging studies of genetic and environmental influences on early brain development. Neuroimage 185:802–812PubMedCrossRef
98.
go back to reference Forns J, Aranbarri A, Grellier J, Julvez J, Vrijheid M, Sunyer J (2012) A conceptual framework in the study of neuropsychological development in epidemiological studies. Neuroepidemiology 38:203–208PubMedCrossRef Forns J, Aranbarri A, Grellier J, Julvez J, Vrijheid M, Sunyer J (2012) A conceptual framework in the study of neuropsychological development in epidemiological studies. Neuroepidemiology 38:203–208PubMedCrossRef
Metadata
Title
Imaging methods used in the assessment of environmental disease networks: a brief review for clinicians
Authors
Aime Cedillo-Pozos
Sergey K. Ternovoy
Ernesto Roldan-Valadez
Publication date
01-12-2020
Publisher
Springer Berlin Heidelberg
Published in
Insights into Imaging / Issue 1/2020
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-019-0814-7

Other articles of this Issue 1/2020

Insights into Imaging 1/2020 Go to the issue