 Radiography, Thoracic
"Radiography, Thoracic" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
X-ray visualization of the chest and organs of the thoracic cavity. It is not restricted to visualization of the lungs.
| Descriptor ID |
D013902
|
| MeSH Number(s) |
E01.370.350.700.730
|
| Concept/Terms |
Radiography, Thoracic- Radiography, Thoracic
- Thoracic Radiography
- Radiographies, Thoracic
- Thoracic Radiographies
|
Below are MeSH descriptors whose meaning is more general than "Radiography, Thoracic".
Below are MeSH descriptors whose meaning is more specific than "Radiography, Thoracic".
This graph shows the total number of publications written about "Radiography, Thoracic" by people in this website by year, and whether "Radiography, Thoracic" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1992 | 0 | 1 | 1 | | 1995 | 1 | 0 | 1 | | 1997 | 0 | 2 | 2 | | 1998 | 1 | 1 | 2 | | 1999 | 1 | 1 | 2 | | 2000 | 1 | 3 | 4 | | 2002 | 0 | 1 | 1 | | 2003 | 0 | 3 | 3 | | 2004 | 0 | 2 | 2 | | 2005 | 0 | 6 | 6 | | 2006 | 1 | 3 | 4 | | 2007 | 1 | 1 | 2 | | 2008 | 2 | 6 | 8 | | 2009 | 3 | 3 | 6 | | 2010 | 2 | 3 | 5 | | 2011 | 1 | 1 | 2 | | 2012 | 4 | 5 | 9 | | 2013 | 3 | 6 | 9 | | 2014 | 5 | 6 | 11 | | 2015 | 3 | 9 | 12 | | 2016 | 4 | 3 | 7 | | 2017 | 3 | 4 | 7 | | 2018 | 5 | 4 | 9 | | 2019 | 2 | 3 | 5 | | 2021 | 0 | 1 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Radiography, Thoracic" by people in Profiles.
-
Coleman RD, Chartan CA, Mourani PM. Intensive care management of right ventricular failure and pulmonary hypertension crises. Pediatr Pulmonol. 2021 03; 56(3):636-648.
-
Walsh SLF, Humphries SM, Wells AU, Brown KK. Imaging research in fibrotic lung disease; applying deep learning to unsolved problems. Lancet Respir Med. 2020 11; 8(11):1144-1153.
-
Lipsett SC, Hall M, Ambroggio L, Desai S, Shah SS, Brogan TV, Hersh AL, Williams DJ, Grijalva CG, Gerber JS, Blaschke AJ, Neuman MI. Predictors of Bacteremia in Children Hospitalized With Community-Acquired Pneumonia. Hosp Pediatr. 2019 10; 9(10):770-778.
-
Parry JA, Chambers LR, Koval KJ, Langford JR. Screws are at a safe distance from critical structures after superior plate fixation of clavicle fractures. Eur J Orthop Surg Traumatol. 2020 Feb; 30(2):227-230.
-
Ryan SM, Fingerlin TE, Mroz M, Barkes B, Hamzeh N, Maier LA, Carlson NE. Radiomic measures from chest high-resolution computed tomography associated with lung function in sarcoidosis. Eur Respir J. 2019 08; 54(2).
-
Rajab TK, Kim T, Keller S, Mallidi H. Management of a young patient with dextrocardia, atrial septal defect, and Eisenmenger syndrome with venous-venous extracorporeal membrane oxygenation and heart-lung transplantation. J Card Surg. 2019 Oct; 34(10):1114-1116.
-
Singleton JM, Bilello LA, Canham LS, Levenson RB, Lopez GJ, Tadiri SP, Shapiro NI, Rosen CL. Chest computed tomography imaging utility for radiographically occult rib fractures in elderly fall-injured patients. J Trauma Acute Care Surg. 2019 05; 86(5):838-843.
-
Maw AM, Hassanin A, Ho PM, McInnes MDF, Moss A, Juarez-Colunga E, Soni NJ, Miglioranza MH, Platz E, DeSanto K, Sertich AP, Salame G, Daugherty SL. Diagnostic Accuracy of Point-of-Care Lung Ultrasonography and Chest Radiography in Adults With Symptoms Suggestive of Acute Decompensated Heart Failure: A Systematic Review and Meta-analysis. JAMA Netw Open. 2019 03 01; 2(3):e190703.
-
Banerjee I, Ling Y, Chen MC, Hasan SA, Langlotz CP, Moradzadeh N, Chapman B, Amrhein T, Mong D, Rubin DL, Farri O, Lungren MP. Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif Intell Med. 2019 06; 97:79-88.
-
Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, Duan T, Ding D, Bagul A, Langlotz CP, Patel BN, Yeom KW, Shpanskaya K, Blankenberg FG, Seekins J, Amrhein TJ, Mong DA, Halabi SS, Zucker EJ, Ng AY, Lungren MP. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLoS Med. 2018 11; 15(11):e1002686.
|
People  People who have written about this concept. _
Similar Concepts
People who have written about this concept.
_
Top Journals
Top journals in which articles about this concept have been published.
|