000 02789nam a22004335i 4500
001 978-1-4614-1317-2
003 DE-He213
005 20140220083242.0
007 cr nn 008mamaa
008 111129s2012 xxu| s |||| 0|eng d
020 _a9781461413172
_9978-1-4614-1317-2
024 7 _a10.1007/978-1-4614-1317-2
_2doi
050 4 _aR895-920
072 7 _aMMPH
_2bicssc
072 7 _aMMP
_2bicssc
072 7 _aMED008000
_2bisacsh
082 0 4 _a616.0757
_223
100 1 _aFolio, Les R.
_eauthor.
245 1 0 _aChest Imaging
_h[electronic resource] :
_bAn Algorithmic Approach to Learning /
_cby Les R. Folio.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aXVII, 147p. 123 illus., 58 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction.- Search Pattern.- Normal Chest X-Ray.-  Abnormal Lung Patterns -- Abnormal Pleura -- Abnormal Mediastinum -- Abnormal Bones, Soft Tissue and Other Findings.-.
520 _aChest Imaging offers a concise introduction to radiographic chest procedures through a methodical, pattern-driven approach. Filled with high-resolution images, this practical guide provides a thorough explanation of key terms, concepts, and procedures useful for medical students, radiology residents, and others to learn the basics of the plain film chest x-ray (CXR). The book includes a companion online resource at www.robochest.com designed for use in combination to provide students with numerous examples of clinically significant abnormalities commonly detected on CXRs. Chapters present a structured lexicon to teach students to reproducibly describe radiographic abnormalities of the chest detected on CXRs. Topics present specific combinations of distinct radiographic findings in relation to classes and groupings of pathological etiologies of those findings. Recognizing individual findings and identifying their combination or lack of combination with other findings allows students to learn effective differential diagnoses. Chest Imaging includes hundreds of radiographs, CTs, graphics, mnemonics, differentials, and analogous models to help teach otherwise complex processes and radiographic principles.
650 0 _aMedicine.
650 0 _aRadiology, Medical.
650 1 4 _aMedicine & Public Health.
650 2 4 _aImaging / Radiology.
650 2 4 _aDiagnostic Radiology.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461413165
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-1317-2
912 _aZDB-2-SME
999 _c101046
_d101046