000 02716nam a22003618i 4500
001 CR9781139628976
003 UkCbUP
005 20200124160223.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 121129s2014||||enk o ||1 0|eng|d
020 _a9781139628976 (ebook)
020 _z9781107442337 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aRC280.U8
_b.F33 2014
082 0 0 _a616.99/466
_223
100 1 _aFadare, Oluwole,
_eauthor.
245 1 0 _aDiagnosis of neoplasia in endometrial biopsies :
_ba pattern-based and algorithmic approach /
_cOluwole Fadare, Vinita Parkash.
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (viii, 176 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge medicine
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 _a1. General principles in the evaluation of endometrial samples -- 2. Endometrial samples with roughly equal ratio of glands to stroma -- 3. Gland-predominant lesions with ratio of glands to stroma greater than 1:1 -- 4. Malignant epithelial proliferations without significant stromal components -- 5. Spindle-cell and myxoid lesions -- 6. Round-cell lesions -- 7. Epithelioid-cell lesions -- 8. Trophoblastic and gestational lesions.
520 _aWith its unique algorithmic and pattern-based approach, Diagnosis of Neoplasia in Endometrial Biopsies is an essential practical guide to interpreting endometrial biopsy samples. All potential entities are classified based on the dominant histologic pattern, with each resulting sub-group progressively sub-classified to reach a diagnosis. Decision tree flowcharts facilitate rapid narrowing of the differential diagnosis. Recent advancements are discussed and explained, and strengths and limitations of diagnostic tests are identified in the context of their application to the biopsy sample. Lavishly illustrated throughout, this book serves the practising pathologist as a scope-side assistant for quick reference, up-to-date guidance, and recommendations for ancillary testing. For the resident, this book facilitates quick and comprehensive mastery of the interpretation and diagnosis of endometrial biopsies. The book is packaged with a password, giving the user online access to all the text and images.
650 0 _aEndometrium
_xCancer
_xDiagnosis.
700 1 _aParkash, Vinita,
_eauthor.
776 0 8 _iPrint version:
_z9781107442337
830 0 _aCambridge medicine (Series)
856 4 0 _uhttps://doi.org/10.1017/CBO9781139628976
999 _c516901
_d516899