TY  - BOOK
AU  - Fadare,Oluwole
AU  - Parkash,Vinita
TI  - Diagnosis of neoplasia in endometrial biopsies: a pattern-based and algorithmic approach 
T2  - Cambridge medicine
SN  - 9781139628976 (ebook)
AV  - RC280.U8 .F33 2014
U1  - 616.99/466 23
PY  - 2014///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Endometrium
KW  - Cancer
KW  - Diagnosis
N1  - Title from publisher's bibliographic system (viewed on 05 Oct 2015); 1. 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
N2  - With 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
UR  - https://doi.org/10.1017/CBO9781139628976
ER  -