Diagnosis of neoplasia in endometrial biopsies: a pattern-based and algorithmic approach
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 progressive...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2014
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Schriftenreihe: | Cambridge medicine
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (viii, 176 pages) |
ISBN: | 9781139628976 |
DOI: | 10.1017/CBO9781139628976 |
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Datensatz im Suchindex
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any_adam_object | |
author | Fadare, Oluwole |
author_facet | Fadare, Oluwole |
author_role | aut |
author_sort | Fadare, Oluwole |
author_variant | o f of |
building | Verbundindex |
bvnumber | BV043940868 |
collection | ZDB-20-CBO |
contents | 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 |
ctrlnum | (ZDB-20-CBO)CR9781139628976 (OCoLC)992914230 (DE-599)BVBBV043940868 |
dewey-full | 616.99/466 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 616 - Diseases |
dewey-raw | 616.99/466 |
dewey-search | 616.99/466 |
dewey-sort | 3616.99 3466 |
dewey-tens | 610 - Medicine and health |
discipline | Medizin |
doi_str_mv | 10.1017/CBO9781139628976 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T07:39:14Z |
institution | BVB |
isbn | 9781139628976 |
language | English |
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physical | 1 online resource (viii, 176 pages) |
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publishDate | 2014 |
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spelling | Fadare, Oluwole Verfasser aut Diagnosis of neoplasia in endometrial biopsies a pattern-based and algorithmic approach Oluwole Fadare, Vinita Parkash Cambridge Cambridge University Press 2014 1 online resource (viii, 176 pages) txt rdacontent c rdamedia cr rdacarrier Cambridge medicine 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 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 Endometrium / Cancer / Diagnosis Parkash, Vinita Sonstige oth Erscheint auch als Druckausgabe 978-1-107-44233-7 https://doi.org/10.1017/CBO9781139628976 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Fadare, Oluwole Diagnosis of neoplasia in endometrial biopsies a pattern-based and algorithmic approach 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 Endometrium / Cancer / Diagnosis |
title | Diagnosis of neoplasia in endometrial biopsies a pattern-based and algorithmic approach |
title_auth | Diagnosis of neoplasia in endometrial biopsies a pattern-based and algorithmic approach |
title_exact_search | Diagnosis of neoplasia in endometrial biopsies a pattern-based and algorithmic approach |
title_full | Diagnosis of neoplasia in endometrial biopsies a pattern-based and algorithmic approach Oluwole Fadare, Vinita Parkash |
title_fullStr | Diagnosis of neoplasia in endometrial biopsies a pattern-based and algorithmic approach Oluwole Fadare, Vinita Parkash |
title_full_unstemmed | Diagnosis of neoplasia in endometrial biopsies a pattern-based and algorithmic approach Oluwole Fadare, Vinita Parkash |
title_short | Diagnosis of neoplasia in endometrial biopsies |
title_sort | diagnosis of neoplasia in endometrial biopsies a pattern based and algorithmic approach |
title_sub | a pattern-based and algorithmic approach |
topic | Endometrium / Cancer / Diagnosis |
topic_facet | Endometrium / Cancer / Diagnosis |
url | https://doi.org/10.1017/CBO9781139628976 |
work_keys_str_mv | AT fadareoluwole diagnosisofneoplasiainendometrialbiopsiesapatternbasedandalgorithmicapproach AT parkashvinita diagnosisofneoplasiainendometrialbiopsiesapatternbasedandalgorithmicapproach |