Pattern-based classification of invasive endocervical adenocarcinoma, depth of invasion measurement and distinction from adenocarcinoma in situ: interobserver variation among gynecologic pathologists-Reference-Cited by-同舟云学术

Pattern-based classification of invasive endocervical adenocarcinoma, depth of invasion measurement and distinction from adenocarcinoma in situ: interobserver variation among gynecologic pathologists

Published:2016-05-13 Issue:8 Volume:29 Page:879-892
ISSN:0893-3952
Container-title:Modern Pathology
language:en
Short-container-title:Mod Pathol

Author:

Parra-Herran Carlos^ORCID,Taljaard Monica,Djordjevic Bojana,Reyes M Carolina,Schwartz Lauren,Schoolmeester John K,Lastra Ricardo R,Quick Charles M,Laury Anna,Rasty Golnar,Nucci Marisa R,Howitt Brooke E

Publisher

Springer Science and Business Media LLC

Subject

Pathology and Forensic Medicine

Link

http://www.nature.com/articles/modpathol201686.pdf

Reference23 articles.

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2. Diaz De Vivar A, Roma AA, Park KJ et al. Invasive endocervical adenocarcinoma: proposal for a new pattern-based classification system with significant clinical implications: a multi-institutional study. Int J Gynecol Pathol 2013;32:592–601.

3. Roma AA, Diaz De Vivar A, Park KJ et al. Invasive endocervical adenocarcinoma: a new pattern-based classification system with important clinical significance. Am J Surg Pathol 2015;39:667–672.

4. Jeffus SK, Quick CM, Stolnicu S et al. Tumor growth pattern can predict nodal metastasis: a study of 130 cases of endocervical adenocarcinoma. Mod Pathol 28:292A.

5. Djordjevic B, Parra-Herran C . Application of a pattern-based classification system for invasive endocervical adenocarcinoma in cervical biopsy, cone and loop electrosurgical excision (LEEP) material: pattern on cone and LEEP is predictive of pattern in the overall tumor. Int J Gynecol Pathol 2015:1–11; e-pub ahead of print; PMID:26630232.

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