The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system

J.P. Baak; G.L. Mutter; S. Robboy; P.J. van Diest; A.M. Uyterlinde; A. Orbo; J. Palazzo; B. Fiane; K. Lovslett; C. Burger; F. Voorhorst; R.H. Verheijen

The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system

Translated title of the contribution: The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system

J.P. Baak
, G.L. Mutter
, S. Robboy
, P.J. van Diest
, A.M. Uyterlinde
, A. Orbo
, J. Palazzo
, B. Fiane
, K. Lovslett
, C. Burger
, F. Voorhorst
, R.H. Verheijen

Department of Pathology

Research output: Contribution to journal › Article › Academic › peer-review

Translated title of the contribution	The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system
Original language	Undefined/Unknown
Pages (from-to)	2304-2312
Number of pages	9
Journal	Cancer
Volume	103
Issue number	11
Publication status	Published - 2005

Keywords

Econometric and Statistical Methods: General
Geneeskunde (GENK)
Geneeskunde(GENK)
Algemeen onderzoek
Internal medicine

Cite this

Baak, J. P., Mutter, G. L., Robboy, S., van Diest, P. J., Uyterlinde, A. M., Orbo, A., Palazzo, J., Fiane, B., Lovslett, K., Burger, C., Voorhorst, F., & Verheijen, R. H. (2005). The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system. Cancer, 103(11), 2304-2312.

@article{bac53f3c11ff4aaabe63ee5eed44dbf0,

title = "The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system",

keywords = "Econometric and Statistical Methods: General, Geneeskunde (GENK), Geneeskunde(GENK), Algemeen onderzoek, Internal medicine",

author = "J.P. Baak and G.L. Mutter and S. Robboy and \{van Diest\}, P.J. and A.M. Uyterlinde and A. Orbo and J. Palazzo and B. Fiane and K. Lovslett and C. Burger and F. Voorhorst and R.H. Verheijen",

year = "2005",

language = "Undefined/Unknown",

volume = "103",

pages = "2304--2312",

journal = "Cancer",

issn = "0008-543X",

publisher = "John Wiley \& Sons Inc.",

number = "11",

}

Baak, JP, Mutter, GL, Robboy, S, van Diest, PJ, Uyterlinde, AM, Orbo, A, Palazzo, J, Fiane, B, Lovslett, K, Burger, C, Voorhorst, F & Verheijen, RH 2005, 'The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system', Cancer, vol. 103, no. 11, pp. 2304-2312.

The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system. / Baak, J.P.; Mutter, G.L.; Robboy, S. et al.
In: Cancer, Vol. 103, No. 11, 2005, p. 2304-2312.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - The molecular genetics and morphometry-based endometrial intraepithelial neoplasia classification system predicts disease progression in endometrial hyperplasia more accurately than the 1994 World Health Organization classification system

AU - Baak, J.P.

AU - Mutter, G.L.

AU - Robboy, S.

AU - van Diest, P.J.

AU - Uyterlinde, A.M.

AU - Orbo, A.

AU - Palazzo, J.

AU - Fiane, B.

AU - Lovslett, K.

AU - Burger, C.

AU - Voorhorst, F.

AU - Verheijen, R.H.

PY - 2005

Y1 - 2005

KW - Econometric and Statistical Methods: General

KW - Geneeskunde (GENK)

KW - Geneeskunde(GENK)

KW - Algemeen onderzoek

KW - Internal medicine

M3 - Article

SN - 0008-543X

VL - 103

SP - 2304

EP - 2312

JO - Cancer

JF - Cancer

IS - 11

ER -