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Nuclear morphometry : a strong prognostic factor for survival after secondary surgery in advanced ovarian cancer

Högberg, T. LU ; Wang, G. ; Risberg, B. ; Guerrieri, C. ; Hittson, J. ; Boeryd, B. ; K>gedal, B. and Simonsen, E. (1992) In International Journal of Gynecological Cancer 2(4). p.198-206
Abstract

Nuclear morphometry was performed on the diagnostic biopsy in 65 cases of non-mucinous ovarian carcinoma (FIGO stage IIB-IV) and its prognostic value regarding patient survival after the second-look operation was compared to that of morphology and clinical observations. In a univariate Cox survival analysis four morphometric factors were found to be significant predictors of survival (the standard deviations (SD) of the nuclear area, perimeter, largest perpendicular axis, and largest axis). Age, the size of residual tumor after the primary operation, and a combined variable describing the status at the second-look operation and also the result of tumor reduction were significant clinical variables. None of the morphologic variables... (More)

Nuclear morphometry was performed on the diagnostic biopsy in 65 cases of non-mucinous ovarian carcinoma (FIGO stage IIB-IV) and its prognostic value regarding patient survival after the second-look operation was compared to that of morphology and clinical observations. In a univariate Cox survival analysis four morphometric factors were found to be significant predictors of survival (the standard deviations (SD) of the nuclear area, perimeter, largest perpendicular axis, and largest axis). Age, the size of residual tumor after the primary operation, and a combined variable describing the status at the second-look operation and also the result of tumor reduction were significant clinical variables. None of the morphologic variables proved to be significant. In the multivariate Cox analysis the SD of the largest perpendicular nuclear axis gave independent prognostic information together with either the size of residual tumor after the primary laparotomy (P = 0.00004) or the second-look variable (P < 0.00001). When the SD of the largest perpendicular nuclear axis and the second-look variables were included in the model the size of residual tumor after the primary operation added no further prognostic information. We conclude that nuclear morphometry is a simple, easily implemented and cheap quantitative method which gives objective and valuable prognostic information regarding survival in advanced ovarian cancer.

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author
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publishing date
type
Contribution to journal
publication status
published
subject
in
International Journal of Gynecological Cancer
volume
2
issue
4
pages
198 - 206
publisher
BMJ Publishing Group
external identifiers
  • pmid:11576259
  • scopus:0010577634
ISSN
1048-891X
DOI
10.1046/j.1525-1438.1992.02040198.x
language
English
LU publication?
no
id
f772c418-c999-4be2-88d1-7f99f27334f5
date added to LUP
2019-09-20 08:16:29
date last changed
2024-01-01 20:57:20
@article{f772c418-c999-4be2-88d1-7f99f27334f5,
  abstract     = {{<p>Nuclear morphometry was performed on the diagnostic biopsy in 65 cases of non-mucinous ovarian carcinoma (FIGO stage IIB-IV) and its prognostic value regarding patient survival after the second-look operation was compared to that of morphology and clinical observations. In a univariate Cox survival analysis four morphometric factors were found to be significant predictors of survival (the standard deviations (SD) of the nuclear area, perimeter, largest perpendicular axis, and largest axis). Age, the size of residual tumor after the primary operation, and a combined variable describing the status at the second-look operation and also the result of tumor reduction were significant clinical variables. None of the morphologic variables proved to be significant. In the multivariate Cox analysis the SD of the largest perpendicular nuclear axis gave independent prognostic information together with either the size of residual tumor after the primary laparotomy (P = 0.00004) or the second-look variable (P &lt; 0.00001). When the SD of the largest perpendicular nuclear axis and the second-look variables were included in the model the size of residual tumor after the primary operation added no further prognostic information. We conclude that nuclear morphometry is a simple, easily implemented and cheap quantitative method which gives objective and valuable prognostic information regarding survival in advanced ovarian cancer.</p>}},
  author       = {{Högberg, T. and Wang, G. and Risberg, B. and Guerrieri, C. and Hittson, J. and Boeryd, B. and K>gedal, B. and Simonsen, E.}},
  issn         = {{1048-891X}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{198--206}},
  publisher    = {{BMJ Publishing Group}},
  series       = {{International Journal of Gynecological Cancer}},
  title        = {{Nuclear morphometry : a strong prognostic factor for survival after secondary surgery in advanced ovarian cancer}},
  url          = {{http://dx.doi.org/10.1046/j.1525-1438.1992.02040198.x}},
  doi          = {{10.1046/j.1525-1438.1992.02040198.x}},
  volume       = {{2}},
  year         = {{1992}},
}