Document Detail


Invasive squamous cell carcinoma of the uterine cervix. IX. Construction of a partial index in a histopathologic malignancy grading system.
MedLine Citation:
PMID:  2988275     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A malignancy grading system (MGS) for invasive squamous cell carcinoma of the uterine cervix, consisting of four items for the tumour-cell population and four items for the tumour-host relationship, proved to have a good prognostic capacity. A correlation analysis based on 161 patients with invasive squamous cell carcinoma of the uterine cervix in stages I and II was evaluated. The relationships between survival/lethality ratio (S/L) and all single items, MGS, and a reduced partial index were compared. The study showed good agreement with previous studies on another partial index. The MGS had the best predictive value. The items of the tumour-cell population had no significant predictive value. According to a regression analysis, items for the tumour-host relationship or the items vascular invasion and host-cellular response alone could be used without any substantial loss of predictive capacity compared with the MGS. However, the MGS remains the most complete and adequate classification for invasive squamous cell carcinoma of the uterine cervix.
Authors:
H Willén; G Eklund
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Acta radiologica. Oncology     Volume:  24     ISSN:  0349-652X     ISO Abbreviation:  Acta Radiol Oncol     Publication Date:    1985 Mar-Apr
Date Detail:
Created Date:  1985-07-02     Completed Date:  1985-07-02     Revised Date:  2006-12-05    
Medline Journal Info:
Nlm Unique ID:  8209606     Medline TA:  Acta Radiol Oncol     Country:  SWEDEN    
Other Details:
Languages:  eng     Pagination:  133-8     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Carcinoma, Squamous Cell / pathology*
Female
Humans
Prognosis
Regression Analysis
Retrospective Studies
Uterine Cervical Neoplasms / pathology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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