Literature DB >> 19761126

Perineural invasion in early-stage cervical carcinoma.

H Ozan1, S Ozuysal, B Ediz.   

Abstract

PURPOSE: Evaluation of the association between perineural invasion (PNI) and predictive and prognostic factors in early-stage cervical carcinoma patients treated with surgery.
METHODS: Fifteen PNI (+) and 21 PNI (-) early-stage cervical carcinoma patients, primarily treated by surgery, were evaluated retrospectively. Patients' complete blood counts and biochemistry tests, tumoral prognostic parameters, PNI status, postoperative treatment, recurrence and survival data were obtained from the records.
RESULTS: The percentage of mean depth of stromal invasion was significantly higher in the PNI (+) group (p < or = 0.05). Vaginal (p < or = 0.05) and uterine (p < or = 0.01) invasion of the tumor were significantly more prevalent in the PNI (+) group. Lymphovascular space invasion, in particular lymphatic invasion (p < or = 0.05), but not vascular invasion (p > 0.05) was significantly more prevalent in the PNI (+) group.
CONCLUSION: PNI is closely related with stromal invasion in percentage, vaginal and uterine involvement and lymphatic invasion of the tumor.

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Year:  2009        PMID: 19761126

Source DB:  PubMed          Journal:  Eur J Gynaecol Oncol        ISSN: 0392-2936            Impact factor:   0.196


  3 in total

1.  Perineural invasion in early-stage cervical cancer and its relevance following surgery.

Authors:  Yi Zhu; Guonan Zhang; Yan Yang; Ling Cui; Shijun Jia; Yu Shi; Shuiqin Song; Shiqiang Xu
Journal:  Oncol Lett       Date:  2018-02-26       Impact factor: 2.967

2.  Perineural Invasion Should Be Regarded as an Intermediate-Risk Factor for Recurrence in Surgically Treated Cervical Cancer: A Propensity Score Matching Study.

Authors:  Ting Wan; Hua Tu; Lili Liu; He Huang; Yanling Feng; Jihong Liu
Journal:  Dis Markers       Date:  2021-08-03       Impact factor: 3.434

3.  Preoperative Evaluation of Perineural Invasion in Cervical Cancer: Development and Independent Validation of a Novel Predictive Nomogram.

Authors:  Ting Wan; Guangyao Cai; Shangbin Gao; Yanling Feng; He Huang; Lili Liu; Jihong Liu
Journal:  Front Oncol       Date:  2021-12-23       Impact factor: 6.244

  3 in total

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