Literature DB >> 23792602

Lacunae in International Federation of Gynecology and Obstetrics (FIGO) classification for cervical carcinoma: observational study using TNM classification as comparator.

Jignesh Meva1, Rahul K Chaudhary, Debanshu Bhaduri, Manish Bhatia, Sharanabasappa Hatti, Roshan Ba.   

Abstract

PURPOSE: International Federation of Gynecology and Obstetrics (FIGO) staging for cervical cancer does not yet consider findings of cross-sectional imaging unlike clinical tumor, node, and metastasis (TNM) staging system. We compare the two with regard to accuracy in pretreatment staging and their reliability in the prediction of prognosis.
MATERIALS AND METHODS: This was an observational study of patients with biopsy-proven nonmetastatic cervical carcinoma. Pretreatment evaluation of patients was done by clinical assessment and contrast-enhanced computed tomographic scan of the pelvis to stage the disease with FIGO and clinical TNM (cTNM) system, respectively. The extent of discordance between the 2 staging systems were studied in assessing stage of disease, correlation with histopathologic classification in patients who were operated on, and in prediction of prognosis.
RESULTS: The study included 54 patients. Seventeen of 19 patients with early-stage disease underwent upfront radical surgery; and in 59% of these, FIGO did not match with final histopathologic TNM (pTNM), but only in 23% patients, cTNM did not match with histopathological TNM (P = 0.02). Sensitivity of computed tomographic scan to pick up lymph node metastasis was 85% in early disease. Stage migration rates to higher stage when considering imaging findings in stage I, stage IIA, and stage IIB were 25%, 71%, and 37%, respectively. Thirty-four percent of stage IIIB disease was downstaged with cTNM. Lymph node positivity by cTNM was a strong pointer of recurrence (P = 0.01).
CONCLUSIONS: Pretreatment cross-sectional imaging may help avoid undue surgery in patients with cervical cancer with positive lymph nodes and may help in a more accurate assessment of prognosis.

Entities:  

Mesh:

Year:  2013        PMID: 23792602     DOI: 10.1097/IGC.0b013e31829783c4

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  4 in total

1.  Five serum microRNAs for detection and predicting of ovarian cancer.

Authors:  Weiwei Wang; Li-Rong Wu; Chunyu Li; Xin Zhou; Ping Liu; Xuemei Jia; Yan Chen; Wei Zhu
Journal:  Eur J Obstet Gynecol Reprod Biol X       Date:  2019-04-06

2.  The role and significance of magnetic resonance imaging and miRNA-125b expression level in diagnosis of head and neck squamous cell carcinoma.

Authors:  Qibiao Huang; Xiao Zhang; Biao Gong; Dongquan Ge
Journal:  Postepy Dermatol Alergol       Date:  2021-10-25       Impact factor: 1.837

3.  MicroRNA-124-3p inhibits cell growth and metastasis in cervical cancer by targeting IGF2BP1.

Authors:  Ping Wang; Li Zhang; Junhui Zhang; Gangshu Xu
Journal:  Exp Ther Med       Date:  2017-11-17       Impact factor: 2.447

4.  Prognostic and predictive roles of microRNA‑411 and its target STK17A in evaluating radiotherapy efficacy and their effects on cell migration and invasion via the p53 signaling pathway in cervical cancer.

Authors:  Wei Wei; Cun Liu
Journal:  Mol Med Rep       Date:  2019-11-20       Impact factor: 2.952

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.