Literature DB >> 32635657

Nomogram Predicting the Likelihood of Parametrial Involvement in Early-Stage Cervical Cancer: Avoiding Unjustified Radical Hysterectomies.

Louise Benoit1, Vincent Balaya1,2, Benedetta Guani2,3, Arnaud Bresset4, Laurent Magaud5, Helene Bonsang-Kitzis6, Charlotte Ngô6, Patrice Mathevet2,3, Fabrice Lécuru1,7.   

Abstract

BACKGROUND: We aimed to establish a tool predicting parametrial involvement (PI) in patients with early-stage cervical cancer and select a sub-group of patients who would most benefit from a less radical surgery.
METHODS: We retrospectively reviewed patients from two prospective multicentric databases-SENTICOL I and II-from 2005 to 2012. Patients with early-stage cervical cancer (FIGO 2018 IA with lympho-vascular involvement to IIA1), undergoing radical surgery (hysterectomy or trachelectomy) with bilateral sentinel lymph node (SLN) mapping with no metastatic node or PI on pre-operative imaging, were included.
RESULTS: In total, 5.2% patients (11/211) presented a histologic PI. After univariate analysis, SLN status, lympho-vascular space invasion, deep stromal invasion and tumor size were significantly associated with PI and were included in our nomogram. Our predictive model had an AUC of 0.92 (IC95% = 0.86-0.98) and presented a good calibration. A low risk group, defined according to the optimal sensitivity and specificity, presented a predicted probability of PI of 2%.
CONCLUSION: Patients could benefit from a two-step approach. Final surgery (i.e. radical surgery and/or lymphadenectomy) would depend on the SLN status and the probability PI calculated after an initial conization with bilateral SLN mapping.

Entities:  

Keywords:  cervical cancer; nomogram; parametrial involvement; parametrium; radical hysterectomy; radical trachelectomy

Year:  2020        PMID: 32635657     DOI: 10.3390/jcm9072121

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  5 in total

1.  What are the determinants of parametrial invasion in patients with early stage cervical cancer: A cross sectional study.

Authors:  Niloufar Hoorshad; Narges Zamani; Shahrzad Sheikh Hasani; Amirhossein Poopak; Amirsina Sharifi
Journal:  Ann Med Surg (Lond)       Date:  2022-06-20

2.  Lymph Node Involvement in Early-Stage Cervical Cancer: Is Lymphangiogenesis a Risk Factor? Results from the MICROCOL Study.

Authors:  Matteo Tantari; Stefano Bogliolo; Matteo Morotti; Vincent Balaya; Florent Bouttitie; Annie Buenerd; Laurent Magaud; Fabrice Lecuru; Benedetta Guani; Patrice Mathevet
Journal:  Cancers (Basel)       Date:  2022-01-02       Impact factor: 6.639

3.  Development and validation of a prognostic nomogram for 2018 FIGO stages IB1, IB2, and IIA1 cervical cancer: a large multicenter study.

Authors:  Xiaolin Chen; Hui Duan; Ping Liu; Lihong Lin; Yan Ni; Donglin Li; Encheng Dai; Xuemei Zhan; Pengfei Li; Zhifeng Huo; Xiaonong Bin; Jinghe Lang; Chunlin Chen
Journal:  Ann Transl Med       Date:  2022-01

4.  Sentinel Node Biopsy by Transvaginal Natural Orifice Transluminal Endoscopic Surgery in a Patient with Early-Stage Cervical Cancer: A Case Report.

Authors:  Yannick Hurni; Daniela E Huber
Journal:  Case Rep Oncol       Date:  2022-05-20

5.  Predicting the Recurrence of Operable Cervical Cancer Patients Based on Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score and Classical Clinicopathological Parameters.

Authors:  Peng Jiang; Wei Kong; Chunxia Gong; Yanlin Chen; Fenglian Li; Lingya Xu; Yang Yang; Shikai Gou; Zhuoying Hu
Journal:  J Inflamm Res       Date:  2022-09-12
  5 in total

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