Literature DB >> 32034109

18F-FDG PET/CT Identifies Predictors of Survival in Patients with Locally Advanced Cervical Carcinoma and Paraaortic Lymph Node Involvement to Allow Intensification of Treatment.

Hélène Leray1, Erwan Gabiache2, Frédéric Courbon2, Isabelle Brenot-Rossi3, Hélène Colineaux4, Benoît Lepage4, Eric Lambaudie5, Alejandra Martinez1, Marie Voglimacci1, Ariane Weyl1, Marion Deslandres6, Anne Ducassou7, Stéphanie Motton1, Charlotte Vaysse1, Elodie Chantalat8.   

Abstract

Our objective was to use 18F-FDG PET/CT to identify a high-risk subgroup requiring therapeutic intensification among patients with locally advanced cervical cancer (LACC) and paraaortic lymph node (PALN) involvement.
Methods: In this retrospective multicentric study, patients with LACC and PALN involvement concurrently treated with chemoradiotherapy and extended-field radiotherapy between 2006 and 2016 were included. A senior nuclear medicine specialist in PET for gynecologic oncology reviewed all 18F-FDG PET/CT scans. Metabolic parameters including SUVmax, metabolic tumor volume, and total lesion glycolysis (TLG) were determined for the primary tumor, pelvic lymph nodes, and PALNs. Associations between these parameters and overall survival (OS) were assessed with the Cox proportional hazards model.
Results: Sixty-eight patients were enrolled in the study. Three-year OS was 55.5% (95% confidence interval, 40.8-68.0). When adjusted for age, stage, and histology, pelvic lymph node TLG, PALN TLG, and PALN SUVmax were significantly associated with OS (P < 0.005).
Conclusion: 18F-FDG PET/CT was able to identify predictors of survival in the homogeneous subgroup of patients with LACC and PALN involvement, thus allowing therapeutic intensification to be proposed.
© 2020 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  18F-FDG PET/CT; SUVmax; locally advanced cervical cancer; paraaortic lymph node involvement; total lesion glycolysis

Year:  2020        PMID: 32034109     DOI: 10.2967/jnumed.119.238824

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  6 in total

Review 1.  Diagnostic Accuracy of 18F-FDG-PET/CT and MRI in Predicting the Tumor Response in Locally Advanced Cervical Carcinoma Treated by Chemoradiotherapy: A Meta-Analysis.

Authors:  Sharareh Sanei Sistani; Fateme Parooie; Morteza Salarzaei
Journal:  Contrast Media Mol Imaging       Date:  2021-03-02       Impact factor: 3.161

Review 2.  Para-aortic lymph node involvement in cervical cancer: Implications for staging, outcome and treatment.

Authors:  T S Shylasree; Lavanya Gurram; Ushashree Das
Journal:  Indian J Med Res       Date:  2021-08       Impact factor: 5.274

3.  Identification and validation of a six-gene signature associated with glycolysis to predict the prognosis of patients with cervical cancer.

Authors:  Luya Cai; Chuan Hu; Shanshan Yu; Lixiao Liu; Xiaobo Yu; Jiahua Chen; Xuan Liu; Fan Lin; Cheng Zhang; Wenfeng Li; Xiaojian Yan
Journal:  BMC Cancer       Date:  2020-11-23       Impact factor: 4.430

4.  Effect of Kegel Pelvic Floor Muscle Exercise Combined with Clean Intermittent Self-catheterization on urinary retention after radical hysterectomy for cervical cancer.

Authors:  Jingjing Zong; Minghui You; Chen Li
Journal:  Pak J Med Sci       Date:  2022 Mar-Apr       Impact factor: 1.088

5.  Metabolic activity determines survival depending on the level of lymph node involvement in cervical cancer.

Authors:  Alejandra Martinez; Elodie Chantalat; Martina Aida Angeles; Gwénaël Ferron; Anne Ducassou; Manon Daix; Justine Attal; Sarah Bétrian; Amélie Lusque; Erwan Gabiache
Journal:  BMC Cancer       Date:  2022-07-23       Impact factor: 4.638

6.  The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy.

Authors:  Sara Pedraza; Alexander P Seiffert; Pilar Sarandeses; Beatriz Muñoz-Lopez; Enrique J Gómez; Patricia Sánchez-González; José F Pérez-Regadera
Journal:  Strahlenther Onkol       Date:  2022-01-24       Impact factor: 4.033

  6 in total

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