Literature DB >> 22772064

18F-FDG PET/CT can predict nodal metastases but not recurrence in early stage uterine cervical cancer.

Cinzia Crivellaro1, Mauro Signorelli, Luca Guerra, Elena De Ponti, Alessandro Buda, Carlotta Dolci, Cecilia Pirovano, Sergio Todde, Robert Fruscio, Cristina Messa.   

Abstract

OBJECTIVES: To evaluate the role of the metabolic characteristics of cervical tumor uptake as predictors of a) lymph node (LN) metastases, b) recurrence, in the preoperative staging of early-stage cervical cancer.
METHODS: 89 patients with FIGO stage IB1 and IIA<4 cm cervical cancer were imaged with FDG-PET/CT before radical hysterectomy and pelvic lymphadenectomy. PET/CT images were analyzed and correlated to histological findings. Maximum and mean standardized uptake value (SUVmax, SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG) of cervical lesions were calculated by an iterative adaptive algorithm. These parameters were correlated to the presence of: a) LN metastases, b) relapse after primary treatment.
RESULTS: Out of the 89 patients who underwent preoperative PET/CT scan for staging purpose, 16 were negative at cervical level: they were all pN0 and without recurrence during follow-up (mean 34.1±14.5 months). In 69 patients MTV and TLG were significantly higher (p=0.0006 and p=0.03) in pN1 patients in comparison to pN0 patients, while SUV values did not show significant differences between the two groups. No significant correlations were found between SUVmax, SUVmean, MTV, TLG and the evidence of relapse (mean follow-up 29.2±15.5 months).
CONCLUSIONS: In early-stage cervical cancer MTV and TLG correlate with the presence of nodal metastases, but their clinical impact on patients management has to be clarified. The absence of pathological cervical uptake could be a good prognostic factor, while SUVmax, SUVmean, MTV, TLG of the cervical uptake have not been found predictors of recurrence.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22772064     DOI: 10.1016/j.ygyno.2012.06.041

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  25 in total

1.  Outcome of stage IB2-IIB patients with bulky uterine cervical cancer who underwent neoadjuvant chemotherapy followed by radical hysterectomy.

Authors:  Kazunori Uegaki; Muneaki Shimada; Seiya Sato; Imari Deura; Jun Naniwa; Shinya Sato; Tetsuro Oishi; Hiroaki Itamochi; Tasuku Harada; Junzo Kigawa
Journal:  Int J Clin Oncol       Date:  2013-04-17       Impact factor: 3.402

2.  The combination of preoperative PET/CT and sentinel lymph node biopsy in the surgical management of early-stage cervical cancer.

Authors:  Andrea Papadia; Maria Luisa Gasparri; Sophie Genoud; Klaeser Bernd; Michael D Mueller
Journal:  J Cancer Res Clin Oncol       Date:  2017-07-01       Impact factor: 4.553

3.  Primary tumor SUVmax on preoperative FDG-PET/CT is a prognostic indicator in stage IA2-IIB cervical cancer patients treated with radical hysterectomy.

Authors:  Shigetaka Yagi; Tamaki Yahata; Yasushi Mabuchi; Yuko Tanizaki; Aya Kobayashi; Michihisa Shiro; Nami Ota; Sawako Minami; Masaki Terada; Kazuhiko Ino
Journal:  Mol Clin Oncol       Date:  2016-07-07

4.  Complementary Prognostic Value of Pelvic Magnetic Resonance Imaging and Whole-Body Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in the Pretreatment Assessment of Patients With Cervical Cancer.

Authors:  Evis Sala; Maura Micco; Irene A Burger; Derya Yakar; Marisa A Kollmeier; Debra A Goldman; Mithat Gonen; Kay J Park; Nadeem R Abu-Rustum; Hedvig Hricak; Hebert Alberto Vargas
Journal:  Int J Gynecol Cancer       Date:  2015-10       Impact factor: 3.437

5.  Pretreatment metabolic tumour volume and total lesion glycolysis are not independent prognosticators for locally advanced cervical cancer patients treated with chemoradiotherapy.

Authors:  Ozan Cem Guler; Nese Torun; Berna Akkus Yildirim; Cem Onal
Journal:  Br J Radiol       Date:  2018-01-10       Impact factor: 3.039

6.  Automatic PET cervical tumor segmentation by combining deep learning and anatomic prior.

Authors:  Liyuan Chen; Chenyang Shen; Zhiguo Zhou; Genevieve Maquilan; Kevin Albuquerque; Michael R Folkert; Jing Wang
Journal:  Phys Med Biol       Date:  2019-04-12       Impact factor: 3.609

7.  Diffusion-Weighted Magnetic Resonance Imaging as a Predictor of Outcome in Cervical Cancer After Chemoradiation.

Authors:  Jennifer C Ho; Pamela K Allen; Priya R Bhosale; Gaiane M Rauch; Clifton D Fuller; Abdallah S R Mohamed; Michael Frumovitz; Anuja Jhingran; Ann H Klopp
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-11-17       Impact factor: 7.038

8.  Volumetric assessment of apparent diffusion coefficient predicts outcome following chemoradiation for cervical cancer.

Authors:  Jennifer C Ho; Penny Fang; Carlos E Cardenas; Abdallah S R Mohamed; Clifton D Fuller; Pamela K Allen; Priya R Bhosale; Michael M Frumovitz; Anuja Jhingran; Ann H Klopp
Journal:  Radiother Oncol       Date:  2019-03-11       Impact factor: 6.280

9.  Chemoradiotherapy for locally advanced cervix cancer without aortic lymph node involvement: can we consider metabolic parameters of pretherapeutic FDG-PET/CT for treatment tailoring?

Authors:  Marie Voglimacci; Erwan Gabiache; Amélie Lusque; Gwenaël Ferron; Anne Ducassou; Denis Querleu; Stéphanie Motton; Elodie Chantalat; Frédéric Courbon; Alejandra Martinez
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-02-07       Impact factor: 9.236

10.  Investigating multi-radiomic models for enhancing prediction power of cervical cancer treatment outcomes.

Authors:  Baderaldeen A Altazi; Daniel C Fernandez; Geoffrey G Zhang; Samuel Hawkins; Syeda M Naqvi; Youngchul Kim; Dylan Hunt; Kujtim Latifi; Matthew Biagioli; Puja Venkat; Eduardo G Moros
Journal:  Phys Med       Date:  2018-02-21       Impact factor: 2.685

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