Literature DB >> 32069078

Value of Intratumoral Metabolic Heterogeneity and Quantitative 18F-FDG PET/CT Parameters in Predicting Prognosis for Patients With Cervical Cancer.

Daniella F Pinho1, Brent King1, Yin Xi1,2, Kevin Albuquerque3, Jayanthi Lea4, Rathan M Subramaniam1.   

Abstract

OBJECTIVE. The purpose of this study is to evaluate the prognostic value of quantitative metabolic parameters from pretreatment PET/CT scans of patients with squamous cell cervical cancer. MATERIALS AND METHODS. This retrospective study included 120 patients with biopsy-proven squamous cell carcinoma of the cervix who underwent FDG PET/CT for initial tumor staging. The primary tumor maximum standardized uptake value (SUVmax) and mean standardized uptake value (SUVmean), tumor glycolytic activity, metabolic tumor volume (MTV), and metabolic intratumoral heterogeneity index (calculated as the AUC for the cumulative standardized uptake value [SUV]-volume histogram [CSH] index) were obtained. Information on patient demographic characteristics and tumor staging were collected. Median follow-up was 27.5 months. Overall survival (OS) and progression-free survival (PFS) were calculated using a multivariate Cox proportional hazards regression model and log-rank (Mantel-Cox) test to generate Kaplan-Meier survival plots. RESULTS. The mean (± SD) age of the patients was 54.4 ± 13.1 years. Twenty-two patients had stage I disease; 58, stage II; 23, stage III; and 17, stage IV. Thirty-three patients died, 82 were living, and five were lost to follow-up and were censored; 29 patients had disease progression. The median survival was 74.9 months (95% CI, 63.6-86.9 months). A higher MTV was significantly associated with reduced OS in multivariate analysis (hazard ratio, 1.085; 95% CI, 1.036-1.136; p = 0.0005). A higher AUC-CSH index (denoting lower tumor heterogeneity) was significantly associated with increased OS (hazard ratio, 0.662; 95% CI, 0.448-0.979; p = 0.04) and PFS (hazard ratio, 0.683; 95% CI, 0.471-0.991; p = 0.045) in multivariate analysis. Kaplan-Meier survival analysis using the median value for MTV (61 mL) significantly predicted OS (p = 0.0009). CONCLUSION. Tumor heterogeneity on pretreatment PET/CT is associated with OS and PFS in patients with cervical cancer. MTV is significantly associated with OS.

Entities:  

Keywords:  PET/CT; cervical cancer; metabolic heterogeneity

Year:  2020        PMID: 32069078     DOI: 10.2214/AJR.19.21604

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  8 in total

1.  Assessing dynamic metabolic heterogeneity in non-small cell lung cancer patients via ultra-high sensitivity total-body [18F]FDG PET/CT imaging: quantitative analysis of [18F]FDG uptake in primary tumors and metastatic lymph nodes.

Authors:  DaQuan Wang; Xu Zhang; Bo Qiu; SongRan Liu; Hui Liu; ChaoJie Zheng; Jia Fu; YiWen Mo; NaiBin Chen; Rui Zhou; Chu Chu; FangJie Liu; JinYu Guo; Yin Zhou; Yun Zhou; Wei Fan; Hui Liu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-07-11       Impact factor: 10.057

2.  The prognostic value of 18F-FDG PET/CT intra-tumoural metabolic heterogeneity in pretreatment neuroblastoma patients.

Authors:  Jun Liu; Yukun Si; Ziang Zhou; Xu Yang; Cuicui Li; Luodan Qian; Li Juan Feng; Mingyu Zhang; Shu Xin Zhang; Jie Liu; Ying Kan; Jianhua Gong; Jigang Yang
Journal:  Cancer Imaging       Date:  2022-07-05       Impact factor: 5.605

Review 3.  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

4.  Pretreatment [18F]FDG PET/CT Prognostic Factors in Patients with Squamous Cell Cervical Carcinoma FIGO IIIC1.

Authors:  Ewa Burchardt; Wojciech Burchardt; Paulina Cegła; Anna Kubiak; Andrzej Roszak; Witold Cholewiński
Journal:  Diagnostics (Basel)       Date:  2021-04-16

5.  MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy.

Authors:  Xiaomiao Zhang; Jingwei Zhao; Qi Zhang; Sicong Wang; Jieying Zhang; Jusheng An; Lizhi Xie; Xiaoduo Yu; Xinming Zhao
Journal:  Cancer Imaging       Date:  2022-07-16       Impact factor: 5.605

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

7.  Habitat radiomics analysis of pet/ct imaging in high-grade serous ovarian cancer: Application to Ki-67 status and progression-free survival.

Authors:  Xinghao Wang; Chen Xu; Marcin Grzegorzek; Hongzan Sun
Journal:  Front Physiol       Date:  2022-08-25       Impact factor: 4.755

8.  Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type.

Authors:  Rui Guo; Xiaobin Hu; Haoming Song; Pengpeng Xu; Haoping Xu; Axel Rominger; Xiaozhu Lin; Bjoern Menze; Biao Li; Kuangyu Shi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-20       Impact factor: 9.236

  8 in total

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