↓ Skip to main content

Pre-treatment MRI minimum apparent diffusion coefficient value is a potential prognostic imaging biomarker in cervical cancer patients treated with definitive chemoradiation

Overview of attention for article published in BMC Cancer, July 2016
Altmetric Badge

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
43 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Pre-treatment MRI minimum apparent diffusion coefficient value is a potential prognostic imaging biomarker in cervical cancer patients treated with definitive chemoradiation
Published in
BMC Cancer, July 2016
DOI 10.1186/s12885-016-2619-0
Pubmed ID
Authors

Daniel Grossi Marconi, Jose Humberto Tavares Guerreiro Fregnani, Rodrigo Ribeiro Rossini, Ana Karina Borges Junqueira Netto, Fabiano Rubião Lucchesi, Audrey Tieko Tsunoda, Mitchell Kamrava

Abstract

Diffusion Weighted (DW) Magnetic Resonance Imaging (MRI) has been studed in several cancers including cervical cancer. This study was designed to investigate the association of DW-MRI parameters with baseline clinical features and clinical outcomes (local regional control (LRC), disease free survival (DFS) and disease specific survival (DSS)) in cervical cancer patients treated with definitive chemoradiation. This was a retrospective study approved by an institutional review board that included 66 women with cervical cancer treated with definitive chemoradiation who underwent pre-treatment MRI at our institution between 2012 and 2013. A region of interest (ROI) was manually drawn by one of three radiologists with experience in pelvic imaging on a single axial CT slice encompassing the widest diameter of the cervical tumor while excluding areas of necrosis. The following apparent diffusion coefficient (ADC) values (×10(-3) mm(2)/s) were extracted for each ROI: Minimum - ADCmin, Maximum - ADCmax, Mean - ADCmean, and Standard Deviation of the ADC - ADCdev. Receiver operating characteristic (ROC) curves were built to choose the most accurate cut off value for each ADC value. Correlation between imaging metrics and baseline clinical features were evaluated using the Mann Whitney test. Confirmatory multi-variate Cox modeling was used to test associations with LRC (adjusted by gross tumor volume - GTV), DFS and DSS (both adjusted by FIGO stage). Kaplan Meyer curves were built for DFS and DSS. A p-value < 0.05 was considered significant. Women median age was 52 years (range 23-90). 67 % had FIGO stage I-II disease while 33 % had FIGO stage III-IV disease. Eighty-two percent had squamous cell cancer. Eighty-eight percent received concurrent cisplatin chemotherapy with radiation. Median EQD2 of external beam and brachytherapy was 82.2 Gy (range 74-84). Women with disease staged III-IV (FIGO) had significantly higher mean ADCmax values compared with those with stage I-II (1.806 (0.4) vs 1.485 (0.4), p = 0.01). Patients with imaging defined positive nodes also had significantly higher mean (±SD) ADCmax values compared with lymph node negative patients (1.995 (0.3) vs 1.551 (0.5), p = 0.03). With a median follow-up of 32 months (range 5-43) 11 patients (17 %) have developed recurrent disease and 8 (12 %) have died because of cervical cancer. ROC curves based on DSS showed optimal cutoffs for ADCmin (0.488 × 10(-3)), ADCmean (0.827 × 10(-3)), ADCmax (1.838 × 10(-3)) and ADCdev (0.148 × 10(-3)). ADCmin higher than the cutoff was significantly associated with worse DFS (HR = 3.632-95 % CI: 1.094-12.054; p = 0.035) and DSS (HR = 4.401-95 % CI: 1.048-18.483; p = 0.043). Pre-treatment ADCmax measured in the primary tumor may be associated with FIGO stage and lymph node status. Pre-treatment ADCmin may be a prognostic factor associated with disease-free survival and disease-specific survival in cervical cancer patients treated with definitive chemoradiation. Prospective validation of these findings is currently ongoing.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Ph. D. Student 5 12%
Student > Bachelor 5 12%
Student > Doctoral Student 4 9%
Student > Postgraduate 4 9%
Other 13 30%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 16 37%
Nursing and Health Professions 4 9%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Unspecified 1 2%
Other 4 9%
Unknown 15 35%