Literature DB >> 29137496

Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer.

Kristine E Fasmer1,2, Atle Bjørnerud3, Sigmund Ytre-Hauge1,2, Renate Grüner1,4, Ingvild L Tangen5,6, Henrica Mj Werner5,6, Line Bjørge5,6, Øyvind O Salvesen7, Jone Trovik5,6, Camilla Krakstad5,8, Ingfrid S Haldorsen1,2.   

Abstract

Background Quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) may yield preoperative tumor biomarkers relevant for prognosis and therapy in cancer. Purpose To explore the value of preoperative DCE-MRI and DWI for the prediction of aggressive disease in endometrial cancer patients. Material and Methods Preoperative MRI (1.5-T) from 177 patients were analyzed and imaging parameters reflecting tumor microvasculature (from DCE-MRI) and tumor microstructure (from DWI) were estimated. The derived imaging parameters were explored in relation to clinico-pathological stage, histological subtype and grade, molecular markers, and patient outcome. Results Low tumor blood flow (Fb) and low rate constant for contrast agent intravasation (kep) were associated with high-risk histological subtype ( P ≤ 0.04 for both) and tended to be associated with poor prognosis ( P ≤ 0.09). Low tumor apparent diffusion coefficient (ADC) value and large tumor volume were both significantly associated with deep myometrial invasion ( P < 0.001 for both) and were also unfavorable prognostic factors ( P = 0.05 and P < 0.001, respectively). Conclusion DCE-MRI and DWI represent valuable supplements to conventional MRI by providing preoperative imaging biomarkers that predict aggressive disease in endometrial cancer patients.

Entities:  

Keywords:  MR diffusion/perfusion; Magnetic resonance imaging (MRI); endometrial carcinoma; functional MRI; prognostic biomarker

Mesh:

Substances:

Year:  2017        PMID: 29137496     DOI: 10.1177/0284185117740932

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  11 in total

1.  ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma.

Authors:  Nicole Concin; Carien L Creutzberg; Ignace Vergote; David Cibula; Mansoor Raza Mirza; Simone Marnitz; Jonathan A Ledermann; Tjalling Bosse; Cyrus Chargari; Anna Fagotti; Christina Fotopoulou; Antonio González-Martín; Sigurd F Lax; Domenica Lorusso; Christian Marth; Philippe Morice; Remi A Nout; Dearbhaile E O'Donnell; Denis Querleu; Maria Rosaria Raspollini; Jalid Sehouli; Alina E Sturdza; Alexandra Taylor; Anneke M Westermann; Pauline Wimberger; Nicoletta Colombo; François Planchamp; Xavier Matias-Guiu
Journal:  Virchows Arch       Date:  2021-02       Impact factor: 4.064

2.  Magnetic resonance spectroscopy associations with clinicopathologic features of estrogen-dependent endometrial cancer.

Authors:  Jie Zhang; Qingwei Liu; Jie Li; Zhiling Liu; Ximing Wang; Na Li; Zhaoqin Huang; Han Xu
Journal:  BMC Med Imaging       Date:  2022-07-18       Impact factor: 2.795

Review 3.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Authors:  Rima Hajjo; Dima A Sabbah; Sanaa K Bardaweel; Alexander Tropsha
Journal:  Diagnostics (Basel)       Date:  2021-04-21

Review 4.  Imaging of Preclinical Endometrial Cancer Models for Monitoring Tumor Progression and Response to Targeted Therapy.

Authors:  Heidi Espedal; Tina Fonnes; Kristine E Fasmer; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Cancers (Basel)       Date:  2019-11-27       Impact factor: 6.639

5.  MRI-Based Radiomic Model for Preoperative Risk stratification in Stage I Endometrial Cancer.

Authors:  Jingya Chen; Hailei Gu; Weimin Fan; Yaohui Wang; Shuai Chen; Xiao Chen; Zhongqiu Wang
Journal:  J Cancer       Date:  2021-01-01       Impact factor: 4.207

6.  Automated segmentation of endometrial cancer on MR images using deep learning.

Authors:  Erlend Hodneland; Julie A Dybvik; Kari S Wagner-Larsen; Veronika Šoltészová; Antonella Z Munthe-Kaas; Kristine E Fasmer; Camilla Krakstad; Arvid Lundervold; Alexander S Lundervold; Øyvind Salvesen; Bradley J Erickson; Ingfrid Haldorsen
Journal:  Sci Rep       Date:  2021-01-08       Impact factor: 4.379

7.  MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer.

Authors:  Julie Andrea Dybvik; Kristine E Fasmer; Sigmund Ytre-Hauge; Jenny Hild Aase Husby; Øyvind O Salvesen; Ingunn Marie Stefansson; Camilla Krakstad; Jone Trovik; Ingfrid S Haldorsen
Journal:  Insights Imaging       Date:  2022-01-08

8.  MRI-Based Radiomics Nomogram for Selecting Ovarian Preservation Treatment in Patients With Early-Stage Endometrial Cancer.

Authors:  Bi Cong Yan; Xiao Liang Ma; Ying Li; Shao Feng Duan; Guo Fu Zhang; Jin Wei Qiang
Journal:  Front Oncol       Date:  2021-09-09       Impact factor: 6.244

9.  Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment.

Authors:  Zhijun Ye; Gang Ning; Xuesheng Li; Tong San Koh; Huizhu Chen; Wanjing Bai; Haibo Qu
Journal:  Cancer Imaging       Date:  2022-03-09       Impact factor: 3.909

10.  Can quantitative analysis of multi-parametric MRI independently predict failure of focal salvage HIFU therapy in men with radio-recurrent prostate cancer?

Authors:  Arnas Rakauskas; Taimur T Shah; Max Peters; Jagpal S Randeva; Feargus Hosking-Jervis; Michael J Schmainda; Clement Orczyck; Mark Emberton; Manit Arya; Caroline Moore; Hashim U Ahmed
Journal:  Urol Oncol       Date:  2021-05-26       Impact factor: 3.498

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