Literature DB >> 26505922

Association of Apparent Diffusion Coefficient with Disease Recurrence in Patients with Locally Advanced Cervical Cancer Treated with Radical Chemotherapy and Radiation Therapy.

Adam Gladwish1, Michael Milosevic1, Anthony Fyles1, Jason Xie1, Jaydeep Halankar1, Ur Metser1, Haiyan Jiang1, Nathan Becker1, Wilfred Levin1, Lee Manchul1, Warren Foltz1, Kathy Han1.   

Abstract

PURPOSE: To investigate whether volumetrically derived apparent diffusion coefficient (ADC) from pretreatment diffusion-weighted (DW) magnetic resonance (MR) imaging is associated with disease recurrence in women with locally advanced cervical cancer treated with chemotherapy and radiation therapy.
MATERIALS AND METHODS: An ethics board-approved, retrospective study was conducted in 85 women with stage IB-IVA cervical cancer treated with chemo- and radiation therapy in 2009-2013. All patients underwent MR imaging for staging, including T2-weighted and DW MR imaging series, by using a 1.5- or 3.0-T imager. The mean, median, 75th, 90th, and 95th percentile ADCs (ADCmean, ADC50, ADC75, ADC90, and ADC95, respectively) of all voxels that comprised each tumor were extracted and normalized to the mean urine ADC (nADCmean, nADC50, nADC75, nADC90, and nADC95, respectively) to reduce variability. The primary outcome was disease-free survival (DFS). Uni- and multivariable Cox regression analyses were used to evaluate the association of ADC parameters and relevant clinical variables with DFS.
RESULTS: Of the 85 women included, 62 were free of disease at last follow-up. Median follow-up was 37 months (range, 5-68 months). Significant variables at univariable analysis included T2-weighted derived tumor diameter, para-aortic nodal involvement, advanced stage, ADC90 and ADC95, nADC75, nADC90, and nADC95. Normalized parameters were more highly associated (hazard ratio per 0.01 increase in normalized ADC, 0.91-0.94; P < .04). Because nADC75, nADC90, and nADC95 were highly correlated, only nADC95 (which had the lowest P value) was included in multivariable analysis. At multivariable analysis, absolute and normalized ADC95 remained associated with DFS (hazard ratio, 0.90-0.98; P < .05).
CONCLUSION: The volumetric ADC95 may be a useful imaging metric to predict treatment failure in patients with locally advanced cervical cancer treated with chemo- and radiation therapy.

Entities:  

Mesh:

Year:  2015        PMID: 26505922     DOI: 10.1148/radiol.2015150400

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  21 in total

1.  Multi-parametric MRI in cervical cancer: early prediction of response to concurrent chemoradiotherapy in combination with clinical prognostic factors.

Authors:  Wei Yang; Jin Wei Qiang; Hai Ping Tian; Bing Chen; Ai Jun Wang; Jian Guo Zhao
Journal:  Eur Radiol       Date:  2017-08-04       Impact factor: 5.315

2.  Staging, recurrence and follow-up of uterine cervical cancer using MRI: Updated Guidelines of the European Society of Urogenital Radiology after revised FIGO staging 2018.

Authors:  Lucia Manganaro; Yulia Lakhman; Nishat Bharwani; Benedetta Gui; Silvia Gigli; Valeria Vinci; Stefania Rizzo; Aki Kido; Teresa Margarida Cunha; Evis Sala; Andrea Rockall; Rosemarie Forstner; Stephanie Nougaret
Journal:  Eur Radiol       Date:  2021-04-14       Impact factor: 5.315

3.  Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI.

Authors:  Yuhao Dong; Qianjin Feng; Wei Yang; Zixiao Lu; Chunyan Deng; Lu Zhang; Zhouyang Lian; Jing Liu; Xiaoning Luo; Shufang Pei; Xiaokai Mo; Wenhui Huang; Changhong Liang; Bin Zhang; Shuixing Zhang
Journal:  Eur Radiol       Date:  2017-08-21       Impact factor: 5.315

4.  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

5.  Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy.

Authors:  Gigin Lin; Lan-Yan Yang; Yu-Chun Lin; Yu-Ting Huang; Feng-Yuan Liu; Chun-Chieh Wang; Hsin-Ying Lu; Hsin-Ju Chiang; Yu-Ruei Chen; Ren-Chin Wu; Koon-Kwan Ng; Ji-Hong Hong; Tzu-Chen Yen; Chyong-Huey Lai
Journal:  Eur Radiol       Date:  2018-07-26       Impact factor: 5.315

6.  Prognostic value of baseline volumetric multiparametric MR imaging in neuroendocrine liver metastases treated with transarterial chemoembolization.

Authors:  Yan Luo; Ankur Pandey; Mounes Aliyari Ghasabeh; Pallavi Pandey; Farnaz Najmi Varzaneh; Manijeh Zarghampour; Pegah Khoshpouri; Sanaz Ameli; Zhen Li; Daoyu Hu; Ihab R Kamel
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

7.  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

8.  MRI-based radiomics for pretreatment prediction of response to concurrent chemoradiotherapy in locally advanced cervical squamous cell cancer.

Authors:  Xiaomiao Zhang; Qi Zhang; Xiaoduo Yu; Xinming Zhao; Yan Chen; Sicong Wang; Jieying Zhang; Jusheng An; Lizhi Xie
Journal:  Abdom Radiol (NY)       Date:  2022-10-12

9.  Role of Functional Magnetic Resonance Imaging Derived Parameters as Imaging Biomarkers and Correlation with Clinicopathological Features in Carcinoma of Uterine Cervix.

Authors:  Ramireddy Jeba Karunya; Putta Tharani; Subhashini John; Ramani Manoj Kumar; Saikat Das
Journal:  J Clin Diagn Res       Date:  2017-08-01

Review 10.  Implications of the new FIGO staging and the role of imaging in cervical cancer.

Authors:  Aki Kido; Yuji Nakamoto
Journal:  Br J Radiol       Date:  2021-05-14       Impact factor: 3.629

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.