Literature DB >> 25660642

Value of apparent diffusion coefficient (ADC) in assessing radiotherapy and chemotherapy success in cervical cancer.

Zhan-Zhao Fu1, Yong Peng2, Li-Yan Cao3, Yan-Sheng Chen4, Kun Li5, Bao-Hong Fu3.   

Abstract

OBJECTIVE: We investigated the clinical significance of apparent diffusion coefficient (ADC) values in diffusion-weighted magnetic resonance imaging (DWI) in monitoring the efficacy of radiotherapy (RT) and chemotherapy (CT) treatments in cervical cancer.
METHOD: In order to identify relevant high quality clinical cohort studies reporting the use of DWI in cervical cancers, the following electronic databases in English and Chinese languages were comprehensively searched: MEDLINE, Science Citation Index database, Cochrane Library Database, PubMed, Embase, CINAHL, and Current Contents Index; Chinese Biomedical Database, Chinese Journal Full-Text Database. All selected studies were published prior to March 2014, and data extracted from these studies were analyzed using STATA 12.0 statistical software.
RESULTS: We initially retrieved 196 articles (79 Chinese articles and 117 English articles) through database searches and finally selected sixteen cohort studies for this meta-analysis. The 16 studies contained a combined total of 517 subjects, and all selected studies reported the mean ADC value (10(-3) mm(2)/s) in DWI in cervical cancer patients treated with RT and CT. Combined standardized mean difference (SMD) suggested that the mean post-RT and mean post-CT ADC values were significantly higher than the mean pre-RT and mean pre-CT ADC values, respectively, in cervical cancer patients (SMD=2.95, 95% CI=2.19-3.72, P<0.001). Ethnicity-stratified analysis revealed that increased ADC values were observed post-RT and post-CT in both Caucasian (SMD=1.44, 95% CI=0.93-1.95, P<0.001) and Asian populations (SMD=3.32, 95% CI=2.42-4.22, P<0.001), compared with the mean ADC values before RT and CT, respectively, in the two subgroups. Further, subgroup analysis based on b-value revealed that higher ADC values were found in cervical cancer patients after RT and CT, compared to before RT and CT treatment, with both b value≤900 (SMD=3.71, 95% CI=2.35-5.07, P<0.001) and >900 (SMD=2.55, 95% CI=1.78-3.32, P<0.001). The mean ADC value in patients without residual tumor post-RT and post-CT treatment was significantly higher than seen in patients with residual tumors (SMD=0.80, 95% CI=0.49-1.12, P<0.001).
CONCLUSION: Our meta-analysis revealed a significant correlation between mean ADC values and the clinical response to RT and CT treatment. Thus, ADC values in DWI may be effective in evaluating the clinical outcome of treatments in cervical cancer patients.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; Cervical cancer; Chemotherapy; Diffusion-weighted MR imaging; Meta-analysis; Radiotherapy

Mesh:

Year:  2015        PMID: 25660642     DOI: 10.1016/j.mri.2015.02.002

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  17 in total

1.  The PRICE study: The role of conventional and diffusion-weighted magnetic resonance imaging in assessment of locally advanced cervical cancer patients administered by chemoradiation followed by radical surgery.

Authors:  A L Valentini; M Miccò; B Gui; M Giuliani; E Rodolfino; A M Telesca; T Pasciuto; A Testa; M A Gambacorta; G Zannoni; V Rufini; A Giordano; V Valentini; G Scambia; R Manfredi
Journal:  Eur Radiol       Date:  2018-01-09       Impact factor: 5.315

2.  Comparison between readout-segmented and single-shot echo-planar imaging in the evaluation of cervical cancer staging.

Authors:  Weiliang Qian; Qian Chen; Zhongshuai Zhang; Hong Wang; Jibin Zhang; Jianming Xu
Journal:  Br J Radiol       Date:  2018-11-01       Impact factor: 3.039

3.  Diffusion-weighted MRI predicts the histologic response for neoadjuvant therapy in patients with pancreatic cancer: a prospective study (DIFFERENT trial).

Authors:  Ken-Ichi Okada; Manabu Kawai; Seiko Hirono; Fumiyoshi Kojima; Kensuke Tanioka; Masaki Terada; Motoki Miyazawa; Yuji Kitahata; Yoshifumi Iwahashi; Masaki Ueno; Shinya Hayami; Shin-Ichi Murata; Toshio Shimokawa; Hiroki Yamaue
Journal:  Langenbecks Arch Surg       Date:  2020-01-28       Impact factor: 3.445

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.  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

6.  Imaging Biomarkers and Liquid Biopsy in Assessment of Cervical Cancer.

Authors:  Mansur A Ghani; Joy Liau; Ramez Eskander; Loren Mell; Tahir Yusufaly; Sebastian Obrzut
Journal:  J Comput Assist Tomogr       Date:  2022-08-16       Impact factor: 2.081

Review 7.  Challenges in ensuring the generalizability of image quantitation methods for MRI.

Authors:  Kathryn E Keenan; Jana G Delfino; Kalina V Jordanova; Megan E Poorman; Prathyush Chirra; Akshay S Chaudhari; Bettina Baessler; Jessica Winfield; Satish E Viswanath; Nandita M deSouza
Journal:  Med Phys       Date:  2021-09-29       Impact factor: 4.506

8.  The predictive role of ADC values in prostate cancer patients treated with carbon-ion radiotherapy: initial clinical experience at Shanghai Proton and Heavy Ion Center (SPHIC).

Authors:  Wei-Xiang Qi; Qing Zhang; Ping Li; Xiao-Meng Zhang; Guang-Yuan Zhang; Bin Wu; Jiade J Lu; Guo-Liang Jiang; Shen Fu
Journal:  J Cancer Res Clin Oncol       Date:  2016-03-23       Impact factor: 4.553

9.  Diffusion-weighted MRI-derived ADC values reflect collagen I content in PDX models of uterine cervical cancer.

Authors:  Anette Hauge; Catherine S Wegner; Jon-Vidar Gaustad; Trude G Simonsen; Lise Mari K Andersen; Einar K Rofstad
Journal:  Oncotarget       Date:  2017-11-11

10.  DCE-MRI-Derived Volume Transfer Constant (Ktrans) and DWI Apparent Diffusion Coefficient as Predictive Markers of Short- and Long-Term Efficacy of Chemoradiotherapy in Patients With Esophageal Cancer.

Authors:  Zhi-Min Ye; Shu-Jun Dai; Feng-Qin Yan; Lei Wang; Jun Fang; Zhen-Fu Fu; Yue-Zhen Wang
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
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