Literature DB >> 22683941

The value of diffusion-weighted magnetic resonance imaging in assessing the response of locally advanced cervical cancer to neoadjuvant chemotherapy.

Chun Fu1, Dujun Bian, Fengying Liu, Xiaoyan Feng, Wanping Du, Xiangquan Wang.   

Abstract

OBJECTIVE: The objective of this study was to investigate whether magnetic resonance diffusion-weighted imaging (DWI) of locally advanced cervical cancer (LACC) both in the sagittal and axial planes could be used to assess the response of LACC to neoadjuvant chemotherapy (NACT).
METHODS: Thirty women with LACC received conventional magnetic resonance imaging and DWI at 3 different times (before NACT, 2 weeks after the first NACT, and 2 weeks after the second NACT). Treatment response was determined according to the change in tumor size 2 weeks after the second NACT, and they were classified as the effective group and the ineffective group. The apparent diffusion coefficients (ADCs) were compared between 2 imaging planes, and dynamic changes in ADCs were observed in different chemotherapy-sensitive groups and imaging planes. One-way analysis of variance was calculated between those ADC parameters and tumor response.
RESULTS: The effective chemotherapy rate was 76.67%. Apparent diffusion coefficient values of the axial plane at 3 different times were 0.88 (SD, 0.08) × 10⁻³ mm²/s, 0.96 (SD, 0.10) × 10⁻³ mm²/s, and 1.19 (SD, 0.11) × 10⁻³ mm²/s, respectively. Meanwhile, ADC values of the sagittal planes were 0.89 (SD, 0.09) × 10⁻³ mm²/s, 0.97 (SD, 0.12) × 10⁻³ mm²/s, and 1.19 (SD, 0.12) × 10⁻³ mm²/s at 3 different stages. There were no statistical differences between the ADC values of the 2 planes at 3 different times (P = 0.927, P = 0.863, P = 0.946). Apparent diffusion coefficients 2 weeks after the first NACT were significantly increased compared with those before chemotherapy both in the axial and sagittal planes (P = 0.003, P = 0.012). In the ineffective group, ADCs 2 weeks after the first NACT were not statistically higher than those before chemotherapy (axial planes, P = 0.694; sagittal planes, P = 0.900). After 2 weeks of the first NACT, ADCs in both planes were obviously increased in the effective group than those in the ineffective group (P = 0.043, P = 0.022).
CONCLUSIONS: The axial and sagittal DWI may detect the changes in LACC after therapy. Apparent diffusion coefficient values measured both in the 2 planes may be used to evaluate the response of LACC to NACT.

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Year:  2012        PMID: 22683941     DOI: 10.1097/IGC.0b013e31825736d7

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  10 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.  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.  Integrating Imaging Data into Predictive Biomathematical and Biophysical Models of Cancer.

Authors:  Thomas E Yankeelov
Journal:  ISRN Biomath       Date:  2012

4.  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

5.  Assessing the Early Response of Advanced Cervical Cancer to Neoadjuvant Chemotherapy Using Intravoxel Incoherent Motion Diffusion-weighted Magnetic Resonance Imaging: A Pilot Study.

Authors:  Yan-Chun Wang; Dao-Yu Hu; Xue-Mei Hu; Ya-Qi Shen; Xiao-Yan Meng; Hao Tang; Zhen Li
Journal:  Chin Med J (Engl)       Date:  2016-03-20       Impact factor: 2.628

Review 6.  The value of advanced MRI techniques in the assessment of cervical cancer: a review.

Authors:  Evelyn Dappa; Tania Elger; Annette Hasenburg; Christoph Düber; Marco J Battista; Andreas M Hötker
Journal:  Insights Imaging       Date:  2017-08-21

7.  Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study.

Authors:  Caixia Sun; Xin Tian; Zhenyu Liu; Weili Li; Pengfei Li; Jiaming Chen; Weifeng Zhang; Ziyu Fang; Peiyan Du; Hui Duan; Ping Liu; Lihui Wang; Chunlin Chen; Jie Tian
Journal:  EBioMedicine       Date:  2019-08-06       Impact factor: 8.143

Review 8.  Diffusion-weighted MRI to detect early response to chemoradiation in cervical cancer: A systematic review and meta-analysis.

Authors:  Vanessa N Harry; Sunil Persad; Bharat Bassaw; David Parkin
Journal:  Gynecol Oncol Rep       Date:  2021-10-18

9.  Time-window of early detection of response to concurrent chemoradiation in cervical cancer by using diffusion-weighted MR imaging: a pilot study.

Authors:  Ying Liu; Haoran Sun; Renju Bai; Zhaoxiang Ye
Journal:  Radiat Oncol       Date:  2015-09-04       Impact factor: 3.481

10.  Influencing surgical management in patients with carcinoma of the cervix using a T2- and ZOOM-diffusion-weighted endovaginal MRI technique.

Authors:  K Downey; M Jafar; A D Attygalle; S Hazell; V A Morgan; S L Giles; M A Schmidt; T E J Ind; J H Shepherd; N M deSouza
Journal:  Br J Cancer       Date:  2013-07-18       Impact factor: 7.640

  10 in total

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