Literature DB >> 27859961

Minimum apparent diffusion coefficient for predicting lymphovascular invasion in invasive cervical cancer.

Wei Yang1,2, Jin Wei Qiang1, Hai Ping Tian3, Bing Chen2, Ai Jun Wang2, Jian Guo Zhao2.   

Abstract

PURPOSE: To investigate the diagnostic performance of minimum apparent diffusion coefficient (mini-ADC) for predicting lymphovascular invasion (LVI) in invasive cervical cancer.
MATERIALS AND METHODS: Ninety-six patients with pathologically confirmed invasive cervical cancer (CC) underwent conventional preoperative magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) on a 3.0T MRI system. Tumor ADC, mini-ADC and mini-ADC ratio (mini-ADC value / tumor ADC value) were obtained and compared between LVI-positive and LVI-negative invasive CC, and correlation between LVI status and Ki-67, p16, p63, and clinical prognostic factors were analyzed. ADC thresholds and diagnostic performance were determined by receiver operating characteristic (ROC) analysis.
RESULTS: Tumor ADC showed no significant difference (P = 0.300) between LVI-positive invasive CC (n = 27) and LVI-negative invasive CC (n = 69); the mini-ADC and mini-ADC ratio were significantly lower in LVI-positive invasive CC than in LVI-negative invasive CC ([0.712 ± 0.078 × 10-3 mm2 /s] vs. [0.867 ± 0.099 × 10-3 mm2 /s], P < 0.001; and [0.772 ± 0.062] vs. [0.917 ± 0.052], P < 0.001, respectively). ROC curve analysis yielded a cutoff mini-ADC value of 0.837 in the differentiation of LVI-positive and LVI-negative invasive CC, with a sensitivity of 65%, specificity of 100%, and area under the curve (AUC) of 0.885; a cutoff mini-ADC ratio of 0.875 with a sensitivity of 78%, specificity of 100%, AUC of 0.970, positive predictive value of 100%, and negative predictive value of 64%. There was a positive correlation between LVI status and Ki-67 (r = 0.241, P = 0.014) and a negative correlation between mini-ADC and LVI status (r = -0.582, P < 0.001); mini-ADC and Ki-67 (r = -0.587, P < 0.001).
CONCLUSION: Mini-ADC value appears to be a simple and effective tool for the prediction of LVI status in invasive CC, and the mini-ADC ratio may be the best parameter in discriminating between LVI-positive and LVI-negative invasive CC. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 4 J. MAGN. RESON. IMAGING 2017;45:1771-1779.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  Ki-67; apparent diffusion coefficient; diffusion-weighted imaging; invasive cervical cancer; lymphatic vessels; magnetic resonance imaging

Mesh:

Substances:

Year:  2016        PMID: 27859961     DOI: 10.1002/jmri.25542

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  8 in total

1.  Value of integrated PET-IVIM MRI in predicting lymphovascular space invasion in cervical cancer without lymphatic metastasis.

Authors:  Chen Xu; Yang Yu; Xiaoran Li; Hongzan Sun
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-01-27       Impact factor: 9.236

2.  Intravoxel Incoherent Motion (IVIM) MR Quantification in Locally Advanced Cervical Cancer (LACC): Preliminary Study on Assessment of Tumor Aggressiveness and Response to Neoadjuvant Chemotherapy.

Authors:  Miriam Dolciami; Silvia Capuani; Veronica Celli; Alessandra Maiuro; Angelina Pernazza; Innocenza Palaia; Violante Di Donato; Giusi Santangelo; Stefania Maria Rita Rizzo; Paolo Ricci; Carlo Della Rocca; Carlo Catalano; Lucia Manganaro
Journal:  J Pers Med       Date:  2022-04-15

3.  Associations between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a meta-analysis. Part 2: ADCmin.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Oncotarget       Date:  2018-01-04

4.  Radiomic features of cervical cancer on T2-and diffusion-weighted MRI: Prognostic value in low-volume tumors suitable for trachelectomy.

Authors:  Benjamin W Wormald; Simon J Doran; Thomas Ej Ind; James D'Arcy; James Petts; Nandita M deSouza
Journal:  Gynecol Oncol       Date:  2019-11-02       Impact factor: 5.482

5.  Predictive Ki-67 Proliferation Index of Cervical Squamous Cell Carcinoma Based on IVIM-DWI Combined with Texture Features.

Authors:  Cuiping Li; Mingxue Zheng; Xiaomin Zheng; Xin Fang; Jiangning Dong; Chuanbin Wang; Tingting Wang
Journal:  Contrast Media Mol Imaging       Date:  2021-01-14       Impact factor: 3.161

6.  Dynamic contrast enhanced-MRI and diffusion-weighted image as predictors of lymphovascular invasion in node-negative invasive breast cancer.

Authors:  Bo Bae Choi
Journal:  World J Surg Oncol       Date:  2021-03-15       Impact factor: 2.754

7.  Prediction of lymphovascular space invasion using a combination of tenascin-C, cox-2, and PET/CT radiomics in patients with early-stage cervical squamous cell carcinoma.

Authors:  Xiaoran Li; Chen Xu; Yang Yu; Yan Guo; Hongzan Sun
Journal:  BMC Cancer       Date:  2021-07-28       Impact factor: 4.430

8.  Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics -Based Nomogram.

Authors:  Wei Du; Yu Wang; Dongdong Li; Xueming Xia; Qiaoyue Tan; Xiaoming Xiong; Zhiping Li
Journal:  Front Oncol       Date:  2021-07-12       Impact factor: 6.244

  8 in total

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