Whole-Lesion Apparent Diffusion Coefficient-Based Entropy-Related Parameters for Characterizing Cervical Cancers: Initial Findings

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• 作者：Yue Guan ; BS^a ; Weifeng Li ; BS^a ; Zhuoran Jiang ; BS^a ; Ying Chen ; MS ; PhD^a ; Song Liu ; MD^b ; Jian He ; MD ; PhD^b ; ^{hjxueren@163.com" class="auth_mail" title="E-mail the corresponding author} ; Zhengyang Zhou ; MD ; PhD^b ; ^{zyzhou@nju.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Yun Ge ; MS ; PhD^a ; ^{geyunnju@126.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Diffusion-weighted magnetic resonance imaging ; apparent diffusion coefficient ; uterine cervical neoplasms ; entropy ; texture analysis
• 刊名：Academic Radiology
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：23
• 期：12
• 页码：1559-1567
• 全文大小：901 K

文摘

This study aimed to develop whole-lesion apparent diffusion coefficient (ADC)-based entropy-related parameters of cervical cancer to preliminarily assess intratumoral heterogeneity of this lesion in comparison to adjacent normal cervical tissues.

Materials and Methods

A total of 51 women (mean age, 49 years) with cervical cancers confirmed by biopsy underwent 3-T pelvic diffusion-weighted magnetic resonance imaging with b values of 0 and 800 s/mm² prospectively. ADC-based entropy-related parameters including first-order entropy and second-order entropies were derived from the whole tumor volume as well as adjacent normal cervical tissues. Intraclass correlation coefficient, Wilcoxon test with Bonferroni correction, Kruskal-Wallis test, and receiver operating characteristic curve were used for statistical analysis.

Results

All the parameters showed excellent interobserver agreement (all intraclass correlation coefficients  > 0.900). Entropy, entropy(H)₀, entropy(H)₄₅, entropy(H)₉₀, entropy(H)₁₃₅, and entropy(H)_mean were significantly higher, whereas entropy(H)_range and entropy(H)_std were significantly lower in cervical cancers compared to adjacent normal cervical tissues (all P <.0001). Kruskal-Wallis test showed that there were no significant differences among the values of various second-order entropies including entropy(H)_0, entropy(H)₄₅, entropy(H)₉₀, entropy(H)₁₃₅, and entropy(H)_mean. All second-order entropies had larger area under the receiver operating characteristic curve than first-order entropy in differentiating cervical cancers from adjacent normal cervical tissues. Further, entropy(H)₄₅, entropy(H)₉₀, entropy(H)₁₃₅, and entropy(H)_mean had the same largest area under the receiver operating characteristic curve of 0.867.

Conclusion

Whole-lesion ADC-based entropy-related parameters of cervical cancers were developed successfully, which showed initial potential in characterizing intratumoral heterogeneity in comparison to adjacent normal cervical tissues.