Feng Wang1, Yuxiang Wang2, Yan Zhou1, Congrong Liu2, Dong Liang3, Lizhi Xie4, Zhihang Yao1, Jianyu Liu5. 1. Department of Radiology, Peking University Third Hospital, 49 North Garden Street, Haidian District, Beijing, 100191, China. 2. Department of Pathology, School of Basic Medical Science, Peking University Third Hospital, Peking University Health Science Center, 38 Xueyuan Road, Haidian District, Beijing, 100191, China. 3. Siemens Ltd., China, 7 Wangjing Zhonghuan Nanlu, Chaoyang District, Beijing, 100102, China. 4. GE Healthcare China, 1 Yongchang North Road, Beijing, 100176, China. 5. Department of Radiology, Peking University Third Hospital, 49 North Garden Street, Haidian District, Beijing, 100191, China. jyliubysy@163.com.
Abstract
PURPOSE: To investigate the potential of apparent diffusion coefficient (ADC) histogram parameters in epithelial ovarian cancer (EOC) for distinguishing different tumor stages and determining lymph node status and correlations between ADC values and p53 and Ki-67 expression. PROCEDURES: Forty-nine EOC patients underwent preoperative magnetic resonance imaging. Staging and lymph node status were determined postoperatively. ADC values were measured using histogram analysis and compared between groups. Relationships between ADCs and Ki-67 and p53 expression were explored. RESULTS: DC parameters differed significantly between stage I vs II, I vs III, and I vs IV. The parameters were significantly lower in the lymph node-positive group than in the lymph node-negative group, were significantly negatively correlated with Ki-67 labeling index, and were all significantly lower in the mutation-type p53 group than in the wild-type p53 group. CONCLUSIONS: ADC histogram analysis can help discriminate stage I from advanced-stage EOC and predict lymph node metastasis. ADC parameters were correlated with Ki-67 labeling index; the parameters may help indicate p53 expression.
PURPOSE: To investigate the potential of apparent diffusion coefficient (ADC) histogram parameters in epithelial ovarian cancer (EOC) for distinguishing different tumor stages and determining lymph node status and correlations between ADC values and p53 and Ki-67 expression. PROCEDURES: Forty-nine EOC patients underwent preoperative magnetic resonance imaging. Staging and lymph node status were determined postoperatively. ADC values were measured using histogram analysis and compared between groups. Relationships between ADCs and Ki-67 and p53 expression were explored. RESULTS: DC parameters differed significantly between stage I vs II, I vs III, and I vs IV. The parameters were significantly lower in the lymph node-positive group than in the lymph node-negative group, were significantly negatively correlated with Ki-67 labeling index, and were all significantly lower in the mutation-type p53 group than in the wild-type p53 group. CONCLUSIONS: ADC histogram analysis can help discriminate stage I from advanced-stage EOC and predict lymph node metastasis. ADC parameters were correlated with Ki-67 labeling index; the parameters may help indicate p53 expression.
Entities:
Keywords:
Lymph nodes; Magnetic resonance imaging; Neoplasm metastasis; Neoplasm staging; Ovarian cancer
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