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Objective: The purpose of this study is to investigate the correlation of the max, mean and minimal apparent diffusion coefficient values (ADCmax, ADCmean, and ADCmin) on diffusion weighted imaging findings with prognostic factors in cervical cancer., Methods: A cohort of 80 cervical cancer patients underwent pelvic magnetic resonance imaging (MRI) within the 2 to 4 weeks prior to radical hysterectomy. The optimal cutoff value for segregating disease free survival (DFS) was determined by receiver operating characteristic (ROC) curve analysis. We used ROC curve analyses to evaluate whether preoperative ADCmax, ADCmean, ADCmin on MRI predicted the risk group of recurrence., Results: Analyses of ROC curves identified an optimal The ROC curves identified an optimal ADCmax, ADCmean, and ADCmin cutoff values of 1.122 × 10(-3)mm(2)/s, 0.852 × 10(-3)mm(2)/s, 0.670 × 10(-3)mm(2)/s and for predicting the recurrence of cervical cancer. The patients categorized into the lower ADCmean or ADCmin groups showed the shorter disease free survivals compared with the higher ADCmean or ADCmin, respectively (P<0.0001 or P=0.0210). In particular, the ADCmean of primary cervical cancer was an independent predictive factor for disease recurrence by a multivariate analysis (P=0.0133)., Conclusions: The ADCmean of primary cervical cancer calculated by MRI could be an important factor for identifying patients with a risk of disease recurrence., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Objective: The purpose of this study was to evaluate whether preoperative measurements of the minimum apparent diffusion coefficient (ADCmin) on magnetic resonance imaging (MRI) and the tumor marker CA125 are correlated with the clinical characteristics and prognosis of patients with endometrial cancer., Methods: The distribution of cases that scored positive for each of the biological parameters examined and the correlations with the ADCmin of the primary tumor and the serum tumor marker CA125 were examined for 111 patients with preoperative assessment of primary endometrial cancer., Results: There were significant correlations between the ADCmin of the primary tumor and the FIGO stage (P=0.001), depth of myometrial invasion (P<0.001), cervical involvement (P=0.003), lymph node metastasis (P=0.027), ovarian metastasis (P<0.001), peritoneal cytology (P=0.027) and tumor maximum size (P<0.001). The disease-free survival (DFS) rate of patients with high serum CA125 was significantly lower than that of patients with low serum CA125 (P=0.0395). The DFS rate of patients with a low ADCmin of the primary tumor was significantly lower than that of patients with a high ADCmin of the primary tumor (P<0.001). In particular, the ADCmin of the primary tumor was an independent factor for disease recurrence in a multivariate analysis (P=0.019)., Conclusions: The present findings indicate that a low preoperative ADCmin of the primary tumor is an important predictive factor for identifying endometrial cancer patients with a risk of disease recurrence., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Objective: We attempted to prospectively determine the role of magnetic resonance imaging (MRI) in very early cervical cancer., Study Design: T2-weighted and T1-dynamic enhanced images from patients with invasive or noninvasive lesions of the cervix were reviewed by two radiologists who had no clinical information on these patients. At least 12 longitudinal sections prepared from the surgically removed cervix were reviewed by a pathologist. The correlation between MRI and histological findings was analyzed in terms of depth of invasion., Results: Seventy-nine cases were entered into the study and 75 were evaluable. Accuracy of T2 MR images for invasive and noninvasive disease by Radiologist 1 and Radiologist 2 was 0.8533 and 0.7733, respectively. Accuracy was greater (0.9867 and 0.9467, respectively) for the detection of noninvasive plus microinvasive lesions 5 mm. Dynamic technique provided only limited additional value in the detection of microinvasive cervical carcinoma., Conclusion: Simple T2 MRI is useful in differentiating noninvasive or microinvasive cervical lesions from invasive cervical carcinoma of the cervix >5 mm., (Copyright 2000 Academic Press.)