PURPOSE: To retrospectively explore the value of apparent diffusion coefficient (ADC) histogram in assessing local aggressiveness of cervical cancer. METHODS: 53 patients with cervical cancer, including 7 cases at stage IB1, 17 cases at stage IB2 and 29 cases at stage IIA, were subjected to preoperative MRI including diffusion-weighted imaging with b values of 0 and 800 s/mm(2). The average of mean ADC values (ADCmean), minimum ADC values (ADCmin) and the 5th to 85th percentile ADC values every 10 % (ADC5 %, ADC15 %, ADC85 %) were measured. ADC values were compared between subgroups according to pathologic subtype, histological differentiation, depth of cervical infiltration, and lymph node metastases. RESULTS: ADCmean and ADCmin for adenocarcinoma were 1,170.3 ± 97.8 × 10(-6) and 748.7 ± 157.5 × 10(-6) mm(2) s(-1), respectively, significantly higher than that of squamous cell carcinoma (SCC) (1,053.8 ± 134.3 × 10(-6) and 615.6 ± 170.2 × 10(-6) mm(2) s(-1), respectively). ADCmean and ADC5 %-ADC85 % of well or moderately tumor were significantly higher than poorly differentiated tumor, but ADCmin was not significantly different among different differentiated cervical cancer. Only ADC5 %-ADC45 % could discriminate well or moderately differentiated SCC from poorly differentiated SCC. ADC5 % for distinguishing well/moderately from poorly differentiated cervical cancer had a largest AUC (0.83). There was no statistical difference in ADC value for different depth of cervical infiltration or lymph node metastases. CONCLUSIONS: ADC values are helpful in assessing pathologic subtype and the differentiation of cervical cancer.
PURPOSE: To retrospectively explore the value of apparent diffusion coefficient (ADC) histogram in assessing local aggressiveness of cervical cancer. METHODS: 53 patients with cervical cancer, including 7 cases at stage IB1, 17 cases at stage IB2 and 29 cases at stage IIA, were subjected to preoperative MRI including diffusion-weighted imaging with b values of 0 and 800 s/mm(2). The average of mean ADC values (ADCmean), minimum ADC values (ADCmin) and the 5th to 85th percentile ADC values every 10 % (ADC5 %, ADC15 %, ADC85 %) were measured. ADC values were compared between subgroups according to pathologic subtype, histological differentiation, depth of cervical infiltration, and lymph node metastases. RESULTS: ADCmean and ADCmin for adenocarcinoma were 1,170.3 ± 97.8 × 10(-6) and 748.7 ± 157.5 × 10(-6) mm(2) s(-1), respectively, significantly higher than that of squamous cell carcinoma (SCC) (1,053.8 ± 134.3 × 10(-6) and 615.6 ± 170.2 × 10(-6) mm(2) s(-1), respectively). ADCmean and ADC5 %-ADC85 % of well or moderately tumor were significantly higher than poorly differentiated tumor, but ADCmin was not significantly different among different differentiated cervical cancer. Only ADC5 %-ADC45 % could discriminate well or moderately differentiated SCC from poorly differentiated SCC. ADC5 % for distinguishing well/moderately from poorly differentiated cervical cancer had a largest AUC (0.83). There was no statistical difference in ADC value for different depth of cervical infiltration or lymph node metastases. CONCLUSIONS: ADC values are helpful in assessing pathologic subtype and the differentiation of cervical cancer.
Authors: P Brandmaier; S Purz; K Bremicker; M Höckel; H Barthel; R Kluge; T Kahn; O Sabri; P Stumpp Journal: PLoS One Date: 2015-11-09 Impact factor: 3.240