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DOI 10.1097/rct.0b013e3182418885

Медицинская библиотека · Journal of computer assisted tomography · 2012

Apparent diffusion coefficients of normal uterus in premenopausal women with 3.0-T magnetic resonance imaging.

Kuang Fei, Ren Jing, Huan Yi, Chen Ziqian, Zhong Qun

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Аннотация

PURPOSE: To investigate the apparent diffusion coefficients (ADCs) of the normal uterine zonal structures (myometrium, endometrium, and junctional zone) during different phases of the menstrual cycle among premenopausal women with different age groups.

MATERIALS AND

METHODS

Magnetic resonance (MR) images of 67 healthy women were obtained during the midproliferative and midsecretory phases. They were further divided into 3 age groups: group A (age range, 20-29 years); group B (age range, 30-39 years), and group C (mean age, 44.62 years; age range, 40-49 years). All the women underwent 3.0-T MR scanning twice. The ADC values were compared among each uterine zonal structure and 3 age groups and were calculated between the midproliferative and midsecretory phase.

RESULTS

The ADC values among each uterine zonal structures were significantly different from one another (P < 0.001). The ADC values for endometrium in women in their 30s were higher than those in their 20s and in their 30s during the midproliferative and midsecretory phases (P < 0.05), and the ADC values for endometrium in each age groups were lower during the midproliferative phase than those during the midsecretory phase (P < 0.05), but there were no statistical differences in the myometrium and the junctional zone between the 2 phases or among age groups (P > 0.05).

CONCLUSION

These preliminary results suggested that the zone, age, and phase of the menstrual cycle in premenopausal women should be considered when interpreting the ADC values of uterine structures (especially for endometrium).

Для цитирования: Kuang Fei, Ren Jing, Huan Yi, Chen Ziqian, Zhong Qun. Apparent diffusion coefficients of normal uterus in premenopausal women with 3.0-T magnetic resonance imaging.. Journal of computer assisted tomography. 2012. DOI: 10.1097/rct.0b013e3182418885.

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