|
|
| Автор: Haydee Ojeda-Fournier |
| Издательство: John Wiley & Sons Limited |
| Cтраниц: 1 |
| Формат: PDF |
| Размер: 0 |
| ISBN: 9781118482872 |
| Качество: excellent |
| Язык: |
|
 |
|
Описание:
|
The first complete reference dedicated to the full spectrum of women's imaging topics «Women’s imaging» refers to the use of imaging modalities (X-ray, ultrasound, CT scan, and MRI) available for aiding in the diagnosis and care of such female-centric diseases as cancer of the breast, uterus, and ovaries. Currently, there is no single reference source that provides adequate discussions of MRI and its important role in the diagnosis of patients with women's health issues. Thoroughly illustrated with the highest-quality radiographic images available, Women’s Imaging: MRI with Multimodality Correlation provides a concise overview of the topic and emphasizes practical image interpretation. It makes clear use of tables and diagrams, and offers careful examination of differential diagnosis with special notes on key learning points. Placing great emphasis on magnetic resonance imaging (MRI), while providing correlations to other important imaging modalities, the comprehensive book features the latest guidelines on imaging screening and includes in-depth chapter coverage of: Pelvis MRI: Introduction and Technique Imaging the Vagina and Urethra Pelvic Floor Imaging Imaging the Uterus Imaging the Adnexa Imaging Maternal Conditions in Pregnancy Fetal Imaging Breast MRI: Introduction and Technique ACR Breast MRI Lexicon and Interpretation Preoperative Breast Cancer Evaluation and Advanced Breast Cancer Imaging Postsurgical Breast and Implant Imaging MR-Guided Breast Interventions Providing up-to-date information on many of the health issues that affect women across the globe, Women's Imaging will appeal to all general radiologists – especially those specializing in body imaging, breast imaging, and women’s imaging – as well as gynaecologists and obstetricians, breast surgeons, oncologists, radiation oncologists, and MRI technologists.
|
Пресс - релиз
string(4) "true"
int(290)
|
