|ECR 2019 / C-0328|
|Dynamic contrast-enhanced magnetic resonance imaging with curve type analysis can be used to differentiate adnexal masses|
Aims and objectives
Yearly 239000 new cases and 152000 deaths from ovarian cancer (OC) are registered worldwide. OC is the 7th most common cancer and the 8th cause of women death from cancer. 5 years survival reaches 20%. However less than 30% of women with OC are diagnosed at the stage I (although 90% of these will survive up to 5 years) . An important reason of high mortality rates of patients with OC is the identification of the lesion at stage III and/or IV. This is dependent on often nonsymptomatic development of disease and/or nonspecific symptoms at early stages of OC .
Preoperative diagnostic of adnexal masses lesion is crucial to avoid unnecessary surgery of ovarian benign masses . Women believed to have OC usually require additional radical cytoreductive surgery followed by chemotherapy or alternatively neoadjuvant chemotherapy followed by interval debulking. Conversely women with benign adnexal masses may be either treated conservatively or undergo a simple resection by a general gynecologist .
Ovarian tumors (OT) are mainly diagnosed by preoperative imaging. Ultrasound is generally used as a first-choice examination (“golden standard”) for ovarian lesions screening. However, it is not always helpful for the definitive diagnosis of some indeterminate OT. Magnetic resonance imaging (MRI) has been proven to provide more anatomical information of ovarian masses and adjacent structures through its high spatial resolution and soft-tissue contrast and is helpful for differentiating diagnosis . Although some morphological characteristics have been described and there are still some overlapping features on conventional MRI among OT. As dynamic contrast enhanced MRI (DCE-MRI) as advanced technique could be used not only to assess the microcirculatory perfusion and the vascular permeability in OT noninvasively, but provide a more comprehensive discrimination of OT according to the time-intensity curves (TIC) and some semi-quantitative parameters . Thus, the aim of our study is to evaluate the diagnostic efficacy of DCE-MRI with curves semi-quantitative parameters analysis in differentiating between benign (BOT) and malignant ovarian tumors (MOT).
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