0:01

All right, so thank you for the time we've

0:03

spent together today looking at ovarian masses.

0:06

So to summarize, I want your takeaways

0:09

to be that radiologists should be aware

0:12

of the normal physiologic appearance

0:14

of the ovary on ultrasound and MRI.

0:17

So now, hopefully, you have an idea

0:19

of when to work up an ovarian mass.

0:22

Be aware of whether the patient is

0:23

premenopausal or postmenopausal

0:26

because that has some implications

0:27

on the diagnosis and the follow-up algorithm for the patient.

0:29

14 00:00:32,705 --> 00:00:34,735 And now you have some idea of what the

0:34

O-RADS features are and what role size

0:38

plays in assigning an O-RADS category.

0:41

Secondly, we want to use MRI

0:43

signal characteristics and

0:45

artifacts to characterize lesions.

0:47

So T1 and T2 signal can really give you lots

0:51

of information as can fat saturation for

0:54

certain ovarian lesions like endometrioma

0:56

or teratoma or cystadenofibroma as we saw.

1:00

And remember that some of the artifacts

1:02

like chemical shift, which we sometimes

1:04

find annoying, can actually be helpful

1:07

in enabling us to reach a diagnosis.

1:11

Endometriosis is a very common disease

1:13

that we see in the female pelvis.

1:15

So remember the three-step approach.

1:17

We use the compartment model, we look for

1:20

ovarian disease, and we look for extra

1:22

ovarian disease in all three compartments.

1:25

Be aware of those surgical blind spots.

1:27

And if you're able to, you have the option

1:31

to use dynamic features on ultrasound,

1:33

including compression and real-time scanning.

1:37

And then ovarian masses,

1:38

a few of them have unique MRI

1:40

features, which hopefully now you

1:42

have some more knowledge about.

1:44

History can be key in these

1:46

cases, and ultrasound and MRI

1:48

are complementary to one another.

1:51

So thank you very much.