Mechanistic Characterization of Uterine Pain

Study Summary

There are limited treatment options for management of dysmenorrhea, and the physiological processes they affect are not completely understood. For example, NSAIDs are effective in reducing menstrual pain in some women by inhibition of prostaglandin synthesis, but whether those effects are mediated by affecting contractility, perfusion, or hypoxemia is unknown. Understanding how these drugs relieve menstrual pain (and why they fail) would be of substantial clinical significance. Given the foregoing, Two Specific Aims are proposed: Aim #1: Characterize menstrual pain phenotypes associated with impairments in myometrial activity, perfusion, and/or oxygenation. Continuous MRI scans of the uterus will be performed with simultaneous measurement of self-reported pain in healthy women and those experiencing menstrual pain. The investigators will include cohorts of women with imaging diagnosed leiomyoma and surgically-confirmed endometriosis to evaluate the contribution of structurally identifiable factors. Based on preliminary data, the investigators anticipate finding four phenotypes with menstrual pain related to: 1) myometrial activity, 2) inadequate perfusion and/or oxygenation, 3) a combination of phenotypes 1 \& 2, and 4) a non-uterine source. Aim #2: Evaluate the effects of naproxen on myometrial activity, perfusion, and/or oxygenation with respect to pain relief. In women with primary dysmenorrhea, the investigators will acquire pelvic MRI scans and evaluate self-reported menstrual cramping pain before and after administration of randomized naproxen or placebo. Naproxen could principally affect one or more potential sources of uterine pain such as myometrial activity, perfusion, and/or oxygenation. The investigators will corroborate preliminary data findings, which suggest menstrual phenotypes with myometrial activity will be more likely to respond. Conversely, Aim 2 will also elucidate the mechanisms responsible for inadequate pain relief from naproxen. Bioavai

Primary Outcome

The investigators will calculate the change in R2\*, ASL (arterial spin label), HASTE, and BOLD (Blood Oxygen Level Dependent) signal for each menstrual pain phenotype. Principal component analysis of derived MRI signal variables and subsequent scree plotting will be used to reduce the dataset to 4-6 representative parameters that meaningfully separate potential phenotypes via hierarchical cluster analysis (R cluster library). Cluster dissimilarity metrics will be used to establish the probable

Interventions

• DRUG Naproxen Sodium