Is endometriosis typology a potentially better classification system for assessing risk of female infertility?

Objective: To determine whether endometriosis typology, namely ovarian endometriomas (OE), deep infiltrating endometriosis (DIE), or superficial endometriosis (SE), correlates with fertility history.

Design: Prospective cohort.

Setting: One of fourteen surgical centers in Salt Lake City, Utah (n = 5) or San Francisco, California (n = 9).

Funding rules that promote equity in climate adaptation outcomes.

Many climate policies adopt improving equity as a key objective. A key challenge is that policies often conceive of equity in terms of individuals but introduce strategies that focus on spatially coarse administrative areas. For example, the Justice40 Initiative in the United States requires 518 diverse federal programs to prioritize funds for "disadvantaged" census tracts.

Validation of administrative health data for the identification of endometriosis diagnosis.

Study Question: How do endometriosis diagnoses and subtypes reported in administrative health data compare with surgically confirmed disease?

Summary Answer: For endometriosis diagnosis, we observed substantial agreement and high sensitivity and specificity between administrative health data-International Classification of Diseases (ICD) 9 codes-and surgically confirmed diagnoses among participants who underwent gynecologic laparoscopy or laparotomy.

What Is Known Already: Several studies have assessed the validity of self-reported endometriosis in comparison to medical record reporting, finding strong confirmation. We previously reported high inter- and intra-surgeon agreement for endometriosis diagnosis in the Endometriosis, Natural History, Diagnosis, and Outcomes (ENDO) Study.

HRS Improves Active Surveillance for Prostate Cancer by Timely Identification of Progression.

Rationale And Objectives: Active surveillance (AS) is the preferred management strategy for low-risk prostate cancer. This study aimed to evaluate the impact of Habitat Risk Score (HRS), an automated approach for mpMRI analysis, for early detection of progressors in a prospective AS clinical trial (MAST NCT02242773).

Materials And Methods: The MAST protocol includes Confirmatory mpMRI ultrasound fusion (MRI-US) biopsy and yearly surveillance MRI-US biopsies for up to 3 years.