Correlation of the Sinonasal Outcome Test-22 With the University of Washington Quality of Life in Assessing Quality of Life in Sinonasal Malignancy Utilizing a Multicenter Prospective Observational Cohort Registry.

In this multi-center sinonasal malignancies (SNM) cohort, the Sino-nasal Outcome Test has a correlation with the University of Washington Quality of Life (UWQOL) for assessing QOL. The use of both instruments remains recommended to provide complete and complementary information. Future design of an easy-to-use tool specific to SNM is needed to encompass all aspects of QOL.

Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions.

Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases and 242,009 controls of African, Asian and European ancestry. We identified 332 independent association signals for breast cancer risk, including 131 signals not reported previously, and for 50 of them, we narrowed the credible causal variants down to a single variant.

Craniofacial Pain Locations and Outcomes After Endoscopic Sinus Surgery for Unilateral Sphenoid Sinusitis: A Multi-Institutional Study.

Introduction: Unilateral sphenoid sinus opacification on computed tomography is caused by a variety of pathologies including inflammatory and infectious sinusitis, benign and malignant tumors, and encephaloceles. The purpose of this study was to report craniofacial pain locations and outcomes in inflammatory unilateral sphenoid sinusitis (USS) patients who underwent endoscopic sinus surgery (ESS).

Methods: A multi-institutional retrospective cohort study was conducted on all adult patients who had ESS for USS from 2015 to 2022.

A Method for the Separation of Phytophthora Oosporesfrom Soil for DNA-Based Detection.

Here, we present a protocol for the isolation and detection of Phytophthora oospores directly from soil samples. Our method incorporates a novel technique for isolating Phytophthora oospores using filter pouches and an improved DNA extraction procedure specifically designed for oospores. While we have primarily developed this protocol for detecting P.