Publications by authors named "Marta Engelking"
Diaphragm tumors are very rare, with secondary tumors being more common than primary tumors. The most common benign primary tumors include lipomas and cysts, and malignant primary tumors include rhabdomyosarcoma and leiomyosarcoma. Endometriosis is the most common benign secondary tumor, followed by malignant tumors with localized spread of disease.
View Article and Find Full Text PDFBackground: American Indian/Alaska Native (AI/AN) women with estrogen receptor-positive (ER +) breast cancer have higher mortality compared to non-Hispanic whites (NHW). The purpose of this study is to compare rates of initiation of endocrine therapy (ET) between AI/AN and NHW and further determine survival outcomes for ER + breast cancer.
Methods: We used the National Cancer Database to identify patients diagnosed with ER + breast cancer, stage I-III, between 2004 and 2017.
Background: Previous research supports that distal translation of the tibial tubercle osteotomy (dTTO) for patients with recurrent lateral patellar dislocation (R-LPD) and patella alta is effective for surgical patellar stabilization.
Hypothesis/purpose: The main purpose of this article is to evaluate (1) the results of modifying the surgical threshold and postoperative goal of patellar height measurements for surgical stabilization originated in the "menu à la carte" approach to patellar surgical stabilization and (2) the relationship between the distance distalized in millimeters and postoperative complications. Our hypothesis was that dTTO with medial patellofemoral ligament reconstruction (MPFL-R) will successfully stabilize the patella with improvement in outcome scores and few complications, using a modification of the original menu à la carte as our surgical algorithm.
Article Synopsis
- Manual extraction of data from electronic medical records is inefficient and often leads to errors, which can be improved by automating this process with standardized terminology.
- The developed algorithm, tbiExtractor, utilizes negation detection and contextual features to extract key clinical data related to traumatic brain injury from CT reports, producing a structured summary of findings.
- tbiExtractor shows high accuracy and efficiency, significantly reducing extraction time and error rates, while providing consistent and reliable data for clinical and research purposes.