Publications by authors named "Mariana Borras Osorio"
Background: We aim to use Natural Language Processing to automate the extraction and classification of thyroid cancer risk factors from pathology reports.
Methods: We analyzed 1410 surgical pathology reports from adult papillary thyroid cancer patients from 2010 to 2019. Structured and nonstructured reports were used to create a consensus-based ground truth dictionary and categorized them into modified recurrence risk levels.
Significance of Pathologic Response in Patients With Early and Locally Advanced Breast Cancer Treated With Neoadjuvant Chemotherapy in a Middle-Income Country. A Real-World Historical Cohort.
JCO Glob Oncol
July 2024
Purpose: Breast cancer (BC) is the most frequent neoplasm in women in Colombia and is associated with a higher mortality rate than in other countries and regions. Neoadjuvant chemotherapy (NACT) has become a standard treatment in locally advanced BC and provides an opportunity to improve clinical outcomes in BC. This study aims to describe characteristics, treatment patterns, and outcomes after NACT in a cohort of Colombian patients with BC.
View Article and Find Full Text PDFArticle Synopsis
- High-definition liposculpture (HDL) improves muscular definition but challenges like skin laxity and edema still exist post-surgery.
- A new technique involving a continuous suture-splint was tested on 52 patients undergoing HDL to address these issues, using ultrasound for safety.
- Results showed minimal complications, high patient satisfaction, and effective reduction in edema and skin laxity, suggesting the suture-splint method enhances recovery after body contouring.
Background: Perioperative hypothermia in plastic surgery has underestimated risks, including increased risk of infection, cardiac events, blood loss, prolonged recovery time, and increased nausea, pain, and opioid usage. Inadequate preventive measures can result in up to 4 hours of normothermia restoration.
Objectives: The aim was to compare the impact of different strategies for normothermia during plastic surgery procedures and their relationship with clinical outcomes.
This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future directions. We performed a systematic search of databases for studies describing NLP applications in thyroid conditions published in English between January 1, 2012 and November 4, 2022. In addition, we used a snowballing technique to identify studies missed in the initial search or published after our search timeline until April 1, 2023.
View Article and Find Full Text PDFObjective: To address thyroid cancer overdiagnosis, we aim to develop a natural language processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS).
Patients And Methods: Between 2017 and 2021, we identified 18,000 TUS patients at Mayo Clinic and selected 628 for chart review to create a ground truth dataset based on consensus. We developed a rule-based NLP pipeline to identify TUS as appropriate TUS (aTUS) or inappropriate TUS (iTUS) using patients' clinical notes and additional meta information.