Pilot Study on the Use of Untargeted Metabolomic Fingerprinting of Liquid-Cytology Fluids as a Diagnostic Tool of Malignancy for Thyroid Nodules.

Although it is the gold standard for assessing the malignancy of thyroid nodules (TNs) preoperatively, the cytological analysis of fine-needle aspiration cytology (FNAC) samples results in 20-30% of cases in indeterminate lesions (ITNs). As two-thirds of these lesions will appear benign after diagnostic surgery, improved preoperative diagnostic methods need to be developed. In this pilot study, we evaluate if the metabolomic profiles of liquid-based (CytoRich) FNAC samples of benign and malignant nodules can allow the molecular diagnosis of TNs.

Validation of RUBY for Breast Cancer Knowledge Extraction From a Large French Electronic Medical Record System.

Purpose: RUBY is a tool for extracting clinical data on breast cancer from French medical records on the basis of named entity recognition models combined with keyword extraction and postprocessing rules. Although initial results showed a high precision of the system in extracting clinical information from surgery, pathology, and biopsy reports (≥92.7%) and good precision in extracting data from consultation reports (81.

SENODAY: A New Perspective of Handling Breast Cancer.

Background: To evaluate the feasibility of a same day breast cancer diagnosis and management protocol, consequently decreasing time to treatment and immediately reassuring patients with benign diagnosis.

Materials And Methods: A total of 60 women underwent breast exam during SENODAY in our cancer center between January 2020 and December 2022. Patients are first seen by a breast surgeon who mentions whether the patient's history and physical exam are suspicious of malignancy.

RUBY: Natural Language Processing of French Electronic Medical Records for Breast Cancer Research.

Purpose: Electronic medical records are a valuable source of information about patients' clinical status but are often free-text documents that require laborious manual review to be exploited. Techniques from computer science have been investigated, but the literature has marginally focused on non-English language texts. We developed RUBY, a tool designed in collaboration with IBM-France to automatically structure clinical information from French medical records of patients with breast cancer.

[2021 update of the GEFPICS' recommendations for HER2 status assessment in invasive breast cancer in France].

The last international guidelines on HER2 determination in breast cancer have been updated in 2018 by the American Society of Clinical Oncology and College of American Pathologists, on the basis of a twenty-year practice and results of numerous clinical trials. Moreover, the emerging HER2-low concept for 1+ and 2+ non amplified breast cancers lead to refine French practices for HER2 status assessment. The GEFPICS group, composed of expert pathologists, herein presents the latest French recommendations for HER2 status evaluation in breast cancer, taking into account the ASCO/CAP guidelines and introducing the HER2-low concept.