Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision.

Aim: Artificial intelligence (AI)-based breast cancer grading may help to overcome perceived limitations of human assessment. Here, the potential value of AI grade was evaluated at the molecular level and in predicting patient outcome.

Methods And Results: A supervised convolutional neural network (CNN) model was trained on images of 612 breast cancers from The Cancer Genome Atlas (TCGA).

The nucleolar-related protein Dyskerin pseudouridine synthase 1 (DKC1) predicts poor prognosis in breast cancer.

Background: Hypertrophy of the nucleolus is a distinctive cytological feature of malignant cells and corresponds to aggressive behaviour. This study aimed to identify the key gene associated with nucleolar prominence (NP) in breast cancer (BC) and determine its prognostic significance.

Methods: From The Cancer Genome Atlas (TCGA) cohort, digital whole slide images identified cancers having NP served as label and an information theory algorithm was applied to find which mRNA gene best explained NP.

Visual histological assessment of morphological features reflects the underlying molecular profile in invasive breast cancer: a morphomolecular study.

Aims: Tumour genotype and phenotype are related and can predict outcome. In this study, we hypothesised that the visual assessment of breast cancer (BC) morphological features can provide valuable insight into underlying molecular profiles.

Methods And Results: The Cancer Genome Atlas (TCGA) BC cohort was used (n = 743) and morphological features, including Nottingham grade and its components and nucleolar prominence, were assessed utilising whole-slide images (WSIs).

Prognostic significance of nucleolar assessment in invasive breast cancer.

Aims: Nucleolar morphometric features have a potential role in the assessment of the aggressiveness of many cancers. However, the role of nucleoli in invasive breast cancer (BC) is still unclear. The aims of this study were to investigate the optimal method for scoring nucleoli in IBC and their prognostic significance, and to refine the grading of breast cancer (BC) by incorporating nucleolar score.

Optimizing energy expenditure and oxygenation toward ventilator tolerance is associated with lower ventilator and intensive care unit days.

Background: We hypothesize that if both energy expenditure and oxygenation are optimized (EEOO) toward ventilator tolerance, this would provide patients with the best condition to be liberated from the ventilator. We defined ventilator tolerance as having a respiratory quotient value between 0.7 and 1.

Final 5-Year Results in Unselected Patients Implanted With a Thin-Strut, Platinum-Chromium, Everolimus-Eluting Stent (from the PROMUS Element Plus US Post-Approval Study).

PROMUS Element (PE) Plus post-approval study was a large prospective, observational, all-comers study designed to evaluate the safety and performance of a thin-strut platinum chromium everolimus-eluting PE Plus stent in everyday clinical practice. A total of 2,683 "real-world" patients with limited clinical or anatomic exclusion criteria were enrolled at 52 clinical sites in the United States. The study met its primary end point of 12-month cardiac death or myocardial infarction (CD/MI) compared with a prespecified performance goal (p <0.

Impact of breast cancer grade discordance on prediction of outcome.

Aims: Histological grade is an independent prognostic variable in breast cancer (BC). Previous concordance studies of BC grade have reported moderate levels of agreement; a typical finding in morphological assessment of biological variables. This study aimed to investigate the impact of discordance on the prognostic value of grade and to identify the best reporting approach in borderline cases.

Breast cancer histologic grading using digital microscopy: concordance and outcome association.

Aims: Virtual microscopy utilising digital whole slide imaging (WSI) is increasingly used in breast pathology. Histologic grade is one of the strongest prognostic factors in breast cancer (BC). This study aims at investigating the agreement between BC grading using traditional light microscopy (LM) and digital WSI with consideration of reproducibility and impact on outcome prediction.

One-Year Outcomes in "Real-World" Patients Treated With a Thin-Strut, Platinum-Chromium, Everolimus-Eluting Stent (from the PROMUS Element Plus US Post-Approval Study [PE-Plus PAS]).

The PROMUS Element Plus US Post-Approval Study (PE-Plus PAS) was a prospective, open-label, multicenter, observational study designed to examine outcomes in everyday clinical practice in patients treated with everolimus-eluting, platinum-chromium PROMUS Element Plus stents at 52 centers in the United States. This is the first report of results from this large study. The primary end point of the PE-Plus PAS was 12-month cardiac death or myocardial infarction in the more restricted population of "PLATINUM-like" patients pooled from the PE-Plus PAS, PE-PROVE (PROMUS Element European post-approval study), and PLATINUM Workhorse/Small Vessel trials.