Two-dimensional computed tomography scans no longer offer the level of detail that many surgeons desire for more accurate and precise surgical intervention. Computed tomography image reconstruction into three dimensional (3D) virtual models with interactive capability is providing an enhanced understanding of the patient's anatomy and pathology allowing the surgeon to create tailored intraoperative plans, minimizing complications and maximizing the intended therapeutic outcome. In this case report we demonstrate the use of 3D image reconstruction software in the management of a 36-year-old female with metastatic breast cancer affecting the chest wall.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255651PMC
http://dx.doi.org/10.4274/ejbh.galenos.2022.2022-3-6DOI Listing

Publication Analysis

Top Keywords

three dimensional
8
chest wall
8
metastatic breast
8
breast cancer
8
computed tomography
8
image reconstruction
8
dimensional modelling
4
modelling optimisation
4
optimisation chest
4
wall resection
4

Similar Publications

Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.

Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.

View Article and Find Full Text PDF

A genome-wide atlas of human cell morphology.

Nat Methods

January 2025

Broad Institute of MIT and Harvard, Cambridge, MA, USA.

A key challenge of the modern genomics era is developing empirical data-driven representations of gene function. Here we present the first unbiased morphology-based genome-wide perturbation atlas in human cells, containing three genome-wide genotype-phenotype maps comprising CRISPR-Cas9-based knockouts of >20,000 genes in >30 million cells. Our optical pooled cell profiling platform (PERISCOPE) combines a destainable high-dimensional phenotyping panel (based on Cell Painting) with optical sequencing of molecular barcodes and a scalable open-source analysis pipeline to facilitate massively parallel screening of pooled perturbation libraries.

View Article and Find Full Text PDF

In the present digital scenario, the explosion of Internet of Things (IoT) devices makes massive volumes of high-dimensional data, presenting significant data and privacy security challenges. As IoT networks enlarge, certifying sensitive data privacy while still employing data analytics authority is vital. In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications.

View Article and Find Full Text PDF

Obesity and type 2 diabetes (T2D) are strongly linked to abnormal adipocyte metabolism and adipose tissue (AT) dysfunction. However, existing adipose tissue models have limitations, particularly in the stable culture of fat cells that maintain physiologically relevant phenotypes, hindering a deeper understanding of adipocyte biology and the molecular mechanisms behind differentiation. Current model systems fail to fully replicate in vivo metabolism, posing challenges in adipose research.

View Article and Find Full Text PDF

Background: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding.

Purpose: We present a semi-automated analysis of 21 years of R-type National Cancer Institute (NCI) grants to departments of radiation oncology and radiology using natural language processing (NLP).

Methods: We selected all non-education R-type NCI grants from 2000 to 2020 awarded to departments of radiation oncology/radiology with affiliated schools of medicine.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!