AIMC Topic: Neoplastic Cells, Circulating
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Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With Stereotactic Body Radiation Therapy.
International journal of radiation oncology, biology, physics
Nov 11, 2021
PURPOSE: We develop a deep learning (DL) radiomics model and integrate it with circulating tumor cell (CTC) counts as a clinically useful prognostic marker for predicting recurrence outcomes of early-stage (ES) non-small cell lung cancer (NSCLC) pati...
Robot-assisted versus open surgery for radical nephrectomy with level 1-2 vena cava tumor thrombectomy: a French monocenter experience (UroCCR study #73).
Minerva urology and nephrology
Nov 17, 2020
BACKGROUND: The aim of this paper was to assess the feasibility of robot-assisted radical nephrectomy (RN) with inferior vena cava thrombectomy (RRVCT) and compare perioperative and oncological outcomes of this approach to open surgery for renal tumo...
ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.
Theranostics
Sep 2, 2020
A fully automated and accurate assay of rare cell phenotypes in densely-packed fluorescently-labeled liquid biopsy images remains elusive. Employing a hybrid artificial intelligence (AI) paradigm that combines traditional rule-based morphological ma...
Predictive Value of Tests
Principal Component Analysis
Neoplastic Cells, Circulating
Middle Aged
Image Processing, Computer-Assisted
Pancreatic Neoplasms
Liquid Biopsy
Computer Security
Cell Count
Microscopy, Fluorescence
Internet of Things
Machine Learning
Software
Female
Biomarkers, Tumor
Male
Reproducibility of Results
Aged
Humans
Detection of Rare Objects by Flow Cytometry: Imaging, Cell Sorting, and Deep Learning Approaches.
International journal of molecular sciences
Mar 27, 2020
Flow cytometry nowadays is among the main working instruments in modern biology paving the way for clinics to provide early, quick, and reliable diagnostics of many blood-related diseases. The major problem for clinical applications is the detection ...
Photoelectrochemical detection of circulating tumor cells based on aptamer conjugated CuO as signal probe.
Biosensors & bioelectronics
Dec 20, 2019
In this work, a sensitive and reliable photoelectrochemical (PEC) biosensor was proposed based on hexagonal carbon nitride tubes (HCNT) as photoactive material for detection of circulating tumor cells (CTCs). Magnetic FeO nanospheres (MNs) and CuO na...
Light-driven ultrasensitive self-powered cytosensing of circulating tumor cells via integration of biofuel cells and a photoelectrochemical strategy.
Journal of materials chemistry. B
Mar 8, 2019
Herein, a light-driven, membrane-less and mediator-less self-powered cytosensing platform via integration of biofuel cells (BFCs) and a photoelectrochemical strategy was developed for ultrasensitive detection of circulating tumor cells (CTCs). To con...
Multifunctional luminescent immuno-magnetic nanoparticles: toward fast, efficient, cell-friendly capture and recovery of circulating tumor cells.
Journal of materials chemistry. B
Dec 19, 2018
Highly efficient isolation and recovery of viable circulating tumor cells (CTCs) from the blood of patients is an important precondition to address the current dilemma of insufficient CTC studies, and can promote the development of individualized ant...
Analogous detection of circulating tumor cells using the AccuCyte -CyteFinder system and ISET system in patients with locally advanced and metastatic prostate cancer.
The Prostate
Dec 29, 2017
INTRODUCTION: Circulating tumor cells (CTCs) can provide important information on patient's prognosis and treatment efficacy. Currently, a plethora of methods is available for the detection of these rare cells. We compared the outcomes of two of thos...
Challenges in circulating tumor cell detection by the CellSearch system.
Molecular oncology
Dec 25, 2015
Enumeration and characterization of circulating tumor cells (CTC) hold the promise of a real time liquid biopsy. They are however present in a large background of hematopoietic cells making their isolation technically challenging. In 2004, the CellSe...
Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance.
Journal of immunology research
Oct 4, 2015
Application of personalized medicine requires integration of different data to determine each patient's unique clinical constitution. The automated analysis of medical data is a growing field where different machine learning techniques are used to mi...
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