Aims: Searching for and mutations within non-small cell lung carcinoma (NSCLC) samples remains time-consuming and can delay treatment choices in patients with acute deterioration. We evaluated the performances of the fully automated Idylla platform to quickly detect these mutations in NSCLC samples.
Methods: We used the Idylla Mutation Assay and the Idylla Mutation Test to analyse 18 formalin-fixed paraffin-embedded NSCLC tumour samples with known and mutation status according to next-generation sequencing (NGS) and droplet digital PCR (ddPCR) for mutations.
Results: Idylla assays identified and activating mutations in 4 and 10 NSCLC samples, respectively. resistance mutations were identified in only 1 sample using Idylla but in 4 and 14 samples using NGS and ddPCR, respectively. No false-positive result was noted with Idylla assays. Mutation written report was obtained after 130 min ( assays) to 140 min ( assays).
Conclusions: The Idylla platform is an interesting ancillary first-line fast and fully automated tool to detect and mutations in NSCLC samples allowing rapid treatment choices in patients with acute deterioration.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1136/jclinpath-2016-204202 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Assessment of deep learning technique for fully automated mandibular segmentation.
Am J Orthod Dentofacial Orthop
February 2025
Department of Orthodontics, Faculty of Dentistry, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Introduction: This study aimed to assess the precision of an open-source, clinician-trained, and user-friendly convolutional neural network-based model for automatically segmenting the mandible.
Methods: A total of 55 cone-beam computed tomography scans that met the inclusion criteria were collected and divided into test and training groups. The MONAI (Medical Open Network for Artificial Intelligence) Label active learning tool extension was used to train the automatic model.
Fully Automated Production of ((()-1-Carboxy-5-(6-([F]fluoro)-2-methoxynicotinamido)pentyl)carbamoyl)-l-glutamic Acid ([F]JK-PSMA-7).
Pharmaceuticals (Basel)
January 2025
Forschungszentrum Jülich GmbH, Institute of Neuroscience and Medicine, Nuclear Chemistry (INM-5), Wilhelm-Johnen-Str., 52428 Jülich, Germany.
The radiotracer [F]JK-PSMA-7, a prostate cancer imaging agent for positron emission tomography (PET), was previously synthesized by indirect radiofluorination using an F-labeled active ester as a prosthetic group, which had to be isolated and purified before it could be linked to the pharmacologically active Lys-urea-Glu motif. Although this procedure could be automated on two-reactor modules like the GE TRACERLab FX2N (FXN) to afford the tracer in modest radiochemical yields (RCY) of 18-25%, it is unsuitable for cassette-based systems with a single reactor. To simplify implementation on an automated synthesis module, the radiosynthesis of [F]JK-PSMA-7 was devised as a one-pot, two-step reaction.
View Article and Find Full Text PDFTTSNet: Transformer-Temporal Convolutional Network-Self-Attention with Feature Fusion for Prediction of Remaining Useful Life of Aircraft Engines.
Sensors (Basel)
January 2025
Key Laboratory of Artificial Intelligence of Sichuan Province, Yibin 644000, China.
Accurately predicting the remaining useful life (RUL) is crucial for ensuring the safety and reliability of aircraft engine operation. However, aircraft engines operate in harsh conditions, with the characteristics of high speed, high temperature, and high load, resulting in high-dimensional and noisy data. This makes feature extraction inadequate, leading to low accuracy in the prediction of the RUL of aircraft engines.
View Article and Find Full Text PDFInductive Power Transfer Coil Misalignment Perception and Correction for Wirelessly Recharging Underground Sensors.
Sensors (Basel)
January 2025
Department of Mechanical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Field implementations of fully underground sensor networks face many practical challenges that have limited their overall adoption. Power management is a commonly cited issue, as operators are required to either repeatedly excavate batteries for recharging or develop complex underground power infrastructures. Prior works have proposed wireless inductive power transfer (IPT) as a potential solution to these power management issues, but misalignment is a persistent issue in IPT systems, particularly in applications involving moving vehicles or obscured (e.
View Article and Find Full Text PDFSeed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models.
Sensors (Basel)
January 2025
Department of Earth, Environment and Geospatial Sciences, Saint Louis University, Saint Louis, MO 63108, USA.
Wheat is a globally cultivated cereal crop with substantial protein content present in its seeds. This research aimed to develop robust methods for predicting seed protein concentration in wheat seeds using bench-top hyperspectral imaging in the visible, near-infrared (VNIR), and shortwave infrared (SWIR) regions. To fully utilize the spectral and texture features of the full VNIR and SWIR spectral domains, a computer-vision-aided image co-registration methodology was implemented to seamlessly align the VNIR and SWIR bands.
View Article and Find Full Text PDFWant 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!