Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Quantum Cascade Laser-Based Infrared Imaging as a Label-Free and Automated Approach to Determine Mutations in Lung Adenocarcinoma.

The American journal of pathology - 1 Jul 2021

Goertzen Nina, Pappesch Roberto, Fassunke Jana, Brüning Thomas, Ko Yon-Dschun, Schmidt Joachim, Großerueschkamp Frederik, Buettner Reinhard, Gerwert Klaus

Abstract excerpt

Therapeutic decisions in lung cancer critically depend on the determination of histologic types and oncogene mutations. Therefore, tumor samples are subjected to standard histologic and immunohistochemical analyses and examined for relevant mutations using comprehensive molecular diagnostics. In this study, an alternative diagnostic approach for automatic and label-free detection of mutations in lung...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adenocarcinoma of Lung
Share to Aged

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Aged, 80 and over

Share to DNA Mutational Analysis

Share to Lung Neoplasms

Share to Microscopy

Share to Sensitivity and Specificity

Share to Spectroscopy, Fourier Transform Infrared

Source

Identifiers

PMID: 34004158
DOI: 10.1016/j.ajpath.2021.04.013

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Quantum Cascade Laser-Based Infrared Imaging as a Label-Free and Automated Approach to Determine Mutations in Lung Adenocarcinoma.PMID 34004158Read ↗

Research for accurate auxiliary diagnosis of lung cancer based on intracellular fluorescent fingerprint information.Semantic proximity Read ↗

Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas.Semantic proximity Read ↗

Machine learning-based gene alteration prediction model for primary lung cancer using cytologic images.Semantic proximity Read ↗

Dual-energy spectral CT characteristics in surgically resected lung adenocarcinoma: comparison between Kirsten rat sarcoma viral oncogene mutations and epidermal growth factor receptor mutations.Semantic proximity Read ↗

Predictive radiogenomics modeling of EGFR mutation status in lung cancer.Semantic proximity Read ↗

A Radiogenomics Ensemble to Predict EGFR and KRAS Mutations in NSCLC.Semantic proximity Read ↗

Epidermal growth factor receptor mutations in lung adenocarcinoma: associations between dual-energy spectral CT measurements and histologic results.Semantic proximity Read ↗

Image-Based Phenotypic Profiling Enables Rapid and Accurate Assessment of EGFR-Activating Mutations in Tissues from Lung Cancer Patients.Semantic proximity Read ↗

Spectroscopy and Machine Learning Based Rapid Point-of-Care Assessment of Core Needle Cancer BiopsiesSemantic proximity Read ↗

Combined Spectral CT and Perfusion CT for Noninvasive Prediction of EGFR Mutation Status in Non-Small Cell Lung CancerSemantic proximity Read ↗

A fluorogenic probe for predicting treatment response in non-small cell lung cancer with EGFR-activating mutations.Semantic proximity Read ↗

Detection of Lung Cancer and EGFR Mutation by Electronic Nose System.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.