non-small-cell lung cancer

Welcome to the blog on Artificial Intelligence of
the European Society of Radiology

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.

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Latest posts

Can radiomics signatures predict tumor reponse of patients treated with chemotherapy and targeted therapy?

The authors of this retrospective study had the goal of evaluating the effectiveness of radiomics signatures in order to predict the tumor response of non-small cell lung cancer (NSCLC) patients who were treated with first-line chemotherapy, targeted therapy, or a combination of the two. The authors determined that radiomics signatures based on pre-treatment CT scans can accurately predict tumor response

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Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images

In this study, the aim of the authors was to investigate the feasibility and accuracy of differentiating the primary adenocarcinoma (AD) and squamous cell carcinoma (SCC) of non-small-cell lung cancer (NSCLC) for patients with brain metastases (BM) based on radiomics from brain contrast-enhanced computer tomography (CECT) images. Through this study, the authors discovered that brain CECT radiomics are promising in

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Can radiomics signatures predict tumor reponse of patients treated with chemotherapy and targeted therapy?

The authors of this retrospective study had the goal of evaluating the effectiveness of radiomics signatures in order to predict the tumor response of non-small cell lung cancer (NSCLC) patients who were treated with first-line chemotherapy, targeted therapy, or a combination of the two. The authors determined that radiomics signatures based on pre-treatment CT scans can accurately predict tumor response

Read More →

Differentiating the pathological subtypes of primary lung cancer for patients with brain metastases based on radiomics features from brain CT images

In this study, the aim of the authors was to investigate the feasibility and accuracy of differentiating the primary adenocarcinoma (AD) and squamous cell carcinoma (SCC) of non-small-cell lung cancer (NSCLC) for patients with brain metastases (BM) based on radiomics from brain contrast-enhanced computer tomography (CECT) images. Through this study, the authors discovered that brain CECT radiomics are promising in

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Footnotes:

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Reduced registration fees for ECR 2024:
Provided that ESR 2023 membership is activated and approved by August 31, 2023 (excl. "Members in Training Offer").

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