Prediction of Immune Checkpoint Inhibitors Treatment Response of Non-Small Cell Lung Cancer Patients from Serial Computed Tomography Scans Based on Global …
Background: This study aimed to predict the response of NSCLC patients to immune
checkpoint inhibitors (ICIs) by utilizing computed tomography (CT) images through deep …
checkpoint inhibitors (ICIs) by utilizing computed tomography (CT) images through deep …
Deep learning–based chest CT model to predict treatment response to immune checkpoint inhibitors in non-small cell lung cancer independently and additively to …
CH Ahn, DY Jeong, J Moon, J Park, J Shin, S Lee… - 2024 - ascopubs.org
8536 Background: Immune checkpoint inhibitors (ICI) are an integral part of the treatment for
advanced or metastatic non-small cell lung cancer (NSCLC). Chest CT and pathology data …
advanced or metastatic non-small cell lung cancer (NSCLC). Chest CT and pathology data …
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study
Summary Background Only around 20–30% of patients with non-small-cell lung cancer
(NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based …
(NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based …
1394P Deep learning model to predict clinical outcomes in patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitors
A Elkrief, K Phan, L Di Jorio, R Simpson… - Annals of …, 2020 - annalsofoncology.org
Background Immune checkpoint inhibitors (ICI) represent a major change in non-small cell
lung cancer (NSCLC) treatment, however robust biomarkers are needed. Emerging data …
lung cancer (NSCLC) treatment, however robust biomarkers are needed. Emerging data …
[HTML][HTML] Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed …
Rationale: This study aimed to use computed tomography (CT) images to assess PD-L1
expression in non-small cell lung cancer (NSCLC) and predict response to immunotherapy …
expression in non-small cell lung cancer (NSCLC) and predict response to immunotherapy …
Predicting the efficacy of immune checkpoint inhibitors monotherapy in advanced non-small cell lung cancer: a machine learning method based on multidimensional …
N Liu, B Liang, L Lu, B Zhang, J Sun, J Yang, J Xu… - 2022 - researchsquare.com
Background Immunotherapy has improved the prognosis of patients with advanced non-
small cell lung cancer (NSCLC), but only a small subset of patients achieved clinical benefit …
small cell lung cancer (NSCLC), but only a small subset of patients achieved clinical benefit …
Deep learning-based predictive biomarker for immune checkpoint inhibitor response in metastatic non-small cell lung cancer.
S Park, CH Ahn, G Jung, S Lee, K Paeng, J Shin, I Yoo… - 2019 - ascopubs.org
9094 Background: In the era of immunotherapy, immune checkpoint inhibitor (ICI) has
changed the treatment paradigm in metastatic non-small cell lung cancer (NSCLC). Along …
changed the treatment paradigm in metastatic non-small cell lung cancer (NSCLC). Along …
[PDF][PDF] Predicting response to immune checkpoint inhibitors (ICI) in non-small-cell lung cancer (NSCLC) by combining spatial analysis of cells and RNA sequencing …
E Markovits, D Soong, B Arbiv, A Groisman… - … for ImmunoTherapy of …, 2022 - nucleai.ai
• Predictive features found in this work correlate with previously shown results 1, indicating
that lymphocytes infiltration had a better outcome and their prognostic value in various …
that lymphocytes infiltration had a better outcome and their prognostic value in various …
Deep learning signature from chest CT and association with immunotherapy outcomes in EGFR/ALK-negative NSCLC.
9061 Background: Many clinicopathological and molecular features are associate with
clinical benefit from immune checkpoint inhibitors (ICIs) for patients with non-small-cell lung …
clinical benefit from immune checkpoint inhibitors (ICIs) for patients with non-small-cell lung …
Unleashing deep features and radiomics to enhance best overall response prediction to immunotherapy in advanced non-small cell lung cancer.
G Urbanos, A Jiménez Pastor, J Lozano-Montoya… - 2024 - ascopubs.org
e20611 Background: Predicting immunotherapy response in advanced non-small cell lung
cancer (NSCLC) through non-invasive means could be a groundbreaking advancement …
cancer (NSCLC) through non-invasive means could be a groundbreaking advancement …
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