The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study

AK Dia, L Ebrahimpour, S Yolchuyeva, M Tonneau… - Cancers, 2024 - mdpi.com
Simple Summary This study investigates the association between routine medical imaging
and digitalized scans in lung cancer patients treated with immunotherapy. It involves …

Imaging biomarkers to predict and evaluate the effectiveness of immunotherapy in advanced non-small-cell lung cancer

Y Liu, M Wu, Y Zhang, Y Luo, S He, Y Wang… - Frontiers in …, 2021 - frontiersin.org
Objective We aimed to identify imaging biomarkers to assess predictive capacity of
radiomics nomogram regarding treatment response status (responder/non-responder) in …

[HTML][HTML] P1. 01-041 quantitative imaging features predict response of immunotherapy in non-small cell lung cancer patients: Topic: Prognostic factors, treatment

I Tunali, J Gray, J Qi, M Abdullah… - Journal of Thoracic …, 2017 - jto.org
Background Although immunotherapy has revolutionized the field of cancer treatment,
response rates are only∼ 20% in non-small cell lung cancer (NSCLC) patients and cost of …

Deciphering the tumor microenvironment through radiomics in non-small cell lung cancer: Correlation with immune profiles

HJ Yoon, J Kang, H Park, I Sohn, SH Lee, HY Lee - PLoS One, 2020 - journals.plos.org
Growing evidence suggests that the efficacy of immunotherapy in non-small cell lung
cancers (NSCLCs) is associated with the immune microenvironment within the tumor. We …

CT-based radiomics signature to predict CD8+ tumor infiltrating lymphocytes in non-small-cell lung cancer

Y Chen, T Xu, C Jiang, S You, Z Cheng… - Acta …, 2023 - journals.sagepub.com
Background An abundance of CD8+ tumor infiltrating lymphocytes (TILs) in the center of
solid tumors is a reliable predictive biomarker for patients eligible for immunotherapy …

Preliminary report on computed tomography radiomics features as biomarkers to immunotherapy selection in lung adenocarcinoma patients

V Granata, R Fusco, M Costa, C Picone, D Cozzi… - Cancers, 2021 - mdpi.com
Simple Summary The objective of the study was to assess the radiomics features obtained
by computed tomography (CT) examination as biomarkers in order to select patients with …

Development of radiomic-based model to predict clinical outcomes in non-small cell lung cancer patients treated with immunotherapy

O Tankyevych, F Trousset, C Latappy, M Berraho… - Cancers, 2022 - mdpi.com
Simple Summary In locally advanced or metastatic non-small cell lung cancer (NSCLC),
immunotherapy has become a standard as it can improve overall survival and progression …

Development of an immune-pathology informed radiomics model for non-small cell lung cancer

C Tang, B Hobbs, A Amer, X Li, C Behrens… - Scientific reports, 2018 - nature.com
With increasing use of immunotherapy agents, pretreatment strategies for identifying
responders and non-responders is useful for appropriate treatment assignment. We …

A short-term follow-up CT based radiomics approach to predict response to immunotherapy in advanced non-small-cell lung cancer

J Gong, X Bao, T Wang, J Liu, W Peng, J Shi… - …, 2022 - Taylor & Francis
To develop a short-term follow-up CT-based radiomics approach to predict response to
immunotherapy in advanced non-small-cell lung cancer (NSCLC) and investigate the …

Role of radiomics in predicting immunotherapy response

G Kothari - Journal of Medical Imaging and Radiation Oncology, 2022 - Wiley Online Library
Immunotherapies have revolutionised cancer management. Despite their success, durable
responses are limited to a subset of patients. Prediction of immunotherapy response in …