Development and Validation of a Radiomics Nomogram Using Computed Tomography for Differentiating Immune Checkpoint Inhibitor-Related Pneumonitis From Radiation Pneumonitis for Patients With Non-Small Cell Lung Cancer

Article Radiology, Nuclear Medicine & Medical Imaging

Differentiation between immune checkpoint inhibitor-related and radiation pneumonitis in lung cancer by CT radiomics and machine learning

Jun Cheng et al.

Summary: This study successfully differentiated between CIP and RP in lung cancer patients using a CT radiomics approach, which has important clinical implications.

MEDICAL PHYSICS (2022)

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Article Oncology

Exploring Response to Immunotherapy in Non-Small Cell Lung Cancer Using Delta-Radiomics

Emanuele Barabino et al.

Summary: The study aims to identify radiomic features that can predict the response to immunotherapy. By analyzing the lesions of patients with advanced non-small cell lung cancer, the study explores the features that predict the response to immune checkpoint inhibitors. The finding shows that 27 features can accurately distinguish the radiologic response to immune checkpoint inhibitors.

CANCERS (2022)

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Article Multidisciplinary Sciences

Continuous monitoring of neutrophils to lymphocytes ratio for estimating the onset, severity, and subsequent prognosis of immune related adverse events

Ryosuke Matsukane et al.

Summary: NLR serves as a potential biomarker for monitoring irAEs in ICI treatment, showing promise in predicting the onset of severe irAEs like pneumonitis. Continuous monitoring of NLR trends can aid in predicting the severity of irAEs and subsequent patient outcomes.

SCIENTIFIC REPORTS (2021)

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Article Oncology

Non-Small Cell Lung Cancer, Version 2.2021 Featured Updates to the NCCN Guidelines

David S. Ettinger et al.

Summary: The NCCN Guidelines for NSCLC cover all aspects of management, with recent updates focusing on targeted therapies, immunotherapies, and their respective biomarkers.

JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK (2021)

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Review Immunology

Crossed Pathways for Radiation-Induced and Immunotherapy-Related Lung Injury

Zengfu Zhang et al.

Summary: Radiation-induced lung injury (RILI) and immunotherapy-related lung injury (IRLI) are two common complications in cancer treatment, with potential downstream pathway of pyroptosis identified as a crucial signaling pathway in lung injury treatment. More research is needed to fully understand the underlying mechanisms and signaling pathways of these complications to explore potential therapeutic targets and avenues for further research.

FRONTIERS IN IMMUNOLOGY (2021)

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Article Oncology

Development and validation a radiomics nomogram for diagnosing occult brain metastases in patients with stage IV lung adenocarcinoma

Ping Cong et al.

Summary: A radiomics model was developed to estimate occult brain metastases in patients with stage IV lung adenocarcinoma. The model demonstrated significant correlations and optimal performance in diagnosing occult BM, showing high agreement between actual probability and predictions.

TRANSLATIONAL CANCER RESEARCH (2021)

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Article Oncology

Radiation Versus Immune Checkpoint Inhibitor Associated Pneumonitis: Distinct Radiologic Morphologies

Xuguang Chen et al.

Summary: Patients with non-small cell lung cancer who develop pneumonitis after thoracic radiotherapy and immune checkpoint inhibitors may exhibit distinct spatial features on CT scans, with bilateral and multifocal lung involvement associated with severe pneumonitis. This information can aid clinicians in distinguishing different etiologies of pneumonitis and guiding treatment decisions.

ONCOLOGIST (2021)

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Article Multidisciplinary Sciences

Diagnostic classification of coronavirus disease 2019 (COVID-19) and other pneumonias using radiomics features in CT chest images

Ning Yang et al.

Summary: A classification method using radiomics features of CT chest images was proposed to distinguish COVID-19 patients from other pneumonias. The SVM model based on radiomics features achieved a high accuracy in identifying and diagnosing COVID-19 patients and other pneumonias. The correlation analysis revealed the relationship between textural features and blood test indexes, providing valuable insights for diagnosis.

SCIENTIFIC REPORTS (2021)

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Article Multidisciplinary Sciences

Prediction of radiation pneumonitis after definitive radiotherapy for locally advanced non-small cell lung cancer using multi-region radiomics analysis

Daisuke Kawahara et al.

Summary: The study used multi-region radiomics analysis to predict grade >= 2 RP in NSCLC patients, improving prediction accuracy through feature extraction and classification.

SCIENTIFIC REPORTS (2021)

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Article Oncology

Peripheral Blood Biomarkers for Early Diagnosis, Severity, and Prognosis of Checkpoint Inhibitor-Related Pneumonitis in Patients With Lung Cancer

Xinqing Lin et al.

Summary: This study found that increases in IL-6, IL-10, NLR, PLR, and LDH levels or decreases in ALC and ALB levels were associated with the development of CIP in lung cancer patients. High IL-6 and low ALB levels at the onset of CIP were related to the severity and poor prognosis of CIP.

FRONTIERS IN ONCOLOGY (2021)

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Article Oncology

Radiomics Study for Predicting the Expression of PD-L1 and Tumor Mutation Burden in Non-Small Cell Lung Cancer Based on CT Images and Clinicopathological Features

Qiang Wen et al.

Summary: In patients with advanced-stage lung cancer, radiomics features extracted from pretreatment CT images were found to effectively predict PD-L1 expression level and TMB status. Predictive models combining radiomics features with clinical and morphological factors significantly improved the predictive efficacy and provided valuable guidance for immunotherapy in clinical practice.

FRONTIERS IN ONCOLOGY (2021)

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Review Biochemistry & Molecular Biology

Promising Biomarkers of Radiation-Induced Lung Injury: A Review

Xinglong Liu et al.

Summary: RILI is a major dose-limiting side effect in thoracic cancer patients during radiotherapy, with no reliable predictors or accurate risk models currently available. Early diagnosis is crucial to overcome this issue, and the development of integrated models and further prospective research are encouraged.

BIOMEDICINES (2021)

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Article Cell Biology