☆ 4.6 Article

The Association of Gross Tumor Volume and Its Radiomics Features with Brain Metastases Development in Patients with Radically Treated Stage III Non-Small Cell Lung Cancer

CANCERS (2023)

Related references

Note: Only part of the references are listed.

Article Oncology

Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors

Fariba Tohidinezhad et al.

Summary: This study aimed to develop a prediction model to differentiate immunotherapy-induced pneumonitis (IIP) from other types of pneumonitis (OTP) in non-small cell lung cancer patients. The radiomic biomarkers applied to computed tomography imaging can assist clinicians in making a diagnosis when the radiological assessment is inconclusive.

EUROPEAN JOURNAL OF CANCER (2023)

Add to Collection

Article Oncology

Radiomics and Dosiomics Signature From Whole Lung Predicts Radiation Pneumonitis: A Model Development Study With Prospective External Validation and Decision-curve Analysis

Zhen Zhang et al.

Summary: This study demonstrates the potential of radiomics, dosiomics, and clinical features for predicting radiation pneumonitis. The best model integrates radiomic risk score, dosiomic risk score, and clinical parameters to achieve the highest predictive power.

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2023)

Add to Collection

Article Oncology

Five-Year Survival Outcomes From the PACIFIC Trial: Durvalumab After Chemoradiotherapy in Stage III Non-Small-Cell Lung Cancer

David R. Spigel et al.

Summary: The study examined the efficacy of consolidation durvalumab in patients with non-small-cell lung cancer, showing significant improvements in overall survival and progression-free survival, with manageable safety. The 5-year follow-up data continued to demonstrate the positive effects of durvalumab on survival and disease progression.

JOURNAL OF CLINICAL ONCOLOGY (2022)

Add to Collection

Article Genetics & Heredity

Pretreatment Thoracic CT Radiomic Features to Predict Brain Metastases in Patients With ALK-Rearranged Non-Small Cell Lung Cancer

Hua Wang et al.

Summary: This study aimed to identify CT imaging biomarkers based on radiomic features for predicting brain metastases (BM) in patients with ALK-rearranged non-small cell lung cancer (NSCLC). The results showed that radiomic features extracted from pretreatment thoracic CT images can serve as independent predictors of BM and combining them with clinical features improves the accuracy of prediction. The individualized BM-predicting model can be visualized by the nomogram.

FRONTIERS IN GENETICS (2022)

Add to Collection

Article Multidisciplinary Sciences

Peritumoral radiomics features on preoperative thin-slice CT images can predict the spread through air spaces of lung adenocarcinoma

Keiichi Takehana et al.

Summary: The present study developed a machine learning model to predict STAS using peritumoral radiomics features extracted from preoperative CT imaging. The results showed that the machine learning model based on radiomics features performed better than the conventional C/T ratio model in predicting STAS.

SCIENTIFIC REPORTS (2022)

Add to Collection

Review Oncology

Risk Factors for Brain Metastases in Patients With Small Cell Lung Cancer: A Systematic Review and Meta-Analysis

Haiyan Zeng et al.

Summary: This study aimed to identify the risk factors for brain metastasis (BM) in small cell lung cancer (SCLC) patients. Through systematic search and meta-analysis, it was found that younger age, higher T stage, and extensive disease (ED) were risk factors for BM. Prophylactic cranial irradiation (PCI) significantly reduced BM occurrence but did not improve overall survival (OS). More individual patient data and well-designed clinical trials are needed to confirm these findings.

FRONTIERS IN ONCOLOGY (2022)

Add to Collection

Article Oncology

Investigation of the added value of CT-based radiomics in predicting the development of brain metastases in patients with radically treated stage III NSCLC

Simon A. Keek et al.

Summary: This study aims to develop a model combining clinical risk factors with radiomics features to predict brain metastases (BM) in patients with stage III non-small-cell lung cancer (NSCLC) who have undergone radical treatment. The results showed that the clinical model had the highest predictive performance, outperforming the radiomics model or a combination of clinical parameters and radiomics.

THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY (2022)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer

Fenghao Sun et al.

Summary: A prediction model based on radiomics features and clinical characteristics was developed to accurately predict brain metastasis-free survival in patients with curatively resected locally advanced non-small cell lung cancer. The integrated nomogram showed significantly improved predictive performance compared to clinical or radiomics nomograms, making it most suitable for predicting brain metastasis-free survival in this patient population.

EUROPEAN JOURNAL OF RADIOLOGY (2021)

Add to Collection

Article Oncology

MRI radiomic signature predicts intracranial progression-free survival in patients with brain metastases of ALK-positive non-small cell lung cancer

Shijun Zhao et al.

Summary: A radiomic signature based on MRI was developed to predict survival and intracranial progression in ALK-positive NSCLC patients. The predictive model showed high accuracy, with significant differences in progression-free survival between high- and low-risk groups distinguished by Rad-score, indicating potential for individualized risk assessment and treatment tailoring.

TRANSLATIONAL LUNG CANCER RESEARCH (2021)

Add to Collection

Article Oncology

Progression-Free and Overall Survival for Concurrent Nivolumab With Standard Concurrent Chemoradiotherapy in Locally Advanced Stage IIIA-B NSCLC: Results From the European Thoracic Oncology Platform NICOLAS Phase II Trial (European Thoracic Oncology Platform 6-14)

Solange Peters et al.

Summary: The NICOLAS study evaluated the safety and efficacy of adding nivolumab to standard definitive concurrent chemoradiotherapy in stage III NSCLC patients. The 1-year progression-free survival rate was 53.7% and the median overall survival was 38.8 months. Patients with stage IIIA disease had a significantly higher survival rate compared to those with stage IIIB disease.

JOURNAL OF THORACIC ONCOLOGY (2021)

Add to Collection

Article Oncology

Computer Tomography Radiomics-Based Nomogram in the Survival Prediction for Brain Metastases From Non-Small Cell Lung Cancer Underwent Whole Brain Radiotherapy

Ji Zhang et al.

Summary: This study developed a radiomics nomogram to predict the survival of brain metastasis patients from non-small cell lung cancer who underwent whole brain radiotherapy, based on CT images and clinical factors. The nomogram showed good performance in predicting short-term and long-term survival, with high concordance index and area under curve.

FRONTIERS IN ONCOLOGY (2021)

Add to Collection

Article Health Care Sciences & Services

Risk factors for brain metastases in patients with non-small cell lung cancer: a meta-analysis of 43 studies

Shanshan Chen et al.

Summary: This meta-analysis of 43 studies involving 11,415 participants found that female gender, adenocarcinoma or non-squamous cell carcinoma, advanced tumor stage, lymphatic metastasis, EGFR gene mutation, KRAS gene mutation, and elevated levels of various biomarkers were significantly associated with an increased risk of brain metastases in patients with NSCLC.

ANNALS OF PALLIATIVE MEDICINE (2021)

Add to Collection

Article Oncology

Deciphering the glioblastoma phenotype by computed tomography radiomics

Inge Compter et al.

Summary: This study evaluated the prognostic value of CT radiomics for overall survival in patients with glioblastoma. Comparing different models, it was found that discrimination between low-, middle- and high-risk patients based on the combined clinical and radiomics model was comparable to previous MRI-based models.

RADIOTHERAPY AND ONCOLOGY (2021)

Add to Collection

Review Oncology

Prognostic factors for overall survival of stage III non-small cell lung cancer patients on computed tomography: A systematic review and meta-analysis

Myra van Laar et al.

RADIOTHERAPY AND ONCOLOGY (2020)

Add to Collection

Article Multidisciplinary Sciences

Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening

Jaileene Pérez-Morales et al.

Scientific Reports (2020)

Add to Collection

Article Oncology

Developing and validating an integrated gross tumor volume (GTV)-TNM stratification system for supplementing unresectable locally advanced non-small cell lung cancer treated with concurrent chemoradiotherapy

Nai-Bin Chen et al.

RADIATION ONCOLOGY (2020)

Add to Collection

Article Oncology

Prophylactic Cranial Irradiation for Limited-Stage Small-Cell Lung Cancer Patients: Secondary Findings From the Prospective Randomized Phase 3 CONVERT Trial

Antonin Levy et al.

JOURNAL OF THORACIC ONCOLOGY (2019)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

CT-Based Radiomics Model for Predicting Brain Metastasis in Category T1 Lung Adenocarcinoma

Aiping Chen et al.

AMERICAN JOURNAL OF ROENTGENOLOGY (2019)

Add to Collection

Article Oncology

An investigative expansion of a competing risk model for first failure site in locally advanced non-small cell lung cancer

Thomas Lacoppidan et al.

ACTA ONCOLOGICA (2019)

Add to Collection

Article Respiratory System

Application of radiomics signature captured from pretreatment thoracic CT to predict brain metastases in stage III/IV ALK-positive non-small cell lung cancer patients

Xinyan Xu et al.

JOURNAL OF THORACIC DISEASE (2019)

Add to Collection

Article Oncology

The acute and late toxicity results of a randomized phase II dose-escalation trial in non-small cell lung cancer (PET-boost trial)

Judi van Diessen et al.

RADIOTHERAPY AND ONCOLOGY (2019)

Add to Collection

Review Oncology

Risk factors for brain metastases in patients with non-small-cell lung cancer

Ning An et al.

CANCER MEDICINE (2018)

Add to Collection

Article Medicine, General & Internal

Durvalumab after Chemoradiotherapy in Stage III Non-Small-Cell Lung Cancer

S. J. Antonia et al.

NEW ENGLAND JOURNAL OF MEDICINE (2017)

Add to Collection

Article Surgery

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement

G. S. Collins et al.

BRITISH JOURNAL OF SURGERY (2015)

Add to Collection

Article Oncology

A Systematic Review of Risk Factors for Brain Metastases and Value of Prophylactic Cranial Irradiation in Non-Small Cell Lung Cancer

Dian-Shui Sun et al.

ASIAN PACIFIC JOURNAL OF CANCER PREVENTION (2014)

Add to Collection

Article Oncology

Risk Factors for Brain Metastases in Locally Advanced Non-Small Cell Lung Cancer With Definitive Chest Radiation

Zhe Ji et al.

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2014)

Add to Collection

Article Oncology

GTV differentially impacts locoregional control of non-small cell lung cancer (NSCLC) after different fractionation schedules: Subgroup analysis of the prospective randomized CHARTWEL trial

Maher Soliman et al.

RADIOTHERAPY AND ONCOLOGY (2013)

Add to Collection

Article Oncology

DEVELOPMENT AND VALIDATION OF A PROGNOSTIC MODEL USING BLOOD BIOMARKER INFORMATION FOR PREDICTION OF SURVIVAL OF NON SMALL-CELL LUNG CANCER PATIENTS TREATED WITH COMBINED CHEMOTHERAPY AND RADIATION OR RADIOTHERAPY ALONE (NCT00181519, NCT00573040, AND NCT00572325)

Cary Dehing-Oberije et al.

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2011)

Add to Collection

Article Oncology

DEVELOPMENT AND EXTERNAL VALIDATION OF PROGNOSTIC MODEL FOR 2-YEAR SURVIVAL OF NON-SMALL-CELL LUNG CANCER PATIENTS TREATED WITH CHEMORADIOTHERAPY

Cary Dehing-Oberije et al.

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2009)

Add to Collection

Article Oncology

The IASLC lung cancer staging project: Proposals for the revision of he TNM stage groupings in the forthcoming (seventh) edition of the TNM classification of malignant tumours

Peter Goldstraw et al.

JOURNAL OF THORACIC ONCOLOGY (2007)

Add to Collection

Review Medicine, General & Internal

Understanding sensitivity and specificity with the right side of the brain

TW Loong

BMJ-BRITISH MEDICAL JOURNAL (2003)

Add to Collection

© Peeref 2019-2024. All rights reserved.