Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy

Article Radiology, Nuclear Medicine & Medical Imaging

Intratumoral and peritumoral radiomics nomograms for the preoperative prediction of lymphovascular invasion and overall survival in non-small cell lung cancer

Qiaoling Chen et al.

Summary: CT-based radiomics nomogram can predict LVI and OS in patients with NSCLC and may help in making personalized treatment strategies before surgery.

EUROPEAN RADIOLOGY (2023)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer

Yifan Zhong et al.

Summary: This study developed a deep learning signature for predicting N2 metastasis and prognosis stratification in clinical stage I non-small cell lung cancer. The proposed signature achieved high predictive efficacy and was associated with genetic mutations and tumor proliferation pathways. Higher deep learning scores were predictive of poorer overall survival and recurrence-free survival.

RADIOLOGY (2022)

添加到收藏夹

Article Oncology

Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk

Bing-Xi He et al.

Summary: In this study, a CT imaging-based score was developed to predict the efficacy of immune checkpoint inhibitor monotherapy in advanced NSCLC patients. The score successfully stratified patients into high- and low-risk groups and showed better prognostic capabilities than clinical characteristics. The score also outperformed the best immune response score in prognostic stratification.

TRANSLATIONAL LUNG CANCER RESEARCH (2022)

添加到收藏夹

Article Oncology

Predicting chemotherapy response in non-small-cell lung cancer via computed tomography radiomic features: Peritumoral, intratumoral, or combined?

Runsheng Chang et al.

Summary: This study evaluated the ability of computed tomography (CT) radiomic features to predict chemotherapy response in non-small cell lung cancer (NSCLC). The results showed that features from the peritumoral region performed better than features from the intratumoral region, and combined features from two peritumoral regions yielded the best predictions.

FRONTIERS IN ONCOLOGY (2022)

添加到收藏夹

Article Oncology

Cancer Statistics, 2021

Rebecca L. Siegel et al.

Summary: Every year, the American Cancer Society projects the numbers of new cancer cases and deaths in the United States, with the latest data showing a significant decline in lung cancer mortality, while prostate cancer mortality has plateaued and breast and colorectal cancer mortality have slowed. Improvements in treatment have accelerated progress against lung cancer, leading to a record drop in overall cancer mortality.

CA-A CANCER JOURNAL FOR CLINICIANS (2021)

添加到收藏夹

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)

添加到收藏夹

Review Respiratory System

Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: a narrative review

Jingwei Li et al.

Summary: AI, especially those based on deep learning and radiomics, has the potential to improve the accuracy and efficiency of clinical decision-making for lung cancer patients. However, challenges such as insufficient data and poor interpretability still need to be addressed before AI-based models can be widely implemented in clinical practice.

JOURNAL OF THORACIC DISEASE (2021)

添加到收藏夹

Article Medicine, General & Internal

Assessment of Clinicopathological Characteristics and Development of an Individualized Prognostic Model for Patients With Hepatoid Adenocarcinoma of the Stomach

Jian-Xian Lin et al.

Summary: This study found that perineural invasion, preoperative carcinoembryonic antigen levels of 5 ng/mL or greater, and pathological node category 3b were independently associated with worse overall survival among patients with hepatoid adenocarcinoma of the stomach. A nomogram based on these risk factors was developed to predict postoperative overall survival, showing good prognostic value and potentially serving as a supplement to the current tumor-node-metastasis staging system.

JAMA NETWORK OPEN (2021)

添加到收藏夹

Article Medicine, General & Internal

Epidemiologic Trends of and Factors Associated With Overall Survival for Patients With Gastroenteropancreatic Neuroendocrine Tumors in the United States

Zihan Xu et al.

Summary: The study analyzed epidemiologic and survival data of 43,751 patients with GEP-NETs from 1975 to 2015, finding a continuous increase in the incidence and prevalence of GEP-NETs, especially among patients with rectal GEP-NETs. Additionally, a nomogram with 5 prognostic parameters was established to accurately quantify the risk of death among patients with GEP-NETs, showing satisfactory clinical practicality.

JAMA NETWORK OPEN (2021)

添加到收藏夹

Article Medicine, Research & Experimental

Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images

Panwen Tian et al.

Summary: This study utilized a deep learning model to analyze CT images for assessing PD-L1 expression in NSCLC and predicting immunotherapy response. The results showed that PD-L1ES could predict high PD-L1 expression and was associated with clinical outcomes in patients. Combining PD-L1ES with a clinical model improved the prediction of immunotherapy response.

THERANOSTICS (2021)

添加到收藏夹

Review Oncology

Chemotherapy remains a cornerstone in the treatment of nonsmall cell lung cancer

Robert Pirker

CURRENT OPINION IN ONCOLOGY (2020)

添加到收藏夹

Review Oncology

Immune checkpoint inhibitors, alone or in combination with chemotherapy, as first-line treatment for advanced non-small cell lung cancer. A systematic review and network meta-analysis

Urania Dafni et al.

LUNG CANCER (2019)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomics: Data Are Also Images

Mathieu Hatt et al.

JOURNAL OF NUCLEAR MEDICINE (2019)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients

Lifeng Yang et al.

EUROPEAN RADIOLOGY (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma

Mohammadhadi Khorrami et al.

RADIOLOGY-ARTIFICIAL INTELLIGENCE (2019)

添加到收藏夹

Article Multidisciplinary Sciences

Radiomics analysis at PET/CT contributes to prognosis of recurrence and survival in lung cancer treated with stereotactic body radiotherapy

Anastasia Oikonomou et al.

SCIENTIFIC REPORTS (2018)

添加到收藏夹

Article Oncology

Construction of a nomogram predicting the overall survival of patients with distantly metastatic non-small-cell lung cancer

Jianqing Deng et al.

CANCER MANAGEMENT AND RESEARCH (2018)

添加到收藏夹

Article Oncology

Association of Delayed Adjuvant Chemotherapy With Survival After Lung Cancer Surgery

Michelle C. Salazar et al.

JAMA ONCOLOGY (2017)

添加到收藏夹

Article Oncology

Computational Radiomics System to Decode the Radiographic Phenotype

Joost J. M. van Griethuysen et al.

CANCER RESEARCH (2017)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

Philipp Kickingereder et al.

RADIOLOGY (2016)

添加到收藏夹

Review Oncology

Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome

James P. B. O'Connor et al.

CLINICAL CANCER RESEARCH (2015)

添加到收藏夹

Article Oncology

Impact of Extratumoral Lymphatic Permeation on Postoperative Survival of Non- Small-Cell Lung Cancer Patients

Yuki Matsumura et al.

JOURNAL OF THORACIC ONCOLOGY (2014)

添加到收藏夹

Review Oncology

Tumour heterogeneity and the evolution of polyclonal drug resistance

Rebecca A. Burrell et al.

MOLECULAR ONCOLOGY (2014)

添加到收藏夹

Article Oncology

Tumor Heterogeneity and Permeability as Measured on the CT Component of PET/CT Predict Survival in Patients with Non-Small Cell Lung Cancer

Thida Win et al.

CLINICAL CANCER RESEARCH (2013)

添加到收藏夹

Review Multidisciplinary Sciences

Influence of tumour micro-environment heterogeneity on therapeutic response

Melissa R. Junttila et al.

NATURE (2013)

添加到收藏夹

Review Biochemistry & Molecular Biology

Microenvironmental regulation of tumor progression and metastasis

Daniela F. Quail et al.

NATURE MEDICINE (2013)

添加到收藏夹

Article Oncology

Survival of patients treated surgically for synchronous single-organ metastatic NSCLC and advanced pathologic TN stage

Stephane Collaud et al.

LUNG CANCER (2012)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

3D Slicer as an image computing platform for the Quantitative Imaging Network

Andriy Fedorov et al.

MAGNETIC RESONANCE IMAGING (2012)

添加到收藏夹

Article Medicine, General & Internal

Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

Marco Gerlinger et al.

NEW ENGLAND JOURNAL OF MEDICINE (2012)

添加到收藏夹

Article Statistics & Probability

Regression shrinkage and selection via the lasso: a retrospective

Robert Tibshirani

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)

添加到收藏夹

Article Oncology

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

E. A. Eisenhauer et al.

EUROPEAN JOURNAL OF CANCER (2009)

添加到收藏夹

Article Oncology

Asian Ethnicity Is a Favorable Prognostic Factor for Overall Survival in Non-small Cell Lung Cancer (NSCLC) and Is Independent of Smoking Status

Sai-Hong Ignatius et al.

JOURNAL OF THORACIC ONCOLOGY (2009)

添加到收藏夹

Article Oncology

The impact of additional prognostic factors on survival and their relationship with the anatomical extent of disease expressed by the 6th edition of the TNM classification of malignant tumors and the proposals for the 7th edition

Jean-Paul Sculier et al.

JOURNAL OF THORACIC ONCOLOGY (2008)

添加到收藏夹

Article Oncology

The IASLC lung cancer staging project: Validation of the proposals for revision of the T, N, and M descriptors and consequent stage groupings in the forthcoming (seventh) edition of the TNM classification of malignant tumours

Patti A. Groome et al.

JOURNAL OF THORACIC ONCOLOGY (2007)

添加到收藏夹

Article Oncology

X-tile: A new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization

RL Camp et al.

CLINICAL CANCER RESEARCH (2004)

添加到收藏夹

Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy

相关参考文献

导出引文

分享论文