Impact of body composition, nutritional and inflammatory status on outcome of non-small cell lung cancer patients treated with immunotherapy

C Baldessari, G Guaitoli, F Valoriani, R Bonacini… - Clinical Nutrition …, 2021 - Elsevier
Background and aims Body composition and balance of nutritional and inflammatory status
are important for the immune system. Alterations of these aspects may impact on response …

Application of natural polysaccharides and their novel dosage forms in gynecological cancers: therapeutic implications from the diversity potential of natural …

Y Li, C Zhang, L Feng, Q Shen, F Liu, X Jiang… - Frontiers in …, 2023 - frontiersin.org
Cancer is one of the most lethal diseases. Globally, the number of cancers is nearly 10
million per year. Gynecological cancers (for instance, ovarian, cervical, and endometrial) …

[HTML][HTML] Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning

S Zheng, J Guo, JA Langendijk, S Both… - Radiotherapy and …, 2023 - Elsevier
Background and purpose The aim of this study was to develop and evaluate a prediction
model for 2-year overall survival (OS) in stage I-IIIA non-small cell lung cancer (NSCLC) …

CT radiomics-based long-term survival prediction for locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy using features …

NB Chen, M Xiong, R Zhou, Y Zhou, B Qiu, YF Luo… - Radiation …, 2022 - Springer
Background Definitive concurrent chemoradiotherapy (CCRT) is the standard treatment for
locally advanced non-small cell lung cancer (LANSCLC) patients, but the treatment …

Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of …

Y Cui, X Shi, S Wang, Y Qin, B Wang, X Che… - Frontiers in Public …, 2022 - frontiersin.org
Purpose Bone is one of the most common sites for the spread of malignant tumors. Patients
with bone metastases whose prognosis was shorter than 3 months (early death) were …

: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer

P Afshar, A Mohammadi, PN Tyrrell, P Cheung… - Scientific Reports, 2020 - nature.com
Hand-crafted radiomics has been used for developing models in order to predict time-to-
event clinical outcomes in patients with lung cancer. Hand-crafted features, however, are pre …

A combined predictive model based on radiomics features and clinical factors for disease progression in early-stage non-small cell lung cancer treated with …

H Yang, L Wang, G Shao, B Dong, F Wang… - Frontiers in …, 2022 - frontiersin.org
Purpose To accurately assess disease progression after Stereotactic Ablative Radiotherapy
(SABR) of early-stage Non-Small Cell Lung Cancer (NSCLC), a combined predictive model …

[HTML][HTML] Effect of comorbidity on outcomes of patients with advanced non-small cell lung cancer undergoing anti-PD1 immunotherapy

X Zeng, S Zhu, C Xu, Z Wang, X Su… - … Medical Journal of …, 2020 - ncbi.nlm.nih.gov
Background Comorbidities are reportedly related to the survival of patients with non-small
cell lung cancer (NSCLC). The purpose of this study was to explore the impact of …

[HTML][HTML] Prediction of distant metastases after stereotactic body radiation therapy for early stage NSCLC: Development and external validation of a multi-institutional …

SJ Gao, L Jin, HW Meadows, TD Shafman… - Journal of Thoracic …, 2023 - Elsevier
Abstract Introduction Distant metastases (DMs) are the primary driver of mortality for patients
with early stage NSCLC receiving stereotactic body radiation therapy (SBRT), yet patient …

Novel harmonization method for multi-centric radiomic studies in non-small cell lung cancer

M Bertolini, V Trojani, A Botti, N Cucurachi… - Current …, 2022 - mdpi.com
The purpose of this multi-centric work was to investigate the relationship between radiomic
features extracted from pre-treatment computed tomography (CT), positron emission …