[HTML][HTML] Radiomics and artificial intelligence for precision medicine in lung cancer treatment

M Chen, SJ Copley, P Viola, H Lu… - Seminars in cancer biology, 2023 - Elsevier
Lung cancer is the leading cause of cancer-related deaths worldwide. It exhibits, at the
mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human …

Radiomics for clinical decision support in radiation oncology

L Russo, CD Diepriye, S Bottazzi, E Sala, L Boldrini - Clinical Oncology, 2024 - Elsevier
Radiomics is a promising tool for the development of quantitative biomarkers to support
clinical decision-making. It has been shown to improve the prediction of response to …

Wavelet scattering networks in deep learning for discovering protein markers in a cohort of Swedish rectal cancer patients

TD Pham, XF Sun - Cancer Medicine, 2023 - Wiley Online Library
Background Cancer biomarkers play a pivotal role in the diagnosis, prognosis, and
treatment response prediction of the disease. In this study, we analyzed the expression …

[HTML][HTML] Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis

M Boubnovski Martell, K Linton-Reid… - NPJ Precision …, 2024 - nature.com
The rich chemical information from tissue metabolomics provides a powerful means to
elaborate tissue physiology or tumor characteristics at cellular and tumor microenvironment …

Assessing the reproducibility, stability, and biological interpretability of multimodal computed tomography image features for prognosis in advanced non‐small cell …

J Wang, G Dai, X Ren, R Shi, R Luo, J Liu… - …, 2024 - Wiley Online Library
Background Despite the existence of proposed prognostic features on computed
tomography (CT) for patients with advanced‐stage non‐small cell lung cancer (NSCLC) …

影像组学在非小细胞肺癌疗效预测中应用进展

刘宇婷, 赵磊, 刘挨师 - 分子影像学杂志, 2024 - j-fzyx.com
肺癌根据组织病理学特征分为不同类型, 其中80%~ 85% 为非小细胞肺癌,
目前早期非小细胞肺癌的治疗手段以手术切除, 放射治疗辅助为主, 晚期以化学治疗联合免疫 …

Radiogenomics models for predicting prognosis in locally advanced non-small cell lung cancer patients undergoing definitive chemoradiotherapy

X Song, L Li, S Yuan - International Journal of Radiation Oncology …, 2024 - redjournal.org
Purpose/Objective (s) The study aimed to construct a multi-omics model integrating baseline
clinical data, computed tomography (CT) images and genetic information to predict the …

Quantitative neuroimaging with handcrafted and deep radiomics in neurological diseases

EA Lavrova - 2024 - cris.maastrichtuniversity.nl
Neurological diseases pose a significant global health challenge, being a leading cause of
disability and the second leading cause of death. These diseases encompass diverse …

A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC

Y Ai, Y Li, RK Jain, YW Chen - 2023 IEEE 12th Global …, 2023 - ieeexplore.ieee.org
Non-small cell lung cancer (NSCLC) is a prevalent malignant tumor with high mortality and
recurrence rates. Accurate prediction of early recurrence is crucial for guiding early-stage …