[HTML][HTML] A review of the role of MRI in diagnosis and treatment of early stage lung cancer

AJ Sim, E Kaza, L Singer, SA Rosenberg - Clinical and Translational …, 2020 - Elsevier
Despite magnetic resonance imaging (MRI) being a mainstay in the oncologic care for many
disease sites, it has not routinely been used in early lung cancer diagnosis, staging, and …

[HTML][HTML] From pixels to pathology: employing computer vision to decode chest diseases in medical images

M Arslan, A Haider, M Khurshid, SSUA Bakar, R Jani… - Cureus, 2023 - ncbi.nlm.nih.gov
Radiology has been a pioneer in the healthcare industry's digital transformation,
incorporating digital imaging systems like picture archiving and communication system …

18F-FDG PET/CT in non-small-cell lung cancer patients: a potential predictive biomarker of response to immunotherapy

L Evangelista, L Cuppari, J Menis… - Nuclear Medicine …, 2019 - journals.lww.com
Aim The aim of this study was to assess the predictive role of fluorine-18-fluorodeoxyglucose
(18 F-FDG) PET/computed tomography (CT) in the evaluation of response to immunotherapy …

Chitosan derived glycolipid nanoparticles for magnetic resonance imaging guided photodynamic therapy of cancer

X Zhao, R Shen, L Bao, C Wang, H Yuan - Carbohydrate polymers, 2020 - Elsevier
Currently, the development of polysaccharide, especially chitosan (CS), based drug delivery
system to afford magnetic resonance imaging (MRI) guided theranostic cancer therapy …

Library of deep-learning image segmentation and outcomes model-implementations

AP Apte, A Iyer, M Thor, R Pandya, R Haq, J Jiang… - Physica Medica, 2020 - Elsevier
An open-source library of implementations for deep-learning-based image segmentation
and outcomes models based on radiotherapy and radiomics is presented. As oncology …

[HTML][HTML] Quantitative dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer: A systematic comparison of different modelling approaches

MK Høiskar, O Sæther, MD Alsaker, KR Redalen… - Physics and Imaging in …, 2024 - Elsevier
Background and purpose Dynamic contrast-enhanced magnetic resonance imaging (DCE-
MRI) describes tissue microvasculature and has prognostic and predictive potential in …

[HTML][HTML] Feasibility of semiquantitative 18F-fluorodeoxyglucose PET/computed tomography in patients with advanced lung cancer for interim treatment evaluation of …

L Ke, L Wu, J Yu, X Meng - Nuclear Medicine Communications, 2021 - journals.lww.com
Objective This study aimed to investigate the prognosis value of 18F-fluorodeoxyglucose
PET/computed tomography (18 F-FDG PET/CT) in advanced lung cancer patients with …

Lung tumors

C Eze, C Kurz, C Belka - Advances in Magnetic Resonance Technology …, 2023 - Elsevier
The modern evolution in radiotherapy is highly dependent on the continuous introduction of
novel technologies that facilitate modulation of the tumor and normal tissue differential …

Comparison of lung lesion assessment using free-breathing dynamic contrast-enhanced 1.5-T MRI with a golden-angle radial stack-of-stars VIBE sequence and CT

J Chen, Q Tang, Y Song, X Tao, J Chen… - Acta …, 2024 - journals.sagepub.com
Background Few studies have investigated the feasibility of dynamic contrast-enhanced
magnetic resonance imaging (DCE-MRI) using a free-breathing golden-angle radial stack-of …

[PDF][PDF] Application of CT perfusion imaging in NSCLC and its correlation with angiogenesis and lymph node metastasis.

YS Chen, WH Lin, Y Lin - European Review for Medical & …, 2021 - europeanreview.org
OBJECTIVE: To investigate the application of computed tomography (CT) perfusion imaging
in non-small cell lung cancer (NSCLC) and its correlation with angiogenesis and lymph …