The utility of ctDNA in lung cancer clinical research and practice: a systematic review and meta-analysis of clinical studies
X Sun, P Abrahamson, N Ballew, L Kalilani… - Cancer …, 2023 - Taylor & Francis
This systematic review with embedded meta-analysis aimed to evaluate the clinical utility of
circulating tumor DNA (ctDNA) in lung cancer. After screening and review of the Embase …
circulating tumor DNA (ctDNA) in lung cancer. After screening and review of the Embase …
Non-invasive lung cancer diagnosis and prognosis based on multi-analyte liquid biopsy
K Chen, J Sun, H Zhao, R Jiang, J Zheng, Z Li, J Peng… - Molecular cancer, 2021 - Springer
Lung cancer (LC) is the leading cause of death in many countries including China. The
stage at which LC is diagnosed has a significant impact on prognosis. However, timely …
stage at which LC is diagnosed has a significant impact on prognosis. However, timely …
Radiogenomic analysis of locally advanced lung cancer based on CT imaging and intratreatment changes in cell-free DNA
The radiologic appearance of locally advanced lung cancer may be linked to molecular
changes of the disease during treatment, but characteristics of this phenomenon are poorly …
changes of the disease during treatment, but characteristics of this phenomenon are poorly …
Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers
Purpose This study investigated the prognostic potential of intra‐treatment PET radiomics
data in patients undergoing definitive (chemo) radiation therapy for oropharyngeal cancer …
data in patients undergoing definitive (chemo) radiation therapy for oropharyngeal cancer …
Longitudinal circulating tumor DNA profiling in metastatic colorectal cancer during anti-EGFR therapy
W Yang, J Zou, Y Li, R Liu, Z Yan, S Chen… - Frontiers in …, 2022 - frontiersin.org
Background Metastatic colorectal cancer (mCRC) is a heterogenous disease with limited
precision medicine and targeted therapy options. Monoclonal antibodies against epidermal …
precision medicine and targeted therapy options. Monoclonal antibodies against epidermal …
Photon counting CT and radiomic analysis enables differentiation of tumors based on lymphocyte burden
The purpose of this study was to investigate if radiomic analysis based on spectral micro-CT
with nanoparticle contrast-enhancement can differentiate tumors based on lymphocyte …
with nanoparticle contrast-enhancement can differentiate tumors based on lymphocyte …
Detectability of plasma-derived circulating tumor DNA panel in patients undergoing primary treatment for uveal melanoma
JH Francis, CA Barker, AR Brannon… - … & Visual Science, 2022 - iovs.arvojournals.org
Purpose: To investigate the presence of plasma circulating tumor DNA (ctDNA) in patients
with uveal melanoma during and after primary tumor treatment. Methods: Detectability and …
with uveal melanoma during and after primary tumor treatment. Methods: Detectability and …
Artificial intelligence across oncology specialties: current applications and emerging tools
Oncology is becoming increasingly personalised through advancements in precision in
diagnostics and therapeutics, with more and more data available on both ends to create …
diagnostics and therapeutics, with more and more data available on both ends to create …
Prognostic value of absolute quantification of mutated KRAS in circulating tumour DNA in lung adenocarcinoma patients prior to therapy
SGF Wahl, HY Dai, EF Emdal… - The Journal of …, 2021 - Wiley Online Library
Droplet digital polymerase chain reaction (ddPCR) is a highly sensitive and accurate
method for quantification of nucleic acid sequences. We used absolute quantification of …
method for quantification of nucleic acid sequences. We used absolute quantification of …
Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT
Y Wang, A Gupta, FI Tushar, B Riley, A Wang… - Artificial Intelligence in …, 2024 - Elsevier
In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index,
which integrates insights from subgroup analysis and personalized AI time-to-event models …
which integrates insights from subgroup analysis and personalized AI time-to-event models …