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Margin assessment in soft tissue sarcomas: review of the literature
A Sambri, E Caldari, M Fiore, R Zucchini, C Giannini… - Cancers, 2021 - mdpi.com
Simple Summary Many classifications to assess margins status for soft tissue sarcomas are
reported in the literature. Most of the series are heterogeneous and variable in size, making …
reported in the literature. Most of the series are heterogeneous and variable in size, making …
[HTML][HTML] Radiomics in early lung cancer diagnosis: from diagnosis to clinical decision support and education
YJ Wu, FZ Wu, SC Yang, EK Tang, CH Liang - Diagnostics, 2022 - mdpi.com
Lung cancer is the most frequent cause of cancer-related death around the world. With the
recent introduction of low-dose lung computed tomography for lung cancer screening, there …
recent introduction of low-dose lung computed tomography for lung cancer screening, there …
Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans
Deep learning (DL) is a breakthrough technology for medical imaging with high sample size
requirements and interpretability issues. Using a pretrained DL model through a radiomics …
requirements and interpretability issues. Using a pretrained DL model through a radiomics …
Tumor microenvironment, radiology, and artificial intelligence: should we consider tumor periphery?
A Mohammadi… - … of Ultrasound in …, 2022 - Wiley Online Library
Objectives The tumor microenvironment (TME) consists of cellular and noncellular
components which enable the tumor to interact with its surroundings and plays an important …
components which enable the tumor to interact with its surroundings and plays an important …
Deciphering the tumor microenvironment through radiomics in non-small cell lung cancer: Correlation with immune profiles
Growing evidence suggests that the efficacy of immunotherapy in non-small cell lung
cancers (NSCLCs) is associated with the immune microenvironment within the tumor. We …
cancers (NSCLCs) is associated with the immune microenvironment within the tumor. We …
A computerized tomography-based radiomic model for assessing the invasiveness of lung adenocarcinoma manifesting as ground-glass opacity nodules
M Zhu, Z Yang, M Wang, W Zhao, Q Zhu, W Shi… - Respiratory …, 2022 - Springer
Background Clinically differentiating preinvasive lesions (atypical adenomatous
hyperplasia, AAH and adenocarcinoma in situ, AIS) from invasive lesions (minimally …
hyperplasia, AAH and adenocarcinoma in situ, AIS) from invasive lesions (minimally …
Tumor-infiltrating lymphocyte enrichment predicted by CT radiomics analysis is associated with clinical outcomes of non-small cell lung cancer patients receiving …
Background Enrichment of tumor-infiltrating lymphocytes (TIL) in the tumor
microenvironment (TME) is a reliable biomarker of immune checkpoint inhibitors (ICI) in non …
microenvironment (TME) is a reliable biomarker of immune checkpoint inhibitors (ICI) in non …
An integrated nomogram combined semantic-radiomic features to predict invasive pulmonary adenocarcinomas in subjects with persistent subsolid nodules
FZ Wu, YJ Wu, EK Tang - Quantitative Imaging in Medicine …, 2022 - pmc.ncbi.nlm.nih.gov
Background Patients with persistent pulmonary subsolid nodules have a relatively high
incidence of lung adenocarcinoma. Preoperative early diagnosis of invasive pulmonary …
incidence of lung adenocarcinoma. Preoperative early diagnosis of invasive pulmonary …
Prediction of tumor doubling time of lung adenocarcinoma using radiomic margin characteristics
Background Because shape or irregularity along the tumor perimeter can result from
interactions between the tumor and the surrounding parenchyma, there could be a …
interactions between the tumor and the surrounding parenchyma, there could be a …
Machine learning in lung cancer radiomics
J Li, Z Li, L Wei, X Zhang - Machine Intelligence Research, 2023 - Springer
Lung cancer is the leading cause of cancer-related deaths worldwide. Medical imaging
technologies such as computed tomography (CT) and positron emission tomography (PET) …
technologies such as computed tomography (CT) and positron emission tomography (PET) …