Radiomic and quantitative-semantic models of low-dose computed tomography for predicting the poorly differentiated invasive non-mucinous pulmonary …
Y Li, J Liu, X Yang, F Xu, L Wang, C He, L Lin… - La radiologia …, 2023 - Springer
Purpose Poorly differentiated invasive non-mucinous pulmonary adenocarcinoma (IPA),
based on the novel grading system, was related to poor prognosis, with a high risk of lymph …
based on the novel grading system, was related to poor prognosis, with a high risk of lymph …
An ordinal radiomic model to predict the differentiation grade of invasive non-mucinous pulmonary adenocarcinoma based on low-dose computed tomography in lung …
Y Li, J Liu, X Yang, A Wang, C Zang, L Wang, C He… - European …, 2023 - Springer
Objectives To construct a radiomic model of low-dose CT (LDCT) to predict the
differentiation grade of invasive non-mucinous pulmonary adenocarcinoma (IPA) and …
differentiation grade of invasive non-mucinous pulmonary adenocarcinoma (IPA) and …
[HTML][HTML] A nomogram based on CT intratumoral and peritumoral radiomics features preoperatively predicts poorly differentiated invasive pulmonary adenocarcinoma …
Z Yang, H Dong, C Fu, Z Zhang, Y Hong, K Shan… - Frontiers in …, 2024 - frontiersin.org
Background The novel International Association for the Study of Lung Cancer (IASLC)
grading system suggests that poorly differentiated invasive pulmonary adenocarcinoma …
grading system suggests that poorly differentiated invasive pulmonary adenocarcinoma …
[HTML][HTML] A CT-based radiomics nomogram combined with clinic-radiological characteristics for preoperative prediction of the novel IASLC grading of invasive …
Z Yang, Y Cai, Y Chen, Z Ai, F Chen, H Wang, Q Han… - Academic radiology, 2023 - Elsevier
Rationale and Objectives The novel International Association for the Study of Lung Cancer
(IASLC) grading system of invasive lung adenocarcinoma (ADC) demonstrated a …
(IASLC) grading system of invasive lung adenocarcinoma (ADC) demonstrated a …
A comparative study to evaluate CT-based semantic and radiomic features in preoperative diagnosis of invasive pulmonary adenocarcinomas manifesting as subsolid …
YJ Wu, YC Liu, CY Liao, EK Tang, FZ Wu - Scientific Reports, 2021 - nature.com
This study aims to predict the histological invasiveness of pulmonary adenocarcinoma
spectrum manifesting with subsolid nodules≦ 3 cm using the preoperative CT-based …
spectrum manifesting with subsolid nodules≦ 3 cm using the preoperative CT-based …
Non-contrast and contrast enhanced computed tomography radiomics in preoperative discrimination of lung invasive and non-invasive adenocarcinoma
Objective This study aimed to assess the value of radiomics based on non-contrast
computed tomography (NCCT) and contrast-enhanced computed tomography (CECT) …
computed tomography (NCCT) and contrast-enhanced computed tomography (CECT) …
[HTML][HTML] Application of computed tomography-based radiomics combined with clinical factors in the diagnosis of malignant degree of lung adenocarcinoma
L Shi, M Yang, J Yao, H Ni, H Shao… - Journal of Thoracic …, 2022 - ncbi.nlm.nih.gov
Background As an emerging technology, radiomics is being widely used in the diagnosis of
early lung cancer due to its excellent diagnostic performance. However, there is a lack of …
early lung cancer due to its excellent diagnostic performance. However, there is a lack of …
Enhancing Identification of High-Risk cN0 Lung Adenocarcinoma Patients Using MRI-Based Radiomic Features
H Kim, J Kim, S Hwang, YJ Oh, JH Ahn, MJ Kim… - Cancer Research and …, 2024 - e-crt.org
Purpose To develop an MRI-based radiomics model to predict high-risk pathologic features
for lung adenocarcinoma: micropapillary and solid pattern (MPsol), spread through air space …
for lung adenocarcinoma: micropapillary and solid pattern (MPsol), spread through air space …
[HTML][HTML] Radiomic features from computed tomography to differentiate invasive pulmonary adenocarcinomas from non-invasive pulmonary adenocarcinomas …
T Luo, K Xu, Z Zhang, L Zhang, S Wu - Chinese Journal of Cancer …, 2019 - ncbi.nlm.nih.gov
Objective We aim to investigate radiomic imaging features extracted in computed
tomography (CT) images to differentiate invasive pulmonary adenocarcinomas (IPAs) from …
tomography (CT) images to differentiate invasive pulmonary adenocarcinomas (IPAs) from …
Predicting pathological invasiveness of lung adenocarcinoma manifesting as GGO-predominant nodules: a combined prediction model generated from DECT
S Wang, G Liu, Z Fu, Z Jiang, J Qiu - Academic Radiology, 2021 - Elsevier
Rationale and Objectives To evaluate qualitative and quantitative indicators generated from
Dual-energy computed tomography (DECT) for preoperatively differentiating between …
Dual-energy computed tomography (DECT) for preoperatively differentiating between …