[HTML][HTML] Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab

K Jazieh, M Khorrami, A Saad, M Gad… - … for Immunotherapy of …, 2022 - ncbi.nlm.nih.gov
Background The landmark study of durvalumab as consolidation therapy in NSCLC patients
(PACIFIC trial) demonstrated significantly longer progression-free survival (PFS) in patients …

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) …

A tumor vasculature–based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors

M Alilou, M Khorrami, P Prasanna, K Bera, A Gupta… - Science …, 2022 - science.org
Tumor vasculature is a key component of the tumor microenvironment that can influence
tumor behavior and therapeutic resistance. We present a new imaging biomarker …

A CT-based radiomics nomogram for predicting the progression-free survival in small cell lung cancer: a multicenter cohort study

X Zheng, K Liu, C Li, C Zhu, Y Gao, J Li, X Wu - La radiologia medica, 2023 - Springer
Purpose To develop a radiomics nomogram based on computed tomography (CT) to
estimate progression-free survival (PFS) in patients with small cell lung cancer (SCLC) and …

Progression-free survival prediction in small cell lung cancer based on Radiomics analysis of contrast-enhanced CT

N Chen, R Li, M Jiang, Y Guo, J Chen, D Sun… - Frontiers in …, 2022 - frontiersin.org
Purposes and Objectives The aim of this study was to predict the progression-free survival
(PFS) in patients with small cell lung cancer (SCLC) by radiomic signature from the contrast …

Dynamic radiomics for predicting the efficacy of antiangiogenic therapy in colorectal liver metastases

H Qu, H Zhai, S Zhang, W Chen, H Zhong… - Frontiers in …, 2023 - frontiersin.org
Background and objective For patients with advanced colorectal liver metastases (CRLMs)
receiving first-line anti-angiogenic therapy, an accurate, rapid and noninvasive indicator is …

Risk stratification and overall survival prediction in extensive stage small cell lung cancer after chemotherapy with immunotherapy based on CT radiomics

F Wang, W Chen, F Chen, J Lu, Y Xu, M Fang… - Scientific Reports, 2024 - nature.com
The prognosis of extensive-stage small cell lung cancer is usually poor. In this study, a
combined model based on pre-treatment CT radiomics and clinical features was constructed …

Delta radiomics model for the prediction of overall survival and local recurrence in small cell lung cancer patients after chemotherapy

Z Ding, C Zhang, Q Yao, Q Liu, L Lv, S Shi - Academic Radiology, 2024 - Elsevier
Rationale and Objectives To evaluate the validity of CT-based delta radiomics signatures in
predicting overall survival (OS) and local recurrence (LR) in small cell lung cancer (SCLC) …

Accurate prediction of metachronous liver metastasis in stage I-III colorectal cancer patients using deep learning with digital pathological images

C Xiao, M Zhou, X Yang, H Wang, Z Tang… - Frontiers in …, 2022 - frontiersin.org
Objectives Metachronous liver metastasis (LM) significantly impacts the prognosis of stage I-
III colorectal cancer (CRC) patients. An effective biomarker to predict LM after surgery is …

Precise prediction of the sensitivity of platinum chemotherapy in SCLC: establishing and verifying the feasibility of a CT-based radiomics nomogram

Y Su, C Lu, S Zheng, H Zou, L Shen, J Yu… - Frontiers in …, 2023 - frontiersin.org
Objectives To develop and validate a CT-based radiomics nomogram that can provide
individualized pretreatment prediction of the response to platinum treatment in small cell …