[HTML][HTML] Radiomics in colorectal cancer patients

R Inchingolo, C Maino, R Cannella… - World Journal of …, 2023 - ncbi.nlm.nih.gov
The main therapeutic options for colorectal cancer are surgical resection and adjuvant
chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant …

Radiomics in oncological PET imaging: a systematic review—Part 2, Infradiaphragmatic cancers, Blood Malignancies, Melanoma and Musculoskeletal Cancers

D Morland, EKA Triumbari, L Boldrini, R Gatta… - Diagnostics, 2022 - mdpi.com
The objective of this review was to summarize published radiomics studies dealing with
infradiaphragmatic cancers, blood malignancies, melanoma, and musculoskeletal cancers …

The value of 18F-FDG PET/CT-based radiomics in predicting perineural invasion and outcome in non-metastatic colorectal cancer

J Ma, D Guo, W Miao, Y Wang, L Yan, F Wu… - Abdominal …, 2022 - Springer
Purpose Perineural invasion (PNI) has been recognized as an important prognosis factor in
patients with colorectal cancer (CRC). The purpose of this retrospective study was to …

Artificial Intelligence Applications on Restaging [18F]FDG PET/CT in Metastatic Colorectal Cancer: A Preliminary Report of Morpho-Functional Radiomics …

P Alongi, A Stefano, A Comelli, A Spataro, G Formica… - Applied Sciences, 2022 - mdpi.com
Featured Application Based on results defined in this study, new investigations might
propose morpho-functional-based radiomics algorithms for risk stratification with possible …

Clinical significance of peritumoral adipose tissue PET/CT imaging features for predicting axillary lymph node metastasis in patients with breast cancer

JW Lee, SY Kim, SW Han, JE Lee, SH Hong… - Journal of Personalized …, 2021 - mdpi.com
We investigated whether textural parameters of peritumoral breast adipose tissue (AT)
based on F-18 fluorodeoxyglucose (FDG) PET/CT could predict axillary lymph node …

[HTML][HTML] Prediction of microsatellite instability in colorectal cancer using a machine learning model based on PET/CT radiomics

S Kim, JH Lee, EJ Park, HS Lee, SH Baik… - Yonsei Medical …, 2023 - ncbi.nlm.nih.gov
Purpose We investigated the feasibility of preoperative 18 F-fluorodeoxyglucose (FDG)
positron emission tomography (PET)/computed tomography (CT) radiomics with machine …

Repeatability of radiomics studies in colorectal cancer: a systematic review

Y Liu, X Wei, X Feng, Y Liu, G Feng, Y Du - BMC gastroenterology, 2023 - Springer
Background Recently, radiomics has been widely used in colorectal cancer, but many
variable factors affect the repeatability of radiomics research. This review aims to analyze …

[HTML][HTML] The Role of Histogram-Based Textural Analysis of 18F-FDG PET/CT in Evaluating Tumor Heterogeneity and Predicting the Prognosis of Invasive Lung …

H Önner, N Coşkun, M Erol… - Molecular Imaging and …, 2022 - ncbi.nlm.nih.gov
Objectives: This study aimed to investigate the contributory role of histogram-based textural
features (HBTFs) extracted from 18 fluorinefluorodeoxyglucose (18 F-FDG) positron …

[HTML][HTML] Value of pre-treatment 18F-FDG PET/CT radiomics in predicting the prognosis of stage III-IV colorectal cancer

N Wang, M Dai, Y Zhao, Z Zhang, J Wang… - European Journal of …, 2023 - Elsevier
Background and purpose To investigate the value of radiomics features extracted from pre-
treatment 18 F-FDG PET/CT in predicting the outcomes of stage III-IV colorectal cancer …

Radiomics-based artificial intelligence (AI) models in colorectal cancer (CRC) diagnosis, metastasis detection, prognosis, and treatment response

P Karami, R Elahi - arXiv preprint arXiv:2406.12467, 2024 - arxiv.org
With a high rate of morbidity and mortality, colorectal cancer (CRC) ranks third in mortality
among cancers. By analyzing the texture properties of images and quantifying the …