Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer

H Qiu, S Ding, J Liu, L Wang, X Wang - Current Oncology, 2022 - mdpi.com
Colorectal cancer (CRC) is one of the most common cancers worldwide. Accurate early
detection and diagnosis, comprehensive assessment of treatment response, and precise …

Radiomics in oncology, part 1: technical principles and gastrointestinal application in CT and MRI

D Caruso, M Polici, M Zerunian, F Pucciarelli, G Guido… - Cancers, 2021 - mdpi.com
Simple Summary Part I is an overview aimed to investigate some technical principles and
the main fields of radiomic application in gastrointestinal oncologic imaging (CT and MRI) …

An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers

J Xi, D Sun, C Chang, S Zhou, Q Huang - Computers in Biology and …, 2023 - Elsevier
The radiogenomics analysis can provide the connections between genomics and radiomics,
which can infer the genomic features of tumors from their radiogenomic associations through …

A comprehensive review on radiomics and deep learning for nasopharyngeal carcinoma imaging

S Li, YQ Deng, ZL Zhu, HL Hua, ZZ Tao - Diagnostics, 2021 - mdpi.com
Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumours of the
head and neck, and improving the efficiency of its diagnosis and treatment strategies is an …

Artificial intelligence predictive models of response to cytotoxic chemotherapy alone or combined to targeted therapy for metastatic colorectal cancer patients: a …

V Russo, E Lallo, A Munnia, M Spedicato, L Messerini… - Cancers, 2022 - mdpi.com
Simple Summary Metastatic colorectal cancer (mCRC) has high incidence and mortality.
Nevertheless, innovative biomarkers have been developed for predicting the response to …

A radiogenomics biomarker based on immunological heterogeneity for non-invasive prognosis of renal clear cell carcinoma

J Gao, F Ye, F Han, H Jiang, J Zhang - Frontiers in Immunology, 2022 - frontiersin.org
Background Tumor immunological heterogeneity potentially influences the prognostic
disparities among patients with clear cell renal cell carcinoma (ccRCC); however, there is a …

Digital medical x-ray imaging, cad in lung cancer and radiomics in colorectal cancer: Past, present and future

J Porto-Álvarez, GT Barnes, A Villanueva… - Applied Sciences, 2023 - mdpi.com
Computed tomography (CT) introduced medicine to digital imaging. This occurred in the
early 1970s and it was the start of the digital medical imaging revolution. The resulting …

Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer

Q Wang, J Xu, A Wang, Y Chen, T Wang, D Chen… - La radiologia …, 2023 - Springer
This study aimed to systematically summarize the performance of the machine learning-
based radiomics models in the prediction of microsatellite instability (MSI) in patients with …

Radiogenomics: Contemporary Applications in the Management of Rectal Cancer

NJ O'Sullivan, HC Temperley, MT Horan, A Corr… - Cancers, 2023 - mdpi.com
Simple Summary Rectal tumour biological characteristics play an important role in
determining treatment regimen, predicting treatment response and predicting prognosis …

Multi-parameter MR radiomics based model to predict 5-year progression-free survival in endometrial cancer

D Liu, L Yang, D Du, T Zheng, L Liu, Z Wang… - Frontiers in …, 2022 - frontiersin.org
Background Relapse is the major cause of mortality in patients with resected endometrial
cancer (EC). There is an urgent need for a feasible method to identify patients with high risk …