[HTML][HTML] Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases

G Rompianesi, F Pegoraro, CDL Ceresa… - World Journal of …, 2022 - ncbi.nlm.nih.gov
Colorectal cancer (CRC) is the third most common malignancy worldwide, with
approximately 50% of patients developing colorectal cancer liver metastasis (CRLM) during …

[HTML][HTML] Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology

J Shao, J Ma, Q Zhang, W Li, C Wang - Seminars in cancer biology, 2023 - Elsevier
Personalized treatment strategies for cancer frequently rely on the detection of genetic
alterations which are determined by molecular biology assays. Historically, these processes …

CT-based radiomics analysis to predict histopathological outcomes following liver resection in colorectal liver metastases

V Granata, R Fusco, SV Setola, F De Muzio… - Cancers, 2022 - mdpi.com
Simple Summary The objective of the study was to assess the radiomic features obtained by
computed tomography (CT) examination as prognostic biomarkers in patients with colorectal …

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 …

Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment

V Granata, R Fusco, F De Muzio, MC Brunese… - La radiologia …, 2023 - Springer
Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …

Delta-radiomics predicts response to first-line oxaliplatin-based chemotherapy in colorectal cancer patients with liver metastases

V Giannini, L Pusceddu, A Defeudis, G Nicoletti… - Cancers, 2022 - mdpi.com
Simple Summary Oxaliplatin-based chemotherapy remains the mainstay of first-line therapy
in patients with metastatic colorectal cancer (mCRC). Unfortunately, only approximately 60 …

[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 …

Machine learning approaches with textural features to calculate breast density on mammography

M Sansone, R Fusco, F Grassi, G Gatta, MP Belfiore… - Current …, 2023 - mdpi.com
Background: breast cancer (BC) is the world's most prevalent cancer in the female
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …

Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review

K Radiya, HL Joakimsen, KØ Mikalsen, EK Aahlin… - European …, 2023 - Springer
Objectives Machine learning (ML) for medical imaging is emerging for several organs and
image modalities. Our objectives were to provide clinicians with an overview of this field by …

Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma

MC Brunese, MR Fantozzi, R Fusco, F De Muzio… - Diagnostics, 2023 - mdpi.com
Background: This paper offers an assessment of radiomics tools in the evaluation of
intrahepatic cholangiocarcinoma. Methods: The PubMed database was searched for papers …