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) …

CT and MRI of Gastrointestinal Stromal Tumours: New Trends and Perspectives

M Barat, A Pellat, A Dohan, C Hoeffel… - Canadian …, 2024 - journals.sagepub.com
Gastrointestinal stromal tumours (GISTs) are defined as mesenchymal tumours of the
gastrointestinal tract that express positivity for CD117, which is a c-KIT proto-oncogene …

Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation …

QW Zhang, YJ Gao, RY Zhang, XX Zhou… - Clinical and …, 2020 - Springer
Abstract Background and Aim To develop and validate radiomic prediction models using
contrast-enhanced computed tomography (CE-CT) to preoperatively predict Ki-67 …

Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging

K He, X Liu, M Li, X Li, H Yang, H Zhang - BMC medical imaging, 2020 - Springer
Abstract Background The detection of Kirsten rat sarcoma viral oncogene homolog (KRAS)
gene mutations in colorectal cancer (CRC) is key to the optimal design of individualized …

[HTML][HTML] Construction of a prognostic immune signature for lower grade glioma that can be recognized by MRI radiomics features to predict survival in LGG patients

Z Li, P Liu, T An, H Yang, W Zhang, J Wang - Translational Oncology, 2021 - Elsevier
Background This study aimed to identify a series of prognostically relevant immune features
by immunophenoscore. Immune features were explored using MRI radiomics features to …

Radiomics nomogram based on contrast-enhanced CT to predict the malignant potential of gastrointestinal stromal tumor: a two-center study

Y Song, J Li, H Wang, B Liu, C Yuan, H Liu, Z Zheng… - Academic …, 2022 - Elsevier
Rationale and Objectives Contrast-enhanced computed tomography (CE-CT) was used to
establish radiomics nomogram to evaluate the malignant potential of gastrointestinal stromal …

[HTML][HTML] New advances in radiomics of gastrointestinal stromal tumors

R Cannella, L La Grutta, M Midiri… - World Journal of …, 2020 - ncbi.nlm.nih.gov
Gastrointestinal stromal tumors (GISTs) are uncommon neoplasms of the gastrointestinal
tract with peculiar clinical, genetic, and imaging characteristics. Preoperative knowledge of …

Deep learning radio-clinical signatures for predicting neoadjuvant chemotherapy response and prognosis from pretreatment CT images of locally advanced gastric …

C Hu, W Chen, F Li, Y Zhang, P Yu… - … Journal of Surgery, 2023 - journals.lww.com
Background: Early noninvasive screening of patients who would benefit from neoadjuvant
chemotherapy (NCT) is essential for personalized treatment of locally advanced gastric …

[HTML][HTML] Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases

MA Berbís, J Aneiros-Fernández… - World Journal of …, 2021 - ncbi.nlm.nih.gov
The use of artificial intelligence-based tools is regarded as a promising approach to
increase clinical efficiency in diagnostic imaging, improve the interpretability of results, and …

CT and MRI of abdominal cancers: current trends and perspectives in the era of radiomics and artificial intelligence

M Barat, A Pellat, C Hoeffel, A Dohan, R Coriat… - Japanese journal of …, 2024 - Springer
Abdominal cancers continue to pose daily challenges to clinicians, radiologists and
researchers. These challenges are faced at each stage of abdominal cancer management …