Computed tomography radiomics models of tumor differentiation in canine small intestinal tumors
Radiomics models have been widely exploited in oncology for the investigation of tumor classification, as well as for predicting tumor response to treatment and genomic sequence; however, their performance in veterinary gastrointestinal tumors remains unexplored. Here, we sought to investigate and c...
| Published in: | Frontiers in Veterinary Science |
|---|---|
| Main Authors: | Jeongyun Jeong, Hyunji Choi, Minjoo Kim, Sung-Soo Kim, Jinhyong Goh, Jeongyeon Hwang, Jaehwan Kim, Hwan-Ho Cho, Kidong Eom |
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-09-01
|
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fvets.2024.1450304/full |
Similar Items
Feasibility study of computed tomography texture analysis for evaluation of canine primary adrenal gland tumors
by: Kyungsoo Lee, et al.
Published: (2023-08-01)
by: Kyungsoo Lee, et al.
Published: (2023-08-01)
Molecular, Morphological and Clinical Characteristics of Spontaneous Canine Colorectal Cancer – A Review
by: Tancoš V., et al.
Published: (2023-03-01)
by: Tancoš V., et al.
Published: (2023-03-01)
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head
by: Geke Litjens, et al.
Published: (2023-10-01)
by: Geke Litjens, et al.
Published: (2023-10-01)
FAKTOR-FAKTOR PENENTU PRODUKTIFITAS KERJA PEGAWAI KANTOR SEKRETARIAT DAERAH KABUPATEN KARANGANYAR (PENDEKATAN LPM DAN MULTINOMIAL LOGISTIC MODEL)
by: Muhammad Wahyuddin, et al.
Published: (2006-06-01)
by: Muhammad Wahyuddin, et al.
Published: (2006-06-01)
Deep learning-based ultrasonographic classification of canine chronic kidney disease
by: Heejung Yu, et al.
Published: (2024-09-01)
by: Heejung Yu, et al.
Published: (2024-09-01)
Radiomics in differential diagnosis of pancreatic tumors
by: Riccardo De Robertis, et al.
Published: (2025-06-01)
by: Riccardo De Robertis, et al.
Published: (2025-06-01)
Determinants of market outlet choice by smallholder wheat producers in Arsi Zone of Oromia National Regional State, Ethiopia
by: Solomon Ketema, et al.
Published: (2023-12-01)
by: Solomon Ketema, et al.
Published: (2023-12-01)
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images
by: Shuyu Liu, et al.
Published: (2023-08-01)
by: Shuyu Liu, et al.
Published: (2023-08-01)
Predicting micropapillary or solid pattern of lung adenocarcinoma with CT-based radiomics, conventional radiographic and clinical features
by: Zhe Wang, et al.
Published: (2023-11-01)
by: Zhe Wang, et al.
Published: (2023-11-01)
Deep learning-enhanced radiomics for histologic classification and grade stratification of stage IA lung adenocarcinoma: a multicenter study
by: Guotian Pei, et al.
Published: (2023-07-01)
by: Guotian Pei, et al.
Published: (2023-07-01)
Development and validation of an interpretable radiomic signature for preoperative estimation of tumor mutational burden in lung adenocarcinoma
by: Yuwei Zhang, et al.
Published: (2024-04-01)
by: Yuwei Zhang, et al.
Published: (2024-04-01)
CT-based radiomics and deep learning to predict EGFR mutation status in lung adenocarcinoma
by: Xingzhi Jiang, et al.
Published: (2025-10-01)
by: Xingzhi Jiang, et al.
Published: (2025-10-01)
An overview of exiting contours for promoting different strategies for livelihood security in Sikkim Himalaya
by: Pawan Kumar, et al.
Published: (2021-01-01)
by: Pawan Kumar, et al.
Published: (2021-01-01)
Quantification of Canine Apocrine Gland Anal Sac Adenocarcinoma (AGASACA) Tumor Specimen Shrinkage after Formalin Fixation
by: Brandan G. Wustefeld-Janssens, et al.
Published: (2022-07-01)
by: Brandan G. Wustefeld-Janssens, et al.
Published: (2022-07-01)
Radiomic features and tumor immune microenvironment associated with anaplastic lymphoma kinase-rearranged lung adenocarcinoma and their prognostic value
by: Ying Han, et al.
Published: (2025-05-01)
by: Ying Han, et al.
Published: (2025-05-01)
Computed tomography radiomics of intratumoral and peritumoral microenvironments for identifying the invasiveness of subcentimeter lung adenocarcinomas
by: Yu-Qiang Zuo, et al.
Published: (2025-08-01)
by: Yu-Qiang Zuo, et al.
Published: (2025-08-01)
Investigating causes of informal market for fresh meat: the case of Tirana prefecture, Albania
by: Myslym Hasan OSMANI, et al.
Published: (2020-09-01)
by: Myslym Hasan OSMANI, et al.
Published: (2020-09-01)
CT delta-radiomics predicts the risks of blood transfusion and massive bleeding during spinal tumor surgery
by: Suwei Liu, et al.
Published: (2025-06-01)
by: Suwei Liu, et al.
Published: (2025-06-01)
Deep learning and radiomics fusion for predicting the invasiveness of lung adenocarcinoma within ground glass nodules
by: Qian Sun, et al.
Published: (2025-08-01)
by: Qian Sun, et al.
Published: (2025-08-01)
Case Series: Computed Tomography Features of Extraskeletal Osteosarcoma in Six Dogs
by: Jeongyun Jeong, et al.
Published: (2024-06-01)
by: Jeongyun Jeong, et al.
Published: (2024-06-01)
Machine learning method based on radiomics help differentiate posterior pituitary tumors from pituitary neuroendocrine tumors and craniopharyngioma
by: Yukun Liu, et al.
Published: (2025-06-01)
by: Yukun Liu, et al.
Published: (2025-06-01)
An Integrated Approach between Computing and Mathematical Modelling for Cattle Welfare in Grazing Systems
by: R. M. O. Santos, et al.
Published: (2021-10-01)
by: R. M. O. Santos, et al.
Published: (2021-10-01)
ANALYSIS OF THE IMPACT OF COVID IN THE SECOND YEAR ON INCOME OF WORKERS IN WEST JAVA WITH MULTINOMIAL LOGISTIC REGRESSION
by: Ani Andriyati, et al.
Published: (2022-03-01)
by: Ani Andriyati, et al.
Published: (2022-03-01)
Classification of Hypertension in Pregnant Women Using Multinomial Logistic Regression
by: Yuniar Farida, et al.
Published: (2023-10-01)
by: Yuniar Farida, et al.
Published: (2023-10-01)
Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma
by: Hongfan Liao, et al.
Published: (2023-12-01)
by: Hongfan Liao, et al.
Published: (2023-12-01)
The CT delta-radiomics based machine learning approach in evaluating multiple primary lung adenocarcinoma
by: Yanqing Ma, et al.
Published: (2022-09-01)
by: Yanqing Ma, et al.
Published: (2022-09-01)
Analyzing the contribution of crop diversification in improving household food security among wheat dominated rural households in Sinana District, Bale Zone, Ethiopia
by: Dereje Derso Mengistu, et al.
Published: (2021-02-01)
by: Dereje Derso Mengistu, et al.
Published: (2021-02-01)
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors
by: Subin Heo, et al.
Published: (2024-02-01)
by: Subin Heo, et al.
Published: (2024-02-01)
A study on the prediction of targeted therapy efficacy in advanced lung adenocarcinoma patients with EGFR mutations using CT-based delta-radiomics model
by: Zekai Wu, et al.
Published: (2025-05-01)
by: Zekai Wu, et al.
Published: (2025-05-01)
Clinical application of combined CT radiomics and clinical features in survival prediction for pancreatic ductal adenocarcinoma patients
by: LI Ke, et al.
Published: (2025-07-01)
by: LI Ke, et al.
Published: (2025-07-01)
Determining the status of tertiary lymphoid structures in invasive pulmonary adenocarcinoma based on chest CT radiomic features
by: Ye Yu, et al.
Published: (2025-01-01)
by: Ye Yu, et al.
Published: (2025-01-01)
Predicting the invasiveness of pulmonary adenocarcinoma using intratumoral and peritumoral radiomics features
by: Jingjing Hong, et al.
Published: (2025-05-01)
by: Jingjing Hong, et al.
Published: (2025-05-01)
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma
by: Hui Xie, et al.
Published: (2024-05-01)
by: Hui Xie, et al.
Published: (2024-05-01)
Radiomics Signature to Predict Prognosis in Early-Stage Lung Adenocarcinoma (≤3 cm) Patients with No Lymph Node Metastasis
by: Li Zhang, et al.
Published: (2022-08-01)
by: Li Zhang, et al.
Published: (2022-08-01)
Application of Radiomics in Predicting the Prognosis of Medulloblastoma in Children
by: Jiashu Chen, et al.
Published: (2025-03-01)
by: Jiashu Chen, et al.
Published: (2025-03-01)
Application value of CT radiomic nomogram in predicting T790M mutation of lung adenocarcinoma
by: Xiumei Li, et al.
Published: (2023-09-01)
by: Xiumei Li, et al.
Published: (2023-09-01)
Effect of Photodynamic Therapy with Chlorin e6 on Canine Tumors
by: Rajeev Shrestha, et al.
Published: (2022-12-01)
by: Rajeev Shrestha, et al.
Published: (2022-12-01)
Improvement of machine learning models for predicting high-grade subtypes of lung adenocarcinoma based on delta radiomics: A multicenter cohort study
by: Feiyang Zhong, et al.
Published: (2025-12-01)
by: Feiyang Zhong, et al.
Published: (2025-12-01)
Deep learning radiomics fusion model to predict visceral pleural invasion of clinical stage IA lung adenocarcinoma: a multicenter study
by: Jiabi Zhao, et al.
Published: (2025-05-01)
by: Jiabi Zhao, et al.
Published: (2025-05-01)
Delta Radiomics and Tumor Size: A New Predictive Radiomics Model for Chemotherapy Response in Liver Metastases from Breast and Colorectal Cancer
by: Nicolò Gennaro, et al.
Published: (2025-02-01)
by: Nicolò Gennaro, et al.
Published: (2025-02-01)
Similar Items
-
Feasibility study of computed tomography texture analysis for evaluation of canine primary adrenal gland tumors
by: Kyungsoo Lee, et al.
Published: (2023-08-01) -
Molecular, Morphological and Clinical Characteristics of Spontaneous Canine Colorectal Cancer – A Review
by: Tancoš V., et al.
Published: (2023-03-01) -
Computed Tomography-Based Radiomics Using Tumor and Vessel Features to Assess Resectability in Cancer of the Pancreatic Head
by: Geke Litjens, et al.
Published: (2023-10-01) -
FAKTOR-FAKTOR PENENTU PRODUKTIFITAS KERJA PEGAWAI KANTOR SEKRETARIAT DAERAH KABUPATEN KARANGANYAR (PENDEKATAN LPM DAN MULTINOMIAL LOGISTIC MODEL)
by: Muhammad Wahyuddin, et al.
Published: (2006-06-01) -
Deep learning-based ultrasonographic classification of canine chronic kidney disease
by: Heejung Yu, et al.
Published: (2024-09-01)
