Detalhe da pesquisa
1.
Multiparametric MRI-based radiomics signature for preoperative estimation of tumor-stroma ratio in rectal cancer.
Eur Radiol
; 31(5): 3326-3335, 2021 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-33180166
2.
A clinical-radiomics nomogram for the preoperative prediction of lung metastasis in colorectal cancer patients with indeterminate pulmonary nodules.
Eur Radiol
; 29(1): 439-449, 2019 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-29948074
3.
Prognostic prediction value of the clinical-radiomics tumour-stroma ratio in locally advanced rectal cancer.
Eur J Radiol
; 170: 111254, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-38091662
4.
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.
Cancer Imaging
; 24(1): 1, 2024 Jan 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-38167564
5.
Magnetic resonance imaging-based radiomics analysis for prediction of treatment response to neoadjuvant chemoradiotherapy and clinical outcome in patients with locally advanced rectal cancer: A large multicentric and validated study.
MedComm (2020)
; 5(7): e609, 2024 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-38911065
6.
Radiomics for predicting survival in patients with locally advanced rectal cancer: a systematic review and meta-analysis.
Quant Imaging Med Surg
; 13(12): 8395-8412, 2023 Dec 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-38106286
7.
Concurrent Dual-Contrast Enhancement Using Fe3O4 Nanoparticles to Achieve a CEST Signal Controllability.
ACS Omega
; 8(27): 24153-24164, 2023 Jul 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-37457473
8.
Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients.
J Hematol Oncol
; 15(1): 11, 2022 01 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-35073937
9.
Deep Learning-Based Stage-Wise Risk Stratification for Early Lung Adenocarcinoma in CT Images: A Multi-Center Study.
Cancers (Basel)
; 13(13)2021 Jun 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-34209366
10.
MR texture analysis: potential imaging biomarker for predicting the chemotherapeutic response of patients with colorectal liver metastases.
Abdom Radiol (NY)
; 44(1): 65-71, 2019 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29967982
11.
Three-Dimensional CT Texture Analysis to Differentiate Colorectal Signet-Ring Cell Carcinoma and Adenocarcinoma.
Cancer Manag Res
; 11: 10445-10453, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31997883
12.
CT Morphological Features Integrated With Whole-Lesion Histogram Parameters to Predict Lung Metastasis for Colorectal Cancer Patients With Pulmonary Nodules.
Front Oncol
; 9: 1241, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31803619