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1.
Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
Eur Radiol
; 34(4): 2576-2589, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-37782338
2.
Radiomics nomogram for predicting axillary lymph node metastasis-a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study.
Radiol Med
; 128(12): 1472-1482, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-37857980
3.
Quantitative breast density measurement based on three-dimensional images: a study on cone-beam breast computed tomography.
Acta Radiol
; 63(8): 1023-1031, 2022 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-34259021
4.
Differentiating the lung lesions using Intravoxel incoherent motion diffusion-weighted imaging: a meta-analysis.
BMC Cancer
; 20(1): 799, 2020 Aug 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-32831052
5.
CT Characterization of Duodenal Gastrointestinal Stromal Tumors.
AJR Am J Roentgenol
; 204(5): 988-93, 2015 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-25905932
6.
Nasopharyngeal carcinoma patients with retropharyngeal lymph node metastases: a minimum axial diameter of 6 mm is a more accurate prognostic predictor than 5 mm.
AJR Am J Roentgenol
; 204(1): 20-3, 2015 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-25539232
7.
Diagnostic assessment by dynamic contrast-enhanced and diffusion-weighted magnetic resonance in differentiation of breast lesions under different imaging protocols.
BMC Cancer
; 14: 366, 2014 May 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-24885156
8.
Effect of vascular haemoglobin concentrations on ultrasound-guided diffuse optical tomography in differentiating benign from malignant breast lesions.
Eur Radiol
; 24(11): 2848-56, 2014 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-25097131
9.
Simple measurements on diffusion-weighted MR imaging for assessment of complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Eur Radiol
; 24(11): 2962-70, 2014 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-25038851
10.
CT and MRI of radiation-induced sarcomas of the head and neck following radiotherapy for nasopharyngeal carcinoma.
Clin Radiol
; 68(7): 683-9, 2013 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-23477476
11.
Hepatic angiomyolipoma: CT and MR imaging findings with clinical-pathologic comparison.
Abdom Imaging
; 38(3): 482-9, 2013 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-22996326
12.
Abnormal baseline brain activity in patients with HBV-related cirrhosis without overt hepatic encephalopathy revealed by resting-state functional MRI.
Metab Brain Dis
; 28(3): 485-92, 2013 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-23836055
13.
Cone-beam breast CT-guided surface location facilitates breast-conserving surgery in breast cancer patients with extensive calcifications: A pilot study.
Front Surg
; 10: 1070868, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-36843987
14.
Is tamoxifen alone adequate therapy in very young Chinese women with operable breast cancer?
Breast J
; 18(2): 124-9, 2012.
Artículo
en Inglés
| MEDLINE | ID: mdl-22236200
15.
Solid neuroendocrine breast carcinoma: mammographic and sonographic features in thirteen cases.
Chin J Cancer
; 31(11): 549-56, 2012 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-22640624
16.
Assessment of Cone-Beam Breast Computed Tomography for Predicting Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer: A Prospective Study.
J Oncol
; 2022: 9321763, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35528237
17.
Correlation between contrast-enhanced cone-beam breast computed tomography features and prognostic staging in breast cancer.
Br J Radiol
; 95(1132): 20210466, 2022 Apr 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-34930038
18.
Radiocolloid in combination with methylene dye localization, rather than wire localization, is a preferred procedure for excisional biopsy of nonpalpable breast lesions.
Ann Surg Oncol
; 18(1): 109-13, 2011 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-20680696
19.
Characterizing the clustered microcalcifications on mammograms to predict the pathological classification and grading: a mathematical modeling approach.
J Digit Imaging
; 24(5): 764-71, 2011 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-21512853
20.
Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search.
Eur J Radiol
; 142: 109878, 2021 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-34388626