Detalhe da pesquisa
1.
False-positive incidental lesions detected on contrast-enhanced breast MRI: clinical and imaging features.
Breast Cancer Res Treat
; 198(2): 321-334, 2023 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-36740611
2.
A randomized, controlled, phase II clinical trial of ß-D-mannuronic acid (M2000) in pre-surgical breast cancer patients at early stage (T1-T2).
Clin Exp Pharmacol Physiol
; 46(6): 527-532, 2019 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-30887570
3.
3D CT Radiomic Analysis Improves Detection of Axillary Lymph Node Metastases Compared to Conventional Features in Patients With Locally Advanced Breast Cancer.
J Breast Imaging
; 2024 May 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-38752527
4.
Breast ductography: to do or not to do? A pictorial essay.
Insights Imaging
; 14(1): 201, 2023 Nov 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-37995065
5.
How Does Diagnostic Accuracy Evolve with Increased Breast MRI Experience?
Tomography
; 9(6): 2067-2078, 2023 11 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-37987348
6.
Pseudoangiomatous stromal hyperplasia of the breast, imaging and clinical perspective: A review.
Breast Dis
; 42(1): 147-153, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37154175
7.
A rare presentation of tuberculous adenitis mimicking metastatic breast lymphadenopathy.
Breast Dis
; 41(1): 529-534, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36641652
8.
Management of granulomatous lobular mastitis: an international multidisciplinary consensus (2021 edition).
Mil Med Res
; 9(1): 20, 2022 04 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-35473758
9.
Imaging features of granulomatous mastitis in 36 patients with new sonographic signs.
J Ultrasound
; 23(1): 61-68, 2020 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-31175613
10.
Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients.
J Gastrointest Cancer
; 51(2): 601-609, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31456114
11.
Author Correction: Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients.
J Gastrointest Cancer
; 51(2): 610, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31828726
12.
Neo-adjuvant chemoradiotherapy response prediction using MRI based ensemble learning method in rectal cancer patients.
Phys Med
; 62: 111-119, 2019 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-31153390
13.
Comparison of inter- and intra-observer variability of breast density assessments using the fourth and fifth editions of Breast Imaging Reporting and Data System.
Eur J Radiol Open
; 5: 67-72, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29707614
14.
Correlation Between Mammographic Breast Density, Breast Tissue Type in Ultrasonography, Fibroglandular Tissue, and Background Parenchymal Enhancement in Magnetic Resonance Imaging.
Breast Cancer (Auckl)
; 12: 1178223418771971, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29706765
15.
Addition of oxaliplatin to neoadjuvant radiochemotherapy in MRI-defined T3, T4 or N+ rectal cancer: a randomized clinical trial.
Asia Pac J Clin Oncol
; 13(6): 416-422, 2017 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-28488380
16.
Correction: Management of granulomatous lobular mastitis: an international multidisciplinary consensus (2021 edition).
Mil Med Res
; 9(1): 47, 2022 Aug 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-35999646
17.
Bilateral Simultaneous Pseudoangiomatous Stromal Hyperplasia of the Breasts and Axillae: Imaging Findings with Pathological and Clinical Correlation.
Case Rep Radiol
; 2016: 9084820, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27867677
18.
Applicability of Radioguided Occult Lesion Localization for NonPalpable Benign Breast Lesions, Comparison with Wire Localization, a Clinical Trial.
Asian Pac J Cancer Prev
; 17(7): 3185-90, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27509949
19.
Comparison of the Accuracy of Thermography and Mammography in the Detection of Breast Cancer.
Breast Care (Basel)
; 11(4): 260-264, 2016 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-27721713
20.
Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.
Comput Methods Programs Biomed
; 122(2): 89-107, 2015 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-26206406