Detalhe da pesquisa
1.
MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer.
Eur Radiol
; 32(2): 971-980, 2022 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-34327580
2.
CT Features of Ovarian Tumors: Defining Key Differences Between Serous Borderline Tumors and Low-Grade Serous Carcinomas.
AJR Am J Roentgenol
; 210(4): 918-926, 2018 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-29489407
3.
High-Grade Serous Ovarian Cancer: Associations between BRCA Mutation Status, CT Imaging Phenotypes, and Clinical Outcomes.
Radiology
; 285(2): 472-481, 2017 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-28628421
4.
Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis.
Eur Radiol
; 27(7): 2903-2915, 2017 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-27921159
5.
Diagnostic Performance of Computed Tomography for Preoperative Staging of Patients with Non-endometrioid Carcinomas of the Uterine Corpus.
Ann Surg Oncol
; 23(4): 1271-8, 2016 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-25665953
6.
Second-Opinion Interpretations of Gynecologic Oncologic MRI Examinations by Sub-Specialized Radiologists Influence Patient Care.
Eur Radiol
; 26(7): 2089-98, 2016 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-26494640
7.
Role of MR Imaging and FDG PET/CT in Selection and Follow-up of Patients Treated with Pelvic Exenteration for Gynecologic Malignancies.
Radiographics
; 35(4): 1295-313, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26172364
8.
Can 18F-FDG PET/CT Radiomics Features Predict Clinical Outcomes in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma?
Cancers (Basel)
; 14(12)2022 Jun 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-35740700
9.
Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.
Abdom Radiol (NY)
; 47(8): 2770-2782, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35710951
10.
Hyperpolarized MRI of Human Prostate Cancer Reveals Increased Lactate with Tumor Grade Driven by Monocarboxylate Transporter 1.
Cell Metab
; 31(1): 105-114.e3, 2020 01 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-31564440
11.
Unraveling tumor-immune heterogeneity in advanced ovarian cancer uncovers immunogenic effect of chemotherapy.
Nat Genet
; 52(6): 582-593, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-32483290
12.
Metabolic Imaging of the Human Brain with Hyperpolarized 13C Pyruvate Demonstrates 13C Lactate Production in Brain Tumor Patients.
Cancer Res
; 78(14): 3755-3760, 2018 07 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-29769199
13.
Reproducibility and Repeatability of Semiquantitative 18F-Fluorodihydrotestosterone Uptake Metrics in Castration-Resistant Prostate Cancer Metastases: A Prospective Multicenter Study.
J Nucl Med
; 59(10): 1516-1523, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-29626121
14.
Fertility-sparing for young patients with gynecologic cancer: How MRI can guide patient selection prior to conservative management.
Abdom Radiol (NY)
; 42(10): 2488-2512, 2017 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-28528388
15.
Prostate cancer bone metastases on staging prostate MRI: prevalence and clinical features associated with their diagnosis.
Abdom Radiol (NY)
; 42(1): 271-277, 2017 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-27480976
16.
Erratum to: Fertility-sparing for young patients with gynecologic cancer: How MRI can guide patient selection prior to conservative management.
Abdom Radiol (NY)
; 42(12): 2966-2973, 2017 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-29128990
17.
Patients with a Previous History of Malignancy Undergoing Lung Cancer Screening: Clinical Characteristics and Radiologic Findings.
J Thorac Oncol
; 11(9): 1447-52, 2016 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-27223458
18.
Radiogenomics Analysis of Intratumor Heterogeneity in a Patient With High-Grade Serous Ovarian Cancer.
JCO Precis Oncol
; 32019.
Artigo
em Inglês
| MEDLINE | ID: mdl-32914032