scholarly journals MR Imaging Criteria for the Detection of Nasopharyngeal Carcinoma: Discrimination of Early-Stage Primary Tumors from Benign Hyperplasia

2017 ◽  
Vol 39 (3) ◽  
pp. 515-523 ◽  
Author(s):  
A.D. King ◽  
L.Y.S. Wong ◽  
B.K.H. Law ◽  
K.S. Bhatia ◽  
J.K.S. Woo ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Mr Imaging ◽  
Early Stage ◽  
Primary Tumors ◽  
Benign Hyperplasia

Distinguishing early-stage nasopharyngeal carcinoma from benign hyperplasia using intravoxel incoherent motion diffusion-weighted MRI

2019 ◽  
Vol 29 (10) ◽  
pp. 5627-5634 ◽  
Author(s):  
Qi-Yong Ai ◽  
Ann D. King ◽  
Janet S. M. Chan ◽  
Weitian Chen ◽  
K. C. Allen Chan ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Early Stage ◽  
Intravoxel Incoherent Motion ◽  
Diffusion Weighted Mri ◽  
Diffusion Weighted ◽  
Benign Hyperplasia

scholarly journals Early Detection of Cancer: Evaluation of MR Imaging Grading Systems in Patients with Suspected Nasopharyngeal Carcinoma

2020 ◽  
Vol 41 (3) ◽  
pp. 515-521 ◽  
Author(s):  
A.D. King ◽  
J.K.S. Woo ◽  
Q.-Y. Ai ◽  
F.K.F. Mo ◽  
T.Y. So ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Early Detection ◽  
Mr Imaging ◽  
Early Detection Of Cancer ◽  
Grading Systems

scholarly journals EP-1921: Dosimetric study of neck skin dose for early-stage nasopharyngeal carcinoma

2018 ◽  
Vol 127 ◽  
pp. S1044
Author(s):  
X.F. Liao ◽  
J. Li ◽  
L.C. Orlandini ◽  
P. Xu ◽  
C. Li ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Early Stage ◽  
Skin Dose ◽  
Dosimetric Study

Clinical Stage I Carcinoma of the Uterine Cervix Value of Preoperative Magnetic Resonance Imaging in Assessing Parametrial Invasion

2002 ◽  
Vol 88 (4) ◽  
pp. 291-295 ◽  
Author(s):  
Sandro Sironi ◽  
Massimo Bellomi ◽  
Gaetano Villa ◽  
Silvia Rossi ◽  
Alessandro Del Maschio
Keyword(s):  
Cervical Cancer ◽  
Mr Imaging ◽  
Tumor Invasion ◽  
Early Stage ◽  
Imaging Techniques ◽  
Clinical Stage ◽  
Fast Spin Echo ◽  
Parametrial Invasion ◽  
Early Stage Cervical Cancer ◽  
T2 Weighted Images

Aims and Background The purpose of this prospective study was to assess the efficacy of different MR imaging techniques in the evaluation of parametrial tumor invasion in patients with early stage cervical cancer. Methods A total of 73 consecutive patients, clinically considered to have invasive tumor (<3 cm in diameter) confined to the cervix, underwent MR imaging studies at 1 T, according to the following protocol: fast spin-echo (FSE) T2-weighted, gadolinium-enhanced SE T1-weighted, and fat-suppressed gadolinium-enhanced SE T1-weighted sequences. Images obtained with each sequence were evaluated for parametrial invasion with the use of histopathologic findings as the standard of reference. Results In the assessment of tumor infiltration of the parametrium, with FSE T2-weighted images accuracy was 83%, with SE T1-weighted gadolinium-enhanced images was 65%, and with SE T1-weighted gadolinium-enhanced fat-suppressed images was 72%. The difference between the accuracy rate achieved with FSE T2-weighted images and those obtained with the other two MR sequences was statistically significant (P <0.05). The high negative predictive value (95%) for the exclusion of parametrial tumor invasion was the principal contributor to the staging accuracy obtained with FSE T2-weighted imaging. Conclusions Unenhanced FSE T2-weighted imaging is a reliable method for determining the degree of tumor invasion in patients with early stage cervical cancer. Our data suggest that contrast-enhanced sequences, even with the use of the fat suppression technique, have limited value in assessing tumor extension.

scholarly journals Prognostic Value of Cervical Nodal Necrosis in Nasopharyngeal Carcinoma: Analysis of 1800 Patients with Positive Cervical Nodal Metastasis at MR Imaging

Radiology ◽  
2015 ◽  
Vol 276 (2) ◽  
pp. 536-544 ◽  
Author(s):  
Mei Lan ◽  
Ying Huang ◽  
Chun-Yan Chen ◽  
Fei Han ◽  
Shao-Xiong Wu ◽  
...  
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Mr Imaging ◽  
Prognostic Value ◽  
Nodal Metastasis

scholarly journals Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases

2020 ◽  
Vol 10 ◽  
Author(s):  
Raphael Meier ◽  
Aurélie Pahud de Mortanges ◽  
Roland Wiest ◽  
Urspeter Knecht
Keyword(s):  
Mr Imaging ◽  
Right Hemisphere ◽  
Small Cell ◽  
Imaging Biomarkers ◽  
Support Vector ◽  
Imaging Features ◽  
Post Contrast ◽  
Primary Tumors ◽  
Tumor Margin ◽  
Definition Of

ObjectivesTo identify qualitative VASARI (Visually AcceSIble Rembrandt Images) Magnetic Resonance (MR) Imaging features for differentiation of glioblastoma (GBM) and brain metastasis (BM) of different primary tumors.Materials and MethodsT1-weighted pre- and post-contrast, T2-weighted, and T2-weighted, fluid attenuated inversion recovery (FLAIR) MR images of a total of 239 lesions from 109 patients with either GBM or BM (breast cancer, non-small cell (NSCLC) adenocarcinoma, NSCLC squamous cell carcinoma, small-cell lung cancer (SCLC)) were included. A set of adapted, qualitative VASARI MR features describing tumor appearance and location was scored (binary; 1 = presence of feature, 0 = absence of feature). Exploratory data analysis was performed on binary scores using a combination of descriptive statistics (proportions with 95% binomial confidence intervals), unsupervised methods and supervised methods including multivariate feature ranking using either repeated fitting or recursive feature elimination with Support Vector Machines (SVMs).ResultsGBMs were found to involve all lobes of the cerebrum with a fronto-occipital gradient, often affected the corpus callosum (32.4%, 95% CI 19.1–49.2), and showed a strong preference for the right hemisphere (79.4%, 95% CI 63.2–89.7). BMs occurred most frequently in the frontal lobe (35.1%, 95% CI 28.9–41.9) and cerebellum (28.3%, 95% CI 22.6–34.8). The appearance of GBMs was characterized by preference for well-defined non-enhancing tumor margin (100%, 89.8–100), ependymal extension (52.9%, 36.7–68.5) and substantially less enhancing foci than BMs (44.1%, 28.9–60.6 vs. 75.1%, 68.8–80.5). Unsupervised and supervised analyses showed that GBMs are distinctively different from BMs and that this difference is driven by definition of non-enhancing tumor margin, ependymal extension and features describing laterality. Differentiation of histological subtypes of BMs was driven by the presence of well-defined enhancing and non-enhancing tumor margins and localization in the vision center. SVM models with optimal hyperparameters led to weighted F1-score of 0.865 for differentiation of GBMs from BMs and weighted F1-score of 0.326 for differentiation of BM subtypes.ConclusionVASARI MR imaging features related to definition of non-enhancing margin, ependymal extension, and tumor localization may serve as potential imaging biomarkers to differentiate GBMs from BMs.

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