scholarly journals The Great Masquerade: A Rare Presentation of Spinal Tuberculoma

2021 ◽  
Author(s):  
Arnesh Bhattacharya ◽  
Ajay Chauhan ◽  
Ayushi Singhal
Keyword(s):  
Magnetic Resonance Imaging ◽  
Dorsal Root ◽  
Lower Limbs ◽  
Resonance Imaging ◽  
Normal Pattern ◽  
Spinal Level ◽  
Rare Presentation ◽  
Common Presentation ◽  
Contrast Enhanced ◽  
Sensory Involvement

Spinal tuberculomas form a meagre fraction of cases of Tuberculosis (TB). Most common presentation of spinal tuberculoma is weakness. A 45-year-old female presented with dysthesias, gait instability and numbness involving both lower limbs for a period of 7-10 days. Patient was vitally stable (blood pressure of 128/78 mm of Hg, pulse rate of 86 beats per minute and respiratory rate of 18 breaths per minute with a normal pattern), alert and co-operative. Neurological examination suggested non length dependant sensory involvement of lower limbs, sensory ataxia and areflexia, level of lesion being at the Dorsal Root Ganglia (DRG) (sensory neuronopathy). Contrast Enhanced Magnetic Resonance Imaging (CEMRI) spine revealed tuberculoma at D9 spinal level. Patient responded to Antitubercular Therapy (ATT) and recovered. The intention of sharing the clinical experience is with the sole purpose of remembering the fact that common pathologies may at times be great mimickers. In the present case, while a lot of rare causes (autoimmune, neoplastic) were searched for, tuberculoma happened to be the culprit.

Biomineralized iron oxide–polydopamine hybrid nanodots for contrast-enhanced T1-weighted magnetic resonance imaging and photothermal tumor ablation

2021 ◽  
Vol 9 (7) ◽  
pp. 1781-1786
Author(s):  
Ze’ai Wang ◽  
Yanfeng Wang ◽  
Yuan Wang ◽  
Chaogang Wei ◽  
Yibin Deng ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Iron Oxide ◽  
Magnetic Resonance ◽  
Therapeutic Efficacy ◽  
Tumor Ablation ◽  
Resonance Imaging ◽  
Contrast Enhanced ◽  
Weighted Magnetic Resonance Imaging

Biomineralized iron oxide–polydopamine hybrid nanodots are constructed using albumin nanoreactors to facilitate contrast-enhanced T1-weighted magnetic resonance imaging as well as photothermal therapeutic efficacy.

scholarly journals Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions

2021 ◽  
Vol 11 (4) ◽  
pp. 1880
Author(s):  
Roberta Fusco ◽  
Adele Piccirillo ◽  
Mario Sansone ◽  
Vincenza Granata ◽  
Paolo Vallone ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Artificial Intelligence ◽  
Feature Selection ◽  
Resonance Imaging ◽  
Dynamic Features ◽  
Surgical Specimen ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Malignant Lesions

Purpose: The aim of the study was to estimate the diagnostic accuracy of textural, morphological and dynamic features, extracted by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images, by carrying out univariate and multivariate statistical analyses including artificial intelligence approaches. Methods: In total, 85 patients with known breast lesion were enrolled in this retrospective study according to regulations issued by the local Institutional Review Board. All patients underwent DCE-MRI examination. The reference standard was pathology from a surgical specimen for malignant lesions and pathology from a surgical specimen or fine needle aspiration cytology, core or Tru-Cut needle biopsy for benign lesions. In total, 91 samples of 85 patients were analyzed. Furthermore, 48 textural metrics, 15 morphological and 81 dynamic parameters were extracted by manually segmenting regions of interest. Statistical analyses including univariate and multivariate approaches were performed: non-parametric Wilcoxon–Mann–Whitney test; receiver operating characteristic (ROC), linear classifier (LDA), decision tree (DT), k-nearest neighbors (KNN), and support vector machine (SVM) were utilized. A balancing approach and feature selection methods were used. Results: The univariate analysis showed low accuracy and area under the curve (AUC) for all considered features. Instead, in the multivariate textural analysis, the best performance (accuracy (ACC) = 0.78; AUC = 0.78) was reached with all 48 metrics and an LDA trained with balanced data. The best performance (ACC = 0.75; AUC = 0.80) using morphological features was reached with an SVM trained with 10-fold cross-variation (CV) and balanced data (with adaptive synthetic (ADASYN) function) and a subset of five robust morphological features (circularity, rectangularity, sphericity, gleaning and surface). The best performance (ACC = 0.82; AUC = 0.83) using dynamic features was reached with a trained SVM and balanced data (with ADASYN function). Conclusion: Multivariate analyses using pattern recognition approaches, including all morphological, textural and dynamic features, optimized by adaptive synthetic sampling and feature selection operations obtained the best results and showed the best performance in the discrimination of benign and malignant lesions.

scholarly journals A Gadolinium(III) Complex Based on the Thymine Nucleobase with Properties Suitable for Magnetic Resonance Imaging

2021 ◽  
Vol 22 (9) ◽  
pp. 4586
Author(s):  
Marta Orts-Arroyo ◽  
Amadeo Ten-Esteve ◽  
Sonia Ginés-Cárdenas ◽  
Isabel Castro ◽  
Luis Martí-Bonmatí ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Mr Imaging ◽  
Lesion Detection ◽  
Resonance Imaging ◽  
X Ray Diffraction ◽  
Functional Images ◽  
High Relaxivity ◽  
Contrast Enhanced ◽  
Phantom Studies

The paramagnetic gadolinium(III) ion is used as contrast agent in magnetic resonance (MR) imaging to improve the lesion detection and characterization. It generates a signal by changing the relaxivity of protons from associated water molecules and creates a clearer physical distinction between the molecule and the surrounding tissues. New gadolinium-based contrast agents displaying larger relaxivity values and specifically targeted might provide higher resolution and better functional images. We have synthesized the gadolinium(III) complex of formula [Gd(thy)2(H2O)6](ClO4)3·2H2O (1) [thy = 5-methyl-1H-pyrimidine-2,4-dione or thymine], which is the first reported compound based on gadolinium and thymine nucleobase. 1 has been characterized through UV-vis, IR, SEM-EDAX, and single-crystal X-ray diffraction techniques, and its magnetic and relaxometric properties have been investigated by means of SQUID magnetometer and MR imaging phantom studies, respectively. On the basis of its high relaxivity values, this gadolinium(III) complex can be considered a suitable candidate for contrast-enhanced magnetic resonance imaging.

Dynamic contrast‐enhanced magnetic resonance imaging for differentiating head and neck paraganglioma and schwannoma

Head & Neck ◽  
2021 ◽  
Author(s):  
Soumya Ranjan Malla ◽  
Ashu Seith Bhalla ◽  
Smita Manchanda ◽  
Devasenathipathy Kandasamy ◽  
Rakesh Kumar ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Head And Neck ◽  
Resonance Imaging ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Head And Neck Paraganglioma
Sign in / Sign up

Export Citation Format

Share Document