Lingual thyroid: the diagnostic value of magnetic resonance imaging

1991 ◽  
Vol 105 (6) ◽  
pp. 493-495 ◽  
Author(s):  
A. Guneri ◽  
K. Ceryan ◽  
E. Igci ◽  
A. Kovanlikaya
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Diagnostic Method ◽  
Diagnostic Value ◽  
Lingual Thyroid ◽  
Surgical Results ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Mri

AbstractLingual thyroid is an uncommon developmental aberrationof embryogenesis. It may present as a mid-line, non-tender, painless, reddish appearing swelling in the throat. Magnetic resonance imaging (MRI) is a relatively new diagnostic method for this condition. Two cases of lingual thyroid are reviewed with their MRI's and surgical results.

scholarly journals Diffusion-weighted magnetic resonance imaging in cystic renal masses

2017 ◽  
Vol 11 (1-2) ◽  
pp. 8 ◽  
Author(s):  
Fikret Balyemez ◽  
Ahmet Aslan ◽  
Ibrahim Inan ◽  
Ercan Ayaz ◽  
Vildan Karagöz ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Renal Cysts ◽  
Diagnostic Value ◽  
Resonance Imaging ◽  
Mri Findings ◽  
Renal Masses ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Magnetic Resonance Imaging Mri

Introduction: We aimed to introduce the diagnostic value of diffusion-weighted (DWI) magnetic resonance imaging (MRI) for distinguishing benign and malignant renal cystic masses.Methods: Abdominal DWI-MRIs of patients with Bosniak categories 2F, 3, and 4 cystic renal masses were evaluated retrospectively. Cystic masses were assigned as benign or malignant according to histopathological or followup MRI findings and compared with apparent diffusion coefficient (ADC) values.Results: There were 30 patients (18 males and 12 females, mean age was 59.23 ± 12.08 years [range 38‒83 years]) with cystic renal masses (eight Bosniak category 2F, 12 Bosniak category 3, 10 Bosniak category 4). Among them, 14 cysts were diagnosed as benign and 16 as malignant by followup imaging or histopathological findings. For the malignant lesions, the mean ADC values were lower than for benign lesions (p=0.001). An ADC value of ≤2.28 x10-6 mm2/s or less had a sensitivity of 75% and a specificity of 92.86% for detecting malignancy.Conclusions: ADC can improve the diagnostic performance of MRI in the evaluation of complex renal cysts when used together with conventional MRI sequences.

scholarly journals Imaging of larynx: Diagnostic value of computed tomography and magnetic resonance imaging

2009 ◽  
Vol 56 (3) ◽  
pp. 39-44
Author(s):  
R.M. Maksimovic ◽  
B.A. Banko ◽  
J.P. Milovanovic
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Magnetic Resonance ◽  
Regional Lymph Node ◽  
Diagnostic Value ◽  
Resonance Imaging ◽  
Precise Diagnosis ◽  
Node Metastases ◽  
Magnetic Resonance Imaging Mri

Computed tomography (CT) and magnetic resonance imaging (MRI) are enabling more precise diagnosis and treatment planning in patients with diseases of the larynx. The aim of this article is to describe the role of these methods in assessment of the laringeal diseases and key local anatomic characteristics important for spread of the disease. CT and MRI have a valuable contribution to the staging of the tumors due to the possibility to show the relationship to the ventricular complex, involvement of the subumucosal spaces, defining craniocaudal and anterposterior extension, laringeal cartilage invasion, as well as regional lymph node metastases.

scholarly journals Diagnostic value of magnetic resonance imaging in the analysis of ameloblastoma: report of two cases

2019 ◽  
Vol 22 (3) ◽  
pp. 425-431
Author(s):  
Neiandro Santos Galvão ◽  
Antonione Santos Bezerra Pinto ◽  
Alan Leandro Carvalho Farias ◽  
André Luiz Ferreira Costa ◽  
Sérgio Lúcio Pereira de Castro Lopes ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Differential Diagnosis ◽  
Magnetic Resonance ◽  
Signal Intensity ◽  
Diagnostic Value ◽  
Resonance Imaging ◽  
Intermediate Signal Intensity ◽  
Additional Information ◽  
Imaging Characteristics ◽  
Magnetic Resonance Imaging Mri

Ameloblastoma is an odontogenic tumor that shares clinical and imaging characteristics with other lesions of the jaws, such as odontogenic keratocyst, which makes the diagnosis difficult. However, in addition to radiographic and tomographic examinations, Magnetic Resonance Imaging (MRI) has been increasingly used, contributing with relevant additional information about the differentiation between solid and liquid components of the lesion. This case report was conducted to present two variations of ameloblastoma and discuss the radiographic, tomographic and MRI contribution in the differential diagnosis between ameloblastoma and odontogenic keratocyst.The signal intensity in T1-weighted MRI revealed internal fluid content in both cases, which was important in the differential diagnosis with other intraosseous lesions such as odontogenic keratocysts. This is probably due to the presence of keratin that increases the viscosity of the content and also for an intermediate signal intensity signal in T2-weighted MRI. Therefore, MRI revealed important internal characteristics of the reported lesions, which was very useful in the establishment of the differential diagnosis with other lesions.

scholarly journals Magnetic Resonance Imaging of the Diaphragm: From Normal to Pathologic Findings

2020 ◽  
Vol 10 ◽  
pp. 1
Author(s):  
Giuseppe Cicero ◽  
Silvio Mazziotti ◽  
Alfredo Blandino ◽  
Francesca Granata ◽  
Michele Gaeta
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Respiratory Function ◽  
Diagnostic Value ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Diaphragmatic Dysfunction ◽  
Adjacent Structures ◽  
Pathologic Findings ◽  
Magnetic Resonance Imaging Mri

The diaphragm is a musculotendinous structure that divides the chest from the abdomen. Its motility, unintentional or voluntary, is crucial for the physiologic respiratory function due to its contribution to lung volume expansion and contraction. Therefore, diaphragmatic dysfunction may cause a respiratory failure without any pathology of the lungs. Different imaging modalities can be employed for diaphragmatic evaluation. Among all, magnetic resonance imaging (MRI) has demonstrated to be the most accurate technique in providing a morphologic and functional assessment of the diaphragm as well as information about the adjacent structures. However, its diagnostic value is still underrated and its performance is often far from the daily clinical practice. Backward, physicians and radiologists should be aware of the undoubted advantages of MRI and confident about the normal or pathologic imaging features, to avoid misdiagnosis.

scholarly journals Diagnostic Value of Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and Positron Emission Tomography (PET) in the Detection of Lymph Node Metastases in Gynaecologic Cancers

2019 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Lymph Node ◽  
Magnetic Resonance ◽  
Lymph Node Metastases ◽  
Predictive Value ◽  
Diagnostic Value ◽  
Emission Tomography ◽  
Resonance Imaging ◽  
Node Metastases ◽  
Magnetic Resonance Imaging Mri

Background: A factor that affects the staging of gynaecological cancers is the status of adenopathy’s and imaging tests are a fundamental part of staging. Primary Objective: To assess the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) in the detection of pathological lymphadenopathies in gynaecological cancers of magnetic resonance imaging (MRI), computerized axial tomography (CAT) and positrons emission tomography (PET). Study Hypothesis: Imaging tests are not as valid as lymphadenectomy for the diagnosis of pathological lymphadenopathies. Trial Design: Retrospective study performed in the gynaecological oncology unit of a tertiary hospital. Major Inclusion/Exclusion Criteria: Patients diagnosed with genital cancer (endometrium, ovary or cervix) in the period between January 1, 2014 and December 31, 2018, who meet the following inclusion criteria: (i) have requested a diagnostic test of image (RNM, CT or PET-CT) prior to undergoing surgery; (ii) have undergone surgery for the treatment of cancer and (iii) have undergone lymphadenectomy, pelvic and / or para-aortic, during surgery. Primary Endpoint: Correlation between the imaging tests and the anatomopathological result of the lymph node biopsies. Sample Size: 219 patients who underwent pelvic, para-aortic lymphadenectomy or both due to cancer of the endometrium, ovary or cervix, and at least one imaging test prior to surgery. Results: In our study, PET presents the highest sensitivity (42%) of the diagnostic tests evaluated, the TAC the highest specificity (95%) and the highest PPV (77%) and the MRI the highest NPV (76%). Conclusions: The diagnostic value of imaging tests in the detection of lymph node metastases in gynaecological cancers is limited.

scholarly journals Diagnostic Value of Ultrasonography and Magnetic Resonance Imaging in Ulnar Neuropathy at the Elbow

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Hormoz Ayromlou ◽  
Mohammad K. Tarzamni ◽  
Mohammad Hossein Daghighi ◽  
Mohammad Zakaria Pezeshki ◽  
Mohammad Yazdchi ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Ulnar Nerve ◽  
Diagnostic Value ◽  
Ulnar Neuropathy ◽  
Resonance Imaging ◽  
Cross Sectional ◽  
Multiple Levels ◽  
Magnetic Resonance Imaging Mri ◽  
Sensitivity Specificity

Aim. To evaluate the diagnostic value of ultrasonography and magnetic resonance imaging (MRI) in patients with ulnar neuropathy at the elbow (UNE). Methods. We prospectively performed electrodiagnostic, ultrasonographic, and MRI studies in UNE patients and healthy controls. Three cross-sectional area (CSA) measurements of the ulnar nerve at multiple levels along the arm and maximum CSA(-max) were recorded. Results. The ulnar nerve CSA measurements were different between the UNE severity grades (P<0.05). CSA-max had the greatest sensitivity (93%) and specificity (68%). Moreover, CSA-max ≥10 mm2 defined the severe UNE cases (sensitivity/specificity: 82%/72%). In MRI, ulnar nerve hyperintensity had the greatest sensitivity (90%) and specificity (80%). Conclusion. Ultrasonography using CSA-max is sensitive and specific in UNE diagnosis and discriminating the severe UNE cases. Furthermore, MRI particularly targeting at increased signal of the ulnar nerve can be a useful diagnostic test of UNE.

scholarly journals Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade

2021 ◽  
Author(s):  
Roberto Lo Gullo ◽  
Kerri Vincenti ◽  
Carolina Rossi Saccarelli ◽  
Peter Gibbs ◽  
Michael J. Fox ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Magnetic Resonance ◽  
Atypical Ductal Hyperplasia ◽  
Univariate Analysis ◽  
Diagnostic Value ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Ductal Hyperplasia ◽  
Magnetic Resonance Imaging Mri

Abstract Purpose To investigate whether radiomics features extracted from magnetic resonance imaging (MRI) of patients with biopsy-proven atypical ductal hyperplasia (ADH) coupled with machine learning can differentiate high-risk lesions that will upgrade to malignancy at surgery from those that will not, and to determine if qualitatively and semi-quantitatively assessed imaging features, clinical factors, and image-guided biopsy technical factors are associated with upgrade rate. Methods This retrospective study included 127 patients with 139 breast lesions yielding ADH at biopsy who were assessed with multiparametric MRI prior to biopsy. Two radiologists assessed all lesions independently and with a third reader in consensus according to the BI-RADS lexicon. Univariate analysis and multivariate modeling were performed to identify significant radiomic features to be included in a machine learning model to discriminate between lesions that upgraded to malignancy on surgery from those that did not. Results Of 139 lesions, 28 were upgraded to malignancy at surgery, while 111 were not upgraded. Diagnostic accuracy was 53.6%, specificity 79.2%, and sensitivity 15.3% for the model developed from pre-contrast features, and 60.7%, 86%, and 22.8% for the model developed from delta radiomics datasets. No significant associations were found between any radiologist-assessed lesion parameters and upgrade status. There was a significant correlation between the number of specimens sampled during biopsy and upgrade status (p = 0.003). Conclusion Radiomics analysis coupled with machine learning did not predict upgrade status of ADH. The only significant result from this analysis is between the number of specimens sampled during biopsy procedure and upgrade status at surgery.

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