Subject(s)
Edema/parasitology , Leishmaniasis, Mucocutaneous/diagnosis , Lip Diseases/parasitology , Amphotericin B/therapeutic use , Antiprotozoal Agents/therapeutic use , Chronic Disease , Edema/pathology , Humans , Leishmaniasis, Mucocutaneous/drug therapy , Leishmaniasis, Mucocutaneous/pathology , Lip Diseases/drug therapy , Lip Diseases/pathology , Male , Middle AgedABSTRACT
No disponible
Subject(s)
Humans , Female , Granulomatous Mastitis/diagnosis , Granulomatous Mastitis/therapy , Diagnosis, DifferentialABSTRACT
This article investigates methods for the accurate and robust differentiation of metastases from glioblastomas on the basis of single-voxel (1)H MRS information. Single-voxel (1)H MR spectra from a total of 109 patients (78 glioblastomas and 31 metastases) from the multicenter, international INTERPRET database, plus a test set of 40 patients (30 glioblastomas and 10 metastases) from three different centers in the Barcelona (Spain) metropolitan area, were analyzed using a robust method for feature (spectral frequency) selection coupled with a linear-in-the-parameters single-layer perceptron classifier. For the test set, a parsimonious selection of five frequencies yielded an area under the receiver operating characteristic curve of 0.86, and an area under the convex hull of the receiver operating characteristic curve of 0.91. Moreover, these accurate results for the discrimination between glioblastomas and metastases were obtained using a small number of frequencies that are amenable to metabolic interpretation, which should ease their use as diagnostic markers. Importantly, the prediction can be expressed as a simple formula based on a linear combination of these frequencies. As a result, new cases could be straightforwardly predicted by integrating this formula into a computer-based medical decision support system. This work also shows that the combination of spectra acquired at different TEs (short TE, 20-32 ms; long TE, 135-144 ms) is key to the successful discrimination between glioblastomas and metastases from single-voxel (1)H MRS.
Subject(s)
Algorithms , Brain Neoplasms/diagnosis , Brain Neoplasms/secondary , Diagnosis, Computer-Assisted/methods , Glioblastoma/chemistry , Glioblastoma/diagnosis , Pattern Recognition, Automated/methods , Biomarkers, Tumor/analysis , Brain Chemistry , Brain Neoplasms/chemistry , Glioblastoma/secondary , Humans , Magnetic Resonance Spectroscopy/methods , Protons , Reproducibility of Results , Sensitivity and SpecificityABSTRACT
MRI and MRS are established methodologies for evaluating intracranial lesions. One MR spectral feature suggested for in vivo grading of astrocytic tumours is the apparent myo-lnositol (ml) intensity (ca 3.55 ppm) at short echo times, although glycine (gly) may also contribute in vivo to this resonance. The purpose of this study was to quantitatively evaluate the ml + gly contribution to the recorded spectral pattern in vivo and correlate it with in vitro data obtained from perchloric acid extraction of tumour biopsies. Patient spectra (n = 95) at 1.5T at short (20-31 ms) and long (135-136 ms) echo times were obtained from the INTERPRET MRS database (http://gabrmn.uab.eslinterpretvalidateddbl). Phantom spectra were acquired with a comparable protocol. Spectra were automatically processed and the ratios of the (ml + gly) to Cr peak heights ((ml + gly)/Cr) calculated. Perchloric acid extracts of brain tumour biopsies were analysed by high-resolution NMR at 9.4T. The ratio (ml + gly)/Cr decreased significantly with astrocytic grade in vivo between low-grade astrocytoma (A2) and glioblastoma multiforme (GBM). In vitro results displayed a somewhat different tendency, with anaplastic astrocytomas having significantly higher (ml + gly)/Cr than A2 and GBM. The discrepancy between in vivo and in vitro data suggests that the NMR visibility of glycine in glial brain tumours is restricted in vivo.
Subject(s)
Astrocytoma/metabolism , Astrocytoma/pathology , Brain Neoplasms/metabolism , Brain Neoplasms/pathology , Glycine/metabolism , Inositol/metabolism , Magnetic Resonance Spectroscopy/methods , Analysis of Variance , Biopsy , Choline/metabolism , Contrast Media , Creatine/metabolism , Humans , Neoplasm Grading , Perchlorates , Phantoms, Imaging , Statistics, NonparametricABSTRACT
We present a case of lymphoepithelioma of the larynx, a very rare tumour in this location. The relationship between lymphoepithelial carcinoma of the larynx and Epstein-Barr virus, is still controversial. We describe one new case of this tumour involving the supraglottis, and it's surgery and radioterapic treatment. The diagnostic problems and therapy associated with this rare tumour are discussed.
Subject(s)
Carcinoma, Squamous Cell/diagnostic imaging , Laryngeal Neoplasms/diagnostic imaging , Aged , Carcinoma, Squamous Cell/pathology , Carcinoma, Squamous Cell/surgery , Humans , Laryngeal Neoplasms/pathology , Laryngeal Neoplasms/surgery , Male , Tomography, X-Ray ComputedABSTRACT
Presentamos un caso de linfoepitelioma de laringe, un raro tumor en esta localización. La relación entre este tumor y el virus Epstein-Barr, establecida en otras localizaciones, es en esta muy discutida. Describimos un nuevo caso de este tumor, de origen supraglótico, junto a su tratamiento quirúrgico y radioterápico, así como los problemas de diagnóstico que plantea esta rara entidad (AU)
No disponible
Subject(s)
Male , Humans , Aged , Tomography, X-Ray Computed , Carcinoma, Squamous Cell , Laryngeal NeoplasmsABSTRACT
The purpose was to objectively compare the application of several techniques and the use of several input features for brain tumour classification using Magnetic Resonance Spectroscopy (MRS). Short echo time 1H MRS signals from patients with glioblastomas (n = 87), meningiomas (n = 57), metastases (n = 39), and astrocytomas grade II (n = 22) were provided by six centres in the European Union funded INTERPRET project. Linear discriminant analysis, least squares support vector machines (LS-SVM) with a linear kernel and LS-SVM with radial basis function kernel were applied and evaluated over 100 stratified random splittings of the dataset into training and test sets. The area under the receiver operating characteristic curve (AUC) was used to measure the performance of binary classifiers, while the percentage of correct classifications was used to evaluate the multiclass classifiers. The influence of several factors on the classification performance has been tested: L2- vs. water normalization, magnitude vs. real spectra and baseline correction. The effect of input feature reduction was also investigated by using only the selected frequency regions containing the most discriminatory information, and peak integrated values. Using L2-normalized complete spectra the automated binary classifiers reached a mean test AUC of more than 0.95, except for glioblastomas vs. metastases. Similar results were obtained for all classification techniques and input features except for water normalized spectra, where classification performance was lower. This indicates that data acquisition and processing can be simplified for classification purposes, excluding the need for separate water signal acquisition, baseline correction or phasing.
Subject(s)
Brain Neoplasms/diagnosis , Magnetic Resonance Spectroscopy/methods , Pattern Recognition, Automated , Brain Chemistry , Brain Neoplasms/chemistry , Diagnosis, Computer-Assisted , Discriminant Analysis , HumansABSTRACT
There has been a growing research interest in brain tumor classification based on proton magnetic resonance spectroscopy (1H MRS) signals. Four research centers within the EU funded INTERPRET project have acquired a significant number of long echo 1H MRS signals for brain tumor classification. In this paper, we present an objective comparison of several classification techniques applied to the discrimination of four types of brain tumors: meningiomas, glioblastomas, astrocytomas grade II and metastases. Linear and non-linear classifiers are compared: linear discriminant analysis (LDA), support vector machines (SVM) and least squares SVM (LS-SVM) with a linear kernel as linear techniques and LS-SVM with a radial basis function (RBF) kernel as a non-linear technique. Kernel-based methods can perform well in processing high dimensional data. This motivates the inclusion of SVM and LS-SVM in this study. The analysis includes optimal input variable selection, (hyper-) parameter estimation, followed by performance evaluation. The classification performance is evaluated over 200 stratified random samplings of the dataset into training and test sets. Receiver operating characteristic (ROC) curve analysis measures the performance of binary classification, while for multiclass classification, we consider the accuracy as performance measure. Based on the complete magnitude spectra, automated binary classifiers are able to reach an area under the ROC curve (AUC) of more than 0.9 except for the hard case glioblastomas versus metastases. Although, based on the available long echo 1H MRS data, we did not find any statistically significant difference between the performances of LDA and the kernel-based methods, the latter have the strength that no dimensionality reduction is required to obtain such a high performance.
Subject(s)
Astrocytoma/pathology , Brain Neoplasms/pathology , Magnetic Resonance Spectroscopy , Meningeal Neoplasms/pathology , Meningioma/pathology , Neoplasm Metastasis/diagnosis , Artificial Intelligence , Diagnosis, Computer-Assisted , Discriminant Analysis , HumansABSTRACT
In the brain, acetate is exclusively oxidized by glia. To determine the contribution of glial metabolism to the tricarboxylic acid cycle (TCA), 1-(13)C-acetate was infused in six studies in three normal adult subjects and -one epileptic receiving valproic acid for seizure control. Ten grams of 99% 1-(13)C labeled acetate were infused intravenously as a 3.3% w/v solution over 60 min, during which in vivo 13C MR spectra of the brain were acquired. As expected, 13C label rapidly enriched cerebral bicarbonate, glutamate and glutamine C5. The mean rate of acetate oxidation calculated from steady-state 13C enrichment of bicarbonate in fasted normal subjects was 0.13 +/- 0.03 micromol/g/min (n=4), approximately 20% of the total cerebral TCA cycle rate.
Subject(s)
Brain/metabolism , Citric Acid Cycle , Magnetic Resonance Spectroscopy , Neuroglia/metabolism , Acetates , Adult , Bicarbonates/metabolism , Carbon Isotopes , Epilepsy/drug therapy , Epilepsy/metabolism , Female , Glutamic Acid/metabolism , Glutamine/metabolism , Humans , Kinetics , Male , Middle Aged , Oxidation-Reduction , Valproic Acid/therapeutic useABSTRACT
No disponible
Subject(s)
Adult , Female , Humans , Hyperkeratosis, Epidermolytic/diagnosis , Hyperkeratosis, Epidermolytic/etiology , Hyperkeratosis, Epidermolytic/pathology , Hyperkeratosis, Epidermolytic/therapy , Nevus, Pigmented/diagnosis , Nevus, Pigmented/etiology , Nevus, Pigmented/pathology , Nevus, Pigmented/complications , Keratins/analysis , Hair Diseases/complications , Hair Diseases/diagnosis , Hair Diseases/pathology , Skin Neoplasms/complications , Skin Neoplasms/diagnosis , Skin Neoplasms/pathology , Skin/pathology , Skin/cytology , Skin Diseases/complications , Skin Diseases/diagnosis , Skin Diseases/pathologyABSTRACT
[1-13C]-labeled glucose was infused intravenously in a single dose of 0.2 g/kg body weight over 15 min in six patients with chronic hepatic encephalopathy, and three controls. Serial 13C MR spectra of the brain were acquired. Patients exhibited the following characteristics relative to normal controls: 1) Cerebral glutamine concentration was increased (12.6 +/- 3.8 vs. 6.5 +/- 1.9 mmol/kg, P < 0.006) and glutamate was reduced (8.2 +/- 1.0 vs. 9.9 +/- 0.6 mmol/kg, P < 0.02). 2) 13C incorporation into glutamate C4 and C2 positions was reduced in patients (80 min after start of infusion C4: 0.43 +/- 0.09 vs. 0.84 +/- 0.15 mmol/kg, P < 0.001; C2: 0.20 +/- 0.03 vs. 0.45 +/- 0.07 mmol/kg, P < 0.0001). 3) 13C incorporation into bicarbonate was delayed (90 +/- 21 vs. 40 +/- 10 min, P < 0.003), and the time interval between detection of glutamate C4 and C2 labeling was longer in patients (22 +/- 8 vs. 12 +/- 3 min, P < 0.03). 4) Glutamate C2 turnover time was reduced in chronic hepatic encephalopathy (17.1 +/- 6.8 vs. 49.6 +/- 8.7 min, P < 0.0002). 5) 13C accumulation into glutamine C2 relative to its substrate glutamate C2 increased progressively with the severity of clinical symptoms (r = 0.96, P < 0.01). These data indicate disturbed neurotransmitter glutamate/glutamine cycling and reduced glucose oxidation in chronic hepatic encephalopathy. [1-13C] glucose MRS provides novel insights into disease progression and the pathophysiology of chronic hepatic encephalopathy.
Subject(s)
Blood Glucose/metabolism , Brain/pathology , Glutamic Acid/metabolism , Glutamine/metabolism , Hepatic Encephalopathy/diagnosis , Magnetic Resonance Spectroscopy , Aged , Carbon Isotopes , Female , Hepatic Encephalopathy/pathology , Humans , Male , Middle Aged , Synaptic Transmission/physiologyABSTRACT
No disponible
Subject(s)
Female , Middle Aged , Humans , Folliculitis/surgery , Folliculitis/diagnosis , Folliculitis/physiopathology , Histological Techniques , Epidermal Cyst/surgery , Epidermal Cyst/diagnosis , Epidermal Cyst/etiology , Vulvar Diseases/surgery , Vulvar Diseases/diagnosis , Vulvar Diseases/etiology , Vulvar Neoplasms/diagnosis , Vulvar Neoplasms/etiology , Vulvar Neoplasms/pathology , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/pathology , Diabetes Mellitus, Type 2/drug therapy , Sebaceous Gland Neoplasms/diagnosis , Sebaceous Gland Neoplasms/pathology , Sebaceous Gland Neoplasms/ultrastructure , Sebaceous Gland Neoplasms/genetics , Vulva/pathology , Histocytological Preparation Techniques , Hypoglycemic Agents/therapeutic useABSTRACT
No disponible
Subject(s)
Aged , Male , Humans , Carcinoma, Basal Cell/surgery , Carcinoma, Basal Cell/diagnosis , Carcinoma, Basal Cell/etiology , Carcinoma, Basal Cell/pathology , Scalp/anatomy & histology , Scalp/pathology , Scalp Dermatoses/diagnosis , Scalp Dermatoses/pathology , Scalp Dermatoses/therapy , Keratosis, Seborrheic/diagnosis , Keratosis, Seborrheic/etiology , Keratosis, Seborrheic/pathology , Histological Techniques , Histology, Comparative/methods , Skin Neoplasms/diagnosis , Skin Neoplasms/immunology , Skin Neoplasms/pathology , Histocytological Preparation Techniques , Skin/pathology , Skin/ultrastructure , Skin/anatomy & histologyABSTRACT
El carcinoma basocelular de células granulares es un subtipo de carcinoma basocelular caracterizado por la presencia de células neoplásicas con hallazgos citológicos de células granulares, que forman parte o constituyen la totalidad de la tumoración. Es una variante rara, y el caso que presentamos es el octavo descrito en la literatura mundial. Los estudios inmunohistoquímico y ultraestructural demuestran que las células granulares proliferantes son de origen epitelial (AU)