Diagnostic Ability Of Barrett’s Index to Detect Dysthyroid Optic Neuropathy Using Multidetector Computed Tomography

OBJECTIVES: The objective of this study was to evaluate the ability of a muscular index (Barrett's Index), calculated with multidetector computed tomography, to detect dysthyroid optic neuropathy in patients with Graves' orbitopathy. METHODS: Thirty-six patients with Graves' orbitopathy were prospectively studied and submitted to neuro-ophthalmic evaluation and multidetector computed tomography scans of the orbits. Orbits were divided into two groups: those with and without dysthyroid optic neuropathy. Barrett's index was calculated as the percentage of the orbit occupied by muscles. Sensitivity and specificity were determined for several index values. RESULTS: Sixty-four orbits (19 with and 45 without dysthyroid optic neuropathy) met the inclusion criteria for the study. The mean Barrett's index values (± SD) were 64.47% ± 6.06% and 49.44% ± 10.94%in the groups with and without dysthyroid optic neuropathy, respectively (p<0.001). Barrett's index sensitivity ranged from 32% to 100%, and Barrett's index specificity ranged from 24% to 100%. The best combination of sensitivity and specificity was 79%/72% for BI=60% (odds ratio: 9.2). CONCLUSIONS: Barrett's Index is a useful indicator of dysthyroid optic neuropathy and may contribute to early diagnosis and treatment. Patients with a Barrett's index >60% should be carefully examined and followed for the development of dysthyroid optic neuropathy

Predicting dysthyroid optic neuropathy using computed tomography volumetric analyses of orbital structures

OBJECTIVE: To evaluate the ability of orbital apex crowding volume measurements calculated with multidetector-computed tomography to detect dysthyroid optic neuropathy. \ud METHODS: Ninety-three patients with Graves' orbitopathy were studied prospectively. All of the patients underwent a complete neuro-ophthalmic examination and computed tomography scanning. Volumetric measurements were calculated from axial and coronal contiguous sections using a dedicated workstation. Orbital fat and muscle volume were estimated on the basis of their attenuation values (in Hounsfield units) using measurements from the anterior orbital rim to the optic foramen. Two indexes of orbital muscle crowding were calculated: i) the volumetric crowding index, which is the ratio between soft tissue (mainly extraocular muscles) and orbital fat volume and is based on axial scans of the entire orbit; and ii) the volumetric orbital apex crowding index, which is the ratio between the extraocular muscles and orbital fat volume and is based on coronal scans of the orbital apex. Two groups of orbits (with and without dysthyroid optic neuropathy) were compared. \ud RESULTS: One hundred and two orbits of 61 patients with Graves' orbitopathy met the inclusion criteria and were analyzed. Forty-one orbits were diagnosed with Graves' orbitopathy, and 61 orbits did not have optic neuropathy. The two groups of orbits differed significantly with regard to both of the volumetric indexes (p<0.001). Although both indexes had good discrimination ability, the volumetric orbital apex crowding index yielded the best results with 92% sensitivity, 86% specificity, 81%/94% positive/negative predictive value and 88% accuracy at a cutoff of 4.14. \ud CONCLUSION: This study found that the orbital volumetric crowding index was a more effective predictor of dysthyroid optic neuropathy than previously described computed tomography indexes were.This work was supported by grants from Fundação de Amparo a Pesquisa do Estado de São Paulo FAPESP (N° 2012/50392) São Paulo, Brazil, and from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (N° 306487/2011-0) Brasília, Brazil

Sensitivity of nasal airflow variables computed via computational fluid dynamics to the computed tomography segmentation threshold.

Computational fluid dynamics (CFD) allows quantitative assessment of transport phenomena in the human nasal cavity, including heat exchange, moisture transport, odorant uptake in the olfactory cleft, and regional delivery of pharmaceutical aerosols. The first step when applying CFD to investigate nasal airflow is to create a 3-dimensional reconstruction of the nasal anatomy from computed tomography (CT) scans or magnetic resonance images (MRI). However, a method to identify the exact location of the air-tissue boundary from CT scans or MRI is currently lacking. This introduces some uncertainty in the nasal cavity geometry. The radiodensity threshold for segmentation of the nasal airways has received little attention in the CFD literature. The goal of this study is to quantify how uncertainty in the segmentation threshold impacts CFD simulations of transport phenomena in the human nasal cavity. Three patients with nasal airway obstruction were included in the analysis. Pre-surgery CT scans were obtained after mucosal decongestion with oxymetazoline. For each patient, the nasal anatomy was reconstructed using three different thresholds in Hounsfield units (-800HU, -550HU, and -300HU). Our results demonstrate that some CFD variables (pressure drop, flowrate, airflow resistance) and anatomic variables (airspace cross-sectional area and volume) are strongly dependent on the segmentation threshold, while other CFD variables (intranasal flow distribution, surface area) are less sensitive to the segmentation threshold. These findings suggest that identification of an optimal threshold for segmentation of the nasal airway from CT scans will be important for good agreement between in vivo measurements and patient-specific CFD simulations of transport phenomena in the nasal cavity, particularly for processes sensitive to the transnasal pressure drop. We recommend that future CFD studies should always report the segmentation threshold used to reconstruct the nasal anatomy

Individually Customized Implants for Laryngoplasty-Are They Possible?

Objective. To standardize the design of individually fitted implants based on computed tomographic (CT) images for use in medialization laryngoplasty without intraoperative voice monitoring. Study Design. Prospective tomographic and anatomical experimental study of 10 human cadaveric larynges. Methods. CT scans of 10 excised human larynges were analyzed to define the shape and size of ideal implants for medialization laryngoplasty. Silicone implants were designed according to CT parameters and used in simulated laryngoplasties in the laryngeal specimens. The efficacy of each implant in providing adequate medialization of the vocal fold was evaluated. Results. Diverse shapes and sizes of implants were obtained, reflecting variations in laryngeal anatomy. The implants enabled regular medialization of the entire extent of the free border of the vocal fold, including its posterior aspect. Medialization was considered adequate in all cases. Conclusions. This method proved to be a simple and efficient way to design individualized implants for medialization laryngoplasty, regardless of the size and shape of the larynx.Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior

A Comparative Study of Clinical vs. Digital Exophthalmometry Measurement Methods

Background. A number of orbital diseases may be evaluated based on the degree of exophthalmos, but there is still no gold standard method for the measurement of this parameter. In this study we compare two exophthalmometry measurement methods (digital photography and clinical) with regard to reproducibility and the level of correlation and agreement with measurements obtained with Computerized Tomography (CT) measurements. Methods. Seventeen patients with bilateral proptosis and 15 patients with normal orbits diseases were enrolled. Patients underwent orbital CT, Hertel exophthalmometry (HE) and standardized frontal and side facial photographs by a single trained photographer. Exophthalmometry measurements with HE, the digital photographs and axial CT scans were obtained twice by the same examiner and once by another examiner. Pearson correlation coefficient (PCC) was used to assess correlations between methods. Validity between methods was assessed by mean differences, interintraclass correlation coefficients (ICC’s), and Bland–Altman plots. Results. Mean values were significantly higher in the proptosis group (34 orbits) than in the normal group (30 orbits), regardless of the method. Within each group, mean digital exophthalmometry measurements (24.32 ± 5.17 mm and 18.62 ± 3.87 mm) were significantly greater than HE measurements (20.87 ± 2.53 mm and 17.52 ± 2.67 mm) with broader range of standard deviation. Inter-/intraclass correlation coefficients were 0.95/0.93 for clinical, 0.92/0.74 for digital, and 0.91/0.95 for CT measurements. Correlation coefficients between HE and CT scan measurements in both groups of subjects (r = 0.84 and r = 0.91, p<0.05) were greater than those between digital and CT scan measurements (r = 0.61 and r = 0.75, p<0.05). On the Bland–Altman plots, HE showed better agreement to CT measurements compared to the digital photograph method in both groups studied. Conclusions. Although photographic digital exophthalmometry showed strong correlation and agreement with CT scan measurements, it still performs worse than and is not as accurate as clinical Hertel exophthalmometry. This trail is registered with NCT01999790

Mucosal Leishmaniasis and Abnormalities on Computed Tomographic Scans of Paranasal Sinuses

Studies evaluating radiologic aspects, local complications, and structural alterations of the paranasal sinus in patients with mucosal leishmaniasis (ML) are lacking. The aim of this study was to analyze alterations of the paranasal sinuses in patients with ML by using computed tomography (CT) scans. This prospective study evaluated 26 patients in Brazil with ML from December 2008 through June 2009. All patients underwent CT scans of the paranasal sinuses. Paranasal thickening was observed in 25 patients (96%). Nasal perforation was observed in 17 patients (65%). Those patients who received re-treatment showed more abnormalities on CT scan than cured patients (P < 0.05). Complications of ML are not limited to the nasal mucosa but extend to the paranasal sinuses. Mucosal thickening, opacified air cells, bony remodeling, and bony thickening caused by inflammatory osteitis of the sinus cavity walls are CT findings suggestive of chronic sinusitis

Criteria for the diagnosis of extra nodal extension detected on radiological imaging in head and neck cancer:HNCIG international consensus recommendations

Extranodal extension of tumour on histopathology (pENE) is known to be a negative prognostic factor in head and neck cancer (HNC). Compelling evidence suggests that extranodal extension detected on radiological imaging (imaging-detected ENE; iENE) is also a negative prognostic factor. Furthermore, if iENE could be identified reliably before start of treatment, it could be used to guide treatment selection, as patients with iENE may be better managed with non-surgical approaches to avoid the toxicity and cost of trimodality therapy. There are many aspects of iENE that remain unresolved or which lack consensus – such as the criteria to best diagnose iENE and the associated terminology. The Head and Neck Cancer International Group conducted a five-round modified Delphi process with a group of 18 international radiology experts, representing 14 national clinical research groups. We generated consensus recommendations on the terminology and diagnostic criteria for iENE to harmonize clinical practice and research. These recommendations have been endorsed by 19 national organisations, representing 34 countries. We propose a new classification system to aid diagnosis, which was supported by the majority of participating experts over existing systems, and which will require validation in the future. Additionally, we have created an online educational resource for grading iENE.<br/

Criteria for the diagnosis of extra nodal extension detected on radiological imaging in head and neck cancer: HNCIG international consensus recommendations

Extranodal extension of tumour on histopathology (pENE) is known to be a negative prognostic factor in head and neck cancer (HNC). Compelling evidence suggests that extranodal extension detected on radiological imaging (imaging-detected ENE; iENE) is also a negative prognostic factor. Furthermore, if iENE could be identified reliably before start of treatment, it could be used to guide treatment selection, as patients with iENE may be better managed with non-surgical approaches to avoid the toxicity and cost of trimodality therapy. There are many aspects of iENE that remain unresolved or which lack consensus – such as the criteria to best diagnose iENE and the associated terminology. The Head and Neck Cancer International Group conducted a five-round modified Delphi process with a group of 18 international radiology experts, representing 14 national clinical research groups. We generated consensus recommendations on the terminology and diagnostic criteria for iENE to harmonize clinical practice and research. These recommendations have been endorsed by 19 national organisations, representing 34 countries. We propose a new classification system to aid diagnosis, which was supported by the majority of participating experts over existing systems, and which will require validation in the future. Additionally, we have created an online educational resource for grading iENE.<br/