- MeSH
- Optic Disk pathology MeSH
- Glaucoma diagnosis complications MeSH
- Humans MeSH
- Tomography, Optical Coherence utilization MeSH
- Retinal Ganglion Cells pathology MeSH
- Check Tag
- Humans MeSH
- Publication type
- Evaluation Study MeSH
Cieľ práce: Zhodnotiť prínos optickej koherentnej tomografie (OCT) v diagnostike foveálnej hypoplázie u detí. Materiál a metodika: Deti s foveálnou hypopláziou (FH) boli vyšetrované prístrojom RTVue Fourier – domain (FD) – OCT, softvérom – verzia 6.80 (Optovue Inc, Fremont, USA). Makulárna oblasť bola kvalitatívne vyšetrená jednotlivým horizontálnym skenom (1024 A-skenov/obraz). Hrúbka makuly bola zmeraná a kvantitatívne vyhodnotená automatickým rýchlym protokolom pre oblasť makuly MM5 (makulárna mapa 5x5 mm). Pre porovnanie sme vyšetrili kontrolnú skupinu detí. Výsledky: Kvalitatívne bol zhodnotený OCT obraz makuly a kvantitatívne vyhodnotená hrúbka a konfigurácia makuly u detí s foveálnou hypopláziou. Následne bolo zrealizované porovnanie OCT nálezov makuly so zdravými deťmi. OCT ukázalo redukciu foveálnej depresie, kontinuálne rozšírenie vnútorných vrstiev sietnice cez oblasť, v ktorej by mala byť zvyčajne umiestnená fovea. Pacienti s foveálnou hypopláziou mali hrubšiu centrálnu makulu a foveolu než deti v kontrolnej skupine. Záver: OCT v našom súbore pacientov potvrdilo konečnú diagnózu foveálnej hypoplázie. FD-OCT je neinvazívna a rýchla metóda nápomocná pri identifikácii retinálnej abnormality v diagnostike foveálnej hypoplázie u detí a môže byť užitočná pri diagnostike pacientov s nevysvetliteľným poklesom videnia.
Purpose: To evaluate the contribution of optical coherence tomography (OCT) in the diagnosis of foveal hypoplasia in children. Material and methods: Children with foveal hypoplasia (FH) were examinated with device RTVue Fourier – domain (FD) – OCT, software – version 6.8 (Optovue Inc., Fremont, USA). A qualitative examination of the macular area was performed with single horizontal scan (1024 A-scans/frame). Macular thickness was measured and evaluated quantitatively with an automatic fast macular area protocol MM5 (Macular Map 5x5 mm). A control group of children was used for comparison. Results: The quality was assessed with OCT image of the macula and quantitatively evaluated macular thickness and configuration in children with foveal hypoplasia. It was subsequently realized the comparison of macular OCT findings in healthy children. The OCT showed a reduction of foveal depression, continuous extension of the inner retinal layers through the area in which should be normally found fovea. Patients with foveal hypoplasia had thicker central macula and fovea than children in the control group. Conclusion: OCT in our group of patients confirmed the final diagnosis of foveal hypoplasia. FD-OCT is a noninvasive and quick method helpful in identifying retinal abnormalities in the diagnosis of foveal hypoplasia in children and may be useful in diagnosing patients with unexplained decrease in vision.
- Keywords
- foveální hypoplazie, fovea plana, foveální aplazie,
- MeSH
- Albinism MeSH
- Aniridia MeSH
- Child MeSH
- Fovea Centralis * abnormalities MeSH
- Humans MeSH
- Adolescent MeSH
- Retinal Diseases * diagnosis pathology congenital MeSH
- Tomography, Optical Coherence * methods statistics & numerical data MeSH
- Color Vision Defects MeSH
- Vision Disorders physiopathology MeSH
- Child, Preschool MeSH
- Visual Acuity physiology MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Child, Preschool MeSH
- Female MeSH
- Publication type
- Evaluation Study MeSH
- MeSH
- Optic Disk MeSH
- Glaucoma diagnosis complications MeSH
- Humans MeSH
- Tomography, Optical Coherence utilization MeSH
- Retinal Ganglion Cells pathology MeSH
- Check Tag
- Humans MeSH
- Publication type
- Evaluation Study MeSH
BACKGROUND: Glaucoma is a common causes of blindness. The associated elevation in intra ocular pressure leads to progressive degeneration of the optic nerve and resultant structural changes with functional failure of the visual field. Since, glaucoma is asymptomatic in the early stages and the associated vision loss is irreparable, its early detection and timely medical treatment is essential to prevent further visual damage. OBJECTIVE: This paper presents a novel method for glaucoma detection using digital fundus image and optical coherence tomography (OCT) image. METHOD: The first section focuses on the features such as cup to disc ratio (CDR) and the inferior superior nasal temporal (ISNT) ratio which were obtained from fundus images.The above features were used for classifying the normal and glaucoma condition using back propagation neural network (BPN) and Support Vector Machine (SVM) classifiers. In the second part of the article, features such as CDR and two novel features, cup depth and retinal thickness were obtained from the OCT image. These features were evaluated by the BPN and SVM classifier. RESULTS AND CONCLUSION: The combined features from fundus and OCT images were analyzed. The system proposed here is able to classify glaucoma automatically. The accuracy of BPN and SVM Classifiers was 90.76% and 96.92% respectively.
- MeSH
- Optic Disk diagnostic imaging pathology MeSH
- Fluorescein Angiography methods MeSH
- Glaucoma diagnostic imaging pathology MeSH
- Humans MeSH
- Multimodal Imaging methods MeSH
- Tomography, Optical Coherence methods MeSH
- Retina diagnostic imaging pathology MeSH
- Sensitivity and Specificity MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Keywords
- foveální hypoplazie, fovea plana, foveální aplazie,
- MeSH
- Albinism MeSH
- Aniridia MeSH
- Child MeSH
- Fovea Centralis * abnormalities MeSH
- Humans MeSH
- Adolescent MeSH
- Retinal Diseases * diagnosis pathology congenital MeSH
- Tomography, Optical Coherence * methods statistics & numerical data MeSH
- Color Vision Defects MeSH
- Vision Disorders physiopathology MeSH
- Child, Preschool MeSH
- Visual Acuity physiology MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Child, Preschool MeSH
- Female MeSH
- Publication type
- Evaluation Study MeSH
This paper is devoted to new optical methods, which are supposed to be used for liveness detection on fingers. First we describe the basics about fake finger use in fingerprint recognition process and the possibilities of liveness detection. Then we continue with introducing three new liveness detection methods, which we developed and tested in the scope of our research activities--the first one is based on measurement of the pulse, the second one on variations of optical characteristics caused by pressure change, and the last one is based on reaction of skin to illumination with different wavelengths. The last part deals with the influence of skin diseases on fingerprint recognition, especially on liveness detection.
- MeSH
- Dermatoglyphics * MeSH
- Skin Physiological Phenomena * MeSH
- Skin Diseases pathology MeSH
- Humans MeSH
- Fingers MeSH
- Death MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Autoři provedli 30 nemocným indikovaným k CT hrudníku pro podezření na nádorové onemocnění virtuální bronchoskopii (VB) a poté korelovali nálezy s flexibilní bronchoskopií (FB). s intrabronchiální lézí bylo 22 pacientů. V 10 případech byly leze vícečetné, jejich celkový počet byl 38. Nejprve autoři zhodnotili přesnost VB vztaženou na pacienta. Bylo dosaženo senzitivity 100 % a specificity 87,5 %. Poté byly jednotlivé bronchy rozděleny do skupin podle tíže postižení (stenóza, uzávěr) a kalibru (trachea a hlavní bronchy, lobární bronchy, segmentální a subsegmentální bronchy). Statisticky významný rozdíl mezi výsledkem VB a FB byl zjištěn pouze ve skupině segmentálnich a subsegmentálních bronchů, kde se vyskytlo 5 falešných pozitivit způsobených bronchiálním sekretem. V ostatních skupinách nebyl zaznamenán statisticky významný rozdíl mezi výsledky obou metod. Jediným falešně negativním nálezem byl drobný benigní polyp, který byl zjištěn u pacienta se správně určenou nádorovou stenózou v jiné lokalizaci. Neprojevil se tedy při hodnocení vztaženém na pacienta. Přes slibné výsledky nemůže být VB se submilimetrovou kolimací rovnocennou alternatívou FB. Hlavními limitacemi jsou nemožnost odlišení slizniční leze a odběru biologického materiálu. Lze ji ale s úspěchem využít u nemocných s kontraindikaci k FB nebo v případech, kdy je třeba hodnotit oblasti pomocí FB nezobrazitelné (např. za těsnými stenózami a uzávěry). Dále se může uplatnit při sledování bronchiálnich anastomóz po transplantaci plic, hodnocení průchodnosti stentů nebo při plánování intervenčních zákroků.
The authors performed virtual bronchoscopy (VB) in 30 patients indicated to CT examination of the chest for suspected tumor disease and subsequently compared the findings with flexible bronchoscopy (FB). There were 22 patients with intrabronchial lesion. Multiple intrabronchial lesions were present in 10 patients, their total number being 38. The authors first evaluated precision of VB in relation to the patient. The sensitivity of 100% and specificity of 87.5% were reached. Individual bronchi were than divided in groups according to degree of damage (stenosis, occlusion) and cali¬ ber (trachea and the main bronchi, lobar bronchi, segmental and subsegmental bronchi). A statistically significant difference between the result of VB and FB was detected only in the group of segmental and subsegmental bronchi, where five false cases of positivity caused by bronchial secrete were detected. No statistically significant difference was determined between the results of the two methods in the other groups. The only false-negative result concerned a minute benign polyp, which was detected in a patient with correctly determined tumor stenosis in other localization. Therefore, in the evaluation related per patient it did not become manifest. In spite of the promising results VB with submillimeter coUimation cannot be considered as an equal alternative to FB. The impossibility to differentiate mucous lesion and sampling of biological material are the main limitations. The method can be successfully used in patients with contraindications to FB or in cases, where some areas, which cannot be visualized by FB, should be evaluated (e.g. behind tight stenoses and occlusions). Moreover, it can be applied in monitoring of bronchial anastomoses after lung transplantation, evaluation of unobstructed stents and in planning of intervention operations.
BACKGROUND: Optical coherence tomography (OCT)-based studies of cardiac allograft vasculopathy (CAV) published thus far have focused mainly on frame-based qualitative analysis of the vascular wall. Full capabilities of this inherently 3-dimensional (3D) imaging modality to quantify CAV have not been fully exploited. METHODS: Coronary OCT imaging was performed at 1 month and 12 months after heart transplant (HTx) during routine surveillance cardiac catheterization. Both baseline and follow-up OCT examinations were analyzed using proprietary, highly automated 3D graph-based optimal segmentation software. Automatically identified borders were efficiently adjudicated using our "just-enough-interaction" graph-based segmentation approach that allows to efficiently correct local and regional segmentation errors without slice-by-slice retracing of borders. RESULTS: A total of 50 patients with paired baseline and follow-up OCT studies were included. After registration of baseline and follow-up pullbacks, a total of 356 ± 89 frames were analyzed per patient. During the first post-transplant year, significant reduction in the mean luminal area (p = 0.028) and progression in mean intimal thickness (p = 0.001) were observed. Proximal parts of imaged coronary arteries were affected more than distal parts (p < 0.001). High levels of LDL cholesterol (p = 0.02) and total cholesterol (p = 0.031) in the first month after HTx were the main factors associated with early CAV development. CONCLUSIONS: Our novel, highly automated 3D OCT image analysis method for analyzing intimal and medial thickness in HTx recipients provides fast, accurate, and highly detailed quantitative data on early CAV changes, which are characterized by significant luminal reduction and intimal thickness progression as early as within the first 12 months after HTx.
- MeSH
- Early Diagnosis MeSH
- Adult MeSH
- Image Interpretation, Computer-Assisted methods MeSH
- Coronary Angiography methods MeSH
- Middle Aged MeSH
- Humans MeSH
- Follow-Up Studies MeSH
- Coronary Artery Disease diagnostic imaging MeSH
- Tomography, Optical Coherence * MeSH
- Postoperative Complications diagnostic imaging MeSH
- Disease Progression MeSH
- Aged MeSH
- Heart Transplantation * MeSH
- Imaging, Three-Dimensional * MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Clinical Trial MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
BACKGROUND: Lipid-rich plaque covered by a thin fibrous cap (FC) has been identified as a frequent morphological substrate for the development of acute coronary syndrome. Optical coherence tomography (OCT) permits the identification and measurement of the FC. Near-infrared spectroscopy (NIRS) has been approved for detection of coronary lipids. AIMS: We aimed to assess the ability of detailed OCT analysis to identify coronary lipids, using NIRS as the reference method. METHODS: In total, 40 patients with acute coronary syndrome underwent imaging of a non-culprit lesion by both NIRS and OCT. For each segment, the NIRS-derived 4 mm segment with maximal lipid core burden index (maxLCBI4mm) was assessed. OCT analysis was performed using a semi-automated method including measurement of the fibrous cap thickness (FCT) of all detected fibroatheromas. Subsequent quantitative volumetric evaluation furnished FCT, FC surface area (FC SA), lipid arc, and FC (fibrous cap) volume data. OCT features of lipid plaques were compared with maxLCBI4mm. Predictors of maxLCBI4mm >400 was assessed by using univariable and multivariable analysis. RESULTS: OCT features (mean FCT, total FC SA, FC volume, maximal, mean, and total lipid arcs) strongly correlated with the maxLCBI4mm (p = 0.012 for the mean FCT, respectively p < 0.001 for all other aforementioned features). The strongest predictors of maxLCBI4mm >400 were the maximal (p = 0.002) and mean (p = 0.002) lipid arc, and total FC SA (p = 0.012). CONCLUSIONS: We found a strong correlation between the OCT-derived features and NIRS findings. Detailed OCT analysis may be reliably used for detection of the presence of coronary lipids.
- MeSH
- Acute Coronary Syndrome * diagnostic imaging MeSH
- Plaque, Atherosclerotic * diagnostic imaging MeSH
- Spectroscopy, Near-Infrared methods MeSH
- Ultrasonography, Interventional methods MeSH
- Coronary Vessels diagnostic imaging pathology MeSH
- Humans MeSH
- Lipids MeSH
- Coronary Artery Disease * diagnosis MeSH
- Tomography, Optical Coherence methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
