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> Disorders > Anatomical Abnormality > Myxoid Cyst

Myxoid Cyst

Myxoid Cysts: A Comprehensive Overview

Myxoid cysts are a type of benign, fluid-filled lesion that commonly occur on the fingers and toes.
These cysts are typically small, soft, and translucent, and can often cause discomfort or pain due to their location near nerves or tendons.
Myxoid cysts are believed to form from the degeneration of the joint capsule or tendon sheath, and they are frequently associated with osteoarthritis or trauma.
Accurate identification and management of these cysts is important to alleviate symptons and prevent recurrence.
This MeSH term provides a concise yet informative summary of the key characteristics and clinical relevance of myxoid cysts for researchers and clinicians.

Most cited protocols related to «Myxoid Cyst»

1
Comparative Analysis of Broadband and Standard OCT
Two 4 mm horizontal OCT scan sets were acquired (each consisting of 100 B-scans), first using the broadband light source (central wavelength 878.4 nm, 186.3 nm bandwidth) and then the standard source (central wavelength 860 nm, 53.7 nm bandwidth). This sequence was repeated a second time, for a total of four scans per eye. Switching between sources took approximately 5 min. Each scan was exported into ImageJ and a single registered average image was generated for each scan set as described above. Visual inspection and then quantitative mapping of the inner limiting membrane (ILM) contour22 (link) was done for each subject to confirm that their broadband and standard-source images were acquired from the same retinal location. It was estimated that the scans between sessions deviated by less than 50 μm in retinal location, which is the distance between two adjacent B scans.
To compare image quality achieved using the standard and broadband light sources, the peak-to-trough ratio and local contrast of five hyper-reflective retinal layers, ILM, external limiting membrane (ELM), inner segment (IS)/outer segment junction (OS) and two retinal pigment epithelium layers, were evaluated for all four averaged images. First, longitudinal reflectivity profiles (LRP)23 (link) were generated at three locations along each averaged scan: the foveal centre, 0.8 mm temporal to the fovea and 0.8 mm nasal to the fovea. Each LRP used for analysis was an average of the five surrounding A-scans at each of the three locations, so these were perpendicular to the total image. From the LRP the local contrast was computed for the above five layers of interest. We define local contrast as a normalised measure of the contrast of a reflective layer, as given by equation 2.
The signal of the neighbouring troughs for each layer of interest was computed as an average of the neighbouring lower-reflecting layers in the OCT image (using the absolute local minimum). For example, for the ILM, the neighbouring layer trough signal comes from the vitreous and either the outer nuclear layer for the foveal measurement, or the ganglion cell layer for the nasal and temporal measurements. For the ELM, the neighbouring layer trough signal comes from an average of the outer nuclear layer and the inner segment layer. The reported value of local contrast for each layer is an average of the measured contrast for the two averaged images for the broad-band and standard source imaging conditions.
The improvement in resolution was evaluated by comparing the full-width half-height (FWHH) of the ELM layer in the registered and averaged images generated by the standard and broadband light sources. Using ImageJ, five plot profiles, drawn perpendicular through the ELM in the temporal retina, were averaged together. The averaged profiles were fit to a Gaussian function in order to objectively compute FWHH for each of the two light sources. Resolution was computed from the average image created from one broadband scan set and one standard-source scan set for each subject.
Tanna H., Dubis A.M., Ayub N., Tait D.M., Rha J., Stepien K.E, & Carroll J. (2009). Retinal imaging using commercial broadband optical coherence tomography. The British Journal of Ophthalmology, 94(3), 372-376.
Publication 2009
Light Myxoid Cyst Nose Radionuclide Imaging Retina Retinal Pigment Epithelium Tissue, Membrane
2
Labeling and Visualizing Retinal Ganglion Cells
Ganglion cells were labeled by adding 4 mM Alexa Fluor 568 hydrazide (Invitrogen, Karlsruhe, Germany) to the intracellular solution during patch clamp experiments. After recording, the retina was fixed for 12–15 min with 4% paraformaldehyde in 0.1 M phosphate buffer (PB). The fixed tissue was incubated overnight at room temperature in a 1:500 anti-choline acetyltransferase antibody solution (Chemicon, Billerica, MA, USA) containing 1% Triton X-100 and 2% bovine serum albumin in PB. The tissue was subsequently washed for 30 min in PB and incubated for 2 h in 1:400 Alexa 488–conjugated secondary antibody (Invitrogen).
Confocal photomicrographs were taken with a Zeiss LSM 5 Pascal confocal microscope using a 40× oil immersion objective. Image contrast was adjusted using ImageJ (Abramoff et al., 2004 ).
Van Wyk M., Wässle H, & Taylor W.R. (2009). Receptive field properties of ON- and OFF-ganglion cells in the mouse retina. Visual neuroscience, 26(3), 297-308.
Publication 2009
alexa 568 Antibodies, Anti-Idiotypic Bos taurus Buffers Cells Choline O-Acetyltransferase Hydrazide Immunoglobulins Microscopy, Confocal Myxoid Cyst paraform Phosphates Photomicrography Protoplasm Retina Serum Albumin Submersion Tissues Triton X-100
3
Quantitative OCTA Analysis of Retinal Vasculature
Two graders (P.L.N. and A.E.F.) collaboratively chose scans from each time point (dark, light, and flicker) from the first experiment that fit the inclusion criteria: Q-score of 7 or greater, lack of shadowing and motion artifact, and capillary continuity. In the second experiment, we imaged patients only once at each time point (one dark-adapted and four dark-to-light transition time points) and all images met the inclusion criteria. Therefore, in the second experiment, we used a single image per patient at each time point to calculate the following OCTA parameters. Using the built-in AngioVue Analytics software (version 2017.1.0.151) with projection artifact removal (PAR), we segmented the SCP, MCP, and DCP as previously described (Figs. 1B, 1D).34 Briefly, the SCP was segmented from the internal limiting membrane (ILM) to 10 μm above the inner plexiform layer (IPL) to encompass the nerve fiber and ganglion cell layers. The MCP was segmented from 10 μm above to 30 μm below the IPL to encompass IPL. The DCP was segmented from 30 μm below the IPL to 10 μm below the outer plexiform layer (OPL) to encompass the OPL. For thresholding, we segmented the full retinal thickness OCTA from the ILM to 10 μm below the OPL (Fig. 1A).
We used AngioVue Analytics software to obtain parafoveal vessel density for the SCP, MCP, and DCP. The “parafovea” was defined as an annulus centered on the fovea with inner and outer ring diameters of 1 and 3 mm, respectively. Vessel density was calculated as the percentage of the parafovea occupied by retinal blood vessels (Fig. 2A).
We then exported the SCP, MCP, and DCP angiograms with the highest Q-score and least motion artifacts in the first experiment and all images from the second experiment into ImageJ (developed by Wayne Rasband, National Institutes of Health, Bethesda, MD; http://rsb.info.nih.gov/ij/index.html, in the public domain) to calculate the parafoveal adjusted flow index (AFI). AFI is an indirect and relative measure of flow velocity based on pixel intensity, which is related to flow velocity within a limited range in OCTA. Two independent graders (P.L.N. and A.E.F.) obtained these measurements through a global threshold as previously described (Figs 2B, 2C).35 (link),36 (link) We also calculated the vessel length density (VLD) for the SCP to eliminate the influence of larger arterioles and venules on the density measurement (Fig. 2D).37 (link),38 (link) For VLD, we binarized and skeletonized the parafoveal SCP angiogram and used the following equation to obtain VLD in units of mm−1: skeletonized vessel length (mm) / parafoveal area (mm2).
Nesper P.L., Lee H.E., Fayed A.E., Schwartz G.W., Yu F, & Fawzi A.A. (2019). Hemodynamic Response of the Three Macular Capillary Plexuses in Dark Adaptation and Flicker Stimulation Using Optical Coherence Tomography Angiography. Investigative Ophthalmology & Visual Science, 60(2), 694-703.
Publication 2019
Angiography Arterioles Blood Vessel Capillaries Cells Light Myxoid Cyst Nerve Fibers Patients Public Domain Radionuclide Imaging Retina Retinal Vessels Tissue, Membrane Venules
4
RNA Extraction from Oyster Tissues
Twenty-four adult oysters (3 years old) were sampled in July 2010 in Baie des Veys (Normandy, France). First, hemolymph was extracted from the adductor muscle using a 23-gauge needle attached to a 1-ml syringe, then gonad, gills, digestive gland, the posterior adductor muscle, labial palps, mantle and visceral ganglions were dissected. At this stage, pools of 6 individuals were randomly constituted for hemolymph and visceral ganglion samples. All samples were snap-frozen in liquid nitrogen, and stored at -80°C. Total RNA was extracted from individual tissues (3 female gonads, 3 male gonads, 4 gills, 4 digestive glands, 4 posterior adductor muscles, 4 labial palps, 4 mantles) or from pools of 6 individuals (4 pools of visceral ganglions and 3 pools of hemocytes) with Tri-Reagent kit (Sigma) and subsequently cleaned with Nucleospin RNA Clean-Up (Macherey Nagel) isolation columns. After the homogenisation of the N2 grinding powder in Tri-Reagent and the first centrifugation, the aqueous phase was extracted to directly isolate the total RNA on the column, as described by the manufacturer. Absence of trace genomic DNA was confirmed by gel electrophoresis. RNA concentrations were determined using a ND-1000 spectrophotometer (Nanodrop Technologies) at 260 nm, using the conversion factor 1 OD = 40 μg/ml RNA. RNA integrity was verified on an Agilent bioanalyzer using RNA 6000 Nano kits (Agilent Technologies), according to manufacturer's instructions, without consideration for the RNA Integrity Number (RIN) [49 (link)]. Indeed, in molluscan RNA, the co-migration of the 28S rRNA fragments with the 18S rRNA prevented us from using the RIN, thus only the absence of RNA degradation can be considered [50 -52 (link)]. A detailed description of the validation of RNA integrity in oysters is provided in Additional file 8. Samples were stored at -80°C until use.
Dheilly N.M., Lelong C., Huvet A, & Favrel P. (2011). Development of a Pacific oyster (Crassostrea gigas) 31,918-feature microarray: identification of reference genes and tissue-enriched expression patterns. BMC Genomics, 12, 468.
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Publication 2011
Adult Centrifugation Digestion Electrophoresis Fibrinogen Freezing Genome Gills Gonads Hemocytes Hemolymph isolation Lip Muscle, Back Muscle Tissue Myxoid Cyst Needles Nitrogen Ovary Oysters Powder RNA, Ribosomal, 18S RNA, Ribosomal, 28S RNA Degradation Syringes Testis Tissues
5
Amish Eye Study: Comprehensive Ophthalmic Examination
The clinical examination included an on-site ophthalmic examination, interview, and venipuncture. Examination data were recorded on examination forms and then entered directly into the Amish Eye Study database at the University of Miami. Data collection was standardized and included measurements taken by clinical research coordinators, ophthalmic technicians, and board-certified ophthalmologists in respective study sites. The examination included 1) name, age, date of birth, sex, address, parents’ and siblings’ names and addresses, family history of AMD, and the presence of any other eye diseases; 2) visual acuity, measured using a Snellen chart at 20 feet; 3) flash color fundus photography with a Topcon camera; 4) fundus examination by direct and indirect ophthalmos-copy; and 5) SD-OCT.
Spectral domain optical coherence tomography imaging at all sites was performed on two instruments: Cirrus OCT (Carl Zeiss Meditec Inc, Dublin, CA) and Spectralis (HRA + OCT; Heidelberg Engineering, Inc, Heidelberg, Germany) using macular cube scan protocols on both eyes. Images were acquired from both devices to take advantage of unique capabilities of each, automated quantification of features such as drusen by the Cirrus, and better visualization of the outer retinal substructures and choroid by the averaged scans of the Spectralis.
The Cirrus OCT scans were acquired using a macular cube protocol of 512 by 128 (128 B-scans and 512 A-scans per B-scan) over a 6 mm × 6 mm area centered on the fovea. The Spectralis acquisition protocol consisted of a 512 × 97 macular volume cube (97 B-scans and 512 A-scans per B-scan, ART of nine frames) over a 20 × 20° (6 mm × 6 mm) field centered on the fovea. Sub-retinal drusenoid deposits have been described to commonly be found outside the central macula, often along the arcades or even nasal to the optic nerve. Thus, sim ilar volume cube scans were also obtained with both devices centered on the optic nerve. Enhanced depth imaging was not obtained; however, the operators did orient the OCT image closer to the vitreous side to minimize distance from the zero delay line. Enhanced depth imaging imaging was not obtained to simplify procedures for the operator and patient and because the choroid was expected to be relatively thinner in this elderly population. Subfoveal choroidal thickness was measured using instrument calipers in both the Spectra-lis and Cirrus acquisitions. However, a priori, only the Spectralis-derived choroidal thickness was used for further analysis. Eyes in which the choroidal-scleral boundary could not be identified were marked “could not be graded” and were not included in the quantitative analysis. Choroidal thickness could not be graded in 96 (4%) eyes by the Spectralis and 211 (9%) eyes by the Cirrus.
To assess the reproducibility of our readings, we evaluated inter-and intragrader correlation by randomly selecting 240 eyes form 120 subjects and having 2 independent graders who were masked to the previous results of choroidal thickness measurements.
Automated quantification of drusen area, volume, and GA area within the macular cube was performed using the Cirrus 6.2 software RPE analysis segmentation algorithms.14 (link),24 (link) The automated GA segmentation was inspected, and segmentation errors were manually corrected to generate GA areas. Geographic atrophy on SD-OCT was identified as a region where choroidal hypertransmission was detected with RPE loss. Drusen measurements were analyzed in 3-mm and 5-mm rings centered on the fovea (Figure 1). Geographic atrophy area was measured in a 5-mm ring centered on the fovea.
Qualitative parameters such as the presence or absence of intra-and subretinal fluid (hyporeflective pockets of fluid), subretinal hyperreflective material, outer retinal tubulations, SDDs, and presence and axial extent of intraretinal hyperreflective foci (HRF) were analyzed by evaluating all the B-scans in SD-OCT volumes. Of note, subretinal hyperreflective material was diagnosed if there was any bright material between the outer border of the photoreceptors and the RPE (Figure 2). Because no fluorescein angiography was obtained, it was not possible to determine with certainty whether subretinal hyperreflective material corresponded to vitelliform-like accumulations or was related to an exudative process. If HRF were present, the innermost retinal layer to which the HRF extended was documented as LHRF (level of HRF). Retinal layers included in the LHRF classification were the photoreceptor segment (inner and outer) layers, outer nuclear layer, outer plexiform layer, inner nuclear layer, inner plexiform layer, and ganglion cell layer.25 (link) Qualitative assessment of the presence or absence of pigment epithelial detachment and the pigment epithelial detachment subtype based on internal reflectivity characteristics (drusenoid, fibrovascular, or serous) was assessed in each eye.26 (link),27 (link) Subretinal drusenoid deposits were identified as hyperreflective elevations above the RPE or in line with the photoreceptor outer segments. Our OCT scanning area for the detection of SDDs was more limited in the field of view (despite inclusion of both macula-centered and optic nerve–centered scans) (Figure 3) as compared to the recommended regions we scanned by IR or FAF imaging.28 (link)Blue-light FAF and IR imaging were performed using the Spectralis HRA + OCT with a 30° image centered on the fovea (Field 2) and the optic nerve position at the nasal edge of the image. Images with poor quality because of focus, exposure, or artifacts were excluded from the study analysis. All images were analyzed by a trained, certified, senior Doheny Image Reading Center grader. The OCT data from the two devices were graded separately in a masked fashion to identify any discrepancies in assessment between instruments.
Color fundus photographs were evaluated for the presence, number, and size of drusen, as well as for pigment alterations. The diagnosis of AMD in an eye was determined according to the Beckman classification,29 (link) which requires a minimum of five mediumsized drusen (≥63 μm) on a color fundus photograph. Eyes with no abnormalities, only small hard drusen, or fewer than five medium drusen were considered to be unaffected.
NITTALA M.G., SONG Y.E., SARDELL R., ADAMS L.D., PAN S., VELAGA S.B., HORST V., DANA D., CAYWOOD L., LAUX R., FUZZELL D., FUZZELL S., SCOTT W.K., COOKE BAILEY J.N., IGO RP J.r., HAINES J., PERICAK-VANCE M.A., SADDA S.R, & STAMBOLIAN D. (2019). Baseline Spectral Domain Optical Coherence Tomography Characteristics of Age-Related Macular Degeneration. Retina (Philadelphia, Pa.), 39(8), 1540-1550.
Publication 2019
Aged Amish Asian Persons Atrophy Cells Childbirth Choroid Diagnosis Eye Abnormalities Eye Disorders Fluorescein Angiography Foot Geographic Atrophy Gonadorelin Light Macula Lutea Medical Devices Myxoid Cyst Nose Ophthalmologists Optic Nerve Parent Patients Photoreceptor Cells Physical Examination Pigmentation Reading Frames Retina Retinal Pigment Epithelial Detachment Sclera SDDS Serum Sibling Sub-Retinal Fluid Tomography, Optical Coherence Venipuncture Visual Acuity

Most recents protocols related to «Myxoid Cyst»

1
Gut Microbiome Extraction from Larvae
To ensure the gut bacteria were in a relatively stable state, the S. frugiperda larvae were transferred to new centrifuge tubes and starved for 24 h in a natural environment. After all materials were prepared, dissections were performed on an ultra-clean bench. First, beakers were prepared with sterile water and absolute ethanol. Larvae were removed from centrifuge tubes, soaked in absolute ethanol for 90 s, and then blotted on filter paper. Larvae were then washed three times with sterile water, blotted dry, and placed in petri dishes. Under a stereomicroscope, the head of a larva was held with pointed tweezers, and medical scissors were used to cut along the abdomen below the mouth. Ganglion, salivary glands, martensitic ducts, fat bodies, and other organs were carefully removed. Then, the intestine was completely removed, placed in a sterile centrifuge tube, quickly frozen with liquid nitrogen, and stored at −80 °C.
Wang Y.P., Liu X., Yi C.Y., Chen X.Y., Liu C.H., Zhang C.C., Chen Q.D., Chen S., Liu H.L, & Pu D.Q. (2023). The Adaptive Evolution in the Fall Armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) Revealed by the Diversity of Larval Gut Bacteria. Genes, 14(2), 321.
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Publication 2023
Abdominal Cavity ARID1A protein, human Bacteria Dissection Ethanol Fat Body Freezing Head Hyperostosis, Diffuse Idiopathic Skeletal Intestines Larva Martensite Myxoid Cyst Nitrogen Oral Cavity Salivary Glands Sterility, Reproductive
2
Automated Retinal Layer Segmentation in Optic Nerve and Macular OCT
Both the optic nerve head (ONH) and macular OCT images are analysed with the automatic OCT layer segmentation algorithm (Retinal Image Analysis Lab, Iowa Institute for Biomedical Imaging, Iowa City, Iowa, USA).37–39 (link) The accuracy and reproducibility of the Iowa Reference Algorithms have been reported in patients with diabetic macular oedema and in healthy volunteers.40 41 (link) The feasibility has also been demonstrated in Asian populations with Iowa Reference Algorithms.42 (link) In this study, the following pipeline will be employed. First, 10 retinal layer (11 boundary) segmentation of an OCT image is obtained on both ONH and macular OCT images (figure 11), including (1) retinal nerve fibre layer (RNFL); (2) ganglion cell layer (GCL); (3) inner plexiform layer (IPL); (4) inner nuclear layer (INL); (5) outer plexiform layer (OPL); (6) outer nuclear layer (ONL); (7) photoreceptor inner/outer segments (IS/OS); (8) inner/outer segment junction to inner boundary of outer segment photoreceptor/retinal pigment epithelium complex (IS/OSJ to IB_RPE); (9) outer segment photoreceptor/retinal pigment epithelium complex (OPR); (10) retinal pigment epithelium (RPE).
Second, for macular OCT images, mean and standard division of retinal thickness of 10 retinal layers are calculated within nine regions including the foveal subfield, as well as the inner and outer rings of a standard Early Treatment Diabetic Retinopathy Study (ETDRS) grid (figure 12).
At last, for ONH OCT images, mean and SD of retinal thickness of 10 retinal layers are calculated within six regions divided by ellipse grid (figure 13).
Furthermore, fundus photography images are used to identify retinal lesions (eg, (retinal nerve fibre layer) RNFL defects) and to perform automatic segmentation and quantitative measurement of retinal vessels and evaluating optic disc appearance in the posterior pole.
Sun J., Hui Y., Li J., Zhao X., Chen Q., Li X., Wu N., Xu M., Liu W., Li R., Zhao P., Wu Y., Xing A., Shi H., Zhang S., Liang X., Wang Y., Lv H., Wu S, & Wang Z. (2023). Protocol for Multi-modality MEdical imaging sTudy bAsed on KaiLuan Study (META-KLS): rationale, design and database building. BMJ Open, 13(2), e067283.
Publication 2023
Asian Persons Cells Diabetic Retinopathy Edema, Macular Epithelial Attachment Healthy Volunteers Macula Lutea Myxoid Cyst Nerve Fibers Optic Disk Patients Photoreceptor Cells Population Group Retina Retinal Pigment Epithelium Retinal Pigments Retinal Vessels
3
Quantifying Retinal Microvascular Changes
One high-quality OCTA image per retinal region and gas condition was selected for analysis. High-quality images were defined as those with the fewest artifacts (including motion and segmentation artifacts) and highest signal strength. The superficial and deep retinal layers of the macula and temporal macula were extracted using the commercially available manufacturer software (PlexElite; Carl Zeiss Meditec). The superficial retinal layer included the nerve fiber layer, ganglion cell layer, and the inner nuclear layer. The deep retinal layer included the outer plexiform layer and less than 33% of the outer nuclear layer. Projection artifacts were excluded using the manufacturer software (PlexElite; Carl Zeiss Meditec).
The radial peripapillary capillaries were extracted using the maximum pixel projection customized slab setting with one boundary of the customized slab set to the inner limiting membrane (ILM) and the other displaced 75 µm below the ILM. The superficial 75 µm was used because the radial peripapillary capillaries were most visible and continuous at this depth in our case.29 (link)
The extracted vessel slabs were analyzed using a previously validated software that computed the apparent vessel skeleton density (VSD).30 (link),31 (link) In brief, VSD is a linear measure of vessel length computed as the count of pixels representing vessels (after the OCTA image binarization and skeletonization) divided by the total number of pixels in the image. The software was modified for assessing SS-OCTA images and to coregister images from the different gas conditions. Nonoverlapping regions were excluded from the analysis. In addition, all noncapillary vessels (e.g., large caliber retinal arteries, veins, arterioles and venules) as well as their corresponding negative spaces were excluded from the analysis.18 (link) Anatomic regions known to be characterized by nonperfused OCTA signals (such as foveal avascular zone and disc region) were also excluded (Fig. 2).
The choriocapillaris images were also extracted from the macula and temporal macula scans. The Multilayer Segmentation algorithm version 0.7 (PlexElite; Carl Zeiss Meditec) was used to perform choriocapillaris segmentation, which was defined as a 16-µm-thick slab with its anterior boundary located 4 µm beneath Bruch's membrane.32 (link) En face choriocapillaris images were generated using maximum-intensity projection and projection artifact removal.33 (link) Flow deficit density (FDD) and mean flow deficit sizes (MFDSs) were computed for the choriocapillaris images using custom software. The flow deficits (FDs) were segmented from compensated choriocapillaris OCTA en face images as previously described.34 (link) Briefly, pixels were automatically clustered into different groups using the fuzzy C-means approach, and the cluster of pixels with the lowest intensity values was segmented as FDs. With segmented FDs, the choriocapillaris FDD and MFDS (µm2) were calculated for the entire scan. The FDD was defined as the percentage of pixels representing FDs relative to the whole scan, and the MFDS was defined as the average size of all individual FDs in the whole scan.
Ashimatey B.S., Zhou X., Chu Z., Alluwimi M., Wang R.K, & Kashani A.H. (2023). Variability of Vascular Reactivity in the Retina and Choriocapillaris to Oxygen and Carbon Dioxide Using Optical Coherence Tomography Angiography. Investigative Ophthalmology & Visual Science, 64(2), 9.
Publication 2023
Arterioles Blood Vessel Body Regions Bruch Membrane Capillaries Cells Choriocapillaris Face Macula Lutea Myxoid Cyst Nerve Fibers Radionuclide Imaging Retina Retinal Arteries, Central Skeleton Tissue, Membrane Veins Venules
4
Ophthalmological Evaluation for Dominant Optic Atrophy
A complete ophthalmological evaluation was performed on all patients during each visit. Baseline and final VA were assessed using the decimal scale. Low vision was defined as a VA ≤ 0.3. Colour vision was assessed with the Farnsworth-Munsell 100 Hue test, and intraocular pressure was measured with the iCare TA01i tonometer. If there were associated systemic symptoms, these were included in the evaluation and the patients classified as DOA plus.
Cirrus HD-OCT (Carl Zeiss Meditec, Dublin, CA, USA) imaging was obtained from all patients, comparing the first and last visit reliable images. Mean RNFL and temporal sector thickness were examined, as well as the mean thickness of the ganglion cell layer. We also measured the central macular thickness. These data were compared with our own pediatric patient database. Visual field testing was performed on the cooperative patients using the 24-2 Humphrey test. At least two visual fields with the same defect were needed to confirm a defect. Optomap readings were obtained for 11 patients with the Optos Daytona Digital Retinal Scanner.
For the statistical analysis, the right eye of each patient was randomly selected. RNFL and GCL thicknesses were compared between the control participants and the patients with DOA using the chi-squared non-parametric test.
Arruti N., Rodríguez-Solana P., Nieves-Moreno M., Guerrero-Carretero M., del Pozo Á., Montaño V.E., Santos-Simarro F., Rikeros-Orozco E., Delgado-Mora L., Vallespín E, & Noval S. (2023). OPA1 Dominant Optic Atrophy: Diagnostic Approach in the Pediatric Population. Current Issues in Molecular Biology, 45(1), 465-478.
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Publication 2023
Color Vision Fingers Low Vision Macula Lutea Myxoid Cyst Patients Retina Tonometry, Ocular
5
Abalone Organ Tissue Collection
Ten Pacific abalone of both sexes were sacrificed to collect different organ tissues. The collected tissues were: cerebral ganglion (CG), branchial ganglion (BG), pleuropedal ganglion (PPG), testis (TES), ovary (OVR), digestive gland (DG), heart (HRT), hemocyte (HCY), gill (GIL), mantle (MNT), and muscle (MUS).
Sukhan Z.P., Cho Y., Hossen S., Lee W.K, & Kho K.H. (2023). Identification and Characterization of Hdh-FMRF2 Gene in Pacific Abalone and Its Possible Role in Reproduction and Larva Development. Biomolecules, 13(1), 109.
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Publication 2023
Digestive System Gills Heart Hemocytes Muscle Tissue Myxoid Cyst Ovary Testis Tissues

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More about "Myxoid Cyst"

Myxoid cysts, also known as mucous cysts or ganglion cysts, are a type of benign, fluid-filled lesion that commonly occur on the fingers and toes.
These cysts are typically small, soft, and translucent, and can often cause discomfort or pain due to their location near nerves or tendons.
Myxoid cysts are believed to form from the degeneration of the joint capsule or tendon sheath, and they are frequently associated with osteoarthritis or trauma.
Accurate identification and management of these cysts is important to alleviate symtoms and prevent recurrence.
Myxoid cysts are a type of ganglion cyst, which are the most common soft tissue masses of the hand and wrist.
Ganglion cysts are filled with a thick, sticky fluid and can occur in various locations, including the dorsum of the wrist, the palmar aspect of the wrist, and the fingers.
Myxoid cysts are a specific type of ganglion cyst that are characterized by a gelatinous, mucin-rich fluid.
These cysts can be evaluated and managed using various imaging modalities, such as ultrasonography (Cirrus HD-OCT) and magnetic resonance imaging (MRI).
Histological analysis of the cyst contents, using techniques like transmission electron microscopy (Tecnai G2 Spirit), can also provide valuable insights into the underlying pathology.
Treatment options for myxoid cysts include conservative management, such as observation, aspiration, or intralesional steroid injection, as well as surgical excision.
The choice of treatment depends on factors like the size, location, and symptoms of the cyst.
In some cases, recurrence of the cyst after treatment is a common challenge, and further intervention may be necessary.
Researchers and clinicians studying myxoid cysts may utilize a variety of laboratory techniques and equipment, such as the Nanoject injector for precise fluid delivery, the Dihydroethidium stain for visualizing cellular processes, and the Leica EM UC7 ultramicrotome for preparing samples for electron microscopy.
The PrimeScript™ RT reagent Kit with gDNA Eraser may be used for RNA extraction and cDNA synthesis, while RNAlater can be employed for preserving RNA integrity in tissue samples.
By understanding the key features, pathogenesis, and management strategies for myxoid cysts, researchers and clinicians can provide better care for patients affected by these common soft tissue lesions.