Understanding Patterns of Preserved Retinal Ganglion Cell Layer in Advanced Glaucoma as seen with OCT.

PRECIS: Using OCT, eyes with advanced glaucoma were found to have a wide range of patterns of damage that were consistent with the natural history of progression based upon a model of macular progression. PURPOSE: To understand the patterns of preserved retinal ganglion cells in eyes with advanced glaucoma using OCT and a model of progression of the central macula. METHODS: OCT GCL thickness was measured in 94 eyes with advanced glaucoma, defined as glaucomatous eyes with a 24-2 MD (mean deviation) worse than -12 dB. A commercial report supplied the GCL thickness in 6 sectors of the thick, donut-shaped GCL region around the fovea. For each eye, the 6 sectors were coded as green (within normal limits, WNL), yellow (≤5th, ≥1st percentile), or red (<1st percentile). RESULTS: In all 94 eyes, one or more of the 6 sectors of the donut were abnormal (red or yellow), while all 6 sectors were red in 52 (55%) of the eyes. On the other hand, 33 eyes had one or more sectors WNL (green). While the pattern of donut damage varied widely across these 33 eyes, 61 of the 66 hemiretinas were consistent with a temporal-to-nasal progression of damage within each hemiretina as predicted by our model. CONCLUSION: All eyes with advanced glaucoma had damage to the critically important central, donut-shaped GCL region. This region showed a wide range of patterns of damage, but these patterns were consistent with the natural history of progression based upon a model of macular progression. These results have implications for the clinical identification of macular progression, as well as for inclusion criteria for clinical trials seeking to preserve central macular function.

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection.

Purpose: To develop and evaluate a deep learning (DL) model to assess fundus photograph quality, and quantitatively measure its impact on automated POAG detection in independent study populations. Methods: Image quality ground truth was determined by manual review of 2815 fundus photographs of healthy and POAG eyes from the Diagnostic Innovations in Glaucoma Study and African Descent and Glaucoma Evaluation Study (DIGS/ADAGES), as well as 11,350 from the Ocular Hypertension Treatment Study (OHTS). Human experts assessed a photograph as high quality if of sufficient quality to determine POAG status and poor quality if not. A DL quality model was trained on photographs from DIGS/ADAGES and tested on OHTS. The effect of DL quality assessment on DL POAG detection was measured using area under the receiver operating characteristic (AUROC). Results: The DL quality model yielded an AUROC of 0.97 for differentiating between high- and low-quality photographs; qualitative human review affirmed high model performance. Diagnostic accuracy of the DL POAG model was significantly greater (P < 0.001) in good (AUROC, 0.87; 95% CI, 0.80-0.92) compared with poor quality photographs (AUROC, 0.77; 95% CI, 0.67-0.88). Conclusions: The DL quality model was able to accurately assess fundus photograph quality. Using automated quality assessment to filter out low-quality photographs increased the accuracy of a DL POAG detection model. Translational Relevance: Incorporating DL quality assessment into automated review of fundus photographs can help to decrease the burden of manual review and improve accuracy for automated DL POAG detection.

Vomiting after intrathecal chemotherapy under anesthesia in pediatric patients with hematologic cancers: A cohort study.

INTRODUCTION: Despite preventive strategies, vomiting is an adverse event affecting patients with cancer. However, literature on the incidence and risk factors for vomiting in pediatric patients with cancer are scarce. AIM: To assess the incidence and risk factors for vomiting within 24 h and goodness of fit for the Eberhart score in pediatric patients with hematologic cancers after receiving intrathecal chemotherapy under deep sedation. METHODS: This prospective cohort study included patients under 20 years of age with hematologic cancers who were scheduled to undergo intrathecal chemotherapy under anesthesia. The primary outcome was the occurrence of vomiting within 24 h after the end of anesthesia. Sociodemographic and procedure data and underlying diseases were collected. Patients were monitored during the procedure, in the postanesthesia care unit, and the day after (by phone call). RESULTS: A total of 139 patients were included, and the incidence of vomiting was 30.9% within 24 h after intrathecal chemotherapy under anesthesia, with 90.7% of vomiting prior to 6 h. Prophylactic ondansetron was administered prior to the procedure to 45.3% of patients. Risk factors for vomiting were female gender (hazard ratio: 2.47, 95% confidence interval: 1.35-4.53, p: .003), consolidation phase of treatment (hazard ratio: 2.16, 95% confidence interval: 1.10-4.24, p: .025), and history of kinetosis (hazard ratio: 2.49, 95% confidence interval: 1.31-4.70, p: .005). Incidence of vomit was higher than estimated by the Eberhart score distribution (observed incidence in patients with a score of zero: 33.3%; with a score of one: 28.8%; with a score of two: 60%). CONCLUSION: A high incidence of vomiting was observed within 24 h after intrathecal chemotherapy under propofol deep sedation. Risk factors for this outcome were established (being female, consolidation phase of treatment, and previous kinetosis), and evidence suggested that the Eberhart score was not suitable for the studied population.

Prognostic Value of the Intermediate-risk Feature in Men with Favorable Intermediate-risk Prostate Cancer: Implications for Active Surveillance.

Background: Guidelines suggest that active surveillance (AS) may be considered for select patients with favorable intermediate-risk (fIR) prostate cancer. Objective: To compare the outcomes between fIR prostate cancer patients included by Gleason score (GS) or prostate-specific antigen (PSA). Most patients are classified with fIR disease due to either a 3 + 4 = 7 GS (fIR-GS) or a PSA level of 10-20 ng/ml (fIR-PSA). Previous research suggests that inclusion by GS 7 may be associated with worse outcomes. Design setting and participants: We conducted a retrospective cohort study of US veterans diagnosed with fIR prostate cancer from 2001 to 2015. Outcome measurements and statistical analysis: We compared the incidence of metastatic disease, prostate cancer-specific mortality (PCSM), all-cause mortality (ACM), and receipt of definitive treatment between fIR-PSA and fIR-GS patients managed with AS. Outcomes were compared with those of a previously published cohort of patients with unfavorable intermediate-risk disease using cumulative incidence function and Gray's test for statistical significance. Results and limitations: The cohort included 663 men; 404 had fIR-GS (61%) and 249 fIR-PSA (39%). There was no evidence of difference in the incidence of metastatic disease (8.6% vs 5.8%, p = 0.77), receipt of definitive treatment (77.6% vs 81.5%, p = 0.43), PCSM (5.7% vs 2.5%, p = 0.274), and ACM (16.8% vs 19.1%, p = 0.14) between the fIR-PSA and fIR-GS groups at 10 yr. On multivariate regression, unfavorable intermediate-risk disease was associated with higher rates of metastatic disease, PCSM, and ACM. Limitations included varying surveillance protocols. Conclusions: There is no evidence of difference in oncological and survival outcomes between men with fIR-PSA and fIR-GS prostate cancer undergoing AS. Thus, presence of GS 7 disease alone should not exclude patients from consideration of AS. Shared decision-making should be utilized to optimize management for each patient. Patient summary: In this report, we compared the outcomes of men with favorable intermediate-risk prostate cancer in the Veterans Health Administration. We found no significant difference between survival and oncological outcomes.

The Use of Retinal Microvascular Function and Telomere Length in Age and Blood Pressure Prediction in Individuals with Low Cardiovascular Risk.

Ageing represents a major risk factor for many pathologies that limit human lifespan, including cardiovascular diseases. Biological ageing is a good biomarker to assess early individual risk for CVD. However, finding good measurements of biological ageing is an ongoing quest. This study aims to assess the use retinal microvascular function, separate or in combination with telomere length, as a predictor for age and systemic blood pressure in individuals with low cardiovascular risk. In all, 123 healthy participants with low cardiovascular risk were recruited and divided into three groups: group 1 (less than 30 years old), group 2 (31-50 years old) and group 3 (over 50 years old). Relative telomere length (RTL), parameters of retinal microvascular function, CVD circulatory markers and blood pressure (BP) were measured in all individuals. Symbolic regression- analysis was used to infer chronological age and systemic BP measurements using either RTL or a combination of RTL and parameters for retinal microvascular function. RTL decreased significantly with age (p = 0.010). There were also age-related differences between the study groups in retinal arterial time to maximum dilation (p = 0.005), maximum constriction (p = 0.007) and maximum constriction percentage (p = 0.010). In the youngest participants, the error between predicted versus actual values for the chronological age were smallest in the case of using both retinal vascular functions only (p = 0.039) or the combination of this parameter with RTL (p = 0.0045). Systolic BP was better predicted by RTL also only in younger individuals (p = 0.043). The assessment of retinal arterial vascular function is a better predictor than RTL for non-modifiable variables such as age, and only in younger individuals. In the same age group, RTL is better than microvascular function when inferring modifiable risk factors for CVDs. In older individuals, the accumulation of physiological and structural biological changes makes such predictions unreliable.

Survival analysis of recurrent squamous cell carcinoma of the lower oral cavity treated by surgery.

The aim of the present study was to investigate the survival of individuals with squamous cell carcinoma of the lower oral cavity who underwent surgical treatment and experienced recurrence, considering the site of the recurrent disease. A retrospective longitudinal study was conducted, comparing the survival rates of patients with and without recurrence and considering the site of recurrence (local, regional, distant). Statistical analysis was performed with SPSS and a p-value ≤ 0.05 was considered significant. The sample comprised 150 patients, 59 (39.3%) of whom experienced recurrence. Local recurrence occurred in 35 patients (23.4%), regional recurrence in 17 (11.3%), and distant recurrence in seven (4.6%). The average survival of participants with local, regional, and distant recurrence was 12, five, and two months, respectively. Patients with recurrent disease had worse survival than those who did not (P < 0.001). Patients with local recurrence had better survival than those with regional/distant recurrence (P = 0.011). All patients with regional and distant recurrence had deceased by the last follow-up. In conclusion, patients with local recurrence of squamous cell carcinoma of the lower oral cavity treated by surgery have a better survival rate than those with regional and distant recurrence. Local recurrence poses the possibility of curative salvage therapy.

Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT.

PURPOSE: To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images. DESIGN: Evaluation of a diagnostic technology. PARTICIPANTS: A total of 2408 10-2 visual field (VF) SD OCT pairs and 2999 24-2 VF SD OCT pairs collected from 645 healthy and glaucoma subjects (1222 eyes). METHODS: Deep learning models were trained on thickness maps from Spectralis macula SD OCT to estimate 10-2 and 24-2 VF mean deviation (MD) and pattern standard deviation (PSD). Individual and combined DL models were trained using thickness data from 6 layers (retinal nerve fiber layer [RNFL], ganglion cell layer [GCL], inner plexiform layer [IPL], ganglion cell-IPL [GCIPL], ganglion cell complex [GCC] and retina). Linear regression of mean layer thicknesses were used for comparison. MAIN OUTCOME MEASURES: Deep learning models were evaluated using R2 and mean absolute error (MAE) compared with 10-2 and 24-2 VF measurements. RESULTS: Combined DL models estimating 10-2 achieved R2 of 0.82 (95% confidence interval [CI], 0.68-0.89) for MD and 0.69 (95% CI, 0.55-0.81) for PSD and MAEs of 1.9 dB (95% CI, 1.6-2.4 dB) for MD and 1.5 dB (95% CI, 1.2-1.9 dB) for PSD. This was significantly better than mean thickness estimates for 10-2 MD (0.61 [95% CI, 0.47-0.71] and 3.0 dB [95% CI, 2.5-3.5 dB]) and 10-2 PSD (0.46 [95% CI, 0.31-0.60] and 2.3 dB [95% CI, 1.8-2.7 dB]). Combined DL models estimating 24-2 achieved R2 of 0.79 (95% CI, 0.72-0.84) for MD and 0.68 (95% CI, 0.53-0.79) for PSD and MAEs of 2.1 dB (95% CI, 1.8-2.5 dB) for MD and 1.5 dB (95% CI, 1.3-1.9 dB) for PSD. This was significantly better than mean thickness estimates for 24-2 MD (0.41 [95% CI, 0.26-0.57] and 3.4 dB [95% CI, 2.7-4.5 dB]) and 24-2 PSD (0.38 [95% CI, 0.20-0.57] and 2.4 dB [95% CI, 2.0-2.8 dB]). The GCIPL (R2 = 0.79) and GCC (R2 = 0.75) had the highest performance estimating 10-2 and 24-2 MD, respectively. CONCLUSIONS: Deep learning models improved estimates of functional loss from SD OCT imaging. Accurate estimates can help clinicians to individualize VF testing to patients.

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms.

Purpose: To compare performance of independently developed deep learning algorithms for detecting glaucoma from fundus photographs and to evaluate strategies for incorporating new data into models. Methods: Two fundus photograph datasets from the Diagnostic Innovations in Glaucoma Study/African Descent and Glaucoma Evaluation Study and Matsue Red Cross Hospital were used to independently develop deep learning algorithms for detection of glaucoma at the University of California, San Diego, and the University of Tokyo. We compared three versions of the University of California, San Diego, and University of Tokyo models: original (no retraining), sequential (retraining only on new data), and combined (training on combined data). Independent datasets were used to test the algorithms. Results: The original University of California, San Diego and University of Tokyo models performed similarly (area under the receiver operating characteristic curve = 0.96 and 0.97, respectively) for detection of glaucoma in the Matsue Red Cross Hospital dataset, but not the Diagnostic Innovations in Glaucoma Study/African Descent and Glaucoma Evaluation Study data (0.79 and 0.92; P < .001), respectively. Model performance was higher when classifying moderate-to-severe compared with mild disease (area under the receiver operating characteristic curve = 0.98 and 0.91; P < .001), respectively. Models trained with the combined strategy generally had better performance across all datasets than the original strategy. Conclusions: Deep learning glaucoma detection can achieve high accuracy across diverse datasets with appropriate training strategies. Because model performance was influenced by the severity of disease, labeling, training strategies, and population characteristics, reporting accuracy stratified by relevant covariates is important for cross study comparisons. Translational Relevance: High sensitivity and specificity of deep learning algorithms for moderate-to-severe glaucoma across diverse populations suggest a role for artificial intelligence in the detection of glaucoma in primary care.

Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The agreement between Pegasus and gold standard was 0.715, whereas the highest ophthalmologist agreement with the gold standard was 0.613. Furthermore, the high sensitivity of Pegasus makes it a valuable tool for screening patients with glaucomatous optic neuropathy. PURPOSE: The purpose of this study was to evaluate the performance of a deep learning system for the identification of glaucomatous optic neuropathy. MATERIALS AND METHODS: Six ophthalmologists and the deep learning system, Pegasus, graded 110 color fundus photographs in this retrospective single-center study. Patient images were randomly sampled from the Singapore Malay Eye Study. Ophthalmologists and Pegasus were compared with each other and to the original clinical diagnosis given by the Singapore Malay Eye Study, which was defined as the gold standard. Pegasus' performance was compared with the "best case" consensus scenario, which was the combination of ophthalmologists whose consensus opinion most closely matched the gold standard. The performance of the ophthalmologists and Pegasus, at the binary classification of nonglaucoma versus glaucoma from fundus photographs, was assessed in terms of sensitivity, specificity and the area under the receiver operating characteristic curve (AUROC), and the intraobserver and interobserver agreements were determined. RESULTS: Pegasus achieved an AUROC of 92.6% compared with ophthalmologist AUROCs that ranged from 69.6% to 84.9% and the "best case" consensus scenario AUROC of 89.1%. Pegasus had a sensitivity of 83.7% and a specificity of 88.2%, whereas the ophthalmologists' sensitivity ranged from 61.3% to 81.6% and specificity ranged from 80.0% to 94.1%. The agreement between Pegasus and gold standard was 0.715, whereas the highest ophthalmologist agreement with the gold standard was 0.613. Intraobserver agreement ranged from 0.62 to 0.97 for ophthalmologists and was perfect (1.00) for Pegasus. The deep learning system took ∼10% of the time of the ophthalmologists in determining classification. CONCLUSIONS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The high sensitivity of Pegasus makes it a valuable tool for screening patients with glaucomatous optic neuropathy. Future work will extend this study to a larger sample of patients.

Simultaneous Papillary Carcinoma in Thyroglossal Duct Cyst and Thyroid.

Thyroglossal duct cyst (TDC) is a cystic expansion of a remnant of the thyroglossal duct tract. Carcinomas in the TDC are extremely rare and are usually an incidental finding after the Sistrunk procedure. In this report, an unusual case of a 36-year-old woman with concurrent papillary thyroid carcinoma arising in the TDC and on the thyroid gland is presented, followed by a discussion of the controversies surrounding the possible origins of a papillary carcinoma in the TDC, as well as the current management options.

Candidate gene analysis of pharmacodynamic targets for antipsychotic dosage.

AIM: In order to administer antipsychotic medication with the most beneficial outcome, the appropriate drug and dose needs to be identified. Though often not considered in pharmacogenetic studies, dosage plays an important role in treatment outcome. This study set out to analyze the association between 109 SNPs and antipsychotic dosage among schizophrenia patients. In a previous study, we tested 134 SNPs in regards to antipsychotic dosage. In the current study, we tested additional markers in the same candidate genes that we investigated in the previous study to confirm our previous findings. METHODS: We included 263 participants with schizophrenia spectrum disorders between the ages of 18-75. Each participant was assessed cross-sectionally to collect clinical and antipsychotic treatment information through a semi-structured interview. The antipsychotic dosage for each individual was standardized according to chlorpromazine equivalents (CPZe), defined daily dose, and the percentage of maximum dosage (PM%). For each participant, 109 SNPs from 29 candidate genes were imputed or genotyped using a Customized Illumina Chip. RESULTS: Polymorphisms in the GABRB1 gene were significantly associated with higher antipsychotic dosage according to CPZe and PM% standardization. CONCLUSION: Our analysis suggests that variation in the GABRB1 gene may be significantly associated with antipsychotic dosage according to CPZe and PM% standardization. Antipsychotic dosage remains an integral measure for treatment response that warrants future pharmacogenetic testing and studies with larger sample sizes.

Tolerance of early oral feeding in patients subjected to total laryngectomy.

BACKGROUND: The purpose of this study was to assess the tolerance of early oral feeding after total laryngectomy. METHOD: A randomized multicenter study was conducted that included 89 individuals subjected to total laryngectomy. The participants were allocated to 2 groups: early (n = 44), early oral feeding; and late (n = 45), late oral feeding. The participants in the early group were assessed as to acceptance of oral feeding, and their food intake was quantified. RESULTS: In the early group, the total energy expenditure and protein needs were not met through oral feeding alone at any time during the first 7 postoperative days. The times to attain 25% and 50% of the total energy expenditure and protein needs by oral feeding after surgery were 4 and 7 days, respectively. CONCLUSION: The patients subjected to early oral feeding failed to meet their caloric and protein needs through that route alone during the first 4 postoperative days and required complementary nutrition through another route. © 2015 Wiley Periodicals, Inc. Head Neck 38: E643-E648, 2016.

Clinical Signs and Characteristics of Exfoliation Syndrome and Exfoliative Glaucoma in Northern China.

PURPOSE: To investigate the frequency and clinical features of exfoliation syndrome (XFS) and exfoliative glaucoma (XFG) in northern China. DESIGN: A retrospective medical chart review. METHODS: The review was conducted in Beijing Tongren Hospital. Using diagnosis codes, all consecutive patients with XFS/XFG were included in the study. Exfoliation syndrome was diagnosed if the patient had exfoliationmaterial (XFM) on the pupillary margin or anterior lens capsule. RESULTS: Of 73,976 inpatient records, 45 patients (75 eyes) with XFS/XFG were identified (27 men, 18 women). Exfoliation syndrome/XFG accounted for 0.55% (45/8205) of hospitalized patients with cataract aged 60 years or older. The mean (SD) age of the inpatients was 72.1 (8.1) years (range, 47-85 years). Thirty-six patients had XFG, comprising 4.3% (36/838) of hospitalized patients with open-angle glaucoma. The presence of XFM on the pupillary margin (66.7%) and anterior lens surface (65.3%) were the most common features. Loss of pupillary ruff (13.3%) was uncommon. Increased pigmentation (49.3%) and flecks of XFM (9.3%) were seen on the trabecular meshwork, and 25 eyes (33.3%) had narrow angles. For those with bilateral XFS/XFG (66.7%, 30/45), 7 patients had bilateral XFS, 15 patients had bilateral XFG, and 8 patients had XFS in 1 eye but XFG in another eye. Twenty-two patients (44.4%) had hypertension, and 7 (15.6%) had ischemic heart diseases. CONCLUSIONS: Exfoliation syndrome/XFG is still uncommon in the northern Chinese population. Its major clinical characteristics are the deposit of XFM on the pupil rim or anterior lens surface and increased trabecular meshwork pigmentation.

Predictors of salivary fistula after total laryngectomy.

OBJECTIVE: To evaluate the incidence of pharyngocutaneous fistula after total laryngectomy and try to identify its predictors. METHODS: From May 2005 to April 2010, 93 patients underwent total laryngectomy. We evaluated complications during and after surgery and compared them with the following variables: gender, nutritional status, previous tracheotomy, tumor location, type of surgery, TNM staging, prior treatment with chemotherapy and/or radiotherapy, use of flaps for reconstruction and surgical margin. All patients presented with advanced neoplastic disease according to TNM. RESULTS: 14 (15.1%) patients developed postoperative salivary fistula. The mean time to onset of salivary fistula was 3.5 days, with a standard deviation of 13.7 days. Comparing salivary fistula with TNM variables, type of operation and neck dissection, prior tracheotomy, use of flap, preoperative radio and chemotherapy and surgical margin, there was no statistically significant difference (p> 0,05). CONCLUSION: The incidence of salivary fistula was 15.1% and no predictive factor for its formation was found.

The usefulness of a pectoralis major myocutaneous flap in preventing salivary fistulae after salvage total laryngectomy.

UNLABELLED: Salvage laryngectomy in patients treated with organ preservation protocols is associated with high rates of postoperative complications. The use of non-irradiated tissue flaps in pharyngeal reconstruction could reduce the incidence of these complications. OBJECTIVE: This study aims to evaluate the usefulness of the pectoralis major myocutaneous flap in preventing salivary fistulae during the postoperative period of salvage total laryngectomy (TL). MATERIALS AND METHOD: This retrospective study enrolled 31 patients operated between April of 2006 and May of 2011. All patients had advanced cancer at the time of the salvage procedure and had been treated with chemoradiotherapy or radiotherapy alone. Pharyngeal reconstruction was performed using pectoralis major myocutaneous flap in 19 cases (61%); primary wound closure occurred in 12 patients (39%). RESULTS: Salivary fistulae occurred in 16% of the patients who received the flap and in 58% of the patients with primary closure of the pharynx (p < 0.02). No statistically significant differences were noted between the groups with respect to the mean time for fistula formation, reintroduction of an oral diet, or use of a nasoenteric tube for feeding. CONCLUSION: The pectoralis major myocutaneous flap was found to reduce the incidence of salivary fistulae in salvage laryngectomy procedures.

Oncocitomas de glândulas salivares / Salivary glands oncocytoma

Introdução: Oncocitoma de glândulas salivares (OGS) é tumorbenigno raro das glândulas salivares, correspondendo a 1%dessas neoplasias. Aparece em geral após a sexta década de vida,sem preferência entre os sexos. Em 80% dos casos, localiza-sena glândula parótida. Material e Método: Apresentamos análiseretrospectiva de cinco pacientes com diagnóstico de OGS, sendoquatro em parótida e um em glândula submandibular, operadosnos últimos 13 anos em nosso serviço. Resultados: Todos foramsubmetidos à ressecção total da glândula. Há três pacientes comcinco a treze anos de seguimento, um operado há 10 meses, eum operado há quatro meses. Nenhum deles apresentou recidivaaté o momento. Comentários finais: O tratamento dos OGS écirúrgico e consiste na retirada do tumor com margens cirúrgicaslivres. A recidiva atinge índices de 30%, devido à excisãoincompleta do tumor ou à multifocalidade, o que demonstra aimportância do acompanhamento periódico dos pacientes.

Deriving visual field loss based upon OCT of inner retinal thicknesses of the macula.

Using a multiple linear regression method, a derived visual field (VF) was obtained from retinal ganglion cell and retinal nerve fiber layer (RNFL) thicknesses measured with frequency-domain, optical coherence tomography (OCT) macular scans. 138 eyes from 92 glaucoma patients or suspects and 58 healthy eyes were included. The derived VF was compared to the VF measured with standard automated perimetry (SAP). The median agreement between the derived and observed VFs was 90%. As the derived and observed VFs should be independent, they can be combined to potentially increase the sensitivity/specificity of a test for glaucoma.

Course of ionized calcium after thyroidectomy.

BACKGROUND: The goal of the present study was to investigate the course of ionized calcium after thyroidectomy and to define a cut-off value that indicates symptoms of hypocalcemia. METHODS: The sample included 333 patients undergoing thyroidectomy at the University Hospital of UFMG between September 2000 and December 2005. Ionized calcium was determined before and after surgery (days 1, 2, and 30) in all patients and on postoperative days 90 and 180 in those with hypocalcemia. Asymptomatic patients received no calcium replacement therapy, irrespective of calcium concentration. Patients with clinical manifestation of hypocalcemia were treated after laboratory confirmation. The presence or absence of postoperative hypocalcemia was associated with ionized calcium concentration measured on the reported days. RESULTS: Ionized calcium declined on the first two days after surgery in all patients when compared to preoperative levels (P = 0.000). Forty-seven (34.6%) of the 136 (40.8%) patients with postoperative hypocalcemia had symptoms. Patients with symptomatic hypocalcemia had significantly lower ionized calcium levels than those with asymptomatic hypocalcemia (P = 0.001). Fourteen (4.2%) patients progressed to definitive hypoparathyroidism by the end of 6 months. CONCLUSIONS: Measurement of ionized calcium on postoperative days 1 and 2 is sufficient for the evaluation of post-thyroidectomy hypocalcemia. Ionized calcium concentrations <1.03 mmol/l on postoperative day 1 are indicative of the presence of symptoms and the need for treatment.

Measurement of local retinal ganglion cell layer thickness in patients with glaucoma using frequency-domain optical coherence tomography.

OBJECTIVE: To explore the feasibility of obtaining a local measurement of the thickness of the retinal ganglion cell layer in patients with glaucoma using frequency-domain optical coherence tomography (fdOCT) and a computer-aided manual segmentation procedure. METHODS: The fdOCT scans were obtained from the horizontal midline for 1 eye of 26 patients with glaucoma and 20 control subjects. The thickness of various layers was measured with a manual segmentation procedure aided by a computer program. The patients were divided into low- and high-sensitivity groups based on their foveal sensitivity on standard automated perimetry. RESULTS: The RGC plus inner plexiform and the retinal nerve fiber layers of the low-sensitivity group were significantly thinner than those of the high-sensitivity group. While these layers were thinner in the patients than the controls, the thicknesses of inner nuclear layer and receptor layer were similar in all 3 groups. Further, the thinning of the retinal ganglion cell plus inner plexiform layer in 1 glaucoma-affected eye showed qualitative correspondence to the loss in 10-2 visual field sensitivity. CONCLUSIONS: Local measures of RGC layer thickness can be obtained from fdOCT scans using a manual segmentation procedure, and these measures show qualitative agreement with visual field sensitivity.