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Biomedical subjects

Jerry D Cavallerano

Publications and source records attributed to Jerry D Cavallerano.

10 recordsLinked to original sources

Comparison of nonmydriatic digital retinal imaging versus dilated ophthalmic examination for nondiabetic eye disease in persons with diabetes.

OBJECTIVE: To evaluate the ability of stereoscopic nonmydriatic digital retinal imaging to detect ocular pathologic features other than diabetic retinopathy (DR) in patients with diabetes mellitus (DM) compared with dilated retinal examination by retinal specialist ophthalmologists. DESIGN: Clinic-based comparative instrument study and retrospective chart review. PARTICIPANTS: Two hundred eighty Joslin Diabetes Center outpatients (560 eyes) with type 1 or type 2 DM. METHODS: Nonsimultaneous stereoscopic nonmydriatic digital retinal images (640 x 480 pixels) of three 45 degrees retinal fields were acquired and graded for clinical level of DR and other ocular pathologic features by certified readers according to Joslin Vision Network (JVN) protocol. Retrospective chart review compared findings from JVN digital images with findings from dilated retinal examination by retinal specialists performed within an average of 39.6 days of digital imaging. An independent senior retinal specialist adjudicated disagreements by review of 7 standard field 35-mm Early Treatment Diabetic Retinopathy Study protocol fundus photographs and JVN images. MAIN OUTCOME MEASURES: Detection of non-DR ocular pathologic features by digital imaging as compared with clinical examination. RESULTS: Nonmydriatic digital evaluation identified at least 1 non-DR ocular finding in 40.7% of patients (114/280). Non-diabetes mellitus ocular pathologic features identified by digital images, clinical examination, or both included cataract (n = 100); age-related maculopathy (n = 52); suspicion of glaucoma (n = 18); choroidal lesions (n = 18); evidence of systemic disorder (e.g., hypertension or renal disease; n = 15); epiretinal membrane (n = 11); chorioretinal atrophy, scar, or both (n = 6); retinal emboli (n = 3); retinitis pigmentosa (n = 1); and asteroid hyalosis (n = 1). Agreement of nonmydriatic imaging with clinical examination for presence and absence of these findings was 95.4%, 91.3%, 98.2%, 98.6%, 98.2%, 99.6%, 100%, 100%, 100%, and 100%, respectively. Kappa values for all non-DR lesions demonstrated near perfect agreement (kappa> or =0.80) except for age-related maculopathy (kappa = 0.71) and choroidal lesions (kappa = 0.73), where agreement was substantial. Overall, only 55 eyes (9.8%) were ungradable for level of DR and 85 eyes (15.2%) were ungradable for macular edema. CONCLUSIONS: Joslin Vision Network nonmydriatic digital imaging demonstrated excellent agreement with dilated ophthalmic examination by retinal specialists in the detection of ocular disease other than DR, suggesting a potential role for this technology in evaluating non-DR disorders and highlighting the extent of findings other than retinopathy in patients with diabetes.

Adult↗

The sensitivity and specificity of nonmydriatic digital stereoscopic retinal imaging in detecting diabetic retinopathy.

OBJECTIVE: The objective of this study was to determine the sensitivity and specificity of Joslin Vision Network nonmydriatic digital stereoscopic retinal imaging (NMDSRI) as a screening tool in detecting diabetic retinopathy. RESEARCH DESIGN AND METHODS: We reviewed the records of 244 patients with diabetes who had a dilated funduscopic examination (DFE) and NMDSRI done within 1 year of each other at four locations in the metropolitan Washington, DC, area. The images were transmitted through a local area network to a central reading location where they were graded by a single retinal specialist. RESULTS: Images of 482 eyes from 243 patients were included in the study. Four images did not transmit, and 35% of the images were not gradable. Of the remaining 311 eyes, there was 86% agreement in the grading between NMDSRI and DFE: 227 eyes with no diabetic retinopathy and 40 eyes with diabetic retinopathy. In 46 eyes (15%) there was a disagreement between gradings made by the two techniques. NMDSRI detected diabetic retinopathy in 35 eyes reported as normal by DFE, and in the remaining 11 eyes, the DFE grade was one grade higher than the NMDSRI grade. Adjudicated nonconcordant examinations were within one grade. In the 76 eyes with diabetic retinopathy, retinal thickness could not be assessed in 17 (21%) eyes. When the NMDSRI result was gradable, the overall sensitivity of NMDSRI was 98% and the specificity was 100% for retinopathy within one grade of the DFE. In the limited number of eyes that had diabetic retinopathy with macular edema (six), agreement with the clinical examination was 100%. CONCLUSIONS: NMDSRI is a sensitive and specific method for the screening and diagnosis of diabetic retinopathy, which may help improve compliance with the standards of eye care for patients with diabetes.

Aged↗

Nonmydriatic digital imaging alternative for annual retinal examination in persons with previously documented no or mild diabetic retinopathy.

PURPOSE: To prospectively evaluate the Joslin Vision Network (JVN) for follow-up annual retinal examination for level of diabetic retinopathy (DR). DESIGN: Prospective cohort study. METHODS: Fifty-two patients with no or mild nonproliferative DR (Early Treatment Diabetic Retinopathy Study [ETDRS] level < or = 35) and no diabetic macular edema (DME) at dilated retinal examination 11 or more months earlier were imaged. Patients then had dilated retinal examination and color 35-mm seven standard field stereoscopic photography (ETDRS photographs) and completed a satisfaction survey. Level of DR determined from JVN images, clinical examination, and ETDRS photographs was compared. RESULTS: Two (1.9%) eyes had JVN images ungradable for level of DR. In the 102 gradable eyes (98.1%), JVN diagnosis exactly matched clinical examination for level of DR in 82 eyes (77.9%) and was within one level of DR in all eyes (100%). Three eyes (2.9%) had JVN images ungradable for DME; one of these eyes had DME by clinical examination. JVN diagnosis matched clinical examination for DME in all eyes (101) gradable by JVN. Fifty patients (96.1%) reported JVN imaging improved their understanding of eye disease, 100% were satisfied with JVN, and forty-eight (92.3%) would consider replacing dilated examination by their eye doctor with JVN imaging. CONCLUSIONS: JVN digital imaging closely matched clinical examination for level of DR and DME, would have resulted in no patients receiving less stringent follow-up, and was well accepted by patients. JVN digital imaging may be a suitable alternative for annual dilated retinal examination for determining level of DR or DME and appropriate follow-up comprehensive ophthalmic examination.

Adolescent↗

A telemedicine program for diabetic retinopathy in a Veterans Affairs Medical Center--the Joslin Vision Network Eye Health Care Model.

PURPOSE: To extend access to diabetic eye care and characterize the extent of diabetic retinopathy {DR) and other ocular findings using the Joslin Vision Network (JVN). DESIGN: Retrospective observational cohort study. METHODS: Outpatients at the Togus VA Medical Center with diabetes mellitus, impaired fasting glucose, or impaired glucose tolerance underwent JVN protocol imaging. Images were transmitted to the Joslin Diabetes Center for grading and recommended treatment plan. RESULTS: The study included 1,219 patients (2,437 eyes); 1,536 eyes (63.0%) had no (DR), 389 (16.0%) had mild nonproliferative DR (NPDR), 105 (4.3%) moderate NPDR, 35 (1.4%) severe NPDR, 20 (0.8%) very severe NPDR, and 21 (0.9%) had proliferative DR (PDR). Regarding diabetic macular edema (DME), 1,907 eyes (78.3%) had no DME, 34 (1.4%) had early DME, and 16 (0.7%) had clinically significant macular edema (CSME). Of all patients, 354 (29.0%) had either no DR or mild NPDR in both eyes, no evidence of DME, and no significant nondiabetic findings; 679 (55.7%) had no DR in either eye, and 229 (18.8%) had mild NPDR in the more severe eye. Of the 908 patients (74.5%) with either no DR or mild NPDR in the more severe eye, 533 (58.7%) had at least one nondiabetic ocular finding necessitating referral. Finally, 320 eyes (13.1%) were ungradable for both DR and DME and 160 (6.6%) were ungradable for DME alone. CONCLUSION: In a non-ophthalmic setting, JVN identifies the severity of DR and nondiabetic ocular conditions, permitting appropriate triage for eye care.

Adult↗

A modeled economic analysis of a digital tele-ophthalmology system as used by three federal health care agencies for detecting proliferative diabetic retinopathy.

The objective of this study was to compare, using a 12-month time frame, the cost-effectiveness of a non-mydriatic digital tele-ophthalmology system (Joslin Vision Network) versus traditional clinic-based ophthalmoscopy examinations with pupil dilation to detect proliferative diabetic retinopathy and its consequences. Decision analysis techniques, including Monte Carlo simulation, were used to model the use of the Joslin Vision Network versus conventional clinic-based ophthalmoscopy among the entire diabetic populations served by the Indian Health Service, the Department of Veterans Affairs, and the active duty Department of Defense. The economic perspective analyzed was that of each federal agency. Data sources for costs and outcomes included the published literature, epidemiologic data, administrative data, market prices, and expert opinion. Outcome measures included the number of true positive cases of proliferative diabetic retinopathy detected, the number of patients treated with panretinal laser photocoagulation, and the number of cases of severe vision loss averted. In the base-case analyses, the Joslin Vision Network was the dominant strategy in all but two of the nine modeled scenarios, meaning that it was both less costly and more effective. In the active duty Department of Defense population, the Joslin Vision Network would be more effective but cost an extra 1,618 dollars per additional patient treated with panretinal laser photo-coagulation and an additional 13,748 dollars per severe vision loss event averted. Based on our economic model, the Joslin Vision Network has the potential to be more effective than clinic-based ophthalmoscopy for detecting proliferative diabetic retinopathy and averting cases of severe vision loss, and may do so at lower cost.

Cost-Benefit Analysis↗

Use of Joslin Vision Network digital-video nonmydriatic retinal imaging to assess diabetic retinopathy in a clinical program.

PURPOSE: To incorporate a nonmydriatic, digital-video retinal imaging system into a Diabetes Outpatient Intensive Treatment Program and to evaluate the system's ability to assess diabetic retinopathy (DR), determine follow-up, and appropriately refer to retinal specialist ophthalmologists. METHODS: Fundus images were obtained according to Joslin Vision Network (JVN) protocol and evaluated by certified JVN readers. Patients with significant retinal disease underwent evaluation by retinal specialists. RESULTS: A total of 268 (51.0%) of 525 imaged patients had comprehensive eye examination by a retinal specialist owing to referable JVN-assessed clinical level of DR, nondiabetic ocular disease, ungradeable images, last eye examination >/=12 months prior, or patient request for examination. JVN diagnosis of a clinical level of DR agreed exactly with clinical findings in 388 eyes (72.5%) or within one level in 478 eyes (89.3%). JVN referral based on most severe diagnosis in either eye matched retinal specialist-recommended follow-up in 248/268 of patients (92.5%). A total of 136/525 (25.9%) of JVN patients had nondiabetic ocular abnormalities requiring referral. CONCLUSIONS: Recommended follow-up from JVN imaging compared favorably to clinical examination by a retinal specialist. Nondiabetic ocular pathology was identified. JVN assessment of DR level compares favorably to clinical practice, potentially improving access to eye care and enhancing diabetes management.

Adolescent↗