1.International Severe Asthma Registry (ISAR): 2017–2024 Status and Progress Update
Désirée LARENAS-LINNEMANN ; Chin Kook RHEE ; Alan ALTRAJA ; John BUSBY ; Trung N. TRAN ; Eileen WANG ; Todor A. POPOV ; Patrick D. MITCHELL ; Paul E. PFEFFER ; Roy Alton PLEASANTS ; Rohit KATIAL ; Mariko Siyue KOH ; Arnaud BOURDIN ; Florence SCHLEICH ; Jorge MÁSPERO ; Mark HEW ; Matthew J. PETERS ; David J. JACKSON ; George C. CHRISTOFF ; Luis PEREZ-DE-LLANO ; Ivan CHERREZ- OJEDA ; João A. FONSECA ; Richard W. COSTELLO ; Carlos A. TORRES-DUQUE ; Piotr KUNA ; Andrew N. MENZIES-GOW ; Neda STJEPANOVIC ; Peter G. GIBSON ; Paulo Márcio PITREZ ; Celine BERGERON ; Celeste M. PORSBJERG ; Camille TAILLÉ ; Christian TAUBE ; Nikolaos G. PAPADOPOULOS ; Andriana I. PAPAIOANNOU ; Sundeep SALVI ; Giorgio Walter CANONICA ; Enrico HEFFLER ; Takashi IWANAGA ; Mona S. AL-AHMAD ; Sverre LEHMANN ; Riyad AL-LEHEBI ; Borja G. COSIO ; Diahn-Warng PERNG ; Bassam MAHBOUB ; Liam G. HEANEY ; Pujan H. PATEL ; Njira LUGOGO ; Michael E. WECHSLER ; Lakmini BULATHSINHALA ; Victoria CARTER ; Kirsty FLETTON ; David L. NEIL ; Ghislaine SCELO ; David B. PRICE
Tuberculosis and Respiratory Diseases 2025;88(2):193-215
The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.
2.International Severe Asthma Registry (ISAR): 2017–2024 Status and Progress Update
Désirée LARENAS-LINNEMANN ; Chin Kook RHEE ; Alan ALTRAJA ; John BUSBY ; Trung N. TRAN ; Eileen WANG ; Todor A. POPOV ; Patrick D. MITCHELL ; Paul E. PFEFFER ; Roy Alton PLEASANTS ; Rohit KATIAL ; Mariko Siyue KOH ; Arnaud BOURDIN ; Florence SCHLEICH ; Jorge MÁSPERO ; Mark HEW ; Matthew J. PETERS ; David J. JACKSON ; George C. CHRISTOFF ; Luis PEREZ-DE-LLANO ; Ivan CHERREZ- OJEDA ; João A. FONSECA ; Richard W. COSTELLO ; Carlos A. TORRES-DUQUE ; Piotr KUNA ; Andrew N. MENZIES-GOW ; Neda STJEPANOVIC ; Peter G. GIBSON ; Paulo Márcio PITREZ ; Celine BERGERON ; Celeste M. PORSBJERG ; Camille TAILLÉ ; Christian TAUBE ; Nikolaos G. PAPADOPOULOS ; Andriana I. PAPAIOANNOU ; Sundeep SALVI ; Giorgio Walter CANONICA ; Enrico HEFFLER ; Takashi IWANAGA ; Mona S. AL-AHMAD ; Sverre LEHMANN ; Riyad AL-LEHEBI ; Borja G. COSIO ; Diahn-Warng PERNG ; Bassam MAHBOUB ; Liam G. HEANEY ; Pujan H. PATEL ; Njira LUGOGO ; Michael E. WECHSLER ; Lakmini BULATHSINHALA ; Victoria CARTER ; Kirsty FLETTON ; David L. NEIL ; Ghislaine SCELO ; David B. PRICE
Tuberculosis and Respiratory Diseases 2025;88(2):193-215
The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.
3.International Severe Asthma Registry (ISAR): 2017–2024 Status and Progress Update
Désirée LARENAS-LINNEMANN ; Chin Kook RHEE ; Alan ALTRAJA ; John BUSBY ; Trung N. TRAN ; Eileen WANG ; Todor A. POPOV ; Patrick D. MITCHELL ; Paul E. PFEFFER ; Roy Alton PLEASANTS ; Rohit KATIAL ; Mariko Siyue KOH ; Arnaud BOURDIN ; Florence SCHLEICH ; Jorge MÁSPERO ; Mark HEW ; Matthew J. PETERS ; David J. JACKSON ; George C. CHRISTOFF ; Luis PEREZ-DE-LLANO ; Ivan CHERREZ- OJEDA ; João A. FONSECA ; Richard W. COSTELLO ; Carlos A. TORRES-DUQUE ; Piotr KUNA ; Andrew N. MENZIES-GOW ; Neda STJEPANOVIC ; Peter G. GIBSON ; Paulo Márcio PITREZ ; Celine BERGERON ; Celeste M. PORSBJERG ; Camille TAILLÉ ; Christian TAUBE ; Nikolaos G. PAPADOPOULOS ; Andriana I. PAPAIOANNOU ; Sundeep SALVI ; Giorgio Walter CANONICA ; Enrico HEFFLER ; Takashi IWANAGA ; Mona S. AL-AHMAD ; Sverre LEHMANN ; Riyad AL-LEHEBI ; Borja G. COSIO ; Diahn-Warng PERNG ; Bassam MAHBOUB ; Liam G. HEANEY ; Pujan H. PATEL ; Njira LUGOGO ; Michael E. WECHSLER ; Lakmini BULATHSINHALA ; Victoria CARTER ; Kirsty FLETTON ; David L. NEIL ; Ghislaine SCELO ; David B. PRICE
Tuberculosis and Respiratory Diseases 2025;88(2):193-215
The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.
4.International Severe Asthma Registry (ISAR): 2017–2024 Status and Progress Update
Désirée LARENAS-LINNEMANN ; Chin Kook RHEE ; Alan ALTRAJA ; John BUSBY ; Trung N. TRAN ; Eileen WANG ; Todor A. POPOV ; Patrick D. MITCHELL ; Paul E. PFEFFER ; Roy Alton PLEASANTS ; Rohit KATIAL ; Mariko Siyue KOH ; Arnaud BOURDIN ; Florence SCHLEICH ; Jorge MÁSPERO ; Mark HEW ; Matthew J. PETERS ; David J. JACKSON ; George C. CHRISTOFF ; Luis PEREZ-DE-LLANO ; Ivan CHERREZ- OJEDA ; João A. FONSECA ; Richard W. COSTELLO ; Carlos A. TORRES-DUQUE ; Piotr KUNA ; Andrew N. MENZIES-GOW ; Neda STJEPANOVIC ; Peter G. GIBSON ; Paulo Márcio PITREZ ; Celine BERGERON ; Celeste M. PORSBJERG ; Camille TAILLÉ ; Christian TAUBE ; Nikolaos G. PAPADOPOULOS ; Andriana I. PAPAIOANNOU ; Sundeep SALVI ; Giorgio Walter CANONICA ; Enrico HEFFLER ; Takashi IWANAGA ; Mona S. AL-AHMAD ; Sverre LEHMANN ; Riyad AL-LEHEBI ; Borja G. COSIO ; Diahn-Warng PERNG ; Bassam MAHBOUB ; Liam G. HEANEY ; Pujan H. PATEL ; Njira LUGOGO ; Michael E. WECHSLER ; Lakmini BULATHSINHALA ; Victoria CARTER ; Kirsty FLETTON ; David L. NEIL ; Ghislaine SCELO ; David B. PRICE
Tuberculosis and Respiratory Diseases 2025;88(2):193-215
The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.
5.International Severe Asthma Registry (ISAR): 2017–2024 Status and Progress Update
Désirée LARENAS-LINNEMANN ; Chin Kook RHEE ; Alan ALTRAJA ; John BUSBY ; Trung N. TRAN ; Eileen WANG ; Todor A. POPOV ; Patrick D. MITCHELL ; Paul E. PFEFFER ; Roy Alton PLEASANTS ; Rohit KATIAL ; Mariko Siyue KOH ; Arnaud BOURDIN ; Florence SCHLEICH ; Jorge MÁSPERO ; Mark HEW ; Matthew J. PETERS ; David J. JACKSON ; George C. CHRISTOFF ; Luis PEREZ-DE-LLANO ; Ivan CHERREZ- OJEDA ; João A. FONSECA ; Richard W. COSTELLO ; Carlos A. TORRES-DUQUE ; Piotr KUNA ; Andrew N. MENZIES-GOW ; Neda STJEPANOVIC ; Peter G. GIBSON ; Paulo Márcio PITREZ ; Celine BERGERON ; Celeste M. PORSBJERG ; Camille TAILLÉ ; Christian TAUBE ; Nikolaos G. PAPADOPOULOS ; Andriana I. PAPAIOANNOU ; Sundeep SALVI ; Giorgio Walter CANONICA ; Enrico HEFFLER ; Takashi IWANAGA ; Mona S. AL-AHMAD ; Sverre LEHMANN ; Riyad AL-LEHEBI ; Borja G. COSIO ; Diahn-Warng PERNG ; Bassam MAHBOUB ; Liam G. HEANEY ; Pujan H. PATEL ; Njira LUGOGO ; Michael E. WECHSLER ; Lakmini BULATHSINHALA ; Victoria CARTER ; Kirsty FLETTON ; David L. NEIL ; Ghislaine SCELO ; David B. PRICE
Tuberculosis and Respiratory Diseases 2025;88(2):193-215
The International Severe Asthma Registry (ISAR) was established in 2017 to advance the understanding of severe asthma and its management, thereby improving patient care worldwide. As the first global registry for adults with severe asthma, ISAR enabled individual registries to standardize and pool their data, creating a comprehensive, harmonized dataset with sufficient statistical power to address key research questions and knowledge gaps. Today, ISAR is the largest repository of real-world data on severe asthma, curating data on nearly 35,000 patients from 28 countries worldwide, and has become a leading contributor to severe asthma research. Research using ISAR data has provided valuable insights on the characteristics of severe asthma, its burdens and risk factors, real-world treatment effectiveness, and barriers to specialist care, which are collectively informing improved asthma management. Besides changing clinical thinking via research, ISAR aims to advance real-world practice through initiatives that improve registry data quality and severe asthma care. In 2024, ISAR refined essential research variables to enhance data quality and launched a web-based data acquisition and reporting system (QISAR), which integrates data collection with clinical consultations and enables longitudinal data tracking at patient, center, and population levels. Quality improvement priorities include collecting standardized data during consultations and tracking and optimizing patient journeys via QISAR and integrating primary/secondary care pathways to expedite specialist severe asthma management and facilitate clinical trial recruitment. ISAR envisions a future in which timely specialist referral and initiation of biologic therapy can obviate long-term systemic corticosteroid use and enable more patients to achieve remission.
6.Variability of extracorporeal cardiopulmonary resuscitation utilization for refractory adult out-of-hospital cardiac arrest: an international survey study.
Patrick J COPPLER ; Benjamin S ABELLA ; Clifton W CALLAWAY ; Minjung Kathy CHAE ; Seung Pill CHOI ; Jonathan ELMER ; Won Young KIM ; Young Min KIM ; Michael KURZ ; Joo Suk OH ; Joshua C REYNOLDS ; Jon C RITTENBERGER ; Kelly N SAWYER ; Chun Song YOUN ; Byung Kook LEE ; David F GAIESKI
Clinical and Experimental Emergency Medicine 2018;5(2):100-106
OBJECTIVE: A growing interest in extracorporeal cardiopulmonary resuscitation (ECPR) as a rescue strategy for refractory adult out-of-hospital cardiac arrest (OHCA) currently exists. This study aims to determine current standards of care and practice variation for ECPR patients in the USA and Korea. METHODS: In December 2015, we surveyed centers from the Korean Hypothermia Network (KORHN) Investigators and the US National Post-Arrest Research Consortium (NPARC) on current targeted temperature management and ECPR practices. This project analyzes the subsection of questions addressing ECPR practices. We summarized survey results using descriptive statistics. RESULTS: Overall, 9 KORHN and 4 NPARC centers reported having ECPR programs and had complete survey data available. Two KORHN centers utilized extracorporeal membrane oxygenation only for postarrest circulatory support in patients with refractory shock and were excluded from further analysis. Centers with available ECPR generally saw a high volume of OHCA patients (10/11 centers care for >75 OHCA a year). Location of, and providers trained for cannulation varied across centers. All centers in both countries (KORHN 7/7, NPARC 4/4) treated comatose ECPR patients with targeted temperature management. All NPARC centers and four of seven KORHN centers reported having a standardized hospital protocol for ECPR. Upper age cutoff for eligibility ranged from 60 to 75 years. No absolute contraindications were unanimous among centers. CONCLUSION: A wide variability in practice patterns exist between centers performing ECPR for refractory OHCA in the US and Korea. Standardized protocols and shared research databases might inform best practices, improve outcomes, and provide a foundation for prospective studies.
Adult*
;
Cardiopulmonary Resuscitation*
;
Catheterization
;
Coma
;
Extracorporeal Membrane Oxygenation
;
Heart Arrest
;
Humans
;
Hypothermia
;
Korea
;
Out-of-Hospital Cardiac Arrest*
;
Practice Guidelines as Topic
;
Prospective Studies
;
Research Personnel
;
Shock
;
Standard of Care
7.Glaucoma Progression Detection by Retinal Nerve Fiber Layer Measurement Using Scanning Laser Polarimetry: Event and Trend Analysis.
Byung Gil MOON ; Kyung Rim SUNG ; Jung Woo CHO ; Sung Yong KANG ; Sung Cheol YUN ; Jung Hwa NA ; Youngrok LEE ; Michael S KOOK
Korean Journal of Ophthalmology 2012;26(3):174-181
PURPOSE: To evaluate the use of scanning laser polarimetry (SLP, GDx VCC) to measure the retinal nerve fiber layer (RNFL) thickness in order to evaluate the progression of glaucoma. METHODS: Test-retest measurement variability was determined in 47 glaucomatous eyes. One eye each from 152 glaucomatous patients with at least 4 years of follow-up was enrolled. Visual field (VF) loss progression was determined by both event analysis (EA, Humphrey guided progression analysis) and trend analysis (TA, linear regression analysis of the visual field index). SLP progression was defined as a reduction of RNFL exceeding the predetermined repeatability coefficient in three consecutive exams, as compared to the baseline measure (EA). The slope of RNFL thickness change over time was determined by linear regression analysis (TA). RESULTS: Twenty-two eyes (14.5%) progressed according to the VF EA, 16 (10.5%) by VF TA, 37 (24.3%) by SLP EA and 19 (12.5%) by SLP TA. Agreement between VF and SLP progression was poor in both EA and TA (VF EA vs. SLP EA, k = 0.110; VF TA vs. SLP TA, k = 0.129). The mean (+/-standard deviation) progression rate of RNFL thickness as measured by SLP TA did not significantly differ between VF EA progressors and non-progressors (-0.224 +/- 0.148 microm/yr vs. -0.218 +/- 0.151 microm/yr, p = 0.874). SLP TA and EA showed similar levels of sensitivity when VF progression was considered as the reference standard. CONCLUSIONS: RNFL thickness as measurement by SLP was shown to be capable of detecting glaucoma progression. Both EA and TA of SLP showed poor agreement with VF outcomes in detecting glaucoma progression.
Disease Progression
;
Female
;
Glaucoma/*diagnosis
;
Humans
;
Male
;
Middle Aged
;
Retinal Ganglion Cells/*pathology
;
Retrospective Studies
;
Scanning Laser Polarimetry/*methods
;
Severity of Illness Index
8.Retinal Nerve Fiber Layer Measurement Variability with Spectral Domain Optical Coherence Tomography.
Jung Taeck HONG ; Kyung Rim SUNG ; Jung Woo CHO ; Sung Cheol YUN ; Sung Yong KANG ; Michael S KOOK
Korean Journal of Ophthalmology 2012;26(1):32-38
PURPOSE: To evaluate the effect of the scanning laser ophthalmoscope (SLO) guided re-test mode on short- and long-term measurement variability of peripapillary retinal nerve fiber layer (RNFL) thickness obtained by spectral domain-SLO optical coherence tomography (SD-SLO/OCT). METHODS: Seventy five healthy eyes were scanned 3 times per day (intra-session variability) by both the SLO guided re-test mode and the independent mode of SD-SLO/OCT. Subjects were scanned 3 times by both modes at visits within a 2-week interval (inter-session variability). For testing longitudinal variability, 3 separate exams were performed over 6 months by both modes. The coefficient of variation (CV), reproducibility coefficient (RC) and intraclass correlation coefficient of RNFL thickness were compared between the two modes. RESULTS: The intra-session RC and CV ranged from 5.4 to 12.9 microns and 1.76% to 5.72% when measured by independent mode and 5.4 to 12.5 microns and 1.75% to 5.58% by re-test mode, respectively. The inter-session RC and CV ranged from 5.8 to 13.3 microns and 1.89% to 5.78% by independent mode and 5.8 to 12.7 microns and 1.90% to 5.54% by re-test mode, respectively. Intra-session and inter-session variability measurements were not significantly different between the two modes. The longitudinal RC and CV ranged from 8.5 to 19.2 microns and 2.79% to 7.08% by independent mode and 7.5 to 14.4 microns and 2.33% to 6.22% by re-test mode, respectively. Longitudinal measurement variability was significantly lower when measured by the re-test mode compared to the independent mode (average, p = 0.011). CONCLUSIONS: The SLO guided re-test mode for RNFL thickness measurement in SD-SLO/OCT employing a tracking system improved long-term reproducibility by reducing variability induced by inconsistent scan circle placement.
Adult
;
Algorithms
;
Anatomy, Cross-Sectional
;
Female
;
Humans
;
Male
;
Nerve Fibers
;
Ophthalmoscopes
;
Reference Values
;
Reproducibility of Results
;
Retinal Ganglion Cells/*cytology
;
Tomography, Optical Coherence/*methods
9.Clinical Validation of Visual Field Index.
Jung Woo CHO ; Yoon Pyo NAM ; Dong Yoon KIM ; Sung Yong KANG ; Kyung Rim SUNG ; Michael S KOOK
Journal of the Korean Ophthalmological Society 2010;51(1):49-54
PURPOSE: To determine the associations of visual field index (VFI) with advanced glaucoma intervention study (AGIS) score, mean deviation (MD), pattern standard deviation (PSD), and average retinal nerve fiber layer (RNFL) thickness as measured by optical coherence tomography (OCT) and to evaluate the diagnostic abilities of these parameters. METHODS: One hundred fifteen glaucomatous eyes and 78 healthy eyes were enrolled in this cross-sectional study. Each participant had a Humphrey visual field analyzer test and OCT done. The diagnostic abilities of these parameters were analyzed using the receiver operating characteristic (ROC) curve, and we sought to determine the association of these parameters with VFI by Pearson correlation analysis. RESULTS: The associations between analyzed parameters and VFI were statistically significant (all, p<0.001). The area under the ROC curve (AUROC) value of VFI was greater than that of the MD and AGIS score (all, p<0.001) but was not different from the PSD and RNFL average thickness measured by OCT (p=0.756, p=0.638). CONCLUSIONS: The VFI showed significant associations with AGIS score, MD, PSD, and average RNFL thickness as measured by OCT and revealed similar diagnostic abilities as these parameters.
Cross-Sectional Studies
;
Eye
;
Glaucoma
;
Clinical Trial
;
Nerve Fibers
;
Retinaldehyde
;
ROC Curve
;
Tomography, Optical Coherence
;
Visual Fields
10.Characterization of Peripapillary Atrophy Using Spectral Domain Optical Coherence Tomography.
Jung Hwa NA ; Byung Gil MOON ; Kyung Rim SUNG ; Youngrok LEE ; Michael S KOOK
Korean Journal of Ophthalmology 2010;24(6):353-359
PURPOSE: To characterize the features of peripapillary atrophy (PPA), as imaged by spectral-domain optical coherence tomography (SD-OCT). METHODS: SD-OCT imaging of the optic disc was performed on healthy eyes, eyes suspected of having glaucoma, and eyes diagnosed with glaucoma. From the peripheral beta-zone, the retinal nerve fiber layer (RNFL), the junction of the inner and outer segments (IS/OS) of the photoreceptor layer, and the Bruch's membrane/retinal pigment epithelium complex layer (BRL) were visualized. RESULTS: Nineteen consecutive eyes of 10 subjects were imaged. The RNFL was observed in the PPA beta-zone of all eyes, and no eye showed an IS/OS complex in the beta-zone. The BRL was absent in the beta-zone of two eyes. The BRL was incomplete or showed posterior bowing in the beta-zone of five eyes. CONCLUSIONS: The common findings in the PPA beta-zone were that the RNFL was present, but the photoreceptor layer was absent. Presence of the BRL was variable in the beta-zone areas.
Adult
;
Aged
;
Bruch Membrane/pathology
;
Female
;
Glaucoma/*complications
;
Humans
;
Male
;
Middle Aged
;
Nerve Fibers/pathology
;
Optic Atrophy/*diagnosis/*etiology
;
Optic Disk/*pathology
;
Photoreceptor Cells, Vertebrate/pathology
;
Retina/pathology
;
Retinal Pigment Epithelium/pathology
;
Tomography, Optical Coherence/*methods

Result Analysis
Print
Save
E-mail