Maria Woodward

Dr. Maria Woodward

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2008 in Ophthalmology
Verified
Journal Article
Closed access
JRJ. Bradley Randleman
J. Bradley Randleman
MWMaria Woodward
Maria Woodward
MLMichael J. Lynn
Michael J. Lynn
RSR. Doyle Stulting
R. Doyle Stulting

15 May 2012 in Aging Cell
Verified
Journal Article
Open access
PDF file
JWJohn E. Wilkinson
John E. Wilkinson
LBLisa Burmeister
Lisa Burmeister
SBSusan V. Brooks
Susan V. Brooks
CCChi‐Chao Chan
Chi‐Chao Chan
SFSabrina Friedline
Sabrina Friedline
RMRichard A. Miller
Richard A. Miller
Summary: Rapamycin increases lifespan in mice, but whether this represents merely inhibition of lethal neoplastic diseases, or an overall slowing in multiple aspects of aging is currently unclear. We report here that many forms of age‐dependent change, including alterations in heart, liver, adrenal glands, endometrium, and tendon, as well as age‐dependent decline in spontaneous activity, occur more slowly in rapamycin‐treated mice, suggesting strongly that rapamycin retards multiple aspects of aging in mice, in addition to any beneficial effects it may have on neoplastic disease. We also note, however, that mice treated with rapamycin starting at 9 months of age have significantly higher incidence of testicular degeneration and cataracts; harmful effects of this kind will guide further studies on timing, dosage, and tissue‐specific actions of rapamycin relevant to the development of clinically useful inhibitors of TOR action.

1 June 2009 in Journal of Cataract & Refractive Surgery
Verified
Journal Article
Closed access
MWMaria Woodward
Maria Woodward
BRBradley J. Randleman
Bradley J. Randleman
DSDoyle R. Stulting
Doyle R. Stulting
To analyze the reasons for patient dissatisfaction after phacoemulsification with multifocal intraocular lens (IOL) implantation and the outcomes after intervention. Emory Eye Center, Atlanta, Georgia, USA. This retrospective review comprised eyes of patients dissatisfied with visual outcomes after multifocal IOL implantation. Outcomes analyzed included type of visual complaint, treatment modality for each complaint, and degree of clinical improvement after intervention. Thirty-two patients (43 eyes) reported unwanted visual symptoms after multifocal IOL implantation, including in 28 eyes (65%) with an AcrySof ReSTOR IOL and 15 (35%) with a ReZoom IOL. Thirty patients (41 eyes) reported blurred vision, 15 (18 eyes) reported photic phenomena, and 13 (16 eyes) reported both. Causes of blurred vision included ametropia (12 eyes, 29%), dry eye syndrome (6 eyes, 15%), posterior capsule opacification (PCO) (22 eyes, 54%), and unexplained etiology (1 eye, 2%). Causes of photic phenomena included IOL decentration (2 eyes, 12%), retained lens fragment (1 eye, 6%), PCO (12 eyes, 66%), dry-eye syndrome (1 eye, 2%), and unexplained etiology (2 eyes, 11%). Photic phenomena attributed to PCO also caused blurred vision. Thirty-five eyes (81%) had improvement with conservative treatment. Five eyes (12%) did not have improvement despite treatment combinations. Three eyes (7%) required IOL exchange. Complaints of blurred vision and photic phenomena after multifocal IOL implantation were effectively managed with appropriate treatment. Few eyes (7%) required IOL exchange. Neodymium:YAG capsulotomy should be delayed until it has been determined that IOL exchange will not be necessary.

1 September 2007 in Archives of Ophthalmology (1950)
Verified
Journal Article
Closed access
PDF file
JRJ. Bradley Randleman
J. Bradley Randleman
JWJeremy D. Wolfe
Jeremy D. Wolfe
MWMaria Woodward
Maria Woodward
MLMichael J. Lynn
Michael J. Lynn
DCD. Hunter Cherwek
D. Hunter Cherwek
SSSunil K. Srivastava
Sunil K. Srivastava
Research from JAMA Ophthalmology — The Resident Surgeon Phacoemulsification Learning Curve

1 March 2016 in Ophthalmology
Verified
Journal Article
Closed access
MWMaria Woodward
Maria Woodward
TBTaylor S. Blachley
Taylor S. Blachley
JSJoshua D. Stein
Joshua D. Stein

4 September 2018 in Translational Vision Science & Technology
Verified
Journal Article
Open access
PDF file
TKTyson N. Kim
Tyson N. Kim
FMFrank Myers
Frank Myers
CRClay Reber
Clay Reber
PLPj Loury
Pj Loury
PLPanagiota Loumou
Panagiota Loumou
DFDaniel A. Fletcher
Daniel A. Fletcher
Purpose: High-quality, wide-field retinal imaging is a valuable method for screening preventable, vision-threatening diseases of the retina. Smartphone-based retinal cameras hold promise for increasing access to retinal imaging, but variable image quality and restricted field of view can limit their utility. We developed and clinically tested a smartphone-based system that addresses these challenges with automation-assisted imaging. Methods: The system was designed to improve smartphone retinal imaging by combining automated fixation guidance, photomontage, and multicolored illumination with optimized optics, user-tested ergonomics, and touch-screen interface. System performance was evaluated from images of ophthalmic patients taken by nonophthalmic personnel. Two masked ophthalmologists evaluated images for abnormalities and disease severity. Results: The system automatically generated 100° retinal photomontages from five overlapping images in under 1 minute at full resolution (52.3 pixels per retinal degree) fully on-phone, revealing numerous retinal abnormalities. Feasibility of the system for diabetic retinopathy (DR) screening using the retinal photomontages was performed in 71 diabetics by masked graders. DR grade matched perfectly with dilated clinical examination in 55.1% of eyes and within 1 severity level for 85.2% of eyes. For referral-warranted DR, average sensitivity was 93.3% and specificity 56.8%. Conclusions: Automation-assisted imaging produced high-quality, wide-field retinal images that demonstrate the potential of smartphone-based retinal cameras to be used for retinal disease screening. Translational Relevance: Enhancement of smartphone-based retinal imaging through automation and software intelligence holds great promise for increasing the accessibility of retinal screening.