Irmela Mantel

Dr. Irmela Mantel


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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10 April 2014 in British Journal of Ophthalmology
Verified
Journal Article
Open access
IMIrmela Mantel
Irmela Mantel
SNSophie-Alexia Niderprim
Sophie-Alexia Niderprim
CGChristina Gianniou
Christina Gianniou
ADAngeliki Deli
Angeliki Deli
AAAude Ambresin
Aude Ambresin
The purpose of this study was to clinically validate an individually planned treatment regimen for neovascular age-related macular degeneration (nAMD), termed, observe and plan. This regimen was based on the predictability of an individual's need for retreatment and aimed to reduce the clinical burden, while obtaining good functional results. This was a prospective case series that included 104 patients (115 eyes) with treatment-naive nAMD. Following three loading doses of ranibizumab, monthly observation visits allowed the disease recurrence interval to be determined. The recurrence interval was reduced by 2 weeks to give the retreatment interval for the next three injections. Periodical control visits (at least every 6 months) allowed the effectiveness of the treatment to be assessed and individual intervals adjusted. Mean visual acuity (VA) improved by 8.7 and 9.8 letters in months 3 and 12, respectively. The mean number of injections during the 12-month study was 7.8, while the mean number of ophthalmic examinations between months 3 and 12 was 3.97. The mean treatment interval after the loading doses was 1.97 months. The observe-and-plan regimen significantly improved VA. This was obtained with fewer clinic visits compared with other regimens, which could ease the burden of nAMD treatment. Commission cantonale (VD) d'éthique de la recherché Clinique, Université de Lausanne, Protocole 351/11.

21 January 2019 in Nature Communications
Verified
Journal Article
Open access
PDF file
MZMin Zhao
Min Zhao
IMIrmela Mantel
Irmela Mantel
EGEmmanuelle Gelize
Emmanuelle Gelize
XLXinxin Li
Xinxin Li
XXXiaoyue Xie
Xiaoyue Xie
FBFrancine Behar-Cohen
Francine Behar-Cohen
Choroidal neovascularization (CNV) is a major cause of visual impairment in patients suffering from wet age-related macular degeneration (AMD), particularly when refractory to intraocular anti-VEGF injections. Here we report that treatment with the oral mineralocorticoid receptor (MR) antagonist spironolactone reduces signs of CNV in patients refractory to anti-VEGF treatment. In animal models of wet AMD, pharmacological inhibition of the MR pathway or endothelial-specific deletion of MR inhibits CNV through VEGF-independent mechanisms, in part through upregulation of the extracellular matrix protein decorin. Intravitreal injections of spironolactone-loaded microspheres and systemic delivery lead to similar reductions in CNV. Together, our work suggests MR inhibition as a novel therapeutic option for wet AMD patients unresponsive to anti-VEGF drugs.

1 April 2021 in Translational Vision Science & Technology
Verified
Journal Article
Open access
PDF file
IMIrmela Mantel
Irmela Mantel
AMAgata Mosinska
Agata Mosinska
CBCiara Bergin
Ciara Bergin
MPMaria Sole Polito
Maria Sole Polito
JGJacopo Guidotti
Jacopo Guidotti
SZSandro De Zanet
Sandro De Zanet
Purpose: To develop a reliable algorithm for the automated identification, localization, and volume measurement of exudative manifestations in neovascular age-related macular degeneration (nAMD), including intraretinal (IRF), subretinal fluid (SRF), and pigment epithelium detachment (PED), using a deep-learning approach. Methods: One hundred seven spectral domain optical coherence tomography (OCT) cube volumes were extracted from nAMD eyes. Manual annotation of IRF, SRF, and PED was performed. Ninety-two OCT volumes served as training and validation set, and 15 OCT volumes from different patients as test set. The performance of our fluid segmentation method was quantified by means of pixel-wise metrics and volume correlations and compared to other methods. Repeatability was tested on 42 other eyes with five OCT volume scans acquired on the same day. Results: The fully automated algorithm achieved good performance for the detection of IRF, SRF, and PED. The area under the curve for detection, sensitivity, and specificity was 0.97, 0.95, and 0.99, respectively. The correlation coefficients for the fluid volumes were 0.99, 0.99, and 0.91, respectively. The Dice score was 0.73, 0.67, and 0.82, respectively. For the largest volume quartiles the Dice scores were >0.90. Including retinal layer segmentation contributed positively to the performance. The repeatability of volume prediction showed a standard deviations of 4.0 nL, 3.5 nL, and 20.0 nL for IRF, SRF, and PED, respectively. Conclusions: The deep-learning algorithm can simultaneously acquire a high level of performance for the identification and volume measurements of IRF, SRF, and PED in nAMD, providing accurate and repeatable predictions. Including layer segmentation during training and squeeze-excite block in the network architecture were shown to boost the performance. Translational Relevance: Potential applications include measurements of specific fluid compartments with high reproducibility, assistance in treatment decisions, and the diagnostic or scientific evaluation of relevant subgroups.

1 December 2009 in American Journal of Ophthalmology
Verified
Journal Article
Closed access
IMIrmela Mantel
Irmela Mantel
SUSylvie Uffer
Sylvie Uffer
LZLeonidas Zografos
Leonidas Zografos

26 June 2012 in Graefe's Archive for Clinical and Experimental Ophthalmology
Verified
Journal Article
Closed access
PDF file
IMIrmela Mantel
Irmela Mantel
ADAngeliki Deli
Angeliki Deli
KIKatia Iglesias
Katia Iglesias
AAAude Ambresin
Aude Ambresin

1 May 2012 in American Journal of Ophthalmology
Verified
Journal Article
Closed access
IMIrmela Mantel
Irmela Mantel
ASAnn Schalenbourg
Ann Schalenbourg
LZLeonidas Zografos
Leonidas Zografos