PMID- 34201045
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210705
IS  - 2075-4426 (Print)
IS  - 2075-4426 (Electronic)
IS  - 2075-4426 (Linking)
VI  - 11
IP  - 6
DP  - 2021 Jun 8
TI  - Accuracy of a Machine-Learning Algorithm for Detecting and Classifying Choroidal 
      Neovascularization on Spectral-Domain Optical Coherence Tomography.
LID - 10.3390/jpm11060524 [doi]
LID - 524
AB  - BACKGROUND: To evaluate the performance of a machine-learning (ML) algorithm to 
      detect and classify choroidal neovascularization (CNV), secondary to age-related 
      macular degeneration (AMD) on spectral-domain optical coherence tomography 
      (SD-OCT) images. METHODS: Baseline fluorescein angiography (FA) and SD-OCT images 
      from 1037 treatment-naive study eyes and 531 fellow eyes, without advanced AMD 
      from the phase 3 HARBOR trial (NCT00891735), were used to develop, train, and 
      cross-validate an ML pipeline combining deep-learning-based segmentation of 
      SD-OCT B-scans and CNV classification, based on features derived from the 
      segmentations, in a five-fold setting. FA classification of the CNV phenotypes 
      from HARBOR was used for generating the ground truth for model development. 
      SD-OCT scans from the phase 2 AVENUE trial (NCT02484690) were used to externally 
      validate the ML model. RESULTS: The ML algorithm discriminated CNV absence from 
      CNV presence, with a very high accuracy (area under the receiver operating 
      characteristic [AUROC] = 0.99), and classified occult versus predominantly 
      classic CNV types, per FA assessment, with a high accuracy (AUROC = 0.91) on 
      HARBOR SD-OCT images. Minimally classic CNV was discriminated with significantly 
      lower performance. Occult and predominantly classic CNV types could be 
      discriminated with AUROC = 0.88 on baseline SD-OCT images of 165 study eyes, with 
      CNV from AVENUE. CONCLUSIONS: Our ML model was able to detect CNV presence and 
      CNV subtypes on SD-OCT images with high accuracy in patients with neovascular 
      AMD.
FAU - Maunz, Andreas
AU  - Maunz A
AUID- ORCID: 0000-0002-2784-9456
AD  - Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La 
      Roche Ltd., 4070 Basel, Switzerland.
FAU - Benmansour, Fethallah
AU  - Benmansour F
AD  - Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La 
      Roche Ltd., 4070 Basel, Switzerland.
FAU - Li, Yvonna
AU  - Li Y
AD  - Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La 
      Roche Ltd., 4070 Basel, Switzerland.
FAU - Albrecht, Thomas
AU  - Albrecht T
AD  - Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La 
      Roche Ltd., 4070 Basel, Switzerland.
FAU - Zhang, Yan-Ping
AU  - Zhang YP
AD  - Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La 
      Roche Ltd., 4070 Basel, Switzerland.
FAU - Arcadu, Filippo
AU  - Arcadu F
AD  - Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La 
      Roche Ltd., 4070 Basel, Switzerland.
FAU - Zheng, Yalin
AU  - Zheng Y
AUID- ORCID: 0000-0002-7873-0922
AD  - Department of Eye and Vision Science, University of Liverpool, Liverpool L7 8XP, 
      UK.
AD  - Liverpool Ophthalmic Reading Centre (NetwORC, UK), St. Paul's Eye Unit, Royal 
      Liverpool University Hospital, Liverpool L7 8XP, UK.
FAU - Madhusudhan, Savita
AU  - Madhusudhan S
AD  - Department of Eye and Vision Science, University of Liverpool, Liverpool L7 8XP, 
      UK.
AD  - Liverpool Ophthalmic Reading Centre (NetwORC, UK), St. Paul's Eye Unit, Royal 
      Liverpool University Hospital, Liverpool L7 8XP, UK.
FAU - Sahni, Jayashree
AU  - Sahni J
AD  - Pharma Research and Early Development, Roche Innovation Center, F. Hoffmann-La 
      Roche Ltd., 4070 Basel, Switzerland.
LA  - eng
SI  - ClinicalTrials.gov/NCT02484690
PT  - Journal Article
DEP - 20210608
PL  - Switzerland
TA  - J Pers Med
JT  - Journal of personalized medicine
JID - 101602269
PMC - PMC8227725
OTO - NOTNLM
OT  - age-related macular degeneration
OT  - choroidal neovascularization
OT  - classification
OT  - machine learning
OT  - optical coherence tomography
COIS- A. Maunz, F. Benmansour, Y. Li, T. Albrecht, Y.-P. Zhang, F. Arcadu, and J. 
      Sahni, F. Hoffmann-La Roche Ltd., Basel, Switzerland (E); Y. Zheng, F. 
      Hoffmann-La Roche Ltd., Basel, Switzerland (F); S. Madhusudhan, F. Hoffmann-La 
      Roche Ltd., Basel, Switzerland (F).
EDAT- 2021/07/03 06:00
MHDA- 2021/07/03 06:01
PMCR- 2021/06/08
CRDT- 2021/07/02 01:09
PHST- 2021/04/21 00:00 [received]
PHST- 2021/05/28 00:00 [revised]
PHST- 2021/06/07 00:00 [accepted]
PHST- 2021/07/02 01:09 [entrez]
PHST- 2021/07/03 06:00 [pubmed]
PHST- 2021/07/03 06:01 [medline]
PHST- 2021/06/08 00:00 [pmc-release]
AID - jpm11060524 [pii]
AID - jpm-11-00524 [pii]
AID - 10.3390/jpm11060524 [doi]
PST - epublish
SO  - J Pers Med. 2021 Jun 8;11(6):524. doi: 10.3390/jpm11060524.