Literature DB >> 35885677

Correction: Rizzo et al. Artificial Intelligence and OCT Angiography in Full Thickness Macular Hole. New Developments for Personalized Medicine. Diagnostics 2021, 11, 2319.

Stanislao Rizzo1,2,3, Alfonso Savastano1,2, Jacopo Lenkowicz4, Maria Cristina Savastano1,2, Luca Boldrini2,4, Daniela Bacherini5, Benedetto Falsini1,2, Vincenzo Valentini2,4.   

Abstract

In the original publication [...].

Entities:  

Year:  2022        PMID: 35885677      PMCID: PMC9322612          DOI: 10.3390/diagnostics12071593

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


Figure Legend

In the original publication [1], there was a mistake in the legend for Figure 8. Values for C1 and C2 were inverted. The correct legend appears below. Figure 8 legend becomes: Clustering analysis from Inception V3 deep learning features based on combined superficial and deep OCT-As. The mean 1-year BVCA for C1 and C2 was 66.67 and 49.1, respectively, with a t-test p-value equal to 0.005.

Error in Table

In the original publication, there was a mistake in Table 2 as published. Values for C1 and C2 were inverted. The corrected Table 2 appears below.
Table 2

Distribution of 1-year visual acuity score in the two image clusters for the different CNN types. * p < 0.05; ** p < 0.01.

CNN TypeImage Type1-Year Visual Acuity Mean (Standard Deviation)—Cluster 11-Year Visual Acuity Mean (Standard Deviation)—Cluster 2t-Test p-Value
Inception V3Superficial Images59.64 (18.40)51.52 (20.50)0.252
Deep Images61.70 (17.20)49.87 (20.50)0.081
Superficial + Deep Images66.67 (16.00)49.10 (18.60)0.005 **
VGG-16Superficial Images62.29 (15.90)52.86 (20.80)0.139
Deep Images59.96 (17.6)43.29 (21.40)0.092
Superficial + Deep Images63.85 (15.40)52.36 (20.50)0.070
VGG-19Superficial Images67.80 (11.90)52.16 (20.20)0.008 **
Deep Images60.50 (18.20)45.44 (19.20)0.060
Superficial + Deep Images59.92 (14.00)54.91 (21.70)0.416
SqueezeNetSuperficial Images59.03 (18.00)45.00 (22.40)0.196
Deep Images---
Superficial + Deep Images66.90 (13.4)52.52 (20.10)0.021 *
Distribution of 1-year visual acuity score in the two image clusters for the different CNN types. * p < 0.05; ** p < 0.01.

Text Correction

There was an error in the original publication. Values for C1 and C2 were inverted. A correction has been made to Abstract, sentence: best-corrected visual acuity (BCVA) C1 = 49.10 (18.60 SD) and BCVA C2 = 66.67 (16.00 SD, p = 0.005) The sentence becomes: best-corrected visual acuity (BCVA) C1 = 66.67 (16.00 SD) and BCVA C2 = 49.10 (18.60 SD, p = 0.005). A correction has been made to Results, Paragraph 9, sentence: In this configuration, the mean of letters for C1 and C2 was 49.1 and 66.67, respectively, with a t-test p-value equal to 0.005 (Figure 8) The sentence becomes: In this configuration, the mean of letters for C1 and C2 was 66.67 and 49.1, respectively, with a t-test p-value equal to 0.005 (Figure 8). The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
  1 in total

1.  Artificial Intelligence and OCT Angiography in Full Thickness Macular Hole. New Developments for Personalized Medicine.

Authors:  Stanislao Rizzo; Alfonso Savastano; Jacopo Lenkowicz; Maria Cristina Savastano; Luca Boldrini; Daniela Bacherini; Benedetto Falsini; Vincenzo Valentini
Journal:  Diagnostics (Basel)       Date:  2021-12-09
  1 in total

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