To the Editor:

To improve the precision of visual acuity charts, individual letter scoring is recommended [1]. The interval of interest is divided into equal steps according to the number of letters in the interval (linear interpolation).

Tiew et al. [2]. describe a method of assigning 0.02 logMAR to each Snellen letter, the value typically assigned to individual letters on the ETDRS chart [3], which has 5 letters per line on every line, unlike the Snellen chart.

We examined two different methods of scoring individual letters on a Snellen chart. Firstly, each letter was scored using linear interpolation. The value of each letter was calculated by dividing the total logMAR value of the interval by the number of letters in the interval. Secondly, the method described by Tiew et al. was employed. The magnitude of ‘error’ was calculated for each letter by subtracting the results of one method from the other.

Snellen charts with and without the 6/7.5 line were examined using both ‘plus’ and ‘minus’ notation (e.g. 6/60+1 vs. 6/36−1).

Results

The logMAR value of each letter calculated by linear interpolation varied and did not stay as 0.02 logMAR consistently, ranging between 0.01 to 0.11. The largest error caused by the method described by Tiew et al. departing from linear interpolation was ± 0.09 logMAR. See Table 1 for other examples.

Table 1 Examples of the potential errors arising from use of the method described by Tiew et al. compared with linear interpolation.

Identical Snellen values, using plus and minus notation, such as 6/6+4 and 6/5−4, produced different logMAR values.

If the multiplication of gained or missed letters by the coefficient of 0.02 exceeded the difference between the two lines’ logMAR equivalents, then the formula proposed by Tiew et al. generated implausible values, e.g. 6/6+5 produced a better logMAR value than 6/5.

The method used by Tiew et al. was consistent only for the 6/12 to 6/9 interval, because the value of the whole interval (0.12) divided by the number of available letters (6) was 0.02.

Compared to conversion by linear interpolation, the method described by Tiew et al. performed inconsistently. In estimating logMAR values, the number of letters in each interval must be considered and analysis tailored to the particular chart used on a line-by-line basis.