Here is a slightly more efficient way to split a list of integers. First, create a numbers table, if you don't already have one. This will create a table with 100,000 unique integers (you may need more or less):
;WITH x AS
(
   SELECT TOP (1000000) Number = ROW_NUMBER() OVER 
   (ORDER BY s1.[object_id])
   FROM sys.all_objects AS s1 CROSS JOIN sys.all_objects AS s2
   ORDER BY s1.[object_id]
)
SELECT Number INTO dbo.Numbers FROM x;
CREATE UNIQUE CLUSTERED INDEX n ON dbo.Numbers(Number);
Then a function:
CREATE FUNCTION [dbo].[SplitInts_Numbers]
(
   @List       NVARCHAR(MAX),
   @Delimiter  NVARCHAR(255)
)
RETURNS TABLE
WITH SCHEMABINDING
AS
   RETURN
   (
       SELECT Item = CONVERT(INT, SUBSTRING(@List, Number,
         CHARINDEX(@Delimiter, @List + @Delimiter, Number) - Number))
       FROM dbo.Numbers
       WHERE Number <= CONVERT(INT, LEN(@List))
         AND SUBSTRING(@Delimiter + @List, Number, 1) = @Delimiter
   );
You can compare the performance to an iterative approach here:
http://sqlfiddle.com/#!3/960d2/1
To avoid the numbers table, you can also try an XML-based version of the function - it is more compact but less efficient:
CREATE FUNCTION [dbo].[SplitInts_XML]
(
   @List       VARCHAR(MAX),
   @Delimiter  CHAR(1)
)
RETURNS TABLE
WITH SCHEMABINDING
AS
   RETURN ( SELECT Item = CONVERT(INT, Item) FROM ( 
     SELECT Item = x.i.value('(./text())[1]', 'int') FROM ( 
       SELECT [XML] = CONVERT(XML, '<i>' + REPLACE(@List, @Delimiter, '</i><i>') 
       + '</i>').query('.') ) AS a CROSS APPLY [XML].nodes('i') AS x(i)) AS y
     WHERE Item IS NOT NULL
   );
Anyway once you have a function you can simply say:
WHERE ID IN (SELECT Item FROM dbo.SplitInts_Numbers(@MyList, ','));