diff --git a/monai/handlers/utils.py b/monai/handlers/utils.py
index 58a3fd36f3..0cd31b89c2 100644
--- a/monai/handlers/utils.py
+++ b/monai/handlers/utils.py
@@ -61,6 +61,7 @@ def write_metrics_reports(
     summary_ops: str | Sequence[str] | None,
     deli: str = ",",
     output_type: str = "csv",
+    class_labels: list[str] | None = None,
 ) -> None:
     """
     Utility function to write the metrics into files, contains 3 parts:
@@ -94,6 +95,8 @@ class    mean    median    max    5percentile 95percentile  notnans
         deli: the delimiter character in the saved file, default to "," as the default output type is `csv`.
             to be consistent with: https://docs.python.org/3/library/csv.html#csv.Dialect.delimiter.
         output_type: expected output file type, supported types: ["csv"], default to "csv".
+        class_labels: list of class names used to name the classes in the output report, if None,
+            "class0", ..., "classn" are used, default to None.
 
     """
     if output_type.lower() != "csv":
@@ -118,7 +121,12 @@ class    mean    median    max    5percentile 95percentile  notnans
                 v = v.reshape((-1, 1))
 
             # add the average value of all classes to v
-            class_labels = ["class" + str(i) for i in range(v.shape[1])] + ["mean"]
+            if class_labels is None:
+                class_labels = ["class" + str(i) for i in range(v.shape[1])]
+            else:
+                class_labels = [str(i) for i in class_labels]  # ensure to have a list of str
+
+            class_labels += ["mean"]
             v = np.concatenate([v, np.nanmean(v, axis=1, keepdims=True)], axis=1)
 
             with open(os.path.join(save_dir, f"{k}_raw.csv"), "w") as f: