diff --git a/nnunetv2/training/nnUNetTrainer/variants/loss/nnUNetTrainerSkeletonRecall.py b/nnunetv2/training/nnUNetTrainer/variants/loss/nnUNetTrainerSkeletonRecall.py
index b508bb5..ffa8b1f 100644
--- a/nnunetv2/training/nnUNetTrainer/variants/loss/nnUNetTrainerSkeletonRecall.py
+++ b/nnunetv2/training/nnUNetTrainer/variants/loss/nnUNetTrainerSkeletonRecall.py
@@ -39,11 +39,14 @@
 from batchgeneratorsv2.transforms.utils.seg_to_regions import ConvertSegmentationToRegionsTransform
 from nnunetv2.training.data_augmentation.custom_transforms.skeletonization import SkeletonTransform
 
+
 class nnUNetTrainerSkeletonRecall(nnUNetTrainer):
     def __init__(self, plans: dict, configuration: str, fold: int, dataset_json: dict, unpack_dataset: bool = True,
                  device: torch.device = torch.device('cuda')):
         super().__init__(plans, configuration, fold, dataset_json, unpack_dataset, device)
         self.weight_srec = 1 # This is the default value, you can change it if you want
+        if self.label_manager.has_regions:
+            raise NotImplementedError("trainer not implemented for regions")
 
     def _build_loss(self):
         if self.label_manager.ignore_label is not None: