diff --git a/monai/data/box_utils.py b/monai/data/box_utils.py
index 2f4a1426a9..b344434715 100644
--- a/monai/data/box_utils.py
+++ b/monai/data/box_utils.py
@@ -1035,8 +1035,8 @@ def spatial_crop_boxes(
     # convert to float32 since torch.clamp_ does not support float16
     boxes_t = boxes_t.to(dtype=COMPUTE_DTYPE)
 
-    roi_start_t = convert_to_dst_type(src=roi_start, dst=boxes_t, wrap_sequence=True)[0].to(torch.int16)
-    roi_end_t = convert_to_dst_type(src=roi_end, dst=boxes_t, wrap_sequence=True)[0].to(torch.int16)
+    roi_start_t = convert_to_dst_type(src=roi_start, dst=boxes_t, wrap_sequence=True)[0]
+    roi_end_t = convert_to_dst_type(src=roi_end, dst=boxes_t, wrap_sequence=True)[0]
     roi_end_t = torch.maximum(roi_end_t, roi_start_t)
 
     # makes sure the bounding boxes are within the patch
diff --git a/tests/data/test_box_utils.py b/tests/data/test_box_utils.py
index 30136d4f1b..71e3270187 100644
--- a/tests/data/test_box_utils.py
+++ b/tests/data/test_box_utils.py
@@ -35,6 +35,7 @@
     convert_box_mode,
     convert_box_to_standard_mode,
     non_max_suppression,
+    spatial_crop_boxes,
 )
 from monai.utils.type_conversion import convert_data_type
 from tests.test_utils import TEST_NDARRAYS, assert_allclose
@@ -269,6 +270,20 @@ def test_integer_truncation_bug(self):
         self.assertTrue(np.issubdtype(iou.dtype, np.floating))
         self.assertGreater(iou[0, 0], 0.0, "IoU should not be truncated to 0")
 
+    def test_large_coordinates_are_not_dropped(self):
+        """Verify large-coordinate boxes are preserved by cropping and clipping."""
+        boxes = torch.tensor([[41000.0, 5000.0, 45000.0, 15000.0]], dtype=torch.float32)
+
+        cropped_boxes, keep = spatial_crop_boxes(
+            boxes=boxes, roi_start=[40000, 0], roi_end=[50000, 20000], remove_empty=True
+        )
+        assert_allclose(keep, torch.tensor([True]))
+        assert_allclose(cropped_boxes, torch.tensor([[1000.0, 5000.0, 5000.0, 15000.0]]))
+
+        clipped_boxes, keep = clip_boxes_to_image(boxes=boxes, spatial_size=[50000, 50000], remove_empty=True)
+        assert_allclose(keep, torch.tensor([True]))
+        assert_allclose(clipped_boxes, boxes)
+
 
 class TestBatchedNms(unittest.TestCase):
     @parameterized.expand(TEST_NDARRAYS)