diff --git a/models/bamf_nnunet_ct_lungnodules/meta.json b/models/bamf_nnunet_ct_lungnodules/meta.json
index 56e8f0e3..3608803f 100644
--- a/models/bamf_nnunet_ct_lungnodules/meta.json
+++ b/models/bamf_nnunet_ct_lungnodules/meta.json
@@ -77,6 +77,10 @@
       "title": "Intended Use",
       "text": "This model is intended to perform lung and nodule segmentation in CT scans. The model has been trained and tested on scans aquired during clinical care of patients, so it might not be suited for a healthy population. The generalization capabilities of the model on a range of ages, genders, and ethnicities are unknown."
     },
+    "analyses": {
+      "title": "Quantitative Analyses",
+      "text": "The model's performance was assessed using the Dice Coefficient, Hausdorff distance and NSD"
+    },
     "evaluation": {
       "title": "Evaluation Data",
       "text": "Quantitative metrics between AI and Radiologists annotations. The model was used to segment cases 1157 from the QIN LUNG CT [1], SPIE-AAPM Lung CT Challenge [2] and NLST [3] collection. 112 of those cases were randomly selected to be reviewed and corrected by a board-certified radiologist.",