diff --git a/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb b/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb
index a2994843f0..50a11998c2 100644
--- a/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb
+++ b/3d_registration/learn2reg_nlst_paired_lung_ct.ipynb
@@ -19,6 +19,8 @@
     "# MONAI @ Learn2Reg Challenge\n",
     "## NLST Task: Paired Lung CT 3D Registration with Keypoints\n",
     "\n",
+    "### **Update**: MONAI submission [finished 3rd](https://learn2reg.grand-challenge.org/) in the Learn2Reg challenge\n",
+    "\n",
     "This tutorial shows how to use MONAI to register CT images acquired at different time points for a single patient. It is a fully MONAI-based solution for the [NLST track](https://learn2reg.grand-challenge.org/Datasets/) of the [Learn2Reg challenge 2023](https://learn2reg.grand-challenge.org/). The images being registered are taken at inspiration and expiration for each subject. This is an intra subject registration. This type of intra subject registration is useful when there is a need to track certain features on a medical image such as tumor location when conducting invasive procedures. \n",
     "\n",
     "<h4><center>Registration sample from NLST challenge</center></h4>\n",