A digital pathology model for predicting radioiodine-avid metastases on initial post-therapeutic ¹³¹I scan in patients with papillary thyroid cancer.

ABSTRACT: Accurate postoperative assessment is critical for optimizing ¹³¹I therapy in patients with papillary thyroid cancer (PTC). This study aimed to develop a pathology model utilizing postoperative digital pathology slides to predict lymph node and/or distant metastases on post-therapeutic ¹³¹I scan after initial ¹³¹I treatment in PTC patients. A retrospective analysis was conducted on 229 PTC patients who underwent total or near-total thyroidectomy and subsequent ¹³¹I treatment after levothyroxine (LT4) withdrawal between January 2022 and August 2023. The pathology model was developed through two stages: patch-level prediction and WSI-level prediction. The clinical model was constructed using statistically significant variables identified from univar

SUBMITTER: Xue Y 

PROVIDER: S-EPMC11538545 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature