Artificial intelligence (AI)–powered spatial analysis of tumor-infiltrating lymphocytes (TIL) for prediction of response to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC).

Lee, Hee Jin; Cho, Soo Yoon; Cho, Eun Yoon; Lim, Yoojoo; Cho, Soo Ick; Jung, Wonkyung; Song, Sanghoon; Kang, Mingu; Ryu, Jeongun; Ma, Minuk; Park, Seonwook; Paeng, Kyunghyun; Ock, Chan-Young; Song, Sang Yong; Gong, Gyungyub

doi:10.1200/jco.2022.40.16_suppl.595

Artificial intelligence (AI)–powered spatial analysis of tumor-infiltrating lymphocytes (TIL) for prediction of response to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC).

595 Background: Stromal TIL are a well-recognized prognostic and predictive biomarker in breast cancer. There is a need for tools assisting visual assessment of TIL, to improve reproducibility as well as for convenience. This study aims to assess the clinical significance of AI-powered spatial TI…