Early-stage pediatric nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) can be treated effectively with low-intensity chemotherapy, most frequently cyclophosphamide in combination with vinblastine and prednisone (CVP). Descriptive histological risk factors based on the disease-defining lymphocyte predominant cells (LP cells) as used within the Fan classification, are less predictive in early-stage patients. We used deep learning-based cell detection and spatial analysis on digitized biopsy slides from 53 early-stage pediatric NLPHL patients to quantitatively assess LP cell histomorphometry. We found that poor responding patients had significantly fewer LP cells per cluster and lower LP cell density than good responding patients. In our exploratory analysis, we found no correlation between Fan classes or B cell pattern variables and therapy response. We hypothesize that the relationship between poor treatment response and decreased LP cell density may be explained by differences in LP cell proliferation.