Change the order of legend using ggSurvit R's package

Question

I am having some trouble reordering the appearance of the risk table in a plot made with the ggcuminc function of the ggSurvit package. I would like to have ‘Resection’ displayed above and ‘MWA’ below.

Here you can see the plot: CIF of LC

Below the code to create the plot:

# Plot the CIF curves for each group
cuminc(Surv(LC_from_local_treatment_per_tumor, Loss_of_local_control) ~ Treatment_type_tumor_near_gallbladder, efficacy_df_CIF) %>%
  ggcuminc(outcome = c("Event", "Competing Event")) +
  # add_confidence_interval() +
  scale_color_manual(values = c("#A81D24", "#FFD700")) +
  add_risktable() +
  coord_cartesian(ylim = c(0, 1)) +
  add_censor_mark(size = 2, alpha = 0.2) +
  scale_ggsurvfit() +
  labs(title = "CIF for Local Control (LC) per tumor") +
  theme(plot.title = element_text(hjust = 0.5)) + # Center the title
  add_pvalue(caption = "Gray's Test (Event) p={round(glance(cif_LC)$p.value_1, digits=3)}")

For some reason, even though ‘Resection’ is set as the reference level in the dataframe, ‘MWA’ appears above ‘Resection’ in the risk table below the graph. I also tried changing the order of levels in the dataset, but it didn’t resolve the issue. Interestingly, when I plot a Kaplan-Meier curve using the same dataset, the risk table is displayed correctly.

Below the code to plot the K-M curves:

# Plot the survival curve
sf <- survfit2(Surv(LC_from_local_treatment_per_tumor, Loss_of_local_control == "Event") ~ Treatment_type_tumor_near_gallbladder, data = efficacy_df_CIF)
sf %>%
  ggsurvfit() +
  add_risktable() +
  # add_confidence_interval() +
  scale_color_manual(values = c("#A81D24", "#FFD700")) +
  add_censor_mark(size = 2, alpha = 0.2) +
  scale_ggsurvfit() +
  labs(title = "K-M curves for Loss of Local Control (LLC) per tumor") +
  labs(caption = glue::glue("Log-rank {survfit2_p(sf)}")) +
  theme(plot.title = element_text(hjust = 0.5))  # Center the title
# annotate("text", x = 2, y = 0.05, label = glue::glue("{survfit2_p(sf)}"))  # Add p-value to the plot

Here you can see the plot: K-M of LC

Is there a way to change the order of labels in the first plot?