Nomogram predicting No-ER rates for intermediate‐ to high‐risk DTC pati - Evidencio
Nomogram predicting No-ER rates for intermediate‐ to high‐risk DTC patients receiving RAT.
In recent years, nomograms have emerged as powerful predictive tools in oncology research. By integrating multiple prognostic factors, nomograms provide a visual representation of individualized risk assessments, allowing clinicians to estimate the probability of specific outcomes for patients. By leveraging a large cohort of DTC patients who underwent surgical resection and received RAT, we aim to construct and validate a nomogram that incorporates relevant prognostic factors. The findings from this study hold significant potential for improving clinical management and decision-making in DTC patients. The development of a nomogram will enhance our ability to predict the clinical response to surgery and RAT, leading to more tailored treatment strategies and optimized patient outcomes.
Autores de la investigación: Lu Lu
Versión: 1.7
  • Público
  • Medicina nuclear
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Predicted No-ER risk

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Based on the risk factors from multivariate logistic regression analysis, we constructed a nomogram for predicting the No-ER rate. Each variable was assigned a score on a scale. By adding scores for each of the selected variables, a total score was obtained. Then a vertical line was dropped down from the total points row to estimate the risk of No-ER. The nomogram showed that Tg level, TgAb level, and CLNM were the top 3 contributors to the No-ER, followed by ATA  risk and bilateral foci

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