Background <p>Despite robust response assessment validation of Liver Imaging Reporting and Data System Treatment Response Algorithm (LI-RADS TRA) version 2024, a critical evidence gap exists for its prognostic value in non-radiation hepatocellular carcinoma (HCC) therapies. Conventional response assessment criteria (RECIST, mRECIST) focus on morphologic changes, not tumor viability.</p> Purpose <p>To evaluate the prognostic implications of LI-RADS TRA v2024 versus RECIST and mRECIST for predicting overall survival and time to progression in HCC patients treated with trans-arterial chemoembolization (TACE), and to assess whether quantitative enhancement reduction augments prognostic stratification.</p> Methods <p>A total of 105 HCC patients undergoing TACE with multi-phasic contrast-enhanced CT were included. Four board-certified radiologists independently assessed tumor response using LI-RADS TRA v2024, RECIST, and mRECIST criteria.</p> Results <p>LI-RADS TRA demonstrated convergent prognostic discrimination for overall survival, with non-responders achieving mean survival of 719.8 days versus responders 1,002.1 days (<i>p</i> = 0.014; hazard ratio 1.63). In contrast, RECIST (<i>p</i> = 0.670, hazard ratio 0.72) and mRECIST (<i>p</i> = 0.457, hazard ratio 1.16) showed negligible stratification. Importantly, LI-RADS TRA exhibited weak discrimination for time to progression (<i>p</i> = 0.095). Incorporating quantitative enhancement-size change from pre-TACE to post-TACE (%) substantially enhanced LI-RADS TRA prognostic performance for survival (HR 1.91, <i>p</i> = 0.026), but not progression prediction.</p> Conclusion <p>LI-RADS TRA v2024 outperforms conventional size-based and enhancement-duration criteria for mortality risk stratification in TACE-treated HCC, reflecting mechanistic potential of viability-based assessment. However, imaging response predicts cumulative mortality, not progression timing. Integration of quantitative enhancement metrics refines risk stratification for surveillance planning.</p>

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LI-RADS TRA v2024 succeeds where RECIST and mRECIST fail: viability-based survival prediction in TACE-treated hepatocellular carcinoma

  • Alisa Mohebbi,
  • Mehrad Zare,
  • Afshin Mohammadi,
  • Neda Pak

摘要

Background

Despite robust response assessment validation of Liver Imaging Reporting and Data System Treatment Response Algorithm (LI-RADS TRA) version 2024, a critical evidence gap exists for its prognostic value in non-radiation hepatocellular carcinoma (HCC) therapies. Conventional response assessment criteria (RECIST, mRECIST) focus on morphologic changes, not tumor viability.

Purpose

To evaluate the prognostic implications of LI-RADS TRA v2024 versus RECIST and mRECIST for predicting overall survival and time to progression in HCC patients treated with trans-arterial chemoembolization (TACE), and to assess whether quantitative enhancement reduction augments prognostic stratification.

Methods

A total of 105 HCC patients undergoing TACE with multi-phasic contrast-enhanced CT were included. Four board-certified radiologists independently assessed tumor response using LI-RADS TRA v2024, RECIST, and mRECIST criteria.

Results

LI-RADS TRA demonstrated convergent prognostic discrimination for overall survival, with non-responders achieving mean survival of 719.8 days versus responders 1,002.1 days (p = 0.014; hazard ratio 1.63). In contrast, RECIST (p = 0.670, hazard ratio 0.72) and mRECIST (p = 0.457, hazard ratio 1.16) showed negligible stratification. Importantly, LI-RADS TRA exhibited weak discrimination for time to progression (p = 0.095). Incorporating quantitative enhancement-size change from pre-TACE to post-TACE (%) substantially enhanced LI-RADS TRA prognostic performance for survival (HR 1.91, p = 0.026), but not progression prediction.

Conclusion

LI-RADS TRA v2024 outperforms conventional size-based and enhancement-duration criteria for mortality risk stratification in TACE-treated HCC, reflecting mechanistic potential of viability-based assessment. However, imaging response predicts cumulative mortality, not progression timing. Integration of quantitative enhancement metrics refines risk stratification for surveillance planning.