From dimensions through dynamics to outcomes – lymph nodes and skin assessments predict CTCL outcomes

Radiologic nodal staging in CTCL traditionally uses a 1.5 cm longest diameter (LDi) cutoff; however, this lacks validation and may misclassify risk. We conducted a retrospective analysis of 6,095 CT scans from 262 CTCL patients in the MAVORIC trial using unidimensional, bidimensional, and volumetric LN measurements and mSWAT scores. Optimal cutoffs were determined <i>via</i> ROC analysis and landmarking adjusted for informative censoring. Additionally, kinetic modeling growth rates (<i>g</i>) were calculated for both LN and skin scores. We demonstrated that LDi > 1.5 cm did not predict OS (<i>p</i> = 0.8). However, baseline volumetric cutoffs (3,945 mm<sup>3</sup>; AUC = 0.67) stratified OS (median 43.6 months vs NA, log-rank <i>p</i> = 0.035); post‑landmark analysis (6,930 mm<sup>3</sup>) enhanced discrimination. High <i>g</i> (volumetric or mSWAT) independently predicted shorter OS/PFS/TTF (<i>p</i> < 0.05). A combined model (volume + g) had C‑index 0.63 versus 0.60 for volume alone. We conclude that volumetric and dynamic metrics outperform conventional measures in predicting CTCL outcomes. Incorporating these methods into staging and trial criteria is warranted.

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Publication Details

Journal
Leukemia & lymphoma/Leukemia and lymphoma
Published
2025-09-21
DOI
https://doi.org/10.1080/10428194.2025.2553863
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

From dimensions through dynamics to outcomes – lymph nodes and skin assessments predict CTCL outcomes

Mengxi Zhou, Tito Fojo, Hao Yang, Susan E. Bates et al.
Leukemia & lymphoma/Leukemia and lymphoma
Lymphoma Diagnosis and Treatment
article

From dimensions through dynamics to outcomes – lymph nodes and skin assessments predict CTCL outcomes

Mengxi Zhou, Tito Fojo, Hao Yang, Susan E. Bates, Zaid Bilgrami, Lauren M Fahmy, Sara Suhl, Lawrence H. Schwartz, Alexander Kaminsky, Hye Ryung Yang, Larisa J. Geskin, Volkan Beylergil
article en

Abstract

Radiologic nodal staging in CTCL traditionally uses a 1.5 cm longest diameter (LDi) cutoff; however, this lacks validation and may misclassify risk. We conducted a retrospective analysis of 6,095 CT scans from 262 CTCL patients in the MAVORIC trial using unidimensional, bidimensional, and volumetric LN measurements and mSWAT scores. Optimal cutoffs were determined <i>via</i> ROC analysis and landmarking adjusted for informative censoring. Additionally, kinetic modeling growth rates (<i>g</i>) were calculated for both LN and skin scores. We demonstrated that LDi > 1.5 cm did not predict OS (<i>p</i> = 0.8). However, baseline volumetric cutoffs (3,945 mm<sup>3</sup>; AUC = 0.67) stratified OS (median 43.6 months vs NA, log-rank <i>p</i> = 0.035); post‑landmark analysis (6,930 mm<sup>3</sup>) enhanced discrimination. High <i>g</i> (volumetric or mSWAT) independently predicted shorter OS/PFS/TTF (<i>p</i> < 0.05). A combined model (volume + g) had C‑index 0.63 versus 0.60 for volume alone. We conclude that volumetric and dynamic metrics outperform conventional measures in predicting CTCL outcomes. Incorporating these methods into staging and trial criteria is warranted.

Leukemia & lymphoma/Leukemia and lymphomaVol. 66(13)
Memorial Sloan Kettering Cancer Center (US), Columbia University Irving Medical Center (US), James J. Peters VA Medical Center (US), Columbia College (CA), Royal College of Physicians (GB), Columbia University (US)
Openalex Percentile: Top 63%
Lymphoma Diagnosis and Treatment
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