Dynamic contrast-enhanced MRI model selection for predicting tumor aggressiveness in papillary thyroid cancers Journal Article


Authors: Paudyal, R.; Lu, Y.; Hatzoglou, V.; Moreira, A.; Stambuk, H. E.; Oh, J. H.; Cunanan, K. M.; Aramburu Nunez, D.; Mazaheri, Y.; Gonen, M.; Ho, A.; Fagin, J. A.; Wong, R. J.; Shaha, A.; Tuttle, R. M.; Shukla-Dave, A.
Article Title: Dynamic contrast-enhanced MRI model selection for predicting tumor aggressiveness in papillary thyroid cancers
Abstract: The purpose of this study was to identify the optimal tracer kinetic model from T1-weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data and evaluate whether parameters estimated from the optimal model predict tumor aggressiveness determined from histopathology in patients with papillary thyroid carcinoma (PTC) prior to surgery. In this prospective study, 18 PTC patients underwent pretreatment DCE-MRI on a 3 T MR scanner prior to thyroidectomy. This study was approved by the institutional review board and informed consent was obtained from all patients. The two-compartment exchange model, compartmental tissue uptake model, extended Tofts model (ETM) and standard Tofts model were compared on a voxel-wise basis to determine the optimal model using the corrected Akaike information criterion (AICc) for PTC. The optimal model is the one with the lowest AICc. Statistical analysis included paired and unpaired t-tests and a one-way analysis of variance. Bonferroni correction was applied for multiple comparisons. Receiver operating characteristic (ROC) curves were generated from the optimal model parameters to differentiate PTC with and without aggressive features, and AUCs were compared. ETM performed best with the lowest AICc and the highest Akaike weight (0.44) among the four models. ETM was preferred in 44% of all 3419 voxels. The ETM estimates of Ktrans in PTCs with the aggressive feature extrathyroidal extension (ETE) were significantly higher than those without ETE (0.78 ± 0.29 vs. 0.34 ± 0.18 min−1, P = 0.005). From ROC analysis, cut-off values of Ktrans, ve and vp, which discriminated between PTCs with and without ETE, were determined at 0.45 min−1, 0.28 and 0.014 respectively. The sensitivities and specificities were 86 and 82% (Ktrans), 71 and 82% (ve), and 86 and 55% (vp), respectively. Their respective AUCs were 0.90, 0.71 and 0.71. We conclude that ETM Ktrans has shown potential to classify tumors with and without aggressive ETE in patients with PTC. © 2019 John Wiley & Sons, Ltd.
Keywords: adult; clinical article; controlled study; aged; cancer patient; magnetic resonance imaging; prospective study; sensitivity and specificity; tumors; thyroidectomy; cancer tissue; informed consent; dynamic contrast-enhanced magnetic resonance imaging; thyroid papillary carcinoma; diseases; kinetic theory; receiver operating characteristic; kinetic parameters; perfusion; permeability; diagnostic test accuracy study; aggressiveness; papillary thyroid cancer; dynamic contrast enhanced magnetic resonance imaging; human; male; female; priority journal; article; akaike information criterion; tracer kinetic modeling; tracer kinetic model; mechanical permeability
Journal Title: NMR in Biomedicine
Volume: 33
Issue: 1
ISSN: 0952-3480
Publisher: John Wiley & Sons  
Date Published: 2020-01-01
Start Page: e4166
Language: English
DOI: 10.1002/nbm.4166
PUBMED: 31680360
PROVIDER: scopus
PMCID: PMC7687051
DOI/URL:
Notes: Source: Scopus
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MSK Authors
  1. James A Fagin
    181 Fagin
  2. Ashok R Shaha
    698 Shaha
  3. Mithat Gonen
    1029 Gonen
  4. Robert M Tuttle
    482 Tuttle
  5. Hilda Stambuk
    48 Stambuk
  6. Richard J Wong
    415 Wong
  7. Amita Dave
    138 Dave
  8. Jung Hun Oh
    187 Oh
  9. Alan Loh Ho
    238 Ho
  10. Kristen   Cunanan
    16 Cunanan
  11. Ramesh Paudyal
    39 Paudyal