In:
Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2021-3-12)
Kurzfassung:
This study aims to explore the utility of whole-lesion apparent diffusion coefficient (ADC) histogram analysis for differentiating nasopharyngeal lymphoma (NPL) from nasopharyngeal carcinoma (NPC) following readout-segmented echo-planar diffusion-weighted imaging (RESOLVE sequence). Methods Thirty-eight patients with NPL and 62 patients with NPC, who received routine head-and-neck MRI and RESOLVE (b-value: 0 and 1,000 s/mm 2 ) examinations, were retrospectively evaluated as derivation cohort (February 2015 to August 2018); another 23 patients were analyzed as validation cohort (September 2018 to December 2019). The RESOLVE data were obtained from the MAGNETOM Skyra 3T MR system (Siemens Healthcare, Erlangen, Germany). Fifteen parameters derived from the whole-lesion histogram analysis (ADC mean , variance, skewness, kurtosis, ADC 1 , ADC 10 , ADC 20 , ADC 30 , ADC 40 , ADC 50 , ADC 60 , ADC 70 , ADC 80 , ADC 90 , and ADC 99 ) were calculated for each patient. Then, statistical analyses were performed between the two groups to determine the statistical significance of each histogram parameter. A receiver operating characteristic curve (ROC) analysis was conducted to assess the diagnostic performance of each histogram parameter for distinguishing NPL from NPC and further tested in the validation cohort; calibration of the selected parameter was tested with Hosmer–Lemeshow test. Results NPL exhibited significantly lower ADC mean , variance, ADC 1 , ADC 10 , ADC 20 , ADC 30 , ADC 40 , ADC 50 , ADC 60 , ADC 70 , ADC 80 , ADC 90 and ADC 99 , when compared to NPC (all, P & lt; 0.05), while no significant differences were found on skewness and kurtosis. Furthermore, ADC 99 revealed the highest diagnostic efficiency, followed by ADC 10 and ADC 20 . Optimal diagnostic performance (AUC = 0.790, sensitivity = 91.9%, and specificity = 63.2%) could be achieved when setting ADC 99 = 1,485.0 × 10 −6 mm 2 /s as the threshold value. The predictive performance was maintained in the validation cohort (AUC = 0.817, sensitivity = 94.6%, and specificity = 56.2%) Conclusion Whole-lesion ADC histograms based on RESOLVE are effective in differentiating NPC from NPL.
Materialart:
Online-Ressource
ISSN:
2234-943X
DOI:
10.3389/fonc.2021.632796
Sprache:
Unbekannt
Verlag:
Frontiers Media SA
Publikationsdatum:
2021
ZDB Id:
2649216-7
