1. Can semi-quantitative evaluation of uncertain (type II) time-intensity curves improve diagnosis in breast DCE-MRI?
- Author
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Roberta Fusco, Salvatore Filice, Annamaria Porto, Vincenza Granata, Massimiliano D’Aiuto, Carlo Sansone, Antonio Rotondo, Y. Mandato, Antonella Petrillo, Mario Sansone, Massimo Rinaldo, Maurizio Di Bonito, Roberta, Fusco, Salvatore, Filice, Vincenza, Granata, Ylenia, Mandato, Annamaria, Porto, Massimiliano, D’Aiuto, Massimo, Rinaldo, Maurizio Di, Bonito, Sansone, Mario, Sansone, Carlo, Antonio, Rotondo, and Antonella, Petrillo
- Subjects
Tics ,medicine.diagnostic_test ,business.industry ,medicine.disease ,nervous system diseases ,body regions ,symbols.namesake ,Breast cancer ,McNemar's test ,mental disorders ,Dynamic contrast-enhanced MRI ,Biopsy ,medicine ,symbols ,Time intensity curve ,Nuclear medicine ,business ,Semi quantitative ,Fisher's exact test - Abstract
Qualitative assessment of un- certain (type II) time-intensity curves (TICs) in breast DCE-MRI is problematic and operator dependent. The aim of this work is to evaluate if a semi-quanti- tative assessment of uncertain TICs could improve overall diagnostic performance. Methods: In this study 49 lesions from 44 patients were retrospectively analysed. Per each lesion one region-of-interest (ROI)- averaged TIC was qualitatively evaluated by two ra- diologists in consensus: all the ROIs resulted in type II (uncertain) TIC. The same TICs were semi-quan- titatively re-classified on the basis of the difference between the signal intensities of the last-time-point and of the peak: this difference was classified accord- ing to two different cut-off ranges (±5% and ±3%). All patients were cytological or histological biopsy proven. Fisher test and McNemar test were per- formed to evaluate if results were statistically signifi- cant (p < 0.05). Results: Using ±5% cut-off 16 TICs were reclassified as type III and 12 as type I while 21 were reclassified again as type II. Using ±3% 22 TICs were reclassified as type III and 16 as type I while 11 were reclassified again as type II. The semi-quantita- tive classification was compared to the histological- cytological results: the sensitivity, specificity, positive and negative predictive values obtained with ±3% were 77%, 91%, 91% and 78% respectively while using ±5% were 58%, 96%, 94% and 68% respec- tively. Using the ±5% cut-off 26/28 (93%) TICs were correctly reclassified while using the ±3% cut-off 34/38 (90%) TICs were correctly reclassified (p < 0.05). Conclusions: Semi-quantitative methods in ki- netic curve assessment on DCE-MRI could improve classification of qualitatively uncertain TICs, leading to a more accurate classification of suspicious breast lesions.
- Published
- 2013
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