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Can semi-quantitative evaluation of uncertain (type II) time-intensity curves improve diagnosis in breast DCE-MRI?

Journal of Biomedical Science and Engineering 2013年第3期6卷 418-425页

作者： Roberta Fusco salvatore filice Vincenza Granata Ylenia Mandato Annamaria Porto Massimiliano D’Aiuto Massimo Rinaldo Maurizio Di Bonito Mario Sansone Carlo Sansone Antonio Rotondo Antonella Petrillo Petrillo Department of Breast Surgery and Oncology National Cancer Institute of Naples “Pascale Foundation” Naples Italy Department of Diagnostic and Laboratory Pathology National Cancer Institute of Naples “Pascale Foundation” Naples Italy Department of Diagnostic Imaging National Cancer Institute of Naples “Pascale Foundation” Naples Italy Department of Diagnostic Imaging Second University of Naples (SUN) Naples Italy Department of Electrical Engineering and Information Technology University “Federico II” of Naples Naples Italy

Objective/Background: Qualitative assessment of uncertain (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-quantitative 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 radiologists in consensus: all the ROIs resulted in type II (uncertain) TIC. The same TICs were semi-quantitatively 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 according to two different cut-off ranges (±5% and ±3%). All patients were cytological or histological biopsy proven. Fisher test and McNemar test were performed to evaluate if results were statistically significant (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-quantitative 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% respectively. 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 kinetic curve assessment on DCE-MRI could improve classification of qualitatively uncertain TICs, leading to a more accurate classification of suspicious breast lesions.

关键词： Breast Cancer Dynamic Contrast Enhanced-MRI Time Intensity Curve Tracer Kinetics Semi-Quantitative Analysis

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肝局灶性病变非侵入性影像评估意大利指南：发展和结论(全译)

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中华超声影像学杂志 2014年第2期23卷 172-183页

作者： Carlo filice Fabrizio Calliada salvatore De Masi Letizia Sampaolo Cristina Morciano Alfonso Mele Maria Franc Meloni Chiara Sileo Mara Scabini Paolo Ricci Vito Cantisani Giovanna Ferraioli Ultrasound Unit Infectious Diseases Department University of Pavia Institute of Radiology IRCCS Fondazione Policlinico S.Matteo University of Pavia Dipartimento diPrevenzione ASL 6 Livorno National Institute of Health (Istituto Superioredi Sanita ) Rome Institute of Radiology S. Gerardo Hospital Monza Department of Radiology Umberto I Hospital University of RomaItaly

简介成像技术的进步极大改善了肝局灶性病变（FLLs）的非侵入性检测和成像。由于良性FLLs的发病率极高，因此病变成像极其重要。相对而言，包括原发性肝癌和转移癌在内的肝癌是最常见的肿瘤疾病。

关键词：肝局灶性病变影像评估意大利原发性肝癌指南人性非侵入性检测成像技术

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