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Intratumoral metabolic heterogeneity predicts invasive components in breast ductal carcinoma in situ

Title
Intratumoral metabolic heterogeneity predicts invasive components in breast ductal carcinoma in situ
Authors
Yoon, Hai-JeonKim, YemiKim, Bom Sahn
Ewha Authors
김범산김예미윤혜전
SCOPUS Author ID
김범산scopus; 김예미scopus; 윤혜전scopus
Issue Date
2015
Journal Title
EUROPEAN RADIOLOGY
ISSN
0938-7994JCR Link1432-1084JCR Link
Citation
vol. 25, no. 12, pp. 3648 - 3658
Keywords
DCISInvasive carcinomaPositron emission tomographyBreast-specific gamma imagingDiffusion magnetic resonance imaging
Publisher
SPRINGER
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
This study investigated whether texture-based imaging parameters could identify invasive components of ductal carcinoma in situ (DCIS). We enrolled 65 biopsy-confirmed DCIS patients (62 unilateral, 3 bilateral) who underwent (18) F-FDG PET, diffusion-weighted imaging (DWI), or breast-specific gamma imaging (BSGI). We measured SUV (max) and intratumoral metabolic heterogeneity by the area under the curve (AUC) of cumulative SUV histograms (CSH) on PET, tumour-to-normal ratio (TNR) and coefficient of variation (COV) as an index of heterogeneity on BSGI, minimum ADC (ADC (min) ) and ADC difference (ADC (diff) ) as an index of heterogeneity on DWI. After surgery, final pathology was categorized as pure-DCIS (DCIS-P), DCIS with microinvasion (DCIS-MI), or invasive ductal carcinoma (IDC). Clinicopathologic features of DCIS were correlated with final classification. Final pathology confirmed 44 DCIS-P, 14 DCIS-MI, and 10 IDC. The invasive component of DCIS was significantly correlated with higher SUV (max) (p = 0.017) and lower AUC-CSH (p < 0.001) on PET, higher TNR (p = 0.008) and COV (p = 0.035) on BSGI, lower ADC (min) (p = 0.016) and higher ADC (diff) (p = 0.009) on DWI, and larger pathologic size (p = 0.018). On multiple regression analysis, AUC-CSH was the only significant predictor of invasive components (p = 0.044). The intratumoral metabolic heterogeneity of (18) F-FDG PET was the most important predictor of invasive components of DCIS. aEuro cent Preoperative identification of invasion in DCIS is important for axillary nodal management aEuro cent Higher SUV (max) and lower AUC-CSH from FDG PET may indicate invasive components of DCIS aEuro cent Higher TNR and COV from BSGI may indicate invasive components of DCIS aEuro cent Lower ADC (min) and higher ADC (diff) from DWI may indicate invasive components of DCIS aEuro cent AUC-CSH, an index of metabolic heterogeneity, is an independent predictor for invasive components.
DOI
10.1007/s00330-015-3761-9
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의학전문대학원 > 의학과 > Journal papers
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