Purpose: To investigate the correlation between enhancement parameters on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and pathologic prognostic factors in invasive breast cancers (BCs). Materials and methods: A total of 25 invasive BCs were included: 22 invasive ductal, 2 invasive lobular and 1 invasive mucinous. The tumor volume was segmented using a semi-automatic software (Olea Sphere). The following voxel-wise enhancement parameters were extracted: (1) time to peak enhancement; (2) signal intensity at peak (SIP); (3) peak enhancement percentage (PEP); (4) post-initial enhancement percentage (PIEP). The following pathological prognostic factors were considered for potential correlation: tumor (pT) and nodal (pN) stage, grading, perivascular/perineural invasion, estrogen/progesterone receptor status, Ki-67 proliferation, and HER2 expression. Spearman and Pearson correlation coefficients were calculated according with type of variable and data distribution. Results: Tumor volume was 2.8 ± 2.0 cm3(mean ± standard deviation [SD]). Mean SIP correlated with pT (ρ = 0.424, p = 0.035); mean PEP correlated with HER2 overexpression (ϕ = 0.471, p = 0.017) and pT (ρ = 0.449, p = 0.024). The percentage of voxels with fast PEP directly correlated with pT (ρ = 0.482, p = 0.015) and pN (ρ = 0.446, p = 0.026), while the percentage of voxels with slow PEP inversely correlated with pT (ρ = −0.421, p = 0.039) and pN (ρ = −0.481, p = 0.015). Segmentation time was 14.6 ± 1.3 min (mean ± SD). Conclusion: In invasive BCs, DCE-MRI voxel-wise enhancement parameters correlated with HER2, pT, and pN.
Correlation between voxel-wise enhancement parameters on DCE-MRI and pathological prognostic factors in invasive breast cancers / R.M. Trimboli, M. Codari, K. Khouri Chalouhi, I. Ioan, G. Lo Bue, A. Ottini, D. Casolino, L.A. Carbonaro, F. Sardanelli. - In: LA RADIOLOGIA MEDICA. - ISSN 0033-8362. - 123:2(2018 Feb), pp. 91-97.
|Titolo:||Correlation between voxel-wise enhancement parameters on DCE-MRI and pathological prognostic factors in invasive breast cancers|
TRIMBOLI, RUBINA MANUELA (Primo) (Corresponding)
CODARI, MARINA (Secondo)
CARBONARO, LUCA ALESSANDRO (Penultimo)
SARDANELLI, FRANCESCO (Ultimo)
|Parole Chiave:||Dynamic contrast-enhanced (DCE) MRI; invasive breast cancers; prognostic factors; volume enhancement parameters; adenocarcinoma, mucinous; aged; algorithms; breast neoplasms; carcinoma, ductal, breast; carcinoma, lobular; contrast media; female; humans; image enhancement; middle aged; neoplasm invasiveness; neoplasm staging; predictive value of tests; prognosis; retrospective studies; sensitivity and specificity; magnetic resonance imaging; radiology, nuclear medicine and imaging|
|Settore Scientifico Disciplinare:||Settore MED/36 - Diagnostica per Immagini e Radioterapia|
|Data di pubblicazione:||feb-2018|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/s11547-017-0809-8|
|Appare nelle tipologie:||01 - Articolo su periodico|
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