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. [10.1007/s11547-017-0809-8]
Correlation between voxel-wise enhancement parameters on DCE-MRI and pathological prognostic factors in invasive breast cancers
R.M. Trimboli
Primo
;M. CodariSecondo
;K. Khouri Chalouhi;I. Ioan;G. Lo Bue;A. Ottini;L.A. CarbonaroPenultimo
;F. SardanelliUltimo
2018
Abstract
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.File | Dimensione | Formato | |
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