Browsing by Author "Nadrljanski, Mirjan M. (24280702200)"

We aimed to analyse the morphokinetic features of breast fibrocystic changes (nonproliferative lesions, proliferative lesions without atypia and proliferative lesions with atypia) presenting as a non-mass enhancement (NME)in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) examination. Forty-six patients with histologically proven fibrocystic changes (FCCs) were retrospectively reviewed, according to Breast Imaging Reporting and Data System (BI-RADS) lexicon. Prior to DCE-MRI examination, a unilateral breast lesion suspicious of malignancy was detected clinically, on mammography or breast ultrasonography. The predominant features of FCCs presenting as NME in DCE-MRI examination were: unilateral regional or diffuse distribution (in 35 patients or 76.1%), heterogeneous or clumped internal pattern of enhancement (in 36 patients or 78.3%), plateau time-intensity curve (in 25 patients or 54.3%), moderate or fast wash-in (in 31 patients or 67.4%).Nonproliferative lesions were found in 11 patients (24%), proliferative lesions without atypia in 29 patients (63%) and lesions with atypia in six patients (13%), without statistically significant difference of morphokinetic features, except of the association of clustered microcysts with proliferative dysplasia without atypia. FCCs presenting as NME in DCE-MRI examination have several morphokinetic features suspicious of malignancy, therefore requiring biopsy (BI-RADS 4). Nonproliferative lesions, proliferative lesions without atypia and proliferative lesions with atypia predominantly share the same predefined DCE-MRI morphokinetic features. © 2017 Radiol Oncol.

Purpose: To assess relative apparent diffusion coefficient (rADC) and ADC in B3 and B5 lesions in premenopausal female patients, added to standard morpho-dynamic breast contrast-enhanced MRI. Methods: 104 patients with histologically confirmed B3 (N1 = .52) and matched B5 lesions (N2 = .52), were examined on MRI (1.5 T, full diagnostic protocol, diffusion weighted imaging – b50, b850) in a retrospective analysis following the IRB approval: Atypical ductal hyperplasia (ADH, n1 = .20), Flat epithelial atypia (FEA, n2 = .11), Classic lobular neoplasia (CLN, n3 = .8), Papillary lesion (PL, n4 = .6) and Phyllodes tumor (PT, n5 = .7). rADC and ADC were computed for each lesion. The two-tailed Mann-Whitney U test was used for comparison with B5 lesions. Results: Mean rADC value for B3 lesions, (N1 = .52): 0.81+/-0.08 mm2/s x 10-3 and B5 lesions, (N2 = .52): 0.58+/-0.07 mm2/s x 10-3 is statistically different (p < 0.00001). Mean rADC values [mm2/s x 10-3], per entity in B3 are: ADH, 0.82+/-0.06; FEA, 0.75+/-0.03; CLN, 0.73+/-0.03; PL, 0.94+/-0.02; PT 0.86+/-0.05. Conclusions: Although morpho-dynamic features of borderline and malignant lesions may overlap, the initial results in this research, suggest the highly significant difference in both ADC and rADC between B3 and B5 lesions. Larger trials are needed to confirm the initial data. © 2020 Elsevier B.V.

[No abstract available]

Purpose: Texture analysis (TA) parameters (variance of SI, mean of gradient, variance of gradient, kurtosis of SI, and entropy) in patients with invasive ductal carcinoma (IDC) contribute to objective assessment of neoadjuvant chemotherapy (NACT) activity. The objective was to assess TA parameters in early identification of non-responders (NR) in NACT, after the 2nd cycle of NACT. Material and methods: Fifty patients (N = 50) were included in the retrospective analysis of baseline and MRI following the 2nd cycle of NACT. TA parameters were computed and correlated to the lesion size and DWI-ADC in NR (N1 = 25). Additional matched responders (R, N2 = 25) assessed for the same parameters, served as the control group. Results: Tumor size and ADC did not change significantly in NR after the 2nd cycle of NACT (2.88 ± 0.38 vs. 2.76 ± 0.36 [cm], p = 0.131; 1.01 ± 0.14 vs. 1.05 ± 0.13 [mm2/s × 10−3], p = 0.363), but TA parameters changed significantly: variance of gradient (346.5 ± 12.6 vs. 355.6 ± 16.9, p = 0.01), kurtosis of SI (1.47 ± 0.09 vs. 1.54 ± 0.11, p = 0.02), entropy LH (60.39 ± 4.34 vs. 64.42 ± 3.05, p = 0.001) and entropy HL (61.02 ± 5.51 vs. 65.63 ± 3.63, p < 0.00001). TA parameters, particularly entropy (EN LH 64.42 ± 3.05 vs. 61.59 ± 1.76, p < 0.0001; EN HL 65.63 ± 3.63 vs. 62.89 ± 2.05, p < 0.0001), significantly differ between NR and R in early response assessment. Conclusion: Entropy, kurtosis of SI and variance of gradient tend to increase in NR. TA parameters significantly differ between NR and R after the 2nd cycle of NACT. TA parameters, related to morpho-functional parameters may contribute to early NR identification. © 2020 Elsevier Inc.