Power Doppler Vocal Fremitus Breast Sonography: Differential Diagnosis with a New Classification Scheme—Power Doppler Vocal Fremitus Examination of Breast Lesions

Purpose: In this study, unlike the previous studies, and Power Doppler vocal fremitus test (PDVFT) is utilized and is evaluated in subcategories to assess its role in the differentiation of benign and malignant lesions. Materials and Methods Thorough the 161 lesions of 147 patients are included in this prospective study. During PDVFT, it is determined that eight different fremitus patterns have broken out according to the colour aliasing during patient’s vocal phonation. It is also grouped as, according to the lesion color aliasing pattern during vibration: (c) for central, (p) for peripheral, (d) for perilesional-desmoplastic, (e) for eccentric, (h) for heterogenous-hierarchic, (s) for septal, (t) for total, (z) for absent-zero. Thereafter, the patterns and histopathological results of the lesions are correlated and analysed statistically. Results Out of 161 lesions, (benign: 133 and malignant, 28 cases) totally 189 patterns are encountered. None of the patterns z, t, s or e was detected in any of the malignant lesions. Specific values for different patterns have been obtained which changing between 29% and 100%. After adding the PDVFT finding, the newly generated BIRADS scheme has the accuracy value as high 91%. Conclusion When it is classified according to the colour aliasing pattern(s) of lesion in PDVFT;the “p” pattern is seen about the same ratio in both malign lesion and benign lesion (nonspecific patterns);“c, d, h” patterns mostly related with malignancy, whereas “e, s, t, z” patterns related with benignity. With adding the PDVFT findings;accuracy of well known BIRADS categorization and lesion demarcation were also improved successfully.

Determination of Metastatic Axillary Lymph Node in Breast Cancer: Differentiation with Dynamic MRI Examination by Signal Intensity-Time Curves

Purpose: We aimed to evaluate the role of dynamic magnetic resonance imaging (MRI) in the detection of axillary lymph node metastasis based on the signal intensity-time curves. Materials and Methods: The data of 120 patients (benign patients, n = 91;malignant patients, n = 29) who underwent dynamic breast MRI were reviewed. The lymph nodes with the strongest criteria for malignancy (morphological-dynamic properties) were included in the analysis. Signal intensity-time curves were plotted by the software. Results: Of 29 patients with breast cancer, axillary lymph nodes were involved in 21 and not involved in the remaining 8. There was no significant difference between benign and malignant cases in terms of the distributions of Type Ia, Type Ib and Type IV curves (p = 0.12), whereas a significant difference was found between benign and malignant cases in terms of the distributions of Type II and III curves (p Conclusion: On dynamic MRI studies, benign and metastatic lymph nodes display different signal intensity-time curves.

Differentiation of Exophytic Renal Masses with Determination of the Angular Interface with Renal Parenchyma in US and CT

Purpose: To determine whether benign exophytic renal masses can be distinguished from malignant lesions by using the angular interface sign in ultrasonography (US) and computerized tomography (CT). Materials and Methods: A total of 71 cases with exophytic renal mass (2 cm or greater) were examined on the basis of angular interface in US (n = 23), CT (n = 21) and US + CT (n = 16) between January 2008 and June 2010 were included in this study. The renal interface relationships were examined by 2 radiologists and classified as having angular or wide interface. Results: No statistically significant difference was found between the findings of two readers. There was almost perfect interobserver agreement for the interface sign. For cystic lesions, the angular interface sign was determined in all but two Bosniak category 1 cases. Also, the angular interface sign was positive in all but one Bosniak category 2 - 3. For cystic lesions with solid component and pure solid lesions, in the benign group, the angular interface sign was positive in all except three cases (vascular malformation, oncocytoma and Xanthogranulomatous pyelonephritis). In the malignant group, the angular interface sign was determined in only two RCC cases;in other primary or metastatic malignant lesions there was a wide interface sign. Conclusion: Exophytic renal masses can be differentiated as malignant or benign with 87% accuracy using only the angular interface sign in US or CT and also in opposition to dynamic-contrast examinations. This method entails a lack of additional radiation or contrast media exposure, time-saving, and costeffectivity.