Francesca Abbate

Ultrasound-guided vacuum-assisted core breast biopsy: experience with 406 cases

PurposeThe aim of this study was to determine the indications, accuracy and complications of vacuum-assisted breast biopsy (VABB) performed using ultrasonographic (US) guidance for non-palpable lesions.Materials and methodsThis was a prospective study in which results from consecutive US-guided VABB performed between January 1999 and April 2003 were subsequently compared to those from excisional biopsy or to long-term follow-up imaging.ResultsFour hundred and six lesions were submitted to VABB procedures. Out of those, 78.9% were benign, 18.8% were malignant, 1.7% was lobular neoplasia, and 0.4% was atypical duct hyperplasia. Underestimation occurred in 2.6% of the cases and false negative results in 0.6%. Sensitivity to VABB was 97%, specificity went up to 100%, negative predictive value was 99%, positive predictive value was 100%, and accuracy was 99%. Complications occurred in 9% of the patients.ConclusionUS-guided VABB is an accurate and safe procedure. The main indication is the non-palpable suspicious breast lesions (category 4). This new technique could be a good alternative for percutaneous and surgery biopsy.

Noninvasive assessment of breast cancer risk using time-resolved diffuse optical spectroscopy.

Breast density is a recognized strong and independent risk factor for breast cancer. We propose the use of time-resolved transmittance spectroscopy to estimate breast tissue density and potentially provide even more direct information on breast cancer risk. Time-resolved optical mammography at seven wavelengths (635 to 1060 nm) is performed on 49 subjects. Average information on breast tissue of each subject is obtained on oxy- and deoxyhemoglobin, water, lipids, and collagen content, as well as scattering amplitude and power. All parameters, except for blood volume and oxygenation, correlate with mammographic breast density, even if not to the same extent. A synthetic optical index proves to be quite effective in separating different breast density categories. Finally, the estimate of collagen content as a more direct means for the assessment of breast cancer risk is discussed.

Estimate of tissue composition in malignant and benign breast lesions by time-domain optical mammography.

The optical characterization of malignant and benign breast lesions is presented. Time-resolved transmittance measurements were performed in the 630-1060 nm range by means of a 7-wavelength optical mammograph, providing both imaging and spectroscopy information. A total of 62 lesions were analyzed, including 33 malignant and 29 benign lesions. The characterization of breast lesions was performed applying a perturbation model based on the high-order calculation of the pathlength of photons inside the lesion, which led to the assessment of oxy- and deoxy-hemoglobin, lipids, water and collagen concentrations. Significant variations between tumor and healthy tissue were observed in terms of both absorption properties and constituents concentration. In particular, benign lesions and tumors show a statistically significant discrimination in terms of absorption at several wavelengths and also in terms of oxy-hemoglobin and collagen content.

Optical Identification of Subjects at High Risk for Developing Breast Cancer

Abstract. A time-domain multiwavelength (635 to 1060 nm) optical mammography was performed on 147 subjects with recent x-ray mammograms available, and average breast tissue composition (water, lipid, collagen, oxy- and deoxyhemoglobin) and scattering parameters (amplitude a and slope b) were estimated. Correlation was observed between optically derived parameters and mammographic density [Breast Imaging and Reporting Data System (BI-RADS) categories], which is a strong risk factor for breast cancer. A regression logistic model was obtained to best identify high-risk (BI-RADS 4) subjects, based on collagen content and scattering parameters. The model presents a total misclassification error of 12.3%, sensitivity of 69%, specificity of 94%, and simple kappa of 0.84, which compares favorably even with intraradiologist assignments of BI-RADS categories.

Breast Tissue Composition and Its Dependence on Demographic Risk Factors for Breast Cancer: Non-Invasive Assessment by Time Domain Diffuse Optical Spectroscopy

Background Breast tissue composition is recognized as a strong and independent risk factor for breast cancer. It is a heritable feature, but is also significantly affected by several other elements (e.g., age, menopause). Nowadays it is quantified by mammographic density, thus requiring the use of ionizing radiation. Optical techniques are absolutely non-invasive and have already proved effective in the investigation of biological tissues, as they are sensitive to tissue composition and structure. Methods Time domain diffuse optical spectroscopy was performed at 7 wavelengths (635-1060 nm) on 200 subjects to derive their breast tissue composition (in terms of water, lipid and collagen content), blood parameters (total hemoglobin content and oxygen saturation level), and information on the microscopic structure (scattering amplitude and power). The dependence of all optically-derived parameters on age, menopausal status, body mass index, and use of oral contraceptives, and the correlation with mammographic density were investigated. Results Younger age, premenopausal status, lower body mass index values, and use of oral contraceptives all correspond to significantly higher water, collagen and total hemoglobin content, and lower lipid content (always p < 0.05 and often p < 10-4), while oxygen saturation level and scattering parameters show significant dependence only on some conditions. Even when age-adjusted groups of subjects are compared, several optically derived parameters (and in particular always collagen and total hemoglobin content) remain significantly different. Conclusions Time domain diffuse optical spectroscopy can probe non-invasively breast tissue composition and physiologic blood parameters, and provide information on tissue structure. The measurement is suitable for in vivo studies and monitoring of changes in breast tissue (e.g., with age, lifestyle, chemotherapy, etc.) and to gain insight into related processes, like the origin of cancer risk associated with breast density.

Effects of tissue heterogeneity on the optical estimate of breast density.

Breast density is a recognized strong and independent risk factor for developing breast cancer. At present, breast density is assessed based on the radiological appearance of breast tissue, thus relying on the use of ionizing radiation. We have previously obtained encouraging preliminary results with our portable instrument for time domain optical mammography performed at 7 wavelengths (635–1060 nm). In that case, information was averaged over four images (cranio-caudal and oblique views of both breasts) available for each subject. In the present work, we tested the effectiveness of just one or few point measurements, to investigate if tissue heterogeneity significantly affects the correlation between optically derived parameters and mammographic density. Data show that parameters estimated through a single optical measurement correlate strongly with mammographic density estimated by using BIRADS categories. A central position is optimal for the measurement, but its exact location is not critical.

Ultrasound-guided vacuum assisted breast biopsy in the assessment of C3 breast lesions by ultrasound-guided fine needle aspiration cytology: results and costs in comparison with surgery.

Breast lesions defined C3 at ultrasound (US)-guided fine needle aspiration cytology (FNAC) are probably benign, but exhibit atypias. We evaluate the results of US-guided vacuum assisted breast biopsy (VABB) of these lesions. Patients diagnosed C3 by US-FNAC, submitted to US-VABB and with a minimum follow-up of 36 months or surgery were enrolled. Cost outcome of this diagnostic protocol was evaluated. We evaluated 138 patients with non-palpable C3 lesions. In 2/138 (1.4%) cases VABB results were inadequate. VABB diagnosed: 17/138 (12.3%) malignant and 119/138 (86.2%) benign lesions. In 28/138 cases (20.3%) surgery retrieved 18/28 (64.3%) malignant lesions. One false negative result of VABB was observed. Sensitivity and specificity of VABB resulted 94.4% and 100%. Our diagnostic algorithm estimated a 45% mean decrease of costs using VABB when compared with surgical biopsy of all C3 lesions.

Atypical ductal hyperplasia: Our experience in the management and long term clinical follow-up in 71 patients

INTRODUCTION Atypical ductal hyperplasia (ADH) is a high-risk benign lesion found in approximately 1-10% of breast biopsies and associated with a variable incidence of carcinoma after surgical excision. The main goal of our study is to present our experience in the management and long-term follow-up of 71 patients with ADH diagnosed on breast biopsy. MATERIALS AND METHODS Results of 3808 breast biopsy specimens from 1 January 2000 to 31 December 2005 were analyzed to identify all biopsies which resulted in a diagnosis of ADH. The histopathological results of the 45 patients who underwent surgery were analyzed. Long-term follow-up for the remaining patients was carried out. RESULTS 45 of 71 (63.4%) patients with histological diagnosis of ADH on breast biopsy underwent surgery. Definitive histological results revealed invasive carcinoma in 7 cases (15.6%), high grade Ductal Carcinoma in situ (DCIS) in 10 (22.2%) patients, Lobular Carcinoma in situ (LCIS) in 4 cases (8.9%) and benign findings in 24 cases (53.3%). 12 of 71 (16.9%) patients underwent only long term follow-up; one (8,3%) of these developed invasive breast carcinoma after 6 years. CONCLUSION Atypical ductal hyperplasia diagnosed on breast biopsy is associated with a relatively high incidence of invasive carcinoma and high grade ductal carcinoma in situ at the time of surgical excision. Certain radiological and cytological criteria can be used to help determine which patients should forgo surgery and be followed up with good results. Long term follow-up is always crucial for patients who have not undergone surgery.

Non-invasive optical estimate of tissue composition to differentiate malignant from benign breast lesions: A pilot study

Several techniques are being investigated as a complement to screening mammography, to reduce its false-positive rate, but results are still insufficient to draw conclusions. This initial study explores time domain diffuse optical imaging as an adjunct method to classify non-invasively malignant vs benign breast lesions. We estimated differences in tissue composition (oxy- and deoxyhemoglobin, lipid, water, collagen) and absorption properties between lesion and average healthy tissue in the same breast applying a perturbative approach to optical images collected at 7 red-near infrared wavelengths (635–1060 nm) from subjects bearing breast lesions. The Discrete AdaBoost procedure, a machine-learning algorithm, was then exploited to classify lesions based on optically derived information (either tissue composition or absorption) and risk factors obtained from patient’s anamnesis (age, body mass index, familiarity, parity, use of oral contraceptives, and use of Tamoxifen). Collagen content, in particular, turned out to be the most important parameter for discrimination. Based on the initial results of this study the proposed method deserves further investigation.

Collagen content as a risk factor in breast cancer? A pilot clinical study

A retrospective pilot clinical study on time domain multi-wavelength (635 to 1060 nm) optical mammography was exploited to assess collagen as a breast-cancer risk factor on a total of 109 subjects (53 healthy and 56 with malignant lesions). An increased cancer occurrence is observed on the 15% subset of patients with higher age-matched collagen content. Further, a similar clustering based on the percentage breast density leads to a different set of patients, possibly indicating collagen as a new independent breast cancer risk factor. If confirmed statistically and on larger numbers, these results could have huge impact on personalized diagnostics, health care systems, as well as on basic research.