This article reports our experience using the advanced breast biopsy instrument (ABBI) system for excisional biopsy of mammographically visible nonpalpable breast lesions. Patients with nonpalpable mammographically detected breast lesions were evaluated as potential ABBI candidates. Selection criteria included noncystic lesions for which complete removal or large sampling was indicated, compressed thickness of the breast of more than 25 mm, and the patient's ability to lie prone for at least 1 hour. During the period August 1997-April 2000 (33 months), 284 patients were found to be potential ABBI candidates. Sixteen patients were subsequently excluded. Biopsies using the ABBI system were performed in 268 cases, yielding an overall technical success rate of 94.4%. The mammographic abnormalities included mass in 125 cases (46.6%), mass with calcifications in 63 cases (23.5%), and microcalcifications without a mass in 80 cases (29.8%). Histologically 56 specimens (20.9%) were malignant (mass in 30 cases, mass with calcifications in 12, and microcalcifications in 14) and 212 (79.1%) were benign. Carcinoma in situ was found in 17 cases (30.4%), invasive carcinoma in 35 cases (62.5%), tubular carcinoma in 2 cases (3.6%), metastatic intramammary lymph node of previously unknown malignant melanoma in 1 case, and malignant lymphoma in 1 case. Open reexcision was performed in 54 cases with primary breast cancer. The histologic investigation revealed that in 26 (48.15%) cases the mammographic lesion was completely excised and in 28 (51.85%) cases the margins involved malignant residue and/or other foci of carcinoma. There were complications in 17 cases: wound infection in 2, ecchymosis in 9, seroma in 5, and a large immediate hematoma in 1 patient. Only the latter patient required immediate revision and drainage; the remainder underwent successful conservative treatment. Most nonpalpable breast lesions, if selected properly, are accessible for ABBI procedure. The biopsy causes minimal complications and minimal distortion of the breast architecture. Should relumpectomy be needed after the ABBI procedure, the tunnel of the cannula path is easily recognized, leaving no need for needle localization.
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Background: Induction of pneumoperitoneum during laparoscopic surgery leads to diverse cardiovascular changes that can be used as a model to study pathophysiologic phenomena. Application of novel signal processing and figure extraction enabled searching for correlation between various signals and pathophysiologic setting. Our aim was to quantitatively correlate cardiac functionality (as expressed by cardiac output) with the spectral energy of the first heart sound (S1) obtained from the phonocardiogram, during laparoscopic surgery. Patients and Methods: Patients who were scheduled for elective laparoscopic operations were enrolled in the study. Cardiac output was maximally changed during anesthesia and abdominal insufflation and was obtained from the arterial pressure wave (FloTracÔ sensor and VigileoÔ monitor [Edwards Lifesciences Ltd.]). Heart signals were recorded during surgery from each subject by a computerized digital data acquisition system. The automatic analysis of the heart sounds included segmentation that was based on the energy envelope of the heart sounds together with analysis of the electrocardiogram signal. We analyzed the morphology of the sounds using hierarchial cluster analysis to remove those sounds that were not reliably recorded. The magnitude of the amplitude of heart sounds was obtained by using the Hilbert transform for each heartbeat. Statistical analysis was based on linear regression. Results: Following exclusion of 3 patients (mainly because of technical reasons), we were left with 7 patients who demonstrated statistically significant positive correlation between cardiac index and the amplitude of S1 (regression coefficient between 0.4 and 0.9, P < .05). Linear regression analysis was done on the normalized values of all 7 patients and was found to be highly significant. Conclusions:In this study we have demonstrated significant linear correlation between the acoustic amplitude (spectral energy) of S1 and cardiac functionality, through sophisticated computerized analysis, using the pneumoperitoneum model for changing the cardiac output.
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