Discordance between core needle biopsy (CNB) and excisional biopsy (EB) for estrogen receptor (ER), progesterone receptor (PgR) and HER2 status in early breast cancer (EBC)
ABSTRACT Analysis of estrogen receptor (ER), progesterone receptor (PgR) and HER2 status in early breast cancer (EBC) is increasingly being conducted in core needle biopsies (CNBs) taken at diagnosis but the concordance with the excisional biopsy (EB) is poorly documented.
Patients with EBC presenting to The Royal Marsden Hospital from June 2005 to September 2007 who had CNB and subsequent EB were included. ER and PgR were determined by immunohistochemistry (IHC) and graded from 0 to 8 (Allred score). HER2 was determined by IHC and scored from 0 to 3+. FISH analysis was carried out in HER2 2+ cases and in discordant cases.
In all, 336 pairs of samples were compared. ER was positive in 253 CNBs (75%) for 255 EBs (76%) and was discordant in six patients (1.8%). PgR was positive in 221 CNBs (66%) and 227 (67.6%) EBs being discordant in 52 cases (15%). HER2 was positive in 41 (12.4%) of the 331 CNBs in which it was determined compared with 44 (13.3%) EBs and discordant in four cases (1.2%).
CNB can be used with confidence for ER and HER2 determination. For PgR, due to a substantial discordance between CNB and EB, results from CNB should be used with caution.
Conference Paper: Vector quantization of speech parameters in the time-frequency domain[Show abstract] [Hide abstract]
ABSTRACT: We investigate a time-frequency domain vector quantization approach for low bit rate speech coding. The well known CELP standard provides an efficient representation of a speech signal in units of a frame length (30 ms) using an all-pole speech model. For most efficient speech compression, inter and intraframe correlations of speech parameters should be exploited. This observation previously lead to multiframe coding with interpolation, or LSP prediction. But such linear modeling approaches suffer from the nonlinear speech parameter dynamics. The proposed approach eliminates such problems while exploiting intra and interframe correlations. Computer simulations demonstrate significantly improved compression performance (1.5-2 bits/frame) under a given spectral distortionSignals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on; 01/1994
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ABSTRACT: Core needle biopsies (CNBs) are widely used to determine human epidermal growth factor receptor 2 (HER2) status in breast cancer. Recent publications reported up to 20% false-positive results on CNBs if immunohistochemistry (IHC) is compared with fluorescent in situ hybridization (FISH). To clarify, if confirmation of IHC positivity by FISH is generally required, we analyzed the reliability of IHC positivity on CNBs versus surgical specimens in a multi-institutional study. Five pathologic laboratories contributed to this study by performing IHC on 500 CNBs and the corresponding surgical specimens overall. If IHC revealed score 2+ or 3+, HER2 status was confirmed by FISH in a central laboratory. We compared evaluation according to US Food and Drug Administration-approved scoring criteria and recently published American Society of Clinical Oncology (ASCO)-College of American Pathologists (CAP) guidelines. CNBs scored 3+ revealed five false-positive results if scoring followed the US Food and Drug Administration criteria (five of 40; 12.5%) and two false-positives in terms of the ASCO-CAP criteria (two of 33; 6.1%). IHC was false negative in one CNB only. By contrast, IHC on surgical specimens revealed five false-negative results, but only one false-positive result (one of 35; 2.9%) if scored following US Food and Drug Administration-approved criteria. With the aid of the ASCO-CAP criteria, false-positive IHC results were obtained in only one of the five participating institutions. IHC 3+ scores on CNBs proved to be reliable in four of the five participating institutions if scoring followed the ASCO-CAP criteria. Therefore, accurate determination of HER2 status in breast cancer is possible on CNB using the common strategy to screen all cases by IHC and retest only 2+ scores by FISH. Prerequisites are quality assurance and the application of the new ASCO-CAP criteria.Journal of Clinical Oncology 05/2010; 28(20):3264-70. DOI:10.1200/JCO.2009.25.9366 · 17.88 Impact Factor
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ABSTRACT: The roles of core needle biopsy (CNB) have become well established as an important preoperative diagnostic method for breast lesions. We examined the concordance of histological types, nuclear grades, hormone receptors, and human epidermal growth factor receptor 2 (HER2) status between CNB and surgical specimens in 353 cases. In addition, we analyzed the correlation between the number of CNB specimens obtained and accuracy of histological factors in order to explore the optimal number of CNB specimens. Between CNB and surgical specimens, concordance rates of histological type, nuclear grade, estrogen receptor (ER), and progesterone receptor (PgR) status (cut-off 0-<1%, 1-10%, and 10%<), and HER2 were 84.4%, 81.3%, 92.9%, and 89.3%, respectively. In 52 of 353 patients who were histopathologically diagnosed as ductal carcinoma in situ (DCIS) by CNB, final diagnosis was changed in to invasive ductal carcinoma (IDC) in surgical specimens. Statistically significant differences were detected in the discrepancy of the following factors between CNB and subsequent surgical specimens: histological types, nuclear grade, and PgR, between patients who received four or more cores and those who had received three or less cores. In addition, a similar tendency was also detected in estrogen receptor (ER) and HER2 as in the above, and the cases that received four cores reached to 100% concordance in diagnosis between CNB and surgical specimens. Therefore, the optimal numbers of CNB were considered four at least in assessing the histological type, invasion, nuclear grade, hormone receptor status, and HER2 status of individual patients in the preoperative setting.Cancer Science 09/2010; 101(9):2074-9. DOI:10.1111/j.1349-7006.2010.01630.x · 3.53 Impact Factor