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Percutaneous core needle biopsy (CNB) is an accurate test for sampling breast lesions (Parker et al, 1994; Burbank, 1997; Liberman, 2000; Ciatto et al, 2006) and is increasingly replacing fine needle aspiration cytology (FNAC) in breast diagnosis. Core needle biopsy has advantages over FNAC in that it provides histological information, which improves sensitivity and may assist pre-operative treatment planning (Houssami et al, 2006), and is rarely associated with inadequacy (insufficiency) (Ciatto et al, 2006). It also has a complementary role to FNAC where FNAC is used as an initial test and where the cytology is atypical (Bulgaresi et al, 2006) – subsequent use of CNB in this context can establish a definitive diagnosis. The major limitation that has emerged with CNB is the borderline histology spectrum, a heterogeneous group of lesions also described as lesions of uncertain malignant potential (B3 core histology) in international standards (NHS Non-operative Diagnosis Subgroup of the National Coordination Group for Breast Screening Pathology, 2001; Perry et al, 2006).

Despite the current perspective that CNB has better diagnostic discrimination between benign and malignant breast disease than FNAC, borderline (B3) core needle histology occurs in a similar (Lee et al, 2003) or higher proportion of cases as does atypical or borderline cytology (when considered within the same institutional context) (Ciatto et al, 1993; Lee et al, 2003; Ciatto et al, 2006). Borderline (B3) core needle histology, however, has more significant implications in that most cases progress to surgical intervention, and debate continues on whether selected cases may be spared excision (Jacobs et al, 2002). While most cases of B3 CNB will in fact have benign disease, approximately one-quarter (Lee et al, 2003) or more will have cancer on excision; however, estimates of the proportion with malignancy on excision biopsy are based on small series (Jacobs et al, 2002).

We present a retrospective evaluation of the largest series, to date, of borderline (B3) core needle histology, and report on excision histology outcomes. We provide B3 (lesions of uncertain malignant potential) subcategory-specific positive predictive values (PPV) for malignancy (in situ and invasive), and discuss implications for practice and future research.

Materials and methods

From all subjects who attended the study centre between January 1996 and March 2005, and had a core biopsy of any type (4035 biopsies), we identified eligible subjects as all those with B3 core histology reports (N=372). We have included all eligible cases in our descriptive evaluation, and for histological outcomes we report on subjects who had excision histology (N=279). To avoid verification bias in estimating category-specific PPV (Houssami and Irwig, 1998), we have retained in the PPV analysis all eligible subjects who had either excision histology or at least one episode of follow-up (N=328). Imaging lesions were considered stable on follow-up if unchanged on imaging (and clinical) review at 6–12 months (for masses) or a minimum of 12 months (for microcalcification) (Ciatto et al, 2006).

Detailed methodology of all consecutive core biopsies, from which this series of borderline core needle histology originated, has been published in our companion paper (Ciatto et al, 2006). In brief, CNB was performed over the timeframe of the study by one of 13 radiologists who also performed the clinical examination. Core needle biopsy was used for imaging lesions that were atypical or associated with some degree of suspicion. At the study centre, BI-RADS is not routinely used for reporting imaging, an alternate classification is used with published estimates of the likelihood of malignancy (Houssami and Irwig, 1998). Most lesions in this series were therefore imaging categories 3–5 (3 – indeterminate, 4 – suspicious and 5 – malignant) (Houssami and Irwig, 1998). Core needle biopsy in the study centre was generally performed using conventional automated (14 G) core needle for sampling masses, whereas microcalcifications were preferentially sampled using vacuum-assisted biopsy (11G) and less often using automated (14 G) core (Ciatto et al, 2006). Stereotactic sampling of microcalcification was verified with specimen X-ray. Ultrasound guidance was preferentially used for all lesions clearly seen on ultrasound and also for masses (including where palpable), and the use of stereotaxis was largely for microcalcification and impalpable mammographic lesions.

One of two breast pathologists reported all core needle histology (without knowledge of outcomes), with one pathologist (SB) interpreting the vast majority (>90%). Results were reported in line with UK and European guidelines (NHS Non-operative Diagnosis Subgroup of the National Coordination Group for Breast Screening Pathology, 2001; Perry et al, 2006). Categories are B1=normal tissue/unsatisfactory, B2=benign, B3=lesions of uncertain malignant potential, B4=suspicious of malignancy, B5 (malignant–sub-classified as ductal carcinoma in situ (DCIS) or invasive cancer) (NHS Non-operative Diagnosis Subgroup of the National Coordination Group for Breast Screening Pathology, 2001; Perry et al, 2006). The borderline histology or B3 category includes atypical ductal hyperplasia (ADH), lobular intraepithelial neoplasia (LIN) (regrouping of the former atypical lobular hyperplasia (ALH) and lobular carcinoma in situ (LCIS)), papillary lesions, radial scar/complex sclerosing lesion, mucocoele-like lesion and phyllodes tumour.

We describe the distribution of outcomes, the type of imaging lesion and whether clinically palpable, in all subjects. We also provide a descriptive analysis of imaging findings for all subjects according to B3 groups and in relation to outcomes to provide clinical context. Excision histology findings are reported for benign and malignant outcomes, and PPVs are calculated for all B3 core histology and for each subcategory. We have estimated PPVs using two approaches, one based on all cases verified with excision histology and also cases shown to have remained stable on review (this minimises verification bias in estimating measures of accuracy) (Houssami and Irwig, 1998). We have also calculated them using the more conventional approach of including only those verified with excision histology.

Results

B3 core needle histology comprised 9.2% 372 from 4035 of all CNB results. To assist in judging generalisability of our series, we have presented in Table 1 the distribution of all B3 cases according to type of lesion depicted on mammography, excision histology or other outcomes and palpability. Microcalcification (46%) and masses (44.6%) were about equally distributed, and distortions represented 9.4% of lesions assessed with CNB. Imaging lesions were clinically palpable in 27.4% of cases, and 72.6% were considered impalpable (Table 1), reflecting the high frequency of isolated microcalcification evaluated with CNB (all of which were impalpable). Data in Table 1 included six cases of suspicious (B3–B4) results, which on further review were considered to represent B4, and were therefore excluded from our analysis of PPV – all six cases were found to represent malignancy (one DCIS, five invasive cancers). A detailed distribution of all B3 core needle histology cases according to the type of lesion depicted on imaging and the level of suspicion on imaging, in relation to outcomes, is included as Appendix A.

Table 1 Distribution of B3 (lesions of uncertain malignant potential) core needle histology (N=372): type of lesion depicted on mammography, outcomes and palpability

Table 2 summarises all excision histology outcomes for B3 core needle histology, overall and for each subcategory of B3, and presents category-specific PPV. Overall, PPV for malignancy (based on excision histology) was 35.1% (95% CI: 29.5–40.7) and PPV (based on excision or review) was 29.9% (95% CI: 24.9–34.8). There were five cases of B3 not otherwise specified based on the original pathology report (Table 2). These were subsequently reviewed and were classified as B3 phyllodes, B3 ADH/columnar cell lesion, B3 fibromatosis or phyllodes, B3 granular cell tumour and B2 fibroadenolipoma.

Table 2 Lesions of uncertain malignant potential (B3) on CNB: excision histology outcomes for different B3 lesions and associated PPV for breast malignancy

Discussion

We have reported B3 (borderline lesions or lesions of uncertain malignant potential) category-specific PPV for malignancy (DCIS and invasive); B3 core needle histology comprised about 9% of all consecutive CNB performed in the study centre. We are not aware of any published work that estimates PPV for subcategories of B3 lesions in one comprehensive series. Overall, about one-third of borderline lesions on CNB in this study proved to be malignant (PPV 29.9 or 35.1%); however, the PPV for each subcategory within B3 varied substantially (Table 2). In an overview of this topic, Jacobs et al (2002) reported that knowledge and consensus on the management of these lesions are hindered by the very small number of subjects in most studies, and also by selection bias for subjects managed with excision biopsy (Jacobs et al, 2002). Whereas acknowledging that a few studies have included more cases per specific B3 lesion (Cawson et al, 2003; Shah et al, 2006), we believe that our study addresses the first issue in providing the largest consecutive study of B3 cases. As for the latter issue, and while selection to surgery was not entirely avoided, the vast majority of subjects had excision in our series. We have also included outcomes for some of the subjects that did not have surgery, and overall, we have reported outcomes in approximately 88% of subjects.

We have explained the reasons we report two estimates of PPV – methodologies that include all subjects with known outcomes (and not only those verified on the basis of excision) have been shown to reduce verification bias in calculating measures of accuracy (Houssami and Irwig, 1998), whereas subjects with outcomes verified on the basis of excision histology are traditionally included to avoid misclassification. We have provided estimates of PPV using both methods, and acknowledge the limitation of length of follow-up in the minority group that had follow-up only in our series. It should be noted that the proportion of CNB reported to be B3 and the distribution of lesion categories within the borderline CNB spectrum will vary between institutions, as this is dependent on the criteria used for reporting as well as the number of pathologists involved in reporting and their threshold for classifying a lesion as borderline on CNB. We also point out that overall and lesion-specific predictive values may vary in different settings according to the type of imaging abnormalities assessed with CNB and the sampling methods used; we have described the study centre's practice in this paper and in our related paper (Ciatto et al, 2006), and the data in Appendix A provide detailed imaging context for the series.

Lee et al (2003) provide data on histological outcomes for the B3 category in 96 excised lesions, and report an overall PPV of 26% for B3 CNB histology that is slightly lower than our overall estimates. These authors make the point that excision biopsy findings for B3 are heterogeneous, that the clinical and radiological features are important in deciding further management (and that this should be carried out in multidisciplinary meetings). We agree with these views, and our work highlights the heterogeneity of the borderline or B3 CNB category, in addition to evidence on lesion-related variability in likelihood of malignancy as an outcome in B3 cases. Clearly, lesions categorised on CNB as ADH (more appropriately termed atypical intraductal epithelial proliferation on CNB histology), or as LIN, are associated with a significantly higher probability of cancer as an outcome relative to the ‘other’ borderline lesions. It may be worthwhile reconsidering current categorisation criteria (NHS Non-operative Diagnosis Subgroup of the National Coordination Group for Breast Screening Pathology, 2001; Perry et al, 2006) and potentially modifying the B3 category into two risk-based subgroups (B3 with lower probability of cancer, B3 with higher probability of cancer). This would be expected to improve specificity and may assist management decisions in the context of team discussion.

The most frequent lesion in our B3 series is ADH, and its frequency within the B3 category is similar to that reported by Lee et al (2003). The PPV for ADH (44.7 or 40.6%) is also similar to other studies (Jackman et al, 1999; Harvey et al, 2002; Lee et al, 2003), although we have reported estimates based on a larger number of cases. This estimate further emphasises that the standard of care for lesions yielding ADH on CNB should be excision biopsy.

Our PPV estimates show the highest lesion-specific risk of malignancy in association with LIN (ALH and LCIS) with a higher likelihood of malignancy for this category than reported in other series (Lee et al, 2003; Elsheikh and Silverman, 2005). The evidence on, and the management of, lobular neoplasia continues to be contradictory and controversial (Lakhani et al, 2006) and a detailed discussion of this lesion category is beyond the scope of this paper. The largest published series that examined pure lobular neoplasia (based on 33 subjects) emphasised that all CNB diagnoses of ALH and LCIS warrant surgical excision because of a high risk of malignancy on excision histology (Elsheikh and Silverman, 2005). We also point out that most other series of lobular neoplasia on CNB have been based on very few subjects with many subjects not progressing to excision biopsy (Jacobs et al, 2002). The vast majority of cases of lobular neoplasia on CNB in our series were managed with surgery and most were shown to have DCIS on excision histology – since many of the CNBs were performed for imaging lesions, some of our cases are likely to have represented under-sampling of the target lesion. It is particularly important that CNB reports of LIN be correlated with the clinical and imaging findings, and that management decisions are decided on the basis of team discussion (Lee et al, 2003; Lakhani et al, 2006).

Unlike our PPV for papillary lesions (22.7 or 15.9%), one study of screen-detected papillary lesions reported benign excision histology outcomes in all 15 CNB diagnoses of ‘papillary lesion’ classified as B3 (Carder et al, 2005). Liberman et al (2006) evaluated 35 cases with a diagnosis of (benign) papilloma on CNB (and concordant with imaging), and reported a cancer yield of 14% (based on either surgery or follow-up), which is similar to our PPV for papillary lesion on CNB (based on either surgery or follow-up). A review by Jacobs et al (2002) reported malignancy as an outcome following a CNB diagnosis of papillary lesion (without atypia) ranging between 0 and 25%. Shah et al (2006) reported improved accuracy for categorising benign papillary lesions on CNB by using immunohistochemistry. Variability in reported estimates for this lesion (and other lesions in the borderline category) may be due to a combination of factors as we have already discussed, including the proportion of subjects with verified outcomes, selection of imaging lesions assessed with core biopsy, study sample size and pathology reporting methods.

The lesions with the lowest PPV for malignancy in our study are phyllodes tumour and radial scar. The recommended management of both these lesions is surgical excision to differentiate phyllodes tumour from fibroadenoma in the former and to exclude associated malignancy in the latter. Research efforts might particularly target lesions with a lower PPV for malignancy in exploring selective non-surgical management. Because of the timeframe of our study, columnar cell lesions were not included as a separate category; however, the potential importance of columnar cell lesions and columnar cell atypia in predicting malignancy is another area for future research.

We have described the histology in lesions with benign outcomes on excision – these data show moderate concordance between the specific benign histology reported on CNB and excision biopsy, and we have included the number of cases upgraded to lesions with increased future risk of breast cancer. It would be reasonable to argue that such distinctions within the benign pathology spectrum are of limited clinical relevance, but we have provided the information to be comprehensive as this may be relevant to clinicians providing care and surveillance advice to women with benign breast disease.

Our work emphasises the heterogeneity of lesions of uncertain malignant potential (B3) as far as risk of malignancy. Research is needed to help modify our current approach of surgical management for almost all borderline core needle histology, thus minimising unnecessary surgery in the majority of women with B3 on CNB and have benign disease. One example is optimising criteria for reporting lesions as B3 on CNB – pathologists might work on characterisation of morphological features that potentially allow accurate shifting of some B3 lesions into either the benign or the malignant category. Another area in need of formal evaluation is the selective use of large (vacuum-assisted) core biopsy devices in lesions deemed to be low risk (low PPV) on CNB to either re-sample or remove the imaging lesion, as an alternate to surgical excision. This should only be performed in the context of radiology–pathology correlation and team discussion to ensure appropriate selection of low risk lesions for this form of management.

The most relevant research, however, is likely to be in potentially identifying factors or methods that accurately predict outcomes on excision histology for the spectrum of B3 lesions. This may be achieved through two approaches, the first being the evaluation of molecular or genetic markers as indicators of malignancy. Although genetic profiling has indicated that current histological classification of breast cancer does not predict either lymph node metastases or response to therapy, it remains possible that the combination of genetic profile and core needle histology could provide a new diagnostic modality with the greatest discriminatory ability for outcomes. The second approach is the development of predictive systems based on clinical–radiological–CNB correlates with excision histology. We are currently exploring the latter of these approaches.