Predictors of invasion in needle core biopsies of the breast with ductal carcinoma in situ

Real-World Diagnostic Accuracy of the On-Site Cytopathology Advance Report (OSCAR) Procedure Performed in a Multidisciplinary One-Stop Breast Clinic

Fine-needle aspiration (FNA) cytology has been widely used for the diagnosis of breast cancer lesions with the objective of differentiating benign from malignant masses. However, the occurrence of unsatisfactory samples and false-negative rates remains a matter of concern. Major improvements have been made thanks to the implementation of rapid on-site evaluation (ROSE) in multidisciplinary and integrated medical settings such as one-stop clinics (OSCs). In these settings, clinical and radiological examinations are combined with a morphological study performed by interventional pathologists. The aim of our study was to assess the diagnostic accuracy of the on-site cytopathology advance report (OSCAR) procedure on breast FNA cytologic samples in our breast OSC during the first three years (April 2004 till March 2007) of its implementation. To this goal, we retrospectively analyzed a series of 1820 breast masses (1740 patients) radiologically classified according to the American College of Radiology (ACR) BI-RADS lexicon (67.6% being either BI-RADS 4 or 5), sampled by FNA and immediately diagnosed by cytomorphology. The clinicoradiological, cytomorphological, and histological characteristics of all consecutive patients were retrieved from the hospital computerized medical records prospectively registered in the central information system. Histopathological analysis and ultrasound (US) follow-up (FU) were the reference diagnostic tests of the study design. In brief, we carried out either a histopathological verification or an 18-month US evaluation when a benign cytology was concordant with the components of the triple test. Overall, histology was available for 1138 masses, whereas 491 masses were analyzed at the 18-month US-FU. FNA specimens were morphologically nondiagnostic in 3.1%, false negatives were observed in 1.5%, and there was only one false positive (0.06%). The breast cancer prevalence was 62%. Diagnostic accuracy measures of the OSCAR procedure with their 95% confidence intervals (95% CI) were the following: sensitivity (Se) = 97.4% (96.19-98.31); specificity (Sp) = 94.98% (92.94-96.56); positive predictive value (PPV) = 96.80% (95.48-97.81); negative predictive value (NPV) = 95.91% (94.02-97.33); positive likelihood ratio (LR+) = 19.39 (13.75-27.32); negative predictive ratio (LR-) = 0.03 (0.02-0.04), and; accuracy = 96.45% (95.42-97.31). The respective positive likelihood ratio (LR+) for each of the four categories of cytopathological diagnoses (with their 95% CI) which are malignant, suspicious, benign, and nondiagnostic were 540 (76-3827); 2.69 (1.8-3.96); 0.03 (0.02-0.04); and 0.37 (0.2-0.66), respectively. In conclusion, our study demonstrates that the OSCAR procedure is a highly reliable diagnostic approach and a perfect test to select patients requiring core-needle biopsy (CNB) when performed by interventional cytopathologists in a multidisciplinary and integrated OSC setting. Besides drastically limiting the rate of nondiagnostic specimens and diagnostic turn-around time, OSCAR is an efficient and powerful first-line diagnostic approach for patient-centered care.

Ductal Carcinoma In Situ (DCIS) at Breast MRI: Predictors of Upgrade to Invasive Carcinoma

RATIONALE AND OBJECTIVES

To determine the upgrade rate of magnetic resonance imaging (MRI)-detected ductal carcinoma in situ (DCIS) and to identify patient, imaging, and pathologic features that may predict the risk of upgrade.

MATERIALS AND METHODS

Medical chart review from January 2007 to December 2016 identified 60 patients with 61 cases of MRI-detected DCIS and negative mammographic evaluations within 1 year prior to the MRI. Imaging and pathology reports were reviewed. Standard statistical tests, including Student's t-tests and chi-square tests, were used to compare patient, imaging, and pathologic features between the cases of DCIS that did and did not upgrade to invasive carcinoma at surgery.

RESULTS

Over a 10-year period, 60 patients (mean age 52 years, range 30-76 years) were diagnosed with 61 cases of MRI-detected DCIS. Two-thirds of DCIS cases were detected on MRI examinations that were performed for purposes of high-risk screening (67.2%, 41/61). MRI features that led to the DCIS diagnosis were nonmass enhancement in 78.7% (48/61), enhancing mass in 16.4% (10/61), nonmass enhancement and enhancing mass in 3.3% (2/61), and enhancing focus in 1.6% (1/61). Thirteen cases (21.3%, 13/61) were upgraded to invasive ductal carcinoma at surgery. DCIS cases that upgraded were larger on MRI (40 mm vs 17 mm, p < 0.01) and more likely to be associated with comedonecrosis at biopsy (38.5% [5/13] vs 6.3% [3/48], p < 0.01).

CONCLUSION

The upgrade rate of MRI-detected DCIS to invasive ductal carcinoma at surgery is 21.3%. Features that are associated with upgrade include large size on MRI and the presence of comedonecrosis at biopsy.

The predictive value of calcification for the grading of ductal carcinoma in situ in Chinese patients

High-grade ductal carcinoma in situ (DCIS) requires resection due to the high risk of developing invasive breast cancer. The predictive powers of noninvasive predictors for high-grade DCIS remain contradictory. This study aimed to explore the predictive value of calcification for high-grade DCIS in Chinese patients.This was a retrospective study of Chinese DCIS patients recruited from the Women's Hospital, School of Medicine, Zhejiang University between January and December 2018. The patients were divided into calcification and non-calcification groups based on the mammography results. The correlation of calcification with the pathologic stage of DCIS was evaluated using the multivariable analysis. The predictive value of calcification for DCIS grading was examined using the receiver operating characteristics (ROC) curve.The pathologic grade of DCIS was not associated with calcification morphology (P = .902), calcification distribution (P = .252), or breast density (P = .188). The multivariable analysis showed that the presence of calcification was independently associated with high pathologic grade of DCIS (OR = 3.206, 95% CI = 1.315-7.817, P = .010), whereas the age, hypertension, menopause, and mammography BI-RADS were not (all P > .05) associated with the grade of DCIS. The ROC analysis of the predictive value of calcification for DCIS grading showed that the area under the curve was 0.626 (P = .019), with a sensitivity of 73.1%, specificity of 52.2%, positive predictive value of 72.2%, and negative predictive value of 53.3%.The presence of calcification is independently associated with high pathologic grade of DCIS and could predict high-grade DCIS in Chinese patients.

Factors predictive of invasive ductal carcinoma in cases preoperatively diagnosed as ductal carcinoma in situ

Background

Invasion is often found during postoperative pathological examination of cases diagnosed as ductal carcinoma in situ (DCIS) by histological examinations such as core needle biopsy (CNB) or vacuum-assisted biopsy (VAB). A meta-analysis reported that 25.9% of invasive ductal carcinoma (IDC) cases are preoperatively diagnosed by CNB as DCIS. Risk factors for invasion have been studied by postoperative examination, but no factors have been found that could be obtained preoperatively from blood tests. In this study, we investigated factors predictive of invasion based on preoperative blood tests in patients diagnosed with DCIS by preoperative biopsy.

Methods

In this study, 118 patients who were diagnosed with DCIS by preoperative biopsy were included. Biopsies were performed with 16-gauge CNB or VAB. Peripheral blood was obtained at the time of diagnosis. This study evaluated absolute platelet count, absolute lymphocyte count, lactate dehydrogenase, carcinoembryonic antigen, and cancer antigen 15–3 (CA15–3). The platelet–lymphocyte ratio (PLR) was calculated by dividing the absolute platelet count by the absolute lymphocyte count, and patients were grouped into high PLR (≥160.0) and low PLR (< 160.0) groups.

Results

Invasion was found more frequently after surgery in pathologically high-grade cases than in pathologically not-high-grade cases (p = 0.015). The median PLR was 138.9 and 48 patients (40.7%) were classified into the high PLR group. The high PLR group was significantly more likely to have invasion detected by the postoperative pathology than the low PLR group (p = 0.018). In multivariate analysis of factors predictive of invasion in postoperative pathology, a high PLR (p = 0.006, odds ratio [OR] = 3.526) and biopsy method (VAB vs. CNB, p = 0.001, OR = 0.201) was an independent risk factor.

Conclusions

The PLR may be a predictor of invasion in the postoperative pathology for patients diagnosed with DCIS by preoperative biopsy.

Predictive factors for the presence of invasive components in patients diagnosed with ductal carcinoma in situ based on preoperative biopsy

Background

In patients diagnosed with ductal carcinoma in situ (DCIS) with needle biopsy before surgery, invasive component (IC) is often found in the postoperative tissue, which results in altered post-surgical care. However, there are no clinically available factors to predict IC, and few MRI studies are available for the detection of IC in DCIS patients. The purpose of this study was to evaluate which risk factors can predict IC preoperatively.

Methods

Patients with a DCIS diagnosis based on preoperative biopsy, who underwent breast surgery Kangbuk Samsung Hospital between Jan 2005 and June 2018, were retrospectively evaluated. Clinico-pathological and breast MRI factors were compared between DCIS and DCIS with IC in postsurgical specimens.

Results

Of the 431 patients with a preoperative diagnosis of DCIS, 34 (7.9%) showed IC during the postoperative pathological investigations, and 217 (50.3%) underwent breast MRI. Among MRI-related factors, Mass-like enhancement on MRI was the sole but significant predictor of IC (HR = 0.26, C.I. = 0.07–0.93, p = 0.038), while nipple-areolar complex invasion, enhancement peak and pattern were not statistically significant. Nuclear grade was the only significant predictor of IC in the analysis of other clinico-pathological factors (HR = 2.39, C.I. = 1.05–5.42, p = 0.038 in univariate analysis, HR = 2.86, C.I. = 1.14–7.14, p = 0.025 in multivariate analysis).

Conclusions

Mass-like enhancement on MRI and high nuclear grade were associated with IC in patients with preoperative diagnosis of DCIS. Considering the high sensitivity of breast MRI for IC, further evaluation of the predictive value of MRI in preoperative DCIS patients is desirable.

Feasibility of the Less Is More Approach in Treating Low-Risk Ductal Carcinoma In Situ Diagnosed on Core Needle Biopsy: Ten-Year Review of Ductal Carcinoma In Situ Upgraded to Invasion at Surgery

CONTEXT

- Ductal carcinoma in situ (DCIS) represents 20% of screen-detected breast cancers. The likelihood that certain types of DCIS are slow growing and may never progress to invasion suggests that our current standards of treating DCIS could result in overtreatment. The LORIS (LOw RISk DCIS) and LORD (LOw Risk DCIS) trials address these concerns by randomizing patients with low-risk DCIS to either active surveillance or conventional treatment.

OBJECTIVE

- To determine the upgrade rate of DCIS diagnosed on core needle biopsy to invasive carcinoma at surgery and to evaluate the safety of managing low-risk DCIS with surveillance alone, by characterizing the pathologic and clinical features of upgraded cases and applying criteria of the LORD and LORIS trials to these cases.

DESIGN

- A 10-year retrospective analysis of DCIS on core needle biopsy with subsequent surgery.

RESULTS

- We identified 1271 cases of DCIS on core needle biopsy: 200 (16%) low grade, 649 (51%) intermediate grade, and 422 (33%) high grade. Of the 1271 cases, we found an 8% upgrade rate to invasive carcinoma (n = 105). Nineteen of the 105 upgraded cases (18%) had positive lymph nodes. Low-grade DCIS was least likely to upgrade to invasion, comprising 10% (10 of 105) of upgraded cases. Three of the 105 upgraded cases (3%) met criteria for the LORD trial, and all were low-grade DCIS on core needle biopsy with favorable biology on follow-up.

CONCLUSIONS

- There is a clear risk of upgrade to invasion on follow-up excision; however, applying strict criteria of the LORD trial effectively decreases the likelihood of a missed invasive component or missed aggressive pathologic features.

Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?

PURPOSE

To assess the ability of algorithmically assessed magnetic resonance imaging (MRI) features to predict the likelihood of upstaging to invasive cancer in newly diagnosed ductal carcinoma in situ (DCIS).

MATERIALS AND METHODS

We identified 131 patients at our institution from 2000-2014 with a core needle biopsy-confirmed diagnosis of pure DCIS, a 1.5 or 3T preoperative bilateral breast MRI with nonfat-saturated T1 -weighted MRI sequences, no preoperative therapy before breast MRI, and no prior history of breast cancer. A fellowship-trained radiologist identified the lesion on each breast MRI using a bounding box. Twenty-nine imaging features were then computed automatically using computer algorithms based on the radiologist's annotation.

RESULTS

The rate of upstaging of DCIS to invasive cancer in our study was 26.7% (35/131). Out of all imaging variables tested, the information measure of correlation 1, which quantifies spatial dependency in neighboring voxels of the tumor, showed the highest predictive value of upstaging with an area under the curve (AUC) = 0.719 (95% confidence interval [CI]: 0.609-0.829). This feature was statistically significant after adjusting for tumor size (P < 0.001).

CONCLUSION

Automatically assessed MRI features may have a role in triaging which patients with a preoperative diagnosis of DCIS are at highest risk for occult invasive disease.

LEVEL OF EVIDENCE

4 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1332-1340.

MCT1 in Invasive Ductal Carcinoma: Monocarboxylate Metabolism and Aggressive Breast Cancer

Introduction: Monocarboxylate transporter 1 (MCT1) is an importer of monocarboxylates such as lactate and pyruvate and a marker of mitochondrial metabolism. MCT1 is highly expressed in a subgroup of cancer cells to allow for catabolite uptake from the tumor microenvironment to support mitochondrial metabolism. We studied the protein expression of MCT1 in a broad group of breast invasive ductal carcinoma specimens to determine its association with breast cancer subtypes and outcomes.

Methods: MCT1 expression was evaluated by immunohistochemistry on tissue micro-arrays (TMA) obtained through our tumor bank. Two hundred and fifty-seven cases were analyzed: 180 cases were estrogen receptor and/or progesterone receptor positive (ER+ and/or PR+), 62 cases were human epidermal growth factor receptor 2 positive (HER2+), and 56 cases were triple negative breast cancers (TNBC). MCT1 expression was quantified by digital pathology with Aperio software. The intensity of the staining was measured on a continuous scale (0-black to 255-bright white) using a co-localization algorithm. Statistical analysis was performed using a linear mixed model.

Results: High MCT1 expression was more commonly found in TNBC compared to ER+ and/or PR+ and compared to HER-2+ (p < 0.001). Tumors with an in-situ component were less likely to stain strongly for MCT1 (p < 0.05). High nuclear grade was associated with higher MCT1 staining (p < 0.01). Higher T stage tumors were noted to have a higher expression of MCT1 (p < 0.05). High MCT1 staining in cancer cells was associated with shorter progression free survival, increased risk of recurrence, and larger size independent of TNBC status (p < 0.05).

Conclusion: MCT1 expression, which is a marker of high catabolite uptake and mitochondrial metabolism, is associated with recurrence in breast invasive ductal carcinoma. MCT1 expression as quantified with digital image analysis may be useful as a prognostic biomarker and to design clinical trials using MCT1 inhibitors.

Ductal carcinoma in situ diagnosed by breast needle biopsy: Predictors of invasion in the excision specimen

BACKGROUND

A substantial proportion of women with a pre-operative diagnosis of pure ductal carcinoma in situ (DCIS) has a final diagnosis of invasive breast cancer (IBC) after surgical excision and, consequently, a potential indication for lymph node staging. The aim of our study was to identify novel predictors of invasion in patients with a needle-biopsy diagnosis of DCIS that would help us to select patients that may benefit from a sentinel node biopsy (SNB).

PATIENTS AND METHODS

We included 153 patients with a needle-biopsy diagnosis of DCIS between 2000 and 2014, which was followed by surgical excision. Several pre-operative clinical, radiological and pathological features were assessed and correlated with the presence of invasion in the excision specimen. Features that were significantly associated with upstaging in the univariable analysis were combined to calculate upstaging risks.

RESULTS

Overall, 22% (34/155) of the patients were upstaged to IBC. The following risk factors were significantly associated with upstaging: palpability, age ≤40 years, mammographic mass lesion, moderate to severe periductal inflammation and periductal loss of decorin expression. The upstaging-risk correlated with the number of risk factors present: e.g. 9% for patients without risk factors, 29% for patients with 1 risk factor, 37% for patients with 2 risk factors and 54% for patients with ≥3 risk factors.

CONCLUSION

The identified risk factors may be helpful to predict the upstaging-risk for patients with a needle-biopsy diagnosis of pure DCIS, which facilitates the performance of a selective SNB for high-risk patients and avoid this procedure in low-risk patients.

Preoperative clinicopathologic factors and breast magnetic resonance imaging features can predict ductal carcinoma in situ with invasive components

PURPOSE

Ductal carcinoma in situ (DCIS) is a non-invasive cancerous breast lesion; however, from 10% to 50% of patients with DCIS diagnosed by core needle biopsy (CNB) or vacuum-assisted core biopsy (VACB) are shown to have invasive carcinoma after surgical excision. In this study, we evaluated whether preoperative clinicopathologic factors and breast magnetic resonance image (MRI) features are predictive of DCIS with invasive components before surgery.

MATERIALS AND METHODS

Patients comprised 128 adult women with a diagnosis of DCIS as determined by pathological analysis of CNB or VACB specimens and positive MRI findings who underwent breast surgery during the period January 2011 to December 2013 at the Changhua Christian Hospital. Clinicopathologic and breast MRI factors were compared between patients with postoperative pathology indicative of true DCIS and those with postoperative pathology showing DCIS with invasive components.

RESULTS

Of the 128 patients with a preoperative diagnosis of DCIS, 73 (57.0%) had postoperative histopathologic evidence of true DCIS and 55 (43.0%) showed evidence of DCIS with invasive components. Results of statistical analyses revealed that MRI evidence of a mass-like lesion (P=0.025), nipple-areolar complex (NAC) invasion (P=0.029), larger tumor volume (P=0.010), larger maximum measurable apparent diffusion coefficient (ADC) area (P=0.039), heterogenous or rim enhancement pattern (P=0.010), as well as immunohistochemical evidence of human epidermal growth factor receptor 2 (HER-2) overexpression (P=0.010) were predictive of DCIS with an invasive component in postoperative surgical specimens.

CONCLUSION

Invasive component should be considered in biopsy proven DCIS patients with preoperative MRI evidence of a mass-like lesion, nipple-areolar complex invasion, large tumor volume, a larger maximum measurable ADC area, or a rim or heterogenous enhancement pattern, as well as in patients with immunohistochemical evidence of HER-2 overexpression.

Poorly differentiated component in gastric pinch biopsies predicts submucosal invasion

Background

Endoscopic resection has become standard therapy for selected patients with early gastric carcinoma (EGC). However, the preoperative diagnostic accuracy for excluding submucosal (SM) invasion is not precise. Moreover, histologic features predicting SM invasion in gastric carcinomas (SMiGC) have not been studied extensively.

Methods

Pre-treatment gastric biopsies from 60 patients with SM invasion who underwent endoscopic resection were reviewed and compared to 58 biopsies of lesions confirmed to be intramucosal carcinomas (IMC). For validation of the results, an independent cohort consisting of 616 gastric biopsies confirmed as EGC were analyzed. For statistical analyses, χ-square test, Fisher’s exact test and multiple logistic progression tests were used.

Results

In the biopsy specimens of patients with SMiGCs, differentiated histology, poorly differentiated component, wisps of muscularis mucosa, tumor cribriforming, papillary architecture, desmoplasia and intraglandular eosinophilic necrotic debris (IEND) were observed in 96.7%, 36.7%, 16.7%, 16.7%, 23.3%, 40%, and 46.7% of cases, respectively, while the same features were observed in 100%, 5.2%, 0%, 1.7%, 5.2%, 19%, and 22.4% of biopsies with IMC. In multivariate analyses, poorly differentiated component [odds ratio (OR), 9.59, p = 0.002], IEND [OR, 6.23, p = 0.012], tumor cribriforming [OR, 4.66, p = 0.03] and papillary architecture [OR, 5.52, p = 0.018] were significantly associated with the detection of SM invasion. In the validation cohort, poorly differentiated component (p = 0.003) and papillary architecture (p = 0.008) remained significant.

Conclusion

Poorly differentiated component and papillary architecture are significant histopathologic predictors of SM invasion in pretreatment gastric biopsies of lesions considered for endoscopic therapy. Additional prospective studies are warranted to confirm our findings.

Virtual slide

The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1588557731103084

Ductal carcinoma in situ diagnosed at US-guided 14-gauge core-needle biopsy for breast mass: preoperative predictors of invasive breast cancer

OBJECTIVES

To identify preoperative features that could be used to predict invasive breast cancer in women with a diagnosis of ductal carcinoma in situ (DCIS) at ultrasound (US)-guided 14-gauge core needle biopsy (CNB).

METHODS

A total of 86 DCIS lesions that were diagnosed at US-guided 14-gauge CNB and excised surgically in 84 women were assessed. We retrospectively reviewed the patients' medical records, mammography, US, and MR imaging. We compared underestimation rates of DCIS for the collected clinical and radiologic variables and determined the preoperative predictive factors for upstaging to invasive cancer.

RESULTS

Twenty-seven (31.4%) of 86 DCIS lesions were upgraded to invasive cancer. Preoperative features that showed a significantly higher underestimation of DCIS were palpability or nipple discharge (p=0.040), number of core specimens less than 5 (p=0.011), mammographic maximum lesion size of 25 mm or larger (p=0.022), mammographic mass size of 40 mm or larger (p=0.046), sonographic mass size of 32 mm or larger (p=0.009), lesion size of 30 mm on MR (p=0.004), lower signal intensity (SI) on fat-saturated T2-weighted MR images (FS-T2WI) (p=0.005), heterogeneous or rim enhancement on MR images (p=0.009), and apparent diffusion coefficient (ADC) values lower than 1.04 × 10(-3)mm(2)/s on diffusion-weighted MR imaging (DWI) (p<0.001).

CONCLUSION

Clinical symptom of palpability or nipple discharge, number of core specimen, mammographic maximum lesion or mass size, SI on FS-T2WI, heterogeneous or rim enhancement on MR, and ADC value may be helpful in predicting the upgrade to invasive breast cancer for DCIS diagnosed at US-guided 14-gauge CNB.

Nomogram for predicting invasion in patients with a preoperative diagnosis of ductal carcinoma in situ of the breast

Background

The aim of this study was to identify risk factors for invasive breast cancer in patients diagnosed with ductal carcinoma in situ (DCIS) on a preoperative biopsy. These factors were used to develop a nomogram for predicting the risk of invasion in the preoperative setting.

Methods

This was a retrospective analysis of patients who underwent surgical treatment for DCIS diagnosed before surgery between 1997 and 2009. Multivariable analysis was used to identify clinical, radiological and histopathological factors that may predict upstaging. A nomogram was developed to predict the probability of invasion using multiple logistic regression analysis. This nomogram was subsequently validated using another cohort of patients with a preoperative diagnosis of DCIS between 2010 and 2012.

Results

Upstaging to invasive cancer occurred in 123 (24.9 per cent) of 493 women treated between 1997 and 2009. A larger DCIS lesion (at least 15 mm), lack of hormone receptor expression, intermediate or high nuclear grade, diagnosis on core biopsy compared with vacuum-assisted biopsy, and non-cribriform subtype of DCIS were significantly associated with upstaging. A nomogram developed using these factors demonstrated good predictive performance (area under the receiver operating characteristic (ROC) curve (AUC) 0·823, 95 per cent confidence interval 0·787 to 0·860). The nomogram showed similar predictive performance in the validation data set, based on another 149 women (AUC 0·700, 0·613 to 0·786).

Conclusion

Upstaging to invasive cancer in women with a preoperative diagnosis of DCIS is common. A nomogram based on the five most significant factors related to upstaging accurately predicted invasive cancer. This nomogram may be useful when deciding whether to pursue axillary staging with sentinel lymph node biopsy in patients with DCIS.

Development and evaluation of a prediction model for underestimated invasive breast cancer in women with ductal carcinoma in situ at stereotactic large core needle biopsy

BACKGROUND

We aimed to develop a multivariable model for prediction of underestimated invasiveness in women with ductal carcinoma in situ at stereotactic large core needle biopsy, that can be used to select patients for sentinel node biopsy at primary surgery.

METHODS

From the literature, we selected potential preoperative predictors of underestimated invasive breast cancer. Data of patients with nonpalpable breast lesions who were diagnosed with ductal carcinoma in situ at stereotactic large core needle biopsy, drawn from the prospective COBRA (Core Biopsy after RAdiological localization) and COBRA2000 cohort studies, were used to fit the multivariable model and assess its overall performance, discrimination, and calibration.

RESULTS

348 women with large core needle biopsy-proven ductal carcinoma in situ were available for analysis. In 100 (28.7%) patients invasive carcinoma was found at subsequent surgery. Nine predictors were included in the model. In the multivariable analysis, the predictors with the strongest association were lesion size (OR 1.12 per cm, 95% CI 0.98-1.28), number of cores retrieved at biopsy (OR per core 0.87, 95% CI 0.75-1.01), presence of lobular cancerization (OR 5.29, 95% CI 1.25-26.77), and microinvasion (OR 3.75, 95% CI 1.42-9.87). The overall performance of the multivariable model was poor with an explained variation of 9% (Nagelkerke's R(2)), mediocre discrimination with area under the receiver operating characteristic curve of 0.66 (95% confidence interval 0.58-0.73), and fairly good calibration.

CONCLUSION

The evaluation of our multivariable prediction model in a large, clinically representative study population proves that routine clinical and pathological variables are not suitable to select patients with large core needle biopsy-proven ductal carcinoma in situ for sentinel node biopsy during primary surgery.

[Predictive factors of invasion with initial diagnosis of ductal carcinoma in situ based on core biopsy]

INTRODUCTION

Previous studies suggest that sentinel lymph node biopsy (SLNB) should not be performed in case of pure ductal carcinoma in situ (DCIS) routinely. In order to avoid a second operation for invasive cancer detected postoperatively the chance of invasion need to be determined preoperatively. The purpose of our retrospective study was to evaluate the sensitivity of core biopsy and determine the predictive value of clinical and histological factors of invasion in cases when DCIS diagnosed preoperatively.

MATERIAL AND METHODS

Between January 2006 and December 2011, 1311 patients were treated for breast cancer in our institute, of whom preoperative core biopsy showed DCIS in 50 cases. Wide excision or quadrantectomy was performed in 41 cases, re-excision was necessary in 6 cases for positive surgical margins and mastectomy was carried out in four patients for multicentricity. In further 9 cases extensive tumour size indicated mastectomy straight away. SLNB was carried out in 31 patients, axillary block dissection (ABD) in 8 patients, while ABD for positive sentinel nodes in another two cases. Pathology showed invasion in 17 (34,7 %) cases.

RESULTS

Multivariate analysis showed that tumour grade, symptomatic disease, patients' age were significant predictors of invasion. Although preoperative tumour size also showed correlation with invasiveness, this was statistically not significant.

CONCLUSION

Evaluation of a larger patient population might be helpful to identify women who should undergo tumour excision and SLNB as a single step operation due to increased risk of invasive disease despite the preoperative diagnosis of DCIS.

Ductal carcinoma in situ at core-needle biopsy: meta-analysis of underestimation and predictors of invasive breast cancer

PURPOSE

To perform a meta-analysis to report pooled estimates for underestimation of invasive breast cancer (where core-needle biopsy [CNB] shows ductal carcinoma in situ [DCIS] and excision histologic examination shows invasive breast cancer) and to identify preoperative variables that predict invasive breast cancer.

MATERIALS AND METHODS

Studies were identified by searching MEDLINE and were included if they provided data on DCIS underestimates (overall and according to preoperative variables). Study-specific and pooled percentages for DCIS underestimates were calculated. By using meta-regression (random effects logistic modeling) the association between each study-level preoperative variable and understaged invasive breast cancer was investigated.

RESULTS

Fifty-two studies that included 7350 cases of DCIS with findings at excision histologic examination as the reference standard met the eligibility criteria and were included. There were 1736 underestimates (invasive breast cancer at excision); the random-effects pooled estimate was 25.9% (95% confidence interval: 22.5%, 29.5%). Preoperative variables that showed significant univariate association with higher underestimation included the use of a 14-gauge automated device (vs 11-gauge vacuum-assisted biopsy, P = .006), high-grade lesion at CNB (vs non-high grade lesion, P < .001), lesion size larger than 20 mm at imaging (vs lesions ≤ 20 mm, P < .001), Breast Imaging Reporting and Data System (BI-RADS) score of 4 or 5 (vs BI-RADS score of 3, P for trend = .005), mammographic mass (vs calcification only, P < .001), and palpability (P < .001).

CONCLUSION

About one in four DCIS diagnoses at CNB represent understaged invasive breast cancer. Preoperative variables significantly associated with understaging include biopsy device and guidance method, size, grade, mammographic features, and palpability.