US of mammographically detected clustered microcalcifications

PURPOSE: To determine whether ultrasonography (US) can depict breast masses associated with mammographically detected clustered microcalcifications and whether the visibility at US is different between benign and malignant lesions. MATERIALS AND METHODS: Ninety-four patients with 100 mammographically detected microcalcification clusters prospectively underwent US with a 10- or 12-MHz transducer before mammographically guided presurgical hook-wire localization. The visibility of breast masses at US was correlated with histologic and mammographic findings. RESULTS: Surgical biopsy revealed 62 benign lesions, 30 intraductal cancers, and eight invasive cancers. At US, breast masses associated with microcalcifications were seen in 45 (45%) of 100 cases. US depicted more breast masses associated with malignant (31 [82%] of 38) than with benign (14 [23%] of 62) microcalcifications (P: <.001). In malignant microcalcification clusters larger than 10 mm, US depicted associated breast masses in all 25 cases. There was no statistically significant difference in shape and distribution of calcific particles, as well as in breast composition, at mammography between US visible and invisible groups. CONCLUSION: Given a known mammographic location, US with a high-frequency transducer can depict breast masses associated with malignant microcalcifications, particularly clusters larger than 10 mm. US can be used to visualize large clusters of microcalcifications that have a very high suspicion of malignancy.     

Local tumor recurrence following breast-conservation therapy: correlation of histopathologic findings with detection method and mammographic findings.

PURPOSE: To correlate histopathologic findings with detection method and mammographic appearance in primary and locally recurrent breast carcinoma after breast-conservation therapy. MATERIALS AND METHODS: Medical records and mammographic findings were retrospectively reviewed; 26 patients with 27 local recurrences after breast-conservation therapy were identified. RESULTS: Primary histopathologic findings included six in situ and 20 invasive carcinomas. Of the 27 recurrences, 19 (70%) were at or adjacent to the lumpectomy site and eight (30%) were elsewhere in the breast. All primary ductal carcinoma in situ (DCIS) cases manifested mammographically as microcalcifications and recurred as DCIS with microcalcifications. Eleven primary invasive carcinomas (10 masses, one case of microcalcifications) were detected only mammographically, three were detected only with physical examination, and six (six masses) were detected with both. Among these 20 recurrences, 14 (five masses, nine cases of microcalcifications) were detected only mammographically, one was detected only with physical examination, and five (five masses) were detected with both. Seventeen (85%) of 20 primary invasive carcinomas recurred invasively: 16 (94%) with similar histopathologic findings and eight (47%) with similar mammographic findings. CONCLUSION: In local recurrence after breast-conservation therapy for DCIS, histopathologic findings, detection method, and mammographic findings are usually similar. Histopathologic findings of primary invasive breast carcinoma and local recurrence are usually similar, but the detection method and mammographic findings vary. This is relevant to the interpretation of new clinical or mammographic findings following lumpectomy.     

Screening mammography-detected cancers: sensitivity of a computer-aided detection system applied to full-field digital mammograms

PURPOSE: To retrospectively evaluate the sensitivity of the performance of a computer-aided detection (CAD) system applied to full-field digital mammograms for detection of breast cancers in a screening group, with histologic findings as the reference standard. MATERIALS AND METHODS: This study had institutional review board approval, and patient informed consent was waived. A commercially available CAD system was applied to the digital mammograms of 103 women (mean age, 51 years; range, 35-69 years) with 103 breast cancers detected with screening. Sensitivity values of the CAD system according to mammographic appearance, breast composition, and histologic findings were analyzed. Normal mammograms from 100 women (mean age, 54 years; age range, 35-75 years) with no mammographic and clinical abnormality during 2-year follow-up were used to determine false-positive CAD system marks. Differences between the cancer detection rates in fatty and dense breasts for the CAD system were compared by using the chi(2) test. RESULTS: The CAD system correctly marked 99 (96.1%) of 103 breast cancers. The CAD system marked all 44 breast cancers that manifested as microcalcifications only, all 23 breast cancers that manifested as a mass with microcalcifications, and 32 (89%) of 36 lesions that appeared as a mass only. The sensitivity of the CAD system in the fatty breast group was 95% (59 of 62) and in the dense breast group was 98% (40 of 41) (P = .537). The CAD system correctly marked all 31 lesions of ductal carcinoma in situ (DCIS), all 22 lesions of invasive ductal carcinoma with DCIS, the single invasive lobular carcinoma lesion, and 45 (92%) of 49 lesions of invasive ductal carcinoma. On normal mammograms, the mean number of false-positive marks per patient was 1.80 (range, 0-10 marks; median, 1 mark). CONCLUSION: The CAD system can correctly mark most (96.1%) asymptomatic breast cancers detected with digital mammographic screening, with acceptable false-positive marks (1.80 per patient).     

Performance of computer-aided detection applied to full-field digital mammography in detection of breast cancers

Objective

The aim of this retrospective study was to evaluate performance of computer-aided detection (CAD) with full-field digital mammography (FFDM) in detection of breast cancers.

Materials and Methods

CAD was retrospectively applied to standard mammographic views of 127 cases with biopsy proven breast cancers detected with FFDM (Senographe 2000, GE Medical Systems). CAD sensitivity was assessed in total group of 127 cases and for subgroups based on breast density, mammographic lesion type, mammographic lesion size, histopathology and mode of presentation.

Results

Overall CAD sensitivity was 91% (115 of 127 cases). There were no statistical differences (p > 0.1) in CAD detection of cancers in dense breasts 90% (53/59) versus non-dense breasts 91% (62/68). There was statistical difference (p < 0.05) in CAD detection of cancers that appeared mammographically as microcalcifications only versus other mammographic manifestations. CAD detected 100% (44/44) of cancers manifesting as microcalcifications, 89% (47/53) as no-calcified masses or asymmetries, 88% (14/16) as masses with associated calcifications, and 71% (10/14) as architectural distortions. CAD sensitivity for cancers 1-10 mm was 84% (38/45); 11-20 mm 93% (55/59); and >20 mm 97% (22/23).

Conclusion

CAD applied to FFDM showed 100% sensitivity in identifying cancers manifesting as microcalcifications only and high sensitivity 86% (71/83) for other mammographic appearances of cancer. Sensitivity is influenced by lesion size. CAD in FFDM is an adjunct helping radiologist in early detection of breast cancers.     

Computer-aided detection with screening mammography in a university hospital setting

PURPOSE: To prospectively assess the effect of computer-aided detection (CAD) on screening mammogram interpretation in an academic medical center to determine if the outcome is different than that previously reported for community practices. MATERIALS AND METHODS: Institutional review board approval was granted, and informed consent was waived. During a 19-month period, 8682 women (median age, 54 years; range, 33-95 years) underwent screening mammography. Each mammogram was interpreted by one of seven radiologists, followed by immediate re-evaluation of the mammogram with CAD information. Each recalled case was classified as follows: radiologist perceived the finding and CAD marked it, radiologist perceived the finding and CAD did not mark it, or CAD prompted the radiologist to perceive the finding and recall the patient. Lesion type was also recorded. Recalled patients were tracked to determine the effect of CAD on recall and biopsy recommendation rates, positive predictive value (PPV) of biopsy, and cancer detection rate. A 95% confidence interval was calculated for cancer detection rate. Pathologic examination was performed for all cancers. RESULTS: Of 8682 patients, 863 (9.9%) with 960 findings were recalled for further work-up (Breast Imaging Reporting and Data System category 0). After further diagnostic imaging, it was recommended that biopsy or aspiration be performed for 181 of 960 findings (19%); 165 interventions were confirmed to have been performed. Twenty-nine cancers were found in this group, with a PPV for biopsy of 18% (29 of 165 findings) and a cancer detection rate of 3.3 per 1000 screening mammograms (29 of 8682 patients). CAD-prompted recalls contributed 8% (73 of 960 findings) of total recalled findings and 7% (two of 29 lesions) of cancers detected. Of 29 cancers (59%), 17 manifested as masses and 12 (41%) were microcalcifications. Ten (34%) cancers were ductal carcinoma in situ, and the remaining cancers had an invasive component. Both cancers found with CAD manifested as masses, and both were invasive ductal carcinoma. CONCLUSION: Prospective clinical use of CAD in a university hospital setting resulted in a 7.4% increase (from 27 to 29) in cancers detected. Both cancers were nonpalpable masses.     

Computer-assisted detection as a second reader in symptomatic Asian women with palpable breast cancer

Purpose: To determine the potential role of a computer-assisted detection (CAD) algorithm as a second reader for experienced and inexperienced radiologists in mammography reading in Asian women.

Material and Methods: Two-view mammograms performed in 124 consecutive patients who presented with palpable breast cancer masses were retrospectively evaluated by two experienced breast radiologists (7 and 10 years' experience). The original reports of the session radiologists with variable experience of reading mammograms (2 to more than 10 years) were also evaluated. The number of suspicious masses and microcalcification clusters detected in each patient by both groups of radiologists were recorded. The radiologists then re-evaluated the films with the CAD system as a second reader. Any improvement in the detectability of breast pathology by either the experienced radiologists and/or by the session radiologists was then assessed. A total of 127 breasts had biopsy-proven carcinoma; 74 breasts had mastectomy performed. All the imaging results were correlated with tru-cut biopsy or mastectomy histology.

Results: With CAD-aided interpretation, there were altogether 95 visible masses and 77 suspicious microcalcification clusters in 109 mammographically detectable cancers correlated with histology results. There was a 7.4% (7/95) and 10.4% (8/77) increase in the number of masses and microcalcification clusters detected, respectively, by the experienced radiologists after application of CAD, whereas the increase was 13.7% (13/95) and 27.3% (21/77) for detection of masses and microcalcifications by the session radiologists, respectively. In 9 patients, a secondary focus detected by CAD was confirmed by histology. Three patients had contralateral breast tumors, 1 had a satellite invasive tumor while 5 had ductal carcinoma in situ on the same breast. Based on the biopsies and 74 mastectomies, the true-positive and false-positive detection rate of CAD was 92.6% and 31.8% for detection of carcinomas. The true-positive and false-positive detection rates were 100% and 58.8% for microcalcification clusters.

Conclusion: The current generation CAD algorithm helped to improve the detection rate of carcinomas, calcifications and multifocality in Asian breasts.     

Tumour detection rate of a new commercially available computer-aided detection system

The aim of this study was to determine the tumour detection rate and false positive rate of a new mammographic computer-aided detection system (CAD) in order to assess its clinical usefulness. The craniocaudal and oblique images of 150 suspicious mammograms from 150 patients that were histologically proven to be malignant were analysed using the Second Look CAD (CADx Medical Systems, Quebec, Canada). Cases were selected randomly using the clinic's internal tumour case sampler. Correct marking of the malignant lesion in at least one view was scored as a true positive. Marks not at the location of the malignant lesion were scored as false positives. In addition, mammograms with histologically proven benign masses ( n=50) and microcalcifications ( n=50), as well as 100 non-suspicious mammograms, were scanned in order to determine the value of false-positive marks per image. The 150 mammograms included 94 lesions that were suspicious due to masses, 26 due to microcalcifications and 30 showed both signs of malignancy. The overall sensitivity was 90.0% (135 of 150). Sensitivity on subsets of the data was 88.7% (110 of 124) for suspicious masses (MA) and 98.2% (55 of 56) for microcalcifications. Eight of 14 false-negative cases were large lesions. The overall false-positive rate was observed as 0.28 and 0.97 marks per image of microcalcifications and masses, respectively. The lowest false-positive rates for microcalcifications and MA were observed in the cancer subgroup, whereas the highest false-positive rates were scored in the benign but mammographically suspicious subgroups, respectively. The new CAD system shows a high tumour detection rate, with approximately 1.3 false positive marks per image. These results suggest that this system might be clinically useful as a second reader of mammograms. The system performance was particularly useful for detecting microcalcifications.     

Sonographically guided biopsy of suspicious microcalcifications of the breast: a pilot study

OBJECTIVE: The purpose of this study is to evaluate the use of sonographic guidance for biopsy of mammographically detected suspicious microcalcifications. SUBJECTS AND METHODS: Twenty-three patients with suspicious microcalcifications detected on mammography (15 associated with masses or distortion; eight with microcalcifications alone) underwent sonographically guided core biopsy (n = 18) or sonographically guided needle localization before excision (n = 5). Microcalcifications were targeted, and specimen radiographs were obtained for each lesion, with the success of the procedure based on identifying microcalcifications on the specimen radiograph. For core biopsies, the number of cores obtained was compared with that in 49 control patients who underwent sonographically guided core biopsy of noncalcified masses. RESULTS: All 23 lesions (100%) were successfully biopsied under sonographic guidance, with microcalcifications seen on specimen radiographs in each case. Of 18 core biopsies, a mean of 8.7 cores was obtained compared with a mean of 5.5 cores in the control group (p<0.0001). Of 13 lesions sampled with core biopsy that subsequently underwent surgical excision, three (23%) were upgraded from atypical ductal hyperplasia to ductal carcinoma in situ (n = 1) and from ductal carcinoma in situ to invasive carcinoma (n = 2). Mammographically, most lesions contained more than 15 pleomorphic microcalcifications. On sonography, echogenic foci corresponded to microcalcifications in all but two cases in which broader echogenic regions were seen. When no mass or distortion was visible on mammography, sonography showed a mass or dilated ducts with internal echogenic foci. CONCLUSION: Microcalcifications identifiable on sonography can be successfully biopsied under sonographic guidance. Further study is necessary to determine whether targeting microcalcifications seen sonographically in the mass or duct can improve the rate of underestimation of disease compared with stereotactic core biopsy.     

Impact of breast density on computer-aided detection for breast cancer

OBJECTIVE: Our aim was to determine whether breast density affects the performance of a computer-aided detection (CAD) system for the detection of breast cancer. MATERIALS AND METHODS: Nine hundred six sequential mammographically detected breast cancers and 147 normal screening mammograms from 18 facilities were classified by mammographic density. BI-RADS 1 and 2 density cases were classified as nondense breasts; BI-RADS 3 and 4 density cases were classified as dense breasts. Cancers were classified as either masses or microcalcifications. All mammograms from the cancer and normal cases were evaluated by the CAD system. The sensitivity and false-positive rates from CAD in dense and nondense breasts were evaluated and compared. RESULTS: Overall, 809 (89%) of 906 cancer cases were detected by CAD; 455/505 (90%) cancers in nondense breasts and 354/401 (88%) cancers in dense breasts were detected. CAD sensitivity was not affected by breast density (p=0.38). Across both breast density categories, 280/296 (95%) microcalcification cases and 529/610 (87%) mass cases were detected. One hundred fourteen (93%) of the 122 microcalcifications in nondense breasts and 166 (95%) of 174 microcalcifications in dense breasts were detected, showing that CAD sensitivity to microcalcifications is not dependent on breast density (p=0.46). Three hundred forty-one (89%) of 383 masses in nondense breasts, and 188 (83%) of 227 masses in dense breasts were detected-that is, CAD sensitivity to masses is affected by breast density (p=0.03). There were more false-positive marks on dense versus nondense mammograms (p=0.04). CONCLUSION: Breast density does not impact overall CAD detection of breast cancer. There is no statistically significant difference in breast cancer detection in dense and nondense breasts. However, the detection of breast cancer manifesting as masses is impacted by breast density. The false-positive rate is lower in nondense versus dense breasts. CAD may be particularly advantageous in patients with dense breasts, in which mammography is most challenging.     

Stereotactic 11-gauge vacuum-assisted breast biopsy: influence of number of specimens on diagnostic accuracy

PURPOSE: To determine whether number of specimens obtained at stereotactic 11-gauge vacuum-assisted breast biopsy with the patient prone influences diagnostic accuracy and to determine whether this number varies depending on mammographic appearance of lesions as masses or microcalcifications. MATERIALS AND METHODS: Biopsy was prospectively performed in 100 patients (median age, 55 years; range, 31-81 years) with 100 lesions that were mammographically evident as masses (n = 50) and microcalcifications (n = 50) with standardized protocol to acquire 20 specimens per lesion in three 360 degrees probe rotations at one skin entry site. Specimens were histologically evaluated sequentially, and findings were compared with results of surgical excision or of mammographic follow-up for at least 24 months. Differences in diagnostic yield after each probe rotation and differences in diagnostic yield between masses and microcalcifications were determined with chi(2) test. RESULTS: Up to 12 specimens harvested within two 360 degrees probe rotations were necessary to yield correct diagnosis in 96% of patients with masses and 92% of patients with microcalcifications. Diagnostic yield was not improved with more than 12 specimens for masses or microcalcifications. In two (4%) of 47 patients with lesions that were eventually diagnosed as cancer, results at stereotactic biopsy indicated they were benign. Underestimation of diagnosis of lesions as atypical ductal hyperplasia and ductal carcinoma in situ occurred in two (50%) of four and two (17%) of 12 lesions, respectively. With 20 specimens harvested during three probe rotations, there was no statistically significant difference in diagnostic yield between patients with masses and those with microcalcifications (P =.68). CONCLUSION: At 11-gauge vacuum-assisted biopsy, highest diagnostic yield was achieved with 12 specimens per lesion, independent of mammographic appearance of the lesion. Even with standardized retrieval of 20 specimens per lesion, underestimation of disease still occurs.     

微钙化对早期乳腺导管原位癌的诊断价值

 目的 探讨微钙化在乳腺X线摄影筛查中对乳腺导管原位癌(ductal carcinoma in situ,DCIS)的诊断价值.方法 回顾性分析经乳腺X线摄影筛查及组织病理、免疫组化证实存在微小钙化灶的DCIS 58例.参照美国放射学会(ACR)颁布的乳腺病变BI - RADS有关钙化形态和分布的征象描述,记录钙化灶的形态、分布数据.全部病例均对照病理结果.采用Fisher确切概率法检验,探讨钙化形态和导管原位癌分级之间的相关性.结果 微钙化按外观与形态分成3类:(1)线形分支状钙化46例(79％);(2)成簇泥沙样钙化5例(8％);(3)微钙化伴粗大钙化7例(12％).所有58例DCIS患者中,低级别(1级)DCIS 14例(24％),中级别(2级)DCIS 35例(60％),高级别(3级)DCIS 9例(16％).不同级别原位癌的X线摄影钙化方式存在统计学差异(P＜0.01);原位癌分级与病灶内微钙化方式存在一定关联度(r=0.559,P＜0.01).结论 微钙化有助于DCIS的早期检出,其形态外观有助于判别其病理分级,正确认识乳腺X线摄影钙化可提高DCIS的诊断准确性.     

Comparison of breast cancer detection by diffusion-weighted magnetic resonance imaging and mammography

PURPOSE: Breast cancer-detecting ability of diffusion-weighted magnetic resonance imaging (DW-MRI) was investigated by comparing the breast cancer detection rates of DW-MRI and mammography (MMG). MATERIALS AND METHODS: The subjects were 48 women who had breast cancer (53 cancer lesions) who underwent DW-MRI before surgery. Altogether, 41 lesions were invasive ductal carcinoma (IDC), 7 were noninvasive ductal carcinoma (NIDC) and 5 were "others." RESULTS: The breast cancer detection rates by MMG and DW-MRI were 84.9% and 94.3% (P < 0.001), respectively. In each classification of histology and size, the detection rate by DW-MRI was higher than that by MMG. In relation to the mammary gland density, the detection rates of fatty, scattered, heterogeneously dense, and extremely dense mammary glands were 100%, 100%, 92.0%, and 83.3%, respectively. The mean apparent diffusion coefficient values of the histologic types were 1.07 +/- 0.17 x 10(-3), 1.50 +/- 0.24 x 10(-3), 1.12 +/- 0.25 x 10(-3), and 2.01 +/- 0.29 x 10(-3) mm(2)/s for IDC, NIDC, others, and normal breast, respectively, showing that the values of IDC and NIDC were significantly different from that of the normal breast (P < 0.001 each). A significant difference was also noted between IDC and NIDC (P < 0.001). CONCLUSION: DW-MRI may be useful for detecting breast cancer in a wide age group of women, including young women with dense mammary glands.     

Malignant lesions on mammography: accuracy of two different computer-aided detection systems

We retrospectively compared the accuracy of two computer-aided detection (CAD) systems for the detection of malignant breast lesions on full-field digital mammograms. Mammograms of 326 patients were analyzed (117 patients with breast cancer, 209 negative cases), and each set of cases was read by two CAD systems (Second Look versus AccuDetect Galileo). True-positive fractions per image and case for soft densities, microcalcifications, and total cancers were assessed. Study results showed better overall performance of AccuDetect Galileo (when compared to Second Look) in detecting masses, microcalcifications, and all cancer types, especially in extremely dense breast parenchyma.     

Computer-aided detection in digital mammography: comparison of craniocaudal, mediolateral oblique, and mediolateral views

PURPOSE: To retrospectively compare the sensitivity of a computer-aided detection (CAD) system for depicting breast cancer in three digital mammographic views. MATERIALS AND METHODS: This study was conducted with institutional review board approval; informed consent was waived. A commercially available CAD system was applied to the craniocaudal, mediolateral oblique, and mediolateral digital mammographic views of 83 women (mean age, 48 years; range, 30-66 years) with 83 histologically proved breast cancers. Findings were 59 masses and 41 microcalcifications (17 lesions showed both findings; 42 lesions, mass only; and 24 lesions, microcalcification only). The paired t test was used to analyze sensitivity of the CAD system for the detection of cancer in these three mammographic views and in combinations of the views. RESULTS: The sensitivities of the CAD system were 92% (76 of 83) in the craniocaudal view, 83% (69 of 83) in the mediolateral oblique view, and 86% (71 of 83) in the mediolateral view; the differences were not significant (P = .07-.62). Sensitivity increased to 96% (80 of 83) in the craniocaudal plus mediolateral oblique views and to 99% (82 of 83) in the craniocaudal plus mediolateral oblique plus mediolateral views. For masses, the sensitivity of the CAD system was 76% (45 of 59) in the craniocaudal view and 75% (44 of 59) in the mediolateral oblique view and increased to 93% (55 of 59) when mediolateral oblique and craniocaudal views were combined (P < .001). For microcalcifications, sensitivity was 98% (40 of 41) in the craniocaudal view and 95% (39 of 41) in the mediolateral oblique view, and this increased to 100% (41 of 41) when the mediolateral oblique and craniocaudal views were combined (P = .31). CONCLUSION: The sensitivities of the CAD system were not significantly different among these three digital mammographic views. Sensitivity for depicting masses was significantly increased (P < .001) when the craniocaudal view was added to the mediolateral oblique view.     

Stereotactic vacuum-assisted breast biopsy in 268 nonpalpable lesions

PURPOSE: We evaluated the reliability of stereotactic vacuum-assisted breast biopsies (VAB) from our personal experience. MATERIALS AND METHODS: Between January 2003 and December 2005, 268 patients underwent VAB with an 11-gauge probe at our institution. Inclusion criteria were nonpalpable lesions, undetectable by ultrasound and suspected at mammography (microcalcifications, circumscribed mass, architectural distortion), for which cytology and/or core biopsy could not provide a definite diagnosis. Lesion mammographic patterns were microcalcifications in 186 cases (77.5%), mostly localised clusters (130/186: 70%); circumscribed mass with or without microcalcifications in 36 cases (15%) and architectural distortion with or without microcalcifications in 18 cases (7.5%). On the basis of the Breast Imaging Reporting and Data System (BI-RADS) classification, 16 cases (7%) were graded as highly suspicious for malignancy (BI-RADS 5), 81 (34%) as suspicious for malignancy (BI-RADS 4b), 97 (40%) as indeterminate (BI-RADS 4a) and 46 (19%) as probably benign (BI-RADS 3). Lesion size was 20 mm in only 38 cases (16%), 30 of which appeared as microcalcifications. RESULTS: In 28/268 lesions (10.5%) the biopsy could not be performed (nonidentification of the lesion; inaccessibility due to location or breast size). In 12/240 (5%) biopsies, the sample was not representative. Pathology revealed 100/240 (42%) malignant or borderline lesions and 140/240 (58%) benign lesions. Among the malignant lesions, 16/100 (16%) were invasive carcinoma [infiltrating ductal carcinoma (IDC) or infiltrating lobular carcinoma (ILC)], 13/100 (13%) were microinvasive (T1mic), 35/100 (35%) were ductal carcinoma in situ (DCIS), 9/100 (9%) were lobular carcinoma in situ (CLIS). Among the borderline lesions, 27/100 (27%) were atypical epithelial hyperplasia [atypical ductal hyperplasia (ADH) or atypical lobular hyperplasia (ALH)]. In 9/100 surgically treated lesions (9%), there was discordance between the microhistological findings of VAB and the pathological results of the surgical procedure: 8/9 were underestimated by VAB (four ADH vs. DCIS, three DCIS vs. IDC, one ADH vs. IDC), and 1/9 was overestimated (T1mic vs. DCIS). Complications following VAB occurred in 9/240 patients (3.7%). CONCLUSIONS: In our experience, VAB showed fair reliability in the diagnosis of nonpalpable breast lesions despite a portion of failed (10.5%), nonsignificant (5%) procedures and underestimated lesions (9%).     

Add-on device for stereotactic core-needle breast biopsy: how many biopsy specimens are needed for a reliable diagnosis?

PURPOSE: To prospectively determine whether there is a minimum number of cores required for histopathologic diagnosis of mammographically detected nonpalpable breast lesions with an add-on 14-gauge stereotactic core-needle biopsy device. MATERIALS AND METHODS: The study was approved by the ethics committee of the hospital; informed consent was obtained. Biopsy was performed in 197 patients with 205 lesions (97 masses, 108 microcalcifications). The first sample (from the center) was collected in container A; second and third samples (2 mm from center), in container B; and additional samples, in container C. Malignancies, atypical ductal hyperplasia (ADH), and radial scars were excised. Benign lesions were followed up mammographically (mean, 24 months). Strict sensitivity and working sensitivity were calculated separately. Stereotactic biopsy with diagnosis of a nonmalignant lesion that, after surgery, proved to be malignant was considered false-negative when strict sensitivity was calculated. Stereotactic biopsy with diagnosis of ADH or radial scar was considered true-positive if the findings at surgery corresponded to the results at biopsy or indicated malignancy and was considered false-positive if the findings at surgery were benign when working sensitivity was calculated. Sensitivity, specificity, and overall accuracy of stereotactic biopsy were determined for masses and microcalcifications in all three containers by using surgical samples and findings at mammographic follow-up as reference. At chi2 analysis, P < .05 was considered to indicate significant difference. RESULTS: Strict sensitivity of the first sample was 77% (66 of 86) (90% [35 of 39] for masses, 66% [31 of 47] for microcalcifications). Results of the first sample were false-negative significantly more often in microcalcifications (n = 16) than in masses (n = 4) (P = .010). Combined results of containers A and B (ie, three samples) yielded higher strict sensitivity than those with first sample alone (95% [37 of 39] for masses [P = .196], 91% [43 of 47] for microcalcifications [P < .001]). With multiple samples, strict and working sensitivity were both 100% (39 of 39) for masses and 91% (43 of 47) and 98% (46 of 47), respectively, for microcalcifications. Four false-negative diagnoses (ADH, three cases; lesion with discordant mammographic and stereotactic biopsy findings, one case) were microcalcifications. CONCLUSION: More than three samples are needed (a minimum number was not determined) for a histologic diagnosis of a mass lesion by using an add-on stereotactic biopsy device.     

Invasive lobular carcinoma of the breast: mammographic characteristics and computer-aided detection

PURPOSE: To characterize the mammographic appearance of invasive lobular carcinoma in a large series of screening-detected consecutive breast cancers and to evaluate the ability of a computer-aided detection system to mark these carcinomas. MATERIALS AND METHODS: Investigators used the Breast Imaging Reporting and Data System lexicon to characterize lesions as part of a retrospective review of 90 screening mammographic examinations that led to biopsy-proved diagnosis of 94 invasive lobular carcinoma lesions. The 40 available prior mammographic examinations (obtained 9-24 months earlier) were also reviewed to characterize any visible findings. The results of a computer-aided detection analysis were compared with the images, and the sensitivity of the algorithm was calculated for correct detection of the lesions. RESULTS: Fifty-six (60%) of 94 lesions manifested as masses, of which 40 (71%) were described as irregular and spiculated; 20 (21%) of 94, as architectural distortions; and the remainder, 18 (20%), as either asymmetric densities or calcifications. On the screening mammograms showing biopsy-proved cancers, the sensitivity of the computer-aided detection system was 86 (91%) of 94 lesions. Thirty-one of the 40 prior mammograms showed retrospectively visible findings, and 24 (77%) of 31 were marked by the computer-aided detection system. CONCLUSION: Spiculated masses and architectural distortions are the predominant appearances of invasive lobular carcinoma, and a computer-aided detection system correctly marked a high percentage of invasive lobular carcinoma lesions.     

Carcinoma within fibroadenomas: mammographic features

The mammographic features of carcinoma originating within a fibroadenoma in 24 patients were studied by means of retrospective review of pathologic slides. Histologic examination showed that the lesions were lobular carcinoma in situ (LCIS) (seven patients), ductal carcinoma in situ (DCIS) (13 patients), synchronous LCIS and invasive lobular carcinoma (one patient), and synchronous LCIS and DCIS (three patients). In all patients the mammographic manifestation was a mass 1.0 cm or greater in diameter; 14 masses were 1-2 cm in diameter, and the remainder were more than 2 cm in diameter. Features that were considered suspect included large size, indistinct margins, and clustered microcalcifications. In three patients, microcalcifications within the mass raised suspicion of malignancy. At histologic examination these microcalcifications were associated with the intraductal carcinoma harbored in the fibroadenoma in only one of these patients. Fibroadenomas that harbor carcinoma may be indistinguishable from common benign fibroadenomas, but their occurrence is rare. In this study, a single patient had invasive lobular carcinoma; all the other lesions were in situ lesions.     

Sonographic detection and sonographically guided biopsy of breast microcalcifications

OBJECTIVE: The purpose of this study was to evaluate the ability of sonography to depict and guide biopsies of mammographically suspicious microcalcifications and to reveal the mammographic features and histologic outcomes of lesions amenable to sonographically guided biopsy. SUBJECTS AND METHODS:. Suspicious clusters of microcalcifications without other mammographic abnormalities were evaluated on sonography before biopsy and divided into two groups: those with and those without microcalcifications seen on sonography. Sonographically detected lesions underwent sonographically guided biopsy; lesions not seen on sonography underwent mammographically guided biopsy. Imaging features and histologies were correlated, and the positive predictive value of sonography was determined. RESULTS: Of 111 lesions (105 patients), 26 lesions (23%) were identified and underwent sonographically guided biopsy; 85 lesions (77%) were not identified sonographically. The diameters of microcalcification clusters in the sonographically identified group were significantly larger (p = 0.0005) and contained larger numbers of microcalcification particles (p = 0.038) compared with clusters not identified sonographically. Sonographically identified lesions were seen as masses (77%) or dilated ducts (23%) with echogenic foci. Sonographically identified lesions were more likely to be malignant than those not seen on sonography (69% vs 21%, respectively; p < 0.00002). Of 38 malignant lesions, those visible on sonography were more likely to be invasive than those not seen on sonography (72% vs 28%, respectively; p = 0.018). In malignant lesions undergoing core biopsy and surgical excision, the extent of disease was underestimated less with sonographically guided biopsy (7%, 1/15) than with stereotactic biopsy (33%, 5/15). CONCLUSION: Suspicious microcalcifications are seen infrequently on sonography (23%) but, when detected, can be successfully biopsied with sonographic guidance and more frequently are malignant and represent invasive cancer than those seen on mammography alone.     

3-T breast magnetic resonance imaging in patients with suspicious microcalcifications on mammography

Objective

To investigate the diagnostic value of 3-Tesla (T) breast MRI in patients presenting with microcalcifications on mammography.

Methods

Between January 2006 and May 2009, 123 patients with mammographically detected BI-RADS 3–5 microcalcifications underwent 3-T breast MRI before undergoing breast biopsy. All MRIs of the histopathologically confirmed index lesions were reviewed by two breast radiologists. The detection rate of invasive carcinoma and ductal carcinoma in situ (DCIS) was evaluated, as well as the added diagnostic value of MRI over mammography and breast ultrasound.

Results

At pathology, 40/123 (33 %) lesions proved malignant; 28 (70 %) DCIS and 12 (30 %) invasive carcinoma. Both observers detected all invasive malignancies at MRI, as well as 79 % (observer 1) and 86 % (observer 2) of in situ lesions. MRI in addition to conventional imaging led to a significant increase in area under the receiver operating characteristic (ROC) curve from 0.67 (95 % CI 0.56–0.79) to 0.79 (95 % CI 0.70–0.88, observer 1) and to 0.80 (95 % CI 0.71–0.89, observer 2), respectively.

Conclusions

3-T breast MRI was shown to add significant value to conventional imaging in patients presenting with suspicious microcalcifications on mammography.

Key points

? 3-T MRI is increasingly used for breast imaging in clinical practice. ? On 3-T breast MRI up to 86 % of DCIS lesions are detected. ? 3-T MRI increases the diagnostic value in patients with mammographically detected microcalcifications.