动态增强MRI检查分级评估良恶性乳腺团块型病灶的价值

目的 探讨鉴别乳腺良恶性病灶的客观评分方法,为乳腺团块型病灶的良恶性判断提供客观评价依据.方法 将第4版乳腺影像和报告系统(BI-RADS)的MR部分对团块型病灶的描述作为病灶评价指标对188个高血供团块型病灶评分,根据评分结果与病理结果进行ROC曲线分析,计算曲线下面积并计算最佳良恶性诊断阈值;根据最佳诊断阈值及病灶良恶性倾向将病灶归入Ⅰ～Ⅴ级(Ⅰ级阴性、Ⅱ级良性、Ⅲ级可能良性、Ⅳ级可疑恶性、Ⅴ级高度提示恶性),最后检测评分方法诊断恶性团块型病灶的敏感度和特异度.结果 病理证实188个高血供病灶中有91个恶性,97个良性.ROC曲线下面积为0.938±0.016,评分法鉴别病灶良恶性的最佳阈值为5分.病灶分级结果为Ⅱ级24例、Ⅲ级72例、Ⅳ级54例、Ⅴ级38例.评分法诊断恶性乳腺团块型病灶的敏感度为87.91％,特异度为87.62％.除去Ⅲ级中3例假阴性的导管原位癌,特异度提高到90.90％.结论 建立在多参数标准化分析基础上的评分方法有助于客观判读乳腺动态增强MR影像.     

MRI before reexcision surgery in patients with breast cancer

OBJECTIVE: The aims of this study were to assess the diagnostic accuracy of MRI in evaluating patients for residual cancer, identify the prevalence of multicentric or multifocal disease, and evaluate the impact of MRI on surgical treatment planning. SUBJECTS AND METHODS. Of 101 potentially eligible patients, 80 candidates for breast conservation therapy who had primary breast cancer in 82 breasts diagnosed by excisional biopsy with close or positive margins were included in the study group. All patients underwent contrast-enhanced MRI before further surgery and subsequently underwent either reexcision lumpectomy or mastectomy with histopathologic correlation. RESULTS: Residual carcinoma, either invasive or in situ, was present in 59.8% of the breasts. The sensitivity and specificity of MRI for detecting residual disease were 61.2% and 69.7%, respectively. Twenty-three additional lesions distant from the biopsy site were identified in 19 breasts, and 18 suspicious lesions underwent biopsy. Histology results indicated that six lesions were malignant, so the overall prevalence was 7.3%. The positive predictive value of identifying an additional suspicious lesion was 33.3%. In 24 breasts, MRI changed which procedure would be performed next from reexcision lumpectomy to mastectomy (n = 9), biopsy of an additional lesion in the ipsilateral (n = 12) or contralateral (n = 2) breast, or neoadjuvant chemotherapy (n = 1). Approximately 25% of the breasts underwent mastectomy as definitive surgical treatment. CONCLUSION: Overlap in the appearances of benign and malignant lesions limits MRI evaluation for residual disease. MRI can show additional suspicious lesions that are likely to be multicentric or multifocal disease. These findings changed the original treatment plan for approximately 30% of breasts.     

Pharmacokinetic Analysis of Gd-DTPA Enhancement in dynamic three-dimensional MRI of breast lesions

The purpose of this study was to demonstrate that dynamic MRI covering both breasts can provide sensitivity for tumor detection as well as specificity and sensitivity for differentiation of tumor malignancy. Three-dimensional gradient echo scans were used covering both breasts. Before Gd-DTPA bolus injection, two scans were obtained with different flip angles, and after injection, a dynamic series followed. Thirty-two patients were scanned according to this protocol. From these scans, in addition to enhancement, the value of T1 before injection was obtained. This was used to estimate the concentration of Gd-DTPA as well as the pharmacokinetic parameters governing its time course. Signal enhancement in three-dimensional dynamic scanning was shown to be a sensitive basis for detection of tumors. In our series, all but two mam-mographically suspicious lesions did enhance, and in three cases, additional enhancing lesions were found, two of which were in the contralateral breast. The parameter most suited for classification of breast lesions into benign or malignant was shown to be the pharmacokinetically defined permeability k₃₁, which, for that test, gave a sensitivity of 92% and a specificity of 70%. Our three-dimensional dynamic MRI data are sensitive for detection of mammographically occult breast tumors and specific for classification of these as benign or malignant.     

MR imaging in probably benign lesions (BI-RADS category 3) of the breast

PURPOSE: To investigate the role of dynamic magnetic resonance (MR) imaging in the evaluation of probably benign lesions (BI-RADS category 3) and its contribution to patient management. MATERIALS AND METHODS: Dynamic breast MR imaging was performed in 56 lesions assessed as probably benign in mammography of 43 patients. In MR imaging, T2-weighted turbo spin echo (TSE) with fat suppression sequence followed by pre- and post-contrast T1-weighted 3D-FLASH sequences were used. MR imaging findings were scored using 0-2 point criterion scale. The lesions were divided into five groups according to their total score (0 point: group 1, negative; 1-2 points: group 2, benign; 3 points: group 3, probably benign; 4-5 points: group 4, suspicious for malignancy; 6-8 points: group 5, highly suggestive of malignancy). Histopathologic verification of lesions in group 4 and above was obtained. Lesions in group 3 were either biopsied or followed up by mammography or MR imaging. Lesions in group 1-2 were followed by mammography of 6-month intervals for 2 years. The sensitivity, specificity, accuracy, and positive and negative predictive values of MR imaging in the determination of malignancy in BI-RADS category 3 lesions were calculated. RESULTS: Fifty-six findings (45 mass, 9 breast tissue, 2 focal enhancement) in 43 patients were detected in MR imaging. According to their total score, 41 lesions (73.2%) and breast tissue had 0 point (group 1); 10 lesions (17.8%) had 1-2 points (group 2); 2 lesions (3.6%) had 3 points (group 3); 2 lesions (3.6%) had 4 and 5 points (group 4); and 1 lesion (1.8%) had 6 points (group 5). Ten lesions (of six in groups 1 and 2, one in group 3, three in groups 4 and 5) were histopathologically confirmed. Out of 10 lesions, only 1 (1.8%) with 4 points in group 4 was diagnosed as invasive ductal carcinoma. Other lesions followed with mammography or MR imaging did not change. The sensitivity, specificity, accuracy, positive and negative predictive values of MR imaging in the determination of malignancy in BI-RADS category 3 lesions were calculated as 100, 96.4, 96.4, 33.3, and 100%, respectively. CONCLUSION: In the evaluation of BI-RADS category 3 lesions, dynamic MR imaging does not provide additional information with low positive predictive value similar to that of short interval mammography follow-up.     

Ultrasonography and core needle biopsy in the differential diagnosis of fibroadenoma and tumor phyllodes

BACKGROUND: The diagnosis of phyllodes tumors of the breast is challenging due to many similarities with common fibroadenomas. PURPOSE: To determine the diagnostic accuracy of core needle biopsy in diagnosing phyllodes tumors and to analyze the ultrasonographic (US) features of phyllodes tumors and fibroadenomas. MATERIAL AND METHODS: From 1999 to 2003, 1010 breast lesions underwent imaging-guided core needle biopsy. Of these, 57 fibroadenomas and 12 phyllodes tumors were removed surgically. The US and needle biopsy results of a total of 64 lesions (52 fibroadenomas and 12 phyllodes tumors) were further analyzed, compared, and correlated with surgical histological results. RESULTS: The median sonographic sizes of the phyllodes tumors and the fibroadenomas were 3.2 cm and 1.6 cm, respectively. At US, 58% of the phyllodes tumors (7/12) were classified as equivocal or suspicious of malignancy and 42% (5/12) as probably benign, while 54% of the fibroadenomas (28/52) were classified as probably benign and 46% (24/52) as equivocal. The sensitivity, specificity, and positive and negative predictive values of core needle biopsy histology regarding tumor phyllodes were 83%, 92%, 71%, and 96%, respectively. CONCLUSION: Imaging-guided core needle biopsy was accurate in differentiating between fibroadenomas and phyllodes tumors. US classification was unreliable due to considerable overlap in the findings. Combined use of US feature analysis and needle biopsy may help to avoid the misinterpretation of phyllodes as fibroadenoma.     

Contrast-enhanced color Doppler ultrasound characteristics in hypervascular breast tumors: comparison with MRI

The aim of this study was to evaluate the accuracy of contrast-enhanced color Doppler ultrasound (CE-US) in comparison with contrast-enhanced MR imaging (CE-MRI) in the discrimination of hypervascularized breast tumors. An additional CE-US of the breast was preoperatively performed in 40 patients with a hypervascular breast lesion detected on CE-MRI. The presence of blood flow signals and the morphological characteristics of the vessels in the breast lesions were evaluated pre- and post-contrast administration, as well as the dynamic aspects of the Doppler signal, including time interval to maximum signal enhancement and persistence of the signal enhancement. Twenty-three carcinomas and 17 fibroadenomas were explored. Considering initial signal enhancement > 100 % after the administration of contrast material as a criterion suggesting malignancy, CE-MRI showed a sensitivity of 100 % and a specificity of 76.5 % in the detection of malignant breast tumors. Color Doppler signals were consistently demonstrated in all carcinomas and in 68.7 % of fibroadenomas after the administration of Levovist, with CE-US showing a sensitivity of 95.6 % and a specificity of 5.9 %. Neither the mean number of vessels per tumor, nor the location of vessels, the time to maximum increase of the Doppler signal or the persistence of signal enhancement showed significant differences between benign and malignant lesions. Additional CE-US does not increase the low specificity of MRI in patients with hypervascularized breast tumors. Received: 17 July 2000 Revised: 22 August 2000 Accepted: 24 August 2000     

Multi-section magnetic susceptibility perfusion echo-planar imaging of the breast

PURPOSE: To examine the diagnostic value of multi-section magnetic susceptibility perfusion echo-planar imaging (perfusion EPI) in patients with breast tumors prior to T1-weighted dynamic MRI. MATERIALS AND METHODS: MR imaging was performed in 75 patients with pathologically proved breast tumors using a 1.5 Tesla MR unit (MAGNETOM Symphony, Siemens Medical Solutions, Erlangen, Germany). Perfusion EPI was carried out before, during, and after the bolus injection of 0.1 mmol Gd-DTPA/kg. Two patients had two carcinomas in the same breast, one patient had both a benign and a malignant lesion in the same breast, and two patients had lesions in both breasts. Histopathological diagnosis was non-invasive ductal carcinoma in 9, invasive carcinoma in 49, and benign lesion in 22. The first-pass signal intensity loss of the lesions was calculated by perfusion EPI. RESULTS: Fifty-one of 58 carcinomas but only 4 of 22 benign lesions had a signal intensity loss of 20% or more during the first pass, for a sensitivity of 88% and specificity of 82% CONCLUSION: Perfusion EPI can be used as a useful diagnostic tool for differentiation between benign and malignant lesions. It is also thought to be a promising method for diagnosing multifocal breast lesions.     

Adjunctive diagnostic value of MRI in the breast radial scar

Purpose

We sought to identify breast magnetic resonance imaging (MRI) criteria capable of influencing the differential diagnosis between radial scars related to benign proliferative disease and those associated with breast cancer with a view to proposing breast MRI as a promising and cost-effective modality to be carried out between mammography and surgical biopsy.

Materials and methods

From 1998 to June 2006, we studied 20 patients with a focal architectural distortion on mammography. All patients underwent contrast-enhanced breast MRI with a T1 Philips Gyroscan scanner and the acquisition of T1-weighted fast field echo, echo planar imaging (FFE EPI) axial dynamic sequences with a slice thickness of 3 mm. During postprocessing, subtracted images were assessed for morphological features, pattern of contrast enhancement, time-intensity curve and lesion enhancement rate.

Results

Breast MRI depicted 27 lesions between 7 mm and 30 mm in size. Fifteen of the 27 breast lesions showed benign features, eight showed malignant features and four were classified as suspicious. Pathological examination confirmed the benignity of all 15 lesions showing benign MRI features and revealed the benign nature of the four lesions classified as suspicious.

Conclusions

Evaluation of breast MRI showed that enhancement rate and time-intensity curve were useful only in the differential diagnosis between benign and malignant breast lesions. Our experience confirmed that breast MRI has very high sensitivity and, in particular, a negative predictive value of 100%. Breast MRI could thus be considered a useful diagnostic tool that can guide the choice between follow-up or surgical excision of radial scars.     

High 18F-Fluorothymidine Uptake for Invasive Thymoma

ABSTRACT: We report an invasive thymoma discovered incidentally by an F-FLT (fluorothymidine) PET study on a 48-year-old woman. The patient had equivocal breast lesions in her bilateral breasts. She entered a clinical F-FLT PET trial in our hospital to differentiate malignant breast tumors from benign ones. No F FLT-avid lesions in her breasts were revealed. But an intense F-FLT uptake lesion was noted in her right anterior mediastinum. However, an F-FDG PET scan showed only mild F-FDG uptake in the lesion. Video-assisted thoracic surgery thymectomy was subsequently performed, and the final pathology showed invasive thymoma.     

Computerized detection and classification of cancer on breast ultrasound

RATIONALE AND OBJECTIVES: To develop and evaluate a two-stage computerized method that first detects suspicious regions on ultrasound images, and subsequently distinguishes among different lesion types. MATERIALS AND METHODS: The first stage of detecting potential lesions was based on expected lesion shape and margin characteristics. After the detection stage, all candidate lesions were classified by a Bayesian neural net based on computer-extracted lesion features. Two separate tasks were performed and evaluated at the classification stage: the first classification task was the distinction between all actual lesions and false-positive detections; the second classification task was the distinction between actual cancer and all other detected lesion candidates (including false-positive detections). The neural nets were trained on a database of 400 cases (757 images), consisting of complex cysts and benign and malignant lesions, and tested on an independent database of 458 cases (1,740 images including 578 normal images). RESULTS: In the distinction between all actual lesions and false-positive detections, Az values of 0.94 and 0.91 were obtained with the training and testing data sets, respectively. Sensitivity by patient of 90% at 0.45 false-positive detections per image was achieved for this detection-plus-classification scheme for the testing data set. Distinguishing cancer from all other detections (false-positives plus all benign lesions) proved to be more challenging, and Az values of 0.87 and 0.81 were obtained during training and testing, respectively. Sensitivity by patient of 100% at 0.43 false-positive malignancies per image was achieved in the detection and classification of cancerous lesions for the testing dataset. CONCLUSION: The results show promising performance of the computerized lesion detection and classification method, and indicate the potential of such a system for clinical breast ultrasound.     

Dynamic high-spatial-resolution MR imaging of suspicious breast lesions: diagnostic criteria and interobserver variability

OBJECTIVE: Our study was undertaken to develop diagnostic rules and to assess the reproducibility of dynamic and morphologic parameters for the characterization of suspicious breast lesions using dynamic high-spatial-resolution MR imaging. MATERIALS AND METHODS: Fifty-seven patients with suspicious mammographic or palpable findings underwent preoperative contrast-enhanced MR imaging of the breast using a three-time-point method of acquisition. Each lesion was prospectively analyzed by two independent radiologists for morphologic and visual dynamic enhancement characteristics. A classification and regression tree was used to examine the optimal order, cutoff points, and combination of imaging parameters to build a diagnostic rule separating benign from malignant lesions using histopathology findings as the standard of reference. Kappa statistics were used to determine observer variability. RESULTS: Among 23 benign and 34 malignant lesions (12 invasive, three ductal carcinoma in situ, and 19 mixed cancer), margin morphology (p = 0.001) and enhancement pattern (p = 0.001) were the most significant MR imaging findings for lesion characterization. Focal mass lesions were classified as malignant when spiculated margins or both the washout enhancement pattern and "nonsmooth" margins were present. Interobserver agreement was almost perfect for washout pattern and substantial for margin assessment. In the limited population tested retrospectively, the diagnostic rule yielded a sensitivity and positive predictive value of 97% each and a specificity and negative predictive value of 96% each. CONCLUSION: The washout enhancement pattern combined with lesion margin assessment on dynamic contrast-enhanced high-resolution MR imaging of the breast allows reproducible lesion characterization and may be a highly specific diagnostic tool.     

Incidental findings on sonography of the breast: clinical significance and diagnostic workup.

OBJECTIVE: The purpose of this study was to determine how often physician-performed high-resolution sonography can detect nonpalpable breast lesions not revealed by mammography. A sonographic classification scheme was tested for its accuracy in predicting malignancy of incidentally detected breast lesions. SUBJECTS AND METHODS: Six thousand one hundred thirteen asymptomatic women with breast density grades 2-4 and 687 patients with palpable or mammographically detected breast masses underwent sonography as an adjunct to mammography. All sonographically detected, clinically and mammographically occult breast lesions that were not simple cysts were prospectively classified into benign, indeterminate, or malignant categories. Diagnoses were confirmed by sonographically guided fine-needle aspiration or core needle biopsy. RESULTS: In 6113 asymptomatic women, 23 malignancies in 21 patients were detected with sonography only (prevalence, 0.31%). Five additional malignant lesions were found in patients with a malignant (n = 3) or a benign (n = 2) palpable or mammographically detected index lesion. The mean size of invasive malignancies detected only by sonography was 9.1 mm, which was not significantly different from the mean size of invasive cancers detected by mammography (p = .07). The sensitivity of the prospective sonographic classification for malignancy was 100%, and the specificity was 33.5%. CONCLUSION: The use of high-resolution sonography as an adjunct to mammography in women with dense breasts may lead to detection of a significant number of otherwise occult malignancies that are no different in size from nonpalpable mammographically detected lesions. Prospective classification of these lesions based on sonographic characteristics results in a significant reduction in number of unnecessary biopsies performed.     

Real-time tissue elastography combined with BIRADS-US classification system for improving breast lesion evaluation

Purpose

The purpose of this study was to establish the correlation of prospectively interpreted ultrasound elastography (USE) results with American College of Radiology Breast Imaging Reporting and Data System (BIRADS) assessment and pathologic diagnoses of sonographically visible breast masses and to determine whether USE can improve distinction of benign and malignant lesions.

Patients and methods

Between April 2012 and January 2014, sonoelastography of focal breast lesions was carried out in 410 patients with subsequent histological confirmation. We present data focusing on the sensitivity (SE), specificity (SP) and the positive (PPV) and negative predictive value (NPV) of sonoelastography. In addition we performed an analysis of the diagnostic performance, expressed by the pretest and posttest probability of disease (POD), in BI-RADS-US 3 or 4 lesions as these categories can imply both malignant and benign lesions and a more precise prediction would be a preferable aim.

Results

Sonoelastography demonstrated an improved SP (89.5%) and an excellent PPV (86.8%) compared to B-mode ultrasound (76.1% and 77.2%). Especially in dense breasts ACR III–IV, the SP was even higher (92.8%). In BI-RADS-US 3 lesions, a suspicious elastogram significantly modified the POD from 8.3% to a posttest POD of 45.5%. In BI-RADS-US 4 lesions, we found a pretest POD of 56.6%. The posttest POD changed significantly to 24.2% with a normal elastogram and to 81.5% with a suspicious elastogram.

Conclusions

Real-time tissue elastography may provide additional characterization of breast lesions, improving specificity, particularly for BIRADS 3 and BIRADS 4 lesions.     

Morphologic blooming in breast MRI as a characterization of margin for discriminating benign from malignant lesions

RATIONALE AND OBJECTIVES: Develop a fully automated, objective method for evaluating morphology on breast magnetic resonance (MR) images and evaluate effectiveness of the new morphologic method for detecting breast cancers. MATERIALS AND METHODS: We present a new automated method (morphologic blooming) for identifying and classifying breast lesions on MR that measures margin sharpness, a characteristic related to blooming, defined as rapid enhancement, with a border that is initially sharp but becomes unsharp after 7 minutes. Independent training sets (98 biopsy-proven lesions) and testing sets (179 breasts, 127 patients, acquired at five institutions) were used. Morphologic blooming was evaluated as a stand-alone feature and as an adjunct to kinetics using free-response receiver operating characteristic and sensitivity analysis. Dependence of false-positive (FP) rates on acquisition times and pathologies of contralateral breasts were evaluated. RESULTS: Sensitivity of morphologic blooming was 80% with 2.46 FP per noncancerous breast: FPs did not vary significantly by acquisition times. FPs varied significantly by pathologies of contralateral breasts (cancerous contralateral: 4.29 FP/breast; noncancerous contralateral: 0.48 FP/breast; P < .0001). Evaluation of 45 cancers showed suspicious morphologies on 10/15 (67%) cancers with benign-like kinetics and suspicious kinetics on 5/10 (50%) cancers with benign-like morphologies. CONCLUSION: We present a new, fully automated method of identifying and classifying margin sharpness of breast lesions on MR that can be used to direct radiologists' attention to lesions with suspicious morphologies. Morphologic blooming may have important utility for assisting radiologists in identifying cancers with benign-like kinetics and discriminating normal tissues that exhibit cancer-like enhancement curves and for improving the performance of computer-aided detection systems.     

A computerized global MR image feature analysis scheme to assist diagnosis of breast cancer: a preliminary assessment

Objectives

To develop a new computer-aided detection scheme to compute a global kinetic image feature from the dynamic contrast enhanced breast magnetic resonance imaging (DCE-MRI) and test the feasibility of using the computerized results for assisting classification between the DCE-MRI examinations associated with malignant and benign tumors.

Materials and Methods

The scheme registers sequential images acquired from each DCE-MRI examination, segments breast areas on all images, searches for a fraction of voxels that have higher contrast enhancement values and computes an average contrast enhancement value of selected voxels. Combination of the maximum contrast enhancement values computed from two post-contrast series in one of two breasts is applied to predict the likelihood of the examination being positive for breast cancer. The scheme performance was evaluated when applying to a retrospectively collected database including 80 malignant and 50 benign cases.

Results

In each of 91% of malignant cases and 66% of benign cases, the average contrast enhancement value computed from the top 0.43% of voxels is higher in the breast depicted suspicious lesions as compared to another negative (lesion-free) breast. In classifying between malignant and benign cases, using the computed image feature achieved an area under a receiver operating characteristic curve of 0.839 with 95% confidence interval of [0.762, 0.898].

Conclusions

We demonstrated that the global contrast enhancement feature of DCE-MRI can be relatively easily and robustly computed without accurate breast tumor detection and segmentation. This global feature provides supplementary information and a higher discriminatory power in assisting diagnosis of breast cancer.     

Three-phase dynamic breast magnetic resonance imaging with two-way subtraction

OBJECTIVE: This study was undertaken to introduce a new breast magnetic resonance (MR) imaging technique, 3-phase dynamic MR imaging with 2-way subtraction, and to examine the morphologic and kinetic features of malignant and benign breast lesions using this technique. METHODS: In 99 breasts from 89 consecutive women with suspicious breast lesions (age range: 32-72 years, mean = 48.2 years), MR imaging was performed using a fat-saturated, sagittal, gradient-echo sequence in 3 phases (1 precontrast and 2 postcontrast scans). Two-way subtraction was performed: standard subtraction (early postcontrast minus precontrast scans) and reverse subtraction (early postcontrast minus late postcontrast scans). A radiologist interpreted all the images, described the breast lesions (using the Breast Imaging Reporting and Data System MR lexicon), and assessed the lesions prospectively as being benign or malignant. The lesions with at least 1 malignant feature were classified as malignant. The MR classifications were compared with the biopsy or follow-up results. RESULTS: Sixty-five (65.7%) breast lesions were malignant, and 34 (34.3%) were benign. Forty-two (97.7%) of the 43 cases of microinvasive or invasive ductal cancer showed malignant morphologic features, and 38 (88.4%) showed washout kinetics. Eighteen (81.8%) of the 22 cases of ductal carcinoma in situ showed malignant morphologic features, and 11 (50.0%) showed washout kinetics. Twenty-nine (85.3%) of the 34 benign lesions showed neither malignant morphologic features nor washout kinetics. The sensitivity and specificity were 92.3% and 91.2% by morphologic analysis and 93.8% and 85.3% by the combined method (morphology plus kinetic analysis), respectively. CONCLUSIONS: This study demonstrated that 3-phase dynamic breast MR imaging with 2-way subtraction and a maximum intensity projection (MIP) image is a simple and useful technique for identifying breast lesions. Although the addition of the kinetic criteria enhanced the sensitivity at the cost of specificity, radiologists can diagnose a malignant lesion showing non-mass-like enhancement more confidently using reverse subtraction imaging. Therefore, this study proposes 3-phase dynamic imaging with 2-way subtraction and an MIP image as one of the standard protocols of breast MR imaging.     

Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging

PURPOSE: To evaluate the value of diffusion-weighted imaging (DWI) in distinguishing between benign and malignant breast lesions. MATERIALS AND METHODS: Fifty-two female subjects (mean age = 58 years, age range = 25-75 years) with histopathologically proven breast lesions underwent DWI of the breasts with a single-shot echo-planar imaging (EPI) sequence using large b values. The computed mean apparent diffusion coefficients (ADCs) of the breast lesions and cell density were then correlated. RESULTS: The ADCs varied substantially between benign breast lesions ((1.57 +/- 0.23) x 10(-3) mm(2)/second) and malignant breast lesions ((0.97 +/- 0.20) x 10(-3) mm(2)/second). In addition, the mean ADCs of the breast lesions correlated well with tumor cellularity (P < 0.01, r = -0.542). CONCLUSION: The ADC would be an effective parameter in distinguishing between malignant and benign breast lesions. Further, tumor cellularity has a significant influence on the ADCs obtained in both benign and malignant breast tumors.     

Interobserver reliability of automated breast volume scanner (ABVS) interpretation and agreement of ABVS findings with hand held breast ultrasound (HHUS), mammography and pathology results

Objectives

Handheld breast ultrasound (HHUS) lacks standardization and reproducibility. The automated breast volume scanner (ABVS) could overcome this limitation. To analyze the interobserver reliability of ABVS and the agreement with HHUS, mammography and pathology is the aim of this study.

Methods

All 42 study participants (=84 breasts) received an ABVS examination in addition to the conventional breast diagnostic work-up. 25 breasts (30%) showed at least one lesion. The scans were interpreted by six breast diagnostic specialists blinded to results of breast imaging and medical history. 32 lesions received histological work-up: 20 cancers were detected. We used kappa statistics to interpret agreement between examiners and diagnostic instruments.

Results

On the basis of the Breast Imaging Reporting and Data System (BI-RADS) classification of the 84 breasts an agreement (defined as ≥4 of 6 examiners) was achieved in 63 cases (75%) (mk = 0.35) and even improved when dichotomizing the interpretation in benign (BI-RADS 1, 2) and suspicious (BI-RADS 4, 5) to 98% (mk = 0.52). Agreement of ABVS examination to HHUS, mammography and pathology was fair to substantial depending on the specific analysis.

Conclusions

The development of an ABVS seems to be a promising diagnostic method with a good interobserver reliability, as well as a comparable good test criteria as HHUS.     

Magnetic resonance-guided biopsy of suspicious breast lesions with a handheld vacuum biopsy device

Purpose: To evaluate a handheld vacuum-assisted device system for magnetic resonance image (MRI)-guided breast lesion biopsy.

Material and Methods: In 32 patients, a total of 42 suspicious breast lesions (mean diameter 7.5 mm for mass lesions, 11.6 mm for non-masslike diffuse lesions) seen with MRI (no suspicious changes in breast ultrasound or mammography) were biopsied (27 lateral, 15 medial) using a 10G vacuum-assisted breast biopsy device under MR guidance. Histology of biopsy specimens was compared with final histology after surgery or follow-up in benign lesions.

Results: In all biopsies, technical success was achieved. Histology revealed 11 lesions with ductal carcinoma in situ (DCIS) or invasive cancer, three with intermediate lesions (LCIS) and 28 with benign breast lesions (adenosis, infected hematoma). In one patient with discordant results of MRI and histology, surgical excision revealed medullary cancer. In the follow-up (mean 18 months) of the histological benign lesions, no breast cancer development was observed. Besides minor complications (hematoma, n = 6), with no further therapeutic interventions, no complications occurred.

Conclusion: MRI-guided breast lesion biopsy using a handheld vacuum-assisted device is a safe and effective method for the work-up of suspicious lesions seen with breast MRI without changes in mammography or ultrasound. In the case of discordant histology of vacuum biopsy and breast MRI appearance, surgical excision is recommended.