OBJECTIVE: To retrospectively evaluate the features of undiagnosed breast cancers on prior screening breast magnetic resonance (MR) images in patients who were subsequently diagnosed with breast cancer, as well as the potential utility of MR-computer-aided evaluation (CAE). MATERIALS AND METHODS: Between March 2004 and May 2013, of the 72 consecutive pairs of prior negative MR images and subsequent MR images with diagnosed cancers (median interval, 32.8 months; range, 5.4-104.6 months), 36 (50%) had visible findings (mean size, 1.0 cm; range, 0.3-5.2 cm). The visible findings were divided into either actionable or underthreshold groups by the blinded review by 5 radiologists. MR imaging features, reasons for missed cancer, and MR-CAE features according to actionability were evaluated. RESULTS: Of the 36 visible findings on prior MR images, 33.3% (12 of 36) of the lesions were determined to be actionable and 66.7% (24 of 36) were underthreshold; 85.7% (6 of 7) of masses and 31.6% (6 of 19) of non-mass enhancements were classified as actionable lesions. Mimicking physiologic enhancements (27.8%, 10 of 36) and small lesion size (27.8%, 10 of 36) were the most common reasons for missed cancer. Actionable findings tended to show more washout or plateau kinetic patterns on MR-CAE than underthreshold findings, as the 100% of actionable findings and 46.7% of underthreshold findings showed washout or plateau (p = 0.008). CONCLUSION: MR-CAE has the potential for reducing the number of undiagnosed breast cancers on screening breast MR images, the majority of which are caused by mimicking physiologic enhancements or small lesion size.
Adult ; Aged ; Breast/*pathology ; Breast Neoplasms/*diagnosis/pathology/radiography ; Diagnosis, Computer-Assisted/*methods ; False Negative Reactions ; Female ; Humans ; Magnetic Resonance Imaging/*methods ; Mammography/*methods ; Middle Aged ; Retrospective Studies

PURPOSE: To show the results of an audit of screening breast ultrasound (US) in women with negative mammography in a single institution and to analyze US-detected cancers within a year and interval cancers. MATERIALS AND METHODS: During the year of 2006, 1974 women with negative mammography were screened with US in our screening center, and 1727 among them had pathologic results or any follow up breast examinations more than a year. We analyzed the distribution of Breast Imaging Reporting and Data System (BI-RADS) category and the performance outcome through follow up. RESULTS: Among 1727 women (age, 30-76 years, median 49.5 years), 1349 women (78.1%) showed dense breasts on mammography, 762 (44.1%) had previous breast US, and 25 women (1.4%) had a personal history of breast cancers. Test negatives were 94.2% (1.627/1727) [BI-RADS category 1 in 885 (51.2%), 2 in 742 (43.0%)]. The recall rate (=BI-RADS category 3, 4, 5) was 5.8%. Eight cancers were additionally detected with US (yield, 4.6 per 1000). The sensitivity, specificity, and positive predictive value (PPV1, PPV2) were 88.9%, 94.6%, 8.0%, and 28.0%, respectively. Eight of nine true positive cancers were stage I or in-situ cancers. One interval cancer was stage I cancer from BI-RADS category 2. CONCLUSION: Screening US detected 4.6 additional cancers among 1000. The recall rate was 5.8%, which is in lower bound of acceptable range of mammography (5-12%), according to American College of Radiology standard.
Adult ; Aged ; Breast/pathology ; Breast Neoplasms/*diagnosis/*radiography/*ultrasonography ; Female ; Humans ; Mammography/*methods ; Mass Screening/*methods ; Middle Aged ; Sensitivity and Specificity ; Ultrasonography/methods ; *Ultrasonography, Mammary

OBJECTIVE: To compare the diagnostic performance of digital breast tomosynthesis (DBT) and conventional breast ultrasound (US) to characterize breast lesions as benign or malignant. MATERIALS AND METHODS: A total of 332 women, presenting for screening examinations or for breast biopsy between March and June 2012 were recruited to undergo digital mammography (DM), DBT, and breast US examination. Among them, 113 patients with 119 breast lesions depicted on DM were finally included. Three blinded radiologists performed an enriched reader study and reviewed the DBT and US images. Each reader analyzed the lesions in random order, assigned Breast Imaging Reporting and Data System (BI-RADS) descriptors, rated the images for the likelihood of malignancy (%) and made a BI-RADS final assessment. Diagnostic accuracy, as assessed by the area under the receiver operating characteristic curve, sensitivity, and specificity of DBT and US were compared. RESULTS: Among the 119 breast lesions depicted on DM, 75 were malignant and the remaining 44 were benign. The average diagnostic performance for characterizing breast lesions as benign or malignant in terms of area under the curve was 0.899 for DBT and 0.914 for US (p = 0.394). Mean sensitivity (97.3% vs. 98.7%, p = 0.508) and specificity (44.7% vs. 39.4%, p = 0.360) were also not significantly different. CONCLUSION: Digital breast tomosynthesis may provide similar reader lesion characterization performance to that of US for breast lesions depicted on DM.
Adult ; Aged ; Biopsy ; Breast/*pathology ; Breast Neoplasms/*diagnosis/radiography/ultrasonography ; Female ; Humans ; Mammography/*methods ; Middle Aged ; ROC Curve ; Radiographic Image Enhancement/*methods ; Retrospective Studies ; Sensitivity and Specificity ; Ultrasonography, Mammary/*methods

No abstract available.
Adenocarcinoma/*diagnosis/radiography/secondary ; Adult ; Antineoplastic Agents/therapeutic use ; Breast Neoplasms/*diagnosis/drug therapy/pathology ; Carrier Proteins/metabolism ; Doxorubicin/therapeutic use ; Drug Therapy, Combination ; Endoscopy, Digestive System ; Female ; Glycoproteins/metabolism ; Humans ; Mastectomy, Modified Radical ; Positron-Emission Tomography and Computed Tomography ; Stomach Neoplasms/*diagnosis/radiography/secondary ; Taxoids/therapeutic use ; Tomography, X-Ray Computed

To realize the medical semantic annotation of mammogram, a semantic modeling approach for micro-calcifications in mammogram based on hierarchical Bayesian network (BN) was proposed. Firstly, support vector machines (SVM) were used to map low-level image feature into feature semantics, then high-level semantic was captured through fusing the feature semantics using BN. Finally semantic model was established. To validate the method, the model was applied to annotate the semantic information of mammograms. In this experiment, 142 images were chosen as training set and 50 images as testing set. The results showed that the accuracy of malignant samples was 81.48%, and that of benign samples was 73.91%.
Bayes Theorem ; Breast Diseases ; diagnostic imaging ; pathology ; Breast Neoplasms ; diagnosis ; diagnostic imaging ; Calcinosis ; diagnosis ; diagnostic imaging ; pathology ; Female ; Humans ; Image Interpretation, Computer-Assisted ; Models, Theoretical ; Radiography ; Semantics ; Support Vector Machine

Sonography is an attractive supplement to mammography in breast cancer screening because it is relatively inexpensive, requires no contrast-medium injection, is well tolerated by patients, and is widely available for equipment as compared with MRI. Sonography has been especially valuable for women with mammographically dense breast because it has consistently been able to detect a substantial number of cancers at an early stage. Despite these findings, breast sonography has known limitations as a screening tool; operator-dependence, the shortage of skilled operators, the inability to detect microcalcifications, and substantially higher false-positive rates than mammography. Further study of screening sonography is still ongoing and is expected to help establish the role of screening sonography.
Biopsy ; Breast Neoplasms/pathology/radiography/*ultrasonography ; Diagnosis, Differential ; Female ; Humans ; Mammography ; Mass Screening ; Observer Variation ; Predictive Value of Tests ; *Ultrasonography, Mammary

Breast metastases in cases leukemia are very rare and occur primarily in patients with acute myeloid leukemia. We report the involvement of breast metastases in a 30-year-old woman with acute T cell lymphoblastic leukemia. The patient's mammograms revealed an extremely dense pattern with ill-defined, denser mass-like lesions in both breasts. A bilateral breast ultrasonographic evaluation revealed lobular-shaped and partly ill-defined hypoechoic masses with a multi-septated nodular (mottled) appearance.
Adult ; Breast Neoplasms/drug therapy/radiography/*secondary/ultrasonography ; Diagnosis, Differential ; Female ; Humans ; Mammography ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/*pathology ; Ultrasonography, Mammary

Some breast neoplasms are classified as primary neuroendocrine carcinomas because they are positive for neuroendocrine markers. Although neuroendocrine carcinomas can originate from various organs of the body, primary neuroendocrine carcinomas of the breast are extremely rare. The diagnosis of primary neuroendocrine carcinoma of the breast can only be made if nonmammary sites are confidently excluded or if an in situ component can be found. Here we report a primary large-cell neuroendocrine carcinoma (LCNL) involving the left breast. Breast ultrasonography revealed a lobulated, heterogeneous, low-echoic mass in the left breast, and the lesion ap-peared as a well-defined, highly-enhancing mass on a chest computed tomography scan. Ultrasound-guided core needle biopsy was performed on the mass, and primary LCNC was confirmed by histopathologic examination.
Adult ; Breast Neoplasms/*diagnosis/pathology/ultrasonography ; Carcinoma, Large Cell/*diagnosis/pathology/radiography ; Carcinoma, Neuroendocrine/*diagnosis/pathology/radiography ; Diagnosis, Differential ; Female ; Humans ; Tomography, X-Ray Computed

OBJECTIVE: To evaluate the diagnostic accuracy of the use of an ultrasonography (US)-guided vacuum-assisted biopsy for microcalcifications of breast lesions and to evaluate the efficacy of the use of US-guided vacuum-assisted biopsy with long-term follow-up results. MATERIALS AND METHODS: US-guided vacuum-assisted biopsy cases of breast lesions that were performed between 2002 and 2006 for microcalcifications were retrospectively reviewed. A total of 62 breast lesions were identified where further pathological confirmation was obtained or where at least two years of mammography follow-up was obtained. These lesions were divided into the benign and malignant lesions (benign and malignant group) and were divided into underestimated group and not-underestimated lesions (underestimated and not-underestimated group) according to the diagnosis after a vacuum-assisted biopsy. The total number of specimens that contained microcalcifications was analyzed and the total number of microcalcification flecks as depicted on specimen mammography was analyzed to determine if there was any statistical difference between the groups. RESULTS: There were no false negative cases after more than two years of follow-up. Twenty-nine lesions were diagnosed as malignant (two invasive carcinomas and 27 carcinoma in situ lesions). Two of the 27 carcinoma in situ lesions were upgraded to invasive cancers after surgery. Among three patients diagnosed with atypical ductal hyperplasia, the diagnosis was upgraded to a ductal carcinoma in situ after surgery in one patient. There was no statistically significant difference in the number of specimens with microcalcifications and the total number of microcalcification flecks between the benign group and malignant group of patients and between the underestimated group and not-underestimated group of patients. CONCLUSION: US-guided vacuum-assisted biopsy can be an effective alternative to stereotactic-guided vacuum-assisted biopsy in cases where microcalcifications are visible with the use of high-resolution US.
Adult ; Aged ; *Biopsy/methods ; Breast/*pathology ; Breast Neoplasms/*diagnosis/pathology/radiography ; Calcinosis/*pathology ; Female ; Humans ; Mammography ; Middle Aged ; *Ultrasonography, Interventional ; Ultrasonography, Mammary ; Vacuum

Axillary disorders originate from an axillary lymph node, subcutaneous fat layer, accessory breast, nerve, vessel and muscle. The most common causes of a palpable axillary mass are a lymph node pathology containing a benign axillary lymphadenopathy, and malignant lymph nodes such as a metastatic lymphadenopathy from breast cancer and a malignant lymphoma. For the detection of masses in the axilla, mammography and sonography are the imaging modalities of choice. We present a spectrum of various axillary masses with correlative radiological imaging and pathological findings in this pictorial essay. Knowledge of the radiological findings of various axillary disorders is useful for a differential diagnosis and for preventing unnecessary invasive procedures.
Animals ; Axilla ; Breast Neoplasms ; Breast* ; Diagnosis, Differential ; Lymph Nodes ; Lymphatic Diseases ; Lymphatic Metastasis ; Lymphatic System ; Lymphoma ; Mammary Neoplasms, Animal ; Mammography ; Neoplasm Metastasis* ; Pathology ; Radiography ; Subcutaneous Fat ; Ultrasonography