Breast imaging: from 1965 to the present

A Review of Breast Imaging for Timely Diagnosis of Disease

Breast cancer (BC) is the cancer with the highest incidence in women in the world. In this last period, the COVID-19 pandemic has caused in many cases a drastic reduction of routine breast imaging activity due to the combination of various factors. The survival of BC is directly proportional to the earliness of diagnosis, and especially during this period, it is at least fundamental to remember that a diagnostic delay of even just three months could affect BC outcomes. In this article we will review the state of the art of breast imaging, starting from morphological imaging, i.e., mammography, tomosynthesis, ultrasound and magnetic resonance imaging and contrast-enhanced mammography, and their most recent evolutions; and ending with functional images, i.e., magnetic resonance imaging and contrast enhanced mammography.

A review of mammographic positioning image quality criteria for the craniocaudal projection

Detection of breast cancer is reliant on optimal breast positioning and the production of quality images. Two projections, the mediolateral oblique and craniocaudal (CC), are routinely performed. Determination of successful positioning and inclusion of all breast tissue is achieved through meeting stated image quality criteria. For the CC view, current image quality criteria are inconsistent. Absence of reliable anatomical markers, other than the nipple, further contribute to difficulties in assessing the quality of CC views. The aim of this paper was to explore published international quality standards to identify and find the origin of any CC positioning criteria which might provide for quantitative assessment. The pectoralis major (pectoral) muscle was identified as a key posterior anatomical structure to establish optimum breast tissue inclusion on mammographic projections. It forms the first two of the three main CC metrics that are frequently reported (1) visualization of the pectoral muscle, (2) measurement of the posterior nipple line and (3) depiction of retroglandular fat. This literature review explores the origin of the three metrics, and discusses three key publications, spanning 1992 to 1994, on which subsequent image quality standards have been based. The evidence base to support published CC metrics is sometimes not specified and more often, the same set of publications are cited, most often without critical evaluation. To conclude, there remains uncertainty if the metrics explored for the CC view support objective evaluation and reproducibility to confirm optimal breast positioning and quality images.

Multispectral Optoacoustic Tomography (MSOT) of Human Breast Cancer

Purpose: In a pilot study, we introduce fast handheld multispectral optoacoustic tomography (MSOT) of the breast at 28 wavelengths, aiming to identify high-resolution optoacoustic (photoacoustic) patterns of breast cancer and noncancerous breast tissue.Experimental Design: We imaged 10 female patients ages 48-81 years with malignant nonspecific breast cancer or invasive lobular carcinoma. Three healthy volunteers ages 31-36 years were also imaged. Fast-MSOT was based on unique single-frame-per-pulse (SFPP) image acquisition employed to improve the accuracy of spectral differentiation over using a small number of wavelengths. Breast tissue was illuminated at the 700-970 nm spectral range over 0.56 seconds total scan time. MSOT data were guided by ultrasonography and X-ray mammography or MRI.Results: The extended spectral range allowed the computation of oxygenated hemoglobin (HBO₂), deoxygenated hemoglobin (HB), total blood volume (TBV), lipid, and water contributions, allowing first insights into in vivo high-resolution breast tissue MSOT cancer patterns. TBV and Hb/HBO₂ images resolved marked differences between cancer and control tissue, manifested as a vessel-rich tumor periphery with highly heterogeneous spatial appearance compared with healthy tissue. We observe significant TBV variations between different tumors and between tumors over healthy tissues. Water and fat lipid layers appear disrupted in cancer versus healthy tissue; however, offer weaker contrast compared with TBV images.Conclusions: In contrast to optical methods, MSOT resolves physiologic cancer features with high resolution and revealed patterns not offered by other radiologic modalities. The new features relate to personalized and precision medicine potential. Clin Cancer Res; 23(22); 6912-22. ©2017 AACR.

The evolution of breast imaging: past to present

The practice of breast imaging has transitioned through a wide variety of technologic advances from the early days of direct-exposure film mammography to xeromammography to screen-film mammography to the current era of full-field digital mammography and digital breast tomosynthesis. Along with these technologic advances, organized screening, federal regulations based on the Mammography Quality Standards Act, and the development of the American College of Radiology Breast Imaging Reporting and Data System have helped to shape the specialty of breast imaging. With the development of breast ultrasonography and breast magnetic resonance imaging, both complementary to mammography, additional algorithms for diagnostic workup and screening high-risk subgroups of women have emerged. A substantial part of breast imaging practice these days also involves breast interventional procedures-both percutaneous biopsy to obtain tissue diagnosis and localization procedures to guide surgical excision. This article reviews the evolution of breast imaging starting from a historical perspective and progressing to the present day.

RSNA Centennial Article: Gone but Not Completely forgotten— pictorial review of "antiquated" radiologic procedures [corrected]

The field of diagnostic and therapeutic radiology has always been characterized by constant innovation and creativity to evolve to its current form. There are numerous imaging techniques that were once prevalent but have become outdated and were replaced by the current examinations and modalities, which improve diagnostic accuracy and patient outcomes. Many of these outdated examinations were first described in the journal Radiology during its first 100 years of existence and were subsequently able to be disseminated across its vast readership to become the standard of care across the nation and the world. These earlier techniques, such as pneumoencephalography as it applies to neuroimaging and neurosurgery; kymography, a predecessor of cardiac imaging; contrast agents such as Thorotrast; and miscellaneous cultural tools, such as the shoe-fitting fluoroscope, left lasting impressions on the current practice of radiology and reflect a small subset of the imaging examinations of our predecessors. Knowledge of historic radiologic examinations and procedures is important to understand how we have arrived at the current practice of radiology we embrace today and how our field can continue to evolve to improve our diagnostic and therapeutic abilities to fit the changing needs of our patients.

Mammography and ultrasound imaging of preinvasive and invasive canine spontaneous mammary cancer and their similarities to human breast cancer

Understanding the evolution of proliferative breast disease such as atypical hyperplasia and carcinoma in situ is essential for clinical management of women diagnosed with these lesions. Therefore, an animal model that faithfully represents human breast disease in every aspect from spontaneity of dysplasia onset, histopathologic features, and genetics to clinical outcome is needed. Previously, we studied canine spontaneous atypical hyperplasia and ductal carcinoma in situ (low, intermediate, and high grade) and reported their similarities to human lesions in histopathologic and molecular features as well as prevalence. To further validate the resemblance of these lesions to humans, we examined their mammographic and sonographic characteristics in comparison with those of human's as well as the potential of the human Breast Imaging Reporting and Data System (BI-RADS) to predict canine disease. Nonlesional, benign, and malignant mammary glands of dogs presented to Sassari Veterinary Hospital were imaged using mammography and ultrasonography. The images where then analyzed and statistically correlated with histopathologic findings and to their similarities to humans. Our results showed that canine mammary preinvasive lesions, benign, and malignant tumors have mammographic abnormalities, including the presence, pattern, and distribution of macrocalcification and microcalcification, similar to their human counterparts. BI-RADS categorization is an accurate predictor of mammary malignancy in canine, with 90% sensitivity and 82.8% specificity. The similarities of mammographic images and the ability of BI-RADS to predict canine mammary malignances with high specificity and sensitivity further confirm and strengthen the value of dog as a model to study human breast premalignancies for the development of prognostic biomarkers.

Comparison of standard mammography with digital mammography and digital infrared thermal imaging for breast cancer screening

Breast cancer is the most common malignancy in women. Screen-film mammography (SFM) has been considered the gold standard for breast cancer screening and detection. Despite its recognized value in detecting and characterizing breast disease, mammography has important limitations and its false-negative rate ranges from 4% to 34%. Given these limitations, development of imaging modalities that would enhance, complement, or replace mammography has been a priority. Digital mammography (FFDM) and digital infrared thermal imaging (DITI) are some of these alternative modalities.

Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States

PURPOSE

To evaluate the robustness of a breast ultrasonographic (US) computer-aided diagnosis (CAD) system in terms of its performance across different patient populations.

MATERIALS AND METHODS

Three US databases were analyzed for this study: one South Korean and two United States databases. All three databases were utilized in an institutional review board-approved and HIPAA-compliant manner. Round-robin analysis and independent testing were performed to evaluate the performance of a computerized breast cancer classification scheme across the databases. Receiver operating characteristic (ROC) analysis was used to evaluate performance differences.

RESULTS

The round-robin analyses of each database demonstrated similar results, with areas under the ROC curve ranging from 0.88 (95% confidence interval [CI]: 0.820, 0.918) to 0.91 (95% CI: 0.86, 0.95). The independent testing of each database, however, indicated that although the performances were similar, the range in areas under the ROC curve (from 0.79 [95% CI: 0.730, 0.842] to 0.87 [95% CI: 0.794, 0.923]) was wider than that with the round-robin tests. However, the only instances in which statistically significant differences in performance were demonstrated occurred when the Korean database was used in a testing capacity in independent testing.

CONCLUSION

The few observed statistically significant differences in performance indicated that while the US features used by the system were useful across the databases, their relative importance differed. In practice, this means that a CAD system may need to be adjusted when applied to a different population.

Prevalence of c-myc expression in breast lesions associated with microcalcifications detected by routine mammography

CONTEXT AND OBJECTIVE

Genetic abnormalities in cell proliferation-regulating genes have been described in premalignant lesions. The aims here were to evaluate c-myc protein expression in non-palpable breast lesions associated with microcalcifications, detected by screening mammography, and to compare these results with histopathological, clinical and epidemiological variables.

DESIGN AND SETTING

Analytical cross-sectional study, with retrospective data collection, in a university hospital in São Paulo.

METHODS

Seventy-nine female patients who underwent routine mammography between 1998 and 2004 were studied. Lesions classified by the Breast Imaging Reporting and Data System (BI-RADS) as 4 or 5 underwent percutaneous biopsy using a large-core needle. Ninety-eight lesions were studied anatomopathologically. Paraffin blocks properly representing the lesions were selected for immunohistochemical analyses using the streptavidin-biotin-peroxidase technique with monoclonal mouse c-myc antibodies.

RESULTS

Among the 98 lesions, 29 (29.6%) contained malignant neoplasia; 40 (40.8%) had a positive immunohistochemical reaction for c-myc. When the groups were divided between lesions without atypias versus atypical lesions plus malignant lesions, 31.03% of the 58 lesions without atypias were positive for c-myc and 55% of the 40 malignant and atypical lesions (P = 0.018). Comparing the atypical lesions with ductal carcinoma in situ versus the benign lesions without atypias, c-myc was present in 51.61% of the 31 atypical lesions and 31.03% of the benign lesions without atypias (P = 0.057).

CONCLUSION

C-myc protein was more frequently expressed in atypical and malignant lesions than in benign lesions without atypias. C-myc expression correlated with the presence of atypias (P = 0.018).

Performance of breast ultrasound computer-aided diagnosis: dependence on image selection

RATIONALE AND OBJECTIVES

The automated classification of sonographic breast lesions is generally accomplished by extracting and quantifying various features from the lesions. The selection of images to be analyzed, however, is usually left to the radiologist. Here we present an analysis of the effect that image selection can have on the performance of a breast ultrasound computer-aided diagnosis system.

MATERIALS AND METHODS

A database of 344 different sonographic lesions was analyzed for this study (219 cysts/benign processes, 125 malignant lesions). The database was collected in an institutional review board-approved, Health Insurance Portability and Accountability Act-compliant manner. Three different image selection protocols were used in the automated classification of each lesion: all images, first image only, and randomly selected images. After image selection, two different protocols were used to classify the lesions: (a) the average feature values were input to the classifier or (b) the classifier outputs were averaged together. Both protocols generated an estimated probability of malignancy. Round-robin analysis was performed using a Bayesian neural network-based classifier. Receiver-operating characteristic analysis was used to evaluate the performance of each protocol. Significance testing of the performance differences was performed via 95% confidence intervals and noninferiority tests.

RESULTS

The differences in the area under the receiver-operating characteristic curves were never more than 0.02 for the primary protocols. Noninferiority was demonstrated between these protocols with respect to standard input techniques (all images selected and feature averaging).

CONCLUSION

We have proved that our automated lesion classification scheme is robust and can perform well when subjected to variations in user input.

Pathophysiology, diagnosis, and management of aortic dissection

Aortic dissection is an uncommon but potentially fatal disease with catastrophic complications. A high level of suspicion is required for successful diagnosis as presenting symptoms are so variable that dissection may be overlooked in up to 39% of cases. It most commonly presents in the elderly population with a history of chronic hypertension. Rapid intervention is necessary as delay leads to higher mortality. Despite advances in diagnostic and therapeutic techniques, morbidity and mortality remains high. Advances in diagnostic imaging have raised the awareness of variants of aortic dissection, including intramural hemorrhage and penetrating aortic ulcer. This distinction is important as the clinical course of these variants differs from that of classical aortic dissection, and thus treatment may also differ. Understanding of these variants has also led to the recognition of markers that may help predict progression to classical aortic dissection and thus warrant closer vigilance in selected patient populations. The recognition that rapid diagnosis is required for management of aortic dissection has led to the investigation of serum tests as diagnostic aids. Serum smooth muscle myosin heavy chain, d-dimer, and serum soluble elastin fragments are promising tests that may help raise suspicion for the diagnosis of acute aortic dissection. The high mortality associated with surgical therapy has led to investigation of alternative approaches. Endovascular therapy has emerged as a viable option in patients with type B dissection who are too unstable for surgery. However, long-term follow up is required to validate this procedure.

Visualization of bonding at an inclusion boundary using axial-shear strain elastography: a feasibility study

Ultrasound elastography produces strain images of compliant tissues under quasi-static compression. In axial-shear strain elastography, the local axial-shear strain resulting from application of quasi-static axial compression to an inhomogeneous material is imaged. The overall hypothesis of this work is that the pattern of axial-shear strain distribution around the inclusion/background interface is completely determined by the bonding at the interface after normalization for inclusion size and applied strain levels, and that it is feasible to extract certain features from the axial-shear strain elastograms to quantify this pattern. The mechanical model used in this study consisted of a single stiff circular inclusion embedded in a homogeneous softer background. First, we performed a parametric study using finite-element analysis (FEA) (no ultrasound involved) to identify possible features that quantify the pattern of axial-shear strain distribution around an inclusion/background interface. Next, the ability to extract these features from axial-shear strain elastograms, estimated from simulated pre- and post-compression noisy RF data, was investigated. Further, the feasibility of extracting these features from in vivo breast data of benign and malignant tumors was also investigated. It is shown using the FEA study that the pattern of axial-shear strain distribution is determined by the degree of bonding at the inclusion/background interface. The results suggest the feasibility of using normalized features that capture the region of positive and negative axial-shear strain area to quantify the pattern of the axial-shear strain distribution. The simulation results showed that it was feasible to extract the features, as identified in the FEA study, from axial-shear strain elastograms. However, an effort must be made to obtain axial-shear strain elastograms with the highest signal-to-noise ratio (SNR(asse)) possible, without compromising the resolution. The in vivo results demonstrated the feasibility of producing and extracting features from the axial-shear strain elastograms from breast data. Furthermore, the in vivo axial-shear strain elastograms suggest an additional feature not identified in the simulations that may potentially be used for distinguishing benign from malignant tumors-the proximity of the axial-shear strain regions to the inclusion/background interface identified in the sonogram.

Computerized Classification Method for Differentiating Between Benign and Malignant Lesions on Breast MR Images

Contrast-enhanced breast MRI has been shown to have very high sensitivity in the detection of breast cancers. A new computerized classification method for differentiating between benign and malignant lesions on breast MRIs was developed. This method was based on temporal feature analysis. We experimented with a set of thresholds of the contrast uptake and washout speed to automatically determine suspicious malignant areas. An angiogenesis map was generated to indicate suspicious malignant areas by color. The results obtained from the retrospective analysis on 64 malignant and 29 benign breast lesions showed that our method achieved 90.5% (57/63) sensitivity in detecting malignant lesions, and it correctly classified 55% (16/29) benign lesions as benign. The study results demonstrated the effectiveness of this temporal feature analysis method for the detection of malignant lesions and its performance in delineating malignant lesions from benign lesions.

An ontology for PACS integration

An ontology describes a set of classes and the relationships among them. We explored the use of an ontology to integrate picture archiving and communication systems (PACS) with other information systems in the clinical enterprise. We created an ontological model of thoracic radiology that contained knowledge of anatomy, imaging procedures, and performed procedure steps. We explored the use of the model in two use cases: (1) to determine examination completeness and (2) to identify reference (comparison) images obtained in the same imaging projection. The model incorporated a total of 138 classes, including radiology orderables, procedures, procedure steps, imaging modalities, patient positions, and imaging planes. Radiological knowledge was encoded as relationships among these classes. The ontology successfully met the information requirements of the two use-case scenarios. Ontologies can represent radiological and clinical knowledge to integrate PACS with the clinical enterprise and to support the radiology interpretation process.

Mainstream breast cancer radiology perspective

Clinical breast-imaging tests must be fast, sensitive, specific, add information not otherwise available to clinicians at a reasonable cost, and be biopsy-capable. Mammography, breast ultrasound and imaging guided breast core biopsies and preoperative needle localizations are most often used in breast imaging facilities around the world. This article will describe mammography and breast ultrasound in current clinical practice for breast cancer detection, diagnosis, staging, image-guided biopsy, and for evaluation of response to neoadjuvant chemotherapy.

An MRI/US/x-ray compatible breast localization marker: in vivo evaluation

RATIONALE AND OBJECTIVES

An in vivo evaluation of a new trimodality breast localization marker was performed with magnetic resonance imaging (MRI), ultrasound (US), x-ray, and histopathology. The evaluation of the marker in animal tests should help define its utility for surgical biopsy localization in humans.

MATERIALS AND METHODS

Five rabbits were used and sacrificed at 2 days, 1 week, 2 weeks, 4 weeks, and 7 weeks after marker implantation. The marker placement and tissue biopsies were performed under US guidance. MRI, US, and x-ray imaging were performed to monitor the contrast of the marker, track marker migration. The biologic compatibility of the marker was demonstrated by histopathologic analysis.

RESULTS

The contrast of the marker was clear and stable on each imaging modality over the 7-week study period. Acute inflammation was visible by 2 days after marker injection, with evidence of granulation tissue and angiogenesis at 2 weeks after implantation. A modest degree of chronic inflammation and angiogenesis remained evident at 4 weeks after procedure, and fibrosis persisted 7 weeks after procedure with no further tissue changes. These results suggest that the new marker is biocompatible and can remain interstitial for up to 7 weeks. Furthermore, very little marker migration was observed. On removal, the marker was found to be mechanically stable.

CONCLUSION

This in vivo animal study demonstrates that the new marker may be appropriate for in vivo human testing and as an alternative to traditional wire localization currently used for breast surgery.

The first trial of phase contrast imaging for digital full-field mammography using a practical molybdenum x-ray tube

RATIONALE AND OBJECTIVES

The image quality of a newly developed full-field digital phase contrast mammography (PCM) system and of a conventional screen-film (SF) mammography system were compared via images of a phantom and receiver operating characteristic (ROC) analysis of clinical images.

METHODS

Magnified (1.75X) PCM images were scanned (sampling rate, 43.75 microm) and then reduced to original-sized, 25-micron pixel images printed on photothermographic film. Along with corresponding SF images, the phantom images were evaluated subjectively, and the clinical images of 38 patients were subjected to ROC analysis of mass and microcalcification.

RESULTS

In the image quality of a phantom, the PCM exceeded the SF. In both mass and microcalcification, the ROC analysis Az values of the PCM clinical images surpassed those of the SF images.

CONCLUSION

The PCM provides better images than the SF. Clinical trials suggest superior detection of both mass and microcalcification by full-field digital PCM over conventional SF mammography.

3D-Ultraschall (3D-US) in der Diagnostik von Mammaherdbefunden

BACKGROUND

It was to analyse whether 3D breast US is able to enhance the diagnosis of focal breast lesions.

MATERIAL AND METHODS

60 patients were examined with 2D- and 3D US (GE logiq 9, 14 MHz). The solid lesions were analyzed by using the BIRADS classification. As standard of reference, histopathologic results were available in all cases.

RESULTS

38 malignant and 22 benign lesions were analyzed. With 2D US the sensitivity/specificity was 92/81%, with 3D US 97/72%, and by combination of 2D and 3D 97/81%. Characteristics of benign solid masses included a round or oval shape as well as clearly defined and sharply demarcated margins.

CONCLUSIONS

3D US allows to demonstrate breast masses in multiple planes. Distorsion of the surrounding soft tissues is an important sign indicative of malignancy.

Evaluation of equipment performance, patient dose, imaging quality, and diagnostic coincidence in five Mexico City mammography services

BACKGROUND

Regulations concerning the use of x-rays in medical diagnoses were published in Mexico in 1997. In this work, we evaluate technical aspects of mammography services in the Mexico City area and radiation dose and coincidence between the radiological interpretation by the institution radiologist and by a panel of experts.

METHODS

Following methodology proposed by the American College of Radiology and the European Community among others, we have evaluated the performance of six mammography systems in Mexico City public and private services. The studied services carry out approximately one half of the mammography studies in the capital's metropolitan area.

RESULTS

The systems comply with 53-82% of a total of 31 applied quality control tests and measurements, which include the mammography unit, x-ray generation, collimation, automatic exposure control, compression devices, grid and image receptor, film processing, darkroom, viewboxes, dose, film rejection, and image quality. The elements that most frequently fail are film processing, darkroom, and light boxes; average ACR phantom score is 11.2 (9.5, 12.0); mean average glandular dose measured with the phantom is 1.00 (0.71-1.15) mGy, and measured in patients is 1.75 (0.3, 4.9) mGy; coincidence between radiologic reports (BI-RADS) by the institution radiologist and a panel of experts is obtained in 35% of studied cases.

CONCLUSIONS

Statistical analysis of results indicated that the level of equipment performance is correlated with image quality, image quality estimated by the panel of radiologists is correlated with phantom score, and coincidence in clinical mammography reports is not correlated with equipment performance and appears to depend on the radiologist's experience.

Diagnostic accuracy of Fischer Senoscan Digital Mammography versus screen-film mammography in a diagnostic mammography population

RATIONALE AND OBJECTIVES

To compare the diagnostic accuracy of the Fischer Senoscan Digital Mammography System with that of standard screen-film mammography in a population of women presenting for screening or diagnostic mammography.

MATERIALS AND METHODS

Enrollment of patients took place at six different breast-imaging centers between 1997 and 1999. A total of 247 cases were selected for inclusion in the final reader study. All known cancer cases were included (111) from all six participating sites representing 45% of the total cases. The remaining 136 cases (55%) were randomly selected from all available benign or negative cases from three of the six sites. A complete case consisted of both a (unilateral or bilateral) digital and screen-film mammogram of the same patient. Eight radiologists interpreted the cases in laser-printed digital and screen-film hardcopy formats. The study was designed to detect differences of 0.05 in the ROC area under the curve (AUC) between digital and screen-film radiologist interpretation performance.

RESULTS

The average AUC for the Senoscan digital was 0.715 for the 8 readers. The average AUC for screen-film was 0.765. The difference AUC of -0.05 falls within the 95% confidence interval (-0.101, 0.002). The average sensitivity was 66% and specificity 67% for SenoScan full-field digital mammography. The average screen-film mammography sensitivity and specificity were 74% and 60%, respectively.

CONCLUSION

No statistically significant difference in diagnostic accuracy between the Fischer Senoscan and screen-film mammography was detected in this study.

Dedicated screening mammography for diagnosis of small breast cancer

Breast cancer is the most common malignancy in women, and early diagnosis is a cornerstone of successful treatment. Mammography is the sole acceptable method for breast cancer screening, but its efficacy is still disputable. The aim of this study was to determine whether the influence of dedicated mammographic team skills could improve the diagnostic accuracy of screening mammography and detection of small breast cancers. From June 1992 to September 1996 a total of 17,393 screening mammograms and 335 mammographically guided needle-localization breast biopsies were performed. From August 1994, a dedicated mammographer commenced work in our hospital. Screening mammography and biopsy results were compared for the nondedicated period (NDP) and the dedicated period (DP). The biopsy rate decreased from 2.9% to 1.3% (p < 0.0001), and the positive biopsy rate increased from 26.3% to 48.2% (p < 0.0001) during the respective periods. The cancer detection rate not changed significantly (p = 0.27) through the whole study period, but the subgroup of small carcinomas (T0, T1a, T1b) increased significantly (p < 0.04), from 25 cases in the NDP to 40 cases in the DP. We concluded that dedicated mammography team skills can significantly improve the detection of small breast cancers and permit more effective diagnosis of breast cancer by reducing the number of breast biopsies ultimately found to be benign.

Computerized analysis of shadowing on breast ultrasound for improved lesion detection

Sonography is being considered for the screening of women at high risk for breast cancer. We are developing computerized detection methods to aid in the localization of lesions on breast ultrasound images. The detection scheme presented here is based on the analysis of posterior acoustic shadowing, since posterior acoustic shadowing is observed for many malignant lesions. The method uses a nonlinear filtering technique based on the skewness of the gray level distribution within a kernel of image data. The database used in this study included 400 breast ultrasound cases (757 images) consisting of complicated cysts, solid benign lesions, and malignant lesions. At a false-positive rate of 0.25 false positives per image, a detection sensitivity of 80% by case (66% by image) was achieved for malignant lesions. The performance for the overall database (at 0.25 false positives per image) was less at 42% sensitivity by case (30% by image) due to the more limited presence of posterior acoustic shadowing for benign solid lesions and the presence of posterior acoustic enhancement for cysts. Our computerized method for the detection of lesion shadows alerts radiologists to lesions that exhibit posterior acoustic shadowing. While this is not a characterization method, its performance is best for lesions that exhibit posterior acoustic shadowing such as malignant and, to a lesser extent, benign solid lesions. This method, in combination with other computerized sonographic detection methods, may ultimately help facilitate the use of ultrasound for breast cancer screening.

Clinical validity of new ultrasound methods in the differential diagnosis of breast diseases

The clinical application of the extended-field-of-view (EFOV) technique, 3D ultrasonography (3D US) and a newly developed US method using a homogeneous tissue equivalent phantom, the so-called attenuation in phantom (AIPH) method, was evaluated in 200 patients with breast disease. These methods improved differentiation both in the preoperative diagnostic and in the postoperative follow-up. EFOV made possible to see large or multiple lesions and also their vasculature in a single image, allowing exact measurement, comparison and better assessment of traditional criteria. In addition, costs and examination time were also reduced. The possibility of viewing the spatial arrangement and the internal and external surfaces of the lesions improved preoperative decision making. Finally, the newly developed AIPH method allowed excellent evaluation of the posterior acoustic pattern of the lesions even when the mass was near the chest wall. For this reason, it was easier to distinguish malignant lesions from benign lesions of the breast.

Computerized lesion detection on breast ultrasound

We investigated the use of a radial gradient index (RGI) filtering technique to automatically detect lesions on breast ultrasound. After initial RGI filtering, a sensitivity of 87% at 0.76 false-positive detections per image was obtained on a database of 400 patients (757 images). Next, lesion candidates were segmented from the background by maximizing an average radial gradient (ARD) index for regions grown from the detected points. At an overlap of 0.4 with a radiologist lesion outline, 75% of the lesions were correctly detected. Subsequently, round robin analysis was used to assess the quality of the classification of lesion candidates into actual lesions and false-positives by a Bayesian neural network. The round robin analysis yielded an Az value of 0.84, and an overall performance by case of 94% sensitivity at 0.48 false-positives per image. Use of computerized analysis of breast sonograms may ultimately facilitate the use of sonography in breast cancer screening programs.

Nonpalpable breast cancer: mammographic appearance as predictor of histologic type

PURPOSE

To investigate the association between mammographic appearance and histologic diagnosis of nonpalpable breast cancers.

MATERIALS AND METHODS

Mammographic characteristics of 317 consecutive clinically nonpalpable breast cancers in patients treated with breast-conserving surgery were reviewed. Malignant lesions were categorized as spiculated masses, other lesions, calcifications, and combined findings. Calcifications were characterized as amorphous, pleomorphic, or fine linear and branching. Logistic regression was used for the evaluation. Odds ratios (ORs) represent the magnitude of the association between a histologic diagnosis and a mammographic finding.

RESULTS

Spiculated mass without calcifications (n = 150) and calcifications alone (n = 79) accounted for three of four cancers. A spiculated mass without calcifications was strongly associated with invasive cancers (OR = 12). Calcifications alone were strongly associated with ductal carcinoma in situ (DCIS) (OR = 19). In a decreasing order, the following invasive cancers were each associated with spiculated lesions without calcifications: ductal carcinoma grade 1 (OR = 28), ductal carcinoma grade 2 (OR = 17), lobular carcinoma (OR = 11), and ductal carcinoma grade 3 (OR = 4.6). Fine linear and branching calcifications alone were associated with not only DCIS nuclear grades 3 (OR = 17) and 2 (OR = 9.7) but also with invasive ductal carcinoma grade 3 (OR = 13).

CONCLUSION

Mammographic appearance can be a predictor of histologic diagnosis in three of four nonpalpable breast cancers.

Toward a representation format for sharable clinical guidelines

Clinical guidelines are being developed for the purpose of reducing medical errors and unjustified variations in medical practice, and for basing medical practice on evidence. Encoding guidelines in a computer-interpretable format and integrating them with the electronic medical record can enable delivery of patient-specific recommendations when and where needed. Since great effort must be expended in developing high-quality guidelines, and in making them computer-interpretable, it is highly desirable to be able to share computer-interpretable guidelines (CIGs) among institutions. Adoption of a common format for representing CIGs is one approach to sharing. Factors that need to be considered in creating a format for sharable CIGs include (i) the scope of guidelines and their intended applications, (ii) the method of delivery of the recommendations, and (iii) the environment, consisting of the practice setting and the information system in which the guidelines will be applied. Several investigators have proposed solutions that improve the sharability of CIGs and, more generally, of medical knowledge. These approaches can be useful in the development of a format for sharable CIGs. Challenges in sharing CIGs also include the need to extend the traditional framework for disseminating guidelines to enable them to be integrated into practice. These extensions include processes for (i) local adaptation of recommendations encoded in shared generic guidelines and (ii) integration of guidelines into the institutional information systems.