The association of breast mitogens with mammographic densities.

Radiologically dense breast tissue (mammographic density) is strongly associated with risk of breast cancer, but the biological basis for this association is unknown. In this study we have examined the association of circulating levels of hormones and growth factors with mammographic density. A total of 382 subjects, 193 premenopausal and 189 postmenopausal, without previous breast cancer or current hormone use, were selected in each of five categories of breast density from mammography units. Risk factor information, anthropometric measures, and blood samples were obtained, and oestradiol, progesterone, sex hormone binding globulin, growth hormone, insulin-like growth factor-I and its principal binding protein, and prolactin measured. Mammograms were digitised and measured using a computer-assisted method. After adjustment for other risk factors, we found in premenopausal women that serum insulin-like growth factor-I levels, and in postmenopausal women, serum levels of prolactin, were both significantly and positively associated with per cent density. Total oestradiol and progesterone levels were unrelated to per cent density in both groups. In postmenopausal women, free oestradiol (negatively), and sex hormone binding globulin (positively), were significantly related to per cent density. These data show an association between blood levels of breast mitogens and mammographic density, and suggest a biological basis for the associated risk of breast cancer.

Growth factors and stromal matrix proteins associated with mammographic densities.

Extensive radiologically dense breast tissue is associated with a marked increase in breast cancer risk. To explore the biological basis for this association, we have examined the association of growth factors and stromal matrix proteins in breast tissue with mammographic densities. Ninety-two formalin-fixed paraffin blocks of breast tissues surrounding benign lesions were obtained, half from breasts with little or no density and half from breasts with extensive density, matched for age at biopsy. Sections were stained for cell nuclei, total collagen, the stromal matrix regulatory protein tissue metalloproteinase-3 (TIMP-3), and the growth factors, transforming growth factor-alpha and insulin-like growth factor (IGF-I). The area of immunoreactive staining was measured using quantitative microscopy. Breast tissue from subjects with extensive densities had a greater nuclear area (P = 0.007), as well as larger stained areas of total collagen (P = 0.003), TIMP-3 (P = 0.08), and IGF-I (P = 0.02) when compared with subjects with little breast density. Differences were greater for subjects less than 50 years of age. These data indicate that increased tissue cellularity, greater amounts of collagen, and increased IGF-I and TIMP-3 expression are found in tissue from mammographically dense breasts and suggest mechanisms that may mediate the associated increased risk of breast cancer.

In situ duct carcinoma of the breast: clinical and histopathologic factors and association with recurrent carcinoma.

There has been a recent increase in the diagnosis of in situ duct carcinoma of the breast (DCIS) as a result of mammographic screening. DCIS is heterogeneous in appearance and likely in prognosis. There is no generally accepted model to predict progression to invasive carcinoma. We investigated the prognostic effect of clinical presentation and pathologic factors for women diagnosed with primary DCIS. A cohort of 124 patients was accrued between 1979 and 1994 and was followed to 1997; 78 had DCIS detected mammographically, and 88 underwent lumpectomy alone. In this article, we provide details about characteristics affecting the choice of primary therapeutic modality, and we examine the effects of factors on progression for the two patient subgroups. Presentation with bloody nipple discharge was associated with a significant increase in DCIS recurrence (p=0.07). The pattern of duct distribution was important: DCIS in which the involved ducts were more widely separated had a significantly greater recurrence of DCIS than when the involved ducts were more concentrated (p=0.08 for mammographically detected DCIS, p=0.07 for patients who underwent lumpectomy alone). For mammographically detected DCIS, younger patients had more DCIS recurrence (p=0.07). We found considerable heterogeneity in nuclear grade; 50% of patients exhibited more than one grade. Nuclear grade, necrosis, and architecture were not significantly associated with either recurrence of DCIS or development of invasive carcinoma. Longer follow-up will allow further evaluation of the prognostic relevance of the factors assessed.

Mammographic densities and risk of breast cancer among subjects with a family history of this disease.

BACKGROUND: A family history of breast cancer is known to increase risk of the disease, but other genetic and environmental factors that modify this risk are likely to exist. One of these factors is mammographic density, and we have sought evidence that it is associated with increased risk of breast cancer among women with a family history of breast cancer. METHODS: We used data from a nested case-control study based on the Canadian National Breast Screening Study (NBSS). From 354 case patients with incident breast cancer detected at least 12 months after entry into the NBSS and 354 matched control subjects, we analyzed subjects who were identified as having a family history of breast cancer according to one of three, nonmutually exclusive, criteria. We compared the mammographic densities of case patients and control subjects by radiologic and computer-assisted methods of measurement. RESULTS: After adjustment for other risk factors for breast cancer, the relative risks (RRs) between the most and least extensive categories of breast density were as follows: For at least one first-degree relative with breast cancer, RR = 11.14 (95% confidence interval [CI] = 1.54-80.39); for at least two affected first- or second-degree relatives, RR = 2.57 (95% CI = 0.23-28.22); for at least one first- or second-degree relative with breast cancer, RR = 5.43 (95% CI = 1.85-15.88). CONCLUSIONS: These results suggest that mammographic density may be strongly associated with risk of breast cancer among women with a family history of the disease. Because mammographic densities can be modified by dietary and hormonal interventions, the results suggest potential approaches to the prevention of breast cancer in women with a family history of breast cancer.

Assessment of treatment for patients with primary ductal carcinoma in situ in the breast.

BACKGROUND: Current mammographic technology has resulted in increased detection of ductal carcinoma in situ (DCIS). It is necessary to assess which patients presenting with DCIS are good candidates for breast conservation and which of these patients should receive adjuvant radiation. METHODS: We accrued clinical data for 124 patients with a primary diagnosis of DCIS from 1979 through 1994. Primary therapy was a mastectomy for 18 patients, and a lumpectomy for 106 patients. Only 18 of the latter group of patients received adjuvant radiotherapy. For the 88 lumpectomy-alone patients (median follow-up, 5.2 years), we evaluated the effects of clinical (age and initial presentation) and pathologic (nuclear grade, architecture, parenchymal involvement, calcifications, and measured margins) factors on recurrence of DCIS or the development of invasive breast cancer. RESULTS: Patients who underwent lumpectomy with or without adjuvant radiotherapy (median follow-up, 5.0 years) were significantly more likely to have recurrence of DCIS (P=.05) than those who underwent mastectomy (median follow-up, 6.7 years): 18% (19/106) versus 0% (0/18), respectively; lumpectomy-alone patients experienced a 19% (17/88) rate of DCIS recurrence. All recurrent DCIS was ipsilateral. For lumpectomy-alone patients, the factors associated with ipsilateral recurrence of DCIS were extent of involvement of the parenchyma (P=.01, for univariate; P=.07, for multivariate) and initial presentation (P=.05, for univariate; P=.07, for multivariate). Eleven lumpectomy-alone patients developed invasive breast cancer (6 ipsilateral, 5 contralateral); none of the 18 lumpectomy patients who received adjuvant radiation developed invasive disease. None of the factors investigated, including primary surgery and adjuvant radiotherapy, were associated with a significant effect on the development of invasive disease. CONCLUSIONS: Longer follow-up is required to determine if the benefits of either mastectomy or radiotherapy following lumpectomy persist. There is a suggestion that patients under 40 years of age or women who present with nipple discharge might be considered for either adjuvant radiotherapy following lumpectomy or a simple mastectomy.

Breast cancer risk and measured mammographic density.

It has been well established that there is a positive correlation between the dense appearance of breast stroma and parenchyma on a mammogram and the risk of breast cancer. Subjective assessment by radiologists indicated relative risks on the order of 4 to 6 for the group of women whose mammograms showed a density of over 75% or more of the projected area compared to those with an absence of density. In order to obtain a more quantitative, continuous and reproducible means of estimating breast density, which is sensitive to small changes, we have developed quantitative methods for the analysis of mammographic density, which can be applied to digitized mammograms. These techniques have been validated in a nested case-control study on 708 women aged 40-59 years (on entry) who participated in a national mammographic screening study. An interactive image segmentation method and two completely automated techniques based on image texture and grey scale histogram measures have been developed and evaluated. While our methods all show statistically significant risk factors for dense breasts, the interactive method currently provides the highest risk values (relative risk 4.0, 95% confidence interval (CI) = 2.12-7.56) compared to a measure based on the shape of the image histogram (relative risk 3.35, 95% CI = 1.57-7.12) or the fractal dimension of the mammogram (relative risk 2.54, 95% CI = 1.14-5.68). All methods were highly consistent between images of the left and right breast and between the two standard views (cranio-caudal and medio-lateral oblique) of each breast, so that studies can be done by sampling only one of the four views per examination. There is a large number of factors in addition to breast density which affect the appearance of the mammogram. In particular, the assessment of density is made difficult where the breast is not uniformly compressed, e.g. at the periphery. We have designed and are currently evaluating an image processing algorithm that effectively corrects for this problem and have considered methods for controlling some of the variables of image acquisition in prospective studies. Measurements of breast density may be helpful in assigning risk groups to women. Such measurements might guide the frequency of mammographic screening, aid the study of breast cancer aetiology, and be useful in monitoring possible risk-modifying interventions. Using our techniques, we have been able to show that reduction of the proportion of fat in the diet can result in reductions of breast density, although the direct connection to risk has not yet been made. The relationship between breast density and hormone-related and genetic factors is also of great interest. It is often not possible or ethical to obtain mammograms on some groups of women for whom information on density would be very useful. This includes younger women as well as groups in which it would be desirable to obtain such information at frequent intervals. For this reason, we are exploring the use of imaging approaches such as ultrasound and magnetic resonance imaging, which do not require ionizing radiation, to make measurements analogous to those now being performed by using X-ray mammograms.

Symmetry of projection in the quantitative analysis of mammographic images.

Mammographic parenchymal patterns are among the strongest indicators of the risk of developing breast cancer. Risk evaluation through breast patterns may have an important role in studies of the aetiology of breast cancer and for monitoring changes in the breast in evaluating potential risk-modifying interventions. Typically, patterns are assessed by an experienced radiologist according to Wolfe grade, or on a coarse quantitative scale according to percent density. Parenchymal characterization methods, to overcome variability of classification by human observer, are under investigation. These include image segmentation using semi-automatic thresholding and automatic classification through textural and density measures. An important practical question relates to the extent to which information about mammographic pattern is carried by any one of the four views obtained in a typical examination. Specifically, variations of right-left breast symmetry and variations between the two standard views of each breast were tested. The mammograms of 30 premenopausal women, comprising 90 images [30 each of the right cranial-caudal (RCC), left cranial-caudal (LCC) and right medial-lateral oblique (RMLO)] were evaluated. Parameters included both subjective (radiologist classification and interactive image thresholding) and objective (fractal and skewness indices) quantitative measurements of parenchymal pattern. For the parameters tested, a high degree of correlations was observed for measurements on the RCC, LCC and RMLO views. Pearson correlation coefficients between 0.86-0.96 were found for the comparisons of quantitative parameters. The strong correlations suggest that, in the study and application of mammographic density classification, representative information is provided in a single view.

Mammographic signs of potential relevance to breast cancer risk: the agreement of radiologists' classification.

We have assessed the agreement of radiologists who quantitatively estimated the extent of various mammographic features of the breast. These features are of potential relevance to the estimation of the future risk of developing breast cancer. After preparation, in which various mammographic appearances and their classification were discussed and agreed upon, two radiologists, experienced in mammography, independently estimated the extent of various types of radiological density in 120 sets of mammograms, each comprised of two mediolateral and two craniocaudal views. The results showed a high level of agreement between the two radiologists in the classification of total mammographic densities (r = 0.89). For classification of specific types of density, agreement was best for homogeneous densities (r = 0.79), more intermediate for nodular densities (r = 0.71) and worst for linear densities (r = 0.48). These results show that radiologists can, with suitable preparation, identify total breast density, a mammographic sign relevant to a woman's risk of later developing breast cancer, with a high degree of agreement.

Combined fine-needle aspiration, physical examination and mammography in the diagnosis of palpable breast masses: their relation to outcome for women with primary breast cancer.

OBJECTIVE: To examine the combined and individual predictive values of fine-needle aspiration (FNA), physical examination (PE) of the breast and mammography (the "triple test") in diagnosing breast cancer in relation to the results of open surgical biopsy. DESIGN: A study of the records of patients who received both FNA and open surgical biopsy for the same palpable breast lump. The results of diagnostic assessment and open surgical biopsy were categorized as positive or negative. Concordance (percentage of tests found to be correct at biopsy), sensitivity, specificity (percentage of patients without breast cancer for whom the diagnostic test was negative) and positive predictive value (percentage of patients with a positive test found to have breast cancer) were determined for the triple test for each diagnostic modality. In addition, prognostic variables (tumour size, node positivity, estrogen and progesterone receptor status) and outcomes were assessed in patients with a diagnosis of breast cancer. SETTING: A university-affiliated general hospital with a special focus on women's health. PATIENTS: Of 290 patients who had both FNA and open surgical biopsy, 191 underwent all three diagnostic procedures. MAIN OUTCOME MEASURES: The diagnostic accuracy of FNA, PE and mammography to permit preoperative definitive therapy or to allow observation without mandating open surgical biopsy. RESULTS: In 81 patients all three diagnostic modalities were in agreement for a diagnosis of either benign or malignant disease; the concordance for the triple test was 98.8% specificity was 100% and sensitivity was 95.5%. Nodal status, tumour size and outcome were similar whether or not the triple test was positive, but, interestingly, when the triple-test results were positive, estrogen (p < 0.05) and progesterone (p < 0.03) receptor values were more likely to be negative. CONCLUSIONS: When all three diagnostic modalities were in agreement for a diagnosis of malignant disease, the combination of FNA, PE and mammography had excellent concordance with the results of open surgical biopsy, and in this situation definitive treatment may be carried out. If all three modalities are in agreement for a diagnosis of benign disease, a period of close observation with repetition of FNA may be safely entertained. Lack of concordance of the three diagnostic modalities mandates biopsy. Triple-test positively does not predict a worse outcome.

Magnetic resonance imaging in potential postsurgical recurrence of breast cancer: pitfalls and limitations.

OBJECTIVE: To determine the sensitivity and specificity of magnetic resonance imaging (MRI) of the breast for detecting recurrent carcinoma. PATIENTS AND METHODS: Thirteen patients ranging in age from 47 to 77 years who had undergone lumpectomy 5 months to 8 years earlier and who had mammographic findings suggestive of recurrence underwent contrast-enhanced dynamic MRI. Histologic confirmation was obtained in all cases. RESULTS: Of the eight lesions (in seven patients) for which biopsy proved recurrence, MRI correctly identified six; there were two false negative results. Of the six benign lesions, four were correctly identified by MRI. The two false positive results involved fat necrosis and a foreign-body reaction respectively. CONCLUSION: These results confirm previous reports of the poor specificity of MRI of focal breast lesions. The authors therefore recommend caution in the use of breast MRI in the assessment and management of suspected recurrent carcinoma.

Automated analysis of mammographic densities.

Information derived from mammographic parenchymal patterns provides one of the strongest indicators of the risk of developing breast cancer. To address several limitations of subjective classification of mammographic parenchyma into coarse density categories, we have been investigating more quantitative, objective methods of analysing the film-screen mammogram. These include measures of the skewness of the image brightness histogram, and of image texture characterized by the fractal dimension. Both measures were found to be strongly correlated with radiologists' subjective classifications of mammographic parenchyma (Spearman correlation coefficients, Rs = -0.88 and -0.76 for skewness and fractal dimension measurements, respectively). Further, neither measure was strongly dependent on simulated changes in mammographic technique. Correlation with subjective classification of mammographic density was better when both the skewness and fractal measures were used in combination than when either was used alone. This suggests that each feature provides some independent information.

Mammographic densities as a criterion for entry to a clinical trial of breast cancer prevention.

The most convincing evidence that a factor such as dietary fat is causally related to breast cancer would be obtained from a randomised controlled trial in which exposure to dietary fat intake was systematically varied. A limitation of randomised controlled trials of breast cancer prevention, however, is the large sample size required to detect plausible reductions in risk resulting from the intervention. We describe here experience over a period of 9 years with the use of one risk factor for breast cancer as a criterion for entry to a clinical trial of breast cancer prevention. The risk factor used was the presence of extensive densities in the breast tissue on mammography, which has been found by several investigators to be strongly associated with risk of breast cancer. Using this criterion for selection, 1800 subjects of mean age 46 years were enrolled between 1982 and 1986, and again between 1988 and the present. Throughout this period, the point estimate of annual invasive cancer incidence was approximately 6 per 1000 per year. The observed cancer incidence has been consistently 4-5 times the incidence expected from age-specific breast cancer incidence data for women living in Ontario. These data show that the selection of subjects for a clinical trial of breast cancer prevention using the criterion of extensive breast parenchymal densities does identify a group at substantially increased risk of breast cancer. Use of this criterion for the selection of subjects can substantially reduce the sample size required for a clinical trial of a preventive strategy.

Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study.

BACKGROUND: The radiographic appearance of the female breast varies from woman to woman depending on the relative amounts of fat and connective and epithelial tissues present. Variations in the mammographic density of breast tissue are referred to as the parenchymal pattern of the breast. Fat is radiologically translucent or clear (darker appearance), and both connective and epithelial tissues are radiologically dense (lighter appearance). Previous studies have generally supported an association between parenchymal patterns and breast cancer risk (greater risk with increasing densities), but there has been considerable heterogeneity in risk estimates reported. PURPOSE: Our objective was to determine the level of breast cancer risk associated with varying mammographic densities by quantitatively classifying breast density with conventional radiological methods and novel computer-assisted methods. METHODS: From the medical records of a cohort of 45,000 women assigned to mammography in the Canadian National Breast Cancer Screening Study (NBSS), a multicenter, randomized trial, mammograms from 354 case subjects and 354 control subjects were identified. Case subjects were selected from those women in whom histologically verified invasive breast cancer had developed 12 months or more after entering the trial. Control subjects were selected from those of similar age who, after a similar period of observation, had not developed breast cancer. The mammogram taken at the beginning of the NBSS was the image used for measurements. Mammograms were classified into six categories of density, either by radiologists or by computer-assisted measurements. All radiological classification and computer-assisted measurements were made using one craniocaudal view from the breast contralateral to the cancer site in case subjects and the corresponding breast of control subjects. All P values represent two-sided tests of statistical significance. RESULTS: For all subjects, there was a 43% increase in the relative risk (RR) between the lower and the next higher category of density, as determined by radiologists, and there was a 32% increase as determined by the computer-assisted method. For all subjects, the RR in the most extensive category relative to the least was 6.05 (95% confidence interval [CI] = 2.82-12.97) for radiologists and 4.04 (95% CI = 2.12-7.69) for computer-assisted methods. Statistically significant increases in breast cancer risk associated with increasing mammographic density were found by both radiologists and computer-assisted methods for women in the age category 40-49 years (P = .005 for radiologists and P = .003 for computer-assisted measurements) and the age category 50-59 years (P = .002 for radiologists and P = .001 for computer-assisted measurements). CONCLUSION: These results show that increases in the level of breast tissue density as assessed by mammography are associated with increases in risk for breast cancer.

The quantitative analysis of mammographic densities.

Quantitative classification of mammographic parenchyma based on radiological assessment has been shown to provide one of the strongest estimates of the risk of developing breast cancer. Existing classification schemes, however, are limited by coarse category scales. In addition, subjectivity can lead to sizeable interobserver and intraobserver variations. Here, we propose an interactive thresholding technique applied to digitized film-screen mammograms, which assesses the proportion of the mammographic image representing radiographically dense tissue. Observers viewed images on a CRT display and selected grey-level thresholds from which the breast and regions of dense tissue in the breast were identified. The proportion of radiographic density was then calculated from the image histogram. The technique was evaluated for the mammograms of 30 women and is well correlated (R > 0.91, Spearman coefficient) with a six-category subjective classification of radiographic density by radiologists. The technique was found to be very reliable with an intraclass correlation coefficient between observers typically R > 0.9. This technique may have a role in routine mammographic analysis for the purpose of assessing risk categories and as a tool in studies of the etiology of breast cancer, in particular for monitoring changes in breast parenchyma during potential preventive interventions.

Evaluation of mammographic image quality: pilot study comparing five methods.

A radiograph is considered of high quality when it allows a radiologist to identify abnormalities with high sensitivity and specificity. Although many methods for assessing image quality have been devised, it is not clear which is most meaningful or how well these methods correlate with one another. A pilot study was undertaken to compare five methods of evaluating mammographic image quality. Each of the methods was used to form separate rankings of 11 mammographic system configurations. In two of the methods, observers (three radiologists and three physicists) subjectively ranked the "image quality" of radiographs of phantoms obtained with each configuration. The third method ranked the systems according to contrast as measured densitometrically with an aluminum step wedge, and the fourth, in terms of lowest to highest mean glandular radiation doses to the breast. In the final method, observers based their rankings on mammograms of patients. The intra- and interobserver variabilities of each ranking method were assessed, as well as the correlations between methods, by using standard nonparametric statistical tests. Intraobserver consistency was high with any of the image quality ranking methods; however, image quality rankings based on either of the two phantoms provided better agreement among observers than did rankings based on images of patients. Surprisingly, no significant degree of correlation was found between any two image quality evaluation methods. Our work may have two implications for the American College of Radiology Mammography Accreditation Program: (1) small variations in phantom scores do not necessarily correlate with subjective variation in image quality in radiographs of patients, and (2) when small numbers of radiographs are used, the assessment of the quality of mammograms of patients may vary considerably among radiologists.

Case-control study of factors associated with failure to detect breast cancer by mammography.

BACKGROUND: Although mammography is widely used to detect breast cancer, it is recognized that not all cancers can be seen on mammographic images. PURPOSE: Our purpose was to examine factors associated with failure to detect breast cancer by mammography. METHODS: A case-control study was carried out in which subjects in whom histologically verified breast cancer was not detected by mammography (false negatives) were contrasted with subjects in whom breast cancer had been detected by mammography (true positives). Mammograms from individuals with histologically confirmed breast cancer were classified independently by two radiologists who were unaware of the clinical or other characteristics of the subjects. Histologic slides of all tumors were reviewed by one pathologist. RESULTS: Three variables were found to be independently and significantly associated with failure to detect breast cancer by mammography. Breast cancer was less likely to be detected by mammography in the presence of extensive parenchymal densities (odds ratio [OR] = 9; 95% confidence interval [CI] = 1.8-44.3), a tumor of lobular histology (OR = 7; 95% CI = 2.2-22.1), and tumors of small size (OR = 0.10; 95% CI = 0.0-0.9). CONCLUSION: Our results indicate that biologic factors are associated with failure to detect some breast cancers by mammography and indicate directions for future research in breast imaging.

Clinical performance of a cone/annular array ultrasound breast scanner.

Ultrasound is a useful adjunctive imaging modality to x-ray mammography for the detection and management of breast disease. A high resolution (0.3 mm at -6 dB) transducer consisting of co-axially aligned cone and annular array transducers has been incorporated into a prototype breast imaging system. The prototype scanner had an operating frequency of 4 MHz and scanning was performed in the prone position. We hypothesized that the increased resolution of this system would lead to improved detection of smaller, nonpalpable lesions and would thus contribute to the early detection of breast cancer. Results of a four year clinical study of the prototype involving 1743 patients are reported. The overall true positive (TP) fraction for the detection of malignancy was 52.5% compared with 86.6% for x-ray mammography. Improved performance of ultrasound approaching that of mammography is demonstrated for the youngest age group (less than 34 years) and for women whose breasts are predominantly dysplastic. However, the detection of nonpalpable tumours is disappointing with a TP fraction of only 22%. Causes for the failure of the prototype breast scanner to detect early breast lesions are presented and general conclusions on the use of large aperture transducers for automated breast imaging are discussed.

Plasma lipids in premenopausal women with mammographic dysplasia.

Epidemiological evidence indicates that mammographic dysplasia is associated with an increased risk of breast cancer, particularly in premenopausal women. To examine biochemical associations with mammographic dysplasia we have compared premenopausal women with different patterns of the breast parenchyma on mammography. One group had extensive radiological dysplasia (n = 30) and the other no dysplasia (n = 16). Both groups were recruited from mammographic units in the same way and then compared according to epidemiological risk factors, anthropometric measures, nutrient intake and plasma levels of oestradiol, progesterone and prolactin obtained in both follicular and luteal phases of the menstrual cycle as well as total plasma cholesterol and lipid fractions. Women with mammographic dysplasia were found to be leaner, more often nulliparous and to consume more alcohol than women without these radiological changes. Mammographic dysplasia and a family history of breast cancer were found to be independently associated with significantly higher levels of high density lipoprotein cholesterol (HDL-C) after taking into account the possible confounding effects of percentage body fat, parity and consumption of alcohol and dietary fat. Triglyceride levels were also independently associated with a family history of breast cancer. We conclude that further investigation is warranted of the role of plasma lipids in relation to breast cancer risk.

Clinical trial of low-fat, high-carbohydrate diet in subjects with mammographic dysplasia: report of early outcomes.

Despite evidence that dietary fat intake may influence breast cancer risk, there is little information about the effects of dietary fat on the human breast. We have studied the effects of dietary fat on the breast by examining the influence of dietary fat reduction on mammographic dysplasia (nodular or sheetlike areas of radiological density). Subjects with mammographic dysplasia were randomly allocated to a control group, in which they received advice about maintaining a balanced diet (36% of calories as fat), or an intervention group, in which they were taught to reduce dietary fat to a target of 15% of calories. A total of 295 patients consented to randomization, and after 1 year, 20% of the intervention group and 5% of the control group had dropped out (failed to keep appointments and provide nutrient data). The remaining patients closely adhered to the dietary goals of the study as assessed by food records, chemical analysis of duplicate meals, and serum cholesterol measurements. Comparison of mammograms before and after 1 year of dietary fat reduction shows no significant influence on the extent or density of mammographic dysplasia. Surgical biopsies performed in subjects after entry in the study showed five cancers in the control group and two cancers in the intervention group; this total of seven cancers is four times the number expected. These data show that clinical trials of the effects of dietary fat reduction on breast cancer risk are feasible and that long-term compliance with a low-fat diet can be achieved, and they confirm that the patients selected because they had mammographic dysplasia had increased risk of breast cancer.

Ultrasonographically defined parenchymal patterns of the breast: relationship to mammographic patterns and other risk factors for breast cancer.

We have used ultrasound of the breast to define four parenchymal patterns in which increasing proportions of the breast are replaced by densely echogenic tissue. A series of 452 symptomatic women examined by both ultrasound and conventional X-ray mammography was reviewed to determine whether these ultrasonographic images could predict the breast parenchymal pattern defined mammographically. A very strong correlation was demonstrated between the breast pattern on ultrasound and the volume of the breast replaced by either dysplasia (Kendall's tau-b = 0.731 +/- 0.026, p less than 0.0001) or ductal prominence (Kendall's tau-b = 0.641 +/- 0.049, p less than 0.0001). This was seen both on initial reporting and on a blind re-reading of a random sample of 100 cases. The strength of correlation was similar for subgroups defined by family history of breast cancer, age, menopausal status, and history of benign breast disease, and the breast parenchymal pattern assessed by mammography or ultrasound showed similar associations with these variables. Ultrasonographic parenchymal patterns of the breast can predict the tissue patterns defined mammographically and may therefore be useful as a marker of breast cancer risk.