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Breast Imaging |
1 From the Department of Oncology, Radiology and Clinical Immunology, Section of Radiology, Uppsala University Hospital, SE-751 85 Uppsala, Sweden (M.G.T., E.T.); and Department of Pathology and Cytology, Central Hospital, Falun, Sweden (A.L.). Received August 30, 2000; revision requested October 18; final revision received May 8, 2001; accepted June 5. Address correspondence to E.T. (e-mail: erik.thurfjell@radiol.uu.se).
| ABSTRACT |
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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.
Index terms: Breast neoplasms, calcifications, 00.81, 00.813 Breast neoplasms, diagnosis
| INTRODUCTION |
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Logistic regression has been used sparingly in the analysis of mammographic characteristics in nonpalpable breast lesions. Ciatto et al (5) analyzed the mammographic characteristics of 1,182 nonpalpable breast lesions, and 548 of them were malignant. They found that stellate opacities and those with irregular contours have a significantly increased risk of being malignant compared with masses with smooth contours and that microcalcifications were likewise significantly associated with malignancies but to a lesser degree. Harkins et al (8) investigated the mammographic characteristics and demographic risk factors in a series of patients with 471 nonpalpable breast lesions that included 132 malignancies. In this latter series, masses with irregular contours were significantly associated with malignancy, and two-thirds of these were ductal carcinoma in situ (DCIS). They also found that when masses were malignant, those with a smooth contour were invasive in four of five cases.
The purpose of this study was to investigate the mammographic characteristics of the different histologic types of preclinical breast cancer with logistic regression analysis and to determine the potential use of these characteristics in predicting the histologic diagnosis of nonpalpable breast cancer.
| MATERIALS AND METHODS |
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A total of 310 cancers had been prospectively examined by the pathologist (A.L.). The grading system for the invasive adenocarcinomas proposed by Elston and Ellis (10) was used. The cancers were histopathologically categorized as follows (2): DCIS nuclear grade 13; invasive ductal carcinoma (including tubular carcinoma) grade 13; and lobular carcinoma and a miscellaneous group including colloid, medullary, and adenoid cystic cancers. Three women had metachronous bilateral breast cancers. Two cytologically proved but histologically unverified cancers and one invasive cancer not investigated by the pathologist author were excluded. Thus, the study material consisted of 317 clinically nonpalpable breast cancers. However, seven cases of DCIS were excluded in the analysis of the predictability of the different grades of DCIS, since the tumors had not been examined by the pathologist author, and nuclear grading information was lacking.
One of the authors (M.G.T.) retrospectively reviewed the screening and diagnostic mammograms, including the magnification views, and radiographs of the specimens in these 317 breast cancers. The mammographic criteria described by Tabar and Dean (11) were used for mammographic classification. These criteria are translatable to the Breast Imaging Reporting and Data System, or BI-RADS, mammographic classification system of the American College of Radiology (12).
The malignant lesions were categorized as follows: spiculated masses, other lesions with well- or ill-defined margins, calcifications, spiculated mass with calcifications, and other lesions with calcifications. Classification of masses as spiculated was performed in a strict manner, with adherence to the definition of a spiculated mass as a central nidus with marginal spicules. The presence of only one or two spicules was not enough of a basis on which to classify a lesion as spiculated; these lesions and all irregular masses, round masses, architectural distortions, asymmetric densities, and neodensities were classified as other lesions.
Calcifications were further characterized on the basis of whether they were amorphous (powdery), pleomorphic (granular), or fine linear and branching (casting) (12). In cases where there were combined calcification morphologic features, the predominant pattern was recorded. When at least one fine linear or branching calcification was present, the calcification was classified as fine linear and branching. Only the calcifications that were within, at least partially straddling, or in the immediate vicinity of an associated noncalcified lesion were accounted for in the categorization of cases where there were combined findings. The largest diameter of the lesion was measured. In cases of spiculated masses, only the central solid nidus was measured, and the marginal spicules were excluded. Likewise, the calcifications in the immediate vicinity of an associated noncalcified lesion in a combined finding were included in the measurement.
To determine the predictability pattern of the different mammographic findings for a specific histologic diagnosis, logistic regression analysis with statistical software (STATVIEW 5; SAS Institute, Cary, NC) was performed. In the estimation of the odds ratio (OR), we used the histologic diagnoses as the explanatory (independent) variables and the mammographic findings as the outcome (dependent) variables. For the outcome variables, we chose one of the mammographic findings as the reference group for the other findings to determine their maximum likelihood of being used to predict a specific histologic diagnosis. Thus, the ORs represent the magnitude of the association between a specific histologic diagnosis and a specific mammographic finding, compared with the other mammographic findings combined, given that the histologic diagnosis was a malignancy.
| RESULTS |
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| DISCUSSION |
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It is possible that in some of our categorized cases with combined findings, one of the findings might have represented a benign tumor adjacent to a malignancy. For example, a spiculated mass could have represented a radial scar (18) in proximity to malignant calcifications. Likewise, calcifications representing a DCIS or a benign tumor could be adjacent to an invasive cancer manifesting as a noncalcified lesion or in some instances could have been a mammographically occult lesion.
Spiculated masses accounted for almost half of the nonpalpable malignant lesions in our study, which included a larger number of these masses than were included in other series. Approximately one of three cancers (29%36%) was a spiculated mass in three studies (13,16,17), and spiculated masses accounted for only 21% of cancers in a larger series (5). Among the invasive cancers in our series, both the invasive ductal and lobular carcinomas manifested as pure spiculated masses. Ciatto et al (5) likewise observed that tubular cancers were more significantly associated with stellate opacities than the average in their study. Our findings and those of Ciatto et al that nonpalpable spiculated masses were predominantly invasive cancers are contrary to the observations made by Harkins et al (8), who suggested that masses with irregular contour were predominantly DCIS.
In our series, we found that 25% of our cases manifested as calcifications, which is in concordance with findings of Rissanen et al (16) but lower than the 35%58% reported in other series (5,8,1315, 17,19). These differences are, most likely, largely due to the limitation of our cases to cancers treated with breast-conserving surgery, thus excluding cases with widespread DCIS. Another explanation may be that we found more spiculated cancers before they became palpable or that we missed some malignant calcifications.
The spiculated masses had a smaller median size compared with all other types of findings and a smaller ratio of lymph node metastasis than all other findings with the exception of the calcification group (Tables 1, 2). Therefore, we do not believe that the increased ratio of spiculated masses in our series can be attributed to initially missing small nonspiculated lesions and to detecting them subsequently when they acquired spicules. In earlier studies, such as that by Sickles (19) in which mammograms obtained in 19761984 were used, the ratio of spiculated masses was lower compared with that in our study. This difference probably can be explained in part by the progress in mammographic technique (20), since in our study, the mammograms were performed in 19881994 and were developed through the extended processing cycle. Our ratios of different mammographic findings agree with those in studies of breast cancer cohorts that were based on population-based screening, which included palpable and nonpalpable cancers (1,21).
We found that fine linear and branching calcifications were significantly associated with invasive ductal carcinoma grade 3 and DCIS. Likewise, Ciatto et al (5) reported that DCIS per se and invasive comedo cancers with an extensive intraductal component were associated with calcifications. Evans et al (22) attributed the presence of fine linear and branching calcifications representing DCIS to the detection of small grade 3 invasive cancers. The prognosis for patients with this group of invasive cancers is worse than for those with other types of invasive cancers smaller than 15 mm (23).
Amorphous (powdery) calcifications were primarily seen among the low-nuclear-grade DCIS in our study. Holland et al (2) described the amorphous calcifications among the solid type of well-differentiated DCIS. The pleomorphic (granular) pattern of calcifications did not demonstrate a significant predictable mammographic distribution among the cases of DCIS. Although pleomorphic calcifications were found in well-differentiated DCIS (3), they occurred more frequently among the intermediate- and high-nuclear-grade carcinomas (4). Stomper and Connolly (24) observed an overlap in the association of pleomorphic calcifications between the comedo and the noncomedo subtypes of DCIS, with an almost equal occurrence of 47% and 53%, respectively.
When logistic regression analysis is used, the choice of the reference group is an important factor in the analysis, and it must be determined with care. The reference group should be chosen so that the risk ORs make sense when the results are interpreted. We derived the dichotomized analysis of DCIS versus invasive cancer naturally. When we subcategorized the histologic diagnoses, we used several alternative reference groups but concluded that the reference groups noted in Tables 4 and 5 were the most reasonable to choose. However, we used different reference groups to show the association between different types of calcifications and malignant histologic diagnoses (Table 5), because of the limited number of invasive cancers in amorphous calcifications and the limited number of cases of invasive ductal carcinoma grade 1 associated with fine linear and branching calcifications.
To summarize, we established that the mammographic appearance was a predictor of histologic diagnosis in three of four nonpalpable breast cancers in this study. A spiculated mass without calcifications was very likely an invasive breast cancer, whereas calcifications were strongly associated with DCIS; invasive ductal carcinoma grade 3 was an important differential diagnosis when the calcifications were fine linear and branching. In Sweden, patients with a cytologically proved nonpalpable breast cancer that does not manifest as calcifications alone often undergo breast-conserving surgery with simultaneous axillary dissection after they provide informed consent. Our results indicate that this practice should be limited to spiculated masses without calcifications to reduce the number of unnecessary axillary dissections that are performed.
Although certain mammographic features of nonpalpable breast cancer are strongly predictive of specific histologic diagnoses, these features may not be sufficiently predictive to guide subsequent treatment decisions. The radiologist should continue to recommend tissue diagnosis as the standard whenever cancer treatment decisions must be made. Therefore, it is self-evident that histologic diagnosis (on the basis of percutaneous or surgical biopsy findings) usually is required to make proper decisions concerning cancer treatment.
| FOOTNOTES |
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Author contributions: Guarantors of integrity of entire study, M.G.T., E.T.; study concepts, E.T.; study design, M.G.T., E.T.; literature research, M.G.T., E.T.; clinical studies, M.G.T., E.T.; data acquisition and analysis/interpretation, M.G.T., A.L., E.T.; statistical analysis, E.T.; manuscript preparation and definition of intellectual content, M.G.T., E.T.; manuscript editing, M.G.T.; manuscript revision/review and final version approval, M.G.T., A.L., E.T.
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