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DOI:10.2214/AJR.06.0635
AJR 2007; 188:301-303
© American Roentgen Ray Society


Commentary

Wolfe Mammographic Parenchymal Patterns and Breast Cancer Risk

Edward A. Sickles1

1 Department of Radiology, Box 1667, University of California, San Francisco School of Medicine, San Francisco, CA 94143-1667.

Received May 12, 2006; accepted after revision July 17, 2006.

Each month the American Journal of Roentgenology will republish online one of the 100 most-cited articles from its first century. A corresponding commentary in the print journal by a contemporary radiologist will provide a current perspective. For a full list of these articles, see page 3 of the January 2006 issue of the AJR or go to www.ajronline.org.

Address correspondence to E. A. Sickles.

FOR YOUR INFORMATION

Each month the American Journal of Roentgenology will republish one of the 100 most-cited articles from its first century accompanied by commentary by a contemporary radiologist to provide a current perspective. For a full list of these articles see page 3 of the January 2006 issue of AJR or go to www.ajronline.org.

Keywords: breast cancer • mammography

John Wolfe's AJR publication in 1976 [1] of data on the association of mammographic parenchymal patterns with future breast cancer risk represented the culmination of almost 10 years of personal analysis [2-4]. In that 1976 article, Wolfe classified 6 years of mammography examinations (n = 7,214; case accrual, January 1967-January 1973) into four parenchymal-pattern categories that he devised empirically: N1, primarily fatty; P1, ≤ 25% prominent ducts; P2, > 25% prominent ducts; and DY, dense fibroglandular tissue.

Subsequent cancer diagnosis was determined by linking studied mammography examinations with the data stored in a regional tumor registry, reviewing institutional medical records, and using a questionnaire mailed to patients. Data analysis revealed a progressive increase in future cancer risk from N1 (lowest risk) to P1 (low risk) to P2 (high risk) to DY (highest risk) examinations. For the majority of studied examinations (n = 5,284), the highest risk (DY) category was associated with a 37 times higher future cancer risk than the lowest risk (N1) category.

Wolfe [1] also extrapolated the lifetime cancer risk for parenchymal pattern categories among women 40-59 years old, indicating that this risk was only 2% for the N1 category and 45% for the DY category (82% for the DY category in women 50-59 years old). Based on these calculations, he suggested that screening mammography programs might involve only women in the higher risk (P2 and DY) categories and that symptomatic women in the DY category should consider prophylactic subcutaneous mastectomy simply on the basis of this parenchymal pattern.

To place the 1976 Wolfe article [1] in proper perspective: It was published before the effectiveness of periodic mammographic screening had been widely accepted and at a time when there was concern that the presumed oncogenic risk of ionizing radiation imparted by mammography [5] might exceed the presumed benefit suggested by the early results of the first randomized controlled mammographic screening trial [6]. Consequently, in the Wolfe study most of the mammography involved patients who had signs or symptoms of breast disease (median age, approximately 47 years). These diagnostic examinations were limited to 90° lateral and craniocaudal views of each breast. Neither spot-compression nor magnification mammography techniques had been developed, scatter-reduction grids were not yet in use, what we now consider to be modern breast positioning and compression were not used, and breast sonography was not generally available. The technical advances inherent in modern mammography and sonography primarily augment the radiologist's ability to detect cancer in dense-breasted women [7-9].

Despite these technical advances, the sensitivity of mammography is still significantly reduced by increased breast density [10, 11] because of the masking of some tumors by dense fibroglandular tissue. The inclusion of such masked cancers among the future cancers in a risk assessment study inflates the estimate of risk, specifically the risk attributable to breast density. An effective method of reducing this masking bias is to exclude from study those cancers diagnosed within 2 years of mammography. Wolfe [1] excluded from study only those cancers diagnosed within 6 months of mammography. He did not have full access to clinical outcomes to report in detail on the interval between initial mammography and future cancer diagnosis, except that for a subset of 1,930 cases the mean and median intervals were 30 months and 32 months, respectively, with a range of 6-41 months. Thus, it is likely that approximately 40% of study cases involved intervals between 6 months and 2 years.

Therefore, the combination of a young, primarily symptomatic patient population, the choice of a 6-month exclusion interval, and the limited mammographic capability of the late 1960s and early 1970s made it likely that as many as 40% of the future cancers identified in the Wolfe study [1] actually represented undetected (masked) cancers, disproportionately so among the more densebreasted women. The net effect is that Wolfe overestimated future cancer risk to a substantial degree, leading him to what we now judge to be erroneous and unrealistic conclusions.

Even in 1976, clinical experience suggested to many radiologists that the Wolfe parenchymal patterns had a smaller effect on future breast cancer risk than Wolfe [1] reported. However, because John Wolfe was one of the most influential breast radiologists of his era, his article was taken seriously, it generated considerable controversy, and many follow-up studies were published to more precisely determine the magnitude of future cancer risk. Subsequently, as Wolfe's preferred technique of xeromammography was gradually replaced by screen-film mammography (which emphasized density differences in breast parenchyma rather than the visibility of prominent ducts), four categories of overall breast density replaced the four Wolfe parenchymal patterns as an index of parenchymal content.

The discovery of a significant relationship between increased breast density and decreased mammographic sensitivity in detecting cancer [10, 11] led to publication of another large series of articles, most of which appropriately cited the 1976 Wolfe article [1] as seminal to the understanding of the density-sensitivity association. Indeed, this association is why the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS) [12] recommends that every mammography report start with a description of breast density to inform the referring clinician about how the mammographic density of the patient may affect the sensitivity of the examination. More recently, another large series of published articles has now established a significant independent association between overall breast density and future breast cancer risk, albeit at a much lower magnitude (4-5 times increase) than the 37 times increase initially proposed by Wolfe for his parenchymal patterns [13, 14]. These several lines of scientific investigation (parenchymal patterns vs risk, overall density vs sensitivity, overall density vs risk) have accounted for 337 citations of the 1976 Wolfe article, placing it seventh among the 100 most frequently cited AJR articles [15].

Future work on the density-risk association is ongoing, including, but not limited to, development of quantitative methods to measure breast density as opposed to the subjective assessment of density currently provided in clinical practice [16-18] and attempts to identify specific genes responsible for dense breasts given the recent discovery of a heritable component to mammographic density [19]. Therefore, it is likely that the 1976 Wolfe article [1] will continue to be cited in many future publications.

The major purpose of the AJR in highlighting its previously published classic articles is to provide historical perspective to the important role radiology has played in medicine and in the management of specific diseases [15]; my previous comments should serve this purpose. However, a second stated purpose is to honor the authors of these classic articles [15]. So, even though the Wolfe mammographic parenchymal pattern classification has been replaced by breast density as an indicator of future cancer risk and we now understand that the magnitude of this risk is insufficient to justify Wolfe's proposal that screening mammography be limited to women in the higher-density categories, we should recognize the important contribution that John Wolfe [1] made in 1976 in leading the way, albeit indirectly, to our current knowledge on the subject. Eventually, mammographic density may be used to guide decisions concerning the supplementary use of nonmammographic imaging (sonography, MRI) for breast cancer screening, and mammographic density also may be used to guide decisions concerning primary chemoprevention of breast cancer.

Were John Wolfe still alive, I doubt that he would have selected the 1976 article on future breast cancer risk [1] as his most important contribution to medicine. Such are the vagaries of a selection process based solely on most frequent citation in subsequent articles. I believe that Wolfe's most important contribution to breast imaging was his major role in the development and popularization of the (now obsolete) technique of xeromammography at a pivotal time when its improved image quality and ease of use encouraged a critical mass of radiologists to provide and successfully promote the widespread use of mammography in the face of considerable and determined opposition. The many millions of women who already have undergone and who will continue to undergo mammography are the principal beneficiaries of Wolfe's work.

References

  1. Wolfe JN. Breast patterns as an index of risk for developing breast cancer. AJR 1976;126 : 1130-1139[Abstract]
  2. Wolfe JN. Mammography: ducts as a sole indicator of breast carcinoma. Radiology 1967;89 : 206-210
  3. Wolfe JN. A study of breast parenchyma by mammography in the normal woman and those with benign and malignant disease. Radiology 1967;89 : 210-215
  4. Wolfe JN. The prominent duct pattern as an indicator of cancer risk. Oncology 1969;23 : 149-158[CrossRef][Medline]
  5. Bailar JC 3rd. Mammography: a contrary view. Ann Intern Med 1976; 84:77 -84[CrossRef][Medline]
  6. Strax P, Venet L, Shapiro S. Value of mammography in reduction of mortality from breast cancer in mass screening. AJR1973; 117:686 -689[Abstract]
  7. Sickles EA, Weber WN. High-contrast mammography with a moving grid: assessment of clinical utility. AJR 1986;146 : 1137-1139[Abstract/Free Full Text]
  8. Leconte I, Feger C, Galant C, et al. Mammography and subsequent whole-breast sonography of nonpalpable breast cancers: the importance of radiologic breast density. AJR 2003;180 : 1675-1679[Abstract/Free Full Text]
  9. Pisano ED, Gatsonis C, Hendrick E, et al. Diagnostic performance of digital versus film mammography for breast-cancer screening. N Engl J Med 2005; 353:1773 -1783[Abstract/Free Full Text]
  10. Kerlikowske K, Grady D, Barclay J, Sickles EA, Ernster V. Effect of age, breast density, and family history on the sensitivity of first screening mammography. JAMA 1996;276 : 33-38[Abstract/Free Full Text]
  11. Carney PA, Miglioretti DL, Yankaskas BC, et al. Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med 2003; 138:168 -175[Abstract/Free Full Text]
  12. American College of Radiology (ACR). ACR breast imaging reporting and data system (BI-RADS). Reston, VA: American College of Radiology, 2003
  13. Boyd NF, Byng JW, Jong RA, et al. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst1995; 87:670 -675[Abstract/Free Full Text]
  14. Byrne C, Schairer C, Wolfe J, et al. Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst 1995; 87:1622 -1629[Abstract/Free Full Text]
  15. Bui-Mansfield LT. Top 100 cited AJR articles at the AJR's centennial. AJR 2006;186 : 3-6[Free Full Text]
  16. Pawluczyk O, Augustine BJ, Yaffe MJ, et al. A volumetric method for estimation of breast density on digitized screen-film mammograms. Med Phys 2003; 30:352 -364[CrossRef][Medline]
  17. Harvey JA, Bovbjerg VE. Quantitative assessment of mammographic breast density: relationship with breast cancer risk. Radiology 2004;230 : 29-41[Abstract/Free Full Text]
  18. Shepherd JA, Herve L, Landau J, Fan B, Kerlikowske K, Cummings SR. Novel use of single X-ray absorptiometry for measuring breast density. Technol Cancer Res Treat 2005;4 : 173-182[Medline]
  19. Boyd NF, Rommens JM, Vogt K, et al. Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol 2005; 6:798 -808[Medline]

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AJR 2006 186: 3-6. [Full Text]  




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