Skip to main content
Erschienen in: Journal of Digital Imaging 5/2011

01.10.2011

Characterizing the Clustered Microcalcifications on Mammograms to Predict the Pathological Classification and Grading: A Mathematical Modeling Approach

verfasst von: Yuan-Zhi Shao, Li-Zhi Liu, Meng-Jie Bie, Chan-chan Li, Yao-pan Wu, Xiao-ming Xie, Li Li

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 5/2011

Einloggen, um Zugang zu erhalten

Abstract

In this study, we explore a mathematical model to characterize the clustered microcalcifications on mammograms for predicting the pathological classification and grading. Our database consists of both retrospective cases (78 cases) and prospective cases (31 cases) with pathologically diagnosed clusters of microcalcifications on mammograms. The microcalcifications were divided into four grades: grade 0, benign breast disease including mastopathies (n = 12) and fibroadenomas (n = 20); grade 1, well-differentiated infiltrating ductal carcinoma (n = 12); grade 2, moderately differentiated infiltrating ductal carcinoma (n = 38); grade 3, poorly differentiated infiltrating ductal carcinoma (n = 27). A feature parameter, defined as the pattern form factor of microcalcification cluster θ by us, combines five computer-extracted image parameters of microcalcification clusters of those mammograms. In every case, only one imaging was selected for modeling analysis. A total of 109 imagings were adopted in current study. We find the existence of a positive relationship between the feature parameter θ and pathological grading G of microcalcifications in retrospective cases, which was expressed as G =6.438 + 1.186 ×Ln <θ>. The model above has been verified further by the prospective study with a comparative evaluation accuracy of approximately 77.42%. The binary predication simply for both benignancy and malignancy was also included using same but reshuffled data, and the receiver operating characteristic (ROC) analysis was performed with ROC value 0.74351∼0.79891. As one candidate for feature parameter in computer-aided diagnosis, the pattern form factor θ of clustered microcalcifications may be useful to predict the pathological grading and classification of microcalcification clusters on mammography in breast cancer.
Literatur
1.
Zurück zum Zitat Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM: Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer, 2010. doi:10.1002/ijc.25516 Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM: Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer, 2010. doi:10.​1002/​ijc.​25516
3.
5.
Zurück zum Zitat Fletcher SW, Elmore JG: Mammographic screening for breast cancer. N Engl J Med 348:1672–1680, 2003PubMedCrossRef Fletcher SW, Elmore JG: Mammographic screening for breast cancer. N Engl J Med 348:1672–1680, 2003PubMedCrossRef
6.
Zurück zum Zitat Elmore JG, Armstrong K, Lehman CD, Fletcher SW: Screening for breast cancer. JAMA 293:1245–1256, 2005PubMedCrossRef Elmore JG, Armstrong K, Lehman CD, Fletcher SW: Screening for breast cancer. JAMA 293:1245–1256, 2005PubMedCrossRef
7.
Zurück zum Zitat Jiang Y, Nishikawa RM, Wolverton DE: Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology 198:671–678, 1996PubMed Jiang Y, Nishikawa RM, Wolverton DE: Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology 198:671–678, 1996PubMed
8.
Zurück zum Zitat Chan HP, Sahiner B, Lam KL: Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. Med Phys 25:2007–2019, 1998PubMedCrossRef Chan HP, Sahiner B, Lam KL: Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces. Med Phys 25:2007–2019, 1998PubMedCrossRef
9.
Zurück zum Zitat Nakayama R, Uchiyama Y, Watanabe R, Katsuragawa S, Namba K, Doi K: Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms. Med Phys 31:789–799, 2004PubMedCrossRef Nakayama R, Uchiyama Y, Watanabe R, Katsuragawa S, Namba K, Doi K: Computer-aided diagnosis scheme for histological classification of clustered microcalcifications on magnification mammograms. Med Phys 31:789–799, 2004PubMedCrossRef
10.
Zurück zum Zitat Elston CW: The assessment of histological differentiation in breast cancer. Aust N Z J Surg 54:11–15, 1984PubMedCrossRef Elston CW: The assessment of histological differentiation in breast cancer. Aust N Z J Surg 54:11–15, 1984PubMedCrossRef
11.
Zurück zum Zitat Sickles EA: Breast calcifications: mammographic evaluation. Radiology 160:289–293, 1986PubMed Sickles EA: Breast calcifications: mammographic evaluation. Radiology 160:289–293, 1986PubMed
12.
Zurück zum Zitat Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K: Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol 6:22–33, 1999PubMedCrossRef Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K: Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol 6:22–33, 1999PubMedCrossRef
13.
Zurück zum Zitat Fondrinier E, Lorimier G, Guerin-Boblet V, Bertrand AF, Mayras C, Dauver N: Breast Microcalcifications: Multivariate Analysis of Radiologicand Clinical Factors for Carcinoma. World J Surg 26:290–296, 2002PubMedCrossRef Fondrinier E, Lorimier G, Guerin-Boblet V, Bertrand AF, Mayras C, Dauver N: Breast Microcalcifications: Multivariate Analysis of Radiologicand Clinical Factors for Carcinoma. World J Surg 26:290–296, 2002PubMedCrossRef
14.
Zurück zum Zitat Leichter I, Lederman R, Buchbinder S, Bamberger P, Novak B, Fields S: Optimizing parameters for computer-aided diagnosis of microcalcifications at mammography. Acad Radiol 7:406–412, 2000PubMedCrossRef Leichter I, Lederman R, Buchbinder S, Bamberger P, Novak B, Fields S: Optimizing parameters for computer-aided diagnosis of microcalcifications at mammography. Acad Radiol 7:406–412, 2000PubMedCrossRef
15.
Zurück zum Zitat Stomper PC, Connolly JL: Ductal carcinoma in situ of the breast: correlation between mammographic calcification and tumor subtype. AJR 159:483–485, 1992PubMed Stomper PC, Connolly JL: Ductal carcinoma in situ of the breast: correlation between mammographic calcification and tumor subtype. AJR 159:483–485, 1992PubMed
16.
Zurück zum Zitat Bloom HJG, Richardson WW: Histological grading and prognosis in breast cancer. Br J Cancer 11:359–377, 1957PubMedCrossRef Bloom HJG, Richardson WW: Histological grading and prognosis in breast cancer. Br J Cancer 11:359–377, 1957PubMedCrossRef
17.
Zurück zum Zitat Spiethoff A, Schenck A, Bohrer M: Relationship of DNA ploidy to hormone receptor status and proliferation in invasive breast carcinoma. J Cancer Res Clin Oncol 126:707–710, 2000PubMedCrossRef Spiethoff A, Schenck A, Bohrer M: Relationship of DNA ploidy to hormone receptor status and proliferation in invasive breast carcinoma. J Cancer Res Clin Oncol 126:707–710, 2000PubMedCrossRef
18.
Zurück zum Zitat Lee KS, Han BH, Chun YK, Kim HS, Kim EE: Correlation between mammographic manifestations and averaged histopathologic nuclear grade using prognosis-predict scoring system for the prognosis of ductal carcinoma in situ. Clin Imaging 23:339–346, 1999PubMedCrossRef Lee KS, Han BH, Chun YK, Kim HS, Kim EE: Correlation between mammographic manifestations and averaged histopathologic nuclear grade using prognosis-predict scoring system for the prognosis of ductal carcinoma in situ. Clin Imaging 23:339–346, 1999PubMedCrossRef
19.
Zurück zum Zitat Thurfjell MG, Lindgren A, Thurfjell E: Nonpalpable breast cancer: mammographic appearance as predictor of histologic type. Radiology 222:165–170, 2002PubMedCrossRef Thurfjell MG, Lindgren A, Thurfjell E: Nonpalpable breast cancer: mammographic appearance as predictor of histologic type. Radiology 222:165–170, 2002PubMedCrossRef
20.
Zurück zum Zitat Dinkel HP, Gassel AM, Tschammler A: Is the appearance of microcalcifications on mammography useful in predicting histological grade of malignancy in ductal carcinoma in situ? Br J Radiol 73:938–944, 2000PubMed Dinkel HP, Gassel AM, Tschammler A: Is the appearance of microcalcifications on mammography useful in predicting histological grade of malignancy in ductal carcinoma in situ? Br J Radiol 73:938–944, 2000PubMed
21.
Zurück zum Zitat Slanetz PJ, Giardino AA, Oyama T: Mammographic appearance of ductal carcinoma in situ does not reliably predict histologic subtype. Breast 7:417–421, 2001CrossRef Slanetz PJ, Giardino AA, Oyama T: Mammographic appearance of ductal carcinoma in situ does not reliably predict histologic subtype. Breast 7:417–421, 2001CrossRef
Metadaten
Titel
Characterizing the Clustered Microcalcifications on Mammograms to Predict the Pathological Classification and Grading: A Mathematical Modeling Approach
verfasst von
Yuan-Zhi Shao
Li-Zhi Liu
Meng-Jie Bie
Chan-chan Li
Yao-pan Wu
Xiao-ming Xie
Li Li
Publikationsdatum
01.10.2011
Verlag
Springer-Verlag
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 5/2011
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-011-9381-2

Weitere Artikel der Ausgabe 5/2011

Journal of Digital Imaging 5/2011 Zur Ausgabe

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.