Correlation between mammographic manifestations and averaged histopathologic nuclear grade using prognosis-predict scoring system for the prognosis of ductal carcinoma in situ

Lee, Kyung-Sang; Han, Byoung-Hee; Chun, Yong Sung; Kim, Hy-Sook; Kim, E.Edmund

doi:10.1016/s0899-7071(00)00166-2

Cited by 16 publications

(10 citation statements)

References 17 publications

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“…The relationship between the histologic grade of DCIS and mammographic findings of calcification has been a subject of controversy. A few studies have shown a significant correlation (6,8). However, the histologic grade cannot be determined prospectively with any accuracy on the basis of the mammographic appearance of microcalcifications, because there is considerable overlap between the mammographic appearances of the different histologic subtypes (7,35).…”

Section: Microcalcifications and Histopathologic Gradementioning

confidence: 99%

“…Microcalcifications are the most frequent mammographic finding of DCIS, but this heterogeneous group of tumors also may produce other, less common features. Investigators in several studies have attempted to correlate mammographic findings with histopathologic findings or grades of DCIS (4)(5)(6)(7)(8). Although the exact relationship between histologic grades and mammographic findings of DCIS remains a subject of controversy, there is considerable overlap between histologic and mammographic features; therefore, an awareness of the results of these studies may be helpful not only for detecting DCIS but also for predicting its histologic features.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Radiologic-Pathologic Correlation of Ductal Carcinoma in Situ

Yamada¹,

Mori²,

Watanabe³

et al. 2010

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104

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Ductal carcinoma in situ (DCIS) accounts for 20%-25% of breast cancers detected at screening mammography. The lesions are diverse and commonly are classified on the basis of their mammographic features and histologic characteristics such as nuclear grade and presence or absence of necrosis. The most common mammographic finding in DCIS is microcalcifications, but a low-grade lesion without necrosis is less likely to manifest with calcifications than either an intermediate- or a high-grade lesion. Other mammographic findings might include a mass or architectural distortion. Magnetic resonance (MR) imaging has higher sensitivity than mammography for the detection of DCIS and greater accuracy for depicting the extent of disease. The MR imaging appearance of DCIS depends primarily on the presence and extent of abnormal periductal or stromal vascularity. Nonmasslike enhancement, the most common MR imaging finding, is often seen in association with clumped internal enhancement. The enhancement kinetics in dynamic MR studies vary, and no kinetic pattern is pathognomonic of a particular nuclear grade of DCIS. However, the kinetic pattern at delayed imaging does appear to be correlated with the mammographic findings: Mass lesions show strong washout; fine pleomorphic, fine linear, and fine linear-branching calcifications demonstrate a plateau enhancement pattern; and amorphous calcifications exhibit persistent enhancement. Multidetector computed tomography might be a useful adjunct to MR imaging for preoperative mapping.

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Section: Microcalcifications and Histopathologic Gradementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Radiologic-Pathologic Correlation of Ductal Carcinoma in Situ

Yamada¹,

Mori²,

Watanabe³

et al. 2010

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104

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“…This phenomenon is valid for both in situ and invasive lesions [30][31][32][33][34][35]. For the prognostication of this group of malignancy, particularly when the tumor is small in size so that they are only screen detected (less than 15 mm), it has been Breast Cancer Res Treat (2008) 110: 1-7 3 suggested that histologic grade and stage alone may not be reliable indicators for prognosis [36,37], and the presence of comedo necrosis may be an important prognostic factor for these small, tumors [35,37,38], albeit this group in general tends to behave better than larger tumors of the same grade.…”

Section: Linear or Branching Calcificationmentioning

confidence: 99%

Intermediate to highly suspicious calcification in breast lesions: a radio-pathologic correlation

Tse

Tan

Cheung

et al. 2007

Breast Cancer Res Treat

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Breast calcification is an important feature in the radiological assessment of breast lesions. There are well established diagnostic criteria basing on the morphology and distribution of the calcifications radiologically with recommendation protocols. Pathologically, calcifications in breast lesions are of dystrophic type, and may occur in either the secretory materials or necrotic debris, with inflammation and osteopontin being plausible mediators. Detection of calcium phosphate (hydroyapaptite) is considerably easier than calcium oxalate. Radiologically amorphous calcification represents a borderline type of calcification, and occurs in both benign and malignant (low grade) lesions, and warrants careful follow up and investigation. Clustering of calcification alone may not be an accurate predictor for malignancy, but when there are associated features like pleomorphism, branching, architectural distortion, and associated mass or density, the predictive value for malignant increases. Adequate sampling of calcification in the biopsy is crucial in the management of patients; in general, needle core biopsy or mammotome biopsy achieve satisfactory calcification retrieval. In a benign biopsy that fails to identify the calcifications visible in the mammography, further evaluation or cutting of the histologic block is recommended to minimize the potential of a false negative investigation.

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“…Lee et al demonstrated a good correlation between the nuclear grade of DCIS and the mammographic features [18]. Thurfjell et al revealed that Fig.…”

Section: Relationship Between the Feature Parameter And Histological mentioning

confidence: 99%

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

Shao¹,

Liu²,

Bie³

et al. 2011

J Digit Imaging

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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.

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Correlation between mammographic manifestations and averaged histopathologic nuclear grade using prognosis-predict scoring system for the prognosis of ductal carcinoma in situ

Cited by 16 publications

References 17 publications

Radiologic-Pathologic Correlation of Ductal Carcinoma in Situ

Radiologic-Pathologic Correlation of Ductal Carcinoma in Situ

Intermediate to highly suspicious calcification in breast lesions: a radio-pathologic correlation

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

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