Prediction of the presence of invasive disease from the measurement of extent of malignant microcalcification on mammography and ductal carcinoma in situ grade at core biopsy

O’Flynn, Elizabeth; Morel, JC; González, J. Martínez; Dutt, Neelanjana; Evans, David; Wasan, Rema; Michell, MJ

doi:10.1016/j.crad.2008.08.007

Cited by 43 publications

(21 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies therefore defined subgroups of patients at a high risk of invasion in whom SLNB should be performed, e.g. patients undergoing mastectomy, patients with highgrade lesions, presence of a palpable mass, a mass on mammography, large tumour size or patients with DCIS diagnosed on core biopsy [7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

MRI of the breast in patients with DCIS to exclude the presence of invasive disease

et al. 2012

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

MRI of the breast in patients with DCIS to exclude the presence of invasive disease

et al. 2012

View full text Add to dashboard Cite

show abstract

“…In these cases, because an invasive ductal carcinoma can be found at the final pathological diagnosis after surgery: generally, this upstaging 7 represents about 16-20% of these cases, with variations from 11-13% (in cases of either T1 or G1 lesions) to 36-45%(in cases of extended or G3 lesions) [71][72][73][74][75][76][77][78].…”

Section: Surgical Treatmentmentioning

confidence: 99%

The management of ductal intraepithelial neoplasia (DIN): open controversies and guidelines of the Istituto Europeo di Oncologia (IEO), Milan, Italy

Farante

Zurrida

Galimberti

et al. 2010

Breast Cancer Res Treat

View full text Add to dashboard Cite

show abstract

“…Prior studies suggested relationships between outcomes of DCIS and histologic features from pathology reports [1, 5, 6, 27, 29] or BI-RADS mammographic features [5, 25–28]. Although not intended for the present task, those features nonetheless may have predictive value.…”

Section: Methodsmentioning

confidence: 99%

Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?

et al. 2017

View full text Add to dashboard Cite

Rationale and Objectives This study aimed to determine whether mammographic features assessed by radiologists and using computer algorithms are prognostic of occult invasive disease for patients showing ductal carcinoma in situ (DCIS) only in core biopsy. Materials and Methods In this retrospective study, we analyzed data from 99 subjects with DCIS (74 pure DCIS; 25 DCIS with occult invasion). We developed a computer-vision algorithm capable of extracting 113 features from magnification views in mammograms and combining these features to predict whether a DCIS case will be upstaged to invasive cancer at the time of definitive surgery. In comparison, we also built predictive models based on physician-interpreted features, which included histologic features extracted from biopsy reports and Breast Imaging Reporting and Data Systems (BI-RADS) related mammographic features assessed by two radiologists. The generalization performance was assessed using leave one out cross validation with the receiver operating characteristic (ROC) curve analysis. Results Using the computer-extracted mammographic features, the multivariate classifier was able to distinguish DCIS with occult invasion from pure DCIS, with an area under the curve for ROC (AUC-ROC) equal to 0.70 (95% CI: 0.59–0.81). The physician-interpreted features including histologic features and BI-RADS related mammographic features assessed by two radiologists showed mixed results, and only one radiologist’s subjective assessment was predictive, with AUC-ROC equal to 0.68 (95% CI: 0.57–0.81). Conclusion Predicting upstaging for DCIS based upon mammograms is challenging, and there exists significant inter-observer variability among radiologists. However, the proposed computer-extracted mammographic features are promising for the prediction of occult invasion in DCIS.

show abstract

Prediction of the presence of invasive disease from the measurement of extent of malignant microcalcification on mammography and ductal carcinoma in situ grade at core biopsy

Cited by 43 publications

References 19 publications

MRI of the breast in patients with DCIS to exclude the presence of invasive disease

MRI of the breast in patients with DCIS to exclude the presence of invasive disease

The management of ductal intraepithelial neoplasia (DIN): open controversies and guidelines of the Istituto Europeo di Oncologia (IEO), Milan, Italy

Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?

Contact Info

Product

Resources

About