2015
DOI: 10.1016/j.ejrad.2015.07.002
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Breast cancer in very young women (<30 years): Correlation of imaging features with clinicopathological features and immunohistochemical subtypes

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Cited by 26 publications
(27 citation statements)
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References 26 publications
(37 reference statements)
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“…Despite there was no statistically significant difference in the imaging findings of molecular subtypes, we observed that the presence of calcifications at mammography was more common in HER2 subtype and oval/round mass at ultrasound was more common in triple-negative subtype, which was also described in previous studies [18,19].…”
Section: Discussionsupporting
confidence: 47%
“…Despite there was no statistically significant difference in the imaging findings of molecular subtypes, we observed that the presence of calcifications at mammography was more common in HER2 subtype and oval/round mass at ultrasound was more common in triple-negative subtype, which was also described in previous studies [18,19].…”
Section: Discussionsupporting
confidence: 47%
“…The election imaging method for Breast Cancer (BC) was MRI (78%) [91,97,103,104,105,106,107,108,109,110,111,112,113,114,115,116,120,121]. About 78% of the BC published papers were correlation studies [91,103,104,105,106,107,108,109,110,111,112,114,117,118,119,120,122,123] and the most used genomic data was IHC results (65%) [103,104,105,107,108,111,112,113,114,115,116,117,118,119,120].…”
Section: Discussionmentioning
confidence: 99%
“…About 78% of the BC published papers were correlation studies [91,103,104,105,106,107,108,109,110,111,112,114,117,118,119,120,122,123] and the most used genomic data was IHC results (65%) [103,104,105,107,108,111,112,113,114,115,116,117,118,119,120]. However, although IHC is routinely applied in the clinical practice, it is not an “omic” approach, remaining the elective method to determine the BC molecular subtypes (Luminal A, Luminal B, basal-like, and triple-negative (TNBC)), useful for therapeutic indications [154].…”
Section: Discussionmentioning
confidence: 99%
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“…19 Several retrospective studies and meta-analyses have described the associations between specific tumor subtypes and mammographic features by using manual record entry. [20][21][22][23][24][25][26][27] The purpose of the current study was to investigate the usefulness of data mining and NLP in defining the set of mammographic features correlated with the molecular subtypes of breast cancer in women with BI-RADS category 5 mammogram reports.…”
Section: Introductionmentioning
confidence: 99%