Breast cancer in very young women (&lt;30 years): Correlation of imaging features with clinicopathological features and immunohistochemical subtypes

An, Yeong Yi; Kim, Sung Hun; Kang, Bong Joo; Park, Chang Suk; Jung, Na Young; Kim, Ji Youn

doi:10.1016/j.ejrad.2015.07.002

Cited by 27 publications

(28 citation statements)

References 26 publications

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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%

Breast cancer diagnosed before the 40 years: imaging findings and correlation with histology and molecular subtype

et al. 2017

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Background: To evaluate the imaging findings in patients with breast cancer diagnosed before age 40 and their correlation with histological type and molecular subtype. Methods: A descriptive, retrospective, single-center study was conducted by reviewing imaging exams and medical records, after approval of the institution's Ethics Review Board. Among the 120 patients studied, 112 (93.3%) had mammography, 113 (94.2%) underwent ultrasonography and 105 (87.5%) underwent breast magnetic resonance imaging (MRI). Histopathology data was performed in most cases after surgical resection, which was available for 113 patients (94.2%). Results: The mean age at diagnosis of primary breast cancer was 34 years. Most patients had no family history of breast cancer or ovarian cancer (60.7%), and were symptomatic at diagnosis (75.6%). The most common histological type was no-special type (NST) invasive carcinoma (73.8%). Regarding the molecular subtype, luminal B was the most common (42.6%), followed by triple negative (20.2%). The malignant tumor was identified in 92.9% of patients who underwent mammography, 96.5% of patients submitted to ultrasound and 98% of those who performed MRI. MRI was superior to other methods in the evaluation of multifocal and multicentric lesions. There was no statistically significant association between imaging findings and molecular subtypes in the present study. Conclusions: This study demonstrated that imaging methods play a fundamental role in the characterization of cases of breast cancer diagnosed in patients younger than 40 years. Despite the ultrasound has been the most widely used method, we found improved characterization of breast lesions when also used mammography and MRI.

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Section: Discussionsupporting

confidence: 47%

Breast cancer diagnosed before the 40 years: imaging findings and correlation with histology and molecular subtype

et al. 2017

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“…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%

“…Only three studies correlated IHC results and PET/CT imaging features, reporting an association between FDG uptake and Ki67 [117,119], FDG uptake and tumour size in TNBC [117] and higher SUVmax with triple-negative and HER2-positive tumours [118]. Three works focused on prediction studies combining IHC with MRI [113,115,116] or with PET [116]. …”

Section: Discussionmentioning

confidence: 99%

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Radiogenomic Analysis of Oncological Data: A Technical Survey

Incoronato

Aiello

Infante

et al. 2017

IJMS

108

106

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In the last few years, biomedical research has been boosted by the technological development of analytical instrumentation generating a large volume of data. Such information has increased in complexity from basic (i.e., blood samples) to extensive sets encompassing many aspects of a subject phenotype, and now rapidly extending into genetic and, more recently, radiomic information. Radiogenomics integrates both aspects, investigating the relationship between imaging features and gene expression. From a methodological point of view, radiogenomics takes advantage of non-conventional data analysis techniques that reveal meaningful information for decision-support in cancer diagnosis and treatment. This survey is aimed to review the state-of-the-art techniques employed in radiomics and genomics with special focus on analysis methods based on molecular and multimodal probes. The impact of single and combined techniques will be discussed in light of their suitability in correlation and predictive studies of specific oncologic diseases.

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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%

Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods

Patel

Puppala

Ogunti

et al. 2016

Cancer

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BACKGROUND: A key challenge to mining electronic health records for mammography research is the preponderance of unstructured narrative text, which strikingly limits usable output. The imaging characteristics of breast cancer subtypes have been described previously, but without standardization of parameters for data mining. METHODS: The authors searched the enterprise-wide data warehouse at the Houston Methodist Hospital, the Methodist Environment for Translational Enhancement and Outcomes Research (METEOR), for patients with Breast Imaging Reporting and Data System (BI-RADS) category 5 mammogram readings performed between January 2006 and May 2015 and an available pathology report. The authors developed natural language processing (NLP) software algorithms to automatically extract mammographic and pathologic findings from free text mammogram and pathology reports. The correlation between mammographic imaging features and breast cancer subtype was analyzed using one-way analysis of variance and the Fisher exact test. RESULTS: The NLP algorithm was able to obtain key characteristics for 543 patients who met the inclusion criteria. Patients with estrogen receptor-positive tumors were more likely to have spiculated margins (P 5.0008), and those with tumors that overexpressed human epidermal growth factor receptor 2 (HER2) were more likely to have heterogeneous and pleomorphic calcifications (P 5.0078 and P 5.0002, respectively). CONCLUSIONS: Mammographic imaging characteristics, obtained from an automated text search and the extraction of mammogram reports using NLP techniques, correlated with pathologic breast cancer subtype. The results of the current study validate previously reported trends assessed by manual data collection. Furthermore, NLP provides an automated means with which to scale up data extraction and analysis for clinical decision support.

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Breast cancer in very young women (<30 years): Correlation of imaging features with clinicopathological features and immunohistochemical subtypes

Cited by 27 publications

References 26 publications

Breast cancer diagnosed before the 40 years: imaging findings and correlation with histology and molecular subtype

Breast cancer diagnosed before the 40 years: imaging findings and correlation with histology and molecular subtype

Radiogenomic Analysis of Oncological Data: A Technical Survey

Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods

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