Magnetic Resonance Imaging Features in Different Types of Invasive Breast Cancer: A Systematic Review of the Literature

Alaref, Amer; Hassan, Abdallah; Kandel, Rajan Sharma; Mishra, Rohi; Gautam, Jeevan; Jahan, Nusrat

doi:10.7759/cureus.13854

Cited by 8 publications

(6 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The correct identification of ductal and lobular carcinoma helps in the improved management and overall survival analysis of the patient. 22 , 23…”

Section: Discussionmentioning

confidence: 99%

“…The correct identification of ductal and lobular carcinoma helps in the improved management and overall survival analysis of the patient. 22,23 Previous studies have focused on differentiating benign and malignant lesions of the breast using radiomic models in MRI. [24][25][26] However, few studies have been conducted to differentiate invasive carcinomas of the breast, such as IDC and ILC, using RF from dynamic contrast sequences.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study

Maiti,

Nayak,

Hebbar

et al. 2024

F1000Res

View full text Add to dashboard Cite

Background Breast cancer (BC) is one of the main causes of cancer-related mortality among women. For clinical management to help patients survive longer and spend less time on treatment, early and precise cancer identification and differentiation of breast lesions are crucial. To investigate the accuracy of radiomic features (RF) extracted from dynamic contrast-enhanced Magnetic Resonance Imaging (DCE MRI) for differentiating invasive ductal carcinoma (IDC) from invasive lobular carcinoma (ILC). Methods This is a retrospective study. The IDC of 30 and ILC of 28 patients from Dukes breast cancer MRI data set of The Cancer Imaging Archive (TCIA), were included. The RF categories such as shape based, Gray level dependence matrix (GLDM), Gray level co-occurrence matrix (GLCM), First order, Gray level run length matrix (GLRLM), Gray level size zone matrix (GLSZM), NGTDM (Neighbouring gray tone difference matrix) were extracted from the DCE-MRI sequence using a 3D slicer. The maximum relevance and minimum redundancy (mRMR) was applied using Google Colab for identifying the top fifteen relevant radiomic features. The Mann-Whitney U test was performed to identify significant RF for differentiating IDC and ILC. Receiver Operating Characteristic (ROC) curve analysis was performed to ascertain the accuracy of RF in distinguishing between IDC and ILC. Results Ten DCE MRI-based RFs used in our study showed a significant difference (p <0.001) between IDC and ILC. We noticed that DCE RF, such as Gray level run length matrix (GLRLM) gray level variance (sensitivity (SN) 97.21%, specificity (SP) 96.2%, area under curve (AUC) 0.998), Gray level co-occurrence matrix (GLCM) difference average (SN 95.72%, SP 96.34%, AUC 0.983), GLCM interquartile range (SN 95.24%, SP 97.31%, AUC 0.968), had the strongest ability to differentiate IDC and ILC. Conclusions MRI-based RF derived from DCE sequences can be used in clinical settings to differentiate malignant lesions of the breast, such as IDC and ILC, without requiring intrusive procedures.

show abstract

“…The correct identification of ductal and lobular carcinoma helps in the improved management and overall survival analysis of the patient. 22 , 23…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study

Maiti,

Nayak,

Hebbar

et al. 2024

F1000Res

View full text Add to dashboard Cite

show abstract

“…The systematic review by Alaref et al found that the most typical morphologic feature in most invasive breast cancers is irregular margins in ILC and IDC, with ILC being slightly more likely to be positive for this feature than IDC. Overall, the morphologic profile of ILC was not significantly different from that of IDC [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Non-enhancing malignant lesions of the breast: A case report and review of literature

Zujić

Solocki-Matic²,

Klaric

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…However, the addition of DWI sequence and ADC mapping increases the specificity of DCE-MRI [ 8 ]. MRI had a sensitivity of 94–100% for the detection of invasive breast cancer [ 9 ]. MRI provides accurate visualization of retromammary space, axillae, chest wall and involvement of rib or sternum in the assessment of infiltrating breast cancers better than conventional breast imaging like USG and mammography, which implicates the patient management and subsequent prognosis [ 2 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Dynamic contrast-enhanced MRI and Apparent diffusion coefficient mapping in the characterization of Palpable breast lesions: A prospective observational study

Boruah,

Konwar,

Gogoi

et al. 2023

Egypt J Radiol Nucl Med

View full text Add to dashboard Cite

Background Breast MRI is the imaging modality of choice in patients with palpable breast lesions unequivocal on mammography and ultrasonography. This study aims to evaluate the role of dynamic contrast-enhanced MRI (DCE-MRI) and apparent diffusion coefficient mapping in the characterization and differentiation of various palpable breast lesions. This prospective observational study was conducted in a tertiary care hospital between July 2019 and June 2021. Sixty-six patients with palpable breast lesions were undergone MRI scans of the breasts. The various palpable breast lesions were categorized according to the 5th edition BI-RADS lexicon. The sensitivity of ADC mapping and DCE-MRI was determined for differentiation of various palpable breast lesions according to the BI-RADS category and gold standard histopathological findings. Results Of 66 patients with palpable breast lesions, 36 patients (54.5%) were benign and 30 patients (45.5%) were malignant lesions. Malignant palpable breast lesions had a mean ADC value of 0.939 ± 0.166[SD] × 10−3 mm2/s, and benign lesions had 1.891 ± 0.524[SD] × 10−3 mm2/s where unpaired Student t-test showed statistically significant difference of P value 0.0005. BI-RADS 2 lesions had a mean ADC value of 2.056 ± 0.471[SD] × 10−3 mm2/s, BI-RADS 3 had 1.314 ± 0.151[SD] × 10−3 mm2/s, BI-RADS 4 had 0.935 ± 0.119[SD] × 10−3 mm2/s, and BI-RADS 5 had 0.930 ± 0.943[SD] × 10−3 mm2/s. BI-RADS 2 category showed optimal cutoff mean ADC of 1.508 × 10−3 mm2/s with a sensitivity of 85.7% and specificity of 94.7%, BI-RADS 3 lesions had 1.208 × 10−3 mm2/s with a sensitivity of 75% and specificity of 55.2%, BI-RADS 4 lesions had 1.064 × 10−3 mm2/s with a sensitivity 80% and specificity of 67.9%, and BI-RADS 5 lesions had 1.013 × 10−3 mm2/s with a sensitivity of 80% and specificity of 82.6%. Conclusions Breast MRI is superior to the other imaging modalities for the characterization and differentiation of various palpable breast lesions. The combined use of ADC mapping and DCE-MRI had more sensitivity than conventional MRI, ADC mapping or DCE-MRI alone.

show abstract

Magnetic Resonance Imaging Features in Different Types of Invasive Breast Cancer: A Systematic Review of the Literature

Cited by 8 publications

References 22 publications

Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study

Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study

Non-enhancing malignant lesions of the breast: A case report and review of literature

Dynamic contrast-enhanced MRI and Apparent diffusion coefficient mapping in the characterization of Palpable breast lesions: A prospective observational study

Contact Info

Product

Resources

About