Increased ipsilateral whole breast vascularity as measured by contrast-enhanced magnetic resonance imaging in patients with breast cancer

Wright, Heather Harris; Listinsky, Jay J.; Quinn, Christine A.; Rim, Alice; Crowe, Joseph P.; Kim, Julian

doi:10.1016/j.amjsurg.2005.06.015

Cited by 26 publications

(31 citation statements)

References 29 publications

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“…MRI also enables assessment of ipsilateral vascularity as a whole and observation of increased vascularity in cancerbearing breasts, which could be used as a sign of malignancy [17][18][19]. Mahfouz et al [18] showed an association between breast cancer and a higher ipsilateral vascularity; however, the sensitivity and specificity of this sign for the diagnosis of malignancy were only 76.5% and 57%, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…These findings suggest that tumor size probably is not the key factor in the ipsilateral prevalence of increased breast vascularity; and other variables, such as angiogenic stimulation or biologic aggressiveness, could be the major cause of increased ipsilateral whole-breast vascularity [17,19]. However, in the present study, we graded vascularity on the basis of the number of vessels instead of the absence or presence of increased vascularity because the breast lesions of all our patients had already been proven to be malignant, and ipsilateral increased whole-breast vascularity was significantly related to the size of the invasive component.…”

Section: Mdct Of Whole-breast Vascularitymentioning

confidence: 97%

“…However, they could not compare the dimensions of cancers to ipsilateral increased vascularity because of the small number of false-negative cases [17]. Wright et al [19] also had difficulty making significant correlations between higher ipsilateral vascularity and infiltrating histology, multifocality, primary tumor size, or nodal status because of the small number of patients [19]. On the other hand, we found a clear correlation between the presence of increased ipsilateral vascularity and tumor size, regional lymph node status, cancer stage, and histologic grade.…”

Section: Mdct Of Whole-breast Vascularitymentioning

confidence: 99%

“…However, vascularity can increase not only within a breast cancer lesion but also in the ipsilateral breast as a whole. Recently, some studies have estimated whole-breast vascularity by laser Doppler perfusion imaging [15], PET [16], and MRI [17][18][19] and found an association between breast cancer and an ipsilateral increase of blood flow.Although contrast-enhanced CT of the breast has been used for assessment of axillary lymph node metastasis [20,21], diagnosis of local recurrence after breast-conserving surgery [22], or imaging intraductal extension of breast cancer preoperatively [23], it can also show tumor vascularity. Especially, MDCT can display high-quality angiographic images because of improved temporal and spatial resolution.…”

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confidence: 99%

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Correlation of Whole-Breast Vascularity with Ipsilateral Breast Cancers Using Contrast-Enhanced MDCT

Kang

Kim

et al. 2008

American Journal of Roentgenology

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ing tumor. However, vascularity can increase not only within a breast cancer lesion but also in the ipsilateral breast as a whole. Recently, some studies have estimated whole-breast vascularity by laser Doppler perfusion imaging [15], PET [16], and MRI [17][18][19] and found an association between breast cancer and an ipsilateral increase of blood flow.Although contrast-enhanced CT of the breast has been used for assessment of axillary lymph node metastasis [20,21], diagnosis of local recurrence after breast-conserving surgery [22], or imaging intraductal extension of breast cancer preoperatively [23], it can also show tumor vascularity. Especially, MDCT can display high-quality angiographic images because of improved temporal and spatial resolution. However, to the best of our knowledge, there has been no study on imaging vascularity of breast cancer using con- AJR 2008; 190:496-504 0361-803X/08/1902-496 © American Roentgen Ray Society A ngiogenesis (also known as neovascularization) is the formation of new capillaries from the existing vascular network [1]. Because vascular blood flow provides nutrients for tumor growth and a mechanism for hematogenous spread of malignant cells [2,3], tumor angiogenesis has been reported to be an independent prognostic indicator in breast cancer [4][5][6][7][8]. Although tumor vasculature has mostly been investigated by immunohistochemical methods using factor VIII staining of endothelial cells to determine microvessel density (MVD) [9,10], this invasive method is difficult to reproduce and standardize [11]. Many imaging angiogenesis methods in vivo have recently been developed, including color Doppler sonography [12] and contrast-enhanced MRI [13,14], and most of them have focused on measurement of angiogenesis in the immediate vicinity of the grow- OBJECTIVE. The purpose of our study was to assess the increase in whole-breast vascularity in patients with unilateral breast cancer and correlate that increase with prognostic factors of breast cancer. Wo m e n's I m ag i ng • O r ig i n a l R e s e a rc h MATERIALS AND METHODS.We performed 16-MDCT on 143 consecutive patients with histologically confirmed breast cancer. One hundred three of these 143 patients were finally enrolled in the study after exclusion of patients with bilateral breast cancer, previous history of neoadjuvant chemotherapy, breast surgery, or lack of surgical confirmation. Breast vascularity was assessed according to the number, length, and conspicuity of vessels on maximum-intensity-projection images. Increase of whole-breast vascularity of the cancer-bearing breast was categorized as not increased, mild, moderate, or prominent compared with the contralateral breast. Breast vascularity was then correlated to prognostic factors including tumor size, lymph node status, cancer stage, nuclear and histologic grade, presence of an extensive intraductal component, presence of hormone receptors, and expression of C-erb-B2.RESULTS. In 77 (74.8%) of 103 patients, breast cancers were found to be associated with i...

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Section: Discussionmentioning

confidence: 99%

Section: Mdct Of Whole-breast Vascularitymentioning

confidence: 97%

Section: Mdct Of Whole-breast Vascularitymentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Correlation of Whole-Breast Vascularity with Ipsilateral Breast Cancers Using Contrast-Enhanced MDCT

Kang

Kim

et al. 2008

American Journal of Roentgenology

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Algorithm‐based method for detection of blood vessels in breast MRI for development of computer‐aided diagnosis

Lin

Chen

Nie

et al. 2009

Magnetic Resonance Imaging

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Purpose: To develop a computer-based algorithm for detecting blood vessels that appear in breast dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI), and to evaluate the improvement in reducing the number of vascular pixels that are labeled by computer-aided diagnosis (CAD) systems as being suspicious of malignancy. Materials and Methods:The analysis was performed in 34 cases. The algorithm applied a filter bank based on wavelet transform and the Hessian matrix to detect linear structures as blood vessels on a two-dimensional maximum intensity projection (MIP). The vessels running perpendicular to the MIP plane were then detected based on the connectivity of enhanced pixels above a threshold. The nonvessel enhancements were determined and excluded based on their morphological properties, including those showing scattered small segment enhancements or nodular or planar clusters. The detected vessels were first converted to a vasculature skeleton by thinning and subsequently compared to the vascular track manually drawn by a radiologist. Results:When evaluating the performance of the algorithm in identifying vascular tissue, the correct-detection rate refers to pixels identified by both the algorithm and radiologist, while the incorrect-detection rate refers to pixels identified by only the algorithm, and the missed-detection rate refers to pixels identified only by the radiologist. From 34 analyzed cases the median correct-detection rate was 85.6% (mean 84.9% Ϯ 7.8%), the incorrect-detection rate was 13.1% (mean 15.1% Ϯ 7.8%), and the missed-detection rate was 19.2% (mean 21.3% Ϯ 12.8%). When detected vessels were excluded in the hot-spot color-coding of the CAD system, they could reduce the labeling of vascular vessels in 2.6%-68.6% of hotspot pixels (mean 16.6% Ϯ 15.9%). Conclusion:The computer algorithm-based method can detect most large vessels and provide an effective means in reducing the labeling of vascular pixels as suspicious on a DCE-MRI CAD system. This algorithm may improve the workflow of radiologists using CAD for image display, but will be particularly useful for development of automated CAD that gives diagnostic impression.

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Evaluation of the treatment response to neoadjuvant chemotherapy in locally advanced breast cancer using combined magnetic resonance vascular maps and apparent diffusion coefficient

Chang

Huang

et al. 2015

Magnetic Resonance Imaging

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Increased ipsilateral whole breast vascularity as measured by contrast-enhanced magnetic resonance imaging in patients with breast cancer

Cited by 26 publications

References 29 publications

Correlation of Whole-Breast Vascularity with Ipsilateral Breast Cancers Using Contrast-Enhanced MDCT

Correlation of Whole-Breast Vascularity with Ipsilateral Breast Cancers Using Contrast-Enhanced MDCT

Algorithm‐based method for detection of blood vessels in breast MRI for development of computer‐aided diagnosis

Evaluation of the treatment response to neoadjuvant chemotherapy in locally advanced breast cancer using combined magnetic resonance vascular maps and apparent diffusion coefficient

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