AJR Custom publishing of AJR articles and ARRS Cat. Course
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kang, D. K.
Right arrow Articles by Jung, Y. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kang, D. K.
Right arrow Articles by Jung, Y. S.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Hotlight (NEW!)
Right arrow
What's Hotlight?
DOI:10.2214/AJR.07.2784
AJR 2008; 190:496-504
© American Roentgen Ray Society


Original Research

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

Doo Kyoung Kang1, Eun Jin Kim1, Ho Sung Kim1, Joo Sung Sun1 and Yong Sik Jung2

1 Department of Diagnostic Radiology, Ajou University School of Medicine, San 5, Wonchon-dong, Yeongtonggu, Suwon, Kyongi-do 442-721, South Korea.
2 Department of General Surgery, Ajou University School of Medicine, Suwon, Kyongi-do, South Korea.

Received June 26, 2007; accepted after revision August 3, 2007.

 
Address correspondence to D. K. Kang (kdklsm{at}ajou.ac.kr).


Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
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.

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 ipsilateral increased whole-breast vascularity. In the 77 patients with increased vascularity, prominent, moderate, and mild vascularity were shown in 21 (27.3%), 23 (29.9%), and 33 (42.9%) patients, respectively. Ipsilateral increased vascularity was related to tumor size, lymph node status, cancer stage, nuclear grade, and histologic grade. The presence of extensive intraductal component and hormone receptors and the expression of C-erb-B2 were not related to ipsilateral increased vascularity.

CONCLUSION. Breast cancers were found to be associated with ipsilateral increased whole-breast vascularity in a significant percentage of patients. Increased whole-breast vascularity indicated the growth and metastatic potential of a breast cancer.

Keywords: angiogenesis • breast cancer • CT • vascularity


Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Angiogenesis (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 [48]. 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 growing 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 [1719] 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 contrast-enhanced MDCT. The purpose of this study was to quantitatively evaluate ipsilateral whole-breast vascularity using MDCT in patients with unilateral breast cancer and correlate it with prognostic factors of breast cancer.


Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Patients
Between August 2003 and May 2007, 143 consecutive women with breast cancer diagnosed by percutaneous biopsy underwent MDCT. Considering radiation exposure, we carefully applied the indication for MDCT. We first restricted the application of MDCT only to preoperative patients with histologically proven breast cancer. The primary inclusion criterion for preoperative MDCT was a suspicion of regional lymph node or remote thoracic metastasis in advanced breast cancer patients in whom mastectomy was planned as treatment. Another important inclusion criterion was to evaluate the spread and local extent of breast cancer in patients for whom MRI was not available.

At our hospital during the study period, 655 patients were diagnosed with primary breast cancer by percutaneous or excisional biopsy. Only 143 of them underwent MDCT for preoperative evaluation, and most of remaining patients underwent breast MRI. With 40 patients excluded for bilateral breast cancer (n = 2), previous history of neoadjuvant chemotherapy (n = 7), previous breast surgery (n = 26), or lack of surgical confirmation (n = 5), 103 patients (age range, 22–79 years; mean age, 46.7 years) were finally included in the image analysis, and all of them underwent histopathologic examination of the breast lesion after breast-conserving surgery (n = 37) and mastectomy (n = 66). The lesions consisted of 88 invasive ductal carcinomas, not otherwise specified (NOS); four mucinous carcinomas; two medullary carcinomas; one metaplastic carcinoma; six ductal carcinoma in situ with microinvasion; and two pure ductal carcinoma in situ (DCIS) (Table 1). The study was approved by the ethics committee of our institution, and informed consent was obtained from all patients.


View this table:
[in this window]
[in a new window]

 
TABLE 1: Characteristics of Study Population (n = 103)

 

Imaging Studies
Mammograms were obtained from all patients using a DMR (GE Healthcare) mammography unit. Whole-breast sonography was performed for all patients using an Acuson Sequoia (Siemens Medical Solutions) sonography system with an 8-13–MHz linear array transducer at our institute. All sonographic examinations were performed by one breast radiologist. The mammograms and breast sonograms were interpreted by the same radiologist.

We used a 16-MDCT scanner (Somatom Sensation, Siemens Medical Solutions) with the following technical parameters: acquisition time, 420 ms/rotation; image matrix, 512 x 512; field of view, 35–38 cm; tube voltage, 100 kVp; tube current, 100 effective mA; 1.5-mm collimation; and pitch, 4. The volume CT dose index (CTDIvol) ranged from 3.1 to 4.5 mGy for each breath-hold acquisition. We scanned patients from the level of the lower neck to the lower edge of the lung. Three breath-hold acquisitions were obtained before and 90 seconds and 5 minutes after an IV rapid bolus administration of nonionic contrast material. We infused 100 mL of nonionic contrast material (iomeprol, 400 mg I/mL [Iomeron, Ilsung Pharmaceuticals]) at a rate of 3.0 mL/s. The data were reconstructed at 1.5-mm slice thickness and in 1-mm increments. All patients underwent MDCT in the supine position because it allows surgical simulation on 3D data displays. After reconstruction, the images were transferred to a workstation. Multiplanar reformation (axial, oblique coronal, and sagittal) and maximum-intensity-projection (MIP) images were used for evaluation of the tumors. Each multiplanar reformation image was created with a 3-mm slice thickness and a 2-mm increment. MIP images of the breast were generated, eliminating other structures such as bone and the pectoral muscles. The window level and width settings were adjusted freely on the PACS system (PIViewSTAR, version 5025, Infinitt). The ranges of the appropriate window width and level settings were 200–250 and 40–60 H, respectively, for evaluation of the breast.

Image Analysis
Two experienced independent radiologists, who were blinded to the clinical data and the final diagnosis, retrospectively evaluated and categorized whole-breast vascularity separately and in consensus. Image analysis was performed on MIP images obtained 90 seconds after injection of the contrast material because pronounced enhancement of the primary mass and vessels is usually seen in this time period [24]. According to a modification of Sardanelli's method [17], a category was assigned to each MIP image on the basis of the number of vessels seen and the length and conspicuity of the vessels. The number of vessels per breast that were 3 cm or greater in length and 2 mm or greater in maximal transverse diameter were counted. The degree of vascularity differences was classified as "prominent" if the number of vessels in the cancer-bearing breast was increased by three or more relative to those in the contralateral breast. If the number of vessels increased by two in the ipsilateral breast, the degree of vascularity was classified as "moderate"; if the number of vessels increased by one, it was classified as "mild"; and if the number of vessels in the ipsilateral breast was the same as or decreased relative to that of the contralateral breast, the degree was classified as "not increased." We also recorded whether perforating branches were arising from the internal mammary artery or the lateral thoracic artery.

Histopathologic Analysis
The whole specimen was thinly sliced and embedded in paraffin, and the sections stained with H and E in each case were reviewed by one experienced pathologist without knowledge of the results of the CT examination. The size of the tumor was generally estimated from pathologic gross descriptions and recorded with the largest cross-sectional dimension. However, if the microscopic tumor measurement of the largest dimension was substantially greater than the largest gross measurement or substantially smaller than the gross measurement, the microscopic measurement was used for staging. Because the pathologic determination of tumor size for the classification of T stage is a measurement of the invasive component, measurement of the invasive component exclusive of peripheral extensions of the intraductal component was recommended, whereas contiguous peripheral invasive elements were included in the measurement of tumor size.


Figure 1
View larger version (94K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 1A 67-year-old woman with invasive ductal carcinoma. Oblique coronal reconstruction image shows lobular mass (arrow) with spiculated margin and homogeneous internal enhancement in left breast.

 


Figure 2
View larger version (79K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 1B 67-year-old woman with invasive ductal carcinoma. On maximum-intensity-projection (MIP) image, three vessels (arrows) are counted in both breasts. As result, whole-breast vascularity in cancer-bearing breast is not increased compared with contralateral breast. Patient underwent total mastectomy and was diagnosed as having stage I (T1N0M0) cancer. Histopathology confirmed invasive ductal carcinoma with nuclear grade of 3 and histologic grade of 1.

 
We measured the size of the largest tumor when a multifocal or multicentric cancer was found. However, if invasive carcinoma was dispersed across the entire tumor diameter, the largest dimension from point to point across the entire invasive diameter was the measured tumor size. After the size measurement, the specimens were evaluated according to the following histopathologic features: histologic type of carcinoma; Black's nuclear grade (1, poorly differentiated; 2, moderately differentiated; and 3, well differentiated); modified Bloom-Richardson's histologic grade (1, well differentiated; 2, moderately differentiated; and 3, poorly differentiated), presence of extensive intraductal component (EIC); presence of hormone receptors (estrogen receptor [ER], progesterone receptor [PR], expression of C-erb-B2 oncogene), and N-stage status (presence and number of axillary lymph node metastases). The overall stage of cancer was classified according to the American Joint Committee on Cancer TNM staging of breast cancer [25].

Statistical Analysis
Microsoft Excel 2000 software was used for the data collection. First, interobserver variability was assessed by calculating the kappa value. The patient age of each categorized group with ipsilateral whole-breast vascularity was compared using one-way analysis of variance. Fisher's exact test was used for the evaluation of the relation between breast vascularity ipsilateral to the cancer and the BI-RADS descriptors or prognostic factors (T status, N status, cancer stage, and nuclear and histologic grades). The relations between breast vascularity ipsilateral to the cancer and presence of EIC or hormone receptors were evaluated using a chi-square test. All statistical analysis was performed on SPSS for Windows, release 13.0 (SPSS), with p < 0.05 considered to indicate a significant difference.


Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Ipsilateral Increased Vascularity in Cancer-Bearing Breasts
On MDCT, MIP images of the blood vessels of the breasts were clearly depicted in all cases. Two readers in consensus found carcinoma of the breast to be associated with ipsilateral increased vascularity in 77 patients (74.8%) and not associated with increased vascularity in 26 patients (including 25 patients with balanced vascularity and one with decreased vascularity) (Fig. 1A, 1B). Of the 77 patients with ipsilateral increased vascularity in the cancer-bearing breast, prominent, moderate, and mild vascularity were shown in 21 (27.3%), 23 (29.9%), and 33 (42.9%), respectively (Figs. 2A, 2B, 3A, 3B, 4A, 4B, 4C).


Figure 3
View larger version (80K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 2A 62-year-old woman with invasive ductal carcinoma. Oblique coronal reconstruction image shows round mass (arrow) with spiculated margin and heterogeneous internal enhancement in right breast.

 

Figure 4
View larger version (76K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 2B 62-year-old woman with invasive ductal carcinoma. On maximum-intensity-projection (MIP) image, two vessels (long arrows) in right breast and one vessel (short arrow) in left breast are counted. As result, cancer-bearing breast shows mild increased vascularity compared with contralateral breast. Patient underwent total mastectomy and was diagnosed as having stage I (T1N0M0) cancer. Histopathology confirmed invasive ductal carcinoma with nuclear grade of 3 and histologic grade of 1.

 

Figure 5
View larger version (65K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3A 48-year-old woman with invasive ductal carcinoma. Oblique coronal reconstruction image shows nonmasslike enhancement (arrows) with segmental distribution and homogeneous internal enhancement in right breast.

 

Figure 6
View larger version (72K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 3B 48-year-old woman with invasive ductal carcinoma. On maximum-intensity-projection (MIP) image, two vessels (short arrows) in right breast and four vessels (long arrows) in left breast are counted. As result, cancer-bearing breast shows moderate increased vascularity compared with contralateral breast. Patient underwent total mastectomy and was diagnosed as having stage IIB (T3N0M0) cancer. Histopathology confirmed invasive ductal carcinoma with nuclear grade of 1 and histologic grade of 3. Tumor is accompanied by extensive intraductal component.

 

Figure 7
View larger version (88K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 4A 57-year-old woman with invasive ductal carcinoma. Oblique coronal reconstruction images show irregularly shaped mass (short arrow) with spiculated margin and peripheral rim enhancement in left breast. There are multifocal satellite nodules (long arrows, B) around main tumor.

 

Figure 8
View larger version (111K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 4B 57-year-old woman with invasive ductal carcinoma. Oblique coronal reconstruction images show irregularly shaped mass (short arrow) with spiculated margin and peripheral rim enhancement in left breast. There are multifocal satellite nodules (long arrows, B) around main tumor.

 

Figure 9
View larger version (72K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 4C 57-year-old woman with invasive ductal carcinoma. On maximum-intensity-projection (MIP) image, one vessel (short arrow) in right breast and four vessels (long arrows) in left breast are counted. As result, cancer-bearing breast shows prominent increased vascularity compared with contralateral breast. There are multiple metastatic lymph nodes (arrowheads) at left axilla. Patient underwent total mastectomy and was diagnosed as having stage IIIC (T2N3M0) cancer. Histopathology confirmed invasive ductal carcinoma nuclear grade of 1 and histologic grade of 3. Tumor is accompanied by extensive intraductal component.

 
There was a good agreement between the observers, with a kappa value of 0.635. In 95 (92.2%) of 103 patients, all of the examiners agreed that whole-breast vascularity was clearly increased or not increased in the ipsilateral breast, with a kappa value of 0.755 (Table 2). Perforating arterial branches were arising from the ipsilateral internal mammary artery in 48 (46.6%) patients, from the lateral thoracic artery in 13 (12.6%) patients, and from both in 42 (40.8%) patients.


View this table:
[in this window]
[in a new window]

 
TABLE 2: Correlation Between Ipsilateral Increased Vascularity and BI-RADS Descriptors

 

Correlation Between Ipsilateral Increased Vascularity and BI-RADS Descriptors
MDCT showed the breast cancer in all cases. The CT finding of the main tumor in 88 (85.4%) patients was enhanced mass, and CT findings in the remaining 15 (14.6%) patients revealed a nonmasslike enhancement as a malignant tumor (Fig. 3A, 3B). In the patients who had findings that revealed nonmasslike enhancement, histopathology confirmed one DCIS, five DCIS with microinvasion, seven infiltrating ductal carcinoma (IDC) with EIC, and two IDC without EIC.

Of the 88 patients who had findings that revealed a mass, 41 cases (46.6%) showed irregular shape, 82 cases (93.2%) showed irregular or spiculated margin, and 34 cases (38.6%) showed rim enhancement (Fig. 4A, 4B, 4C). Of the 15 patients who had findings that revealed nonmasslike enhancement, 11 cases (73.3%) showed segmental distribution and eight cases (53.3%) showed clumped enhancement (Fig. 3A, 3B). The results of the analysis of ipsilateral increased breast vascularity versus BI-RADS descriptors are presented in Table 2. Ipsilateral increased vascularity did not relate to any BI-RADS descriptors.

Correlation Between Ipsilateral Increased Vascularity and Histopathologic Predictors
The results of the analysis of ipsilateral increased breast vascularity versus the histopathologic prognostic predictors are presented in Table 3. Two cases of DCIS were excluded from all the statistical analysis. Also, specific types of breast carcinoma and DCIS with microinvasion were excluded from the statistical analysis of ipsilateral whole-breast vascularity versus nuclear and histologic grade.


View this table:
[in this window]
[in a new window]

 
TABLE 3: Correlation Between Ipsilateral Increased Vascularity and Histopathologic Predictors

 

The mean maximum diameter of 101 invasive cancers was 28.8 ± 18.0 mm, ranging from 0.3 to 90 mm. There were 11 cases of minimal breast cancers: six cases of DCIS with microinvasion and five cases of invasive cancer (< 1 cm in dimension). Ipsilateral increased vascularities were detected in eight (72.7%) of 11 minimal cancers and in 67 (74.4%) of 90 nonminimal cancers, and there was no significant difference between the two groups (p = 0.091).

Ipsilateral prominent increased vascularity was detected in two (5.0%) of stage T1 (n = 40) versus two (66.7%) of T4 (n = 3), six (13.6%) of N0 (n = 44) versus eight (50.0%) of N3 (n = 16), one (3.7%) of stage I (n = 27) versus 10 (34.5%) of stage III (n = 29), five (12.8%) of nuclear grade 1 (n = 39) versus none of nuclear grade 3 (n = 9), and none of histologic grade 1 (n = 13) versus 16 (35.6%) of histologic grade 3 (n = 45) (Fig. 5A, 5B, 5C, 5D, 5E). Ipsilateral increased vascularity was related to T stage of tumor (p = 0.009), lymph node status (p = 0.003), cancer stage (p = 0.001), nuclear grade (p = 0.046), and histologic grade (p = 0.008). However, the presence of EIC and hormone receptors, and expression of C-erb-B2 oncogene, was not related to ipsilateral increased vascularity.


Figure 10
View larger version (16K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5A Distribution of whole-breast vascularity (percentage of corresponding women) in cancer-bearing breast corresponding to each prognostic factor. Graphs show T stage (A), N stage (B), cancer stage (C), nuclear grade (D), and histologic grade (E). Ipsilateral increased vascularity correlated to the T stage of tumor (p = 0.009), N stage (p = 0.003), cancer stage (p = 0.001), nuclear grade (p = 0.046), and histologic grade (p = 0.008).

 

Figure 11
View larger version (17K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5B Distribution of whole-breast vascularity (percentage of corresponding women) in cancer-bearing breast corresponding to each prognostic factor. Graphs show T stage (A), N stage (B), cancer stage (C), nuclear grade (D), and histologic grade (E). Ipsilateral increased vascularity correlated to the T stage of tumor (p = 0.009), N stage (p = 0.003), cancer stage (p = 0.001), nuclear grade (p = 0.046), and histologic grade (p = 0.008).

 

Figure 12
View larger version (16K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5C Distribution of whole-breast vascularity (percentage of corresponding women) in cancer-bearing breast corresponding to each prognostic factor. Graphs show T stage (A), N stage (B), cancer stage (C), nuclear grade (D), and histologic grade (E). Ipsilateral increased vascularity correlated to the T stage of tumor (p = 0.009), N stage (p = 0.003), cancer stage (p = 0.001), nuclear grade (p = 0.046), and histologic grade (p = 0.008).

 

Figure 13
View larger version (16K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5D Distribution of whole-breast vascularity (percentage of corresponding women) in cancer-bearing breast corresponding to each prognostic factor. Graphs show T stage (A), N stage (B), cancer stage (C), nuclear grade (D), and histologic grade (E). Ipsilateral increased vascularity correlated to the T stage of tumor (p = 0.009), N stage (p = 0.003), cancer stage (p = 0.001), nuclear grade (p = 0.046), and histologic grade (p = 0.008).

 

Figure 14
View larger version (16K):
[in this window]
[in a new window]
[as a PowerPoint slide]
 
Fig. 5E Distribution of whole-breast vascularity (percentage of corresponding women) in cancer-bearing breast corresponding to each prognostic factor. Graphs show T stage (A), N stage (B), cancer stage (C), nuclear grade (D), and histologic grade (E). Ipsilateral increased vascularity correlated to the T stage of tumor (p = 0.009), N stage (p = 0.003), cancer stage (p = 0.001), nuclear grade (p = 0.046), and histologic grade (p = 0.008).

 


Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Angiogenesis, the production of new blood vessels within tumors, is an essential process for sustaining tumor growth and metastasis. The increased vascularity of the breast in association with cancer may be attributed to reduced flow resistance in the tumor vessels, the high metabolic demand of the tumor, angiogenic stimulation of the whole breast, or a combination of these factors [17]. Angiogenesis is histopathologically evaluated in terms of tumoral MVD, which is measured by immunohistochemical methods using factor VIII staining of endothelial cells or CD31 antigen staining [2, 9], and MVD has been shown to be predictive of metastasis either in axillary lymph nodes or at distant sites (or both) in patients with invasive breast carcinoma—that is, the higher the MVD, the more likely the tumors are to metastasize [2, 3]. However, the measurement of MVD requires an invasive procedure, either biopsy or surgical excision, and is limited because of a random sampling error secondary to intratumoral heterogeneity [8, 9]. Therefore, it would be important to develop a simple and noninvasive in vivo technique to measure angiogenesis.

Dynamic contrast-enhanced MRI has been used to examine microcirculation in malignant tumors [57]. MRI also enables assessment of ipsilateral vascularity as a whole and observation of increased vascularity in cancer-bearing breasts, which could be used as a sign of malignancy [1719]. 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. Sardanelli et al. [17] suggest that vascular asymmetry could be considered a potential MRI sign of invasive breast cancer, with sensitivity and specificity of 88% and 82%, respectively. On the other hand, MDCT has recently been improved to acquire high-quality angiographic images because of faster scanning, wider area of coverage, and higher resolution of the volume data.

Similar to MRI, MIP images on MDCT obtained by postprocessing reveal not only the presence of enhancing lesions but also the angiographic vascular map of vessels within the breast. Importantly, the acquisition time for MDCT of the breast is usually within 10 seconds. This time resolution is extremely suitable for angiographic evaluation. Therefore, CT could be an excellent alternative, particularly in the presence of MRI contraindications. Furthermore, MDCT has some advantages [2527]: The patient can be supine, thus allowing surgical simulation for breast conservation using a 3D display; MDCT permits access to the lung, thoracic wall, lymph nodes, liver, and bones in a single study and simultaneous scanning of both breasts, which allows comparison of the affected breast with the contralateral breast; and MDCT allows an easier approach to imaging-guided needle aspiration and hookwire localization. In addition, because the surrounding fat appears as low density, iodinated contrast enhancement of the breast tumor is easily recognized with proper window width and level settings without using a subtraction technique or fat suppression [27].

The comparison of the vascularity of breasts in our study was a quantitative procedure and revealed an acceptable level of interobserver variability. Nevertheless, there was considerable disagreement between the two observers. This was most likely due to difficulty of counting the vessels. When two or more vessels branched off from one main vessel or they were connected and networked with others, it was practically impossible to count the exact vessel number. Therefore, more objective quantitative criteria should be established in the future.

The present results showed that malignant breast neoplasms are associated with a higher ipsilateral vascularity in a significant percentage (74.8%) of patients. However, we could not show the specificity and accuracy because our study population included only patients with biopsy-proven breast cancer. Although ipsilateral increased vascularity is frequently associated with ipsilateral invasive breast cancer, the question of whether this finding is clinically valuable remains largely unanswered. Indeed, intermediate sensitivity and specificity, which have been described in earlier MRI studies, make it less reliable in individual patients [17, 18]. Therefore, additional study should be focused on differentiation of benign breast lesions or no lesions.

MDCT has the advantage of simultaneously depicting vessels and enhancing lesions, making it possible to assess their spatial relationship to each other. Many signs of malignancy have been described by CT of the breast. Inoue et al. [26] first reported the diagnostic features of breast cancer on MDCT, and they included irregular margins, irregular shape, and rim enhancement. Other findings on CT suggestive of malignancy included thickening of overlying skin, presence of axillary lymph node enlargement, invasion of the pectoralis muscle, and pleural effusion [28]. In the present study, all 88 cases (100%) with a mass had at least one or more of these findings of malignancy, and the most sensitive (93.2%) descriptor for malignancy was irregular or spiculated margins. Therefore, further studies are necessary to determine whether the combination of breast vascularity and traditional criteria should be used to increase specificity for detection of breast cancer.

To our best knowledge, few reports exist on the relationship between whole-breast vascularity and traditional prognostic factors. Sardanelli et al. [17] suggest that the dimension of cancer is probably not the key factor in the ipsilateral prevalence of increased breast vascularity. 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.

Considering tumor size, ipsilateral increased vascularities of minimal cancers were detected in 72.7% of cases, which did not significantly differ from 74.4% in nonminimal cancers (p = 0.091). 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. Furthermore, our study population showed a relatively large size of cancers, with a mean diameter of 28 mm, because of our inclusion criteria, although the tumor diameter was normally distributed. Therefore, only 11 cases with minimal breast cancer were included in this study. The relationship between tumor size and increased vascularity should further be pursued with a large population of patients with minimal breast cancer [29].

The breast is supplied by the internal and lateral thoracic arteries; however, the internal thoracic artery supplies a larger volume of the breast than does the lateral thoracic artery [7, 8]. Furthermore, tumor vascular mapping also has therapeutic implications, particularly in patients who receive agents that target tumor-induced angiogenesis: In intraarterial chemotherapy, it is essential to accurately identify a feeding artery of the tumor. In the present study, although considerable cases were supplied from both internal and lateral thoracic arteries, most cases were supplied from the internal thoracic artery rather than the lateral thoracic artery (46.5% vs 12.6%).

The greatest disadvantage of CT is the exposure of the breast to radiation. Therefore, we restricted the application of breast CT to preoperative patients who had cytologically or histologically proven breast cancer. Then, to reduce the total radiation dose, we restricted the examination to only three phases. Furthermore, MDCT offers an opportunity to obtain excellent images at a reduced exposure with the selection of mA and pitch. In our study, the total calculated radiation dose of one CT examination ranged from 9.5 to 13.5 mGy because the CTDIvol ranged from 3.1 to 4.5 mGy for each breath-hold acquisition. The radiation dose of our technique was markedly lower than that of previous studies [26, 30], although it was three to four times higher than that received during standard two-view mammography.

The dose is expected to be reduced further with the introduction of better methods of using MDCT [24]. Boone et al. [31] showed that 80-kVp breast CT was comparable in dose with two-view mammography of 5-cm breasts using their own special table and CT method. Nevertheless, the use of CT for breast cancer imaging should be avoided as much as possible in clinical practice. The risk of contralateral cancer is already greatly increased for women who have had a breast cancer. From such a perspective, the use of breast CT in a clinical setting should be restricted to patients who cannot undergo MRI because of contraindications such as pacemakers or serious claustrophobia.

Several limitations of our study should be taken into account. First, we could not differentiate malignant from benign lesions using the difference of vascularity in the whole breast because our study population consisted of women who had biopsy-proven breast cancer. At present, CT is not the study of choice to evaluate specific breast lesions. Therefore, MDCT is not generally performed at our institute to differentiate malignant from benign breast lesions. Second, our series included a small number of patients with pure DCIS. Therefore, we could not evaluate the difference in vascularity between invasive cancer and noninvasive cancer, which is known to have reduced angiogenesis compared with invasive carcinoma [32]. However, a total of eight cases of DCIS with microinvasion were included in the present study, and six (75%) of them revealed ipsilateral increased vascularity. Additional work should be focused not only on patients with invasive cancer but also on patients with in situ cancers. The third limitation of this study is that the evaluation of whole-breast vascularity was performed without masking the enhancing lesions. Although this may introduce bias in terms of assessment of side-based prevalence of vascularity when the vascular asymmetry was near the cutoff point, it should be noted that the evaluation procedure was similar to that performed daily in routine clinical practice.

In conclusion, our experience revealed that MDCT made it possible to obtain high-quality vascular maps of the breast. Breast cancer was found to be associated with an ipsilateral increased vascularity in a significant percentage of patients. There was a statistically significant association between ipsilateral increased vascularity and the prognostic factors of tumor size, regional lymph node metastasis, cancer stage, nuclear grade, and histologic grade.


References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Folkman J. What is the evidence that tumors are angiogenesis dependent? J Natl Cancer Inst 1990;82 : 4–6[Free Full Text]
  2. Weidner N, Semple JP, Welch WR, et al. Tumor angiogenesis and metastasis: correlation in invasive breast carcinoma. N Engl J Med 1991; 324:1 –8[Abstract]
  3. Chu JS, Lee WJ, Chang TC, Chang KJ, Hsu HC. Correlation between tumor angiogenesis and metastasis in breast cancer. J Formos Med Assoc 1995; 94:373 –378[Medline]
  4. Weidner N, Folkman J, Pozza F, et al. Tumor angiogenesis: a new significant and independent prognostic indicator in early-stage breast carcinoma. J Natl Cancer Inst 1992;84 :1875 –1887[Abstract/Free Full Text]
  5. Toi M, Kashitani J, Tominaga T. Tumor angiogenesis is an independent prognostic indicator of primary breast carcinoma. Int J Cancer 1993; 55:371 –374[Medline]
  6. Obermair A, Czerwenka K, Kurz C, et al. Influence of tumoral microvessel density on the recurrence-free survival in human breast cancer: preliminary results. Onkologie 1994;17 : 44–49[Medline]
  7. Miliaras D, Kamas A, Kalekou H. Angiogenesis in invasive breast carcinoma: is it associated with parameters of prognostic significance? Histopathology 1995;26 : 165–169[Medline]
  8. Axelsson K, Ljung BME, Moore DH, et al. Tumor angiogenesis as a prognostic assay for invasive ductal carcinoma. J Natl Cancer Inst 1995; 87:997 –1008[Abstract/Free Full Text]
  9. Weidner N. Intratumor microvessel density as a prognostic factor in cancer. Am J Pathol 1995;147 : 9–19[Medline]
  10. Weidner N, Folkman J. Tumoral vascularity as a prognostic factor in cancer. In: Vita VTD, Rosenberg SA, eds. Important advances in oncology, vol. 11 Philadelphia, PA: Lippincott-Raven, 1996:167 –190
  11. Ahlgren J, Risberg B, Villman K, et al. Angiogenesis in invasive breast carcinoma: a prospective study of tumour heterogeneity. Eur J Cancer 2002; 38:64 –69[CrossRef][Medline]
  12. Yang WT, Tse GMK, Lam PKW, et al. Correlation between color power Doppler sonographic measurement of breast tumor vasculature and immunohistochemical analysis of microvessel density for the quantitation of angiogenesis. J Ultrasound Med 2002;21 :1227 –1235[Abstract/Free Full Text]
  13. Stomper PC, Winston JS, Herman S, et al. Angiogenesis and dynamic MR imaging gadolinium enhancement of malignant and benign breast lesions. Breast Cancer Res Treat 1997;45 : 39–46[CrossRef][Medline]
  14. Fischer DR, Malich A, Wurdinger S, Boettcher J, Dietzel M, Kaiser WA. The adjacent vessel on dynamic contrast-enhanced breast MRI. AJR 2006; 187:147 –151[CrossRef]
  15. Seifalian AM, Chaloupka K, Parbhoo SP. Laser Doppler perfusion imaging: a new technique for measuring breast skin blood flow. Int J Microcirc Clin Exp 1995;15 : 125–130[Medline]
  16. Wilson CB, Lammertsma AA, McKenzie CG, Sikora K, Jones T. Measurements of blood flow and exchanging water space in breast tumors using positron emission tomography: a rapid and noninvasive dynamic method. Cancer Res 1992;52 :1592 –1597[Abstract/Free Full Text]
  17. Sardanelli F, Iozzelli A, Fausto A, Carriero A, Kirchin MA. Gadobenate dimeglumine–enhanced MR imaging breast vascular maps: association between invasive cancer and ipsilateral increased vascularity. Radiology 2005;235 : 791–797[Abstract/Free Full Text]
  18. Mahfouz AE, Sherif H, Saad A, et al. Gadolinium-enhanced MR angiography of the breast: is breast cancer associated with ipsilateral higher vascularity? Eur Radiol 2001;11 : 965–969[CrossRef][Medline]
  19. Wright H, Listinsky J, Quinn C, et al. Increased ipsilateral whole breast vascularity as measured by contrast-enhanced magnetic resonance imaging in patients with breast cancer. Am J Surg2005; 190:576 –579[CrossRef][Medline]
  20. March DE, Wechsler RJ, Kurtz AB, et al. CT–pathologic correlation of axillary lymph nodes in breast carcinoma. J Comput Assist Tomogr 1991; 15:440 –444[Medline]
  21. Miyauchi M, Yamamoto N, I Manaka N, Matsumoto M. Computed tomography for preoperative evaluation of axillary nodal status in breast cancer. Breast Cancer 1999;25 : 243–248
  22. Hagay C, Cherel PJ, de Maulmont CE, et al. Contrast-enhanced CT: value for diagnosing local breast cancer recurrence after conservative treatment. Radiology 1996;200 : 631–638[Abstract/Free Full Text]
  23. Akashi-Tanaka S, Fukutomi T, Miyakawa K, et al. Contrast-enhanced computed tomography for diagnosing the intraductal component and small invasive foci of breast cancer. Breast Cancer2001; 8:10 –15[Medline]
  24. Seo BK, Pisano ED, Cho KR, Cho PK, Lee JY, Kim SJ. Low-dose multidetector dynamic CT in the breast: preliminary study. Clin Imaging 2005; 29:172 –178[CrossRef][Medline]
  25. Greene F, Page D, Fleming I, et al., eds. AJCC cancer staging manual, 6th ed. New York, NY: Springer,2002
  26. Inoue M, Sano T, Watai R, et al. Dynamic multidetector CT of breast tumors: diagnostic features and comparison with conventional techniques. AJR 2003; 181:679 –986[Abstract/Free Full Text]
  27. Takase K, Furuta A, Harada N, et al. Assessing the extent of breast cancer using multidetector row helical computed tomography. J Comput Assist Tomogr 2006;30 : 479–485[CrossRef][Medline]
  28. Muller JW, van Waes PF, Koehler PR. Computed tomography of breast lesions: comparison with X-ray mammography. J Comput Assist Tomogr 1983; 7:650 –654[Medline]
  29. Sardanelli F, Fausto A. Computed tomography in breast cancer imaging? (reply to letter) Surgery 2003;134 : 844[CrossRef][Medline]
  30. Miyake K, Hayakawa K, Nishino M, et al. Benign or malignant? Differentiating breast lesions with computed tomography attenuation values on dynamic computed tomography mammography. J Comput Assist Tomogr 2005; 29:772 –779[CrossRef][Medline]
  31. Boone JM, Nelson TR, Lindfors KK, Seibert JA. Dedicated breast CT: radiation dose and image quality evaluation. Radiology2001; 221:657 –667[Abstract/Free Full Text]
  32. Kuhl CK. MRI of breast tumors. Eur Radiol2000; 10:46 –58[CrossRef][Medline]

Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?



This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kang, D. K.
Right arrow Articles by Jung, Y. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kang, D. K.
Right arrow Articles by Jung, Y. S.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Hotlight (NEW!)
Right arrow
What's Hotlight?


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS