Bilateral analysis of the cross-sectional area of the internal mammary arteries and veins in patients with and without breast cancer on breast magnetic resonance imaging

Schipper, Robert-Jan; Lobbes, Marc; Dikmans, Rieky E. G.; Smidt, Marjolein L.; Boetes, C.

doi:10.1007/s13244-012-0214-8

Cited by 8 publications

(13 citation statements)

References 23 publications

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“…In a study carried out by Schipper et al (13) in 2012, diameters were measured as in our study. Their study differs from ours in measurements being made of the IMA diameter before reaching the breast through the intercostal space, not considering LTA diameters, and including only malignant lesions in the study.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Internal Mammary Artery and Lateral Thoracic Artery Width in Patients with Benign and Malignant Breast Tumors

Arslan¹,

Çubuk²,

Çelìk³

et al. 2017

Erciyes Med J

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Objective: The main objective of this study was to analyze the differences in ipsilateral and contralateral internal mammary artery (IMA) and lateral thoracic artery (LTA) width in patients with malignant and benign breast tumor.Materials and Methods: A total of 104 female patients, of which 41 had benign and 63 had malignant tumors, were included in the study. The diameters of the IMA and LTA were measured from the widest point in T1-weighted post-contrast images. Breast magnetic resonance images were evaluated by a breast radiologist. Results:The ipsilateral IMA diameter of cases in the malignant group was found to be statistically significantly higher when compared with the benign group. In the benign group, the ipsilateral IMA diameter being an average of 0.43±0.87 mm larger than the contralateral IMA diameter was found to be statistically significant, whereas in the malignant cases, the ipsilateral IMA diameter being an average of 0.78±1.08 mm larger than the contralateral IMA diameter was found to be statistically significant. Also, in benign cases, the ipsilateral LTA diameter being an average of 0.31±0.70 mm larger than the contralateral LTA diameter was found to be statistically significant, whereas in malignant cases, the ipsilateral LTA diameter being an average of 0.29±0.68 mm larger than the contralateral LTA diameter was found to be statistically significant. Conclusion:The IMA and LTA diameters in benign and malignant cases were found to be higher in comparison with contralateral breast, independent of the size of the lesion.

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Section: Discussionmentioning

confidence: 99%

Comparison of Internal Mammary Artery and Lateral Thoracic Artery Width in Patients with Benign and Malignant Breast Tumors

Arslan¹,

Çubuk²,

Çelìk³

et al. 2017

Erciyes Med J

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“…In a recent study Schipper et al (2013) found that the vascular cross-sectional area of the internal mammary vessels is significantly larger on the side with breast cancer compared to the contralateral side. This chapter investigates the veracity of this finding.…”

Section: Summary and Conclusion 118mentioning

confidence: 94%

“…The next section reviews the study of Schipper et al (2013). Section 6.2 then proffers a new method for the automatic detection and measurement of the internal mammary vessels.…”

Section: Summary and Conclusion 118mentioning

confidence: 99%

“…A more recent study (Chang et al 2013) of over 1300 subjects found no significant difference in the left and right IMA diameters (2.44mm and 2.47mm respectively, no p value given), but the left IMV is significantly smaller than the right IMV (2.47mm versus 2.93mm, p = 0.038). Schipper et al (2013) acknowledge that their study results may be biased because of the manner in which they visualised the tumour. Ideally, tracing of the IMA and IMV should be performed without knowledge of the location of any lesions to avoid bias in the measurement.…”

Section: Summary and Conclusion 118mentioning

confidence: 99%

“…Step 3: Rib detection Schipper et al (2013), based on the recommendation of Tuinder et al (2012), measured the sizes of the internal mammary vessels in the second intercostal space (ICS) because, if branching occurs, it is after the second intercostal space. The intercostal spaces are numbered based on the rib superior to the space, meaning that the second intercostal space is between the second and third ribs, shown in Figure 6.4.…”

Section: 23mentioning

confidence: 99%

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Computer assisted detection and characterisation of breast cancer in MRI

McClymont¹

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This thesis presents a novel set of CAD (computer assisted detection/diagnosis) tools to assist the radiologist with the increasingly complex task of detecting and characterising breast lesions using magnetic resonance imaging (MRI). Commercial CAD systems presently fall short of automatically locating and classifying malignant lesions. Instead they automate many of the image processing and analysis functions that would otherwise have to be performed manually and visualise the data to aid interpretation. It is perhaps not surprising, therefore, that a recent meta-study concluded that existing breast MRI CAD does not improve the sensitivity and specificity of experienced radiologists and their interpretation remains essential. A recent review of breast MRI and MR spectroscopy concluded that what is needed are "quantitative features extracted preferably from the automatically segmented 3D lesion" and a more comprehensive assessment of lesions based on features/measurements "derived from MR multi-parametric acquisitions". This then was the motivation for the objectives of this thesis: (i) to develop an automatic 3D lesion segmentation algorithm for multi-modal breast MRI data; (ii) to develop features that quantitatively characterise the lesion (morphology, microvasculature, and microstructure) and other breast cancer signs from this data; and (iii) to evaluate these CAD tools using clinical breast MRI data.With regard to (i) a novel fully automatic method for segmentation (i.e., detection and delineation) of suspicious tissue in breast MRI is presented and evaluated. The method is based on mean-shift clustering and graph-cuts on a region adjacency graph. To the author's knowledge it is the first fully automatic method for breast lesion detection and delineation in breast MRI. The method was tested on a total of 102 lesions from two different vendors' scanner systems. The regions of interest identified by the method were compared with the ground truth (manually delineated by an experienced radiographer) and the detection and delineation accuracies quantitatively evaluated. One hundred percent of the lesions were detected with a mean of 4.5 ± 1.2 false positives per subject. This false-positive rate is nearly 50% better than previously reported for a fully automatic breast lesion detection system. The median Dice coefficient was ii 0.76 (interquartile range, 0.17), and 0.75 (interquartile range, 0.16) for the two scanner systems respectively.With regard to (ii) several new features for breast MRI CAD-derived from anatomical T1w and T2w images, DCE-MRI, and DW-MRI-are presented. They include features that characterise vascularity, blooming, and centripetal/centrifugal enhancement; and features extracted from the repartition of a lesion into mean-shift clusters. A new method for the fully automatic segmentation and measurement of the internal mammary vessels is also presented and evaluated. This was motivated by recent findings that the vascular cross-sectional area of internal mammary vessels is significantly...

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