Efficacy of MR Mammography (MRM) in Providing Preoperative Locoregional Information on Breast Cancer: Correlation between MRM and Histological Findings

Kuroki, Yoshio; Nakamura, Shigeru; Hasebe, Takahiro; Imoto, Shigeru; Nasu, Katsuhiro; Murakami, Koji; Satake, Mitsuo; Sekiguchi, Ryuzo; Hayashi, Takayuki

doi:10.2463/mrms.1.73

Cited by 20 publications

(17 citation statements)

References 16 publications

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“…For malignant tumors, they have a relatively high cellular density and therefore will produce a low ADC value in DWI, while for benign lesion, its density is generally low and thus will produce a high ADC value in DWI. Application of DWI in the diagnosis of breast lesions has been reported recently [14,16,22-24]. These studies showed that in malignant breast tumors, the ADC was significantly lower than that in benign tumors.…”

Section: Discussionmentioning

confidence: 99%

The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma

Zhang¹,

Huang²,

Du³

et al. 2009

BMC Cancer

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BackgroundTo define a threshold value of apparent diffusion coefficient (ADC) with which malignant breast lesions can be distinguished from benign lesions, and to evaluate the ADC change of peri-tumor tissue in breast carcinoma by echo planar-diffusion weighted imaging (EPI-DWI).Methods57 breast lesions were scanned by routine MRI and EPI-DWI. The ADC values were compared between malignant and benign lesions. The sensitivity and specificity of EPI-DWI and the threshold ADC value were evaluated by Receiver Operating Characteristic curve (ROC). The ADC values of malignant lesion and layered peri-tumor tissues (from innermost layer 1 to outermost layer 4 with 5 mm every layer) in different directions were compared and the ADC values among different layers were compared.ResultsThe ADC value of 35 malignant lesions was statistically lower than that of 22 benign lesions (P < 0.05). In ROC curve, the threshold value was 1.24 +/- 0.25*10E-3 mm2/s (b = 500) or 1.20 +/- 0.25*10E-3 mm2/s (b = 1000). The ADC value of malignant lesions was statistically lower than that of peri-tumor tissues in different directions (P < 0.05). For peri-tumor tissues, the ADC values increased gradually from layer 1 to layer 4 and there was a significant difference between the ADC values of layer 1 and layer 2 (P < 0.05); while from layer 2 outwards, there was no statistical difference among different layers.ConclusionADC value was a sensitive and specific parameter that could help to differentiate benign and malignant breast lesions. ADC changes in tissues adjacent to breast carcinoma could be detected by EPI-DWI, which made EPI-DWI a promising method for helping to determine surgical scope of breast carcinoma.

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Section: Discussionmentioning

confidence: 99%

The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma

Zhang¹,

Huang²,

Du³

et al. 2009

BMC Cancer

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“…8,9,[19][20][21] Moreover, MRM has proven helpful in the diagnosis of intraductal spread of breast cancer. [3][4][5][6][7] In the treatment of breast cancer, breast-conserving therapy is increasingly common and has produced satisfactory results. However, local recurrence is sometimes observed in patients treated with this therapy, and intraductal spread is considered to be one of the risk factors in such recurrence.…”

Section: Discussionmentioning

confidence: 99%

“…Currently, importance is also given to the locoregional information of cancer, including intraductal spread. [4][5][6][7] This is because intraductal spread is considered one of the greatest risk factors leading to recurrence following breast-conserving therapy. [8][9][10] Therefore, diagnostic MRM for breast cancer requires not only su‹cient time resolution for diŠerential diagnosis between malignant and benign lesions but also high spatial resolution to reveal small lesions, including intraductal spread.…”

Section: Introductionmentioning

confidence: 99%

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Diffusion-weighted Imaging of Breast Cancer with the Sensitivity Encoding Technique: Analysis of the Apparent Diffusion Coefficient Value

Kuroki

Nasu

Kuroki

et al. 2004

MRMS

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171

141

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“…This finding is consistent with prior studies (Table 1). 1,3,6,[12][13][14][15][16][17][18][19][20][21] Tumour size measured by micro-CT correlated better with histopathological invasive tumour size than any of the three pre-operative imaging modalities. This is likely because micro-CT generates higher resolution images, making fine structures, anatomic features and tumour boundaries more clearly visible.…”

Section: Discussionmentioning

confidence: 99%

Intraoperative micro-computed tomography (micro-CT): a novel method for determination of primary tumour dimensions in breast cancer specimens

Tang

Saksena

Coopey

et al. 2016

BJR

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Objectives: Micro-CT is a promising modality to determine breast tumour size in three dimensions in intact lumpectomy specimens. We compared the accuracy of tumour size measurements using specimen micro-CT with measurements using multimodality pre-operative imaging. Methods: A tabletop micro-CT was used to image breast lumpectomy specimens. The largest tumour dimension on three-dimensional reconstructed micro-CT images of the specimen was compared with the measurements determined by pre-operative mammography, ultrasound and MRI. The largest dimension of pathologic invasive cancer size was used as the gold standard reference to assess the accuracy of imaging assessments. Results: 50 invasive breast cancer specimens in 50 patients had micro-CT imaging. 42 were invasive ductal carcinoma, 6 were invasive lobular carcinoma and 2 were other invasive cancer. Median patient age was 63 years (range 33-82 years). When compared with the largest pathologic tumour dimension, micro-CT measurements had the best correlation coefficient (r 5 0.82, p , 0.001) followed by MRI (r 5 0.78, p , 0.001), ultrasound (r 5 0.61, p , 0.001) and mammography (r 5 0.40, p , 0.01). When compared with preoperative modalities, micro-CT had the best correlation coefficient (r 5 0.86, p , 0.001) with MRI, followed by ultrasound (r 5 0.60, p , 0.001) and mammography (r 5 0.54, p , 0.001). Overall, mammography and ultrasound tended to underestimate the largest tumour dimension, while MRI and micro-CT overestimated the largest tumour dimension more frequently. Conclusion: Micro-CT is a potentially useful tool for accurate assessment of tumour dimensions within a lumpectomy specimen. Future studies need to be carried out to see if this technology could have a role in margin assessment. Advances in knowledge: Micro-CT is a promising new technique which could potentially be used for rapid assessment of breast cancer dimensions in an intact lumpectomy specimen in order to guide surgical excision.

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Efficacy of MR Mammography (MRM) in Providing Preoperative Locoregional Information on Breast Cancer: Correlation between MRM and Histological Findings

Abstract: MRM accurately reveals the extent of cancer, including IDS, and is effective at providing preoperative locoregional information for breast-conserving therapy for breast cancer.

Cited by 20 publications

References 16 publications

The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma

The value of diffusion-weighted imaging in assessing the ADC changes of tissues adjacent to breast carcinoma

Diffusion-weighted Imaging of Breast Cancer with the Sensitivity Encoding Technique: Analysis of the Apparent Diffusion Coefficient Value

Intraoperative micro-computed tomography (micro-CT): a novel method for determination of primary tumour dimensions in breast cancer specimens

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