Preoperative Prediction of Ductal Carcinoma in situ Underestimation of the Breast using Dynamic Contrast Enhanced and Diffusion-weighted Imaging
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Objective: To investigate roles of dynamic contrast enhanced magnetic resonance (DCE MR) and diffusion-weighted (DW) imaging in preoperative prediction of underestimation of ductal carcinoma in situ (DCIS) 2cm on US guided core needle biopsy. Materials and Methods: Twenty two patients with DCIS on US-guided 14 gauge core needle biopsy were included. Patients were divided into a group with and without DCIS underestimation based on histopathology. MR images including DCE and DW imaging were obtained with a 3.0-T MR. The lesion type (mass or non-mass), enhancement pattern,peak enhancement, and apparent diffusion coefficient (ADC) values of proven malignant masses were generated using software of CADstream and compared between two groups using Fisher’s exact test and Mann Whitney test. Results: Eight patients were in the group with underestimation and 14 patients were in the group without underestimation. The lesion type and enhancement pattern were not different between two groups (P values = 1.000 and 0.613,respectively). The median peak enhancement of lesions with underestimation was 159.5%, higher than 133.5% of those without underestimation, but not significant (P value = 0.413). The median ADC value of lesions with underestimation was 1.26×10-3 mm2/sec, substantially lower than 1.35×10-3 mm2/sec of those without underestimation (P value = 0.094). Conclusion: ADC values had the potential to preoperatively predict DCIS underestimation on US-guided core needle biopsy,although a large prospective series study should be conducted to confirm these results.
Abstract
Objective: To investigate roles of dynamic contrast enhanced magnetic resonance (DCE MR) and diffusion-weighted (DW) imaging in preoperative prediction of underestimation of ductal carcinoma in situ (DCIS) 2cm on US guided core needle biopsy. Materials and Methods: Twenty two patients with DCIS on US-guided 14 gauge core needle biopsy were included. Patients were divided into a group with and without DCIS underestimation based on histopathology. MR images including DCE and DW imaging were obtained with a 3.0-T MR. The lesion type (mass or non-mass), enhancement pattern,peak enhancement, and apparent diffusion coefficient (ADC) values of proven malignant masses were generated using software of CADstream and compared between two groups using Fisher’s exact test and Mann Whitney test. Results: Eight patients were in the group with underestimation and 14 patients were in the group without underestimation. The lesion type and enhancement pattern were not different between two groups (P values = 1.000 and 0.613,respectively). The median peak enhancement of lesions with underestimation was 159.5%, higher than 133.5% of those without underestimation, but not significant (P value = 0.413). The median ADC value of lesions with underestimation was 1.26×10-3 mm2/sec, substantially lower than 1.35×10-3 mm2/sec of those without underestimation (P value = 0.094). Conclusion: ADC values had the potential to preoperatively predict DCIS underestimation on US-guided core needle biopsy,although a large prospective series study should be conducted to confirm these results.
참고문헌 (41)
- Schueller G, "US-guided 14-gauge core-needle breast biopsy: results of a validation study in 1352 cases", Radiology, 248, pp.406~ (2008)
- Liberman L, "Clinical management issues in percutaneous core breast biopsy", Radiol Clin North Am, 38, pp.791~807 (2000)
- Youk JH, "Benign papilloma without atypia diagnosed at US-guided 14-gauge core-needle biopsy: clinical and US features predictive of upgrade to malignancy", Radiology, 258, pp.81~88 (2011)
- O’Flynn EA, "Image-guided breast biopsy: state-of-the-art", Clin Radiol, 65, pp.259~270 (2010)
- Helbich TH, "Stereotactic and ultrasound-guided breast biopsy", Eur Radiol, 14, pp.383~393 (2004)
- Sauer G, "Ultrasound-guided largecore needle biopsies of breast lesions: analysis of 962 cases to determine the number of samples for reliable tumour classification", Br J Cancer, 92, pp.231~235 (2004)
- Schoonjans JM, "Fourteen-gauge ultrasonographically guided large-core needle biopsy of breast masses", J Ultrasound Med, 20, pp.967~972 (2001)
- Smith DN, "The utility of ultrasonographically guided large-core needle biopsy: results from 500 consecutive breast biopsies", J Ultrasound Med, 20, pp.43~49 (2001)
- Suh Y, "Comparison of the underestimation rate in cases with ductal carcinoma in situ at ultrasound-guided core biopsy: 14-gauge automated core-needle biopsy vs 8-or 11- gauge vacuum-assisted biopsy", Br J Radiol, 85, pp.e349~e356 (2012)
- Verkooijen HM, "Diagnostic accuracy of large-core needle biopsy for nonpalpable breast disease: a meta-analysis", Br J Cancer, 82, pp.1017~1021 (2000)
- Bhooshan N, "Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers", Radiology, 254, pp.680~690 (2010)
- Edge SB, "AJCC Cancer Staging Manual" (2009), Springer
- Kuhl CK, "Dynamic image interpretation of MRI of the breast", J Magn Reson Imaging, 12, pp.965~974 (2000)
- Van Goethem M, "Comparison of MRI features of different grades of DCIS and invasive carcinoma of the breast", JBR BTR, 88, pp.225~232 (2005)
- Chen W, "Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images", Magn Reson Med, 58, pp.562~571 (2007)
- Peters NH, "Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: the influence of the choice of b-values", J Magn Reson Imaging, 31, pp.1100~1105 (2010)
- Rubesova E, "Lemort M. Quantitative diffusion imaging in breast cancer: a clinical prospective study", J Magn Reson Imaging, 24, pp.319~324 (2006)
- Woodhams R, "ADC mapping of benign and malignant breast tumors", Magn Reson Med Sci, 4, pp.35~42 (2005)
- Iima M, "Apparent diffusion coefficient as an MR imaging biomarker of low-risk ductal carcinoma in situ: a pilot study", Radiology, 260, pp.364~372 (2011)
- Rahbar H, "Characterization of ductal carcinoma in situ on diffusion-weighted breast MRI", Eur Radiol, 21, pp.2011~2019 (2011)
- Partridge SC, "Differential diagnosis of mammographically and clinically occult breast lesions on diffusion-weighted MRI", J Magn Reson Imaging, 31, pp.562~570 (2010)
- Moon M, "Dynamic contrast-enhanced breast MR imaging", Magn Reson Imaging Clin N Am, 17, pp.351~362 (2009)
- Cho N, "Sonoelastographic lesion stiffness: preoperative predictor of the presence of an invasive focus in nonpalpable DCIS diagnosed at US-guided needle biopsy", Eur Radiol, 21, pp.1618~1627 (2011)
- Lyman GH, "American Society of Clinical Oncology guideline recommendations for sentinel lymph node biopsy in early-stage breast cancer", J Clin Oncol, 23, pp.7703~7720 (2005)
- Society AC, "Breast cancer survival rates by stage", ~ (2012)
- Gutierrez RL, "High cancer yield and positive predictive value: outcomes at a center routinely using preoperative breast MRI for staging", AJR Am J Roentgenol, 196, pp.W93~W99 (2011)
- Houssami N, "Accuracy and surgical impact of magnetic resonance imaging in breast cancer staging: systematic review and meta-analysis in detection of multifocal and multicentric cancer", J Clin Oncol, 26, pp.3248~3258 (2008)
- Pengel KE, "The impact of preoperative MRI on breast-conserving surgery of invasive cancer: a comparative cohort study", Breast Cancer Res Treat, 116, pp.161~169 (2009)
- Rosen EL, "BI-RADS MRI Enhancement characteristics of ductal carcinoma in situ", Breast J, 13, pp.545~550 (2007)
- Jansen SA, "Ductal carcinoma in situ: detection, diagnosis, and characterization with magnetic resonance imaging", Semin Ultrasound CT MR, 32, pp.306~318 (2011)
- Sakamoto N, "Categorization of nonmass- like breast lesions detected by MRI", Breast Cancer, 15, pp.241~246 (2008)
- Lehman CD, "A new automated software system to evaluate breast MR examinations: improved specificity without decreased sensitivity", AJR Am J Roentgenol, 187, pp.51~56 (2006)
- Meeuwis C, "Computer-aided detection (CAD) for breast MRI: evaluation of efficacy at 3.0 T", Eur Radiol, 20, pp.522~528 (2010)
- Wang LC, "MRI-detected suspicious breast lesions: predictive values of kinetic features measured by computer-aided evaluation", AJR Am J Roentgenol, 193, pp.826~831 (2009)
- Jansen SA, "Pure ductal carcinoma in situ: kinetic and morphologic MR characteristics compared with mammographic appearance and nuclear grade", Radiology, 245, pp.684~691 (2007)
- Newell D, "Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement", Eur Radiol, 20, pp.771~781 (2010)
- Woodhams R, "Diffusion-weighted imaging of the breast: principles and clinical applications", Radiographics, 31, pp.1059~1084 (2011)
- Kuroki-Suzuki S, "Detecting breast cancer with non-contrast MR imaging: combining diffusion-weighted and STIR imaging", Magn Reson Med Sci, 6, pp.21~27 (2007)
- Marini C, "Quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesion", Eur Radiol, 17, pp.2646~2655 (2007)
- Kuhl CK, "MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study", Lancet, 370, pp.485~492 (2007)
- Liberman L, "MR imaging of the ipsilateral breast in women with percutaneously proven breast cancer", AJR Am J Roentgenol, 180, pp.901~910 (2003)