Diffusion-weighted imaging and FDG PET/CT: predicting the prognoses with apparent diffusion coefficient values and maximum standardized uptake values in patients with invasive ductal carcinoma

World Journal of Surgical Oncology

Hyeon Woo Yim³  Seung Hee Jeong³  Byung Joo Song¹  Ji Hye Lee⁴  Bong Joo Kang⁴  Sung Hun Kim⁴  Bo Bae Choi² 

[1] Department of General Surgery, The Catholic University of Korea, Seoul, Korea;Department of Radiology, Chungnam University Hospital, Chungnam, Korea;Department of Preventive Medicine, Clinical Research Coordinating Center, College of Medicine, The Catholic University of Korea, Seoul, Korea;Department of Radiology, The Catholic University of Korea, Seoul, Korea

关键词: positron emission tomography;    diffusion magnetic resonance imaging;    magnetic resonance imaging;    breast;    Invasive ductal carcinoma;   

Others  :  827620
DOI  :  10.1186/1477-7819-10-126

 received in 2012-03-13, accepted in 2012-06-28,  发布年份 2012

【 摘 要 】

Background

FDG PET/CT and DWI are both functional modalities that indirectly represent the biological characteristics of cancer, but there are few studies exploring the association between the two modalities and prognostic factors. Our study attempted to evaluate the mutual association by comparing the prognostic factors, SUVmax value of PET/CT, and ADC values associated with diffusion imaging in invasive ductal carcinoma (IDC) patients.

Methods

Patients with pathologically confirmed IDC were recruited. There were 118 patients who underwent MRI, including DWI, FDG PET/CT, and immunohistochemical staining of the surgical specimen. Histologic analysis was done on tumor size, lymph node metastasis, expression of estrogen receptors (ER), progesterone receptors (PR), human epidermal growth factor receptor 2 (HER2), Ki-67, and epidermal growth factor receptors (EGFR). The relationship among ADC values, SUVmax and prognostic factors were evaluated.

Results

There was significant association between the ADC value and ER-positive and HER2-negative expression. Significant associations were noted between SUVmax and tumor size, lymph node metastasis, histologic grade, ER and PR expression, EGFR and Ki-67. However, there was no significant correlation between the ADC value and SUVmax.

Conclusions

Even though there was no correlation between ADC and SUVmax, both indexes are useful for predicting the prognosis of IDC.

【 授权许可】

   
2012 Choi et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

Figure 2.

【 参考文献 】

• [1]Nakajo M, Kajiya Y, Kaneko T, Kaneko Y, Takasaki T, Tani A, Ueno M, Koriyama C, Nakajo M: FDG PET/CT and diffusion-weighted imaging for breast cancer: prognostic value of maximum standardized uptake values and apparent diffusion coefficient values of the primary lesion. Eur J Nucl Med Mol Imaging 2010, 37:2011-2020.
• [2]Oshida M, Uno K, Suzuki M, Nagashima T, Hashimoto H, Yagata H, Shishikura T, Imazeki K, Nakajima N: Predicting the prognoses of breast carcinoma patients with positron emission tomography using 2-deoxy-2-fluoro [18 F]-D-glucose. Cancer 1998, 82:2227-2234.
• [3]Ikenaga N, Otomo N, Toyofuku A, Ueda Y, Toyoda K, Hayashi T, Nishikawa K, Tanaka M: Standardized uptake values for breast carcinomas assessed by fluorodeoxyglucose-positron emission tomography correlate with prognostic factors. Am Surg 2007, 73:1151-1157.
• [4]Kim SH, Cha ES, Kim HS, Kang BJ, Choi JJ, Jung JH, Park YG, Suh YJ: Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors. J Magn Reson Imaging 2009, 30:615-620.
• [5]Ho KC, Lin G, Wang JJ, Lai CH, Chang CJ, Yen TC: Correlation of apparent diffusion coefficients measured by 3 T diffusion-weighted MRI and SUV from FDG PET/CT in primary cervical cancer. Eur J Nucl Med Mol Imaging 2009, 36:200-208.
• [6]Jeh SK, Kim SH, Kim HS, Kang BJ, Jeong SH, Yim HW, Song BJ: Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma. J Magn Reson Imaging 2011, 33:102-109.
• [7]Razek AA, Gaballa G, Denewer A, Nada N: Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors. NMR Biomed 2010, 23:619-623.
• [8]Hatakenaka M, Soeda H, Yabuuchi H, Matsuo Y, Kamitani T, Oda Y, Tsuneyoshi M, Honda H: Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci 2008, 7:23-29.
• [9]Kuroki-Suzuki S, Kuroki Y, Nasu K, Nawano S, Moriyama N, Okazaki M: Detecting breast cancer with non contrast MR imaging: combining diffusion-weighted and STIR imaging. Magn Reson Med Sci 2007, 6:21-27.
• [10]Patterson DM, Padhani AR, Collins DJ: Technology insight: water diffusion MRI - a potential new biomarker of response to cancer therapy. Nat Clin Pract Oncol 2008, 5:220-233.
• [11]Park SH, Moon WK, Cho N, Chang JM, Im SA, Park IA, Kang KW, Han WS, Noh DY: Comparison of diffusion-weighted MR imaging and FDG PET/CT to predict pathological complete response to neoadjuvant chemotherapy in patients with breast cancer. Eur Radiol 2012, 22:18-25.
• [12]Tsushima Y, Takahashi-Taketomi A, Endo K: Magnetic resonance (MR) differential diagnosis of breast tumors using apparent diffusion coefficient (ADC) on 1.5-T. J Magn Reson Imaging 2009, 30:249-255.
• [13]Marini C, Iacconi C, Giannelli M, Cilotti A, Moretti M, Bartolozzi C: Qualitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions. Eur Radiol 2007, 17:2646-2655.
• [14]Park MJ, Cha ES, Kang BJ, Ihn YK, Baik JH: The role of diffusion-weighted imaging and the apparent diffusion coefficient (ADC) values for breast tumors. Korean J Radiol 2007, 8:390-396.
• [15]Guo Y, Cai Y, Cai Z, Gao YG, An NY, Ma L, Mahankali S, Gao JH: Differentiation of clinically benign and malignant breast lesions using diffusion weighted imaging. J Magn Reson Imaging 2002, 16:172-178.
• [16]Makkat S, Luypaert R, Stadnik T, Bourgain C, Sourbron S, Dujardin M, De Greve J, De Mey J: Deconvolution-based dynamic contrast-enhanced MR imaging of breast tumors: correlation of tumor blood flow with human epidermal growth factor receptor 2 status and clinicopathologic findings-preliminary results. Radiology 2008, 249:471-482.
• [17]Esteva FJ, Hortobagyi GN: Prognostic molecular markers in early breast cancer. Breast Cancer Res 2004, 6:109-118. BioMed Central Full Text
• [18]Ali SH, O’Donnell AL, Balu D, Pohl MB, Seyler MJ, Mohamed S, Mousa S, Dandona P: Estrogen receptor-alpha in the inhibition of cancer growth and angiogenesis. Cancer Res 2000, 60:7094-7098.
• [19]Ludovini V, Sidoni A, Pistoloa L, Bellezza G, De Angelis V, Gori S, Mosconi AM, Bisagni G, Cherubini R, Bian AR, Rodinò C, Sabbatini R, Mazzocchi B, Bucciarelli E, Tonato M, Colozza M: Evaluation of the prognostic role of vascular endothelial growth factor and microvessel density in stage I and II breast cancer patients. Breast Cancer Res Treat 2003, 81:159-168.
• [20]Black R, Prescott R, Bers K, Hawkins A, Stewart H, Forrest P: Tumor cellularity, oestrogen receptors and prognosis in breast cancer. Clin Oncol 1983, 9:311-318.
• [21]Woodhams R, Matsunaga K, Iwabuchi K, Kan S, Hata H, Kuranami M, Watanabe M, Hayakawa K: Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr 2005, 29:644-649.
• [22]Yoshikawa MI, Ohsumi S, Sugata S, Kataoka M, Takashima S, Mochizuki T, Ikura H, Imai Y: Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer. Radiat Med 2008, 26:222-226.
• [23]Jatoi I, Hilsenbeck SG, Clark GM, Osborne CK: Significance of axillary lymph node metastasis in primary breast cancer. J Clin Oncol 1999, 17:2334-2340.
• [24]Mussurakis S, Buckley DL, Horsman A: Prediction of axillary lymph node status in invasive breast cancer with dynamic contrast-enhanced MR imaging. Radiology 1997, 203:317-321.
• [25]Ueda S, Tsuda H, Asakawa H, Shigekawa T, Fukatsu K, Kondo N, Yamamoto M, Hama Y, Tamura K, Ishida J, Abe Y, Mochizuki H: Clinicopathological and prognostic relevance of uptake level using 18 F-fluodeoxyglucose positron emission tomography/computed tomography fusion imaging (18 F-FDG PET/CT) in primary breast cancer. Jpn J Clin Oncol 2008, 38:250-258.
• [26]Bos R, van Der Hoeven JJ, van Der Wall E, van Der Groep P, van Diest PJ, Comans EF, Joshi U, Semenza GL, Hoekstra OS, Lammertsma AA, Molthoff CF: Biologic correlates of (18)fluorodeoxyglucose uptake in human breast cancer measured by positron emission tomography. J Clin Oncol 2002, 20:379-387.
• [27]Ito K, Kato T, Ohta T, Tadakoro M, Yamada T, Ikeda M, Masanari N, Ishigaki T, Ito K, Gambhir S: Fluorine-18 fluoro-2-deoxyglucose positron emission tomography in recurrent rectal cancer: relation to tumour size and cellularity. Eur J Nucl Med 1996, 23:1372-1377.