글로벌 연구동향
핵의학
- 2018년 08월호
[Ann Nucl Med.] Prediction of tumor differentiation using sequential PET/CT and MRI in patients with breast cancer.KIRAMS / 최준호, 임상무*
- 출처
- Ann Nucl Med.
- 등재일
- 2018 Jul
- 저널이슈번호
- 32(6):389-397. doi: 10.1007/s12149-018-1259-7. Epub 2018 May 23.
- 내용
Abstract
OBJECTIVE:
The aim of this study is to assess tumor differentiation using parameters from sequential positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) in patients with breast cancer.METHODS:
This retrospective study included 78 patients with breast cancer. All patients underwent sequential PET/CT and MRI. For fluorodeoxyglucose (FDG)-PET image analysis, the maximum standardized uptake value (SUVmax) of FDG was assessed at both 1 and 2 h and metabolic tumor volume (MTV) and total lesion glycolysis (TLG). The kinetic analysis of dynamic contrast-enhanced MRI parameters was performed using dynamic enhancement curves. We assessed diffusion-weighted imaging (DWI)-MRI parameters regarding apparent diffusion coefficient (ADC) values. Histologic grades 1 and 2 were classified as low-grade, and grade 3 as high-grade tumor.RESULTS:
Forty-five lesions of 78 patients were classified as histologic grade 3, while 26 and 7 lesions were grade 2 and grade 1, respectively. Patients with high-grade tumors showed significantly lower ADC-mean values than patients with low-grade tumors (0.99 ± 0.19 vs.1.12 ± 0.32, p = 0.007). With respect to SUVmax1, MTV2.5, and TLG2.5, patients with high-grade tumors showed higher values than patients with low-grade tumors: SUVmax1 (7.92 ± 4.5 vs.6.19 ± 3.05, p = 0.099), MTV2.5 (7.90 ± 9.32 vs.4.38 ± 5.10, p = 0.095), and TLG2.5 (40.83 ± 59.17 vs.19.66 ± 26.08, p = 0.082). However, other parameters did not reveal significant differences between low-grade and high-grade malignancies. In receiver-operating characteristic (ROC) curve analysis, ADC-mean values showed the highest area under the curve of 0.681 (95%CI 0.566-0.782) for assessing high-grade malignancy.CONCLUSIONS:
Lower ADC-mean values may predict the poor differentiation of breast cancer among diverse PET-MRI functional parameters.
Author informationChoi JH1, Lim I1, Noh WC2, Kim HA2, Seong MK2, Jang S3, Seol H4, Moon H1, Byun BH1, Kim BI1, Choi CW1, Lim SM5.
1
Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
2
Department of Surgery, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
3
Department of Radiology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
4
Department of Pathology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea.
5
Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences (KIRAMS), Seoul, Republic of Korea. smlim328@kcch.re.kr.
- 키워드
- Breast cancer; DCE–MRI; DWI–MRI; FDG-PET; Histological grade
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