Literature DB >> 29797002

Prediction of tumor differentiation using sequential PET/CT and MRI in patients with breast cancer.

Joon Ho Choi1, Ilhan Lim1, Woo Chul Noh2, Hyun-Ah Kim2, Min-Ki Seong2, Seonah Jang3, Hyesil Seol4, Hansol Moon1, Byung Hyun Byun1, Byung Il Kim1, Chang Woon Choi1, Sang Moo Lim5.   

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.

Entities:  

Keywords:  Breast cancer; DCE–MRI; DWI–MRI; FDG-PET; Histological grade

Mesh:

Substances:

Year:  2018        PMID: 29797002     DOI: 10.1007/s12149-018-1259-7

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  5 in total

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4.  Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-10-15       Impact factor: 4.430

5.  Dual time point 18F-fluorodeoxyglucose positron emission tomography/computed tomography fusion imaging (18F-FDG PET/CT) in primary breast cancer.

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Journal:  BMC Cancer       Date:  2019-11-27       Impact factor: 4.430

  5 in total

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