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Can diffusion-weighted imaging serve as a biomarker of fibrosis in pancreatic adenocarcinoma?
被引:33
作者:
Hecht, Elizabeth M.
[1
]
Liu, Michael Z.
[1
]
Prince, Martin R.
[1
]
Jambawalikar, Sachin
[1
]
Remotti, Helen E.
[2
]
Weisberg, Stuart W.
[2
]
Garmon, Donald
[3
]
Lopez-Pintado, Sara
[4
]
Woo, Yanghee
[5
]
Kluger, Michael D.
[3
]
Chabot, John A.
[3
]
机构:
[1] Columbia Univ, Med Ctr, Dept Radiol, New York Presbyterian, New York, NY USA
[2] Columbia Univ, Dept Pathol, Med Ctr, New York Presbyterian, New York, NY USA
[3] Columbia Univ, Dept Surg, Med Ctr, New York Presbyterian, New York, NY USA
[4] Columbia Univ, Mailman Sch Publ Heath, Dept Biostat, New York, NY USA
[5] City Hope Natl Med Ctr, Dept Surg, Duarte, CA USA
关键词:
pancreas adenocarcinoma (PAC);
diffusion weighted imaging (DWI);
intravoxel incoherent motion (IVIM);
fibrosis;
pancreas;
stromal desmoplasia;
MUCIN-PRODUCING TUMOR;
RESONANCE CHOLANGIOPANCREATOGRAPHY;
DIFFERENTIAL-DIAGNOSIS;
STROMAL BIOLOGY;
ABDOMINAL MRI;
B-VALUES;
CANCER;
COEFFICIENT;
MASS;
CARCINOMA;
D O I:
10.1002/jmri.25581
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
1002 ;
100207 ;
1009 ;
摘要:
PurposeTo assess the relationship between diffusion-weighted imaging (DWI) and intravoxel incoherent motion (IVIM)-derived quantitative parameters (apparent diffusion coefficient [ADC], perfusion fraction [f], D-slow, diffusion coefficient [D], and D-fast, pseudodiffusion coefficient [D*]) and histopathology in pancreatic adenocarcinoma (PAC). Materials and MethodsSubjects with suspected surgically resectable PAC were prospectively enrolled in this Health Insurance Portability and Accountability Act (HIPAA)-compliant, Institutional Review Board-approved study. Imaging was performed at 1.5T with a respiratory-triggered echo planar DWI sequence using 10 b values. Two readers drew regions of interest (ROIs) over the tumor and adjacent nontumoral tissue. Monoexponential and biexponential fits were used to derive ADC(2b), ADC(all), f, D, and D*, which were compared to quantitative histopathology of fibrosis, mean vascular density, and cellularity. Two biexponential IVIM models were investigated and compared: 1) nonlinear least-square fitting based on the Levenberg-Marquardt algorithm, and 2) linear fit using a fixed D* (20mm(2)/s). Statistical analysis included Student's t-test, Pearson correlation (P < 0.05 was considered significant), intraclass correlation, and coefficients of variance. ResultsTwenty subjects with PAC were included in the final cohort. Negative correlation between D and fibrosis (Reader 2: r=-0.57 P=0.01; pooled P=-0.46, P=0.04) was observed with a trend toward positive correlation between f and fibrosis (r=0.44, P=0.05). ADC(2b) was significantly lower in PAC with dense fibrosis than with loose fibrosis ADC(2b) (P=0.03). Inter- and intrareader agreement was excellent for ADC, D, and f. ConclusionIn PAC, D negatively correlates with fibrosis, with a trend toward positive correlation with f suggesting both perfusion and diffusion effects contribute to stromal desmoplasia. ADC(2b) is significantly lower in tumors with dense fibrosis and may serve as a biomarker of fibrosis architecture. Level of Evidence: 1 Technical Efficacy: Stage 2 J. MAGN. RESON. IMAGING 2017;46:393-402
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页码:393 / 402
页数:10
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