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Quantitative Assessment of
Diethylnitrosamine-induced Hepatic Fibrosis
by
Non-Invasive Ultrasound
Laith R Sultan MD, Julia C D’Souza BSE, Susan M Schultz RDMS, Tong Wu PhD,
Terrence Gade MD PhD,Sean D Carlin PhD, Stephen J Hunt MD PhD,
Chandra M Sehgal PhD
❖ All authors have
no financial
disclosures
Cirrhosis: Diagnosis
▪ Cirrhosis and liver disease represent
the 12th leading cause of death
overall, and 5th leading cause of
death for 45 - 54 year olds in US
▪ Liver biopsy is the gold standard for
assessing fibrosis and cirrhosis
▪ Shortcomings of liver biopsy:
▪ Invasive
▪ Sampling error:
▪ Complications
Objective
To evaluate fibrotic changes in a preclinical model using
B-mode ultrasound
Approach:
▪ Quantitative, computer-extracted features
▪ Diethylnitrosamine (DEN)-induced rat model
Experimental Design
Arms:
DEN (n=12)
Control (n=4)
Materials & Methods
Image and Statistical Analysis
▪ Sampling: 6 image acquisitions throughout liver
4 - 6 ROIs/image
▪ Echo-intensity = mean brightness of ROIs
▪ Heterogeneity = variance of 1st order histogram
▪ Intragroup Δ (temporal progression): ANOVA with
subsequent t-tests between three timepoints
▪ Intergroup Δ (DEN vs control): Two-sided t-tests
at each timepoint
▪ Preparation of H&E and trichrome stains
▪ METAVIR grading by veterinary pathologist
▪ Spearman correlation between sonographic
parameters and METAVIR score
Materials & Methods
Pathologic Validation
DENControl
10 weeks0 weeks 13 weeks
Results
Echointensity
*
*
* p = 0.001
0w 10w 13w
Control 38.1 38.2 38.4
DEN 38.1 56.5 59.6
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
Echointensity
Echo-intensity:
10 weeks (p = 0.0013), 13 weeks (p = 0.0002)
DENControl
10 weeks0 weeks 13 weeks
Results
Heterogeneity
**
*
*
** p = 0.005
0w 10w 13w
Control 275.3 247.8 245.5
DEN 246.6 524.9 480.7
0.0
100.0
200.0
300.0
400.0
500.0
600.0
700.0
Heterogeneity
▪ DEN rats: METAVIR grades F2-F4
▪ Control rats: F0
F3 F4F2
Results
Histology
Results
Correlation of 13w sonographic data with METAVIR
score
Echointensity vs. Fibrosis grade Heterogeneity vs. Fibrosis grade
Rho = 0.8242
p = 0.0003
Rho = 0.8287
p = 0.0002
Different grades of fibrosis show separate populations based on echointensity and heterogeneity
Results
Population grouping of METAVIR grades by sonographic measures
F
4
F
0
F
2
F
3
Limitations
◼ Limited data for intermediate stages of fibrosis→ Image
and sacrifice at earlier time points
◼ Similarities in characterization of F2/F3 lesions→
Further characterization with additional computerized
features
Conclusion
◼ B-mode US tracks fibrotic changes in a rat model.
◼ Sonographic features correlate to histology.
◼ Potential role for B-mode US for the non-invasive
measurement of liver fibrosis.
Future Directions
◼ Preclinical correlation of sonographic features to HCC
development
◼ Rat model comparison to fibroscan results
◼ Comparison of biopsy-proven METAVIR fibrosis scoring with
clinical ultrasound measurements
Thank you!
Contact:
lsultan@pennmedicine.upenn.edu
julia.dsouza@uphs.upenn.edu
Stephen.hunt@uphs.upenn.edu
Chandra.sehgal@uphs.upenn.edu
Penn Ultrasound Research Lab
Penn Small Animal Imaging Facility

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Monitoring liver fibrosis with quantitaive B-Mode ultrasound

  • 1. Quantitative Assessment of Diethylnitrosamine-induced Hepatic Fibrosis by Non-Invasive Ultrasound Laith R Sultan MD, Julia C D’Souza BSE, Susan M Schultz RDMS, Tong Wu PhD, Terrence Gade MD PhD,Sean D Carlin PhD, Stephen J Hunt MD PhD, Chandra M Sehgal PhD
  • 2. ❖ All authors have no financial disclosures
  • 3. Cirrhosis: Diagnosis ▪ Cirrhosis and liver disease represent the 12th leading cause of death overall, and 5th leading cause of death for 45 - 54 year olds in US ▪ Liver biopsy is the gold standard for assessing fibrosis and cirrhosis ▪ Shortcomings of liver biopsy: ▪ Invasive ▪ Sampling error: ▪ Complications
  • 4. Objective To evaluate fibrotic changes in a preclinical model using B-mode ultrasound Approach: ▪ Quantitative, computer-extracted features ▪ Diethylnitrosamine (DEN)-induced rat model
  • 6. Materials & Methods Image and Statistical Analysis ▪ Sampling: 6 image acquisitions throughout liver 4 - 6 ROIs/image ▪ Echo-intensity = mean brightness of ROIs ▪ Heterogeneity = variance of 1st order histogram ▪ Intragroup Δ (temporal progression): ANOVA with subsequent t-tests between three timepoints ▪ Intergroup Δ (DEN vs control): Two-sided t-tests at each timepoint
  • 7. ▪ Preparation of H&E and trichrome stains ▪ METAVIR grading by veterinary pathologist ▪ Spearman correlation between sonographic parameters and METAVIR score Materials & Methods Pathologic Validation
  • 8. DENControl 10 weeks0 weeks 13 weeks Results Echointensity * * * p = 0.001 0w 10w 13w Control 38.1 38.2 38.4 DEN 38.1 56.5 59.6 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 Echointensity
  • 9. Echo-intensity: 10 weeks (p = 0.0013), 13 weeks (p = 0.0002) DENControl 10 weeks0 weeks 13 weeks Results Heterogeneity ** * * ** p = 0.005 0w 10w 13w Control 275.3 247.8 245.5 DEN 246.6 524.9 480.7 0.0 100.0 200.0 300.0 400.0 500.0 600.0 700.0 Heterogeneity
  • 10. ▪ DEN rats: METAVIR grades F2-F4 ▪ Control rats: F0 F3 F4F2 Results Histology
  • 11. Results Correlation of 13w sonographic data with METAVIR score Echointensity vs. Fibrosis grade Heterogeneity vs. Fibrosis grade Rho = 0.8242 p = 0.0003 Rho = 0.8287 p = 0.0002
  • 12. Different grades of fibrosis show separate populations based on echointensity and heterogeneity Results Population grouping of METAVIR grades by sonographic measures F 4 F 0 F 2 F 3
  • 13. Limitations ◼ Limited data for intermediate stages of fibrosis→ Image and sacrifice at earlier time points ◼ Similarities in characterization of F2/F3 lesions→ Further characterization with additional computerized features
  • 14. Conclusion ◼ B-mode US tracks fibrotic changes in a rat model. ◼ Sonographic features correlate to histology. ◼ Potential role for B-mode US for the non-invasive measurement of liver fibrosis.
  • 15. Future Directions ◼ Preclinical correlation of sonographic features to HCC development ◼ Rat model comparison to fibroscan results ◼ Comparison of biopsy-proven METAVIR fibrosis scoring with clinical ultrasound measurements

Editor's Notes

  1. The most common serious complication of liver biopsy is intraperitoneal hemorrhage, although hematoma and hemobilia can also occur. Other potential complications of liver biopsy include right upper abdominal pain, right shoulder pain, bile peritonitis or pneumothorax. lobar difference between METAVIR grades in up to 24.2% of cases1
  2. Intragroup Δ (temporal progression): ANOVA Intergroup Δ (DEN vs control): Two-sided t-tests at each timepoint
  3. Collaboration with colleagues in the vet school→ certified veterinary pathologist blinded to the imaging results graded the histology
  4. Echo-intensity: Mean liver echo-intensity increased from 42.9 at baseline to 56.4 at 10 weeks (p = 0.0013) reaching the level of 59.9 at 13 weeks (p = 0.0002) from DEN starting time.
  5. Echo-intensity: Mean liver echo-intensity increased from 42.9 at baseline to 56.4 at 10 weeks (p = 0.0013) reaching the level of 59.9 at 13 weeks (p = 0.0002) from DEN starting time.
  6. Have an animal model that is useful for studying fibrosis→ US can be used to track changes Quantitative texturized computer analysis captures the fibrotic changes in an animal model
  7. Have an animal model that is useful for studying fibrosis→ US can be used to track changes Quantitative texturized computer analysis captures the fibrotic changes in an animal model
  8. Have an animal model that is useful for studying fibrosis→ US can be used to track changes Quantitative texturized computer analysis captures the fibrotic changes in an animal model