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Table 2 Simple and multivariable linear regression analysis

From: Micro-CT yields high image quality in human fetal post-mortem imaging despite maceration

 

Head images

Chest images

Unadjusted

Adjusted

Unadjusted

Adjusted

OR

95% CI

p-value

R2 (%)

OR

95% CI

p-value

OR

95% CI

p-value

R2

OR

95% CI

p-value

Patient demographics

Gestational Age (weeks)

− 0.014

− 0.079, 0.052

0.678

0.1

0.076

− 0.000, 0.152

0.050

− 0.062

− 0.113, − 0.010

0.020

2.1

Post Mortem Interval (days)

− 0.008

− 0.039, 0.024

0.638

0.1

− 0.005

− 0.030, 0.020

0.685

0.1

Crown Rump Length (cm)

0.004

− 0.052, 0.060

0.891

0.0

− 0.034

− 0.078, 0.011

0.138

0.9

Crown Heel Length (cm)

0.012

− 0.027, 0.050

0.549

0.1

− 0.018

− 0.049, 0.013

0.254

0.5

Head Circumference (cm)

0.021

− 0.035, 0.077

0.464

0.2

− 0.005

− 0.050, 0.040

0.822

0.0

Post Mortem Weight (100 g)

− 0.004

− 0.263, 0.255

0.976

0.0

− 0.716

− 1.074, − 0.357

 < 0.001

− 0.029

− 0.235, 0.178

0.785

0.0

− 0.337

− 0.550, − 0.114

0.003

Ab on Micro-CT (ref = no)

Yes

0.232

− 0.139, 0.602

0.220

0.6

0.367

0.073, 0.660

0.015

2.6

Mode of death

(ref = IUD)

Miscarriage

0.619

0.126, 1.110

0.014

 

0.469

− 0.003, 0.940

0.051

0.219

− 0.170, 0.608

0.269

 

− 0.112

− 0.480, 0.256

0.548

TOP

1.170

0.623, 1.710

 < 0.001

6.9

0.826

0.253, 1.400

0.005

0.895

0.466, 1.320

 < 0.001

9.3

0.326

− 0.122, 0.775

0.152

Maceration score

(autopsy, ref = 0)

1

− 0.410

− 0.956, 0.136

0.140

 

− 0.523

− 1.027, − 0.020

0.042

− 0.450

− 0.874, − 0.026

0.038

 

− 0.616

− 1.003, − 0.229

0.001

2

− 1.110

− 1.85, − 0.376

0.003

 

− 0.931

− 1.652, − 0.211

0.012

− 0.655

− 1.230, − 0.081

0.026

 

− 0.815

− 1.370, − 0.260

0.004

3

− 0.690

− 1.050, − 0.330

 < 0.001

6.6

− 0.592

− 1.048, − 0.136

0.011

− 0.815

− 1.090, − 0.535

 < 0.001

11.6

− 0.830

− 1.158, − 0.500

 < 0.001

Tissue Preparation

Time to immersion (days)

− 0.006

− 0.037, 0.024

0.694

0.1

− 0.024

− 0.046, − 0.001

0.039

2.3

Time iodinated (days)

0.036

− 0.040, 0.111

0.357

0.5

0.038

− 0.018, 0.094

0.186

0.9

Imaging parameters

Kilovoltage (per 100)

− 0.095

− 1.210, 1.020

0.867

0.0

0.373

− 0.516, 1.260

0.410

0.3

Current (100 µA)

0.060

− 0.295, 0.415

0.740

0.0

− 0.170

− 0.463, 0.123

0.254

0.5

Power (10 W)

0.054

− 0.273, 0.381

0.744

0.0

− 0.099

− 0.367, 0.169

0.469

0.2

− 0.289

− 0.548, − 0.029

0.029

Projections (100 s)

0.095

0.065, 0.126

 < 0.001

12.8

0.102

0.070, 0.134

 < 0.001

0.060

0.031, 0.088

 < 0.001

6.0

0.044

0.015, 0.072

0.002

EPS (100 microns)

− 2.150

− 3.310, − 0.982

 < 0.001

4.9

− 1.650

− 2.590, − 0.701

 < 0.001

4.4

Exposure time (100 ms)

0.048

− 0.075, 0.170

0.445

0.2

0.071

− 0.027, 0.168

0.153

0.8

0.074

− 0.022, 0.170

0.132

Frames per projection

(ref = 1)

2

0.332

− 0.041, 0.706

0.081

 

0.600

0.291, 0.909

 < 0.001

 

0.639

0.341, 0.937

 < 0.001

4

− 0.093

− 1.210, 1.020

0.869

1.3

− 0.453

− 1.270, 0.360

0.273

7.3

0.178

− 0.566, 0.921

0.638

Target (ref = Mo)

W

0.165

− 0.383, 0.713

0.554

0.1

0.447

0.015, 0.879

0.043

1.6

0.358

− 0.058, 0.774

0.091

  1. Table 2 Simple and multivariable linear regression. Maceration was the main predictor of image quality, with poorer overall image quality at higher maceration scores. Higher gestational weight was also negatively associated with image quality in the adjusted models. Time to immersion was also negatively associated with image quality for chest images. The number of projections was the main imaging parameter associated with higher image quality scores
  2. OR: Odds ratio, CI: confidence interval