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Effect of Slice Thickness and Primary 2D Versus 3D Virtual Dissection on Colorectal Lesion Detection at CT Colonography in 452 Asymptomatic Adults

C. Daniel Johnson1, Joel G. Fletcher1, Robert L. MacCarty1, Jay N. Mandrekar2, William S. Harmsen2, Paul J. Limburg3 and Lynn A. Wilson1

1 Department of Radiology, Mayo Clinic, 200 First St., SW, Rochester, MN 55905.
2 Department of Biostatistics, Mayo Clinic, Rochester, MN.
3 Division of Gastroenterology, Mayo Clinic, Rochester, MN.


Figure 1
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Fig. 1A Correlation of 3D endoluminal virtual dissection display with traditional images at CT colonography in sigmoid colon of 70-year-old man. Typical 3D endoluminal virtual dissection display of 15-cm colonic segment. Diverticulum (arrow) and prominent fold (arrowhead) are correlated with 2D multiplanar and perspective, volume-rendered images for diagnosis.

 

Figure 2
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Fig. 1B Correlation of 3D endoluminal virtual dissection display with traditional images at CT colonography in sigmoid colon of 70-year-old man. Transverse image shows diverticulum (arrow) displayed in A.

 

Figure 3
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Fig. 1C Correlation of 3D endoluminal virtual dissection display with traditional images at CT colonography in sigmoid colon of 70-year-old man. Traditional perspective. Volume-rendered 3D endoluminal display shows that suspicious abnormality on virtual dissection image (arrowhead in A) is flexural fold (arrowhead).

 

Figure 4
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Fig. 1D Correlation of 3D endoluminal virtual dissection display with traditional images at CT colonography in sigmoid colon of 70-year-old man. Two-dimensional coronal reformation shows same colonic fold (arrow) seen in A (arrowhead, A) and C.

 

Figure 5
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Fig. 2 Flowchart shows randomization scheme for image interpretation. Each case was interpreted by two (radiologists A and B) of three radiologists using different slice thicknesses (1.25 vs 2.5 mm) and using 3D virtual dissection and primary 2D display with 3D problem solving. Same randomization scheme was used for radiologists A and C (151 patients) and for radiologists B and C (151 patients). Std = standard 2.5-mm slice thickness at 1.25-mm intervals, high = 1.25-mm slice thickness at 1.25-mm intervals, C = conventional viewing platform (2D with 3D problem solving), VP = virtual pathology viewing platform (3D with virtual dissection), 1st and 2nd = first and second reviews.

 

Figure 6
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Fig. 3A Missed cancers at index endoscopy. Prone axial CT colonography image in 65-year-old man shows large polyp in sigmoid colon (arrow) that was detected by both reviewers using every combination of slice thickness and primary search method. Histopathology showed 1.3-cm invasive adenocarcinoma invading submucosa but not muscularis propria with positive lymph nodes.

 

Figure 7
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Fig. 3B Missed cancers at index endoscopy. Prone axial CT colonography image in 70-year-old man shows large flat lesion (arrows) laterally in ascending colon. Lesion was detected by both reviewers using every combination of slice thickness and primary search method. Surgical specimen revealed 4-cm tubulovillous adenoma with focus of invasive adenocarcinoma.

 

Figure 8
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Fig. 3C Missed cancers at index endoscopy. Coronal 2D multiplanar reformation image in 65-year-old man shows large lobulated polyp (arrow) at rectosigmoid junction. Lesion was identified at three of four interpretations and missed by one reviewer using primary 2D search and 2.5-mm slice thickness. Surgical specimen revealed 3.2-cm invasive adenocarcinoma extending into pericolic fat.

 

Figure 9
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Fig. 3D Missed cancers at index endoscopy. Three-dimensional endoluminal virtual pathology image in 81-year-old man shows ileocecal valve (arrowhead) and cecal polyp (arrow). Polyp was detected at three of four interpretations and was missed using primary 3D search with virtual pathology and 1.25-mm slices. Histopathology results showed invasive adenocarcinoma invading pericolic fat.

 

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