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Semiautomatic Assessment of the Terminal Ileum and Colon in Patients with Crohn Disease Using MRI (the VIGOR++ Project)

Rationale and Objectives

The objective of this study was to develop and validate a predictive magnetic resonance imaging (MRI) activity score for ileocolonic Crohn disease activity based on both subjective and semiautomatic MRI features.

Materials and Methods

An MRI activity score (the “virtual gastrointestinal tract [VIGOR]” score) was developed from 27 validated magnetic resonance enterography datasets, including subjective radiologist observation of mural T2 signal and semiautomatic measurements of bowel wall thickness, excess volume, and dynamic contrast enhancement (initial slope of increase). A second subjective score was developed based on only radiologist observations. For validation, two observers applied both scores and three existing scores to a prospective dataset of 106 patients (59 women, median age 33) with known Crohn disease, using the endoscopic Crohn’s Disease Endoscopic Index of Severity (CDEIS) as a reference standard.

Results

The VIGOR score (17.1 × initial slope of increase + 0.2 × excess volume + 2.3 × mural T2) and other activity scores all had comparable correlation to the CDEIS scores (observer 1: r = 0.58 and 0.59, and observer 2: r = 0.34–0.40 and 0.43–0.51, respectively). The VIGOR score, however, improved interobserver agreement compared to the other activity scores (intraclass correlation coefficient = 0.81 vs 0.44–0.59). A diagnostic accuracy of 80%–81% was seen for the VIGOR score, similar to the other scores.

Conclusions

The VIGOR score achieves comparable accuracy to conventional MRI activity scores, but with significantly improved reproducibility, favoring its use for disease monitoring and therapy evaluation.

Introduction

Crohn disease (CD) is an inflammatory bowel disease, which can present throughout the gastrointestinal tract, particularly affecting the small bowel and the colon. Magnetic resonance imaging (MRI) is increasingly used for diagnosis and phenotyping of CD because it is safe, noninvasive, and has high accuracy for evaluating enteric disease and extramural complications . MRI features such as wall thickness and T1 and T2 bowel wall signals have been validated as biomarkers of CD activity, demonstrating good correlation with endoscopic and histopathologic grading of inflammation . Recent years have seen several MRI disease activity scores being developed and externally validated, combining multiple MRI features to predict overall disease activity . These scores are gradually disseminating into clinical practice, although at present, they are predominantly employed as research tools. The magnetic resonance index of activity (MaRIA), for example, has been developed using the Crohn’s Disease Endoscopic Index of Severity (CDEIS) as a reference standard. The MaRIA is based on quantitative measurement of bowel wall relative contrast enhancement, along with subjective evaluation of mural ulceration and abnormal T2 signal . Other indices, such as the London score and the Crohn disease MRI index (CDMI), rely on qualitative grading of various features by reporting radiologists . Such activity scores can be applied to individual bowel segments, as well as to the patient as a whole, as both are important to clinical management. Before MRI scores can be widely adopted for evaluating disease activity and therapeutic monitoring, high accuracy across the spectrum of disease severity and good reproducibility among radiologists must be proven. The current literature, however, reports variable reproducibility for many features used in MRI activity scores .

One potential solution to the current limitations of MRI activity scoring is to incorporate novel software solutions, which can automatically extract relevant features from MRI data. Such software could reduce both interobserver variability and the risk of observer bias inherent to subjective evaluation . New MRI image processing methods are available, which give semiautomatic measurements of bowel wall thickness, providing superior reproducibility over manual measurement . Further techniques have been developed that automatically extract perfusion parameters from motion corrected free-breathing dynamic contrast-enhanced (DCE) MRI . Although several studies have shown the potential of semiautomatic MRI assessment of CD , none of those have examined clinical practicability or validated their results using a large, independent cohort.

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Materials and Methods

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Phase 1—Model Development

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Phase 2—Prospective Activity Score Testing and Model Comparison

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Reference Standard

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MRI Protocol

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Image Analysis

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Semiautomatic Measurements

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Figure 1, (a) Placement of centerline points in the lumen of an affected transverse colon segment on a coronal contrast-enhanced 3D T1-weighted SPGE image with fat saturation. A few centerline points are placed in the middle of the lumen in one or more slices ( yellow dots ). (b) The delineation of the inner and outer bowel wall surfaces is visualized by a red lines . Presently, this is shown on a coronal slice but can be visualized in a similar way in reconstructed sagittal or transversal planes.

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Validation of MRI Activity Scores and Statistical Analysis

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Results

Phase 1—Model Development

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VIGOR score=17.1×ISI+0.2×excess volume+2.3×mural T2 VIGOR score

=

17.1

×

ISI

+

0.2

×

excess volume

+

2.3

×

mural T

2

Subjective score=0.03×RCE+0.9×mural thickness(mm)+3×mural T2 Subjective score

=

0.03

×

RCE

+

0.9

×

mural thickness

(

mm

)

+

3

×

mural T

2

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Phase 2—Prospective Activity Score Testing and Comparison

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Figure 2, Flow diagram detailing patient inclusions and exclusions.

Table 1

Clinical Characteristics of the Prospective Cohort

Total no. of patients 106 Female, n (%) 59 (56) Age at MRI (y), median (IQR) 33 (26–44) Previous surgery, n (%) 42 (40) Concomitant treatments Anti-TNF antibodies, n (%) 30 (28) Steroids, n (%) 18 (17) Thiopurines, n (%) 14 (13) 5-ASA, n (%) 19 (18) Methotrexate, n (%) 8 (8) CRP (mg/L), median (IQR) 5 (1–13) HBI value, median (IQR) 5 (2–8) CDEIS score, median (IQR) 3.2 (0.5–6.4) Montreal classification Age at diagnosis (y), median (IQR) 22 (17–28) Disease location L1 ileal, n (%) 43 (41) L2 colonic, n (%) 15 (14) L3 ileocolonic, n (%) 48 (45) L4 upper GI tract involvement, n (%) 4 (4) Disease behavior B1 inflammatory 54 (51) B2 stricturing 36 (34) B3 penetrating 16 (15) Perianal involvement, n (%) 23 (22)

5-ASA, 5-acetylsalicylic acid; CDEIS, Crohn’s Disease Endoscopic Index of Severity; CRP, C-reactive protein; GI, gastrointestinal; HBI, Harvey-Bradshaw Index; IQR, interquartile range; MRI, magnetic resonance imaging; TNF, tumor necrosis factor.

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Table 2

Segment Inclusions and Exclusions

Active Segments Subset ( n = 50), All Segments Subset ( n = 50), Rectum Excluded Ob1 Ob2 Ob1 Ob2 Ob1 Ob2 Total no. of segments \* 88 95 230 229 186 187 Inclusions (%) 73 (83) 69 (73) 167 (73) 161 (70) 161 (87) 153 (82) Terminal ileum 54 49 39 41 39 41 Ascending colon 9 9 44 41 44 41 Transverse colon 4 2 39 38 39 38 Descending/sigmoid colon 6 9 39 33 39 33 Rectum 0 0 6 8 — — Exclusions (%) 15 (17) 26 (27) 63 (27) 68 (30) 25 (13) 34 (18) Outside DCE 3 7 42 40 12 13 Failed DCE registration 7 7 1 1 1 1 Fecal residue 3 1 6 6 2 2 Poor distension 0 2 6 6 3 3 Artifacts 0 2 0 1 0 1 Failed segmentation 2 7 8 14 7 14

DCE, dynamic contrast enhanced; Ob1, observer 1; Ob2, observer 2.

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Model Validation and Comparison

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Table 3

Correlations Between MRI Activity Scores and Crohn’s Disease Endoscopic Index of Severity (CDEIS) and Interobserver Agreement in the Active Segments of the Full Prospective Cohort

Observer 1

( n = 73) Observer 2

( n = 69) Interobserver Agreement

( n = 56) MRI Features_r__P_ Value_r__P_ Value ICC (95% CI) VIGOR score 0.58 <.001 0.59 <.001 0.81 (0.56–0.91) Subjective score 0.39 .001 0.51 <.001 0.44 (0.21–0.63) MaRIA 0.40 .001 0.43 <.001 0.44 (0.21–0.63) London score 0.38 .001 0.45 <.001 0.47 (0.24–0.65) CDMI 0.34 .003 0.48 <.001 0.59 (0.40–0.74)

CDMI, Crohn disease MRI index; CI, confidence interval; ICC, intraclass correlation coefficient; MaRIA, magnetic resonance index of activity; MRI, magnetic resonance imaging; VIGOR, virtual gastrointestinal tract.

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Table 4

Interobserver Agreement for Segmental Scores of the 50-Patient Subset in Active Segments and in All Segments

Active ( n = 43) All ( n = 146) MRI Features ICC (95% CI) ICC (95% CI) Nonparametric ICC (Rothery) VIGOR score 0.70 (0.51–0.82) 0.87 (0.83–0.91) 0.89 Subjective score 0.44 (0.16–0.65) 0.77 (0.69–0.83) 0.53 MaRIA 0.45 (0.18–0.66) 0.77 (0.69–0.83) 0.33 London score 0.44 (0.16–0.65) 0.81 (0.75–0.86) 0.53 CDMI 0.55 (0.30–0.73) 0.86 (0.81–0.90) 0.56

CDMI, Crohn disease MRI index; CI, confidence interval; ICC, intraclass correlation coefficient; MaRIA, magnetic resonance index of activity; MRI, magnetic resonance imaging; VIGOR, virtual gastrointestinal tract.

Original ICC values are shown for both groups, whereas the nonparametric ICC is shown for all segments to account for the skewed distribution in this dataset.

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Diagnostic Accuracy

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Table 5

Diagnostic Accuracy for Segmental Magnetic Resonance Imaging Activity Scores for Detection of Active Disease (Crohn’s Disease Endoscopic Index [CDEIS] ≥ 3)

Observer 1 Observer 2 Sensitivity (%) Specificity (%) PPV (%) NPV (%) Accuracy (%) Sensitivity (%) Specificity (%) PPV (%) NPV (%) Accuracy (%) VIGOR score 76 84 63 90 81 74 82 58 90 80 Subjective score 78 67 47 89 70 74 82 58 90 80 MaRIA 67 86 64 88 81 64 91 71 88 84 London score 60 96 84 87 86 57 94 77 86 84 CDMI 60 92 73 86 83 62 91 72 87 83

CDMI, Crohn disease MRI index; MaRIA, magnetic resonance index of activity; NPV, negative predictive value; PPV, positive predictive value; VIGOR, virtual gastrointestinal tract.

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Discussion

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Acknowledgments

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Supplementary Data

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Appendix S1

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