| Literature DB >> 30944110 |
Dominik Bettenworth1, Arne Bokemeyer1, Mark Baker2, Ren Mao3,4, Claire E Parker5, Tran Nguyen5, Christopher Ma5,6, Julián Panés7, Jordi Rimola8, Joel G Fletcher9, Vipul Jairath5,10,11, Brian G Feagan5,10,11, Florian Rieder4,12.
Abstract
Patients with Crohn's disease commonly develop ileal and less commonly colonic strictures, containing various degrees of inflammation and fibrosis. While predominantly inflammatory strictures may benefit from a medical anti-inflammatory treatment, predominantly fibrotic strictures currently require endoscopic balloon dilation or surgery. Therefore, differentiation of the main components of a stricturing lesion is key for defining the therapeutic management. The role of endoscopy to diagnose the nature of strictures is limited by the superficial inspection of the intestinal mucosa, the lack of depth of mucosal biopsies and by the risk of sampling error due to a heterogeneous distribution of inflammation and fibrosis within a stricturing lesion. These limitations may be in part overcome by cross-sectional imaging techniques such as ultrasound, CT and MRI, allowing for a full thickness evaluation of the bowel wall and associated abnormalities. This systematic literature review provides a comprehensive summary of currently used radiologic definitions of strictures. It discusses, by assessing only manuscripts with histopathology as a gold standard, the accuracy for diagnosis of the respective modalities as well as their capability to characterise strictures in terms of inflammation and fibrosis. Definitions for strictures on cross-sectional imaging are heterogeneous; however, accuracy for stricture diagnosis is very high. Although conventional cross-sectional imaging techniques have been reported to distinguish inflammation from fibrosis and grade their severity, they are not sufficiently accurate for use in routine clinical practice. Finally, we present recent consensus recommendations and highlight experimental techniques that may overcome the limitations of current technologies. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: Crohn’s disease; fibrosis
Mesh:
Year: 2019 PMID: 30944110 PMCID: PMC6580870 DOI: 10.1136/gutjnl-2018-318081
Source DB: PubMed Journal: Gut ISSN: 0017-5749 Impact factor: 23.059
Overview of radiographic criteria used in currently available cross-sectional imaging studies to detect fibrostenosis in patients with stricturing Crohn’s disease. All studies use histopathology as a reference standard
| Study ID | Radiographic modality | Radiographic criteria assessed for stricture detection | Criteria required for stricture diagnosis | |||
| Prestenotic dilation | Luminal narrowing | Wall thickening | ||||
| Ultrasound (US) | Baumgart | Ultrasound elasticity imaging |
|
| ✔ | Not further specified |
| Kumar | SICUS |
|
| ✔ | Wall thickening | |
| Maconi | TUS | ✔ | ✔ Markedly narrowed lumen | ✔ | All criteria required | |
| Onali | SICUS |
| ✔ |
| Luminal narrowing | |
| Pallotta | SICUS | ✔ | ✔ |
| Luminal narrowing | |
| Ripollés | CEUS | ✔ |
| ✔ | Not further specified | |
| Serra | CEUS | ✔ | ✔ | ✔ | All criteria required | |
| Stidham | US elasticity | Not indicated | Not indicated | Not indicated | Not further specified | |
| Wilkens | CEUS |
|
| ✔ | Not further specified | |
| CT | Adler | CT enterography | ✔ | ✔ | ✔ | Not further specified |
| Chiorean | CT enteroclysis | ✔ | ✔ | ✔ | Luminal narrowing | |
| Pellino | PET/CT |
|
| ✔ | Not further specified | |
| Vogel | CT enterography | ✔ | ✔ | ✔ | Luminal narrowing and wall thickening | |
| MRI | Kumar | MR enterography | ✔ |
| ✔ | Not further specified |
| Li | MT-MRI | Not indicated | Not indicated | Not indicated | Not further specified | |
| Pellino | PET/MR |
|
| ✔ | Not further specified | |
| Pous-Serrano | MR enterography | Not indicated | Not indicated | Not indicated | Not further specified | |
| Punwani | MR enterography |
|
| ✔ | Not further specified | |
| Rimola | MR enterography | ✔ | ✔ Luminal narrowing ≤50% | ✔ | Luminal narrowing ≤50% and prestenotic dilation | |
| Sinha | MR enterography | ✗ |
| ✔ | Not further specified | |
| Steward | MR enterography |
|
| ✔ | Not further specified | |
| Tielbeek | MR enterography diffusion-weighted MRI |
|
| ✔ | Not further specified | |
| Wagner | Diffusion-weighted MRI | ✔ |
| ✔ | Not further specified | |
| Wilkens | Dynamic contrast-enhanced MR enterography |
|
| ✔ | Not further specified | |
| Zappa | MR enterography | ✔ |
| ✔ | Not further specified | |
CEUS, contrast-enhanced ultrasound; MT, magnetisation transfer; PET, positron emission tomography; SICUS, small intestinal contrast ultrasonography; TUS, transabdominal ultrasonography; US, ultrasound.
Figure 1Transabdominal ultrasonography, CT and MR enterography demonstrating a distal ileal stricture. (A) Ultrasound image depicting the three core items for stricture diagnosis wall thickness (W, bracket), luminal narrowing (L, bracket) and prestenotic dilation (D, double arrow). (B–D) CT enterography demonstrating a distal ileal stricture with imaging findings of active inflammation and partial small bowel obstruction. (B) Coronal image demonstrating a distal ileal stricture with wall thickening, luminal narrowing and mural stratification and hyperenhancement (large white arrow). Active inflammatory Crohn’s disease is also present in the terminal ileum (arrowhead), as is a short segment jejunal stricture (small white arrow). (C) Enlarged axial image through distal ileal stricture better demonstrates luminal narrowing and increased wall thickness (W, bracket). (D) Sagittal image through distal ileal stricture shows prestenotic bowel dilation (D, arrows) and luminal narrowing within the stricture (L, bracket). (E–G) MR enterography demonstrating a distal ileal stricture with imaging findings of active inflammation. (E) Coronal half-Fourier single-shot fast spin echo (HASTE) shows ileal stricture with wall thickening and luminal narrowing (large white arrow) with upstream dilation (D, arrows). (F) Axial HASTE shows cross section through the stricture demonstrating increased wall thickness and how wall thickening is measured (W, white bracket). (G) Postcontrast axial 3D volumetric interpolated breath hold examination (VIBE) shows wall thickening and mural stratification and hyperenhancement, indicating inflammation with luminal narrowing (L, bracket). The three core items for stricture diagnosis are increased wall thickness, luminal narrowing and prestenotic dilation. CTE, CT enterography; MRE, MR enterography.
Figure 2Proposed ranges for key items used for stricture detection in cross-sectional imaging modalities. US, ultrasound.
Overview of currently available studies assessing the sensitivity and specificity of cross-sectional imaging for the detection of Crohn’s disease-associated strictures that use histopathology as a reference standard
| Study ID | Study design | Patients with stricture (n) | Reference standard or comparator | Radiographic modality | Sensitivity for stricture diagnosis | Specificity for stricture diagnosis | |
| Ultrasound (US) | Maconi | Prospective cohort Mean age (years): 40 Female (%): 42 | 43 | Histopathology (resection) | TUS | 100% | 63% |
| Kumar | Retrospective cohort Mean age (years): 28 Female (%): 52 | 8 | Histopathology (resection) | SICUS, with power Doppler | SICUS 88% | SICUS 88% | |
| Onali | Prospective case–control Mean age (years): 41 Female (%): 46 | 13 | Histopathology (resection) | SICUS | SICUS 92% | SICUS 0% | |
| Pallotta | Prospective cohort Mean age (years): 38 Female (%): 43 | 40 | Histopathology (resection) | SICUS | SICUS 97.5% | SICUS 100% | |
| CT | Chiorean | Retrospective cohort Median age (years): 35 Female (%): 61 | 31 | Histopathology (resection) | CT enteroclysis | 92.3% | 38.9% |
| Pellino | Prospective cohort Median age (years): 39 Female (%): 60 | 31 | Histopathology (resection) | Hybrid positron emission tomography/CT enterography | 85% | NR | |
| Vogel | Retrospective cohort Mean age (years): 39 Female (%): 64 | 18 | Histopathology (resection) | CT enterography | 100% | 100% | |
| MRI | Kumar | Retrospective cohort Mean age (years): 31 Female (%): 35 | 8 | Histopathology (resection) | MR enterography | 100% | 91% |
| Pellino | Prospective cohort Median age (years): 39 Female (%): 60 | 31 | Histopathology (resection) | Hybrid positron emission tomography/MR enterography | 85% | NR | |
| Pous-Serrano | Prospective cohort Age (years): not provided Female (%): 42 | 27 | Histopathology (resection) | MR enterography | 75% | 96% | |
| Sinha | Prospective cohort Median age (years): 43 Female (%): 59 | 49 | Histopathology (resection) | HR MR enterography | 86% | 95% |
HR, high resolution; NR, not reported; SICUS, small intestinal contrast ultrasonography; TUS, transabdominal ultrasonography.
Overview of currently available cross-sectional imaging studies assessing the inflammatory and fibrotic characteristics of Crohn’s disease strictures that use histopathology as reference standard
| Study ID | Study design | Patients with strictures (n) | Reference standard or comparator | Cross-sectional modality | Cross-sectional descriptors for stricture characterisation | Differentiation of fibrosis and inflammation in CD strictures | ||
| Details to applied differentiation between fibrosis and inflammation | Details to sensitivity/specificity rates; area under the curve (AUC) analysis | |||||||
| Ultrasound (US) | Baumgart | Prospective cohort | 10 | Histopathology (resection) | Ultrasound elasticity imaging (UEI) |
Strain ratio measurement |
Successful differentiation of fibrotic from non-fibrotic tissue |
Strain ratio was significantly higher in unaffected than in affected segments (p<0.001) |
| Maconi | Prospective cohort | 43 | Histopathology (resection) | Ultrasound |
Evaluation of echo pattern: hypoechoic/stratified or mixed echo pattern |
Successful general differentiation in inflammatory, mixed and fibrotic strictures |
Echo pattern (mixed/stratified vs hypoechoic) was able to identify a moderate-severe or intermediate degree of fibrosis in the submucosa and the muscularis mucosae with a sensitivity of 100%, a specificity of 63%, a positive predictive value of 72% and a negative predictive value of 100% | |
| Ripollés | Prospective cohort | 25 | Histopathology (resection) | CEUS |
Assessment of wall thickness; inflammatory markers: loss of stratification, transmural complications, lymphadenopathy, US Doppler signal grade 2–3, quantitative CE >46%; fibrostenosis: stenosis, prestenotic dilation, US Doppler signal grade 0–1, quantitative CE <46% |
Successful general differentiation in inflammatory and fibrotic strictures |
When strictures were dichotomised (inflammatory or fibrotic), 82% of strictures were correctly classified by US (kappa=0.63) Sonographic and pathology scores showed a good correlation in inflammation (Spearman’s, r=0.53) and fibrosis (Spearman’s, r=0.5) | |
| Serra | Prospective cohort | 26 | Histopathology (resection) | UEI |
Strain ratio measurement |
Unsuccessful differentiation in fibrosis and inflammation |
No correlation was found between strain ratio and fibrosis (p=0.87) No correlation was found between strain ratio and inflammation (p=0.53) | |
| Stidham | Prospective cohort | 7 | Histopathology (resection) | UEI |
Fibrostenosis assessed by UEI strain maps and measures of strain in affected and unaffected bowel; low strain (hard tissue with limited deformation), high strain (soft, deformable tissue); mean UEI normalised strain | NR | NR | |
| Wilkens | Prospective cohort | NR | Histopathology (resection) | CEUS |
CEUS: peak signal intensity, time to peak, area under the time-intensity curve, wash-in rate, wash-out rate, wash-in perfusion index, area under the curve during wash-in and wash-out, fall time, mean transit time |
Unsuccessful differentiation in none, mild/moderate to severe fibrosis and inflammation using CE imaging Successful determination of the degree of inflammation and fibrosis (none, mild/moderate to severe) using US without CE effects; however, no safe differentiation between fibrosis and inflammation |
No correlation was found between the severity of inflammation or fibrosis on histopathology and on CEUS (p=0.45 for inflammation and p=0.19 for fibrosis) Wall thickness assessed by US correlated with both histological inflammation (p=0.001) and fibrosis (p=0.048) | |
| CT | Adler | Retrospective cohort | 22 | Histopathology (resection) | CT enterography |
Composite CTE evaluation score (abnormal mucosal/mural enhancement, mesenteric hypervascularity, mesenteric inflammatory fat stranding and bowel wall thickening) |
Successful differentiation of inflammation in subgrades and successful differentiation of fibrosis in subgrades; however, no safe differentiation between fibrosis and inflammation |
Composite CTE radiologic inflammation score correlated well with the degree of inflammation (r=0.52; p=0.014) Composite CTE radiologic inflammation score correlated with the degree of fibrosis (r=0.48; p=0.023) Degree of tissue inflammation correlated best with the degree of tissue fibrosis (r=0.52; p=0.014) Inactive strictures on CTE score were not associated with fibrosis (p value not provided) |
| Chiorean | Retrospective cohort | 44 | Histopathology (resection) | CT enterography |
Assessment of inflammation using a four-grade scale (none, mild, moderate and severe) and of fibrosis using a three-grade scale (none, mild/moderate and severe). Considered were CE, mural stratification, wall thickness, comb sign, lymphadenopathy, luminal stenosis and prestenotic dilation |
Successful differentiation of inflammation and fibrosis in subgrades |
CT inflammation score exactly matched with pathology in 77% CT fibrosis score exactly matched with pathology in 79% | |
| Pellino | Prospective cohort | 29 | Histopathology (resection) | PET-CT enterography |
Assessment of the maximum standard value of the tracer (SUVs) |
Successful differentiation of fibrotic from non-fibrotic strictures |
AUC to differentiate fibrotic from non-fibrotic strictures 0.51 using the maximum uptake of the tracer (SUVs) | |
| MRI | Li | Prospective cohort | 31 | Histopathology (resection) | MT-MRI compared with DWI-MRI and CE-MRI | Assessment of the bowel wall MT ratio normalised to skeletal muscle, the ADC and the percentage of enhancement gain |
Successful differentiation of fibrotic subgrades using MT-MRI Successful differentiation from inflammatory and fibrotic strictures using MT-MRI Unsuccessful differentiation of inflammatory subgrades using MT-MRI |
Correct diagnosis of fibrosis (r=0.77; p=0.000) and detection of differences in MT ratios between none, mild, moderate and severe fibrosis ( No correlation between MT ratios and inflammatory scores (r=−0.034; p=0.74) Correct differentiation of mixed fibrotic and inflammatory bowel walls compared with bowel walls with only inflammation present (p=0.001) |
| Pellino | Prospective cohort | 29 | Histopathology (resection) | PET-MR enterography (and PET-CT enterography) |
Assessment of the maximum standard uptake value of the tracer (SUVs) |
Successful differentiation of fibrotic from non-fibrotic strictures |
AUC to differentiate fibrotic from non-fibrotic strictures 0.77 using the maximum uptake of the tracer (SUVs) | |
| Puwani 2009 | Prospective cohort | NR | Histopathology (resection) | MR enterography |
Mural thickness, mural and lymph node cerebrospinal fluid signal intensity on T2-weighted fat-saturated images, contrast uptake, enhancement pattern and mesenteric signal |
Successful differentiation in different inflammation grades using a stepwise scoring system (min 0, max 12 points) Successful differentiation of fibrotic from non-fibrotic strictures |
Fibrosis was more commonly associated with layered enhancement (75%) and homogeneous mural enhancement was most commonly associated with the absence of fibrostenosis (92%) | |
| Rimola | Retrospective cohort | 41 | Histopathology (resection) | MR enterography T2-weighted with and without fat saturation, T1-weighted 3D gradient echo with fat saturation sequences 70 s and 7 min after gadolinium administration |
Baseline and postcontrast wall signal intensity at 70 s and 7 min measured in VIBE images, mucosal hyperenhancement at 70 s and 7 min, pattern of enhancement, stability and progression of enhancement over time, bowel wall thickness, presence of high signal intensity on T2 (HASTE) and T2 with fat saturation, ulcerations, comb sign, blurred margins and presence of enlarged lymph nodes |
Successful differentiation in low from moderate/severe inflammation Successful differentiation of mild-moderate from severe fibrosis |
Inflammation was associated with hypersignal on T2 (p=0.02), mucosal enhancement (p=0.03), ulcerations (p=0.01) and blurred margins (p=0.05) Fibrosis was associated with percentage of enhancement gain (p<0.01), pattern of enhancement at 7 min (0<0.01) and the presence of stenosis (p=0.05). Using percentage of enhancement gain, MRI discriminated mild-moderate and severe fibrosis with an AUC of 0.93, a sensitivity of 94% and a specificity of 89% | |
| Tielbeek 2013 | Prospective cohort | 20 | Histopathology (resection) | MR enterography with diffusion-weighted imaging (DWI) T2W SSFSE, DWI-sequence, 3D T1W SPGE, DCE sequence, T1W SPGE |
Mural thickness, T1 ratio, T2 mural/CSF ratio, T2 mural mesentery ratio, mural contrast enhancement (maximum enhancement, slope of increase and time to peak), enhancement pattern, comb sign and creeping fat, apparent diffusion coefficient (ADC) |
Successful differentiation in different inflammation grades using a stepwise scoring system (min 0, max 13 points) Successful differentiation in minimal, mild or massive fibrosis |
Mural thickness, T1 ratio, T2 ratio, maximum contrast enhancement and the slope of increase after contrast injection correlated significantly with inflammation (r=0.63, 0.39, 0.49, 0.41 and 0.53, respectively; all p<0.05) Mural thickness, T1 ratio, T2 ratio, maximum enhancement, the slope of increase after contrast injection and the ADC correlated significantly with fibrosis (all p<0.05) | |
| Wagner | Retrospective cohort | 35 | Histopathology (resection) | MRI with DWI T2W SSFSE without FS, 2D and 3D T1W in-phase and out-of-phase, T2W FSE with fat suppression, DWI, T1W GRE with FS, postcontrast FS T1W VIBE or LAVA |
Length of involved bowel (cm), degree and pattern of enhancement of the bowel wall (homogeneous vs inhomogeneous vs layered pattern), presence of upstream dilation, bowel thickness, enhancement ratio, ADC, presence of fistulas/abscesses/ulceration, presence of oedema, comb sign MR Index of Activity (MaRIA; composite of the bowel wall thickness, the degree of contrast enhancement, the presence of oedema and of ulcers) and Clermont scores |
Successful differentiation of high from low-grade inflammation Successful differentiation of fibrosis from muscular hypertrophy |
Combination of the ADC<1.11×10−3 mm2/s and the MaRIA≥26.1 had a sensitivity of 47% and a specificity of 92% to differentiate high from low-grade inflammation Combination of the ADC<1.11×10−3 mm2/s and a wall thickness on T1W postcontrast higher than 5.9 mm had a sensitivity of 65% and a specificity of 83% to detect high from low-grade inflammation Analysing the bowel wall thickness on T2W (>7.4 mm) had a sensitivity of 61% and a specificity of 89% to differentiate fibrosis from muscular hypertrophy | |
| Wilkens | Prospective cohort | 25 | Histopathology (resection) | MR enterography/dynamic contrast-enhanced MRE (DCE-MRE) |
Measurements of bowel wall thickness, length of bowel involved, MRE global score (MEGS; combination of lymphadenopathy, comb sign, fistulae and abscesses), individual components of the MaRIA score (bowel wall thickness, the degree of contrast enhancement, the presence of oedema and of ulcers) |
Unsuccessful differentiation in none, mild/moderate to severe fibrosis/inflammation using CE imaging Successful determination of the degree of inflammation (none, mild/moderate to severe), but not fibrosis using US without CE effects |
No correlation was found between the severity of inflammation or fibrosis on histopathology and on contrast-enhanced MRI (p=0.54 for inflammation and p=0.05 for fibrosis) Wall thickness assessed by MRI was correlated with histological inflammation (p=0.047), but not fibrosis (p=0.16) | |
| Zappa | Retrospective cohort | 44 | Histopathology (resection) | MR enterography T2 SSTSE with FS, TrueFISP sequence, postcontrast 3D FLASH T1W |
Degree of bowel wall enhancement on T1W, pattern of enhancement (layered or homogeneous) on T1W, well-defined or blurred wall enhancement on delayed T1W, wall intensity on T2W, wall thickness, presence of upstream dilation, presence of fatty proliferation, comb sign, lymph nodes, presence of fistula/abscesses |
Successful differentiation of inflammation in low, moderate and severe stages Successful differentiation of fibrosis in low, moderate and severe stages |
Several MRI findings significantly correlated with pathological inflammatory grading: wall thickness (p<0.0001), degree of wall enhancement on delayed phase (p<0.0001), pattern of enhancement on both parenchymatous (p=0.02) and delayed phase (p=0.008), T2W relative hypersignal wall (p<0.0001), blurred wall enhancement (p=0.018), comb sign (p=0.004), fistula (p<0.0001) and abscesses (p=0.049) Several MRI findings significantly correlated with pathological fibrosis grading: wall thickness on T2W (p=0.0018) and T1W (p=0.004), T2W wall hyperintensity (p=0.026), comb sign (p=0.03) and fistula (p=0.001) The pathological inflammatory score correlated well with fibrosis score (p=0.0001) | |
| Consensus statement for MRI and CT | Bruining | Consensus statement | NR | Consensus statement | CT enterography |
Inflammatory assessment: consideration of criteria like the asymmetric wall thickening, the mural hyperenhancement, the presence of oedema, the presence of ulcers and the perienteric stranding Fibrotic assessment: criteria are currently under investigation | NR | |
CD, Crohn’s disease; CEUS, contrast-enhanced ultrasound; CE, contrast enhanced; CSF, cerebrospinal fluid; CTE, CT enterography; DCE, dynamic contrast enhanced; DW SE-EPI, diffusion-weighted spin-echo echo-planar imaging; FLASH, fast low-angle shot; FS, fat saturation; FSE, fast spin echo; GRE, gradient recalled echo; HASTE, half-Fourier single-shot turbo spin echo; LAVA, liver acquisition with volume acquisition spoiled gradient echo pulse sequence; MRE, MR enterography; MT, magnetisation transfer; NR, not reported; PET, positron emission tomography; RARE, rapid acquisition with relaxation enhancement; SPGE, spoiled gradient echo; SSFSE, single-shot fast spin echo; SSTSE, single-shot turbo spin echo; SUV, standard uptake value; T1W, T1 weighted; T2W, T2 weighted; TrueFISP, true fast imaging with steady-state precession; VIBE, volumetric interpolated breath hold examination.