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Alyami AS, Madkhali Y, Majrashi NA, Alwadani B, Elbashir M, Ali S, Ageeli W, El-Bahkiry HS, Althobity AA, Refaee T. The role of molecular imaging in detecting fibrosis in Crohn's disease. Ann Med 2024; 56:2313676. [PMID: 38346385 PMCID: PMC10863520 DOI: 10.1080/07853890.2024.2313676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 01/30/2024] [Indexed: 02/15/2024] Open
Abstract
Fibrosis is a pathological process that occurs due to chronic inflammation, leading to the proliferation of fibroblasts and the excessive deposition of extracellular matrix (ECM). The process of long-term fibrosis initiates with tissue hypofunction and progressively culminates in the ultimate manifestation of organ failure. Intestinal fibrosis is a significant complication of Crohn's disease (CD) that can result in persistent luminal narrowing and strictures, which are difficult to reverse. In recent years, there have been significant advances in our understanding of the cellular and molecular mechanisms underlying intestinal fibrosis in inflammatory bowel disease (IBD). Significant progress has been achieved in the fields of pathogenesis, diagnosis, and management of intestinal fibrosis in the last few years. A significant amount of research has also been conducted in the field of biomarkers for the prediction or detection of intestinal fibrosis, including novel cross-sectional imaging modalities such as positron emission tomography (PET) and single photon emission computed tomography (SPECT). Molecular imaging represents a promising biomedical approach that enables the non-invasive visualization of cellular and subcellular processes. Molecular imaging has the potential to be employed for early detection, disease staging, and prognostication in addition to assessing disease activity and treatment response in IBD. Molecular imaging methods also have a potential role to enabling minimally invasive assessment of intestinal fibrosis. This review discusses the role of molecular imaging in combination of AI in detecting CD fibrosis.
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Affiliation(s)
- Ali S. Alyami
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Yahia Madkhali
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Naif A. Majrashi
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Bandar Alwadani
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Meaad Elbashir
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Sarra Ali
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Wael Ageeli
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Hesham S. El-Bahkiry
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Abdullah A. Althobity
- Department of Radiological Sciences and Medical Imaging, College of Applied Medical Sciences, Majmaah University, Majmaah, Saudi Arabia
| | - Turkey Refaee
- Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
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Rimola J, Beek KJ, Ordás I, Gecse KB, Cuatrecasas M, Stoker J. Contemporary Imaging Assessment of Strictures and Fibrosis in Crohn Disease, With Focus on Quantitative Biomarkers: From the AJR Special Series on Imaging of Fibrosis. AJR Am J Roentgenol 2024; 222:e2329693. [PMID: 37530400 DOI: 10.2214/ajr.23.29693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Patients with Crohn disease commonly have bowel strictures develop, which exhibit varying degrees of inflammation and fibrosis. Differentiation of the distinct inflammatory and fibrotic components of strictures is key for the optimization of therapeutic management and for the development of antifibrotic drugs. Cross-sectional imaging techniques, including ultrasound, CT, and MRI, allow evaluation of the full thickness of the bowel wall as well as extramural complications and associated mesenteric abnormalities. Although promising data have been reported for a range of novel imaging biomarkers for detection of fibrosis and quantification of the degree of fibrosis, these biomarkers lack sufficient validation and standardization for clinical use. Additional methods, including PET with emerging radiotracers, artificial intelligence, and radiomics, are also under investigation for stricture characterization. In this review, we highlight the clinical relevance of identifying fibrosis in Crohn disease, review the histopathologic aspects of strictures in Crohn disease, summarize the morphologic imaging findings of strictures, and explore contemporary developments in the use of cross-sectional imaging techniques for detecting and characterizing intestinal strictures, with attention given to emerging quantitative biomarkers.
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Affiliation(s)
- Jordi Rimola
- Radiology Department, IBD Unit, Hospital Clínic de Barcelona, Villarroel 170, Escala 3, Planta 1, Barcelona 08036, Spain
- Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Kim J Beek
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Ingrid Ordás
- Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Gastroenterology Department, IBD Unit, Hospital Clínic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
| | - Krisztina B Gecse
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Míriam Cuatrecasas
- Institut d'Investigació Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBEREHD), Madrid, Spain
- Pathology Department, IBD Unit, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Jaap Stoker
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
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Liu W, Wang X, Xie S, Liu WV, Masokano IB, Bai Y, Chen J, Zhong L, Luo Y, Zhou G, Li W, Pei Y. Amide proton transfer (APT) and magnetization transfer (MT) in predicting short-term therapeutic outcome in nasopharyngeal carcinoma after chemoradiotherapy: a feasibility study of three-dimensional chemical exchange saturation transfer (CEST) MRI. Cancer Imaging 2023; 23:80. [PMID: 37658446 PMCID: PMC10474660 DOI: 10.1186/s40644-023-00602-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/20/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND The three-dimensional chemical exchange saturation transfer (3D CEST) technique is a novel and promising magnetic resonance sequence; however, its application in nasopharyngeal carcinoma (NPC) lacks sufficient evaluation. This study aimed to assess the feasibility of the 3D CEST technique in predicting the short-term treatment outcomes for chemoradiotherapy (CRT) in NPC patients. METHODS Forty NPC patients and fourteen healthy volunteers were enrolled and underwent the pre-treatment 3D CEST magnetic resonance imaging and diffusion-weighted imaging (DWI). The reliability of 3D CEST was assessed in healthy volunteers by calculating the intra- and inter-observer correlation coefficient (ICC) for amide proton transfer weighted-signal intensity (APTw-SI) and magnetization transfer ratio (MTR) values. NPC patients were divided into residual and non-residual groups based on short-term treatment outcomes after CRT. Whole-tumor regions of interest (ROIs) were manually drawn to measure APTw-SI, MTR and apparent diffusion coefficient (ADC) values. Multivariate analysis and the receiver operating characteristic curve (ROC) were used to evaluate the prediction performance of clinical characteristics, APTw-SI, MTR, ADC values, and combined models in predicting short-term treatment outcomes in NPC patients. RESULTS For the healthy volunteer group, all APTw-SI and MTR values exhibited good to excellent intra- and inter-observer agreements (0.736-0.910, 0.895-0.981, all P > 0.05). For NPC patients, MTR values showed a significant difference between the non-residual and residual groups (31.24 ± 5.21% vs. 34.74 ± 1.54%, P = 0.003) while no significant differences were observed for APTw-SI and ADC values (P > 0.05). Moreover, the diagnostic power of MTR value was superior to APTw-SI (AUC: 0.818 vs. 0.521, P = 0.017) and comparable to ADC values (AUC: 0.818 vs. 0.649, P > 0.05) in predicting short-term treatment outcomes for NPC patients. The prediction performance did not improve even when combining MTR values with APTw-SI and/or ADC values (P > 0.05). CONCLUSIONS The pre-treatment MTR value acquired through 3D CEST demonstrated superior predictive performance for short-term treatment outcomes compared to APTw-SI and ADC values in NPC patients after CRT.
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Affiliation(s)
- Wenguang Liu
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China
| | - Xiao Wang
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China
| | - Simin Xie
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China
| | | | - Ismail Bilal Masokano
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Yu Bai
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China
| | - Juan Chen
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China
| | - Linhui Zhong
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China
| | - Yijing Luo
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China
| | - Gaofeng Zhou
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China
| | - Wenzheng Li
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China.
| | - Yigang Pei
- Department of Radiology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, No.87 Xiangya Rd., Kai Fu District, Changsha, 410008, Hunan, China.
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Wang Y, Zhang R, Mao R, Li X. Inflammatory bowel disease cross-sectional imaging: What's new? United European Gastroenterol J 2022; 10:1179-1193. [PMID: 36461914 PMCID: PMC9752287 DOI: 10.1002/ueg2.12343] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 11/13/2022] [Indexed: 12/07/2022] Open
Abstract
Cross-sectional imaging-ultrasonography, computed tomography enterography, and magnetic resonance enterography-is a routine and indispensable tool for patients with Crohn's disease (CD) that helps to detect or monitor disease characteristics before, during, and after CD treatment. New emerging radiological technologies may have further clinical applications in the management of CD. In this review article, we focus on the latest developments in cross-sectional imaging in CD research, including its role in intra- and extra-luminal lesion detection, intestinal inflammation and fibrosis grading, therapeutic response assessment and outcome prediction, postoperative recurrence detection and prediction, and the gut-brain axis.
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Affiliation(s)
- Yang‐di Wang
- Department of RadiologyThe First Affiliated Hospital, Sun Yat‐Sen UniversityGuangzhouPeople's Republic of China
| | - Ruo‐nan Zhang
- Department of RadiologyThe First Affiliated Hospital, Sun Yat‐Sen UniversityGuangzhouPeople's Republic of China
| | - Ren Mao
- Department of GastroenterologyThe First Affiliated Hospital, Sun Yat‐Sen UniversityGuangzhouPeople's Republic of China
| | - Xue‐hua Li
- Department of RadiologyThe First Affiliated Hospital, Sun Yat‐Sen UniversityGuangzhouPeople's Republic of China
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Sleiman J, Chirra P, Gandhi NS, Baker ME, Lu C, Gordon IO, Viswanath SE, Rieder F. Crohn's disease related strictures in cross-sectional imaging: More than meets the eye? United European Gastroenterol J 2022; 10:1167-1178. [PMID: 36326993 PMCID: PMC9752301 DOI: 10.1002/ueg2.12326] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/17/2022] [Indexed: 11/06/2022] Open
Abstract
Strictures in Crohn's disease (CD) are a hallmark of long-standing intestinal damage, brought about by inflammatory and non-inflammatory pathways. Understanding the complex pathophysiology related to inflammatory infiltrates, extracellular matrix deposition, as well as muscular hyperplasia is crucial to produce high-quality scoring indices for assessing CD strictures. In addition, cross-sectional imaging modalities are the primary tool for diagnosis and follow-up of strictures, especially with the initiation of anti-fibrotic therapy clinical trials. This in turn requires such modalities to both diagnose strictures with high accuracy, as well as be able to delineate the impact of each histomorphologic component on the individual stricture. We discuss the current knowledge on cross-sectional imaging modalities used for stricturing CD, with an emphasis on histomorphologic correlates, novel imaging parameters which may improve segregation between inflammatory, muscular, and fibrotic stricture components, as well as a future outlook on the role of artificial intelligence in this field of gastroenterology.
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Affiliation(s)
- Joseph Sleiman
- Division of Gastroenterology, Hepatology and NutritionUniversity of Pittsburgh School of MedicinePittsburgh Medical CenterPittsburghPennsylvaniaUSA
| | - Prathyush Chirra
- Department of Biomedical EngineeringCase Western Reserve UniversityClevelandOhioUSA
| | | | - Mark E. Baker
- Imaging InstituteDigestive Diseases and Surgery Institute and Cancer InstituteCleveland Clinic FoundationClevelandOhioUSA
| | - Cathy Lu
- Division of Gastroenterology and HepatologyUniversity of CalgaryCalgaryAlbertaCanada
| | - Ilyssa O. Gordon
- Department of PathologyRobert J Tomsich Pathology and Laboratory Medicine InstituteCleveland Clinic FoundationClevelandOhioUSA
| | - Satish E. Viswanath
- Department of Biomedical EngineeringCase Western Reserve UniversityClevelandOhioUSA
| | - Florian Rieder
- Department of Gastroenterology, Hepatology & NutritionDigestive Diseases and Surgery InstituteCleveland Clinic FoundationClevelandOhioUSA,Department of Inflammation and ImmunityLerner Research InstituteCleveland Clinic FoundationClevelandOhioUSA
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Xu C, Jiang W, Wang L, Mao X, Ye Z, Zhang H. Intestinal Ultrasound for Differentiating Fibrotic or Inflammatory Stenosis in Crohn's Disease: A Systematic Review and Meta-analysis. J Crohns Colitis 2022; 16:1493-1504. [PMID: 35390137 DOI: 10.1093/ecco-jcc/jjac052] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND AIMS Intestinal ultrasound [IUS] has been increasingly reported to distinguish inflammatory or fibrotic intestinal stenosis in Crohn's disease [CD] patients. However, the diagnostic value is unclear. This systematic review and meta-analysis aimed to assess the diagnostic role of different modes of IUS parameters. METHODS We searched PubMed, Embase, Web of Science, and Cochrane Library from inception to August 2021. Regarding effect sizes, weighted mean differences [WMDs] or standardised mean differences [SMDs] were used. We pooled data using a random-effects or fixed-effects model according to heterogeneity. The diagnostic accuracy of IUS for distinguishing fibrosis was pooled. RESULTS A total of 19 studies were retained for qualitative analysis, and 14 were included in the meta-analysis [with 511 total subjects and 635 bowel segments]. In patients with fibrotic stenosis, the pooled WMDs for bowel wall thickness were 1.30 mm (95% confidence interval [CI]: 0.69-1.91) thicker than in patients with inflammatory stenosis, and the pooled SMDs for strain value and strain ratio were 0.80 [95% CI: 0.41-1.20] and 1.08 [95% CI: 0.55-1.60] harder than in patients with inflammatory stenosis, respectively. The percentage of maximal enhancement of fibrotic stenosis was lower than that of inflammatory stenosis [WMD -10.03; 95% CI: -17.91- -2.16]. The diagnostic accuracy of IUS was not performed because only a few studies provided relevant diagnostic indicators, and these studies used different modes and parameters. CONCLUSIONS IUS currently is inaccurate to differentiate fibrotic or inflammatory stenosis in CD patients, and more studies assessing the significance of each parameter and its cut-off value in different modes of IUS are needed to be conducted in the future.
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Affiliation(s)
- Chenjing Xu
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Wenyu Jiang
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Lu Wang
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xiaqiong Mao
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Ziping Ye
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Hongjie Zhang
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
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Bi Q, Li Q, Yang J, Yang J, Du J, Ding F, Wu Y, Wang S, Zhao Y. Preliminary Application of Magnetization Transfer Imaging in the Study of Normal Uterus and Uterine Lesions. Front Oncol 2022; 12:853815. [PMID: 35912262 PMCID: PMC9331739 DOI: 10.3389/fonc.2022.853815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 06/22/2022] [Indexed: 12/24/2022] Open
Abstract
Purpose The aim of this study is to evaluate the utility of magnetization transfer (MT) imaging in the study of normal uterus and common uterine lesions. Methods This prospective study enrolled 160 consecutive patients with suspected uterine lesions. MT ratio (MTR) map was obtained by pelvic MT imaging on a 3.0T MRI scanner. Patients confirmed by pathology were divided into microscopic lesion group and lesion group, according to whether the maximum diameter of the lesion was less than 5 mm. After evaluating and eliminating patients with poor image quality by a three-point Likert scale, MTR values of lesions and normal endometrium, myometrium, and cervix were independently measured on the MTR map by two radiologists. Inter-reader agreement was evaluated. MTR values were compared among different uterine lesions and normal uterine structures using the Mann–Whitney U test with Bonferroni correction. Receiver operating characteristic curve was performed. The correlations between age and MTR values were explored by Pearson correlation analyses. Results A total of 96 patients with 121 uterine lesions in the lesion group and 41 patients in the microscopic lesion group were measured. The MTR values among normal endometrium, myometrium, and cervix were statistical significant differences (P < 0.05). There were significant differences between endometrial cancer and normal endometrium and between cervical cancer and normal cervix (both P ≤ 0.001). Area under the curve (AUC) for diagnosing endometrial and cervical cancer were 0.73 and 0.86. Myometrial lesions had significantly higher MTR values than endometrial lesions and cervical cancer (both P < 0.001), and the AUC for differentiating myometrial lesions from them were 0.89 and 0.94. MTR values of endometrial cancer were significantly higher than those of cervical cancer (P = 0.02). There was a critical correlation between age and MTR values in endometrial cancer (r = 0.81, P = 0.04). Conclusions MTR values showed significant differences among normal uterine structures. It was valuable for diagnosing and differentiating uterine cancer. MTR values could differentiate myometrial lesions from endometrial or cervical lesions.
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Affiliation(s)
- Qiu Bi
- Department of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Qing Li
- Department of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Jing Yang
- Department of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Junyu Yang
- Department of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Ji Du
- Department of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Fan Ding
- Department of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Yunzhu Wu
- MR Scientific Marketing, Siemens Healthineers, Shanghai, China
| | - Shaoyu Wang
- MR Scientific Marketing, Siemens Healthineers, Shanghai, China
| | - Ying Zhao
- Department of MRI, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- *Correspondence: Ying Zhao,
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Li X, Liang D, Meng J, Zhou J, Chen Z, Huang S, Lu B, Qiu Y, Baker ME, Ye Z, Cao Q, Wang M, Yuan C, Chen Z, Feng S, Zhang Y, Iacucci M, Ghosh S, Rieder F, Sun C, Chen M, Li Z, Mao R, Huang B, Feng ST. Development and Validation of a Novel Computed-Tomography Enterography Radiomic Approach for Characterization of Intestinal Fibrosis in Crohn's Disease. Gastroenterology 2021; 160:2303-2316.e11. [PMID: 33609503 PMCID: PMC8903088 DOI: 10.1053/j.gastro.2021.02.027] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/07/2021] [Accepted: 02/09/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS No reliable method for evaluating intestinal fibrosis in Crohn's disease (CD) exists; therefore, we developed a computed-tomography enterography (CTE)-based radiomic model (RM) for characterizing intestinal fibrosis in CD. METHODS This retrospective multicenter study included 167 CD patients with 212 bowel lesions (training, 98 lesions; test, 114 lesions) who underwent preoperative CTE and bowel resection at 1 of the 3 tertiary referral centers from January 2014 through June 2020. Bowel fibrosis was histologically classified as none-mild or moderate-severe. In the training cohort, 1454 radiomic features were extracted from venous-phase CTE and a machine learning-based RM was developed based on the reproducible features using logistic regression. The RM was validated in an independent external test cohort recruited from 3 centers. The diagnostic performance of RM was compared with 2 radiologists' visual interpretation of CTE using receiver operating characteristic (ROC) curve analysis. RESULTS In the training cohort, the area under the ROC curve (AUC) of RM for distinguishing moderate-severe from none-mild intestinal fibrosis was 0.888 (95% confidence interval [CI], 0.818-0.957). In the test cohort, the RM showed robust performance across 3 centers with an AUC of 0.816 (95% CI, 0.706-0.926), 0.724 (95% CI, 0.526-0.923), and 0.750 (95% CI, 0.560-0.940), respectively. Moreover, the RM was more accurate than visual interpretations by either radiologist (radiologist 1, AUC = 0.554; radiologist 2, AUC = 0.598; both, P < .001) in the test cohort. Decision curve analysis showed that the RM provided a better net benefit to predicting intestinal fibrosis than the radiologists. CONCLUSIONS A CTE-based RM allows for accurate characterization of intestinal fibrosis in CD.
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Affiliation(s)
- Xuehua Li
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Dong Liang
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, People’s Republic of China
| | - Jixin Meng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Jie Zhou
- Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Zhao Chen
- Department of Medical Imaging Center, Nan Fang Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Siyun Huang
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Baolan Lu
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Yun Qiu
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Mark E. Baker
- Section of Abdominal Imaging, Imaging Institute, Digestive Disease Institute and Cancer Institute, Cleveland Clinic, Cleveland, Ohio
| | - Ziyin Ye
- Department of Pathology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Qinghua Cao
- Department of Pathology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Mingyu Wang
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, People’s Republic of China
| | - Chenglang Yuan
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, People’s Republic of China
| | - Zhihui Chen
- Department of Gastrointestinal and Pancreatic Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Shengyu Feng
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, People’s Republic of China
| | - Yuxuan Zhang
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, People’s Republic of China
| | - Marietta Iacucci
- National Institute for Health Research Biomedical Research Institute, Institute of Translational Medicine, University of Birmingham, University Hospitals Birmingham National Health Service Foundation Trust, United Kingdom
| | - Subrata Ghosh
- National Institute for Health Research Biomedical Research Institute, Institute of Translational Medicine, University of Birmingham, University Hospitals Birmingham National Health Service Foundation Trust, United Kingdom
| | - Florian Rieder
- Department of Gastroenterology, Hepatology and Nutrition, Digestive Diseases and Surgery Institute, Cleveland Clinic, Cleveland, Ohio
| | - Canhui Sun
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Minhu Chen
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Ziping Li
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China
| | - Ren Mao
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China; Department of Gastroenterology, Hepatology and Nutrition, Digestive Diseases and Surgery Institute, Cleveland Clinic, Cleveland, Ohio.
| | - Bingsheng Huang
- Medical AI Lab, School of Biomedical Engineering, Health Science Center, Shenzhen University, People's Republic of China.
| | - Shi-Ting Feng
- Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
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Greer MLC, Cytter-Kuint R, Pratt LT, Soboleski D, Focht G, Castro DA. Clinical-stage Approaches for Imaging Chronic Inflammation and Fibrosis in Crohn's Disease. Inflamm Bowel Dis 2020; 26:1509-1523. [PMID: 32946578 DOI: 10.1093/ibd/izaa218] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Indexed: 02/06/2023]
Abstract
The number of imaging-based indices developed for inflammatory bowel disease as research tools, objectively measuring ileocolonic and perianal activity and treatment response, has expanded in the past 2 decades. Created primarily to assess Crohn's disease (CD), there is increasing adoption of these indices into the clinical realm to guide patient care. This translation has been facilitated by validation in adult and pediatric populations, prompted by simplification of score calculations needed for practical application outside the research environment. The majority of these indices utilize magnetic resonance imaging (MRI), specifically MR enterography (MRE) and pelvic MRI, and more recently ultrasound. This review explores validated indices by modality, anatomic site and indication, including for documentation of the presence and extent of CD, disease progression, complications, and treatment response, highlighting those in clinical use or with the potential to be. As well, it details index imaging features used to quantify chronic inflammatory activity, severity, and to lesser extent fibrosis, in addition to their reference standards and any modifications. Validation in the pediatric population of indices primarily developed in adult cohorts such as the Magnetic Resonance Index of Activity (MaRIA), the Simplified Magnetic Resonance Index of Activity (MARIAs), and the MRE global score (MEGS), together with newly developed pediatric-specific indices, are discussed. Indices that may be predictive of disease course and investigational techniques with the potential to provide future imaging biomarkers, such as multiparametric MRI, are also briefly considered.
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Affiliation(s)
- Mary-Louise C Greer
- Department of Diagnostic Imaging, The Hospital for Sick Children; Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | | | - Li-Tal Pratt
- Pediatric Imaging Unit, Imaging Division, Sourasky Medical Center, Tel Aviv, Israel
| | - Don Soboleski
- Department of Diagnostic Imaging, Kingston Health Sciences Centre, Queen's University, Kingston, Ontario, Canada
| | - Gili Focht
- The Juliet Keidan Institute of Pediatric Gastroenterology, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Denise A Castro
- Department of Diagnostic Imaging, Kingston Health Sciences Centre, Queen's University, Kingston, Ontario, Canada
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