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Original Article
Histologic healing and clinical outcomes in ulcerative colitis
Raymond Fueng-Hin Liang, Huiyu Lin, Cora Yuk-Ping Chau, Wee Chian Lim
Received April 21, 2024  Accepted July 22, 2024  Published online September 19, 2024  
DOI: https://doi.org/10.5217/ir.2024.00058    [Epub ahead of print]
AbstractAbstract PDFPubReaderePub
Background/Aims
Growing evidence suggests histologic healing (HH) improves clinical outcomes in ulcerative colitis (UC) patients beyond endoscopic healing (EH). We hypothesize that HH is associated with better clinical outcomes in Asian UC patients, for whom data is lacking.
Methods
We performed a retrospective study of UC patients in clinical remission (CR) with a follow-up colonoscopy and minimum 1-year follow-up post-colonoscopy. Primary outcome was clinical relapse (CRL), defined as either a Simple Clinical Colitis Activity Index score of > 2, medication escalation, hospitalization or colectomy. Predictors of CRL and HH were assessed.
Results
One hundred patients were included with a median follow-up of 22 months. At index colonoscopy, 80 patients were in EH. On follow-up, 41 patients experienced CRL. Of 80 patients in EH, 34 (42.5%) had persistent histologic activity (Nancy Index ≥ 2) and 29 (36.3%) relapsed during the follow-up period. Amongst patients in CR and EH, those with HH had lower CRL rate (26.1% vs. 50.0%, P= 0.028) and longer CRL-free survival (mean 46.1 months vs. 31.5 months, P= 0.015) than those with persistent histologic activity. On bivariable analysis of 100 patients in CR, HH, and Mayo endoscopic score (MES) of 0 were significantly associated with lower risk of CRL. On multivariable analysis, only MES 0 remained predictive of lower CRL risk.
Conclusions
Above and beyond CR and EH, achieving HH improves clinical outcomes in Asian UC patients. However, HH may not confer incremental benefit if MES 0 has been achieved. Further prospective studies evaluating the benefit of histologically guided therapeutic decisions are needed.
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Review
The evolving understanding of histology as an endpoint in ulcerative colitis
Shintaro Akiyama, Yusuke Miyatani, David T. Rubin
Received September 13, 2023  Accepted January 24, 2023  Published online March 13, 2024  
DOI: https://doi.org/10.5217/ir.2023.00120    [Epub ahead of print]
AbstractAbstract PDFPubReaderePub
A therapeutic goal for patients with ulcerative colitis (UC) is deep remission including clinical remission and mucosal healing. Mucosal healing was previously defined by endoscopic appearance, but recent studies demonstrate that histological improvements can minimize the risks of experiencing clinical relapse after achieving endoscopic remission, and there is growing interest in the value and feasibility of histological targets of treatment in inflammatory bowel disease, and specifically UC. In this review article, we identify remaining challenges and discuss an evolving role of histology in the management of UC.

Citations

Citations to this article as recorded by  
  • Patients with ulcerative colitis who have normalized histology are clinically stable after de-escalation of therapy
    Shintaro Akiyama, Joëlle St-Pierre, Cindy Traboulsi, Alexa Silfen, Victoria Rai, Tina G. Rodriguez, Amarachi I. Erondu, Joshua M. Steinberg, Seth R. Shaffer, Britt Christensen, David T. Rubin
    npj Gut and Liver.2024;[Epub]     CrossRef
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  • 259 Download
  • 1 Crossref
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Statement
IBD
Proposal of novel staging system CNM (Crohn’s primary site, nodes, mesentery) to predict postoperative recurrence of Crohn’s disease
Guduru Venkat Rao, Partha Pal, Anuradha Sekaran, Pradeep Rebala, Manu Tandan, D. Nageshwar Reddy
Intest Res 2023;21(2):196-204.   Published online August 8, 2022
DOI: https://doi.org/10.5217/ir.2022.00045
AbstractAbstract PDFPubReaderePub
After oncologic resection, histological grading and staging of the tumor give important prognostic information about the future risk of recurrence and hence influence the subsequent management plan. Several studies and their meta-analysis have shown that various histological features (e.g., microscopic positive resection margins, plexitis, granuloma, mesenteric inflammatory activity) can predict postoperative clinical/endoscopic/surgical recurrence after resection in Crohn’s disease (CD). Inclusion of mesentery in surgical resection specimens has been shown to reduce surgical recurrence after ileocolonic resection in CD. However, there is no uniform histopathological staging system for risk stratification in postoperative CD to systematically predict postoperative recurrence. This is because the prediction to date is based on clinical characteristics (smoking status, disease phenotype, surgical history). Histopathological predictors are still not adopted in routine clinical practice due to the lack of a uniform staging system, heterogeneity of published studies and lack of standardized definition of histological features. In this article, we attempted to incorporate all such histological features in a single histological staging system CNM (Crohn’s primary site [resection margin positivity, plexitis, granuloma, depth of infiltration], nodes [presence of granuloma], mesentery [involved or not]) in surgical resection specimen in CD. The proposed CNM classification would help to enable systematic reporting, design future clinical trials, stratify postoperative recurrence risk and choose appropriate postoperative prophylaxis.

Citations

Citations to this article as recorded by  
  • Endoscopic Assessment of Postoperative Recurrence in Crohn's Disease
    Partha Pal, Duvvuru Nageshwar Reddy, Guduru Venkat Rao
    Gastrointestinal Endoscopy Clinics of North America.2024;[Epub]     CrossRef
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  • 482 Download
  • 1 Crossref
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Original Articles
Inflammatory bowel diseases
Quantitative histology-based classification system for assessment of the intestinal mucosal histological changes in patients with celiac disease
Prasenjit Das, Gaurav PS Gahlot, Alka Singh, Vandana Baloda, Ramakant Rawat, Anil K Verma, Gaurav Khanna, Maitrayee Roy, Archana George, Ashok Singh, Aasma Nalwa, Prashant Ramteke, Rajni Yadav, Vineet Ahuja, Vishnubhatla Sreenivas, Siddhartha Datta Gupta, Govind K Makharia
Intest Res 2019;17(3):387-397.   Published online April 22, 2019
DOI: https://doi.org/10.5217/ir.2018.00167
AbstractAbstract PDFPubReaderePub
Background/Aims
The existing histological classifications for the interpretation of small intestinal biopsies are based on qualitative parameters with high intraobserver and interobserver variations. We have developed and propose a quantitative histological classification system for the assessment of intestinal mucosal biopsies.
Methods
We performed a computer-assisted quantitative histological assessment of digital images of duodenal biopsies from 137 controls and 124 patients with celiac disease (CeD) (derivation cohort). From the receiver-operating curve analysis, followed by multivariate and logistic regression analyses, we identified parameters for differentiating control biopsies from those of the patients with CeD. We repeated the quantitative histological analysis in a validation cohort (105 controls and 120 patients with CeD). On the basis of the results, we propose a quantitative histological classification system. The new classification was compared with the existing histological classifications for interobserver and intraobserver agreements by a group of qualified pathologists.
Results
Among the histological parameters, intraepithelial lymphocyte count of ≥25/100 epithelial cells, adjusted villous height fold change of ≤0.7, and crypt depth-to-villous height ratio of ≥0.5 showed good discriminative power between the mucosal biopsies from the patients with CeD and those from the controls, with 90.3% sensitivity, 93.5% specificity, and 96.2% area under the curve. Among the existing histological classifications, our quantitative histological classification showed the highest intraobserver (69.7%–85.03%) and interobserver (24.6%–71.5%) agreements.
Conclusions
Quantitative assessment increases the reliability of the histological assessment of mucosal biopsies in patients with CeD. Such a classification system may be used for clinical trials in patients with CeD. (Intest Res, Published online)

Citations

Citations to this article as recorded by  
  • Celiac Disease Deep Learning Image Classification Using Convolutional Neural Networks
    Joaquim Carreras
    Journal of Imaging.2024; 10(8): 200.     CrossRef
  • CD, or not CD, that is the question: a digital interobserver agreement study in coeliac disease
    James Denholm, Benjamin A Schreiber, Florian Jaeckle, Mike N Wicks, Emyr W Benbow, Tim S Bracey, James Y H Chan, Lorant Farkas, Eve Fryer, Kishore Gopalakrishnan, Caroline A Hughes, Kathryn J Kirkwood, Gerald Langman, Betania Mahler-Araujo, Raymond F T Mc
    BMJ Open Gastroenterology.2024; 11(1): e001252.     CrossRef
  • Role of Serology, Dietary Assessment, and Fecal Gluten Immunogenic Peptides for Predicting Histologic Recovery in Children with Celiac Disease
    Keerthivasan Seetharaman, Sadhna Bhasin Lal, Kaushal Kishor Prasad, Yashwant Kumar, Alka Bhatia, Sunita Malhotra
    Digestive Diseases and Sciences.2023; 68(2): 529.     CrossRef
  • Usefulness of a double immunofluorescence technique for detection of intestinal tTG-IgA deposits in diabetic and non-diabetic children with celiac disease
    Raghav Lal, Ranjeet Bhardwaj, Ranjana Walker Minz, Kaushal Kishore Prasad, Sadhna Lal, Devi Dayal, Yashwant Kumar
    Pediatrics & Neonatology.2023; 64(4): 388.     CrossRef
  • The global burden of coeliac disease: opportunities and challenges
    Govind K. Makharia, Prashant Singh, Carlo Catassi, David S. Sanders, Daniel Leffler, Raja Affendi Raja Ali, Julio C. Bai
    Nature Reviews Gastroenterology & Hepatology.2022; 19(5): 313.     CrossRef
  • Gluten Induces Subtle Histological Changes in Duodenal Mucosa of Patients with Non-Coeliac Gluten Sensitivity: A Multicentre Study
    Kamran Rostami, Arzu Ensari, Michael N. Marsh, Amitabh Srivastava, Vincenzo Villanacci, Antonio Carroccio, Hamid Asadzadeh Aghdaei, Julio C. Bai, Gabrio Bassotti, Gabriel Becheanu, Phoenix Bell, Camillo Di Bella, Anna Maria Bozzola, Moris Cadei, Giovanni
    Nutrients.2022; 14(12): 2487.     CrossRef
  • The Role of Nerve Fibers in the Tumor Immune Microenvironment of Solid Tumors
    Sharia Hernandez, Alejandra G. Serrano, Luisa M. Solis Soto
    Advanced Biology.2022;[Epub]     CrossRef
  • Case Report: Morphologic and Functional Characteristics of Intestinal Mucosa in a Child With Short Bowel Syndrome After Treatment With Teduglutide: Evidence in Favor of GLP-2 Analog Safety
    Enrico Costantino Falco, Antonella Lezo, Pierluigi Calvo, Caterina Rigazio, Anna Opramolla, Ludovica Verdun, Giovanna Cenacchi, Marianna Pellegrini, Marco Spada, Gabriella Canavese
    Frontiers in Nutrition.2022;[Epub]     CrossRef
  • Quantitative histology as a diagnostic tool for celiac disease in children and adolescents
    Mateus M. Vargas, Ricardo Artigiani Neto, Vera L. Sdepanian
    Annals of Diagnostic Pathology.2022; 61: 152031.     CrossRef
  • Best practices of handling, processing, and interpretation of small intestinal biopsies for the diagnosis and management of celiac disease: A joint consensus of Indian association of pathologists and microbiologists and Indian society of gastroenterology
    Prasenjit Das, Kim Vaiphei, AnjaliD Amarapurkar, Puja Sakhuja, Ritambhra Nada, RoopaRachel Paulose, Rachana Chaturvedi, Anuradha Sekaran, Usha Kini, Archana Rastogi, Niraj Kumari, Anna Pulimood, Mala Banerjee, Prateek Kinra, Lavleen Singh, AmarenderSingh
    Indian Journal of Pathology and Microbiology.2021; 64(5): 8.     CrossRef
  • Artificial intelligence in small intestinal diseases: Application and prospects
    Yu Yang, Yu-Xuan Li, Ren-Qi Yao, Xiao-Hui Du, Chao Ren
    World Journal of Gastroenterology.2021; 27(25): 3734.     CrossRef
  • Opportunities and challenges in the management of celiac disease in Asia
    Ashish Agarwal, Ashish Chauhan, Vineet Ahuja, Govind K Makharia
    JGH Open.2020; 4(5): 795.     CrossRef
  • Digital histology in celiac disease: A practice changer
    Daniel Vasile Balaban, Mariana Jinga
    Artificial Intelligence in Gastroenterology.2020; 1(1): 1.     CrossRef
  • Digital histology in celiac disease: A practice changer
    Daniel Vasile Balaban, Mariana Jinga
    Artificial Intelligence in Gastroenterology.2020; 1(1): 1.     CrossRef
  • 7,532 View
  • 177 Download
  • 13 Web of Science
  • 14 Crossref
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Endoscopy
Histologic discrepancy between endoscopic forceps biopsy and endoscopic mucosal resection specimens of colorectal polyp in actual clinical practice
Moon Joo Hwang, Kyeong Ok Kim, A Lim Kim, Si Hyung Lee, Byung Ik Jang, Tae Nyeun Kim
Intest Res 2018;16(3):475-483.   Published online July 27, 2018
DOI: https://doi.org/10.5217/ir.2018.16.3.475
AbstractAbstract PDFPubReaderePub
<b>Background/Aims</b><br/>

We aimed to assess the rate of histologic discrepancy (HD) between endoscopic forceps biopsy (EFB) and totally resected specimens in colorectal polyp and analyze the risk factors of discordant group, especially under-diagnosis (UD) cases before complete removal of colorectal polyp.

Methods

From 2010 to 2015, a total of 290 polyps in 210 patients which had baseline pathology report before endoscopic resection (ER) were analyzed. UD cases were defined as those in which the diagnosis changed to a more advanced histologic feature after ER.

Results

A change in the final histology after ER was noted in 137 cases (47.2%), and after excluding 9 insignificant cases, 128 cases were further categorized into over-diagnosed and under-diagnosed group. UD occurred in 86 cases (29.7%) and change from benign to malignancy was noted in 26 cases (8.9%). On univariate analysis, a larger polyp size (>10 mm) was significantly associated with both HD (P<0.001) and UD (P<0.001). Regarding polyp morphology, protruding or flat was not significantly important. On multivariate analysis, polyp size >10 mm was the single most significant predictor of both HD (P<0.001) and UD (P<0.001).

Conclusions

The HD and UD rates were 47.2% and 29.7%, respectively. Polyp size >10 mm was the most important predictor of both HD and UD. We should be careful in making treatment strategy of colorectal polyp based on histologic report of EFB especially when the size of polyp is >10 mm.

Citations

Citations to this article as recorded by  
  • Genetic Analysis of Biopsy Tissues from Colorectal Tumors in Patients with Ulcerative Colitis
    Noriko Yamamoto, Yuji Urabe, Hikaru Nakahara, Takeo Nakamura, Daisuke Shimizu, Hirona Konishi, Kazuki Ishibashi, Misa Ariyoshi, Ryo Miyamoto, Junichi Mizuno, Takeshi Takasago, Akira Ishikawa, Akiyoshi Tsuboi, Hidenori Tanaka, Ken Yamashita, Yuichi Hiyama,
    Cancers.2024; 16(19): 3271.     CrossRef
  • Comparing efficacy and factors of postoperative bleeding in endoscopic mucosal resection vs coagulation for intestinal polyps
    Zhiang Li, Fei Yu, Chaoqian Wang, Zhang Du
    Medicine.2023; 102(37): e34941.     CrossRef
  • “Unresectable” polyp management utilizing advanced endoscopic techniques results in high rate of colon preservation
    Carey J. Wickham, Jennifer Wang, Kasim L. Mirza, Erik R. Noren, Joongho Shin, Sang W. Lee, Kyle G. Cologne
    Surgical Endoscopy.2022; 36(3): 2121.     CrossRef
  • Potential Factors Predicting Histopathologically Upgrade Discrepancies between Endoscopic Forceps Biopsy of the Colorectal Low-Grade Intraepithelial Neoplasia and Endoscopic Resection Specimens
    Junbo Hong, Yining Wang, Jiangshan Deng, Miao Qi, Wei Zuo, Yuanzheng Hao, Anjiang Wang, Yi Tu, Shan Xu, Xiaodong Zhou, Xiaojiang Zhou, Guohua Li, Liang Zhu, Xu Shu, Yin Zhu, Nonghua Lv, Youxiang Chen, Li-kang Sun
    BioMed Research International.2022; 2022: 1.     CrossRef
  • Endoscopic vs optical biopsy for patients with colorectal lesions: prospective multicentral trial
    K.D. Khalin, M.Yu. Agapov, E.D. Fedorov, L.V. Zvereva, N.E. Ogurchyonok, K.V. Stegnii, E.V. Ivanova, E.R. Dvoinikova, E.V. Gorbachev
    Dokazatel'naya gastroenterologiya.2022; 11(3): 11.     CrossRef
  • Long-term Outcomes of Primary Endoscopic Resection vs Surgery for T1 Colorectal Cancer: A Systematic Review and Meta-analysis
    Jen-Hao Yeh, Cheng-Hao Tseng, Ru-Yi Huang, Chih-Wen Lin, Ching-Tai Lee, Po-Jen Hsiao, Tsung-Chin Wu, Liang-Tseng Kuo, Wen-Lun Wang
    Clinical Gastroenterology and Hepatology.2020; 18(12): 2813.     CrossRef
  • Prophylactic endoscopic coagulation to prevent delayed post-EMR bleeding in the colorectum: a prospective randomized controlled trial (with videos)
    Hyun Seok Lee, Seong Woo Jeon, Yong Hwan Kwon, Su Youn Nam, Seonghwan Shin, Ryanghi Kim, Sohyun Ahn
    Gastrointestinal Endoscopy.2019; 90(5): 813.     CrossRef
  • 7,914 View
  • 94 Download
  • 4 Web of Science
  • 7 Crossref
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