Response to Biologics in Ibd Patients Assessed by Computerized Image Analysis of Probe Based Confocal Laser Endomicroscopy With Molecular Labeling

Conference poster


Iacucci, M, Grisan, E, Labarile, N, Nardone, OM, Smith, SCL, Jeffery, L, Cannatelli, R, Ghosh, S and Buda, A (2021). Response to Biologics in Ibd Patients Assessed by Computerized Image Analysis of Probe Based Confocal Laser Endomicroscopy With Molecular Labeling. ESGE Days 2021. Virtual 25 - 27 Mar 2021 Georg Thieme Verlag KG. https://doi.org/10.1055/s-0041-1724759
AuthorsIacucci, M, Grisan, E, Labarile, N, Nardone, OM, Smith, SCL, Jeffery, L, Cannatelli, R, Ghosh, S and Buda, A
TypeConference poster
Abstract

Background

The increase in therapeutic choices in inflammatory bowel diseases (IBD) imposed the identification of personalized therapeutic strategy. Confocal laser endomicroscopy (CLE) is a new endoscopic tool developed to obtain virtual in vivo histology. This study aimed to identify CLE in vivo and ex vivo features predictive of response for patients starting biologics.

Methods

We performed a prospective observational study: 29 patients (14 ulcerative colitis-UC and 15 Crohn’s Disease-CD) underwent CLE before and after biological treatment. CLE parameters analyzed were: crypt distribution, crypt area (CA), eccentricity, diameter, inter-cryptic distance (ICD), vessel tortuosity (VT), wall thickness (WT), fluorescein leakage (FLCM) and ex-vivo binding activity of fluorescein-labelled biologics on biopsies. Mosaicism of CLE images were analyzed using a dedicated software algorithm (CellvizioViewer, Mauna-Kea-Technologies, Paris-France). A Graphical User Interface was designed for a semiautomated analysis.

Results

After treatment, VT changed in overall population; FLCM decreased in UC patients, whilst CA, eccentricity and ICD in CD patients (p< 0.05). FLCM was the best parameter for predicting responsiveness (AUROC 83%, accuracy 83%, PPV 94% and NPV 57%). FLCM and ICD were the best discriminants in responders Vs non-responders in UC (AUROC85%, accuracy 85%, PPV 100% and NPV 71%); whilst VT, CA and ICD in CD (AUROC 95%-86%-83%; accuracy 90%-90%-88%; PPV 100%-100%-86%; and NPV 75%-75%-100%, respectively). UC patients, but not CD patients,

had higher basal fluorescent intensity signals with a significant reduction after treatment (p< 0.05). An increased mucosal binding to the fluorescent labelled biological agent was associated to a higher likelihood of therapy response (AUROC 81%-64%, accuracy 77%-79%, PPV 100%-80%, NPV 63%-50% in UC and CD patients respectively).

Conclusion

FLCM and ICD were the best discriminants of response in UC, while VT, CA and ICD in CD. A higher mucosal binding to a biological agent before treatment was observed in responders UC patients but not in CD patients.

Year2021
JournalESGE Days 2021
PublisherGeorg Thieme Verlag KG
Digital Object Identifier (DOI)https://doi.org/10.1055/s-0041-1724759
Web address (URL)https://www.esge.com/event-calendar/esge-days-2021/
Accepted author manuscript
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accepted extended abstract
Publication dates
Online19 Mar 2021
Publication process dates
Accepted22 Jan 2021
Deposited21 Sep 2021
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Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal
Gadaleta, M., Facchinetti, A., Grisan, E. and Rossi, M. (2019). Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal. IEEE Journal of Biomedical and Health Informatics. 23 (2). https://doi.org/10.1109/JBHI.2018.2823763
Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves
Stanziola, A., Toulemonde, M., Papadopoulou, V., Corbett, R., Duncan, N., Grisan, E. and Tang, M-X. (2019). Sparse Image Reconstruction for Contrast Enhanced Cardiac Ultrasound using Diverging Waves. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).
Super resolution ultrasound image filtering with machine learning to reduce the localization error
Harput, S., Fong, L.H., Stanziola, A., Zhang, G., Toulemonde, M., Zhou, J., Christensen-Jeffries, K., Brown, J., Eckersley, R., Grisan, E., Dunsby, C. and Tang, M. (2019). Super resolution ultrasound image filtering with machine learning to reduce the localization error. IEEE International Ultrasonics Symposium 2019. Glasgow 09 2009 - 06 Oct 2019 Institute of Electrical and Electronics Engineers (IEEE).
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
Savioli, N., Visentin, S., Cosmi, E., Grisan, E., Lamata, P. and Montana, G. (2018). Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece 04 - 07 Oct 2018 Springer. https://doi.org/10.1007/978-3-030-01421-6_15
Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints
Fiocco, U, Stramare, R, Martini, V, Coran, A, Caso, F, Costa, L, Felicetti, M, Rizzo, G, Tonietto, M, Scanu, A, Oliviero, F, Raffeiner, B, Vezzù, M, Lunardi, F, Scarpa, R, Sacerdoti, D, Rubaltelli, L, Punzi, L, Doria, A and Grisan, E (2017). Quantitative imaging by pixel-based contrast-enhanced ultrasound reveals a linear relationship between synovial vascular perfusion and the recruitment of pathogenic IL-17A-F+IL-23+ CD161+ CD4+ T helper cells in psoriatic arthritis joints. Clinical Rheumatology. 36 (2), pp. 391-399. https://doi.org/10.1007/s10067-016-3500-x
Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
Hooshmand, M, Zordan, D, Del Testa, D, Grisan, E and Rossi, M (2017). Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals. IEEE Internet of Things Journal. 4, pp. 1647-1662. https://doi.org/10.1109/JIOT.2017.2689164
Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250818
Improving the quantification of contrast enhanced ultrasound using a Bayesian approach
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Improving the quantification of contrast enhanced ultrasound using a Bayesian approach. SPIE Medical Imaging. Orlando, FL , USA 16 2016 - 11 Feb 2017 SPIE. https://doi.org/10.1117/12.2250195
Superpixel-based classification of gastric chromoendoscopy images
Boschetto, D and Grisan, E (2017). Superpixel-based classification of gastric chromoendoscopy images. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2254187
Boosted learned kernels for data-driven vesselness measure
Grisan, E (2017). Boosted learned kernels for data-driven vesselness measure. Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101370Z (2017). Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250370
Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling
Palombit, A, Castellaro, M, Calabrese, M, Romualdi, C, Pizzini, FB, Montemezzi, S, Grisan, E and Bertoldo, A (2017). Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 18 - 21 Apr 2017 pp. 792-795 https://doi.org/10.1109/ISBI.2017.7950637
From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis
Grisan, E, Rizzo, G, Tonietto, M, Coran, A, Raffeiner, B, Scanu, A, Martini, V, Stramare, R and Fiocco, U (2017). From macro to nano: Linking quantitative CEUS perfusion parameters to CD4+ T cells subtypes in spondyloarthtitis. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 17 - 21 Apr 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 899-902 https://doi.org/10.1109/ISBI.2017.7950661
Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α
Raffeiner, B, Grisan, E, Botsios, C, Stramare, R, Rizzo, G, Bernardi, L, Punzi, L, Ometto, F and Doria, A (2017). Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α. Rheumatology (United Kingdom). 56, pp. 1320-1325. https://doi.org/10.1093/rheumatology/kex084
Bayesian Quantification of Contrast-Enhanced Ultrasound Images with Adaptive Inclusion of an Irreversible Component
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Bayesian Quantification of Contrast-Enhanced Ultrasound Images with Adaptive Inclusion of an Irreversible Component. IEEE Transactions on Medical Imaging. 36, pp. 1027-1036. https://doi.org/10.1109/TMI.2016.2637698
Tcf7l2 plays pleiotropic roles in the control of glucose homeostasis, pancreas morphology, vascularization and regeneration
Facchinello, N, Tarifeño-Saldivia, E, Grisan, E, Schiavone, M, Peron, M, Mongera, A, Ek, O, Schmitner, N, Meyer, D, Peers, B, Tiso, N and Argenton, F (2017). Tcf7l2 plays pleiotropic roles in the control of glucose homeostasis, pancreas morphology, vascularization and regeneration. Scientific Reports. 7. https://doi.org/10.1038/s41598-017-09867-x
Growth abnormalities of fetuses and infants
Cosmi, E, Grisan, E, Fanos, V, Rizzo, G, Sivanandam, S and Visentin, S (2017). Growth abnormalities of fetuses and infants. BioMed Research International. 2017. https://doi.org/https://www.doi.org/10.1155/2017/3191308
A possible new approach in the prediction of late gestational hypertension: The role of the fetal aortic intima-media thickness
Visentin, S, Londero, AP, Camerin, M, Grisan, E and Cosmi, E (2017). A possible new approach in the prediction of late gestational hypertension: The role of the fetal aortic intima-media thickness. Medicine (United States). 96. https://doi.org/https://www.doi.org/10.1097/MD.0000000000005515
Automatic classification of small bowel mucosa alterations in celiac disease for confocal laser endomicroscopy
Boschetto, D, Di Claudio, G, Mirzaei, H, Leong, R and Grisan, E (2016). Automatic classification of small bowel mucosa alterations in celiac disease for confocal laser endomicroscopy. Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego, United States 27 Feb - 03 Mar 2016 SPIE. https://doi.org/10.1117/12.2217183
Automatic classification of endoscopic images for premalignant conditions of the esophagus
Boschetto, D, Gambaretto, G and Grisan, E (2016). Automatic classification of endoscopic images for premalignant conditions of the esophagus. Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego, United States 27 Feb - 03 Mar 2016 https://doi.org/10.1117/12.2216826
Superpixel-based automatic segmentation of villi in confocal endomicroscopy
Boschetto, D, Mirzaei, H, Leong, RWL and Grisan, E (2016). Superpixel-based automatic segmentation of villi in confocal endomicroscopy. 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). Las Vegas, NV, USA 24 - 27 Feb 2016 pp. 168-171 https://doi.org/10.1109/BHI.2016.7455861
Quantification of kidneys from 3D ultrasound in pediatric hydronephrosis
Cerrolaza, J.J., Grisan, E., Safdar, N., Myers, E., Jago, J., Peters, C.A. and Linguraru, M.G. (2015). Quantification of kidneys from 3D ultrasound in pediatric hydronephrosis. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/embc.2015.7318324