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Article ; Online: Re: Collard MK et al. Adult appendicitis: Clinical practice guidelines from the French Society of Digestive Surgery (SFCD) and the Society of Abdominal and Digestive Imaging (SIAD).

Mutter, D

Journal of visceral surgery

2021 Volume 158, Issue 6, Page(s) 538–539

MeSH term(s)	Abdomen ; Adult ; Appendicitis/diagnostic imaging ; Appendicitis/surgery ; Diagnostic Imaging ; Digestive System Surgical Procedures ; Humans
Language	English
Publishing date	2021-08-24
Publishing country	France
Document type	Letter ; Comment
ISSN	1878-7886
ISSN (online)	1878-7886
DOI	10.1016/j.jviscsurg.2021.08.001
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Article ; Online: Retained gallstone mimicking an abdominal wall metastasis in a patient with lung cancer 7 years after laparoscopic cholecystectomy.

D'Urso, A / Mutter, D

Journal of visceral surgery

2021 Volume 159, Issue 3, Page(s) 257–259

MeSH term(s)	Abdominal Abscess/surgery ; Abdominal Wall/pathology ; Abscess ; Cholecystectomy, Laparoscopic/adverse effects ; Gallstones/diagnostic imaging ; Gallstones/surgery ; Humans ; Lung Neoplasms/surgery
Language	English
Publishing date	2021-11-27
Publishing country	France
Document type	Journal Article
ISSN	1878-7886
ISSN (online)	1878-7886
DOI	10.1016/j.jviscsurg.2021.11.009
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Book ; Online: First-principles analysis of the interplay between electronic structure and volume change in colquiriite compounds during Li intercalation

Baumann, A. F. / Mutter, D. / Urban, D. F. / Elsässer, C.

2023

Abstract: A main source of capacity fading in lithium-ion batteries is the degradation of the active cathode materials caused by the series of volume changes during charge and discharge cycles. The quaternary colquiriite-type fluorides Li$_x$CaFeF$\mathrm{_6}$ and ...

Abstract	A main source of capacity fading in lithium-ion batteries is the degradation of the active cathode materials caused by the series of volume changes during charge and discharge cycles. The quaternary colquiriite-type fluorides Li$_x$CaFeF$\mathrm{_6}$ and Li$_x$CaCoF$\mathrm{_6}$ were reported to have negligible volume changes in specific Li concentration ranges, making the underlying colquiriite structure a promising candidate for so-called zero-strain behavior. Using first-principles electronic structure calculations based on density functional theory with a Hubbard-$U$ correlation correction on the transition-metal ions, we systematically investigate the equilibrium volumes of the colquiriite-type fluorides Li$_x$CaMF$\mathrm{_6}$ with M =Ti, V, Cr, Mn, Fe, Co, and Ni at the Li concentrations $x$=0, 1, and 2. We elucidate the connection between the total volume of the structures and the local volumes of fluorine coordinated octahedra around the cations, and we find trends along the series of the 3d transition-metal elements. In the lithiation step from $x$=1 to $x$=2 we find volume changes of about 10 %, and we discuss the discrepancy to the experimentally reported smaller value for Li$_x$CaFeF$\mathrm{_6}$. From $x$=0 to $x$=1 we describe the compensating structural mechanisms that lead to an exceptionally small volume change of Li$_x$CaMnF$\mathrm{_6}$. This compound is therefore a particularly promising zero-strain cathode material. Comment: 13 pages, 9 Figures
Keywords	Condensed Matter - Materials Science
Subject code	540
Publishing date	2023-06-29
Publishing country	us
Document type	Book ; Online
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Article ; Online: Treatment of complete rectal prolapse using the TEO® platform (transanal endoscopic operation) - a video vignette.

D'Urso, Antonio / Lapergola, Alfonso / Marescaux, Jacques / Mutter, Didier / Serra-Aracil, Xavier

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland

2024

Language	English
Publishing date	2024-02-05
Publishing country	England
Document type	Letter
ZDB-ID	1440017-0
ISSN	1463-1318 ; 1462-8910
ISSN (online)	1463-1318
ISSN	1462-8910
DOI	10.1111/codi.16910
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Zs.A 5799: Show issues

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Article ; Online: Endoscopic management of obesity: Impact of endoscopic sleeve gastroplasty on weight loss and co-morbidities at six months and one year.

Alexandre, F / Lapergola, A / Vannucci, M / Pizzicannella, M / D'Urso, A / Saviano, A / Mutter, D / Vix, M / Perretta, S

Journal of visceral surgery

2023 Volume 160, Issue 2S, Page(s) S38–S46

Abstract: Introduction: Endoscopic sleeve gastroplasty (ESG) is one of the new minimally invasive endoscopic treatments aimed at inducing weight loss. Its effectiveness in terms of weight loss is proven. Gastric volume reduction and delayed gastric emptying are ... ...

Abstract	Introduction: Endoscopic sleeve gastroplasty (ESG) is one of the new minimally invasive endoscopic treatments aimed at inducing weight loss. Its effectiveness in terms of weight loss is proven. Gastric volume reduction and delayed gastric emptying are the mechanisms that drive weight loss. However, potential benefits for co-morbidities in relation to weight loss after ESG are still being investigated. This study aims to evaluate the effect of ESG procedures on major obesity-associated co-morbidities, and on some biological parameters. Patients and methods: This is a series of consecutive cases from a prospective observational study carried out in a specialized center that follows a standardized care pathway for the multimodal management of obesity. Patients who have undergone ESG with endoscopic and laboratory follow-up at six and twelve months after this intervention were included in the study. Prospectively recorded data on weight loss, co-morbidities and laboratory parameters at six and twelve months after surgery was analyzed retrospectively. Changes in body mass index (BMI), absolute weight loss (AWL), percent of excess weight loss (%EWL) and percent total weight loss (%TWL) were assessed at six and twelve months. Reduction in various obesity-related co-morbidities (arterial hypertension [AHT], type 2 diabetes mellitus [T2DM], gastroesophageal reflux disease [GERD], obstructive sleep apnea syndrome [OSAS] and dyslipidemia was also evaluated at six and twelve months. Changes in blood glucose, liver function tests and lipid blood tests were also analyzed at six and twelve months. Results: From October 2016 to July 2021, 99 of the 227 patients who underwent ESG in our unit (43.6%) subsequently underwent a complete endoscopic and laboratory follow-up at six and twelve months. The initial BMI was 42.7±7.8kg/m Conclusion: ESG is a well-tolerated and safe surgical procedure that is effective in terms of weight loss and reduction of obesity-related co-morbidities at six months and one year. This procedure could thus be adopted on a broader clinical scale and be more widely promoted as an effective treatment for morbid obesity.
MeSH term(s)	Humans ; Female ; Adult ; Middle Aged ; Male ; Gastroplasty/methods ; Diabetes Mellitus, Type 2/surgery ; Blood Glucose ; Retrospective Studies ; Weight Loss ; Obesity, Morbid/surgery ; Hypertension/epidemiology ; Hypertension/surgery ; Gastroesophageal Reflux/surgery ; Dyslipidemias/surgery ; Treatment Outcome ; Cholesterol ; Morbidity ; Observational Studies as Topic
Chemical Substances	Blood Glucose ; Cholesterol (97C5T2UQ7J)
Language	English
Publishing date	2023-01-30
Publishing country	France
Document type	Journal Article ; Review
ISSN	1878-7886
ISSN (online)	1878-7886
DOI	10.1016/j.jviscsurg.2022.12.003
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Article ; Online: Cholangioscopy under direct visualization: skill progress during a dedicated Image-Guided Surgery Course.

Gimenez, M E / Uribe Rivera, A K / Montanelli, J / Swanström, L L / Mutter, D / Seeliger, B

Surgical endoscopy

2023 Volume 37, Issue 10, Page(s) 8116–8122

Abstract: Aims: Training programs are essential to introduce new methods for bile duct clearance. Visual examination via cholangioscopy is ideal to diagnose and treat biliary tract diseases such as cancer and choledocholithiasis. However, surgeons rarely use ... ...

Abstract	Aims: Training programs are essential to introduce new methods for bile duct clearance. Visual examination via cholangioscopy is ideal to diagnose and treat biliary tract diseases such as cancer and choledocholithiasis. However, surgeons rarely use cholangioscopes. Specific training is required to master laparoscopic and percutaneous cholangioscopy. This study aims to assess skill acquisition and retention during cholangioscopy training in the Image-Guided Therapies Masterclass. Methods: This prospective study enrolled 17 physicians undergoing training in interventional treatments of biliary diseases. A novel disposable cholangioscope and access kit were used with a biliary tract model including two simulated common bile duct (CBD) stones. The curriculum required visualization of all critical structures before removal of one stone with a Dormia basket. After informed consent, demographic data and time to exercise completion were recorded on each of two subsequent training days. Task-specific questions were measured at the completion of training using a Likert scale (strongly disagree to strongly agree, 1-5 points). Results: All participants successfully completed the task (6F/11 M, age 36 ± 5 years; 13 surgeons, 4 interventional radiologists; median experience with percutaneous procedures 2 years, range 0-20). Significant improvement in mean task completion time was observed (day 1: 172 ± 59 s, day 2: 89 ± 45 s; P < 0.0001). All task-specific questions were answered with a median rating of 5/5: "The platform facilitates cholangioscopy" and "This training method accelerates gain in proficiency and is useful for residents/fellows" (IQR 5-5), "This platform is useful to measure the proficiency level" and "There is an application for simulation in percutaneous surgery training" (IQR 4.5-5), "The platform is user-friendly" and "The model quality recreates realistic scenarios" (IQR 4-5). Conclusion: Cholangioscopic bile duct exploration and stone retrieval were achieved by all participants using a dedicated training program and physical simulator. Significant skill progress was observed during 2 days of dedicated training.
MeSH term(s)	Humans ; Adult ; Prospective Studies ; Endoscopy, Digestive System/methods ; Gallstones/surgery ; Laparoscopy ; Surgery, Computer-Assisted
Language	English
Publishing date	2023-09-01
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	639039-0
ISSN	1432-2218 ; 0930-2794
ISSN (online)	1432-2218
ISSN	0930-2794
DOI	10.1007/s00464-023-10357-7
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Zs.A 2214: Show issues

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Article ; Online: Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition.

Sharma, Saurav / Nwoye, Chinedu Innocent / Mutter, Didier / Padoy, Nicolas

International journal of computer assisted radiology and surgery

2023 Volume 18, Issue 6, Page(s) 1053–1059

Abstract: Purpose: One of the recent advances in surgical AI is the recognition of surgical activities as triplets of [Formula: see text]instrument, verb, target[Formula: see text]. Albeit providing detailed information for computer-assisted intervention, current ...

Abstract	Purpose: One of the recent advances in surgical AI is the recognition of surgical activities as triplets of [Formula: see text]instrument, verb, target[Formula: see text]. Albeit providing detailed information for computer-assisted intervention, current triplet recognition approaches rely only on single-frame features. Exploiting the temporal cues from earlier frames would improve the recognition of surgical action triplets from videos. Methods: In this paper, we propose Rendezvous in Time (RiT)-a deep learning model that extends the state-of-the-art model, Rendezvous, with temporal modeling. Focusing more on the verbs, our RiT explores the connectedness of current and past frames to learn temporal attention-based features for enhanced triplet recognition. Results: We validate our proposal on the challenging surgical triplet dataset, CholecT45, demonstrating an improved recognition of the verb and triplet along with other interactions involving the verb such as [Formula: see text]instrument, verb[Formula: see text]. Qualitative results show that the RiT produces smoother predictions for most triplet instances than the state-of-the-arts. Conclusion: We present a novel attention-based approach that leverages the temporal fusion of video frames to model the evolution of surgical actions and exploit their benefits for surgical triplet recognition.
Language	English
Publishing date	2023-04-25
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2365628-1
ISSN	1861-6429 ; 1861-6410
ISSN (online)	1861-6429
ISSN	1861-6410
DOI	10.1007/s11548-023-02914-1
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Zs.A 6615: Show issues

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Conference proceedings ; Online: First-principles calculations of phase stability, electronic structure, and defect properties of perovskites for SOFC/SOEC electrodes

Mutter, D. / Urban, D.F. / Elsässer, C.

2021

Abstract: S.143-154 ... Solid oxide fuel cells (SOFC) and solid oxide electrolyzer cells (SOEC), which transform chemical into electrical energy and vice versa, have the potential to make a significant contribution to the efforts of overcoming present problems of ... ...

Abstract	S.143-154 Solid oxide fuel cells (SOFC) and solid oxide electrolyzer cells (SOEC), which transform chemical into electrical energy and vice versa, have the potential to make a significant contribution to the efforts of overcoming present problems of the energy economy in the near future. An optimal functionality of these devices requires a high catalytic activity at the electrodes, which strongly depends on point defect concentrations and on the capability of the material to allow for fast charge transfer reactions. Promising anode materials regarding these requirements are perovskite compounds (ABO3), where the transition-metal ion on the B site can adopt different oxidation states by accepting and releasing electrons during the oxygen reactions at the SOEC/SOFC surfaces. For LaFeO3, a typical representative of this material class, we present results regarding the phase stability and point defect formation energies derived by density functional theory GGA+U calculations. The influence of point defects on the electronic charge-carrier concentrations as a function of the oxygen partial pressure is studied and compared for the perovskite materials LaFeO3, LaMnO3 and CaMnO3. In addition to the scientific results, the performance of the DFT calculations applied for these studies on the ForHLR I computer cluster is reported.
Keywords	computational science and engineering ; high performance computing ; modeling ; simulation ; vector supercomputers ; 620
Language	English
Publishing country	de
Document type	Conference proceedings ; Online
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Article ; Online: Automatic surgical phase recognition in laparoscopic inguinal hernia repair with artificial intelligence.

Takeuchi, M / Collins, T / Ndagijimana, A / Kawakubo, H / Kitagawa, Y / Marescaux, J / Mutter, D / Perretta, S / Hostettler, A / Dallemagne, B

Hernia : the journal of hernias and abdominal wall surgery

2022 Volume 26, Issue 6, Page(s) 1669–1678

Abstract: Background: Because of the complexity of the intra-abdominal anatomy in the posterior approach, a longer learning curve has been observed in laparoscopic transabdominal preperitoneal (TAPP) inguinal hernia repair. Consequently, automatic tools using ... ...

Abstract	Background: Because of the complexity of the intra-abdominal anatomy in the posterior approach, a longer learning curve has been observed in laparoscopic transabdominal preperitoneal (TAPP) inguinal hernia repair. Consequently, automatic tools using artificial intelligence (AI) to monitor TAPP procedures and assess learning curves are required. The primary objective of this study was to establish a deep learning-based automated surgical phase recognition system for TAPP. A secondary objective was to investigate the relationship between surgical skills and phase duration. Methods: This study enrolled 119 patients who underwent the TAPP procedure. The surgical videos were annotated (delineated in time) and split into seven surgical phases (preparation, peritoneal flap incision, peritoneal flap dissection, hernia dissection, mesh deployment, mesh fixation, peritoneal flap closure, and additional closure). An AI model was trained to automatically recognize surgical phases from videos. The relationship between phase duration and surgical skills were also evaluated. Results: A fourfold cross-validation was used to assess the performance of the AI model. The accuracy was 88.81 and 85.82%, in unilateral and bilateral cases, respectively. In unilateral hernia cases, the duration of peritoneal incision (p = 0.003) and hernia dissection (p = 0.014) detected via AI were significantly shorter for experts than for trainees. Conclusion: An automated surgical phase recognition system was established for TAPP using deep learning with a high accuracy. Our AI-based system can be useful for the automatic monitoring of surgery progress, improving OR efficiency, evaluating surgical skills and video-based surgical education. Specific phase durations detected via the AI model were significantly associated with the surgeons' learning curve.
MeSH term(s)	Humans ; Hernia, Inguinal/surgery ; Herniorrhaphy/methods ; Surgical Mesh ; Artificial Intelligence ; Laparoscopy/methods
Language	English
Publishing date	2022-05-10
Publishing country	France
Document type	Journal Article
ZDB-ID	1388125-5
ISSN	1248-9204 ; 1265-4906
ISSN (online)	1248-9204
ISSN	1265-4906
DOI	10.1007/s10029-022-02621-x
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Zs.A 5390: Show issues

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Article ; Online: Latent Graph Representations for Critical View of Safety Assessment.

Murali, Aditya / Alapatt, Deepak / Mascagni, Pietro / Vardazaryan, Armine / Garcia, Alain / Okamoto, Nariaki / Mutter, Didier / Padoy, Nicolas

IEEE transactions on medical imaging

2024 Volume 43, Issue 3, Page(s) 1247–1258

Abstract: Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate identification and localization of key anatomical structures, reasoning about their geometric relationships to one another, and determining the quality of their ... ...

Abstract	Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate identification and localization of key anatomical structures, reasoning about their geometric relationships to one another, and determining the quality of their exposure. Prior works have approached this task by including semantic segmentation as an intermediate step, using predicted segmentation masks to then predict the CVS. While these methods are effective, they rely on extremely expensive ground-truth segmentation annotations and tend to fail when the predicted segmentation is incorrect, limiting generalization. In this work, we propose a method for CVS prediction wherein we first represent a surgical image using a disentangled latent scene graph, then process this representation using a graph neural network. Our graph representations explicitly encode semantic information - object location, class information, geometric relations - to improve anatomy-driven reasoning, as well as visual features to retain differentiability and thereby provide robustness to semantic errors. Finally, to address annotation cost, we propose to train our method using only bounding box annotations, incorporating an auxiliary image reconstruction objective to learn fine-grained object boundaries. We show that our method not only outperforms several baseline methods when trained with bounding box annotations, but also scales effectively when trained with segmentation masks, maintaining state-of-the-art performance.
MeSH term(s)	Image Processing, Computer-Assisted ; Neural Networks, Computer ; Semantics
Language	English
Publishing date	2024-03-05
Publishing country	United States
Document type	Journal Article
ZDB-ID	622531-7
ISSN	1558-254X ; 0278-0062
ISSN (online)	1558-254X
ISSN	0278-0062
DOI	10.1109/TMI.2023.3333034
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Zs.A 2546: Show issues

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