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Three-dimensional automatic artificial intelligence driven augmented-reality selective biopsy during nerve-sparing robot-assisted radical prostatectomy:A feasibility and accuracy study

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Asian Journal of Urology 2023年第4期10卷 407-415页

作者： enrico checcucci Alberto Piana Gabriele Volpi Pietro Piazzolla Daniele Amparore Sabrina De Cillis Federico Piramide Cecilia Gatti Ilaria Stura enrico Bollito Federica Massa Michele Di Dio Cristian Fiori Francesco Porpiglia Department of Surgery Candiolo Cancer InstituteFPO-IRCCSCandioloTurinItaly Department of Oncology Division of UrologyUniversity of TurinSan Luigi Gonzaga HospitalOrbassanoToItaly Department of Mechanical Engineering Politecnico di MilanoMilanItaly Department of Public Health and Pediatric Sciences School of MedicineUniversity of TurinItaly Department of Pathology San Luigi Gonzaga HospitalUniversity of TurinOrbassanoItaly SS Annunziata Hospital Department of SurgeryDivision of UrologyCosenzaItaly

Objective:To evaluate the accuracy of our new three-dimensional(3D)automatic augmented reality(AAR)system guided by artificial intelligence in the identification of tumour’s location at the level of the preserved neurovascular bundle(NVB)at the end of the extirpative phase of nerve-sparing robot-assisted radical prostatectomy.Methods:In this prospective study,we enrolled patients with prostate cancer(clinical stages cT1ce3,cN0,and cM0)with a positive index lesion at target biopsy,suspicious for capsular contact or extracapsular extension at preoperative multiparametric magnetic resonance imaging.Patients underwent robot-assisted radical prostatectomy at San Luigi Gonzaga Hospital(Orbassano,Turin,Italy),from December 2020 to December 2021.At the end of extirpative phase,thanks to our new AAR artificial intelligence driven system,the virtual prostate 3D model allowed to identify the tumour’s location at the level of the preserved NVB and to perform a selective excisional biopsy,sparing the remaining portion of the bundle.Perioperative and postoperative data were evaluated,especially focusing on the positive surgical margin(PSM)rates,potency,continence recovery,and biochemical recurrence.Results:Thirty-four patients were enrolled.In 15(44.1%)cases,the target lesion was in contact with the prostatic capsule at multiparametric magnetic resonance imaging(Wheeler grade L2)while in 19(55.9%)cases extracapsular extension was detected(Wheeler grade L3).3D AAR guided biopsies were negative in all pathological tumour stage 2(pT2)patients while they revealed the presence of cancer in 14 cases in the pT3 cohort(14/16;87.5%).PSM rates were 0%and 7.1%in the pathological stages pT2 and pT3(<3 mm,Gleason score 3),respectively.Conclusion:With the proposed 3D AAR system,it is possible to correctly identify the lesion’s location on the NVB in 87.5%of pT3 patients and perform a 3D-guided tailored nerve-sparing even in locally advanced diseases,without compromising the oncological safety in terms of PSM rates.

关键词： Prostate cancer Augmented reality Artificial intelligence Robotics Radical prostatectomy

Three-dimensional imaging reconstruction of the kidney’s anatomy for a tailored minimally invasive partial nephrectomy:A pilot study

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Asian Journal of Urology 2022年第3期9卷 263-271页

作者： Daniele Amparore Angela Pecoraro Federico Piramide Paolo Verri enrico checcucci Sabrina De Cillis Alberto Piana Mariano Burgio Michele Di Dio Matteo Manfredi Cristian Fiori Francesco Porpiglia Department of Urology San Luigi Gonzaga HospitalUniversity of TurinOrbassanoTurinItaly European Association of Urology(EAU)Young Academic Urologists(YAU)Renal Cancer Working Group ArnhemNetherlands European Association of Urology(EAU)Young Academic Urologists(YAU)Uro-technology and SoMe Working Group ArnhemNetherlands Division of Urology Department of SurgerySS Annunziata HospitalCosenzaItaly

Objective:The aim of the study was to evaluate three-dimensional virtual models(3DVMs)usefulness in the intraoperative assistance of minimally-invasive partial nephrectomy in highly complex renal tumors.Methods:At our institution cT1-2N0M0 all renal masses with Preoperative Aspects and Dimensions Used for an Anatomical classification score≥10 treated with minimally-invasive partial nephrectomy were considered for the present study.For inclusion a baseline contrast-enhanced computed tomography in order to obtain 3DVMs,the baseline and postoperative serum creatinine as well as estimated glomerular filtration rate values were needed.These patients,in which 3DVMs were used to assist the surgeon in the planning and intraoperative guidance,were then compared with a control group of patients who underwent minimally-invasive partial nephrectomy with the same renal function assessments,but without 3DVMs.Multivariable logistic regression models were used to predict the margin,ischemia,and complication score achievement.Results:Overall,79 patients met the inclusion criteria and were compared with 143 complex renal masses without 3DVM assistance.The 3DVM group showed better postoperative outcomes in terms of baseline-weighted differential estimated glomerular filtration rate(-17.7%vs.-22.2%,p=0.03),postoperative complications(16.5%vs.23.1%,p=0.03),and major complications(Clavien Dindo>III,2.5%vs.5.6%,p=0.03).At multivariable logistic regression 3DVM assistance independently predicted higher rates of successful partial nephrectomy(odds ratio:1.42,p=0.03).Conclusion:3DVMs represent a useful tool to plan a tailored surgical approach in case of surgically complex masses.They can be used in different ways,matching the surgeon's needs from the planning phase to the demolitive and reconstructive phase,leading towards maximum safety and efficacy outcomes.

关键词： Three-dimensional Kidney cancer Renal cell carcinoma Robotic Laparoscopic Nephron-sparing surgery Complex renal mass

Influence of manufacturing process-induced geometrical defects on the energy absorption capacity of polymer lattice structures

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Defence Technology（防务技术） 2024年第5期35卷 47-59页

作者： Alexandre Riot enrico Panettieri Antonio Cosculluela Marco Montemurro Universite de Bordeaux Arts et Metiers Institute of TechnologyCNRSINRABordeaux INPHESAM UniversiteI2M UMR 5295F-33405 TalenceFrance French Atomic Energy Commission Route des GargailsCedexF-33114Le BarpFrance

Modern additive manufacturing processes enable fabricating architected cellular materials of complex shape,which can be used for different purposes.Among them,lattice structures are increasingly used in applications requiring a compromise among lightness and suited mechanical properties,like improved energy absorption capacity and specific stiffness-to-weight and strength-to-weight ratios.A dedicated modeling strategy to assess the energy absorption capacity of lattice structures under uni-axial compression loading is presented in this work.The numerical model is developed in a non-linear framework accounting for the strain rate effect on the mechanical responses of the lattice structure.Four geometries,i.e.,cubic body centered cell,octet cell,rhombic-dodecahedron and truncated cuboctahedron 2+,are investigated.Specifically,the influence of the relative density of the representative volume element of each geometry,the strain-rate dependency of the bulk material and of the presence of the manufacturing process-induced geometrical imperfections on the energy absorption capacity of the lattice structure is investigated.The main outcome of this study points out the importance of correctly integrating geometrical imperfections into the modeling strategy when shock absorption applications are aimed for.

关键词： Lattice structures Architected cellular materials Dynamic simulation Energy absorption Geometrical imperfection Additive manufacturing

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Artificial intelligence for renal cancer:From imaging to histology and beyond

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Asian Journal of Urology 2022年第3期9卷 243-252页

作者： Karl-Friedrich Kowalewski Luisa Egen Chanel E.Fischetti Stefano Puliatti Gomez Rivas Juan Mark Taratkin Rivero Belenchon Ines Marie Angela Sidoti Abate Julia Muhlbauer Frederik Wessels enrico checcucci Giovanni Cacciamani Department of Urology and Urological Surgery University Medical Centre MannheimMannheimGermany Department of Emergency Medicine Brigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA Urology Department University of Modena&Reggio EmiliaModenaItaly ORSI Academy MelleBelgium Department of Urology Hospital Clinico San CarlosMadridSpain Institute for Urology and Reproductive Health Sechenov UniversityMoscowRussia Urology and Nephrology Department Virgen del Rocı´o University HospitalManuel Siurot s/nSevilleSpain Department of Surgery Candiolo Cancer InstituteFPO-IRCCSCandioloTurinItaly USC Institute of Urology University of Southern CaliforniaLos AngelesCAUSA

Artificial intelligence(AI)has made considerable progress within the last decade and is the subject of contemporary literature.This trend is driven by improved computational abilities and increasing amounts of complex data that allow for new approaches in analysis and interpretation.Renal cell carcinoma(RCC)has a rising incidence since most tumors are now detected at an earlier stage due to improved imaging.This creates considerable challenges as approximately 10%e17%of kidney tumors are designated as benign in histopathological evaluation;however,certain co-morbid populations(the obese and elderly)have an increased peri-interventional risk.AI offers an alternative solution by helping to optimize precision and guidance for diagnostic and therapeutic decisions.The narrative review introduced basic principles and provide a comprehensive overview of current AI techniques for RCC.Currently,AI applications can be found in any aspect of RCC management including diagnostics,perioperative care,pathology,and follow-up.Most commonly applied models include neural networks,random forest,support vector machines,and regression.However,for implementation in daily practice,health care providers need to develop a basic understanding and establish interdisciplinary collaborations in order to standardize datasets,define meaningful endpoints,and unify interpretation.

关键词： Kidney cancer Imaging Technology Artificial intelligence Machine learning

Stem cell technology for antitumor drug loading and delivery in oncology

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Oncology Research 2024年第3期32卷 433-437页

作者： FRANCESCO PETRELLA enrico MARIO CASSINA LIDIA LIBRETTI EMANUELE PIRONDINI FEDERICO RAVEGLIA ANTONIO TUORO Department of Thoracic Surgery Fondazione IRCCSS an Gerardo dei TintoriMonza20900Italy

The main aim of antineoplastic treatment is to maximize patient benefit by augmenting the drug accumulation within affected organs and tissues,thus incrementing drug effects and,at the same time,reducing the damage of non-involved tissues to cytotoxic agents.Mesenchymal stromal cells(MSC)represent a group of undifferentiated multipotent cells presenting wide self-renewal features and the capacity to differentiate into an assortment of mesenchymal family cells.During the last year,they have been proposed as natural carriers for the selective release of antitumor drugs to malignant cll,s thus optimizing cytotoxic action on cancer cll,while significantly reducing adverse side efect on healthy cells.MSC chemotherapeutic drug loading and delivery is an encouraging new area of cell therapy for several tumors,especially for those with unsatisfactory prognosis and limited treatment options available.Although some experim ental models have been sucesfuly developed,phase I dinical studies are needed to confirm this potential application of cell therapy,in particular in the case of primary and secondary lung cancers.

关键词： Mesenchymal stromal cell Drug loading Drug delivery Mesothelioma Melanoma Glioblastoma Pancreatic ductal adenocarcinoma Multiple myeloma

A STAMP-Game model for accident analysis in oil and gas industry

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Petroleum Science 2024年第3期21卷 2154-2167页

作者： Huixing Meng Xu An Daiwei Li Shijun Zhao enrico Zio Xuan Liu Jinduo Xing State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of Technology School of Emergency Management and Safety Engineering China University of Mining and Technology (Beijing) Energy Department Politecnico di Milano Mines Paris PSL Centre de Recherche sur les Risques et les Crises School of Mechanical-Electronic and Vehicle Engineering Beijing University of Civil Engineering and Architecture

Accidents in engineered systems are usually generated by complex socio-technical factors. It is beneficial to investigate the increasing complexity and coupling of these factors from the perspective of system safety. Based on system and control theories, System-Theoretic Accident Model and Processes(STAMP) is a widely recognized approach for accident analysis. In this paper, we propose a STAMP-Game model to analyze accidents in oil and gas storage and transportation systems. Stakeholders in accident analysis by STAMP can be regarded as players of a game. Game theory can, thus, be adopted in accident analysis to depict the competition and cooperation between stakeholders. Subsequently, we established a game model to study the strategies of both supervisory and supervised entities. The obtained results demonstrate that the proposed game model allows for identifying the effectiveness deficiency of the supervisory entity, and the safety and protection altitudes of the supervised entity. The STAMP-Game model can generate quantitative parameters for supporting the behavior and strategy selections of the supervisory and supervised entities. The quantitative data obtained can be used to guide the safety improvement, to reduce the costs of safety regulation violation and accident risk.

关键词： Accident analysis STAMP System engineering Game theory Oil and gas storage and transportation systems

Therapeutic targeting of cellular prion protein: toward the development of dual mechanism anti-prion compounds

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Neural Regeneration Research 2025年第4期20卷 1009-1014页

作者： Antonio Masone Chiara Zucchelli enrico Caruso Giovanna Musco Roberto Chiesa Laboratory of Prion Neurobiology Department of NeuroscienceIstituto di Ricerche Farmacologiche Mario Negri IRCCSMilanItaly Biomolecular NMR Unit Division of Genetics and Cell BiologyIRCCS Ospedale San RaffaeleMilanItaly Department of Biotechnology and Life Sciences University of InsubriaVareseItaly

PrPSc,a misfolded,aggregation-prone isoform of the cellular prion protein(PrPC),is the infectious prion agent responsible for fatal neurodegenerative diseases of humans and other mammals.PrPSccan adopt different pathogenic conformations(prion strains),which can be resistant to potential drugs,or acquire drug resistance,posing challenges for the development of effective therapies.Since PrPCis the obligate precursor of any prion strain and serves as the mediator of prion neurotoxicity,it represents an attractive therapeutic target fo r prion diseases.In this minireview,we briefly outline the approaches to target PrPCand discuss our recent identification of Zn(Ⅱ)-Bn PyP,a PrPC-targeting porphyrin with an unprecedented bimodal mechanism of action.We argue that in-depth understanding of the molecular mechanism by which Zn(Ⅱ)-Bn PyP targets PrPCmay lead toward the development of a new class of dual mechanism anti-prion compounds.

关键词： anti-prion drug anti-PrPC antibody antisense oligonucleotide neurodegeneration pharmacological chaperone porphyrin prion disease PrPC degrader PrPC shedding zinc finger repressor

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New imaging technologies for robotic kidney cancer surgery

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Asian Journal of Urology 2022年第3期9卷 253-262页

作者： Stefano Puliatti Ahmed Eissa enrico checcucci Pietro Piazza Marco Amato Stefania Ferretti Simone Scarcella Juan Gomez Rivas Mark Taratkin Jose Marenco Ines Belenchon Rivero Karl-Friedrich Kowalewski Giovanni Cacciamani Ahmed El-Sherbiny Ahmed Zoeir Abdelhamid MEl-Bahnasy Ruben De Groote Alexandre Mottrie Salvatore Micali Urology Department University of Modena&Reggio EmiliaModenaItaly ORSI Academy MelleBelgium Urology Department Faculty of MedicineTanta UniversityTantaEgypt Department of Surgery Candiolo Cancer InstituteFPO-IRCCSCandioloTurinItaly Division of Urology IRCCS Azienda Ospedaliero-Universitaria di BolognaBolognaItaly Department of Urology Polytechnic University of Marche RegionUmberto I Hospital“Ospedali Riuniti”AnconaItaly Uro-technology and SoMe Working Group of the Young Academic Urologists Working Party European Association of UrologyArnhemthe Netherlands Department of Urology Hospital Clinico San CarlosMadridSpain Institute for Urology and Reproductive Health Sechenov UniversityMoscowRussia Department of Urology Fundacio´n Instituto Valenciano de Oncologı´aValenciaSpain Urology and Nephrology Department Virgen del Rocı´o University HospitalManuel Siurot Sin NumeroSevilleSpain Department of Urology and Urological Surgery University Medical Centre MannheimMannheimGermany USC Institute of Urology University of Southern CaliforniaLos AngelesCAUSA Department of Urology Onze-Lieve-VrouwziekenhuisAalstBelgium

Objective:Kidney cancers account for approximately 2%of all newly diagnosed cancer in 2020.Among the primary treatment options for kidney cancer,urologist may choose between radical or partial nephrectomy,or ablative therapies.Nowadays,robotic-assisted partial nephrectomy(RAPN)for the management of renal cancers has gained popularity,up to being considered the gold standard.However,RAPN is a challenging procedure with a steep learning curve.Methods:In this narrative review,different imaging technologies used to guide and aid RAPN are discussed.Results:Three-dimensional visualization technology has been extensively discussed in RAPN,showing its value in enhancing robotic-surgery training,patient counseling,surgical planning,and intraoperative guidance.Intraoperative imaging technologies such as intracorporeal ultrasound,near-infrared fluorescent imaging,and intraoperative pathological examination can also be used to improve the outcomes following RAPN.Finally,artificial intelligence may play a role in the field of RAPN soon.Conclusion:RAPN is a complex surgery;however,many imaging technologies may play an important role in facilitating it.

关键词： Kidney cancer Imaging Technology Robotic

NiCo/Al_(2)O_(3)nanocatalysts for the synthesis of 5-amino-1-pentanol and 1,5-pentanediol from biomass-derived 2-hydroxytetrahydropyran

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Green Chemical Engineering 2024年第1期5卷 119-131页

作者： Jian Yang Jia Zhang enrico Benassi Xuemei Li Hailong Liu Weiguo Fang Junying Tian Chungu Xia Zhiwei Huang State Key Laboratory for Oxo Synthesis and Selective Oxidation Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou730000China School of Petrochemical Engineering Lanzhou University of TechnologyLanzhou730050China Novosibirsk State University Novosibirsk630090Russia University of Chinese Academy of Sciences Beijing100049China

Al_(2)O_(3)-supported monometallic Ni,Co,and bimetallic Ni-Co nanocatalysts originated from layered double hydroxide precursors were synthesized by co-precipitation method,and used for the synthesis of useful 5-amino-1-pentanol(5-AP)and 1,5-pentanediol(1,5-PD)by reductive amination(RA)or direct hydrogenation of biofurfuralderived 2-hydroxytetrahydropyran(2-HTHP),respectively.In both reactions,the yield of the target products decreased monotonously with the increasing amounts of Co in the NiCo/Al_(2)O_(3)catalysts,owing probably to the replacement of highly reactive Ni by Co component with inferior hydrogenation activity at the low reaction temperature of 60℃.However,the incorporation of Co could improve the reducibility of the NiCo/Al_(2)O_(3)bimetallic catalysts and promote the reaction stability of the catalysts,especially for Ni_(2)Co1/Al_(2)O_(3),in both reactions with over 180 h time-on-stream.Characterization of the catalysts before and after the reaction showed that the incorporating Co could inhibit the sintering of metal particles and hinder the surface oxidation of the more reactive Ni0species,thanks to the formation of Ni-Co alloy in the bimetallic catalysts.DFT-based modeling of the reaction mechanisms is also performed,supporting the reaction pathway proposed previously and also the much higher activity of Ni in the RA of 2-HTHP as compared with Co.

关键词： NiCo bimetallic catalysts Layered double hydroxide Reductive amination Amino alcohol Quantum chemical calculations

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