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computer-assisted three-dimensional individualized extreme liver resection for hepatoblastoma in proximity to the major liver vasculature

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World Journal of Gastrointestinal surgery 2024年第4期16卷 1066-1077页

作者： Wen-Li Xiu Jie Liu Jing-Li Zhang Jing-Miao Wang Xue-Feng Wang Fei-Fei Wang Jie Mi Xi-Wei Hao NanXia Qian Dong Department of Pediatric Surgery The Affiliated Hospital of Qingdao UniversityQingdao 266000Shandong ProvinceChina Department of Pediatric Surgery Yijishan Hospital of Wannan Medical CollegeWuhu 241000Anhui ProvinceChina Shandong Provincial Key Laboratory of Digital Medicine and Computer-assisted Surgery Shandong College Collaborative Innovation Center of Digital Medicine Clinical Treatment and Nutrition HealthQingdao UniversityQingdao 266003Shandong ProvinceChina

BACKGROUND The management of hepatoblastoma(HB)becomes challenging when the tumor remains in close proximity to the major liver vasculature(PMV)even after a full course of neoadjuvant chemotherapy(NAC).In such cases,extreme liver resection can be considered a potential *** To explore whether computer-assisted three-dimensional individualized extreme liver resection is safe and feasible for children with HB who still have PMV after a full course of *** We retrospectively collected data from children with HB who underwent surgical resection at our center from June 2013 to June *** then analyzed the detailed clinical and three-dimensional characteristics of children with HB who still had PMV after a full course of *** Sixty-seven children diagnosed with HB underwent surgical *** age at diagnosis was 21.4±18.8 months,and 40 boys and 27 girls were ***-nine(88.1%)patients had a single tumor,39(58.2%)of which was located in the right lobe of the liver.A total of 47 patients(70.1%)had PRE-TEXT III or ***-nine patients(58.2%)underwent delayed *** a full course of NAC,16 patients still had close PMV(within 1 cm in two patients,touching in 11 patients,compressing in four patients,and showing tumor thrombus in three patients).There were 6 patients of tumors in the middle lobe of the liver,and four of those patients exhibited liver anatomy *** 16 children underwent extreme liver resection after comprehensive preoperative *** procedures were performed according to the preoperative plan,and the operations were successfully ***,the 3-year event-free survival of 67 children with HB is 88%.Among the 16 children who underwent extreme liver resection,three experienced recurrence,and one died due to multiple *** Extreme liver resection for HB that is still in close PMV after a full course of NAC is both safe and *** approach not only reduces th

关键词： Children Hepatoblastoma surgery Three-dimensional computer-assisted

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IMAGGS: a radiogenomic framework for identifying multi-way associations in breast cancer subtypes

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Journal of Genetics and Genomics 2024年第4期51卷 443-453页

作者： Shuyu Liang Sicheng Xu Shichong Zhou Cai Chang Zhiming Shao Yuanyuan Wang Sheng Chen Yunxia Huang Yi Guo Department of Electronic Engineering School of Information Science and TechnologyFudan UniversityShanghai 200433China The Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention(MICCAI)of Shanghai Shanghai 200032China Shanghai Key Laboratory of Metabolic Remodeling and Health Institute of Metabolism and Integrative BiologyFudan UniversityShanghai 200433China Department of Ultrasound Fudan University Shanghai Cancer CenterDepartment of OncologyShanghai Medical CollegeFudan UniversityShanghai 200032China Department of Breast Surgery Fudan University Shanghai Cancer CenterDepartment of OncologyShanghai Medical CollegeFudan UniversityShanghai 200032China

Investigating correlations between radiomic and genomic profiling in breast cancer(BC)molecular subtypes is crucial for understanding disease mechanisms and providing personalized *** present a well-designed radiogenomic framework image–gene–gene set(IMAGGS),which detects multi-way associations in BC subtypes by integrating radiomic and genomic *** dataset consists of 721 patients,each of whom has 12 ultrasound(US)images captured from different angles and gene mutation *** better characterize tumor traits,12 multi-angle US images are fused using two distinct ***,we analyze complex many-to-many associations between phenotypic and genotypic features using a machine learning algorithm,deviating from the prevalent one-to-one relationship pattern observed in previous *** radiomic and genomic features are screened using these *** addition,gene set enrichment analysis is performed to investigate the joint effects of gene sets and delve deeper into the biological functions of BC *** further validate the feasibility of IMAGGS in a glioblastoma multiforme dataset to demonstrate the scalability of IMAGGS across different modalities and *** together,IMAGGS provides a comprehensive characterization for diseases by associating imaging,genes,and gene sets,paving the way for biological interpretation of radiomics and development of targeted therapy.

关键词： IMAGGS Radiogenomic framework "lmage-gene-geneset"associations Molecular subtypes Breast cancer

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computer-assisted rescue of the inferior mesenteric artery in a child with a giant ganglioneuroblastoma: A case report

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World Journal of Gastrointestinal surgery 2023年第5期15卷 984-991页

作者： Wen-Li Xiu Jie Liu Jing-Li Zhang Nan Su Feng-Jiao Wang Xi-Wei Hao Fei-Fei Wang Qian Dong Department of Pediatric Surgery The Affiliated Hospital of Qingdao UniversityQingdao 266000Shandong ProvinceChina Shandong Provincial Key Laboratory of Digital Medicine and Computer-assisted Surgery Shandong College Collaborative Innovation Center of Digital Medicine Clinical Treatment and Nutrition HealthQingdao UniversityQingdao 266003Shandong ProvinceChina Department of Pediatric Surgery Yijishan Hospital of Wannan Medical CollegeWuhu 241000Anhui ProvinceChina

BACKGROUND Ganglioneuroblastoma(GNB)is a peripheral neuroblastoma(NB)with malignant degree between highly malignant NB and benign ganglioma(GN).Pathology is the gold standard of *** GNB is not uncommon in children,biopsy alone may lead to an inaccurate diagnosis,especially for giant ***,surgical resection may be associated with significant ***,we report a case of computer-assisted surgical resection of a giant GNB in a child and successful rescue of the inferior mesenteric *** SUMMARY A 4-year-old girl was admitted to our department for a giant retroperitoneal lesion,which was considered to be an NB by her local *** symptoms of the girl disappeared spontaneously without *** physical examination,a mass of about 10 cm×7 cm could be palpated in her *** and contrast-enhanced computed tomography performed in our hospital also showed an NB,and there was a very thick blood vessel inside the ***,aspiration biopsy revealed *** resection is the best treatment option for this giant benign *** precise preoperative evaluation,threedimensional reconstruction was *** was clear that the tumor was close to the abdominal *** superior mesenteric vein was pushed forward,and the inferior mesenteric artery passed through the *** GN generally does not invade blood vessels,we split the tumor with a CUSA knife during the operation and found that there was indeed a straight and intact vascular *** pulsation was observed in the completely exposed inferior mesenteric *** pathologists interpreting the tissue finally diagnosed it as a mixed GNB(GNBi),which is more malignant than ***,both GN and GNBi usually have a good *** This was a case of successful surgical resection of a giant GNB,and aspiration biopsy underestimated the pathological staging of the *** three-dimensional reconstruction assisted with t

关键词： surgery Children Ganglioneuroblastoma computer-assisted Tumor Case report

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International multidisciplinary consensus recommendations on clinical application of three-dimensional visualization in precision surgery for pediatric liver tumors

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HPB 2025年第6期27卷 733-745页

作者： Dong, Qian Xiu, Wenli Tang, Benjie Hiyama, Eiso Austin, Mary T. Wu, Yeming Yuan, Xiaojun Zhu, Chengzhan Liu, Chengli Ishibashi, Hiroki Tappa, Karthik K. Wang, Huanmin Sun, Chuandong Ma, YunTao Xi, Hongwei Wang, Jian Zhan, Jianghua Ihn, Kyong Shimada, Mitsuo Zhang, Mingman Brindle, Mary E. Thomas, Patrick B. Fumino, Shigehisa Liu, Tao Lobe, Thom Rolle, Udo Wang, Shan Zhai, Xiaowen Koga, Yoshinori Kinoshita, Yoshiaki Bai, Yuzuo Li, Zhaozhu Wen, Zhe Pan, Weikang Sutyak, Krysta M. Giulianotti, Pier C. Department of Pediatric Surgery Shandong Provincial Key Laboratory of Digital Medicine and Computer-assisted Surgery The Affiliated Hospital of Qingdao University Qingdao China Cuschieri Skills Centre University of Dundee Dundee United Kingdom Department of Pediatric Surgery Hiroshima Univeristy Hospital Natural Science Center for Basic Research and Development (N-BARD) Hiroshima University Hiroshima Japan Department of Surgical Oncology The University of Texas MD Anderson Cancer Center TX United States Department of Pediatric Surgery Xinhua Hospital Shanghai Jiao Tong University School of Medicine Shanghai China Department of Pediatric Hematology and Oncology Xinhua Hospital Shanghai Jiao Tong University School of Medicine Shanghai China Department of Hepatobiliary Surgery The Affiliated Hospital of Qingdao University Qingdao China Department of Hepatobiliary Surgery Air Force Medical Center of PLA Beijing China Department of Pediatric Surgery & Pediatric Endoscopic Surgery Tokushima University Hospital Tokushima Japan The University of Texas M.D. Anderson Cancer Center TX United States Department of Pediatric Surgery Beijing Children's Hospital Beijing China Department of General Surgery Gansu Provincial Hospital Gansu Lanzhou China Department of Pediatric Surgery Children's Hospital of Shanxi Shanxi China Department of Surgery Children's Hospital of Soochow University Jiangsu China Department of Pediatric Surgery Tianjin Children's Hospital Tianjin China Division of Pediatric Surgery Severance Children's Hospital Department of Surgery Yonsei University College of Medicine Severance Hospital Seoul South Korea Department of Surgery Tokushima University Tokushima Japan Department of Pediatric Surgery Children's Hospital of Chongqing Medical University Chongqing China Departments of Surgery and Community Health Sciences Cumming School of Medicine University of Calgary Calgary AB Canada UNMC College of Medicine University of Nebraska Medical Center

Background: Pediatric liver tumors are predominantly primary malignant tumors, and complete tumor resection with sufficient preservation of liver tissue is crucial for improving prognosis. However, due to the delicate anatomical structure of the pediatric liver and the relatively large size of the tumors, especially in difficult cases, the surgical challenges are substantial. While precision liver surgery are widely applied in clinical practice, pediatric cases require more customized approaches. The application of three-dimensional (3D) visualization technology is crucial for enhancing surgical accuracy, allowing for precise preoperative planning and intraoperative guidance. Methods: This consensus was collaboratively developed by 36 experts from eight countries, using the Glaser's state-of-the-art method to review and refine the draft. Results: The final consensus resulted in 15 international multidisciplinary consensus recommendations on clinical application of 3D visualization in precision surgery for pediatric liver tumors. Conclusion: This consensus will standardize the application of 3D visualization technology in precision surgery for pediatric liver tumors to improve outcomes and reduce risks. © 2025 The Authors

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RNA splicing alterations in lung cancer pathogenesis and therapy

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Cancer Pathogenesis and Therapy 2023年第4期1卷 272-283页

作者： Yueren Yan Yunpeng Ren Yufang Bao Yongbo Wang Department of Thoracic Surgery Fudan University Shanghai Cancer CenterShanghai 200032China Department of Cellular and Genetic Medicine Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted InterventionSchool of Basic Medical SciencesFudan UniversityShanghai 200032China

RNA splicing alterations are widespread and play critical roles in cancer pathogenesis and *** cancer is highly heterogeneous and causes the most cancer-related deaths ***-scale multi-omics studies have not only characterized the mutational landscapes but also discovered a plethora of transcriptional and post-transcriptional changes in lung *** resources have greatly facilitated the development of new diagnostic markers and therapeutic options over the past two ***,altered RNA splicing has emerged as an important molecular feature and therapeutic target of lung *** this review,we provide a brief overview of splicing dysregulation in lung cancer and summarize the recent progress on key splicing events and splicing factors that contribute to lung cancer ***,we describe the general strategies targeting splicing alterations in lung cancer and highlight the potential of combining splicing modulation with currently approved therapies to combat this deadly *** review provides new mechanistic and therapeutic insights into splicing dysregulation in cancer.

关键词： RNA splicing Splicing factors Splicing alterations Lung cancer

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Evaluation of artificial neural networks for the detection of esophagus tumor cells in microscopic hyperspectral images

Evaluation of artificial neural networks for the detection o...

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Euromicro Symposium on Digital System Design

作者： Anna Schröder Marianne Maktabi René Thieme Boris Jansen–Winkeln Ines Gockel Claire Chalopin Innovation Center Computer Assisted Surgery (ICCAS) Leipzig University Leipzig Germany Department of Visceral Transplantation Thoracic and Vascular Surgery University of Leipzig Medical Center Leipzig Germany Department of General Visceral Thoracic and Vasculary Surgery St. Georg hospital of Leipzig Leipzig Germany

ISBN: (数字)9781665474047

ISBN: (纸本)9781665474054

Microscopic analysis of histological slides of cancer tissue samples is standardly performed under white light microscopy. Researchers demonstrated the potential of artificial intelligence (AI) methods for the automatic identification of tumor cells. Hyperspectral imaging (HSI) combined with AI approaches can improve the accuracy, reliability, and time of the analysis. In this work, a HSI camera was coupled with a standard microscope to acquire microscopic hyperspectral (HS) images of stained histological slides of esophagus cancer tissue of 95 patients. The HS images were analyzed with deep learning algorithms to discriminate healthy cells (squamous epithelium) and tumors (stroma tumor and esophagus adenocarcinoma EAC). Five models were considered: a 2D CNN, a 2D CNN preserving the spatial relationship between spectral layers, a 3D CNN, a pre-trained 3D CNN and a recurrent neural network (RNN). They were evaluated using a leave-one-patient-out cross-validation. The predicted two classes were visualized with false colors. The RNN obtained the highest quantitative results with an accuracy of 0.791, an AUC of 0.79 and a computing time of 7.57 s per 10,000 patches. The best visual result was obtained on two selected HS images with the 2D CNN model. The performance of the automatic classification was higher on tissue which has not been treated with previous neoadjuvant therapy. The combination of HSI with deep learning method is promising for the automatic analysis of histological slides for cancer diagnosis.

关键词： Deep learning Visualization Three-dimensional displays Recurrent neural networks Microscopy Artificial intelligence Tumors

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Detailing the ultrastructure’s increase of prion protein in pancreatic adenocarcinoma

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World Journal of Gastroenterology 2021年第42期27卷 7324-7339页

作者： Matteo Bianchini Maria Anita Giambelluca Maria Concetta Scavuzzo Gregorio Di Franco Simone Guadagni Matteo Palmeri NiccolòFurbetta Desirée Gianardi Niccola Funel Claudio Ricci Raffaele Gaeta Luca Emanuele Pollina Alfredo Falcone Caterina Vivaldi Giulio Di Candio Francesca Biagioni Carla Letizia Busceti Luca Morelli Francesco Fornai General Surgery Unit Department of Translational Research and New Technologies in Medicine and SurgeryUniversity of PisaPisa 56124Italy Human Anatomy Department of Translational Research and New Technologies in Medicine and SurgeryUniversity of PisaPisa 56124Italy Division of Surgical Pathology Department of SurgicalMedicalMolecular Pathology and Critical AreaUniversity of PisaPisa 56124Italy Division of Medical Oncology Department of Translational Research and New Technologies in Medicine and SurgeryUniversity of PisaPisa 56124Italy IRCCS Neuromed Istituto Neurologico MediterraneoPozzilli 86077Italy EndoCAS(Center for Computer Assisted Surgery) University of PisaPisa 56124Italy

BACKGROUND Recent evidences have shown a relationship between prion protein(PrPc)expression and pancreatic ductal adenocarcinoma(PDAC).Indeed,PrPc could be one of the markers explaining the aggressiveness of this ***,studies investigating the specific compartmentalization of increased PrPc expression within PDAC cells are lacking,as well as a correlation between ultrastructural evidence,ultrastructural morphometry of PrPc protein and clinical *** data,as well as the quantitative stoichiometry of this protein detected by immuno-gold,provide a significant advancement in understanding the biology of disease and the outcome of surgical *** To analyze quantitative stoichiometry and compartmentalization of PrPc in PDAC cells and to correlate its presence with prognostic data METHODS Between June 2018 and December 2020,samples from pancreatic tissues of 45 patients treated with pancreatic resection for a preoperative suspicion of PDAC at our Institution were *** the frozen section excluded a PDAC diagnosis,or the nodules were too small for adequate sampling,patients were ruled out from the present *** blotting was used to detect,quantify and compare the expression of PrPc in PDAC and control tissues,such as those of non-affected neighboring pancreatic tissue of the same *** quantify the increase of PrPc and to detect the subcellular compartmentalization of PrPc within PDAC cells,immuno-gold stoichiometry within specific cell compartments was analyzed with electron ***,an analysis of quantitative PrPc expression according to prognostic data,such as cancer stage,recurrence of the disease at 12 mo after surgery and recurrence during adjuvant chemotherapy was *** The amount of PrPc within specimen from 38 out of 45 patients was determined by semi-quantitative analysis by using Western blotting,which indicates that PrPc increases almost three-fold in tumor pancreatic tissue compared with healthy panc

关键词： Pancreatic ductal adenocarcinoma Prion protein Western blotting Electron microscopy Cellular compartmentalization Neuroinvasion

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The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring (vol 30, pg 61, 2024)

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NATURE MEDICINE 2024年第4期30卷 1213-1213页

作者： Marcus, Hani J. Ramirez, Pedro T. Khan, Danyal Z. Horsfall, Hugo Layard Hanrahan, John G. Williams, Simon C. Beard, David J. Bhat, Rani Catchpole, Ken Cook, Andrew Hutchison, Katrina Martin, Janet Melvin, Tom Stoyanov, Danail Rovers, Maroeska Raison, Nicholas Dasgupta, Prokar Noonan, David Stocken, Deborah Sturt, Georgia Vanhoestenberghe, Anne Vasey, Baptiste McCulloch, Peter Department of Neurosurgery National Hospital of Neurology and Neurosurgery London UK Wellcome/Engineering and Physical Sciences Research Council (EPSRC) Centre for Interventional and Surgical Sciences (WEISS) London UK Department of Obstetrics and Gynaecology Houston Methodist Hospital Neal Cancer Center Houston TX USA RCS Surgical Interventional Trials Unit (SITU) & Robotic and Digital Surgery Initiative (RADAR) Nuffield Dept Orthopaedics Rheumatology and Musculo-skeletal Sciences University of Oxford Oxford UK Department of Gynaecological Oncology Apollo Hospital Bengaluru India Department of Anaesthesia and Perioperative Medicine Medical University of South Carolina Charleston SC USA NIHR Coordinating Centre and Clinical Trials Unit University of Southampton Southampton UK Department of Philosophy Macquarie University Sydney Australia Department of Anesthesia & Perioperative Medicine University of Western Ontario Ontario Canada Department of Medical Gerontology School of Medicine Trinity College Dublin Dublin Republic of Ireland Department of Medical Imaging Radboudumc Nijmegen the Netherlands Department of Biomedical Engineering and Imaging Sciences King’s College London London UK King’s Health Partners Academic Surgery King’s College London London UK Moon Surgical Paris France RCSEng Surgical Trials Centre Leeds Institute of Clinical Trials Research University of Leeds Leeds UK Bowel Research UK London UK School of Biomedical Engineering & Imaging Sciences King’s College London London UK Department of Surgery Geneva University Hospital Geneva Switzerland Nuffield Department of Surgical Sciences University of Oxford John Radcliffe Hospital Oxford UK PRISMA Lab University of Naples Federico II Naples Italy Health Ethics and Policy Lab Department of Health Sciences and Technology Zürich Switzerland School of Computer Science University of Birmingham Birmingham UK Division of Cardiac Surgery Brigham and Women’s Hospital Harvard Medical Schoo

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requiring new frameworks for evaluation. However, evaluation during a surgical robot’s development is challenging due to their complex evolving nature, potential for wider system disruption and integration with complementary technologies like artificial intelligence. Comparative clinical studies require attention to intervention context, learning curves and standardized outcomes. Long-term monitoring needs to transition toward collaborative, transparent and inclusive consortiums for real-world data collection. Here, the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) robotics Colloquium proposes recommendations for evaluation during development, comparative study and clinical monitoring of surgical robots—providing practical recommendations for developers, clinicians, patients and healthcare systems. Multiple perspectives are considered, including economics, surgical training, human factors, ethics, patient perspectives and sustainability. Further work is needed on standardized metrics, health economic assessment models and global applicability of recommendations.

关键词： medical research surgery

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CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis

arXiv

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arXiv 2025年

作者： Baumann, Alexander Ayala, Leonardo Seidlitz, Silvia Sellner, Jan Studier-Fischer, Alexander Özdemir, Berkin Maier-Hein, Lena Ilic, Slobodan Siemens AG Munich Germany Heidelberg Germany Medical Faculty Faculty of Mathematics and Computer Science Heidelberg University Germany NCT Heidelberg Germany HIDSS4Health Heidelberg Germany Department of Urology and Urosurgery University Medical Center Mannheim Germany Department of General Visceral and Transplantation Surgery Heidelberg University Hospital Germany Division of Intelligent Systems and Robotics in Urology DKFZ Heidelberg Germany DKFZ Hector Cancer Institute University Medical Center Mannheim Germany

Spectral imaging offers promising applications across diverse domains, including medicine and urban scene understanding, and is already established as a critical modality in remote sensing. However, variability in channel dimensionality and captured wavelengths among spectral cameras impede the development of AI-driven methodologies, leading to camera-specific models with limited generalizability and inadequate cross-camera applicability. To address this bottleneck, we introduce CARL, a model for Camera-Agnostic Representation Learning across RGB, multispectral, and hyperspectral imaging modalities. To enable the conversion of a spectral image with any channel dimensionality to a camera-agnostic embedding, we introduce wavelength positional encoding and a self-attention-cross-attention mechanism to compress spectral information into learned query representations. Spectral-spatial pre-training is achieved with a novel spectral self-supervised JEPA-inspired strategy tailored to CARL. Large-scale experiments across the domains of medical imaging, autonomous driving, and satellite imaging demonstrate our model’s unique robustness to spectral heterogeneity, outperforming on datasets with simulated and real-world cross-camera spectral variations. The scalability and versatility of the proposed approach position our model as a backbone for future spectral foundation models. © 2025, CC BY.

关键词： Image coding

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Injectable Prp-Enriched Photosensitive Hydrogel: Enhanced Prevention and Infection Control in Anastomotic Leaks

SSRN

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SSRN 2024年

作者： Zhang, Dongjie Wang, Huijie Ju, Yiheng Cheng, Yihui Liu, Lei Li, Houxi Lv, Lianghong Zhang, Jing Lu, Yun Department of Gastrointestinal Surgery The Affiliated Hospital of Qingdao University Qingdao University Qingdao China Department of General Surgery The First Affiliated Hospital of Shandong First Medical University Shandong Provincial Qianfoshan Hospital Jinan China Frontiers Science Center for Deep Ocean Multispheres and Earth System Key Laboratory of Marine Chemistry Theory and Technology Ministry of Education Ocean University of China Qingdao China Shandong Key Laboratory of Digital Medicineand Computer Assisted Surgery Qingdao China

The occurrence of anastomotic leakage (AL) could lead to leakage of digestive fluid, which erodes surrounding organs, subsequently causing severe intra-abdominal infections, hemorrhaging, and even death. Preventing AL was crucial for signifi tly enhancing patient quality of life. Thus, we developed an injectable photosensitive hydrogel enriched with platelet-rich plasma (PRP) aimed at preventing AL. This study utilized the Schiff-base crosslinking reaction between photosensitive methacryloyl-substituted gelatin (GM) and oxidized dextran (OD), incorporating PRP to create a multifunctional, tri-crosslinked hydrogel (GM/OD@PRP) that effectively promotes AL healing. This GM/OD@PRP exhibited excellent mechanical properties, biocompatibility, and self-healing capabilities. The hydrogel was loaded with PRP, which was rich in various growth factors that stimulate fibroblast proliferation and angiogenesis, thereby increasing cell proliferation, vascular regeneration, and formation and ultimately promoting healing at the anastomotic site. Furthermore, the superior antimicrobial properties of GM/OD@PRP provide a relatively sterile environment at the healing site, reducing the possibility of abdominal infections. In a rat model of AL, the GM/OD@PRP notably enhanced anastomotic healing, prevented the occurrence of fistulae, and demonstrated significant advantages in reducing abdominal adhesions. This GM/OD@PRP holds substantial potential for use in preventing AL and represents a promising new composite material for improving patient quality of life. © 2024, The Authors. All rights reserved.

关键词： Crosslinking

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