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Joshi K, Espino DM, Shepherd DE, Mahmoodi N, Roberts KJ, Chatzizacharias N, Marudanayagam R, Sutcliffe RP. Pancreatic anastomosis training models: Current status and future directions. Pancreatology 2024; 24:624-629. [PMID: 38580492 DOI: 10.1016/j.pan.2024.03.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 02/23/2024] [Accepted: 03/27/2024] [Indexed: 04/07/2024]
Abstract
Postoperative pancreatic fistula (POPF) is a major cause of morbidity and mortality after pancreatoduodenectomy (PD), and previous research has focused on patient-related risk factors and comparisons between anastomotic techniques. However, it is recognized that surgeon experience is an important factor in POPF outcomes, and that there is a significant learning curve for the pancreatic anastomosis. The aim of this study was to review the current literature on training models for the pancreatic anastomosis, and to explore areas for future research. It is concluded that research is needed to understand the mechanical properties of the human pancreas in an effort to develop a synthetic model that closely mimics its mechanical properties. Virtual reality (VR) is an attractive alternative to synthetic models for surgical training, and further work is needed to develop a VR pancreatic anastomosis training module that provides both high fidelity and haptic feedback.
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Affiliation(s)
- Kunal Joshi
- Department of HPB surgery, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, UK
| | - Daniel M Espino
- Department of Mechanical Engineering, University of Birmingham, UK
| | | | - Nasim Mahmoodi
- Department of Mechanical Engineering, University of Birmingham, UK
| | - Keith J Roberts
- Department of HPB surgery, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, UK
| | - Nikolaos Chatzizacharias
- Department of HPB surgery, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, UK
| | - Ravi Marudanayagam
- Department of HPB surgery, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, UK
| | - Robert P Sutcliffe
- Department of HPB surgery, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, UK.
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Singh P, Chan K, Dhar S, Krumhuber E, Mosahebi A, Ponniah A. Three-Dimensional Photography and Computer Modeling as a Reconstructive Surgical Training Tool. Aesthet Surg J Open Forum 2023; 5:ojad062. [PMID: 37575889 PMCID: PMC10414136 DOI: 10.1093/asjof/ojad062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023] Open
Abstract
Background Reconstructive surgery operations are often complex, staged, and have a steep learning curve. As a vocational training requiring thorough three-dimensional (3D) understanding of reconstructive techniques, the use of 3D photography and computer modeling can accelerate this learning for surgical trainees. Objectives The authors illustrate the benefits of introducing a streamlined reconstructive pathway that integrates 3D photography and computer modeling, to create a learning database for use by trainees and patients alike, to improve learning and comprehension. Methods A computer database of 3D photographs and associated computer models was developed for 35 patients undergoing reconstructive facial surgery at the Royal Free Hospital, London, UK. This was used as a training and teaching tool for 20 surgical trainees, with an MCQ questionnaire assessing knowledge and a Likert scale questionnaire assessing satisfaction with the understanding of core reconstructive techniques, given before and after teaching sessions. Data were analyzed using the Mann-Whitney U test for trainee knowledge and Wilcoxon rank sum test for trainee satisfaction. Results Trainee (n = 20) knowledge showed a statistically significant improvement, P < .01, as did trainee satisfaction, P < .05, after a teaching session using 3D photography and computer models for facial reconstruction. Conclusions Three-dimensional photography and computer modeling are useful teaching and training tools for reconstructive facial surgery. The authors advocate the implementation of an integrated pathway for patients with facial defects to include 3D photography and computer modeling wherever possible, to develop internal databases for training trainees as well as patients. This algorithm can be extrapolated to other aspects of reconstructive surgery. Level of Evidence 5
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Affiliation(s)
- Prateush Singh
- Corresponding Author: Mr Prateush Singh, University College London Department of Surgery and Interventional Sciences, Plastic Surgery Department, Royal Free Hospital, Pond Street, London NW3 2QG, UK. E-mail:
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Augmented Reality in HBP surgery. Technology at your fingertips. Cir Esp 2023; 101:312-318. [PMID: 36781048 DOI: 10.1016/j.cireng.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 10/30/2022] [Indexed: 02/13/2023]
Abstract
Augmented reality is a technology that opens new possibilities in surgery. We present our experience in a hepatobiliary-pancreatic surgery unit in terms of preoperative planning, intraoperative support and teaching. For surgical planning, we have used 3D CT and MRI reconstructions to evaluate complex cases, which has made the interpretation of the anatomy more precise and the planning of the technique simpler. At an intraoperative level, it provides for remote holographic connection between specialists, the substitution of physical elements for virtual elements, and the use of virtual consultation models and surgical guides. In teaching, new lessons include sharing live video of surgery with the support of virtual elements for a better student understanding. As the experience has been satisfactory, augmented reality could be applied in the future to improve the results of hepatobiliary-pancreatic surgery.
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The Role of Intraoperative Indocyanine Green (ICG) and Preoperative 3-Dimensional (3D) Reconstruction in Laparoscopic Adrenalectomy: A Propensity Score-matched Analysis. Surg Laparosc Endosc Percutan Tech 2022; 32:643-649. [PMID: 36468889 PMCID: PMC9719832 DOI: 10.1097/sle.0000000000001105] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/25/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Laparoscopic adrenalectomy (LA) is considered the "gold standard" treatment of adrenal lesions that are often coincidentally diagnosed during the radiologic workup of other diseases. This study aims to evaluate the intraoperative role of indocyanine green (ICG) fluorescence associated with preoperative 3-dimensional reconstruction (3DR) in laparoscopic adrenalectomy in terms of perioperative outcomes. To our knowledge, this is the first prospective case-controlled report comparing these techniques. MATERIALS AND METHODS All consecutive patients aged≥18 and undergoing laparoscopic transperitoneal adrenalectomy for all adrenal masses from January 1, 2019 to January 31, 2022 were prospectively enrolled. Patients undertaking standard LA and those undergoing preoperative 3D reconstruction and intraoperative ICG fluorescence were matched through a one-on-one propensity score matching analysis (PSM) for age, gender, BMI, CCI score, ASA score, lesion histology, tumor side, and lesion diameter. Differences in operative time, blood loss, intraoperative and postoperative complications, conversion rate, and length of stay were analyzed. RESULTS After propensity score matching analysis, we obtained a cohort of 36 patients divided into 2 groups of 18 patients each. The operative time and intraoperative blood loss were shorter in patients of the 3DR group ( P =0,004 and P =0,004, respectively). There was no difference in terms of length of stay, conversion rate, and intraoperative and postoperative complications between the 2 groups. CONCLUSIONS The use of intraoperative ICG in LA and preoperative planning with 3DR images is a safe and useful addition to surgery. Furthermore, we observed a reduction in terms of operating time and intraoperative blood loss.
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Soriero D, Batistotti P, Malinaric R, Pertile D, Massobrio A, Epis L, Sperotto B, Penza V, Mattos LS, Sartini M, Cristina ML, Nencioni A, Scabini S. Efficacy of High-Resolution Preoperative 3D Reconstructions for Lesion Localization in Oncological Colorectal Surgery—First Pilot Study. Healthcare (Basel) 2022; 10:healthcare10050900. [PMID: 35628036 PMCID: PMC9141148 DOI: 10.3390/healthcare10050900] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/20/2022] [Accepted: 05/11/2022] [Indexed: 02/01/2023] Open
Abstract
When planning an operation, surgeons usually rely on traditional 2D imaging. Moreover, colon neoplastic lesions are not always easy to locate macroscopically, even during surgery. A 3D virtual model may allow surgeons to localize lesions with more precision and to better visualize the anatomy. In this study, we primary analyzed and discussed the clinical impact of using such 3D models in colorectal surgery. This is a monocentric prospective observational pilot study that includes 14 consecutive patients who presented colorectal lesions with indication for surgical therapy. A staging computed tomography (CT)/magnetic resonance imaging (MRI) scan and a colonoscopy were performed on each patient. The information gained from them was provided to obtain a 3D rendering. The 2D images were shown to the surgeon performing the operation, while the 3D reconstructions were shown to a second surgeon. Both of them had to locate the lesion and describe which procedure they would have performed; we then compared their answers with one another and with the intraoperative and histopathological findings. The lesion localizations based on the 3D models were accurate in 100% of cases, in contrast to conventional 2D CT scans, which could not detect the lesion in two patients (in these cases, lesion localization was based on colonoscopy). The 3D model reconstruction allowed an excellent concordance correlation between the estimated and the actual location of the lesion, allowing the surgeon to correctly plan the procedure with excellent results. Larger clinical studies are certainly required.
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Affiliation(s)
- Domenico Soriero
- General and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (D.S.); (R.M.); (D.P.); (A.M.); (L.E.); (B.S.); (S.S.)
| | - Paola Batistotti
- Department of Integrated Surgical and Diagnostic Sciences, University of Genoa, 16132 Genoa, Italy;
| | - Rafaela Malinaric
- General and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (D.S.); (R.M.); (D.P.); (A.M.); (L.E.); (B.S.); (S.S.)
- Urological Clinical Unit, San Martino Hospital, 16132 Genoa, Italy
| | - Davide Pertile
- General and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (D.S.); (R.M.); (D.P.); (A.M.); (L.E.); (B.S.); (S.S.)
| | - Andrea Massobrio
- General and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (D.S.); (R.M.); (D.P.); (A.M.); (L.E.); (B.S.); (S.S.)
| | - Lorenzo Epis
- General and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (D.S.); (R.M.); (D.P.); (A.M.); (L.E.); (B.S.); (S.S.)
| | - Beatrice Sperotto
- General and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (D.S.); (R.M.); (D.P.); (A.M.); (L.E.); (B.S.); (S.S.)
| | - Veronica Penza
- Biomedical Robotics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, 16163 Genoa, Italy; (V.P.); (L.S.M.)
| | - Leonardo S. Mattos
- Biomedical Robotics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, 16163 Genoa, Italy; (V.P.); (L.S.M.)
| | - Marina Sartini
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy
- Operating Unit Hospital Hygiene, Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy
- Correspondence: (M.S.); (M.L.C.)
| | - Maria Luisa Cristina
- Department of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy
- Operating Unit Hospital Hygiene, Galliera Hospital, Mura delle Cappuccine 14, 16128 Genoa, Italy
- Correspondence: (M.S.); (M.L.C.)
| | - Alessio Nencioni
- Section of Geriatrics, Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, 16132 Genoa, Italy;
- Gerontology and Geriatrics, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Stefano Scabini
- General and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (D.S.); (R.M.); (D.P.); (A.M.); (L.E.); (B.S.); (S.S.)
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Corte-Real A, Nunes T, Caetano C, Almiro PA. Cone Beam Computed Tomography (CBCT) Technology and Learning Outcomes in Dental Anatomy Education: E-Learning Approach. ANATOMICAL SCIENCES EDUCATION 2021; 14:711-720. [PMID: 33650773 DOI: 10.1002/ase.2066] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 02/18/2021] [Accepted: 02/24/2021] [Indexed: 06/12/2023]
Abstract
E-learning is an educational method that improves knowledge innovation by sharing relevant images for advanced learning, especially in a pandemic state. Furthermore, cone-beam computed tomography (CBCT) is a method that gathers medical or dental diagnostic images. This study aimed to analyze the effectiveness of dental anatomy education through a CBCT technology tool, through teachers' and students' perspectives, adjusted according to the disruptions caused by the Covid-19 pandemic. A cohort study and longitudinal exploratory analysis were performed. Forty undergraduate first-year dental students, from the University of Coimbra in Portugal, were selected as per the inclusion and exclusion criteria. Two different teaching methods were applied during an identical time-period: face-to-face lectures complemented by physical models (T1 cohort) and webinar lectures complemented by CBCT images (T2 cohort). Learning outcomes were then studied according to theoretical and spatial orientation contexts. A self-reported survey that focused on students' satisfaction, stress, and support was studied. Both teaching methods were analyzed with paired sample student's t-test and Pearson Correlation Confidence intervals 95% with P < 0.05. Furthermore, exploratory factor analysis (EFA) was used for self-reported satisfaction survey validity and reliability analysis. The learning outcomes between T1 and T2 cohorts were statistically significant, (P < 0.001) corresponding to differences with a large effect degree (r > 0.60). Students' satisfaction, as measured on a six-point Likert scale, was positively influenced by the webinar lectures supplemented with CBCT images (T2 cohort) in a learning context (4.95 ± 0.5) and future applications (5.92 ± 0.27). In conclusion, the webinar approach with CBCT images was more effective and better learning method for teaching dental anatomy.
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Affiliation(s)
- Ana Corte-Real
- Disciplines of Forensic Dentistry and Dental Anatomy, Dental School, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Laboratory of Forensic Dentistry, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Tiago Nunes
- Disciplines of Forensic Dentistry and Dental Anatomy, Dental School, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Catarina Caetano
- Disciplines of Forensic Dentistry and Dental Anatomy, Dental School, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Laboratory of Forensic Dentistry, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Pedro A Almiro
- Department of Psychology, Autonomous University of Lisbon, Lisbon, Portugal
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Aseni P, Santaniello T, Rizzetto F, Gentili L, Pezzotta F, Cavaliere F, Vertemati M, Milani P. Hybrid Additive Fabrication of a Transparent Liver with Biosimilar Haptic Response for Preoperative Planning. Diagnostics (Basel) 2021; 11:1734. [PMID: 34574075 PMCID: PMC8471167 DOI: 10.3390/diagnostics11091734] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 12/15/2022] Open
Abstract
Due to the complexity of liver surgery, the interest in 3D printing is constantly increasing among hepatobiliary surgeons. The aim of this study was to produce a patient-specific transparent life-sized liver model with tissue-like haptic properties by combining additive manufacturing and 3D moulding. A multistep pipeline was adopted to obtain accurate 3D printable models. Semiautomatic segmentation and registration of routine medical imaging using 3D Slicer software allowed to obtain digital objects representing the structures of interest (liver parenchyma, vasculo-biliary branching, and intrahepatic lesion). The virtual models were used as the source data for a hybrid fabrication process based on additive manufacturing using soft resins and casting of tissue-mimicking silicone-based blend into 3D moulds. The model of the haptic liver reproduced with high fidelity the vasculo-biliary branching and the relationship with the intrahepatic lesion embedded into the transparent parenchyma. It offered high-quality haptic perception and a remarkable degree of surgical and anatomical information. Our 3D transparent model with haptic properties can help surgeons understand the spatial changes of intrahepatic structures during surgical manoeuvres, optimising preoperative surgical planning.
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Affiliation(s)
- Paolo Aseni
- Department of Emergency, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
- Department of Biomedical and Clinical Sciences “L. Sacco”, Università degli Studi di Milano, Via Giovanni Battista Grassi 74, 20157 Milano, Italy
| | - Tommaso Santaniello
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Francesco Rizzetto
- Department of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162 Milano, Italy;
- Postgraduate School of Diagnostic and Interventional Radiology, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milano, Italy
| | - Lorenzo Gentili
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Federico Pezzotta
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Francesco Cavaliere
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Maurizio Vertemati
- Department of Biomedical and Clinical Sciences “L. Sacco”, Università degli Studi di Milano, Via Giovanni Battista Grassi 74, 20157 Milano, Italy
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
| | - Paolo Milani
- Centro Interdisciplinare Materiali e Interfacce Nanostrutturati (CIMaINa), Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (T.S.); (L.G.); (F.P.); (F.C.)
- Dipartimento di Fisica “A. Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy
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Zanon M, Altmayer S, Watte G, Pacini GS, Mohammed TL, Marchiori E, Pinto Filho DR, Hochhegger B. Three-dimensional virtual planning for nodule resection in solid organs: A systematic review and meta-analysis. Surg Oncol 2021; 38:101598. [PMID: 33962214 DOI: 10.1016/j.suronc.2021.101598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 04/08/2021] [Accepted: 04/26/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To systematically review the effects of 3D-imaging virtual planning for nodule resection in the following solid organs: lung, liver, and kidney. METHODS MEDLINE, EMBASE, and Cochrane Library were searched through September 31, 2020 to include randomized and non-randomized controlled studies that compared outcomes of surgical resection of lung, liver, or kidney nodule resection with and without 3D virtual planning with computed tomography. From each article, the mean operation time (OT), mean estimated blood loss (EBL), mean postoperative hospital stay (POHS), and the number of postoperative events (POE) were extracted. The effect size (ES) of 3D virtual planning vs. non-3D planning was extracted from each study to calculate the pooled measurements for continuous variables (OT, EBL, POHS). Data were pooled using a random-effects model. RESULTS The literature search yielded 2397 studies and 10 met the inclusion criteria with a total of 897 patients. There was a significant difference in OT between groups with a moderate ES favoring the 3D group (ES,-0.56; 95%CI: 0.91,-0.29; I2 = 83.1%; p < .001). Regarding EBL, there was a significant difference between 3D and non-3D with a small ES favoring IGS (ES,-0.18; 95%CI: 0.33,-0.02; I2 = 22.5%; p = .0236). There was no difference between the 3D and non-3D groups for both POHS (POHS ES,-0.15; 95%CI: 0.39,0.10; I2 = 37.0%; p = .174) and POE (POE odds ratio (OR),0.80; 95%CI:0.54,1.19; I2 = 0.0%; p = .0.973). CONCLUSIONS 3D-imaging planning for surgical resection of lung, kidney, and liver nodules could reduce OT and EBL with no effects on immediate POHS and POE. Improvements in these perioperative variables could improve medium and long-term postoperative clinical outcomes.
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Affiliation(s)
- Matheus Zanon
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre - R, Sarmento Leite, 245, Porto Alegre, 90050170, Brazil; Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre - Av, Independência, 75, Porto Alegre, 90020160, Brazil.
| | - Stephan Altmayer
- Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre - Av, Independência, 75, Porto Alegre, 90020160, Brazil; Postgraduate Program in Medicine and Health Sciences, Pontificia Universidade Catolica do Rio Grande do Sul, Av. Ipiranga, 6690, Porto Alegre, 90619900, Brazil.
| | - Guilherme Watte
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre - R, Sarmento Leite, 245, Porto Alegre, 90050170, Brazil; Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre - Av, Independência, 75, Porto Alegre, 90020160, Brazil; Postgraduate Program in Medicine and Health Sciences, Pontificia Universidade Catolica do Rio Grande do Sul, Av. Ipiranga, 6690, Porto Alegre, 90619900, Brazil.
| | - Gabriel Sartori Pacini
- Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre - Av, Independência, 75, Porto Alegre, 90020160, Brazil.
| | - Tan-Lucien Mohammed
- Department of Radiology, College of Medicine, University of Florida, 1600 SW Archer Rd m509, Gainesville, FL, 32610, United States.
| | - Edson Marchiori
- Department of Radiology, Federal University of Rio de Janeiro - Av, Carlos Chagas Filho, 373, Rio de Janeiro, 21941902, Brazil.
| | - Darcy Ribeiro Pinto Filho
- Department of Thoracic Surgery, University of Caxias do Sul, R. Francisco Getúlio Vargas, 1130, Caxias do Sul, 95070561, Brazil.
| | - Bruno Hochhegger
- Graduate Program in Pathology, Federal University of Health Sciences of Porto Alegre - R, Sarmento Leite, 245, Porto Alegre, 90050170, Brazil; Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre - Av, Independência, 75, Porto Alegre, 90020160, Brazil; Postgraduate Program in Medicine and Health Sciences, Pontificia Universidade Catolica do Rio Grande do Sul, Av. Ipiranga, 6690, Porto Alegre, 90619900, Brazil.
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