Surgical Innovation最新文献

{"title":"Upper Aerodigestive Tract Endoscopy Combining Rigid Laryngoscopy and Flexible Endoscopy.","authors":"Antoine Dubray-Vautrin, Christian Chappey, Rabah Taouachi, Wahib Ghanem, Olivier Choussy","doi":"10.1177/15533506241238870","DOIUrl":"10.1177/15533506241238870","url":null,"abstract":"<p><p>Upper Aerodigestive Tract Endoscopy (UATE) is recommended for initial examination of head and neck squamous cell carcinomas. Reducing delay of initial examination must be a challenge to manage head and neck cancers. We hereby describe the technic combining UATE and flexible endoscopy in a unique general anesthesia with overview of hypopharyngeal, larygeal, tracheal, esophageal, nasopharyngeal sub sites in a unique procedure with system of magnificense and to perform percutaneous gastrostomy during the same time before initiation of therapy.</p>","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":" ","pages":"229-232"},"PeriodicalIF":1.5,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140050376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Method to Reduce Tension Differences in Pull/Push Manipulation for a Robot in Fluorescence Emission-Guided Surgical Microscopy","authors":"Sangyun Lee, Kicheol Yoon, Won-Suk Lee, Kwang Gi Kim","doi":"10.1177/15533506241240863","DOIUrl":"https://doi.org/10.1177/15533506241240863","url":null,"abstract":"MotivationA fluorescence emission-guided microscope used to monitor the outcome of cancer removal surgery is highly effective when employing a manipulator to motorize and switch the observation direction. It is necessary to minimize the alignment of looper tension between the stands for pull/push to change the direction of the manipulator and reduce the error rate caused by tension differences. This paper presents a method to minimize the error rate of looper tension between the stands.MethodsThe looper is inserted between the stands of the manipulator to minimize the difference in tension and make the stress on the pull and push of the looper constant. The constant stress allows the manipulator to move stably in left/right, up/down, and left/right movements, which will be effective for full-camera observation and close-up shots of the end effector.ResultsReducing the tolerance for differences in the manipulator’s looper tension (angle and tension) is crucial. When the input value of the looper tension angle is 50°, the output should closely match 50°. Consequently, the measured response has a tolerance of ±49.98%, resulting in an error rate of .02% (1/50th level).ConclusionA method is proposed to minimize the error rate of the manipulator’s looper tension in a robot-based fluorescence emission-guided microscope used to observe the status of cancer surgery. As a result, a stable manipulator with a minimal error rate can achieve a 3.986x magnification for close-up observation by switching between high and low orientations.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"155 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140834503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Artificial Intelligence in Medical Education: A Systematic Review","authors":"Atinc Tozsin, Harun Ucmak, Selim Soyturk, Abdullatif Aydin, Ali Serdar Gozen, Maha Al Fahim, Selcuk Güven, Kamran Ahmed","doi":"10.1177/15533506241248239","DOIUrl":"https://doi.org/10.1177/15533506241248239","url":null,"abstract":"BackgroundTo examine the artificial intelligence (AI) tools currently being studied in modern medical education, and critically evaluate the level of validation and the quality of evidence presented in each individual study.MethodsThis review (PROSPERO ID: CRD42023410752) was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. A database search was conducted using PubMed, Embase, and Cochrane Library. Articles written in the English language between 2000 and March 2023 were reviewed retrospectively using the MeSH Terms “AI” and “medical education” A total of 4642 potentially relevant studies were found.ResultsAfter a thorough screening process, 36 studies were included in the final analysis. These studies consisted of 26 quantitative studies and 10 studies investigated the development and validation of AI tools. When examining the results of studies in which Support vector machines (SVMs) were employed, it has demonstrated high accuracy in assessing students’ experiences, diagnosing acute abdominal pain, classifying skilled and novice participants, and evaluating surgical training levels. Particularly in the comparison of surgical skill levels, it has achieved an accuracy rate of over 92%.ConclusionAI tools demonstrated effectiveness in improving practical skills, diagnosing diseases, and evaluating student performance. However, further research with rigorous validation is required to identify the most effective AI tools for medical education.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"16 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140625414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Intermittent Intraoperative Neuromonitoring (IONM) on the Learning Curve for Total Thyroidectomy by Residents in General Surgery","authors":"Alessia Fassari, Alessandra Micalizzi, Giulio Lelli, Angela Gurrado, Andrea Polistena, Angelo Iossa, Francesco De Angelis, Lorenzo Martini, Giovanni Traumuller Tamagnini, Mario Testini, Giuseppe Cavallaro","doi":"10.1177/15533506241248974","DOIUrl":"https://doi.org/10.1177/15533506241248974","url":null,"abstract":"IntroductionRecurrent laryngeal nerve (RNL) identification constitutes the standard in thyroidectomy. Intraoperative nerve monitoring (IONM) has been introduced as a complementary tool for RLN functionality evaluation. The aim of this study is to establish how routine use of IONM can affect the learning curve (LC) in thyroidectomy.MethodsPatients undergoing total thyroidectomy performed by surgery residents in their learning curve course in 2 academic hospitals, were divided into 2 groups: Group A, including 150 thyroidectomies performed without IONM by 3 different residents, and Group B, including 150 procedures with routine use of intermittent IONM, by other 3 different residents. LC was measured by comparing operative time (OT), its stabilization during the development of the LC, perioperative complication rate.ResultsAs previously demonstrated, the LC was achieved after 30 procedures, in both groups, with no differences due to the use of IONM. Similarly, there were no significant differences among the 2 groups, and between subgroups independently matched, for both OT and complications, even when comparing RLN palsy. Direct nerve visualization and IONM assessment rates were comparable in all groups, and no bilateral RLN palsy (transient or permanent) were reported. No case of interrupted procedure to unilateral lobectomy, due to evidence of RLN injury, was reported.ConclusionsThe study demonstrates that the use of IONM thyroid surgery, despite requiring a specific training with experienced surgeons, does not particularly affect the learning curve of residents approaching this kind of surgery, and for this reason its routine use should be encouraged even for trainees.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"207 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140629780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring Small Bowel Length in Bariatric Surgery: An Ex Vivo Laparoscopic Training Experiment","authors":"Mirjam A. Kaijser, Nienke Slagter, Loek J.M. de Heide, André P. van Beek, Jean-Pierre E.N. Pierie, Marloes Emous","doi":"10.1177/15533506241244854","DOIUrl":"https://doi.org/10.1177/15533506241244854","url":null,"abstract":"IntroductionDetermining limb length in gastric bypass procedures is a crucial step to ensure significant weight loss without risking malnutrition. This study investigated the effect of ex vivo training on the skills needed to determine limb lengths.Materials and MethodsThis was a single-center ex vivo training experiment in a teaching hospital in the Netherlands. We designed a training exercise with marked ropes in a laparoscopic trainer box. All ten surgical residents participated and practiced the skill of estimating limb length. Before and after the two-week period their results on a 150-centimeter limb length task were evaluated.ResultsBefore training, 10 surgical residents estimated 150 centimeters of small bowel with an absolute deviation of 21% [range 9-30]. After the training experiment, the residents measured with 8% [2-20] deviation ( P = .17). The 8 residents who trained sufficiently improved statistically significantly to an absolute deviation of 5% [2-17] ( P = .012). Over 70% of the participants felt their skills had improved.ConclusionsWith sufficient training, surgical residents’ skills in measuring small bowel length improved when tested in an ex vivo model. Residents became more confident in their laparoscopic measurement skills. This ex vivo training model is a alternative and addition to on-site training.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"5 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140612268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tumor Segmentation in Intraoperative Fluorescence Images Based on Transfer Learning and Convolutional Neural Networks","authors":"Weijia Hou, Liwen Zou, Dong Wang","doi":"10.1177/15533506241246576","DOIUrl":"https://doi.org/10.1177/15533506241246576","url":null,"abstract":"ObjectiveTo propose a transfer learning based method of tumor segmentation in intraoperative fluorescence images, which will assist surgeons to efficiently and accurately identify the boundary of tumors of interest.MethodsWe employed transfer learning and deep convolutional neural networks (DCNNs) for tumor segmentation. Specifically, we first pre-trained four networks on the ImageNet dataset to extract low-level features. Subsequently, we fine-tuned these networks on two fluorescence image datasets (ABFM and DTHP) separately to enhance the segmentation performance of fluorescence images. Finally, we tested the trained models on the DTHL dataset. The performance of this approach was compared and evaluated against DCNNs trained end-to-end and the traditional level-set method.ResultsThe transfer learning-based UNet++ model achieved high segmentation accuracies of 82.17% on the ABFM dataset, 95.61% on the DTHP dataset, and 85.49% on the DTHL test set. For the DTHP dataset, the pre-trained Deeplab v3 + network performed exceptionally well, with a segmentation accuracy of 96.48%. Furthermore, all models achieved segmentation accuracies of over 90% when dealing with the DTHP dataset.ConclusionTo the best of our knowledge, this study explores tumor segmentation on intraoperative fluorescent images for the first time. The results show that compared to traditional methods, deep learning has significant advantages in improving segmentation performance. Transfer learning enables deep learning models to perform better on small-sample fluorescence image data compared to end-to-end training. This discovery provides strong support for surgeons to obtain more reliable and accurate image segmentation results during surgery.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"6 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140575092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reconstruction Strategy for Upper Extremity Defects After Bone Tumor Resection Based on 3D Customized Bone Cement Mold","authors":"Song Ke, Bokai Zhang, Yongqin He, Yuanyuan Zhou, Xu Hu, Yubo Fan, Min Wang, Yuan Zhang, Chao Wang","doi":"10.1177/15533506241244493","DOIUrl":"https://doi.org/10.1177/15533506241244493","url":null,"abstract":"BackgroundReconstructing bone defects in the upper extremities and restoring their functions poses a significant challenge. In this study, we describe a novel workflow for designing and manufacturing customized bone cement molds using 3D printing technology to reconstruct upper extremity defects after bone tumor resection.MethodsComputer tomography data was acquired from the unaffected upper extremities to create a detachable mold, which can be customized to fit the joint precisely by shaping the bone cement accordingly. Fourteen patients who underwent reconstructive surgery following bone tumor resection in the proximal humerus (13 cases) or distal radius (1 case) between January 2014 and December 2022 were retrospectively evaluated. The medical records of this case series were reviewed for the demographic, radiological, and operative data. Metastasis, local recurrence, and complication were also reviewed. Additionally, Musculoskeletal Tumor Society Score (MSTS) and Visual Analogue Scale (VAS) were used to assess clinical outcomes.ResultsThe mean follow-up period was 49.36 ± 15.18 months (range, 27-82 months). At the end of follow-up, there were no cases of metastasis or recurrence, and patients did not experience complications such as infection, dislocation, or implant loosening. Two cases complicated with subluxation (14.3%), and 1 case underwent revision surgery for prosthetic fracture (7.1%). The average MSTS score was 23.2 ± 1.76 (77.4%, range, 66.7%-86.7%), and the postoperative VAS score was 1.86 ± 1.03 (range, 1-4), which was significantly lower than that before surgery (average preoperative VAS score was 5.21 ± 2.00 (range, 2-8)) ( P &lt; .001).ConclusionCustomized 3D molds can be utilized to shape bone cement prostheses, which may serve as a potential alternative for reconstructing the proximal humerus and distal radius following en bloc resection of bone tumors. This reconstruction strategy offers apparent advantages, including precise matching of articular surfaces and comparatively reduced costs.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"16 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140575318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Test-Only Learning via Virtual Patients to Improve Surgical Illness Scripts of Preclinical Medical Students as a Preparation for Clinical Clerkships: An Experimental Study","authors":"Yavuz Selim Kıyak, Işıl İrem Budakoğlu, Özlem Coşkun","doi":"10.1177/15533506241246333","DOIUrl":"https://doi.org/10.1177/15533506241246333","url":null,"abstract":"ObjectiveThe aim was to determine whether preclinical medical students can develop their illness scripts to a level comparable to that of clerkship students through test-only learning using repeated formative online testlets.MethodsIn this experimental study, participants were 52 preclinical and 53 clinical medical students. The intervention group consisted of preclinical medical students, and the control group consisted of clinical medical students. The intervention group responded to online testlets containing feedback, an innovative formative assessment method called ContExtended Questions, on general surgery for 8 days by spending no more than 30 minutes each day. The control group completed the general surgery clerkship. The performances were assessed using 20 Key-Feature Question items. The intervention group was assessed twice: immediately after the intervention (the immediate test), and again 1 month later (the delayed test). The control group was assessed once, immediately after the clerkship. All performance tests were identical.ResultsThe preclinical students had a significantly higher mean score on the immediate test (83.1 ± 9.6) compared to the clinical students (75.4 ± 8.9), P &lt; .001. The effect size (Cohen’s d) was .83. However, the mean score in the delayed test (76.9 ± 13.6) was not significantly different from clinical students’ mean score (75.4 ± 8.9), P &gt; .05.ConclusionsTest-only learning as a spaced repetition of online formative testlets is effective in preparing preclinical medical students to the clinical clerkship. Through using this approach in preclinical period, they can prepare themselves for the clinical environment to optimize the benefits derived from clerkships.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"43 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the Efficacy and Safety of Pedicled Perforator Flap Technique for Salvage Nipple Reconstruction in Breast Cancer Patients: A Pilot Study","authors":"Shuanglong Chen, Qingmo Yang, Shaoluan Zheng, Chenxi Chen, Lujuan Gao, Jiaqi Liu","doi":"10.1177/15533506241242906","DOIUrl":"https://doi.org/10.1177/15533506241242906","url":null,"abstract":"ObjectiveWe propose a pedicled perforator flap technique for salvage nipple reconstruction after initial nipple reconstruction fails in breast cancer patients.MethodsThis is a pilot study. A total of 21 female breast cancer patients who underwent nipple reconstruction following initial nipple reconstruction fails were enrolled, and salvage nipple reconstruction based pedicled perforator flap were performed between 2016 and 2020. Operative time, perforator design, postoperative complications, follow-up duration, projection of nipple, as well as patient-reported outcomes measured by the BREAST-Q and visual analogue scale (VAS) were assessed.ResultsSixteen patients underwent fifth lateral intercostal artery perforator reconstruction, while 5 patients underwent fifth anterior intercostal artery perforator flap reconstruction. The surgeries were successful without intraoperative complications, with a mean operative time of 67 minutes. Postoperative complications were absent. The mean follow-up duration was 18 months. The mean nipple projection was 8 mm (range, 6-10 mm) with a shrinkage of 20% at 6 months after surgery. The average scores for psychosocial well-being, satisfaction with breasts, and satisfaction with nipples domains of the BREAST-Q significantly increased ( P &lt; .01) at 6 months post-reconstruction. Sexual well-being subdomain showed no statistical difference ( P = .9369). The VAS scores for cosmesis and patient satisfaction with surgery were 9 and 9.3, respectively.ConclusionThe pedicled perforator flap technique for salvage nipple reconstruction is a safe and effective approach.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"49 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140602958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transcatheter Aortic Valve Replacement and Coronary Protection Guided by Deep Learning and 3-Dimensional Printing","authors":"Yu Mao, Guangyu Zhu, Mengen Zhai, Yanyan Ma, Lanlan Li, Ping Jin, Yang Liu, Jian Yang","doi":"10.1177/15533506241244571","DOIUrl":"https://doi.org/10.1177/15533506241244571","url":null,"abstract":"ObjectiveIn this case report, the auxiliary role of deep learning and 3-dimensional printing technology in the perioperative period was discussed to guide transcatheter aortic valve replacement and coronary stent implantation simultaneously.Case presentationA 68-year-old man had shortness of breath and chest tightness, accompanied by paroxysmal nocturnal dyspnea, 2 weeks before presenting at our hospital. Echocardiography results obtained in the outpatient department showed severe aortic stenosis combined with regurgitation and pleural effusion. The patient was first treated with closed thoracic drainage. After 800 mL of pleural effusion was collected, the patient’s symptoms were relieved and he was admitted to the hospital. Preoperative transthoracic echocardiography showed severe bicuspid aortic valve stenosis combined with calcification and aortic regurgitation (mean pressure gradient, 42 mmHg). Preoperative computed tomography results showed a type I bicuspid aortic valve with severe eccentric calcification. The leaflet could be seen from the left coronary artery plane, which indicated an extremely high possibility of coronary obstruction. After preoperative imaging assessment, deep learning and 3-dimensional printing technology were used for evaluation and simulation. Guided transcatheter aortic valve replacement and a coronary stent implant were completed successfully. Postoperative digital subtraction angiography showed that the bioprosthesis and the chimney coronary stent were in ideal positions. Transesophageal echocardiography showed normal morphology without paravalvular regurgitation.ConclusionThe perioperative guidance of deep learning and 3-dimensional printing are of great help for surgical strategy formulation in patients with severe bicuspid aortic valve stenosis with calcification and high-risk coronary obstruction.","PeriodicalId":22095,"journal":{"name":"Surgical Innovation","volume":"68 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140574784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}