keyword
https://read.qxmd.com/read/38530715/instrument-tissue-interaction-detection-framework-for-surgical-video-understanding
#1
JOURNAL ARTICLE
Wenjun Lin, Yan Hu, Huazhu Fu, Mingming Yang, Chin-Boon Chng, Ryo Kawasaki, Cheekong Chui, Jiang Liu
Instrument-tissue interaction detection task, which helps understand surgical activities, is vital for constructing computer-assisted surgery systems but with many challenges. Firstly, most models represent instrument-tissue interaction in a coarse-grained way which only focuses on classification and lacks the ability to automatically detect instruments and tissues. Secondly, existing works do not fully consider relations between intra-and inter-frame of instruments and tissues. In the paper, we propose to represent instrument-tissue interaction as ⟨instrument class, instrument bounding box, tissue class, tissue bounding box, action class⟩ quintuple and present an Instrument-Tissue Interaction Detection Network (ITIDNet) to detect the quintuple for surgery videos understanding...
March 26, 2024: IEEE Transactions on Medical Imaging
https://read.qxmd.com/read/38528306/pitsurgrt-real-time-localization-of-critical-anatomical-structures-in-endoscopic-pituitary-surgery
#2
JOURNAL ARTICLE
Zhehua Mao, Adrito Das, Mobarakol Islam, Danyal Z Khan, Simon C Williams, John G Hanrahan, Anouk Borg, Neil L Dorward, Matthew J Clarkson, Danail Stoyanov, Hani J Marcus, Sophia Bano
PURPOSE: Endoscopic pituitary surgery entails navigating through the nasal cavity and sphenoid sinus to access the sella using an endoscope. This procedure is intricate due to the proximity of crucial anatomical structures (e.g. carotid arteries and optic nerves) to pituitary tumours, and any unintended damage can lead to severe complications including blindness and death. Intraoperative guidance during this surgery could support improved localization of the critical structures leading to reducing the risk of complications...
March 25, 2024: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/38527961/advances-in-hernia-care-state-of-the-art
#3
JOURNAL ARTICLE
William W Hope
The field of hernia surgery has seen many recent advances and continues to evolve. Care of the hernia patient begins preoperatively by ensuring adequate preparation for surgery with surgeons now having the opportunity to accurately predict risk which can aid with informed consent. Imaging studies can now help surgeons diagnose and plan hernia surgery on an individual level based on hernia characteristics as well as abdominal wall musculature. In the operating room, new technology and surgical techniques have allowed surgeons to become increasingly sophisticated with goals of reducing tension on midline closures, utilizing minimally invasive and robotic techniques, and availability of new and varied mesh prosthetics...
March 25, 2024: American Surgeon
https://read.qxmd.com/read/38526613/aixsuture-vision-based-assessment-of-open-suturing-skills
#4
JOURNAL ARTICLE
Hanna Hoffmann, Isabel Funke, Philipp Peters, Danush Kumar Venkatesh, Jan Egger, Dominik Rivoir, Rainer Röhrig, Frank Hölzle, Sebastian Bodenstedt, Marie-Christin Willemer, Stefanie Speidel, Behrus Puladi
PURPOSE: Efficient and precise surgical skills are essential in ensuring positive patient outcomes. By continuously providing real-time, data driven, and objective evaluation of surgical performance, automated skill assessment has the potential to greatly improve surgical skill training. Whereas machine learning-based surgical skill assessment is gaining traction for minimally invasive techniques, this cannot be said for open surgery skills. Open surgery generally has more degrees of freedom when compared to minimally invasive surgery, making it more difficult to interpret...
March 25, 2024: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/38526505/urological-surgical-robot-in-china-state-of-the-art-and-future-prospect
#5
JOURNAL ARTICLE
Aimin Jiang, Ying Liu, Chen Cai, Peng Luo, Linhui Wang
No abstract text is available yet for this article.
March 25, 2024: International Journal of Surgery
https://read.qxmd.com/read/38525292/cmnet-deep-learning-model-for-colon-polyp-segmentation-based-on-dual-branch-structure
#6
JOURNAL ARTICLE
Xuguang Cao, Kefeng Fan, Cun Xu, Huilin Ma, Kaijie Jiao
PURPOSE: Colon cancer is one of the top three diseases in gastrointestinal cancers, and colon polyps are an important trigger of colon cancer. Early diagnosis and removal of colon polyps can avoid the incidence of colon cancer. Currently, colon polyp removal surgery is mainly based on artificial-intelligence (AI) colonoscopy, supplemented by deep-learning technology to help doctors remove colon polyps. With the development of deep learning, the use of advanced AI technology to assist in medical diagnosis has become mainstream and can maximize the doctor's diagnostic time and help doctors to better formulate medical plans...
March 2024: Journal of Medical Imaging
https://read.qxmd.com/read/38512588/sf-tmn-slowfast-temporal-modeling-network-for-surgical-phase-recognition
#7
JOURNAL ARTICLE
Bokai Zhang, Mohammad Hasan Sarhan, Bharti Goel, Svetlana Petculescu, Amer Ghanem
PURPOSE: Automatic surgical phase recognition is crucial for video-based assessment systems in surgical education. Utilizing temporal information is crucial for surgical phase recognition; hence, various recent approaches extract frame-level features to conduct full video temporal modeling. METHODS: For better temporal modeling, we propose SlowFast temporal modeling network (SF-TMN) for offline surgical phase recognition that can achieve not only frame-level full video temporal modeling but also segment-level full video temporal modeling...
March 21, 2024: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/38510994/uncovering-heterogeneity-in-alzheimer-s-disease-from-graphical-modeling-of-the-tau-spatiotemporal-topography
#8
JOURNAL ARTICLE
Jiaxin Yue, Yonggang Shi
Growing evidence from post-mortem and in vivo studies have demonstrated the substantial variability of tau pathology spreading patterns in Alzheimer's disease(AD). Automated tools for characterizing the heterogeneity of tau pathology will enable a more accurate understanding of the disease and help the development of targeted treatment. In this paper, we propose a Reeb graph representation of tau pathology topography on cortical surfaces using tau PET imaging data. By comparing the spatial and temporal coherence of the Reeb graph representation across subjects, we can build a directed graph to represent the distribution of tau topography over a population, which naturally facilitates the discovery of spatiotemporal subtypes of tau pathology with graph-based clustering...
October 2023: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://read.qxmd.com/read/38510599/current-state-of-the-art-of-traditional-and-minimal-invasive-epilepsy-surgery-approaches
#9
REVIEW
Fabian Winter, Marie T Krueger, Daniel Delev, Tom Theys, Dirk Mp Van Roost, Kostas Fountas, Olaf E M G Schijns, Karl Roessler
INTRODUCTION: Open resective surgery remains the main treatment modality for refractory epilepsy, but is often considered a last resort option due to its invasiveness. RESEARCH QUESTION: This manuscript aims to provide an overview on traditional as well as minimally invasive surgical approaches in modern state of the art epilepsy surgery. MATERIALS AND METHODS: This narrative review addresses both historical and contemporary as well as minimal invasive surgical approaches in epilepsy surgery...
2024: Brain Spine
https://read.qxmd.com/read/38503943/near-real-time-mueller-polarimetric-image-processing-for-neurosurgical-intervention
#10
JOURNAL ARTICLE
Stefano Moriconi, Omar Rodríguez-Núñez, Romain Gros, Leonard A Felger, Theoni Maragkou, Ekkehard Hewer, Angelo Pierangelo, Tatiana Novikova, Philippe Schucht, Richard McKinley
PURPOSE: Wide-field imaging Mueller polarimetry is a revolutionary, label-free, and non-invasive modality for computer-aided intervention; in neurosurgery, it aims to provide visual feedback of white matter fibre bundle orientation from derived parameters. Conventionally, robust polarimetric parameters are estimated after averaging multiple measurements of intensity for each pair of probing and detected polarised light. Long multi-shot averaging, however, is not compatible with real-time in vivo imaging, and the current performance of polarimetric data processing hinders the translation to clinical practice...
March 19, 2024: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/38500803/shape-aware-3d-small-vessel-segmentation-with-local-contrast-guided-attention
#11
JOURNAL ARTICLE
Zhiwei Deng, Songnan Xu, Jianwei Zhang, Jiong Zhang, Danny J Wang, Lirong Yan, Yonggang Shi
The automated segmentation and analysis of small vessels from in vivo imaging data is an important task for many clinical applications. While current filtering and learning methods have achieved good performance on the segmentation of large vessels, they are sub-optimal for small vessel detection due to their apparent geometric irregularity and weak contrast given the relatively limited resolution of existing imaging techniques. In addition, for supervised learning approaches, the acquisition of accurate pixel-wise annotations in these small vascular regions heavily relies on skilled experts...
October 2023: Medical Image Computing and Computer-assisted Intervention: MICCAI ..
https://read.qxmd.com/read/38499664/responsive-deep-brain-stimulation-for-the-treatment-of-tourette-syndrome
#12
JOURNAL ARTICLE
Michael S Okun, Jackson Cagle, Julieth Gomez, Dawn Bowers, Joshua Wong, Kelly D Foote, Aysegul Gunduz
To report the results of 'responsive' deep brain stimulation (DBS) for Tourette syndrome (TS) in a National Institutes of Health funded experimental cohort. The use of 'brain derived physiology' as a method to trigger DBS devices to deliver trains of electrical stimulation is a proposed approach to address the paroxysmal motor and vocal tic symptoms which appear as part of TS. Ten subjects underwent bilateral staged DBS surgery and each was implanted with bilateral centromedian thalamic (CM) region DBS leads and bilateral M1 region cortical strips...
March 18, 2024: Scientific Reports
https://read.qxmd.com/read/38498843/contemporary-assessment-of-adhesiolysis-and-resection-for-adhesive-small-bowel-obstruction-in-the-state-of-new-york
#13
JOURNAL ARTICLE
Matthew M Symer, Xinyan Zheng, Bradley B Pua, Art Sedrakyan, Jeffrey W Milsom
BACKGROUND: Adhesive small bowel obstruction (aSBO) is a common surgical problem, with some advocating for a more aggressive operative approach to avoid recurrence. Contemporary outcomes in a real-world setting were examined. STUDY DESIGN: A retrospective cohort study was performed using the New York Statewide Planning and Research Cooperative database to identify adults admitted with aSBO, 2016-2020. Patients were stratified by the presence of inflammatory bowel disease (IBD) and cancer history...
March 18, 2024: Surgical Innovation
https://read.qxmd.com/read/38491244/pele-scores-pelvic-x-ray-landmark-detection-with-pelvis-extraction-and-enhancement
#14
JOURNAL ARTICLE
Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S Kevin Zhou
PURPOSE: Pelvic X-ray (PXR) is widely utilized in clinical decision-making associated with the pelvis, the lower part of the trunk that supports and balances the trunk. In particular, PXR-based landmark detection facilitates downstream analysis and computer-assisted diagnosis and treatment of pelvic diseases. Although PXR has the advantages of low radiation and reduced cost compared to computed tomography (CT), it characterizes the 2D pelvis-tissue superposition of 3D structures, which may affect the accuracy of landmark detection in some cases...
March 15, 2024: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/38488612/state-of-the-art-review-upper-extremity-revision-nerve-compression-surgery
#15
REVIEW
E P A Van Der Heijden, Z H Dailiana, H P Giele
Although surgical release of upper extremity nerve compression syndromes is highly effective, persistence or recurrence of symptoms and signs may occur. Thorough investigation is necessary in this situation before treatment is recommended. If the symptoms cannot be explained by other pathology than compression of the affected nerve and if conservative management has not provided improvement, reoperation may be considered. This review provides an overview of the diagnostic and surgical considerations in the revision of carpal tunnel syndrome, cubital tunnel syndrome and thoracic outlet syndrome...
March 15, 2024: Journal of Hand Surgery, European Volume
https://read.qxmd.com/read/38483943/statistical-segmentation-model-for-accurate-electrode-positioning-in-parkinson-s-deep-brain-stimulation-based-on-clinical-low-resolution-image-data-and-electrophysiology
#16
JOURNAL ARTICLE
Igor Varga, Eduard Bakstein, Greydon Gilmore, Jaromir May, Daniel Novak
BACKGROUND: Deep Brain Stimulation (DBS), applying chronic electrical stimulation of subcortical structures, is a clinical intervention applied in major neurologic disorders. In order to achieve a good clinical effect, accurate electrode placement is necessary. The primary localisation is typically based on presurgical MRI imaging, often followed by intra-operative electrophysiology recording to increase the accuracy and to compensate for brain shift, especially in cases where the surgical target is small, and there is low contrast: e...
2024: PloS One
https://read.qxmd.com/read/38483702/test-time-augmentation-with-synthetic-data-addresses-distribution-shifts-in-spectral-imaging
#17
JOURNAL ARTICLE
Ahmad Bin Qasim, Alessandro Motta, Alexander Studier-Fischer, Jan Sellner, Leonardo Ayala, Marco Hübner, Marc Bressan, Berkin Özdemir, Karl Friedrich Kowalewski, Felix Nickel, Silvia Seidlitz, Lena Maier-Hein
PURPOSE: Surgical scene segmentation is crucial for providing context-aware surgical assistance. Recent studies highlight the significant advantages of hyperspectral imaging (HSI) over traditional RGB data in enhancing segmentation performance. Nevertheless, the current hyperspectral imaging (HSI) datasets remain limited and do not capture the full range of tissue variations encountered clinically. METHODS: Based on a total of 615 hyperspectral images from a total of 16 pigs, featuring porcine organs in different perfusion states, we carry out an exploration of distribution shifts in spectral imaging caused by perfusion alterations...
March 14, 2024: International Journal of Computer Assisted Radiology and Surgery
https://read.qxmd.com/read/38479152/long-short-diffeomorphism-memory-network-for-weakly-supervised-ultrasound-landmark-tracking
#18
JOURNAL ARTICLE
Zhihua Liu, Bin Yang, Yan Shen, Xuejun Ni, Sotirios A Tsaftaris, Huiyu Zhou
Ultrasound is a promising medical imaging modality benefiting from low-cost and real-time acquisition. Accurate tracking of an anatomical landmark has been of high interest for various clinical workflows such as minimally invasive surgery and ultrasound-guided radiation therapy. However, tracking an anatomical landmark accurately in ultrasound video is very challenging, due to landmark deformation, visual ambiguity and partial observation. In this paper, we propose a long-short diffeomorphism memory network (LSDM), which is a multi-task framework with an auxiliary learnable deformation prior to supporting accurate landmark tracking...
March 11, 2024: Medical Image Analysis
https://read.qxmd.com/read/38472633/artificial-intelligence-in-the-diagnosis-and-treatment-of-acute-appendicitis-a-narrative-review
#19
REVIEW
Valentina Bianchi, Mauro Giambusso, Alessandra De Iacob, Maria Michela Chiarello, Giuseppe Brisinda
Artificial intelligence is transforming healthcare. Artificial intelligence can improve patient care by analyzing large amounts of data to help make more informed decisions regarding treatments and enhance medical research through analyzing and interpreting data from clinical trials and research projects to identify subtle but meaningful trends beyond ordinary perception. Artificial intelligence refers to the simulation of human intelligence in computers, where systems of artificial intelligence can perform tasks that require human-like intelligence like speech recognition, visual perception, pattern-recognition, decision-making, and language processing...
March 12, 2024: Updates in Surgery
https://read.qxmd.com/read/38472287/identification-and-interpretation-of-gait-analysis-features-and-foot-conditions-by-explainable-ai
#20
JOURNAL ARTICLE
Mustafa Erkam Özateş, Alper Yaman, Firooz Salami, Sarah Campos, Sebastian I Wolf, Urs Schneider
Clinical gait analysis is a crucial step for identifying foot disorders and planning surgery. Automating this process is essential for efficiently assessing the substantial amount of gait data. In this study, we explored the potential of state-of-the-art machine learning (ML) and explainable artificial intelligence (XAI) algorithms to automate all various steps involved in gait analysis for six specific foot conditions. To address the complexity of gait data, we manually created new features, followed by recursive feature elimination using Support Vector Machines (SVM) and Random Forests (RF) to eliminate low-variance features...
March 12, 2024: Scientific Reports
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