Article
Multidisciplinary Sciences
Ryder M. Schmidt, Rodrigo Delgadillo, John C. Ford, Kyle R. Padgett, Matthew Studenski, Matthew C. Abramowitz, Benjamin Spieler, Yihang Xu, Fei Yang, Nesrin Dogan
Summary: This study quantitatively assessed the accuracy of a commercially available deformable image registration (DIR) algorithm in generating prostate contours, showing high consistency between auto-generated and manually drawn contours, as well as good robustness of radiomic features to differing contours. The majority of DIRs were within recommended tolerance, indicating promising potential for auto contour usage in radiomic feature analysis.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Biomedical
Zehor Belkhatir, Raul San Jose Estepar, Allen R. Tannenbaum
Summary: The emerging field of radiomics aims to reveal hidden information in standard-of-care images by transforming them into quantifiable statistical data. This study proposes a novel pipeline that uses the Wasserstein metric to deal with spatial texture features in radiomic studies and incorporates them into a supervised image classification pipeline using support vector machine algorithm and Bayesian optimization. The proposed technique shows great potential in classifying COVID-19 CT images and provides MATLAB code for further use.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2022)
Article
Neurosciences
Hengcheng Zhu, Ziyi Huang, Yifeixue Yang, Kaiqiang Su, Mingxia Fan, Yong Zou, Ting Li, Dazhi Yin
Summary: Emerging evidence suggests that activity flow over resting-state network topology can predict task activations. In this study, the authors propose a probabilistic functional connectivity (FC) estimation derived from a dynamic framework as a new activity flow route. They test the activity flow mapping using between- and within-network connections and tight task contrasts. The results show that probabilistic FC routes substantially improve individual-level activity flow prediction, particularly in higher-order cognitive control systems. The study also demonstrates divergent influences of connectional topology and task contrasts on activity flow prediction across brain systems with different functional hierarchies.
HUMAN BRAIN MAPPING
(2023)
Article
Chemistry, Multidisciplinary
Joao Santinha, Linda Bianchini, Mario Figueiredo, Celso Matos, Alessandro Lascialfari, Nikolaos Papanikolaou, Marta Cremonesi, Barbara A. Jereczek-Fossa, Francesca Botta, Daniela Origgi
Summary: This study investigates the ability of MRI radiomic features to discriminate different image textures under different volumes of analysis regions. The results indicate that a too-small volume can impair the discriminative ability of radiomic features. Additionally, the study proposes a methodology that can be applied to other imaging modalities and clinical scenarios. This is important for the design of MRI radiomic studies and the extraction of quantitative biomarkers for clinical diagnosis and treatment.
APPLIED SCIENCES-BASEL
(2022)
Article
Medicine, General & Internal
Lei Ye, Yayi Wang, Wanxin Xiang, Jin Yao, Jiaming Liu, Bin Song
Summary: The study demonstrated that radiomic mapping could provide more information than direct evaluation of T2 and ADC values in differentiating histological grades of bladder cancer. Among the radiomic models, the T2-mapping radiomic model outperformed the ADC and joint radiomic models.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mingxi Lei, Bino Varghese, Darryl Hwang, Steven Cen, Xiaomeng Lei, Bhushan Desai, Afshin Azadikhah, Assad Oberai, Vinay Duddalwar
Summary: Despite good agreement for most radiomic features across different software programs, there is relatively poor agreement for morphology features. Significant differences were also found in programs that use different gray-level discretization approaches. The inconsistency in evaluating morphological features among software programs highlights the need for further studies to standardize radiomic feature extraction workflows.
JOURNAL OF DIGITAL IMAGING
(2021)
Article
Medicine, General & Internal
Nouf A. Mushari, Georgios Soultanidis, Lisa Duff, Maria G. Trivieri, Zahi A. Fayad, Philip M. Robson, Charalampos Tsoumpas
Summary: The aim of this study is to distinguish active and inactive cardiac sarcoidosis (CS) using cardiac magnetic resonance (CMR) imaging of radiomic features. Subjects were classified into CSactive and CSinactive based on PET-CMR imaging. CMR radiomic analysis shows promising results in distinguishing patients with active and inactive cardiac sarcoidosis.
Article
Oncology
Sarv Priya, Yanan Liu, Caitlin Ward, Nam H. Le, Neetu Soni, Ravishankar Pillenahalli Maheshwarappa, Varun Monga, Honghai Zhang, Milan Sonka, Girish Bathla
Summary: This study examines the feasibility of using radiomics for differentiating between the three most common malignant brain tumor types with varying MRI sequence combinations. The results show that T1 contrast enhanced MRI sequence performs comparably to multiparametric MRI, and model performance is influenced by tumor subregions and the chosen model/feature selection methods.
Article
Neurosciences
Yu Zhao, Yurui Gao, Zhongliang Zu, Muwei Li, Kurt G. Schilling, Adam W. Anderson, Zhaohua Ding, John C. Gore
Summary: A model-free approach is proposed to detect changes in BOLD signals in white matter (WM) by measuring task-evoked increases of BOLD signal synchrony in WM fibers. The results demonstrate that neural activity can be reliably detected as increases in fMRI signal synchrony within WM fibers that are engaged in a task with high sensitivities and reproducibility.
Article
Respiratory System
Sarah L. Finnegan, Michael Browning, Eugene Duff, Catherine J. Harmer, Andrea Reinecke, Najib M. Rahman, Kyle T. S. Pattinson
Summary: Brain activity to breathlessness related cues is a strong predictor of clinical improvement in breathlessness over pulmonary rehabilitation.
Article
Medicine, General & Internal
Havjin Jacob, Julie A. Dybvik, Sigmund Ytre-Hauge, Kristine E. Fasmer, Erling A. Hoivik, Jone Trovik, Camilla Krakstad, Ingfrid S. Haldorsen
Summary: Integrative tumor characterization linking radiomic profiles to gene expression in endometrial cancer patients was explored in this study. A high RPI based on MRI was associated with poor survival outcomes and revealed significant transcriptional alterations. Key genes such as COMP and DMBT1 were identified as potential prognostic markers in this context.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Barbara D. Wichtmann, Felix N. Harder, Kilian Weiss, Stefan O. Schoenberg, Ulrike I. Attenberger, Hatem Alkadhi, Daniel Pinto dos Santos, Bettina Baessler
Summary: Before implementing radiomics in routine clinical practice, it is important to understand the repeatability and reproducibility of radiomic features. This study systematically investigates the influence of image processing parameters on radiomic features from MRI, including feature values and test-retest repeatability.
INVESTIGATIVE RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yanfen Fan, Yixing Yu, Ximing Wang, Mengjie Hu, Chunhong Hu
Summary: This study investigated the use of radiomics models derived from enhanced MRI images to predict Ki-67 expression in hepatocellular carcinoma. The arterial phase radiomics model showed better predictive performance, with the combined model including AP Rad-score and serum AFP levels improving the predictive accuracy further. The findings suggest that a combined model based on enhanced MRI can accurately predict Ki-67 expression in HCC preoperatively.
BMC MEDICAL IMAGING
(2021)
Article
Neurosciences
Elizaveta Lavrova, Emilie Lommers, Henry C. Woodruff, Avishek Chatterjee, Pierre Maquet, Eric Salmon, Philippe Lambin, Christophe Phillips
Summary: The study explored the potential value of qMRI radiomic features in MS diagnosis, finding that models based on magnetization transfer imaging features in WM performed best in the testing sub-cohort, and T1w radiomic features could be used for rapid automated inspection of WM abnormalities.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Medicine, General & Internal
Michael H. Zhang, David Cao, Daniel T. Ginat
Summary: The study developed a radiomic model combined with clinical parameters to successfully predict nodal response to induction chemotherapy for locally advanced head and neck squamous cell carcinoma patients, showing promising clinical implications.
Letter
Urology & Nephrology
Corina Bello, Markus M. Luedi
WORLD JOURNAL OF UROLOGY
(2022)
Article
Surgery
Ralph Schneider, Marius Dettmer, Nora Peters, Tenzin Lamdark, Markus M. Luedi, Michel Adamina, Dietrich Doll
Summary: The current treatment strategy for pilonidal sinus disease (PSD) in Germany mainly consists of primary excision and open wound healing. However, the use of flap procedures and off-midline techniques has increased over the past 20 years. Despite this increase, minimally invasive approaches are still underutilized. Compliance with national guidelines for PSD treatment remains poor.
EUROPEAN SURGERY-ACTA CHIRURGICA AUSTRIACA
(2022)
Article
Anesthesiology
Sven Petersen, Markus Huber, Federico Storni, Gero Puhl, Alice Deder, Axel Prause, Joerg C. Schefold, Dietrich Doll, Patrick Schober, Markus M. Luedi
Summary: This study aimed to predict survival outcomes in peritonitis patients treated with open abdomen surgery using a multidomain prediction model. The results indicated that the surgical predictor skin closure, along with the physiological predictors SAPS-II and MPI, were key factors in predicting survival. The integrative prediction model outperformed individual predictors in predicting survival outcomes.
JOURNAL OF CLINICAL MONITORING AND COMPUTING
(2022)
Article
Oncology
Michael A. Vogelbaum, Paul D. Brown, Hans Messersmith, Priscilla K. Brastianos, Stuart Burri, Dan Cahill, Ian F. Dunn, Laurie E. Gaspar, Na Tosha N. Gatson, Vinai Gondi, Justin T. Jordan, Andrew B. Lassman, Julia Maues, Nimish Mohile, Navid Redjal, Glen Stevens, Erik Sulman, Martin van den Bent, H. James Wallace, Jeffrey S. Weinberg, Gelareh Zadeh, David Schiff
Summary: The purpose of this study is to provide guidelines for clinicians on treating patients with brain metastases from solid tumors. The study conducted a systematic review of the literature and found that surgery is a reasonable option for patients with brain metastases. Local therapy should be given to patients with symptomatic brain metastases, regardless of the systemic therapy used. For patients with asymptomatic brain metastases, local therapy should not be deferred unless specifically recommended. Several regimens were recommended for different types of cancer. For patients with no systemic therapy options, stereotactic radiosurgery (SRS) alone should be offered. Memantine and hippocampal avoidance should be considered for patients receiving whole brain radiation therapy. Patients with low Karnofsky Performance Status and no systemic therapy options do not benefit from radiation therapy.
JOURNAL OF CLINICAL ONCOLOGY
(2022)
Article
Oncology
Matthew J. Shepard, Ali S. Haider, Sujit S. Prabhu, Raymond Sawaya, Franco DeMonte, Ian E. McCutcheon, Jeffrey S. Weinberg, Sherise D. Ferguson, Dima Suki, Gregory N. Fuller, Frederick F. Lang
Summary: This is the first modern surgical series providing long term follow-up for patients undergoing surgical resection of pineal region tumors. Obtaining a gross total resection of these challenging tumors is beneficial for improving progression free survival and overall survival. Higher grade tumors have decreased survival rates and are often treated with adjuvant chemotherapy and/or radiotherapy.
JOURNAL OF NEURO-ONCOLOGY
(2022)
Review
Clinical Neurology
Corina Bello, Lukas Andereggen, Markus M. Luedi, Christian M. Beilstein
Summary: Postcraniotomy headache (PCH) is a common and underappreciated adverse event. The use of opioids for pain relief may interfere with neurologic evaluation and should be minimized. Special attention should be given to pain control for both acute and chronic PCH, particularly in neurosurgical settings.
CURRENT PAIN AND HEADACHE REPORTS
(2022)
Article
Clinical Neurology
Ali S. Haider, Tarek Y. El Ahmadieh, Maryam Haider, Kimmo J. Hatanpaa, Marco C. Pinho, Bruce E. Mickey, Raymond Sawaya, Gregory N. Fuller, Donald F. Schomer, Maria Gule-Monroe
Summary: This study describes the clinical and radiological characteristics of fourth ventricle subependymoma, which is the largest collection reported so far. All tumors in this cohort originated between the bottom of the fourth ventricle body and the obex, providing important clues for imaging diagnosis.
Article
Cell Biology
Markus Hahn, Ulrike M. Stamer, Markus M. Luedi, Malte Book, Heinz U. Rieder, Frank Stueber
Summary: Plasma concentrations of natriuretic peptides (NP) are important for risk stratification and management of patients undergoing non-cardiac surgery. This study found that genetic variability in NP levels might influence plasma concentrations. Inclusion of genetic information could improve perioperative risk stratification for patients.
Editorial Material
Cell Biology
Jan Larmann, Markus M. Luedi
Review
Cell Biology
Paul Philipp Heinisch, Corina Bello, Maximilian Y. Emmert, Thierry Carrel, Martina Dressen, Juergen Hoerer, Bernhard Winkler, Markus M. Luedi
Summary: Endothelial progenitor cells (EPC) have the potential to influence the integrity and stability of the vascular endothelium, but their role and applicability as biomarkers in clinical settings are still uncertain. Evaluating endothelial dysfunction remains a major challenge, largely due to the heterogeneity of this cell population. To use EPC levels as biomarkers for vascular function and cardiovascular risk, defining their phenotype accurately and updating current isolation methods are urgent priorities.
Editorial Material
Anesthesiology
Markus M. Luedi, Richard D. Urman
BEST PRACTICE & RESEARCH-CLINICAL ANAESTHESIOLOGY
(2022)
Article
Clinical Neurology
E. D. H. Gates, D. Suki, A. Celaya, J. S. Weinberg, S. S. Prabhu, R. Sawaya, J. T. Huse, J. P. Long, D. Fuentes, D. Schellingerhout
Summary: The use of machine learning to estimate glioma cellularity based on imaging data is a promising biomarker for predicting patient survival. It demonstrates a similar prognostic ability to World Health Organization grading, with the added benefits of early availability, low risk, and low cost.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Article
Clinical Neurology
Wajd N. Al-Holou, Dima Suki, Tiffany R. Hodges, Richard G. Everson, Jacob Freeman, Sherise D. Ferguson, Ian E. McCutcheon, Sujit S. Prabhu, Jeffrey S. Weinberg, Raymond Sawaya, Frederick F. Lang
Summary: This study describes the sulcus-guided resection (SGR) technique used for resecting low-grade gliomas (LGGs) and shows that SGR is independently associated with significantly higher rates of complete resection without an increase in neurological complications compared to the inside-out piecemeal resection (PMR) technique.
JOURNAL OF NEUROSURGERY
(2022)
Article
Medicine, General & Internal
Jan Gewiess, Markus Martin Luedi, Beat Schnueriger, Theodoros Hercules Tosounidis, Marius Johann Baptist Keel, Johannes Dominik Bastian
Summary: The study aimed to investigate the effectiveness of C-clamp application in patients with unstable pelvic fractures and hemodynamic instability. The results showed that early application of C-clamp can effectively stabilize hemodynamics and reduce volume substitution. This finding is important for severely injured patients.
MEDICINA-LITHUANIA
(2022)
Article
Clinical Neurology
Sungho Lee, Aditya Srivatsan, Visish M. Srinivasan, Stephen R. Chen, Jan-Karl Burkhardt, Jeremiah N. Johnson, Daniel M. S. Raper, Jeffrey S. Weinberg, Peter Kan
Summary: Surgical evacuation of chronic subdural hematoma (SDH) is often contraindicated in cancer patients with refractory thrombocytopenia. Middle meningeal artery embolization (MMAE) has emerged as a potential alternative for these patients. This study evaluates the safety and efficacy of MMAE for chronic SDH in cancer patients with refractory thrombocytopenia.
JOURNAL OF NEUROSURGERY
(2022)
