Article
Radiology, Nuclear Medicine & Medical Imaging
Tugba Akinci D'Antonoli, Armando Ugo Cavallo, Federica Vernuccio, Arnaldo Stanzione, Michail E. Klontzas, Roberto Cannella, Lorenzo Ugga, Agah Baran, Salvatore Claudio Fanni, Ekaterina Petrash, Ilaria Ambrosini, Luca Alessandro Cappellini, Peter van Ooijen, Elmar Kotter, Daniel Pinto dos Santos, Renato Cuocolo
Summary: This study investigated the reliability of the total radiomics quality score (RQS) and the reproducibility of individual RQS items' score in a large multireader study. The results showed low inter-rater reliability for total RQS and moderate to good intra-rater reliability for individual RQS items' score. There is a need for a robust and reproducible assessment method to improve the quality of radiomics research.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Martin J. Willemink, Domenico Mastrodicasa, Mohammad H. Madani, Marina Codari, Leonid L. Chepelev, Gabriel Mistelbauer, Kate Hanneman, Maral Ouzounian, Daniel Ocazionez, Rana O. Afifi, Joan M. Lacomis, Luigi Lovato, Davide Pacini, Gianluca Folesani, Ricarda Hinzpeter, Hatem Alkadhi, Arthur E. Stillman, Anna M. Sailer, Valery L. Turner, Virginia Hinostroza, Kathrin Baumler, Anne S. Chin, Nicholas S. Burris, D. Craig Miller, Michael P. Fischbein, Dominik Fleischmann
Summary: This study aimed to evaluate the reproducibility of expert-derived CTA measurements. The results showed that by optimizing the manual measurement method, inter-observer consistency can be improved, which is crucial for the ground-truth determination of machine learning models.
EUROPEAN RADIOLOGY
(2023)
Article
Oncology
Fengxiang Li, Yankang Li, Xue Wang, Yingjie Zhang, Xijun Liu, Shanshan Liu, Wei Wang, Jinzhi Wang, Yanluan Guo, Min Xu, Jianbin Li
Summary: This study aimed to investigate the variability in delineating primary esophageal carcinomas (ECs) using different combinations of diagnostic multimodal images. The results showed that using diagnostic multimodal images from endoscopy/EUS, esophagography, and FDG-PET/CT could reduce the intra-/inter-observer variability and increase the accuracy of target delineation for radiation oncologists with advanced medical imaging training and clinical experience.
FRONTIERS IN ONCOLOGY
(2022)
Article
Obstetrics & Gynecology
Jessica Eastick, Christos Venetis, Simon Cooke, Michael Chapman
Summary: This study aimed to examine the agreement in assessing cytoplasmic string (CS) by embryologists on day 5/6 human blastocysts using EmbryoViewer software. Inter- and intra-observer agreement was calculated, revealing moderate agreement in the presence of CS and their vesicles among the embryologists. The study suggests the need for further training and a quality assurance program to improve agreement in the specific characteristics of CS assessment.
REPRODUCTIVE SCIENCES
(2023)
Article
Medicine, General & Internal
Joep G. J. Wijnand, Devin Zarkowsky, Bian Wu, Steven T. W. van Haelst, Evert-Jan P. A. Vonken, Thomas A. Sorrentino, Zachary Pallister, Jayer Chung, Joseph L. Mills, Martin Teraa, Marianne C. Verhaar, Gert J. de Borst, Michael S. Conte
Summary: The Global Vascular Guidelines in 2020 aim to improve decision-making in Chronic Limb-Threatening Ischemia by providing an evidence-based revascularization framework. The Global Limb Anatomic Staging System (GLASS) serves to estimate the success of lower extremity arterial revascularization based on the extent and distribution of atherosclerotic lesions. The study suggests that a stepwise component scoring provides acceptable agreement for GLASS and lays a solid foundation for further validation studies.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Oncology
Diana Veiga-Canuto, Leonor Cerda-Alberich, Cinta Sanguesa Nebot, Blanca Martinez de Las Heras, Ulrike Potschger, Michela Gabelloni, Jose Miguel Carot Sierra, Sabine Taschner-Mandl, Vanessa Duster, Adela Canete, Ruth Ladenstein, Emanuele Neri, Luis Marti-Bonmati
Summary: Tumor segmentation is a crucial step in imaging processing and is usually done manually by radiologists. This study developed an automatic model using the deep learning architecture nnU-Net to detect and segment neuroblastic tumors, and compared its performance with manual segmentation. The results showed that the variability between nnU-Net and manual segmentation is similar to the inter-observer variability in manual segmentation. Additionally, the automatic model demonstrated a significant time advantage over manual segmentation.
Article
Agriculture, Dairy & Animal Science
Amber Hillaert, Emmelie Stock, Sophie Favril, Luc Duchateau, Jimmy H. H. Saunders, Katrien Vanderperren
Summary: Contrast-enhanced ultrasound (CEUS) is a non-invasive imaging technique that allows qualitative and quantitative assessment of tissue perfusion. Despite its numerous advantages, a major challenge is the variability in tissue perfusion quantification. This study aimed to evaluate intra- and inter-observer variability for quantification of renal perfusion. Two observers with different levels of expertise performed a quantitative analysis of 36 renal CEUS studies, twice. The study found good agreement between observers for intensity-related parameters in the cortex, medulla, and interlobular artery, but poor agreement for time-related and slope-related parameters. It is advised that the quantitative assessment of renal perfusion should not be performed by different observers, especially with varying levels of experience. The parameter of cortical mean transit time (mTTI) showed the most favorable inter-observer and inter-period agreement.
Article
Radiology, Nuclear Medicine & Medical Imaging
Lea Azour, William H. Moore, Thomas O'Donnell, Mylene T. Truong, James Babb, Bowen Niu, Andreas Wimmer, Saman Kiumehr, Jane P. Ko
Summary: This study evaluated the inter-observer consistency of radiomic features for subsolid pulmonary nodules. The results showed that some features had high consistency among observers, and nodule morphology influenced both feature consistency and segmentation accuracy.
ACADEMIC RADIOLOGY
(2022)
Article
Neurosciences
Thomas Bazeille, Elizabeth DuPre, Hugo Richard, Jean-Baptiste Poline, Bertrand Thirion
Summary: This study benchmarks five functional alignment methods and finds that functional alignment generally improves inter-subject decoding accuracy, with the best performing methods being dependent on the research context. Specifically, SRM and Optimal Transport perform well at both the region-of-interest level of analysis as well as at the whole-brain scale when aggregated through a piecewise scheme.
Article
Radiology, Nuclear Medicine & Medical Imaging
Xueping Jing, Mirjam Wielema, Andrea G. Monroy-Gonzalez, Thom R. G. Stams, Shekar V. K. Mahesh, Matthijs Oudkerk, Paul E. Sijens, Monique D. Dorrius, Peter M. A. van Ooijen
Summary: This study evaluates the feasibility of reducing inter-observer variability in breast density assessment through AI-assisted interpretation. Deep learning and radiomics models were developed and tested against a reference standard on an independent test set.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Dario Grasso, Aroa Gnesutta, Marco Calvi, Marta Duvia, Maria Giovanna Atria, Angelica Celentano, Leonardo Callegari, Eugenio Annibale Genovese
Summary: This study evaluated the inter-individual concordance of MRI parameters in describing meniscal fibrocartilage, finding that signal intensity is the most reliable parameter, while morphology and position may lead to different interpretations.
Article
Multidisciplinary Sciences
Pierrick Gouel, Francoise Callonnec, Emilie Leveque, Celine Valet, Axelle Blot, Clemence Cuvelier, Sonia Sai, Lucie Saunier, Louis-Ferdinand Pepin, Sebastien Hapdey, Julie Libraire, Pierre Vera, Benjamin Viard
Summary: The evaluation of tumor follow-up according to RECIST 1.1 is crucial in clinical practice for therapeutic decision making. This study shows that selected radiographic technologists have the ability to perform measurements according to RECIST 1.1 criteria by CT scan and accurately identify disease progression.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Gargi Kothari, Beverley Woon, Cameron J. Patrick, James Korte, Leonard Wee, Gerard G. Hanna, Tomas Kron, Nicholas Hardcastle, Shankar Siva
Summary: This study investigates the robustness of radiomics features (RF) to inter-observer variation (IOV) in contouring in lung cancer. The majority of RF are robust to IOV, with first order, GLCM and shape features being the least robust.
SCIENTIFIC REPORTS
(2022)
Article
Geography, Physical
Yufang Ye, Yanbing Luo, Yan Sun, Mohammed Shokr, Signe Aaboe, Fanny Girard-Ardhuin, Fengming Hui, Xiao Cheng, Zhuoqi Chen
Summary: Arctic sea ice type (SITY) variation is an important indicator of climate change, but there is a lack of systematic comparison and analysis of SITY products. This study analyzed multiple SITY products from different retrieval approaches and compared them with sea ice age product and synthetic aperture radar (SAR) images. The results showed variations in the extent of Arctic multiyear ice (MYI) among the SITY products, with some products performing better than others in different time periods. Factors such as the type of scatterometer used, the combination of scatterometer and radiometer data, the quality of training data, and post-processing corrections can impact the performance of SITY products.
Article
Radiology, Nuclear Medicine & Medical Imaging
E. Forde, M. Leech, C. Robert, E. Herron, L. Marignol
Summary: This study aimed to quantify the variability in radiomic features extracted from a right parotid gland delineated by different observers, and identified the radiomic features least sensitive to these uncertainties.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2021)
Article
Agriculture, Dairy & Animal Science
J. Yapura, I. Badea, G. Zamberlam, C. Price, R. Mapletoft, R. Pierson, J. Singh, G. P. Adams
ANIMAL REPRODUCTION SCIENCE
(2015)
Article
Obstetrics & Gynecology
Jacob P. Christ, Heidi Vanden Brink, Eric D. Brooks, Roger A. Pierson, Donna R. Chizen, Marla E. Lujan
FERTILITY AND STERILITY
(2015)
Article
Anthropology
Kathryn B. H. Clancy, Angela R. Baerwald, Roger A. Pierson
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2016)
Article
Reproductive Biology
M. J. Yapura, R. J. Mapletoft, R. A. Pierson, J. Singh, G. P. Adams
Article
Reproductive Biology
H. C. M. Allaway, D. R. Chizen, G. P. Adams, R. A. Pierson
JOURNAL OF OVARIAN RESEARCH
(2017)
Article
Reproductive Biology
M. J. Yapura, E. M. Zwiefelhofer, R. A. Pierson, G. P. Adams
Article
Psychology, Clinical
Maryam Kazemi, Laura E. McBreairty, Gordon A. Zello, Roger A. Pierson, Julianne J. Gordon, Shani B. Serrao, Philip D. Chilibeck, Donna R. Chizen
JOURNAL OF PSYCHOSOMATIC OBSTETRICS & GYNECOLOGY
(2020)
Article
Endocrinology & Metabolism
Maryam Kazemi, Roger A. Pierson, Laura E. McBreairty, Philip D. Chilibeck, Gordon A. Zello, Donna R. Chizen
CLINICAL ENDOCRINOLOGY
(2020)
Review
Endocrinology & Metabolism
Maryam Kazemi, Roger A. Pierson, Stephen A. Parry, Mojtaba Kaviani, Philip D. Chilibeck
Summary: Women with polycystic ovary syndrome (PCOS) do not show significant differences in muscle lean tissue mass compared to controls, but they do have an increase in this metric related to overweight/obesity, unrelated to hyperandrogenism or insulin resistance.
Article
Endocrinology & Metabolism
Heather C. M. Allaway, Roger A. Pierson, Jesse Invik, Susan A. Bloomfield
Summary: The study demonstrated that the implantation of etonogestrel (ENG) LARC pellets affects the estrus cycle in rodents, with different doses of pellets having dose-dependent effects on the time spent in diestrus and estrus. Additionally, alterations in ovarian function were observed following pellet implantation.
REPRODUCTIVE BIOLOGY AND ENDOCRINOLOGY
(2021)
Article
Obstetrics & Gynecology
Hannah E. Pierson, Jesse Invik, Jim Meriano, Roger A. Pierson
Summary: This study aimed to investigate whether Gardner embryo grades can be converted to numeric interval variables to improve the incorporation of embryo grading in statistical analyses. An equation, the numerical embryo quality scoring index (NEQsi), was developed to convert Gardner embryo grades to regular interval scale variables. The NEQsi system was validated with a retrospective chart analysis of 1711 IVF cycles. The results showed that NEQsi produces interval numerical scores that range from 2 to 11, and there is a positive linear relationship between NEQsi scores and the probability of pregnancy.
REPRODUCTIVE BIOMEDICINE ONLINE
(2023)
Article
Obstetrics & Gynecology
Donna R. Chizen, Dominique C. Rislund, Lynne M. Robertson, Hyun J. Lim, Togas Tulandi, Antonio R. Gargiulo, Rudy Leon De Wilde, Aleksey Velygodskiy, Roger A. Pierson
Summary: The study aimed to test the hypothesis that intraperitoneal instillation of L-alanyl-L-glutamine (AG) could reduce the incidence, extent, and severity of adhesions following myomectomy, and to establish the safety and tolerability of AG in humans. The results showed that AG can reduce the incidence, extent, and severity of post-operative adhesions. No serious adverse events were reported in the AG group. These findings confirm the effects of AG on the cellular mechanisms of adhesiogenesis and lay the foundation for further research and treatment in adhesion prophylaxis.
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY
(2023)
Article
Endocrinology & Metabolism
Brittany Y. Jarrett, Natalie Vantman, Reid J. Mergler, Eric D. Brooks, Roger A. Pierson, Donna R. Chizen, Marla E. Lujan
JOURNAL OF THE ENDOCRINE SOCIETY
(2019)
Article
Obstetrics & Gynecology
Linzi E. A. Williamson, Karen L. Lawson, Pamela J. Downe, Roger A. Pierson
JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA
(2014)
Article
Nutrition & Dietetics
Maryam Kazemi, Laura E. McBreairty, Donna R. Chizen, Roger A. Pierson, Philip D. Chilibeck, Gordon A. Zello