Int J Dermatol 2021 Jun 25;60(6):763-765. Epub 2020 Nov 25.
Department of Medical, Surgical and Neurological Science, Dermatology Section, University of Siena, S. Maria alle Scotte Hospital, Siena, Italy.
Lasers Surg Med 2021 Jun 15. Epub 2021 Jun 15.
Department of Biomedical Engineering, The University of Texas Austin, Austin, Texas, 78712, USA.
Background And Objectives: Despite rapid advances and discoveries in medical imaging, monitoring therapeutic efficacy for malignant gliomas and monitoring tumor vasculature remains problematic. The purpose of this study is to utilize optical coherence angiography for vasculature characterization inside and surrounding brain tumors in a murine xenograft brain tumor model. Features included in our analysis include fractional blood volume, vessel tortuosity, diameter, orientation, and directionality. Read More
World Neurosurg 2021 Jun 12. Epub 2021 Jun 12.
Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. Electronic address:
Objective: We reviewed cases to better characterize children with glioblastoma (GBM), assess outcomes and identify prognostic factors associated with overall survival (OS) and progression-free survival (PFS) in a relatively large cohort from one institution.Methods: We selected thirty-eight pediatric patients diagnosed with GBM at The First Affiliated Hospital, University of Zhengzhou between January 2015 and January 2020 for retrospective review. Comparisons were made among clinical and pathological characteristics, images, treatment, and survival variables. Read More
Am J Pathol 2021 Jun 12. Epub 2021 Jun 12.
Department of Radiology and Committee on Medical Physics, University of Chicago, Chicago, IL, USA, 60637. Electronic address:
With applications in object detection, image feature extraction, image classification, and image segmentation, artificial intelligence is enabling high-throughput analysis of image data in a variety of biomedical imaging disciplines, ranging from radiology and pathology to cancer biology and immunology. Specifically, a growth in research surrounding deep learning has led to widespread application of computer vision techniques to analyze and mine data from biomedical images. The availability of open-source software packages and the development of novel, trainable deep neural network architectures has led to an increase in accuracy of cell detection and segmentation algorithms. Read More
IEEE Trans Med Imaging 2021 Jun 15;PP. Epub 2021 Jun 15.
Detecting synaptic clefts is a crucial step to investigate the biological function of synapses. The volume electron microscopy (EM) allows the identification of synaptic clefts by photoing EM images with high resolution and fine details. Machine learning approaches have been employed to automatically predict synaptic clefts from EM images. Read More
Abdom Radiol (NY) 2021 Jun 15. Epub 2021 Jun 15.
Department of Radiology, University of Washington Medical Center, 1959 N.E. Pacific Street, Seattle, WA, 98195, USA.
Uterine perforation and rupture, denoting iatrogenic and non-iatrogenic uterine wall injury, respectively, are associated with substantial morbidity,and at times mortality. Diverse conditions can result in injury to both the gravid and the non-gravid uterus, and imaging plays a central role in diagnosis of such suspected cases. Ultrasound (US) is the initial imaging modality of choice, depicting the secondary signs associated with uterine wall injury and occasionally revealing the site of perforation. Read More