Radiopacity is a critical property of materials that are used for a range of radiological applications, including the development of phantom devices that emulate the radiodensity of native tissues and the production of protective equipment for personnel handling radioactive materials. Three-dimensional (3D) printing is a fabrication platform that is well suited to creating complex anatomical replicas or custom labware to accomplish these radiological purposes. We created and tested multiple ABS (Acrylonitrile butadiene styrene) filaments infused with varied concentrations of bismuth (1.2-2.7 g/cm³), a radiopaque metal that is compatible with plastic infusion, to address the poor gamma radiation attenuation of many mainstream 3D printing materials. X-ray computed tomography (CT) experiments of these filaments indicated that a density of 1.2 g/cm³ of bismuth-infused ABS emulates bone radiopacity during X-ray CT imaging on preclinical and clinical scanners. ABS-bismuth filaments along with ABS were 3D printed to create an embedded human nasocranial anatomical phantom that mimicked radiological properties of native bone and soft tissue. Increasing the bismuth content in the filaments to 2.7 g/cm³ created a stable material that could attenuate 50% of Technetium gamma emission when printed with a 2.0 mm wall thickness. A shielded test tube rack was printed to attenuate source radiation as a protective measure for lab personnel. We demonstrated the utility of novel filaments to serve multiple radiological purposes, including the creation of anthropomorphic phantoms and safety labware, by tuning the level of radiation attenuation through material customization.
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http://dx.doi.org/10.3390/s17030459 | DOI Listing |
Med Phys
January 2025
Breast Imaging Department, Red Cross Hospital Munich, Munich, Germany.
Background: A significant proportion of false positive recalls of mammography-screened women is due to benign breast cysts and simple fibroadenomas. These lesions appear mammographically as smooth-shaped dense masses and require the recalling of women for a breast ultrasound to obtain complementary imaging information. They can be identified safely by ultrasound with no need for further assessment or treatment.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Purpose: In CheckMate 204, nivolumab + ipilimumab showed high intracranial (IC) objective response rates (icORRs) in patients with melanoma brain metastases (MBMs). Using icORR as a surrogate for overall survival (OS) has prompted use of alternate response criteria. To set the stage for harmonized MBM trials, the aim of this exploratory analysis was to determine icORR using several response criteria and examine correlations of response with survival.
View Article and Find Full Text PDFAm Surg
January 2025
Department of Pediatric Surgery, Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, TN, USA.
Background: Solid pseudopapillary neoplasms (SPNs) arising in the body or tail of the pancreas can be amenable to laparoscopic distal pancreatectomy with or without concomitant splenectomy. The purpose of this study was to evaluate laparoscopic distal pancreatectomy for SPN using the Warshaw technique as a means to preserve spleens in children.
Methods: We reviewed our database of SPN patients 19 years and younger (January 2006-December 2023).
Endocrine
January 2025
Unit of Endocrinology, Department of Clinical and Molecular Medicine, ENETS Center of Excellence, Sapienza University of Rome, Rome, Italy.
Diabetes mellitus (DM) and neuroendocrine tumors (NET) can exert unfavorable effects on each other prognosis. In this narrative review, we evaluated the effects of NET therapies on glycemic control and DM management and the effects of anti-diabetic therapies on NET outcome and management. For this purpose, we searched the PubMed, Science Direct, and Google Scholar databases for studies reporting the effects of NET therapy on DM as well as the effect of DM therapy on NET.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
January 2025
Department of Radiology, University of Chicago, Chicago, IL, USA.
Purpose: Thyroid nodules are common, and ultrasound-based risk stratification using ACR's TIRADS classification is a key step in predicting nodule pathology. Determining thyroid nodule contours is necessary for the calculation of TIRADS scores and can also be used in the development of machine learning nodule diagnosis systems. This paper presents the development, validation, and multi-institutional independent testing of a machine learning system for the automatic segmentation of thyroid nodules on ultrasound.
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