Bone SPECT is a very important diagnostic tool for the detection of metabolically active lesions, with good anatomical resolution. It is highly technique-dependent however, and the reports about the role of bone SPECT in diagnosing hypoactive lesions are very limited. In order to determine its diagnostic value, we investigated 18 pediatric spina bifida cases with bone SPECT using different processing and displaying methods. The results were evaluated on a 1 to 5 point scale. Although it was not a very effective procedure for small hypoactive bony lesions, we concluded that the processing method using a Butterworth filter, a cut-off frequency 0.50 cycle/cm and a logarithmic gray scale displaying detects bone lesion more efficiently than the Hanning filter with a linear gray scale. The difference between the values produced using the two methods was significant (p < 0.005).
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J Stomatol Oral Maxillofac Surg
January 2025
Department of Oral & Maxillofacial Surgery, the Affiliated Hospital of Qingdao University, Shandong Province, Qingdao 266000, China; School of Stomatology, Qingdao University, Shandong Province, Qingdao 266000, China. Electronic address:
Objective: The focus of this study was to assess the diagnostic effectiveness of Tc-MDP single-photon emission computed tomography/computed tomography (SPECT/CT) in pinpointing medication-related osteonecrosis of the jaw (MRONJ).
Methods: We gathered a total of 39 patients who were suspected of having MRONJ and displayed radionuclide concentration in the jaws on whole-body bone scans. These patients were subjected to simultaneous SPECT/CT fusion imaging of the jaws during delayed imaging.
Despite an increasing number of studies examining the effect of Single-Photon Emission Computed Tomography/ Computed Tomography (SPECT/CT) on improvement of diagnosis of aseptic loosening, there is still a great deal of uncertainty regarding its applicability in diagnostic algorithm. Therefore, in this meta-analysis, we aimed to investigate the diagnostic performance of SPECT/CT for identification of aseptic loosening in patients with persistent pain following the total knee arthroplasty (TKA) and total hip arthroplasty (THA). Electronic databases including Medline, Scopus, Web of Science, Cochrane library, and Embase were systematically searched for identifying relevant published studies from their inception to April 2023.
View Article and Find Full Text PDFJ Orthop Res
January 2025
Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
The goal of medial open-wedge high tibial osteotomy (MOW-HTO) is to redistribute load by realigning the lower limb. This surgery is indicated for mild to moderate medial compartment osteoarthritis with varus deformity in cases unresponsive to conservative treatment. Procedures for accompanying cartilage lesions, such as multiple drilling on the medial femoral condyle (MFC), are often performed simultaneously, potentially affecting bone metabolism along with load redistribution and union progression.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Clinical Development, POINT Biopharma, a wholly owned subsidiary of Eli Lilly and Company, Indianapolis, IN, United States.
Introduction: SPLASH (NCT04647526) is a multicenter phase III trial evaluating the efficacy and safety of [Lu]Lu-PNT2002 radioligand therapy in metastatic castration-resistant prostate cancer (mCRPC). This study leveraged a lead-in phase to assess tissue dosimetry and evaluate preliminary safety and efficacy, prior to expansion into a randomized phase. Here we report those results.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
School of Computing, Mathematics and Engineering, Charles Sturt University, Albury, Australia.
Background: The limitation in spatial resolution of bone scintigraphy, combined with the vast variations in size, location, and intensity of bone metastasis (BM) lesions, poses challenges for accurate diagnosis by human experts. Deep learning-based analysis has emerged as a preferred approach for automating the identification and delineation of BM lesions. This study aims to develop a deep learning-based approach to automatically segment bone scintigrams for improving diagnostic accuracy.
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