Technetium-99m methylene diphosphonate (Tc-99m MDP) bone scans have long been used by clinicians to diagnose osseous metastases in patients with cancer. However, in several benign and malignant diseases, notably those characterized by extensive soft tissue calcification, Tc-99m MDP may be taken up by the tumor itself. We present a case of a stage IIIC psammoma-rich low-grade serous carcinoma of the ovary, whose identity and extent of disease were first suggested by Tc-99m MDP scintigraphy. The literature concerning this form of cancer, and the use of Tc-99m MDP bone scans to image soft tissue lesions, are reviewed.

Download full-text PDF

Source
http://dx.doi.org/10.1097/01.rlu.0000162604.51925.5eDOI Listing

Publication Analysis

Top Keywords

tc-99m mdp
16
mdp bone
8
bone scans
8
soft tissue
8
technetium-99m diphosphonate
4
diphosphonate imaging
4
imaging psammocarcinoma
4
psammocarcinoma probable
4
probable ovarian
4
ovarian origin
4

Similar Publications

Purpose: The aim of this study was to evaluate the effectiveness of single-photon emission computed tomography/computed tomography (SPECT/CT) in detecting and localizing the causative vertebra in cases of suspected fresh osteoporotic vertebral compression fractures (OVCFs) in patients with contraindications to MRI.

Methods: A total of 21 patients with severe back pain with 31 suspected OVCF segments and contraindications to MRI were initially identified through radiographs and the back pain-inducing test (BPIT). The responsible vertebral bodies were determined using [Tc]MDP SPECT/CT before percutaneous vertebroplasty (PVP).

View Article and Find Full Text PDF

Background: Tc-stannous methylene diphosphonate (Tc-MDP) bone single-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a crucial role in various clinical applications. Many strategies have been developed to reduce the injection activity and procedure time, improve the patient experience and reduce their anxiety prior to and during SPECT imaging. This study aimed to evaluate the SwiftScan mode and its effect on image quality, and diagnostic performance of malignant skeletal lesions in bone SPECT image.

View Article and Find Full Text PDF

AI-Based Noise-Reduction Filter for Whole-Body Planar Bone Scintigraphy Reliably Improves Low-Count Images.

Diagnostics (Basel)

November 2024

Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.

: Artificial intelligence (AI) is a promising tool for the enhancement of physician workflow and serves to further improve the efficiency of their diagnostic evaluations. This study aimed to assess the performance of an AI-based bone scan noise-reduction filter on noisy, low-count images in a routine clinical environment. : The performance of the AI bone-scan filter (BS-AI filter) in question was retrospectively evaluated on 47 different patients' Tc-MDP bone scintigraphy image pairs (anterior- and posterior-view images), which were obtained in such a manner as to represent the diverse characteristics of the general patient population.

View Article and Find Full Text PDF

 The primary aim was to evaluate the prolonged quality characteristics of methyl diphosphonate (MDP) aliquots during ambient storage over a specified duration. This study further investigated potential additives that could enhance the stability of MDP aliquots stored under such conditions.  This was a laboratory-based experimental study conducted at the University Teaching Adult Hospital in Lusaka, Zambia.

View Article and Find Full Text PDF

Giant cell tumor of bone (GCTB) is a rare bone tumor often necessitating surgical intervention, radiation therapy, or treatment with bisphosphonates or denosumab. Tc-MDP bone scintigraphy for GCTB has limited specificity, and the relatively high uptake of F-FDG in GCTB makes it challenging to differentiate it from other benign bone tumors. More specific detection and treatment modalities for GCTB are needed to enhance patient monitoring and outcomes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!