AIMC Topic: Technetium Tc 99m Sestamibi

Clear Filters Showing 1 to 9 of 9 articles

Artificial Delayed-phase Technetium-99m MIBI Scintigraphy From Early-phase Scintigraphy Improves Identification of Hyperfunctioning Parathyroid Lesions in Patients With Hyperparathyroidism.

Clinical nuclear medicine Apr 24, 2025
PURPOSE: The aim of this study was to generate and validate artificial delayed-phase technetium-99m methoxyisobutylisonitrile scintigraphy (aMIBI) images from early-phase technetium-99m methoxyisobutylisonitrile scintigraphy (eMIBI) images.
Female Aged Adult Male Humans Retrospective Studies Parathyroid Glands Radionuclide Imaging Technetium Tc 99m Sestamibi Organotechnetium Compounds Middle Aged Time Factors ROC Curve Hyperparathyroidism
View on PubMed DOI

Machine learning-derived clinical decision algorithm for the diagnosis of hyperfunctioning parathyroid glands in patients with primary hyperparathyroidism.

European radiology Oct 30, 2024
PURPOSE: To train and validate machine learning-derived clinical decision algorithm (CDA) for the diagnosis of hyperfunctioning parathyroid glands using preoperative variables to facilitate surgical planning.
Humans Machine Learning Technetium Tc 99m Sestamibi Male Hyperparathyroidism, Primary Female Algorithms Middle Aged Radiopharmaceuticals Retrospective Studies Parathyroid Glands Aged Parathyroidectomy Clinical Decision-Making Adult Single Photon Emission Computed Tomography Computed Tomography Sensitivity and Specificity Four-Dimensional Computed Tomography
View on PubMed DOI

Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Sep 12, 2022
BACKGROUND: Deep learning (DL)-based attenuation correction (AC) is promising to improve myocardial perfusion (MP) SPECT. We aimed to optimize and compare the DL-based direct and indirect AC methods, with and without SPECT and CT mismatch.
Humans Tomography, Emission-Computed, Single-Photon Technetium Tc 99m Sestamibi Retrospective Studies Deep Learning Image Processing, Computer-Assisted Perfusion
View on PubMed DOI

Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Aug 18, 2022
BACKGROUND: Low-dose (LD) myocardial perfusion (MP) SPECT suffers from high noise level, leading to compromised diagnostic accuracy. Here we investigated the denoising performance for MP-SPECT using a conditional generative adversarial network (cGAN)...
Tomography, Emission-Computed, Single-Photon Single Photon Emission Computed Tomography Computed Tomography Technetium Tc 99m Sestamibi Image Processing, Computer-Assisted Perfusion Phantoms, Imaging Humans Retrospective Studies Deep Learning
View on PubMed DOI

Deep learning-based detection of parathyroid adenoma by Tc-MIBI scintigraphy in patients with primary hyperparathyroidism.

Annals of nuclear medicine Feb 18, 2022
OBJECTIVE: It is important to detect parathyroid adenomas by parathyroid scintigraphy with 99m-technetium sestamibi (Tc-MIBI) before surgery. This study aimed to develop and validate deep learning (DL)-based models to detect parathyroid adenoma in pa...
Technetium Parathyroid Glands Radionuclide Imaging Parathyroid Neoplasms Technetium Tc 99m Sestamibi Deep Learning Adenoma Radiopharmaceuticals Hyperparathyroidism, Primary Sensitivity and Specificity Humans Male Female Middle Aged Aged
View on PubMed DOI

Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.

Annals of nuclear medicine Oct 9, 2018
OBJECTIVES: The patient-based diagnosis with an artificial neural network (ANN) has shown potential utility for the detection of coronary artery disease; however, the region-based accuracy of the detected regions has not been fully evaluated. The aim...
Humans Neural Networks, Computer Female Aged Male Middle Aged ROC Curve Tomography, Emission-Computed, Single-Photon Image Processing, Computer-Assisted Myocardial Perfusion Imaging Area Under Curve Technetium Tc 99m Sestamibi
View on PubMed DOI

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

JACC. Cardiovascular imaging Mar 14, 2018
OBJECTIVES: The study evaluated the automatic prediction of obstructive disease from myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion deficit (TPD).
Technetium Tc 99m Sestamibi Humans Organotechnetium Compounds Middle Aged Female Tomography, Emission-Computed, Single-Photon Deep Learning Aged Coronary Circulation Radiopharmaceuticals Predictive Value of Tests Aged, 80 and over Myocardial Perfusion Imaging Image Interpretation, Computer-Assisted Registries Coronary Stenosis Male Organophosphorus Compounds
View on PubMed DOI

Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Dec 6, 2014
OBJECTIVE: We aimed to investigate if early revascularization in patients with suspected coronary artery disease can be effectively predicted by integrating clinical data and quantitative image features derived from perfusion SPECT (MPS) by machine l...
Myocardial Perfusion Imaging Technetium Tc 99m Sestamibi Thallium Radioisotopes Radiopharmaceuticals Male Tomography, Emission-Computed, Single-Photon Middle Aged Coronary Angiography Myocardial Revascularization Image Processing, Computer-Assisted Retrospective Studies Exercise Test Humans Electrocardiography Female Heart Machine Learning Aged Coronary Artery Disease Algorithms Sensitivity and Specificity
View on PubMed DOI

Fuzzy logic-based moving average filters for reducing noise from Tc-99m-sestamibi parathyroid images.

Nuclear medicine communications Aug 1, 2021
INTRODUCTION: The objective of the study was to use fuzzy logic-based moving average filters for reducing noise from Tc-99m-sestamibi parathyroid images and to compare its performance with classical moving average filters.
Image Processing, Computer-Assisted Fuzzy Logic Signal-To-Noise Ratio Parathyroid Glands Technetium Tc 99m Sestamibi Humans
View on PubMed DOI
Popular Topics
Recent Journals