CT-based attenuation correction in Tl-201 myocardial perfusion scintigraphy is less effective than non-corrected SPECT for risk stratification

Savvopoulos, Christos; Spyridonidis, Trifon; Παπανδριανός, Νικόλαος; Vassilakos, Pavlos; Alexopoulos, Dimitrios; Apostolopoulos, Dimitris

doi:10.1007/s12350-014-9867-7

Cited by 10 publications

(7 citation statements)

References 31 publications

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“…Some studies have reported that AC can result in more efficient risk stratification compared with non-AC (NAC) by demonstrating greater event rates in AC images compared with the same scoring group of NAC images, and significant hazard ratios (HR) of AC images [ 11 , 12 , 14 ]. Other studies have shown similar event rates between the same AC and NAC scoring groups and significant HR of NAC images [ 13 , 15 ].…”

Section: Introductionmentioning

confidence: 61%

“…The SSS cutoff values based on the event rate distribution across different SSS were 0–4, 5–13 and >13 for NAC, and 0–2, 3–9 and > 9 for AC. In the multivariate model, abnormal AC yielded no significance for all-cause mortality or the composites of death/non-fatal myocardial infarction and death/myocardial infarction/late revascularization, whereas abnormal NAC was shown to be independent from other covariates for the composite endpoints [ 15 ]. The clinical setting of Savvopoulos’ study was very similar to ours.…”

Section: Discussionmentioning

confidence: 99%

“…CT-based AC MPI provided a high-resolution transmission map in a short time [ 19 ]. With regards to the prognostic effect of CT-based AC, two of three studies have demonstrated similar value between CT-based AC and NAC images [ 13 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

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Long-term prognostic value of computed tomography-based attenuation correction on thallium-201 myocardial perfusion imaging: A cohort study

et al. 2021

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Background Myocardial perfusion imaging (MPI) is a well-established diagnostic tool to evaluate coronary artery disease (CAD) and also an effective prognostic tool for patients with CAD. However, few studies investigated the prognostic value of attenuation correction (AC) in MPI, and the results were controversial. Objectives To investigate the prognostic value of computed tomography (CT)-based AC thallium-201 (Tl-201) MPI. Methods A total of 108 consecutive patients who underwent Tl-201 MPI and received coronary angiography within 90 days were included. Medical records were reviewed and missing information was completed after telephone contact. The prognostic value was evaluated by Kaplan-Meier analysis, univariable and multivariable Cox proportional hazards model. Results After a mean follow-up of 7.72 ± 3.72 years, 27 patients had died, 41 had been readmitted for cardiovascular (CV)-related events and 44 had reached the composite of death plus CV-related re-admission. Kaplan-Meier curves for all-cause mortality for SSS with a cutoff value of 13 for AC and 16 for non-AC (NAC) images showed a significant difference between the two curves for both AC and NAC images (p = 0.011 for AC and p = 0.021 for NAC). In the multivariable model, SSS and SRS showed similar independent predictive values in predicting all-cause mortality and composite of all-cause mortality plus CV-related re-admission, in both AC and NAC images. Subgroup analysis implicated that AC MPI possibly provided better risk stratification in obese patients. Conclusion CT-based AC and NAC MPI showed similar value and were the only significant predictors for the composite of mortality and CV events.

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Section: Introductionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 99%

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Long-term prognostic value of computed tomography-based attenuation correction on thallium-201 myocardial perfusion imaging: A cohort study

et al. 2021

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“…Были опубликованы результаты клинических исследований, в которых отмечалось снижение специфичности и появление новых артефактов на изображениях с коррекцией ослабления [18,19]. В редакционной статье [20] авторы пишут, что результаты исследований в передней и верхушечной областях левого желудочка миокарда следует анализировать на основе изображений, полученных без коррекции ослабления. Иными словами, врачи-клиницисты приходят к выводу о том, что в некоторых случаях изображения без коррекции ослабления являются более достоверными по сравнению с изображениями, полученными в режиме с коррекцией ослабления.…”

Section: численное моделированиеunclassified

Получение изображений в диагностической ядерной медицинe

Денисова¹

2018

Журнал Технической Физики

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“…An automated algorithm for classifying CAD images is highly necessary for nuclear physicians since the increasing number of cases causes a bottleneck for the doctors [7]. Concerning CAD diagnosis in nuclear image analysis, ML has been introduced and investigated by various research studies conducted so far, as a methodology for automatic classification [1,[8][9][10][11][12]. Already, CAD systems have proven themselves as a highly stable method in the domain of cardiovascular data analysis, due to their ability to extract data in highly respected analyses, such as SPECT MPI.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Automated Diagnosis for Coronary Artery Disease Using SPECT-MPI Images

Παπανδριανός

Feleki

Papageorgiou

et al. 2022

JCM

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(1) Background: Single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) is a long-established estimation methodology for medical diagnosis using image classification illustrating conditions in coronary artery disease. For these procedures, convolutional neural networks have proven to be very beneficial in achieving near-optimal accuracy for the automatic classification of SPECT images. (2) Methods: This research addresses the supervised learning-based ideal observer image classification utilizing an RGB-CNN model in heart images to diagnose CAD. For comparison purposes, we employ VGG-16 and DenseNet-121 pre-trained networks that are indulged in an image dataset representing stress and rest mode heart states acquired by SPECT. In experimentally evaluating the method, we explore a wide repertoire of deep learning network setups in conjunction with various robust evaluation and exploitation metrics. Additionally, to overcome the image dataset cardinality restrictions, we take advantage of the data augmentation technique expanding the set into an adequate number. Further evaluation of the model was performed via 10-fold cross-validation to ensure our model’s reliability. (3) Results: The proposed RGB-CNN model achieved an accuracy of 91.86%, while VGG-16 and DenseNet-121 reached 88.54% and 86.11%, respectively. (4) Conclusions: The abovementioned experiments verify that the newly developed deep learning models may be of great assistance in nuclear medicine and clinical decision-making.

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CT-based attenuation correction in Tl-201 myocardial perfusion scintigraphy is less effective than non-corrected SPECT for risk stratification

Abstract: Our results challenge the effectiveness of CT-based AC for risk stratification of patients referred for MPS.

Cited by 10 publications

References 31 publications

Long-term prognostic value of computed tomography-based attenuation correction on thallium-201 myocardial perfusion imaging: A cohort study

Long-term prognostic value of computed tomography-based attenuation correction on thallium-201 myocardial perfusion imaging: A cohort study

Получение изображений в диагностической ядерной медицинe

Deep Learning-Based Automated Diagnosis for Coronary Artery Disease Using SPECT-MPI Images

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