C. Uribe

Materia, hallazgos y percepciones como lugares de enunciacion en la obra de Juan Fernando Herran

C. Uribe

Reseña de la exposición de Juan Fernando Herrán. Materialidades y Constelaciones, curaduría de María Margarita Malagón-Kurka. 12 de marzo de 2025 - 15 de junio de 2025, Museo de Arte Moderno de Medellín (MAMM). 18 de septiembre de 2025 - 16 de …

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Maximum Likelihood Reconstruction of Attenuation and Activity (MLAA) in SPECT for Improved Attenuation Correction: Simulation, Phantom, and Patient Data Validation

Changqiao Li, Yuechun Zhu, Lucas Polson, J. Fowler et autres

Purpose: Quantitative SPECT-CT, originally developed for radionuclide therapy dosimetry, relies on accurate attenuation maps. As attenuation is energy-dependent, CT-derived data must be converted to the radionuclide's photopeak energy ($\mu$-map)[1], typically via bilinear scaling, which can introduce bias. To address this, we apply …

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Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies

Alejandro López-Montes, Fereshteh Yousefirizi, Yizhou Chen, Yazdan Salimi et autres

KEY WORDS: Artificial Intelligence (AI), Theranostics, Dosimetry, Radiopharmaceutical Therapy (RPT), Patient-friendly dosimetry KEY POINTS - The rapid evolution of radiopharmaceutical therapy (RPT) highlights the growing need for personalized and patient-centered dosimetry. - Artificial Intelligence (AI) offers solutions to the key limitations in …

Summary: SNMMI/ACNM Procedure Standard for Posttreatment Imaging of 177 Lu-Based Radiopharmaceuticals

C. Uribe, Amir Iravani, Bital Savir-Baruch, Heather A. Jacene et autres

Radiopharmaceutical therapies (RPTs) use radiolabeled molecules to target biomarkers preferentially expressed on tumor cell surfaces. Prior to therapy, PET is used to assess whether the radiopharmaceutical demonstrates sufficient tumor localization. If present, the cells can be targeted with the

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Can177Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR PET? Findings from Multicenter Data

Azadeh Akhavanallaf, Zhong‐Lin Lu, Avery Peterson, Johan Blakkisrud et autres

Before performing 177Lu-DOTATATE therapy for neuroendocrine tumors, somatostatin receptor (SSTR) PET imaging is currently used to confirm sufficient tumor SSTR expression, but it also has potential to be used to personalize treatment by predicting absorbed doses to critical organs. This study aims …

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Validation of the Zwolle Risk Score in STEMI Patients Undergoing Primary PCI: Insights from the ISCAS-STEMI COVID-19 Registry

Magdy Algowhary, Berat Uğuz, Dinaldo Cavalcanti de Oliveira, V. I. Ganyukov et autres

BACKGROUND: Several scores have been developed to facilitate risk stratification and early discharge following primary angioplasty, particularly the Zwolle Risk Score (ZRS). However, validation in large-sized studies is still lacking. Therefore, the aim of the current study was to validate the use …

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Shifting the Spotlight to Low-Dose Rate Radiobiology in Radiopharmaceutical Therapies: Mathematical Modeling, Challenges, and Future Directions

Hamid Abdollahi, Babak Saboury, Tahir Yusufaly, Ian L. Alberts et autres

Radiopharmaceutical therapy (RPT) is an established treatment modality and is of increasing interest for different cancer types. A key unmet need, both in the wider adoption of RPT and in the improvement of outcomes with existing RPTs, is in treatment planning and …

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Long-term occupation of bofedales ecosystems by high-Andean hunter-gatherers in the Dry Puna, northern Chile

Luca Sitzia, Daniela Osorio, Magdalena García, Jan‐Christoph Otto et autres

Abstract This project employs a geoarchaeological approach to explore human occupation of the highland wetlands ( bofedales ) and salt flats of the Dry Puna of northern Chile (>2500m above sea level) during the Holocene. Differences in the archaeological record of each …

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Impact of diabetes on epicardial reperfusion and mortality in a contemporary STEMI population undergoing mechanical reperfusion: Insights from the ISACS STEMI COVID 19 registry

Magdy Algowhary, Berat Uğuz, Dinaldo Cavalcanti de Oliveira, V. I. Ganyukov et autres

BACKGROUND AND AIM: Diabetes has been shown in last decades to be associated with a significantly higher mortality among patients with ST-segment elevation myocardial infarction (STEMI) treated with primary PCI (PPCI). Therefore, the aim of current study was to evaluate the impact …

it, Égypte, tr, br, ru, mk, si, dk, sg, ro, es, pl, nl, cz, us, cn, hk, id, hr, gr, fr, tw, pt, ar, de, fi, uy, Algérie, be (code pays fourni par la source)

Impact of hypertension on mortality in patients with ST-elevation myocardial infarction undergoing primary angioplasty: insights from the international multicenter ISACS-STEMI registry

Giuseppe De Luca, Matteo Nardin, Magdy Algowhary, Berat Uğuz et autres

BACKGROUND: Hypertension is the most prevalent cardiovascular risk factor, with several detrimental effects on the cardiovascular system. Contrasting results have been reported so far on its prognostic role in patients admitted for ST-segment elevation myocardial infarction (STEMI). Therefore, we investigated the impact …

it, Égypte, tr, br, ru, mk, si, dk, sg, ro, es, pl, nl, cz, us, cn, hk, id, hr, gr, fr, tw, pt, ar, de, fi, uy, Algérie, be (code pays fourni par la source)

Quantifying Uncertainty in SPECT Imaging Using a Gamma Statistical Model with Spatial Covariance

Changqiao Li, Lucas Polson, C. Uribe, Arman Rahmim

PurposeUncertainty assessment improves radiopharmaceutical dosing accuracy, aiding clinicians in predicting therapeutic outcomes and minimizing side effects. It ensures that scanner performance aligns with design specifications through routine quality checks on sensitivity, bias, and 3-D capabilities. Building on research that normalized PET data …

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Computationally Efficient Collimator-Detector Response Compensation in High Energy SPECT using 1D Convolutions and Rotations

Lucas Polson, Pedro L. Esquinas, Sara Kurkowska, Chenguang Li et autres

Modeling of the collimator-detector response (CDR) in SPECT reconstruction enables improved resolution and accuracy, and is thus important for quantitative imaging applications such as dosimetry. The implementation of CDR modeling, however, can become a computational bottleneck when there are substantial components of …