journal
https://read.qxmd.com/read/38325397/18f-fdg-pet-ct-images-of-adult-pulmonary-blastoma-a-case-report
#21
JOURNAL ARTICLE
Minhan Chen, Yao Liu
No abstract text is available yet for this article.
February 7, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38325362/radiomics-analysis-of-multiparametric-pet-mri-for-n-and-m-staging-in-patients-with-primary-cervical-cancer
#22
JOURNAL ARTICLE
Lale Umutlu, Felix Nensa, Aydin Demircioglu, Gerald Antoch, Ken Herrmann, Michael Forsting, Johannes Stefan Grueneisen
PURPOSE:  The aim of this study was to investigate the potential of multiparametric 18 F-FDG PET/MR imaging as a platform for radiomics analysis and machine learning algorithms based on primary cervical cancers to predict N- and M-stage in patients. MATERIALS AND METHODS:  A total of 30 patients with histopathological confirmation of primary and untreated cervical cancer were prospectively enrolled for a multiparametric 18 F-FDG PET/MR examination, comprising a dedicated protocol for imaging of the female pelvis...
February 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38262473/global-research-output-of-lutetium-177-psma-in-prostate-cancer-bibliometric-and-altmetric-analyses
#23
JOURNAL ARTICLE
Rakan Al-Rashdan, Haneen Al-Abdallat, Mike Machaba Sathekge, Siroos Mirzaei, Mohammed Shahait, Khaled Al-Khawaldeh, Ahmed Saad Abdlkadir, Szeting Lee, Akram Al-Ibraheem
AIM: The integration of innovative radio-pharmaceutical agents targeting prostate-specific membrane antigen (PSMA) within nuclear medicine has transformed prostate cancer detection and management. This study aims to investigate the present landscape of [177 Lu]Lu-PSMA in prostate cancer, elucidating trends, global contributions, scholarly outlets, institutions, and thematic concentrations with an aim to inform forthcoming research endeavors. METHODS: We systematically probed the Scopus repository for relevant [177 Lu]Lu-PSMA literature...
January 23, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38262472/effect-of-radioiodine-treatment-on-quality-of-life-in-patients-with-subclinical-hyperthyroidism-a-prospective-controlled-study
#24
JOURNAL ARTICLE
Rolf Larisch, John E M Midgley, Johannes W Dietrich, Rudolf Hoermann
UNLABELLED: Radioiodine treatment (RIT) has a high success rate in both the treatment of hyperthyroidism and improving the quality of life (QoL) of symptomatic patients. In asymptomatic patients with subclinical hyperthyroidism thyroid related QoL outcomes are less well known. METHODS: Study aim was to evaluate thyroid-related QoL in patients with subclinical hyperthyroidism mostly due to toxic nodular goitre undergoing RIT, compared to a control group of euthyroid subjects...
January 23, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38262471/-evaluation-of-risk-analysis-in-treatment-with-unsealed-radioactive-substances-in-nuclear-medicine
#25
JOURNAL ARTICLE
Robert Freudenberg, David Kästner, Jörg Kotzerke, Claudia Brogsitter
No abstract text is available yet for this article.
January 23, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38262470/incidental-papillary-thyroid-carcinoma-detected-by-ga-68-dotatate-pet-ct-a-rare-case-study-and-clinical-considerations
#26
JOURNAL ARTICLE
Adem Maman
No abstract text is available yet for this article.
January 23, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38190998/cxcr4-targeted-theranostics-in-hematooncology-opportunities-and-challenges
#27
JOURNAL ARTICLE
Rudolf Werner, Alexander Haug, Christian Buske, Simon Heidegger, Anna L Illert, Florian Bassermann, Peter Herhaus, Andreas Buck, Johannes Duell, Max S Topp, Sabrina Kraus, Hermann Einsele, Constantin Lapa, Markus Raderer, Georg Lenz, Stefan Habringer, Bastian von Tresckow, Ulrich Keller
C-X-C motif chemokine receptor 4 (CXCR4) is overexpressed in a multitude of cancers, including neoplasms of hematopoietic origin. This feature can be leveraged by a theranostic approach, which provides a read-out of the actual CXCR4 expression in vivo, followed by CXCR4-targeted radioligand therapy (RLT) exerting anti-cancer as well as myeloablative efficacy. In a recent meeting of hematooncology and nuclear medicine specialists, statements on the current clinical practice and future perspectives of this innovative concept were proposed and summarized in this opinion article...
January 8, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38190997/predictive-factors-for-the-outcome-of-radioiodine-therapy-in-patients-with-benign-thyroid-diseases
#28
JOURNAL ARTICLE
Florian Wedel, Thomas Exarchopoulos, Winfried Brenner
PURPOSE: Radioiodine therapy (RIT) of benign thyroid diseases is an established therapy. This study aimed to identify factors predictive for outcome in patients with non-toxic goiter (NTG), unifocal (UFA), multifocal (MUFA) or diffuse autonomy (DISA) and Graves' disease (GD). METHODS: Retrospective analysis of 205 patients with benign thyroid disease (54 NTG, 46 MUFA, 24 DISA, 26 UFA, 55 GD) who underwent RIT. Follow up time was 12 months for determining treatment outcome...
January 8, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38190996/fapi-pet-ct-provides-higher-uptake-and-better-target-to-back-ground-in-recurrent-and-metastatic-tumors-of-patients-with-iodine-refractory-papillary-thyroid-cancer-compared-with-fdg-pet-ct
#29
JOURNAL ARTICLE
Shaghayegh Nourbakhsh, Yalda Salehi, Saeed Farzanehfar, Reza Ghaletaki, Mohsen Bakhshi Kashi, Mehrshad Abbasi
PURPOSE: The role of fibroblast activation protein inhibitor (FAPI) PET CT scan is not well documented in papillary thyroid cancer (PTC) patients. Patients with radioiodine refractory PTC and high thyroglobulin levels need PET/CT scan which is generally done by 18F FDG. In the current study, the diagnostic performance of 68Ga FAPI and FDG PET/CT scans were compared head to head in patients with radioiodine refractory PTC. METHOD: Fourteen patients with negative whole body Iodine scans and high thyroglobulin levels underwent whole body PET scans with, respectively, 120-310 and 145-370 MBq 68Ga FAPI-46 and 18F FDG...
January 8, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38190995/the-role-of-fdg-pet-ct-in-detecting-bone-marrow-involvement-in-childhood-solid-tumors
#30
JOURNAL ARTICLE
Esra Arslantaş, Ali Ayçiçek, Burcu Esen Akkas, Tuba Nur Tahtakesen Güçer, Sultan Okur Acar, Ayse Özkan Karagenc, Sibel Akpınar Tekgündüz, Cengiz Bayram
PURPOSE: To compare the results of 18F-Fluorodeoxy positron emission tomography/computed tomography (18 F-FDG-PET/CT) and bone marrow biopsy (BMB) procedures in the initial evaluation of bone marrow involvement (BMI) in pediatric solid tumors. METHODS: We conducted a retrospective analysis of newly diagnosed pediatric cases with lymphoma, neuroblastoma, Ewing sarcoma, rhabdomyosarcoma. Each case underwent both PET-CT imaging and BMB. Presence of tumor infiltration in BMB specimens and/or positive FDG-PET/CT findings indicate as BMI were regarded as true positive results...
January 8, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38190994/cervical-cancer-metastasis-to-the-stomach-masquerading-as-primary-gastric-cancer-a-case-report-of-a-rare-metastasis-detected-via-18f-fdg-pet-ct
#31
JOURNAL ARTICLE
Ozge Vural Topuz, Sidar Bağbudar
No abstract text is available yet for this article.
January 8, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38190993/incidental-finding-of-a-pancreatic-adenocarcinoma-on-68ga-ga-psma-11-pet-ct-in-a-mcrpc-patient-under-177lu-lu-psma-617-radioligand-therapy
#32
JOURNAL ARTICLE
Giulia Santo, Gianpaolo Di Santo, Bettina Zelger, Irene Virgolini
No abstract text is available yet for this article.
January 8, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38190992/dosimetry-in-a-patient-with-peritoneal-dialysis-treated-with-177lu-lu-psma-617
#33
JOURNAL ARTICLE
Kathrin Glass, Andreas Hendrik Hering, Alexander Heinzel
No abstract text is available yet for this article.
January 8, 2024: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/38134943/red-bull-pet-ct
#34
JOURNAL ARTICLE
Sebastian E Serfling, Andreas Buck, Steven P Rowe, Takahiro Higuchi, Rudolf Werner
We report on a patient diagnosed with Hodgkin Lymphoma who was scheduled for [18 F]FDG PET/CT as part of routine follow-up after treatment with two cycles of chemotherapy and mediastinal external beam radiation. Although the patient was advised to fast for at least four hours, an energy drink (Red Bull ) was ingested right after radiotracer administration, which led to increased uptake in the large skeletal muscles, thereby rendering this scan as non-diagnostic. After strictly following respective dietary recommendations, the repeated scan then provided excellent image quality and revealed response to treatment...
December 22, 2023: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/37995708/methodological-evaluation-of-original-articles-on-radiomics-and-machine-learning-for-outcome-prediction-based-on-positron-emission-tomography-pet
#35
JOURNAL ARTICLE
Julian Manuel Michael Rogasch, Kuangyu Shi, David Kersting, Robert Seifert
AIM: Despite a vast number of articles on radiomics and machine learning in positron emission tomography (PET) imaging, clinical applicability remains limited, partly owing to poor methodological quality. We therefore systematically investigated the methodology described in publications on radiomics and machine learning for PET-based outcome prediction. METHODS: A systematic search for original articles was run on PubMed. All articles were rated according to 17 criteria proposed by the authors...
December 2023: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/37995707/artificial-intelligence-powered-automatic-volume-calculation-in-medical-images-available-tools-performance-and-challenges-for-nuclear-medicine
#36
JOURNAL ARTICLE
Thomas Wendler, Michael C Kreissl, Benedikt Schemmer, Julian Manuel Michael Rogasch, Francesca De Benetti
Volumetry is crucial in oncology and endocrinology, for diagnosis, treatment planning, and evaluating response to therapy for several diseases. The integration of Artificial Intelligence (AI) and Deep Learning (DL) has significantly accelerated the automatization of volumetric calculations, enhancing accuracy and reducing variability and labor. In this review, we show that a high correlation has been observed between Machine Learning (ML) methods and expert assessments in tumor volumetry; Yet, it is recognized as more challenging than organ volumetry...
December 2023: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/37995706/artificial-intelligence-and-deep-learning-for-advancing-pet-image-reconstruction-state-of-the-art-and-future-directions
#37
JOURNAL ARTICLE
Dirk Hellwig, Nils Constantin Hellwig, Steven Boehner, Timo Fuchs, Regina Fischer, Daniel Schmidt
Positron emission tomography (PET) is vital for diagnosing diseases and monitoring treatments. Conventional image reconstruction (IR) techniques like filtered backprojection and iterative algorithms are powerful but face limitations. PET IR can be seen as an image-to-image translation. Artificial intelligence (AI) and deep learning (DL) using multilayer neural networks enable a new approach to this computer vision task. This review aims to provide mutual understanding for nuclear medicine professionals and AI researchers...
December 2023: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/37995705/ai-in-nuclear-medicine-a-review-of-the-current-situation
#38
JOURNAL ARTICLE
Isabelle Miederer, Julian Manuel Michael Rogasch, Thomas Wendler
No abstract text is available yet for this article.
December 2023: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/37992726/nonosseous-bone-seeking-tracer-focal-uptake-in-the-conventional-scintigraphy
#39
JOURNAL ARTICLE
Manfred Fischer, Jan Schneider-Eicke
No abstract text is available yet for this article.
November 22, 2023: Nuklearmedizin. Nuclear Medicine
https://read.qxmd.com/read/37935406/clinical-applications-of-radiomics-in-nuclear-medicine
#40
JOURNAL ARTICLE
Philipp Lohmann, Ralph Alexander Bundschuh, Isabelle Miederer, Felix M Mottaghy, Karl Josef Langen, Norbert Galldiks
Radiomics is an emerging field of artificial intelligence that focuses on the extraction and analysis of quantitative features such as intensity, shape, texture and spatial relationships from medical images. These features, often imperceptible to the human eye, can reveal complex patterns and biological insights. They can also be combined with clinical data to create predictive models using machine learning to improve disease characterization in nuclear medicine. This review article examines the current state of radiomics in nuclear medicine and shows its potential to improve patient care...
November 7, 2023: Nuklearmedizin. Nuclear Medicine
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