Imaging myeloma and related monoclonal plasma cell disorders using MRI, low-dose whole-body CT and FDG PET/CT

2015 ◽  
Vol 3 (2) ◽  
pp. 95-109
Author(s):  
N. Withofs ◽  
C. Nanni ◽  
P. Simoni ◽  
S. Fanti ◽  
Y. Beguin ◽  
...  
Keyword(s):  
Plasma Cell ◽  
Fdg Pet ◽  
Low Dose ◽  
Whole Body ◽  
Whole Body Ct ◽  
Pet Ct ◽  
Plasma Cell Disorders ◽  
Fdg Pet Ct ◽  
Body Ct

scholarly journals Primary Central Nervous System Lymphoma: Diagnostic Yield of Whole-Body CT and FDG PET/CT for Initial Systemic Imaging

Radiology ◽  
2019 ◽  
Vol 292 (2) ◽  
pp. 440-446 ◽  
Author(s):  
Chong Hyun Suh ◽  
Ho Sung Kim ◽  
Ji Eun Park ◽  
Seung Chai Jung ◽  
Choong Gon Choi ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Fdg Pet ◽  
Diagnostic Yield ◽  
Central Nervous System Lymphoma ◽  
Whole Body ◽  
Whole Body Ct ◽  
Pet Ct ◽  
Fdg Pet Ct ◽  
Body Ct

Very low-dose adult whole-body tumor imaging with F-18 FDG PET/CT

2015 ◽  
Author(s):  
Andrzej Krol ◽  
Muhammad Naveed ◽  
Mary McGrath ◽  
Michele Lisi ◽  
Cathy Lavalley ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Low Dose ◽  
Tumor Imaging ◽  
Whole Body ◽  
Pet Ct ◽  
Fdg Pet Ct

Ultra-low dose whole-body CT for attenuation correction in a dual tracer PET/CT protocol for multiple myeloma

2021 ◽  
Vol 84 ◽  
pp. 1-9
Author(s):  
Elena Prieto ◽  
María José García-Velloso ◽  
Jesús Dámaso Aquerreta ◽  
Juan José Rosales ◽  
Juan Fernando Bastidas ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Attenuation Correction ◽  
Low Dose ◽  
Whole Body ◽  
Whole Body Ct ◽  
Pet Ct ◽  
Ct Protocol ◽  
Dual Tracer ◽  
Body Ct

scholarly journals A First Report on [18F]FPRGD2 PET/CT Imaging in Multiple Myeloma

2017 ◽  
Vol 2017 ◽  
pp. 1-7
Author(s):  
Nadia Withofs ◽  
François Cousin ◽  
Bernard De Prijck ◽  
Christophe Bonnet ◽  
Roland Hustinx ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Fdg Pet ◽  
Low Dose ◽  
Bone Lesion ◽  
Bone Destruction ◽  
Whole Body ◽  
Newly Diagnosed ◽  
Low Dose Ct ◽  
Pet Ct ◽  
Fdg Pet Ct

An observational study was set up to assess the feasibility of [F18]FPRGD2 PET/CT for imaging patients with multiple myeloma (MM) and to compare its detection rate with low dose CT alone and combined [F18]NaF/[F18]FDG PET/CT images. Four patients (2 newly diagnosed patients and 2 with relapsed MM) were included and underwent whole-body PET/CT after injection of [F18]FPRGD2. The obtained images were compared with results of low dose CT and already available results of a combined [F18]NaF/[F18]FDG PET/CT. In total, 81 focal lesions (FLs) were detected with PET/CT and an underlying bone destruction or fracture was seen in 72 (89%) or 8 (10%) FLs, respectively. Fewer FLs (54%) were detected by [F18]FPRGD2 PET/CT compared to low dose CT (98%) or [F18]NaF/[F18]FDG PET/CT (70%) and all FLs detected with [F18]FPRGD2 PET were associated with an underlying bone lesion. In one newly diagnosed patient, more [F18]FPRGD2 positive lesions were seen than [F18]NaF/[F18]FDG positive lesions. This study suggests that [F18]FPRGD2 PET/CT might be less useful for the detection of myeloma lesions in patients with advanced disease as all FLs with [F18]FPRGD2 uptake were already detected with CT alone.

scholarly journals Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Sabri Eyuboglu ◽  
Geoffrey Angus ◽  
Bhavik N. Patel ◽  
Anuj Pareek ◽  
Guido Davidzon ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Location Estimation ◽  
Supervised Machine Learning ◽  
Whole Body ◽  
Free Text ◽  
Abnormality Detection ◽  
Weak Supervision ◽  
Radiology Reports ◽  
Pet Ct ◽  
Fdg Pet Ct

AbstractComputational decision support systems could provide clinical value in whole-body FDG-PET/CT workflows. However, limited availability of labeled data combined with the large size of PET/CT imaging exams make it challenging to apply existing supervised machine learning systems. Leveraging recent advancements in natural language processing, we describe a weak supervision framework that extracts imperfect, yet highly granular, regional abnormality labels from free-text radiology reports. Our framework automatically labels each region in a custom ontology of anatomical regions, providing a structured profile of the pathologies in each imaging exam. Using these generated labels, we then train an attention-based, multi-task CNN architecture to detect and estimate the location of abnormalities in whole-body scans. We demonstrate empirically that our multi-task representation is critical for strong performance on rare abnormalities with limited training data. The representation also contributes to more accurate mortality prediction from imaging data, suggesting the potential utility of our framework beyond abnormality detection and location estimation.

Evaluation of 18 F-FDG PET/MRI, 18 F-FDG PET/CT, MRI, and CT in whole-body staging of recurrent breast cancer

2016 ◽  
Vol 85 (2) ◽  
pp. 459-465 ◽  
Author(s):  
Lino M. Sawicki ◽  
Johannes Grueneisen ◽  
Benedikt M. Schaarschmidt ◽  
Christian Buchbender ◽  
James Nagarajah ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Fdg Pet ◽  
Recurrent Breast Cancer ◽  
Whole Body ◽  
Pet Ct ◽  
Recurrent Breast ◽  
Fdg Pet Ct

scholarly journals Traumatic myositis ossificans: multifocal lesions suggesting malignancy on FDG-PET/CT—a case report

2020 ◽  
Vol 50 (1) ◽  
pp. 249-254
Author(s):  
Miho Sasaki ◽  
Yuka Hotokezaka ◽  
Reiko Ideguchi ◽  
Masataka Uetani ◽  
Shuichi Fujita
Keyword(s):  
Case Report ◽  
Fdg Pet ◽  
Myositis Ossificans ◽  
Whole Body ◽  
Left Cheek ◽  
Multiple Fractures ◽  
Fdg Uptake ◽  
Pet Ct ◽  
Multiple Regions ◽  
Fdg Pet Ct

AbstractMyositis ossificans (MO) is a benign soft-tissue lesion characterized by the heterotopic formation of the bone in skeletal muscles, usually due to trauma. MO is occasionally difficult to diagnose because of its clinical and radiological similarities with malignancy. We report a case of traumatic MO (TMO) in the masseter and brachial muscles of a 37-year-old man who presented with painless swelling in the left cheek and severe trismus. Due to the absence of a traumatic history at the first consultation and identification of a tumorous lesion in the left masseter muscle by magnetic resonance imaging (MRI), the lesion was suspected to be a malignant tumor. Subsequently, 18F-fluorodeoxyglucose positron-emission tomography/computed tomography (FDG-PET/CT) showed multiple regions of high FDG uptake across the whole body, suggestive of multiple metastases or other systemic diseases. However, intramuscular calcifications were also observed in the left masseter and brachial muscles, overlapping the areas with high FDG uptake. Moreover, multiple fractures were seen in the rib and lumbar spine, also overlapping the areas with high FDG uptake. Based on these imaging findings, along with a history of jet-ski trauma, TMO was suspected. The left cheek mass was surgically excised and histologically diagnosed as TMO. In this case report, FDG-PET/CT could detect multiple TMOs across the whole body. To the best of our knowledge, cases of multiple TMOs located far apart in different muscles are rare, and this may be the first report.

Low positive yield from routine inclusion of the brain in whole-body 18F-FDG PET/CT imaging for noncerebral malignancies

2013 ◽  
Vol 34 (6) ◽  
pp. 540-543 ◽  
Author(s):  
Kuruva Manohar ◽  
Anish Bhattacharya ◽  
Bhagwant R. Mittal
Keyword(s):  
Fdg Pet ◽  
Ct Imaging ◽  
Whole Body ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct ◽  
The Brain
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