scholarly journals Physiological uterine uptake of 68Ga-FAPI-04 may limit its application in uterine pathology

2021 ◽  
Author(s):  
Xiao Zhang ◽  
Wenyu Song ◽  
Chunxia Qin ◽  
Yangmeihui Song ◽  
Fang Liu ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Uterine Fibroids ◽  
Reproductive Age ◽  
Whole Body ◽  
Imaging Features ◽  
Childbearing Age ◽  
Female Patients ◽  
Pet Ct ◽  
Fdg Pet Ct ◽  
Uterine Volume

Abstract Purpose68Ga-labeled fibroblast activation protein inhibitor (68Ga-FAPI) has been useful in the imaging of desmoplastic reaction in different tumors, as well as fibrosis in inflammatory diseases. As we have found that most female patients showed avid uterine uptake of 68Ga-FAPI, we sought to further investigate the physiological uptake of 68Ga-FAPI by the uterus and analyze its characteristics in women of childbearing age, in perimenopause, and postmenopause.MethodsWe retrospectively reviewed the image data of female patients who had undergone whole-body 68Ga-FAPI-04 PET/MRI at our institute between May 22 and December 16, 2020. The clinical information of the patients, including age, stage of menstrual cycle if present, and gynecologic history, was collected. Uterine volume was calculated from MR images. The characteristics of 68Ga-FAPI-04 uterine uptake were recorded. If the patients also had undergone 18F-FDG PET/CT imaging, those image features were also recorded. The relationship of age, uterine size, surgical history, presence of leiomyomas, and 18F-FDG uptake to 68Ga-FAPI-04 uptake were further analyzed.ResultsForty-three female patients were included in this study. The number of cases with uterine malignancy and non-malignancy were two and 41, respectively. Twenty-seven patients in the benign disease group underwent simultaneous 18F-FDG PET/CT scans. Of 41 patients with benign uterine pathology, 13 patients were of reproductive age, six were perimenopausal, and 22 were postmenopausal. A total of 25 patients had undergone invasive operations, and six patients had uterine fibroids under examination. Lower 68Ga-FAPI-04 uptake (6.58 ± 3.39, n = 22) was noted in postmenopausal women than in reproductive and perimenopausal females (13.32 ± 3.2 and 12.98 ± 3.01, respectively, P < 0.05). The invasive operation or accompany with uterine fibroids may increase 68Ga-FAPI-04 uptake. 68Ga-FAPI-04 uptake was also associated with uterine volume (P < 0.01). There was no correlation between 18F-FDG and 68Ga-FAPI-04 accumulation in the uterus. Two patients with malignant lesions involving the uterus showed completely different imaging features on 68Ga-FAPI-04.ConclusionPhysiological uterine uptake of 68Ga-FAPI-04 limits its diagnostic value in gynecologic diseases. Age, uterine fibroids and uterine volume may influence the uptake of 68Ga-FAPI-04 in uterus. More patients with various uterine diseases could be involved to provide more differential diagnostic information.Clinical Trial RegistrationNCT04605939 and NCT04554719.

scholarly journals Whole-body staging of female patients with recurrent pelvic malignancies: Ultra-fast 18F-FDG PET/MRI compared to 18F-FDG PET/CT and CT

PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0172553 ◽  
Author(s):  
Julian Kirchner ◽  
Lino Morris Sawicki ◽  
Saravanabavaan Suntharalingam ◽  
Johannes Grueneisen ◽  
Verena Ruhlmann ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Whole Body ◽  
Female Patients ◽  
Pelvic Malignancies ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

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.

scholarly journals Correlation of 18F-FDG PET/CT SUVmax with clinical features, D-dimer and LDH in patients with primary intestinal lymphoma

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110298
Author(s):  
Shuo Zhou ◽  
Wenxin Chen ◽  
Meifu Lin ◽  
Guobao Chen ◽  
Cailong Chen ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Clinical Staging ◽  
Imaging Features ◽  
Intestinal Lymphoma ◽  
Ki 67 ◽  
Positive Correlation ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct ◽  
D Dimer

Objective To investigate the characteristics of fluorine-18-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) maximum standardized uptake value (SUVmax) in primary intestinal lymphoma (PIL) and its correlation with D-dimer and lactate dehydrogenase (LDH). Methods Fifty-two patients diagnosed with PIL from June 2016 to December 2019 were analyzed. All patients underwent 18F-FDG PET/CT. The relationships between SUVmax and different pathological subtypes, clinical stages and risk grades were analyzed. The correlations between SUVmax and Ki-67, LDH and D-dimer were determined. Additionally, PET/CT imaging results were collected from 35 patients with primary intestinal cancer (PIC) and compared with the imaging features of PIL. Results SUVmax was significantly different between PIL and PIC groups and various PIL pathological subgroups. Patients in the high-risk PIL group had markedly higher SUVmax values than the intermediate-risk and low-risk groups. A significant positive correlation was observed between SUVmax and Ki-67 in patients with PIL. SUVmax was significantly different between the elevated and normal D-dimer groups. D-dimer showed a positive correlation with SUVmax. Conclusion 18F-FDG PET/CT SUVmax reflects the aggressiveness of lymphoma to a certain degree, is correlated with Ki-67 and determines the risk grades of PIL. Moreover, it facilitates differential diagnosis, clinical staging and treatment based on D-dimer levels.

scholarly journals Automated quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric Hodgkin lymphoma patients

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Amy J. Weisman ◽  
Jihyun Kim ◽  
Inki Lee ◽  
Kathleen M. McCarten ◽  
Sandy Kessel ◽  
...  
Keyword(s):  
Hodgkin Lymphoma ◽  
Correlation Coefficient ◽  
Pet Imaging ◽  
Fdg Pet ◽  
Relative Difference ◽  
Ct Images ◽  
Imaging Features ◽  
Pediatric Hodgkin Lymphoma ◽  
Pet Ct ◽  
Fdg Pet Ct

Abstract Purpose For pediatric lymphoma, quantitative FDG PET/CT imaging features such as metabolic tumor volume (MTV) are important for prognosis and risk stratification strategies. However, feature extraction is difficult and time-consuming in cases of high disease burden. The purpose of this study was to fully automate the measurement of PET imaging features in PET/CT images of pediatric lymphoma. Methods 18F-FDG PET/CT baseline images of 100 pediatric Hodgkin lymphoma patients were retrospectively analyzed. Two nuclear medicine physicians identified and segmented FDG avid disease using PET thresholding methods. Both PET and CT images were used as inputs to a three-dimensional patch-based, multi-resolution pathway convolutional neural network architecture, DeepMedic. The model was trained to replicate physician segmentations using an ensemble of three networks trained with 5-fold cross-validation. The maximum SUV (SUVmax), MTV, total lesion glycolysis (TLG), surface-area-to-volume ratio (SA/MTV), and a measure of disease spread (Dmaxpatient) were extracted from the model output. Pearson’s correlation coefficient and relative percent differences were calculated between automated and physician-extracted features. Results Median Dice similarity coefficient of patient contours between automated and physician contours was 0.86 (IQR 0.78–0.91). Automated SUVmax values matched exactly the physician determined values in 81/100 cases, with Pearson’s correlation coefficient (R) of 0.95. Automated MTV was strongly correlated with physician MTV (R = 0.88), though it was slightly underestimated with a median (IQR) relative difference of − 4.3% (− 10.0–5.7%). Agreement of TLG was excellent (R = 0.94), with median (IQR) relative difference of − 0.4% (− 5.2–7.0%). Median relative percent differences were 6.8% (R = 0.91; IQR 1.6–4.3%) for SA/MTV, and 4.5% (R = 0.51; IQR − 7.5–40.9%) for Dmaxpatient, which was the most difficult feature to quantify automatically. Conclusions An automated method using an ensemble of multi-resolution pathway 3D CNNs was able to quantify PET imaging features of lymphoma on baseline FDG PET/CT images with excellent agreement to reference physician PET segmentation. Automated methods with faster throughput for PET quantitation, such as MTV and TLG, show promise in more accessible clinical and research applications.

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.

scholarly journals FDG PET/CT imaging features and clinical utility in COVID-19

2021 ◽  
Author(s):  
Randy Yeh ◽  
Ahmed Elsakka ◽  
Rick Wray ◽  
Rocio Perez Johnston ◽  
Natalie C. Gangai ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Clinical Utility ◽  
Ct Imaging ◽  
Imaging Features ◽  
Pet Ct ◽  
Fdg Pet Ct

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

scholarly journals Comparison of the diagnostic performance and impact on management of 18F-FDG PET/CT and whole-body MRI in multiple myeloma

2021 ◽  
Author(s):  
Olwen Westerland ◽  
◽  
Ashik Amlani ◽  
Christian Kelly-Morland ◽  
Michal Fraczek ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Clinical Data ◽  
Bone Disease ◽  
Fdg Pet ◽  
Diagnostic Performance ◽  
Whole Body ◽  
Bone Lesions ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

Abstract Purpose Comparative data on the impact of imaging on management is lacking for multiple myeloma. This study compared the diagnostic performance and impact on management of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and whole-body magnetic resonance imaging (WBMRI) in treatment-naive myeloma. Methods Forty-six patients undergoing 18F-FDG PET/CT and WBMRI were reviewed by a nuclear medicine physician and radiologist, respectively, for the presence of myeloma bone disease. Blinded clinical and imaging data were reviewed by two haematologists in consensus and management recorded following clinical data ± 18F-FDG PET/CT or WBMRI. Bone disease was defined using International Myeloma Working Group (IMWG) criteria and a clinical reference standard. Per-patient sensitivity for lesion detection was established. McNemar test compared management based on clinical assessment ± 18F-FDG PET/CT or WBMRI. Results Sensitivity for bone lesions was 69.6% (32/46) for 18F-FDG PET/CT (54.3% (25/46) for PET component alone) and 91.3% (42/46) for WBMRI. 27/46 (58.7%) of cases were concordant. In 19/46 patients (41.3%) WBMRI detected more focal bone lesions than 18F-FDG PET/CT. Based on clinical data alone, 32/46 (69.6%) patients would have been treated. Addition of 18F-FDG PET/CT to clinical data increased this to 40/46 (87.0%) patients (p = 0.02); and WBMRI to clinical data to 43/46 (93.5%) patients (p = 0.002). The difference in treatment decisions was not statistically significant between 18F-FDG PET/CT and WBMRI (p = 0.08). Conclusion Compared to 18F-FDG PET/CT, WBMRI had a higher per patient sensitivity for bone disease. However, treatment decisions were not statistically different and either modality would be appropriate in initial staging, depending on local availability and expertise.

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