Background Detectable uptake of 68Ga-PSMA-ligands in sympathetic ganglia may potentially lead to mistaking them for malignant lesions. Our aim was to investigate the anatomy of cervico-thoracic-ganglia-complex (CTG-C) in the MR part of multimodal 68Ga-PSMA-11 PET/MR imaging, in view of PET factors hindering its proper identification. Patients and methods In 106 patients, 212 sites of the CTG-C were retrospectively reviewed to assess the radiotracer uptake (SUVmax), size, shape, position, symmetry of location and visual uptake intensity. Asymmetry of PSMA-ligand uptake and increased uptake were regarded as risk factors of malignancy. Results In 66.0% left (L) and 53.8% right (R) CTG-C we noticed configurations, resembling the shape of an exclamation-mark, a question-mark, or its part (called "typical"). Tumor-like CTG-C shapes (oval, binodular or longitudinal) were detected in 28.3% L-CTG-C and in 40.6% R-CTG-C. When visual assessment of PET suggested malignancy, the recognition of "typical" shape of underlying CTG-C on MR generated a rise in the accuracy of their proper identification (from 34.4% to 75%, χ2(1) = 70.4; p < 0.001). Recognizing the shape of the CTG-C as "typical" in MR allowed us to classify as "not-suspicious" 61.9% of all CTG-C which were treated as "suspicious" after sole PET assessment. Conclusions The characteristic shape of cervico-thoracic-ganglia-complex (resembling a question-mark, or its part) helps in proper recognition of CTG-C on multimodal whole-body 68Ga-PSMA-ligand PET/MR imaging, when detectable uptake might lead to considering pathology.
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http://dx.doi.org/10.2478/raon-2019-0052 | DOI Listing |
Cancer Imaging
November 2024
Department of Radiology, Fudan University Shanghai Cancer Center and Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dongan Rd, Shanghai, 200032, People's Republic of China.
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EFORT Open Rev
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Department of Orthopedics and Orthopedic Oncology, University of Padova, Padova, Italy.
Tumors of the foot are a heterogeneous group of neoplasms that either affect soft tissues or bone, with a predominance being benign. Mistakes in the diagnosis of neoplastic conditions are common. A correct diagnostic approach supported by radiological and histological examination is mandatory.
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In radiology, particularly in lung cancer diagnosis, diagnostic errors and cognitive biases pose substantial challenges. These issues, including perceptual errors, interpretive mistakes, and cognitive biases such as anchoring and premature closure, are often unnoticed by experienced radiologists. To address these challenges, we propose the Multi-Eyes principle approach, which utilises multiple deep learning models to reduce bias and potentially improve diagnostic accuracy.
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Adult Nursing Department, College of Nursing, University of Baghdad, Iraq.
Cancer Prev Res (Phila)
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Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas.
Currently, eight million people in the United States suffer from cancer and it is a major global health concern. Early detection and interventions are urgently needed for all cancers, including colorectal cancer. Colorectal cancer is the third most common type of cancer worldwide.
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