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1.
Curr Pharm Des ; 30(10): 798-806, 2024.
Article in English | MEDLINE | ID: mdl-38454762

ABSTRACT

BACKGROUND: The unexpected detection of axillary lymphadenopathy (AxL) in cancer patients (pts) represents a real concern during the COVID-19 vaccination era. Benign reactions may take place after vaccine inoculation, which can mislead image interpretation in patients undergoing F-18-FDG, F-18-Choline, and Ga-68-DOTATOC PET/CT. They may also mimic loco-regional metastases or disease. We assessed PET/CT findings after COVID-19 first dose vaccination in cancer patients and the impact on their disease course management. METHODS: We evaluated 333 patients undergoing PET/CT (257 F-18-FDG, 54 F-18-Choline, and 23 Ga-68 DOTATOC) scans after the first vaccination with mRNA vaccine (Pfizer-BioNTech) (study group; SG). The uptake index (SUVmax) of suspected AxL was defined as significant when the ratio was > 1.5 as compared to the contralateral lymph nodes. Besides, co-registered CT (Co-CT) features of target lymph nodes were evaluated. Nodes with aggregate imaging positivity were further investigated. RESULTS: Overall, the prevalence of apparently positive lymph nodes on PET scans was 17.1% during the vaccination period. 107 pts of the same setting, who had undergone PET/CT before the COVID-19 pandemic, represented the control group (CG). Only 3 patients of CG showed reactive lymph nodes with a prevalence of 2.8% (p < 0.001 as compared to the vaccination period). 84.2% of SG patients exhibited benign characteristics on co-CT images and only 9 pts needed thorough appraisal. CONCLUSION: The correct interpretation of images is crucial to avoid unnecessary treatments and invasive procedures in vaccinated cancer pts. A detailed anamnestic interview and the analysis of lymph nodes' CT characteristics, after performing PET/CT, may help to clear any misleading diagnosis.


Subject(s)
COVID-19 Vaccines , COVID-19 , Lymph Nodes , Neoplasms , Positron Emission Tomography Computed Tomography , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Axilla/diagnostic imaging , COVID-19/prevention & control , COVID-19 Vaccines/administration & dosage , Fluorodeoxyglucose F18 , Lymph Nodes/diagnostic imaging , Lymph Nodes/pathology , Lymphadenopathy/diagnostic imaging , Neoplasms/diagnostic imaging , Radiopharmaceuticals , Retrospective Studies , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification , Vaccination
2.
Cancer Control ; 30: 10732748231152328, 2023.
Article in English | MEDLINE | ID: mdl-36714951

ABSTRACT

BACKGROUND: We retrospectively aimed to assess the prognostic significance of somatostatin receptor (SSTR) standardized uptake value (SUVmaxsstr), SSTR representative tumor volume (RTVsstr) and total lesion SSTR expression (TLsstr) obtained by [68Ga]Ga-edotreotide PET/CT ([68Ga]Ga-SSTR PET/CT) in patients with primary gastroenteropancreatic neuroendocrine tumors (GEP-NET) before surgery. MATERIAL AND METHODS: We analyzed patients who underwent [68Ga]Ga-SSTR PET/CT 3-6 weeks before surgery from February 2020 to April 2022. The mean SUVmaxsstr value, the RTVsstr (cm3; 42% threshold) and the TLsstr (g) were registered. Thereafter the patients were followed up 10.3 months (range 3-27). The PET/CT results were compared to the event free survival (EFS). RESULTS: Forty-two patients (61 ± 13 years) have been enrolled. At multivariate analysis only RTVsstr values were predictive. The Kaplan-Meier survival analysis for RTVsstr showed a significant better EFS in patients presenting lower values as compared to those having greater (P = .003, log-rank test). SUVmaxsstr was not suitable for predicting EFS, TLsstr mildly. CONCLUSION: RTVsstr represents a valuable volumetric parameter able to predict the outcome in GEP-NET patients who underwent surgery. The magnitude of the SSTR representative tumor burden holds a predominant value for determining the response to therapy in GEP-NET patients before surgery, rather than the maximal SSTR representation at single voxel.


Subject(s)
Neuroendocrine Tumors , Positron Emission Tomography Computed Tomography , Humans , Positron Emission Tomography Computed Tomography/methods , Receptors, Somatostatin/metabolism , Neuroendocrine Tumors/diagnostic imaging , Neuroendocrine Tumors/surgery , Gallium Radioisotopes , Tumor Burden , Retrospective Studies , Positron-Emission Tomography/methods
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