Aggressive systemic mastocytosis with diffuse bone marrow 18F-FDG uptake

2021 ◽  
Author(s):  
Renata Koukalová ◽  
Jiří Vašina ◽  
Jiří Štika ◽  
Michael Doubek ◽  
Petr Szturz
Keyword(s):  
Bone Marrow ◽  
Digestive System ◽  
Systemic Mastocytosis ◽  
Primary Tumour ◽  
Bone Marrow Involvement ◽  
Abdominal Ct ◽  
Splenic Parenchyma ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

AbstractMastocytosis is a clonal hematopoietic disorder characterized by proliferation of abnormal mast cells in various organs including the skin, digestive system, lymph nodes, and bone marrow. We report on a 75-year-old woman presenting with abdominal pain, vomiting, diarrhoea, myalgia, and weight loss. Abdominal CT showed hepatosplenomegaly with heterogeneous splenic parenchyma, lymphadenopathy, and osteopenia with areas of osteosclerosis but no primary tumour. An 18F-FDG PET/CT revealed an overall low metabolic activity of the lesions with a diffuse bone marrow involvement raising suspicion of a haematological neoplasm. Subsequently, bone marrow and peripheral blood examinations confirmed the diagnosis of aggressive systemic mastocytosis.

scholarly journals [18F]FDG-PET/CT Radiomics for Prediction of Bone Marrow Involvement in Mantle Cell Lymphoma: A Retrospective Study in 97 Patients

Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1138 ◽  
Author(s):  
Marius E. Mayerhoefer ◽  
Christopher C. Riedl ◽  
Anita Kumar ◽  
Ahmet Dogan ◽  
Peter Gibbs ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Fdg Pet ◽  
Cell Lymphoma ◽  
Bone Marrow Involvement ◽  
Laboratory Data ◽  
Texture Features ◽  
Pet Ct ◽  
Mantle Cell ◽  
18F Fdg ◽  
Fdg Pet Ct

Biopsy is the standard for assessment of bone marrow involvement in mantle cell lymphoma (MCL). We investigated whether [18F]FDG-PET radiomic texture features can improve prediction of bone marrow involvement in MCL, compared to standardized uptake values (SUV), and whether combination with laboratory data improves results. Ninety-seven MCL patients were retrospectively included. SUVmax, SUVmean, SUVpeak and 16 co-occurrence matrix texture features were extracted from pelvic bones on [18F]FDG-PET/CT. A multi-layer perceptron neural network was used to compare three combinations for prediction of bone marrow involvement—the SUVs, a radiomic signature based on SUVs and texture features, and the radiomic signature combined with laboratory parameters. This step was repeated using two cut-off values for relative bone marrow involvement: REL > 5% (>5% of red/cellular bone marrow); and REL > 10%. Biopsy demonstrated bone marrow involvement in 67/97 patients (69.1%). SUVs, the radiomic signature, and the radiomic signature with laboratory data showed AUCs of up to 0.66, 0.73, and 0.81 for involved vs. uninvolved bone marrow; 0.68, 0.84, and 0.84 for REL ≤ 5% vs. REL > 5%; and 0.69, 0.85, and 0.87 for REL ≤ 10% vs. REL > 10%. In conclusion, [18F]FDG-PET texture features improve SUV-based prediction of bone marrow involvement in MCL. The results may be further improved by combination with laboratory parameters.

The Value of 18F-FDG PET/CT in Detecting Bone Marrow Involvement in Childhood Cancers

2019 ◽  
Vol 41 (6) ◽  
pp. 438-441 ◽  
Author(s):  
Begül Yağci-Küpeli ◽  
Emel Koçyiğit-Deveci ◽  
Fulya Adamhasan ◽  
Serhan Küpeli
Keyword(s):  
Bone Marrow ◽  
Fdg Pet ◽  
Bone Marrow Involvement ◽  
Childhood Cancers ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

scholarly journals 18F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia

Theranostics ◽  
2019 ◽  
Vol 9 (16) ◽  
pp. 4730-4739 ◽  
Author(s):  
Hebei Li ◽  
Chongrui Xu ◽  
Bowen Xin ◽  
Chaojie Zheng ◽  
Yunyun Zhao ◽  
...  
Keyword(s):  
Machine Learning ◽  
Bone Marrow ◽  
Acute Leukemia ◽  
Fdg Pet ◽  
Bone Marrow Involvement ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

scholarly journals The Diagnostic Value of 18F-FDG PET/CT Bone Marrow Uptake Pattern in Detecting Bone Marrow Involvement in Pediatric Neuroblastoma Patients

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Jun Liu ◽  
Cuicui Li ◽  
Xu Yang ◽  
Xia Lu ◽  
Mingyu Zhang ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Predictive Value ◽  
Fdg Pet ◽  
Bone Marrow Involvement ◽  
Diagnostic Value ◽  
Bone Marrow Uptake ◽  
Uptake Pattern ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

Objectives. To explore the diagnostic value of 18F-FDG PET/CT bone marrow uptake pattern (BMUP) in detecting bone marrow involvement (BMI) in pediatric neuroblastoma (NB) patients. Methods. Ninety-eight NB patients were enrolled in BMI analysis. Four patterns of bone marrow uptake were categorized based on pretreatment cF-FDG PET/CT images. Some crucial inspection indexes and 18F-FDG PET/CT metabolic parameters were analyzed. The BMUP was divided into BMUP1, BMUP2, BMUP3, and BMUP4. Paired-like homeobox 2b (PHOX2B) of bone marrow and blood, bone marrow biopsy (BMB) result, and 18F-FDG PET/CT were compared to detect BMI. All patients were followed up for at least six months. Results. BMUP had excellent consistency among different physicians. Kappa coefficients of two residents and two attending physicians and between the resident and attending physician, were 0.857, 0.891, and 0.845, respectively. The optimal cut-off value of SUVmax-Bone/Liver was 2.08 to diagnose BMI for BMUP3 patients, and the area under curve (AUC) was 0.873. AUC of PHOX2B of bone marrow (PHOX2B of BM), PHOX2B of blood, BMB, and 18F-FDG PET/CT were 0.916, 0.811, 0.806, and 0.904, respectively. There was no significant difference between PHOX2B of BM and PET/CT. Positive predictive value, negative predictive value, sensitivity, and specificity in diagnosis of BMI were 92.9%, 92.9%, 97.0%, and 83.9% for PET/CT and 96.7%, 80.6%, 89.6%, and 93.5% for PHOX2B of BM, respectively. Conclusions. BMUP of pretreatment 18F-FDG PET/CT is a simple and practical method, which has a relatively high diagnostic efficiency in detecting BMI and might decrease unnecessary invasive inspections in some pediatric NB patients.

scholarly journals 18F-FDG PET-CT and trephine biopsy assessment of bone marrow involvement in lymphoma

2016 ◽  
Vol 174 (3) ◽  
pp. 410-416 ◽  
Author(s):  
Chaitra S. Ujjani ◽  
Elizabeth M. Hill ◽  
Hongkun Wang ◽  
Samer Nassif ◽  
Giuseppe Esposito ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Fdg Pet ◽  
Bone Marrow Involvement ◽  
Trephine Biopsy ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct
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