Association of Time Since Administration of Pegylated G-CSF (Pegfilgrastim) and Bone Marrow Uptake on FDG PET/CT: Determination of a Minimum Interval

Author(s):  
Ryogo Minamimoto ◽  
Lucia Baratto ◽  
Andrei Iagaru
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
May Sadik ◽  
Jesús López-Urdaneta ◽  
Johannes Ulén ◽  
Olof Enqvist ◽  
Armin Krupic ◽  
...  

AbstractTo develop an artificial intelligence (AI)-based method for the detection of focal skeleton/bone marrow uptake (BMU) in patients with Hodgkin’s lymphoma (HL) undergoing staging with FDG-PET/CT. The results of the AI in a separate test group were compared to the interpretations of independent physicians. The skeleton and bone marrow were segmented using a convolutional neural network. The training of AI was based on 153 un-treated patients. Bone uptake significantly higher than the mean BMU was marked as abnormal, and an index, based on the total squared abnormal uptake, was computed to identify the focal uptake. Patients with an index above a predefined threshold were interpreted as having focal uptake. As the test group, 48 un-treated patients who had undergone a staging FDG-PET/CT between 2017–2018 with biopsy-proven HL were retrospectively included. Ten physicians classified the 48 cases regarding focal skeleton/BMU. The majority of the physicians agreed with the AI in 39/48 cases (81%) regarding focal skeleton/bone marrow involvement. Inter-observer agreement between the physicians was moderate, Kappa 0.51 (range 0.25–0.80). An AI-based method can be developed to highlight suspicious focal skeleton/BMU in HL patients staged with FDG-PET/CT. Inter-observer agreement regarding focal BMU is moderate among nuclear medicine physicians.


2021 ◽  
Author(s):  
May Sadik ◽  
Jesús López-Urdaneta ◽  
Johannes Ulén ◽  
Olof Enqvist ◽  
Armin Krupic ◽  
...  

Abstract Purpose: To develop an artificial intelligence (AI)-based method for the detection of focal skeleton/bone marrow uptake (BMU) in patients with Hodgkin´s lymphoma (HL) undergoing staging with FDG-PET/CT. The results of the AI in a separate test group were compared to the interpretations of independent physicians. Methods: The skeleton and bone marrow were segmented using a convolutional neural network. The training of AI was based on 153 un-treated patients. Bone uptake significantly higher than the mean BMU was marked as abnormal, and an index, based on the total squared abnormal uptake, was computed to identify the focal uptake. Patients with an index above a predefined threshold were interpreted as having focal uptake. As the test group, 48 un-treated patients who had undergone a staging FDG-PET/CT between 2017-2018 with biopsy-proven HL were retrospectively included. Ten physicians classified the 48 cases regarding focal skeleton/BMU. Results: The majority of the physicians agreed with the AI in 39/48 cases (81%) regarding focal skeleton/bone marrow involvement. Inter-observer agreement between the physicians was moderate, Kappa 0.51 (range 0.25-0.80). Conclusion: An AI-based method can be developed to highlight suspicious focal skeleton/BMU in HL patients staged with FDG-PET/CT. Inter-observer agreement regarding focal BMU is moderate among nuclear medicine physicians.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4436-4436
Author(s):  
Manju Sengar ◽  
Hasmukh Jain ◽  
Venkatesh Rangarajan ◽  
Archi Agrawal ◽  
Hari Menon ◽  
...  

Abstract Introduction: The role of FDG PET-CT in follicular lymphoma is limited to accurate assessment of disease extent in early stage patients and selection of biopsy site in cases of suspected high- grade transformation. Despite the known FDG avidity of follicular lymphoma, FDG PET-CT has not yet been included as part of standard staging procedures in these patients. FDG PET-CT has shown significant correlation with bone marrow biopsy in Hodgkin and diffuse large B-cell lymphomas. In this retrospective analysis we have assessed the correlation of PET-CT with that of bone marrow biopsy, the reference standard for assessment of bone marrow infiltration in follicular lymphoma. Methods: We retrospectively analyzed electronic medical records and database of patients with newly diagnosed follicular lymphoma registered at Tata Memorial Centre from July 2009 to Jun 2014, who underwent complete staging workup as per the current recommendations along with whole body 18FDG-PET/CT. The demographic features, performance status, stage, LDH, nodal sites, haemoglobin, follicular lymphoma international prognostic index (FLIPI), FDG PET-CT findings (bone marrow involvement, pattern of involvement- focal or diffuse, sites of marrow involvement, liver and spleen uptake, SUVmax of most FDG avid lesion) and bone marrow aspiration/biopsy (morphology, immunohistochemistry and immunophenotyping on aspirate, where available) findings were recorded. Focal uptake in marrow on baseline PET-CT was considered as marrow involvement if post therapy PET-CT showed resolution of these lesions. The sensitivity, specificity, negative and positive predictive value of PET-CT in detecting bone marrow infiltration was assessed taking bone marrow biopsy as gold standard. The factors responsible for discordant results were analyzed. Results: A total of 54 patients (males-38, females-16) were included in analysis with median age of 50 years, (range 22-73 years). At diagnosis 83% (45 patients) had stage III or IV disease and 57% patients had high-risk FLIPI score. Approximately 88% patients had good performance status (ECOG-<2). Bone marrow showed infiltration in approximately 60% (32 patients) on biopsy and immunophenotyping. PET-CT showed bone marrow involvement in 18 patients (focal-12, diffuse -6). In 4 patients with focal PET-CT positivity, bone marrow was uninvolved. However, post therapy these lesions showed resolution, thus confirming the presence of disease pretherapy. The sensitivity, specificity, positive and negative predictive value of PET/CT with respect to biopsy was 43.7%, 81.2%, 77.8% and 50% respectively. However, if we include the above mentioned 4 cases as true positives, then specificity and positive predictive value improves to 100% each. In addition, PET-CT could accurately predict absence of bone marrow involvement in stage I and stage II disease (100% concordance). The median SUVmax of most FDG avid lesion was 13.1 (5.25-34.93). However the SUVmax did not correlate with grade of lymphoma as the node biopsy was not done based on PET-CT results. Conclusion: This study shows that in patients with advanced stage follicular lymphoma bone marrow biopsy can be omitted if PET-CT shows focal or diffuse bone marrow uptake. Similarly, patients with early stage disease with no bone marrow uptake on PET-CT can be spared from bone marrow biopsy. Disclosures No relevant conflicts of interest to declare.


2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Jun Liu ◽  
Cuicui Li ◽  
Xu Yang ◽  
Xia Lu ◽  
Mingyu Zhang ◽  
...  

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.


2008 ◽  
Vol 29 (4) ◽  
pp. 359-366 ◽  
Author(s):  
Boon-Keng Teo ◽  
Shiva Badiee ◽  
Mohiuddin Hadi ◽  
Tuwin Lam ◽  
Lauran Johnson ◽  
...  

Author(s):  
Dominic Kaddu-Mulindwa ◽  
Bettina Altmann ◽  
Gerhard Held ◽  
Stephanie Angel ◽  
Stephan Stilgenbauer ◽  
...  

Abstract Purpose Fluorine-18 fluorodeoxyglucose positron emission tomography combined with computed tomography (FDG PET/CT) is the standard for staging aggressive non-Hodgkin lymphoma (NHL). Limited data from prospective studies is available to determine whether initial staging by FDG PET/CT provides treatment-relevant information of bone marrow (BM) involvement (BMI) and thus could spare BM biopsy (BMB). Methods Patients from PETAL (NCT00554164) and OPTIMAL>60 (NCT01478542) with aggressive B-cell NHL initially staged by FDG PET/CT and BMB were included in this pooled analysis. The reference standard to confirm BMI included a positive BMB and/or FDG PET/CT confirmed by targeted biopsy, complementary imaging (CT or magnetic resonance imaging), or concurrent disappearance of focal FDG-avid BM lesions with other lymphoma manifestations during immunochemotherapy. Results Among 930 patients, BMI was detected by BMB in 85 (prevalence 9%) and by FDG PET/CT in 185 (20%) cases, for a total of 221 cases (24%). All 185 PET-positive cases were true positive, and 709 of 745 PET-negative cases were true negative. For BMB and FDG PET/CT, sensitivity was 38% (95% confidence interval [CI]: 32–45%) and 84% (CI: 78–88%), specificity 100% (CI: 99–100%) and 100% (CI: 99–100%), positive predictive value 100% (CI: 96–100%) and 100% (CI: 98–100%), and negative predictive value 84% (CI: 81–86%) and 95% (CI: 93–97%), respectively. In all of the 36 PET-negative cases with confirmed BMI patients had other adverse factors according to IPI that precluded a change of standard treatment. Thus, the BMB would not have influenced the patient management. Conclusion In patients with aggressive B-cell NHL, routine BMB provides no critical staging information compared to FDG PET/CT and could therefore be omitted. Trial registration NCT00554164 and NCT01478542


2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Liyan Wan ◽  
Yuting Gao ◽  
Jieyu Gu ◽  
Huihui Chi ◽  
Zhihong Wang ◽  
...  

Abstract Background To investigate the potential utility of quantitative parameters obtained by 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in the assessment of disease severity and the occurrence of macrophage activation syndrome (MAS) in adult-onset Still’s disease (AOSD). Methods Fifty-seven patients with AOSD who underwent pre-treatment 18F-FDG PET/CT were recruited in this study and compared with 60 age- and sex-matched healthy controls. Clinical features and laboratory data were recorded. The systemic score was assessed to determine the disease severity. The maximal standardized uptake value (SUVmax), metabolic lesion volume (MLV), and total lesion glycolysis (TLG) were used to evaluate the involved organs and tissues that abnormally accumulated 18F-FDG. Multivariate analysis was performed to identify the PET/CT-derived risk factors contributing to the AOSD-related MAS, and their diagnostic efficiency was evaluated. Results High 18F-FDG accumulation was observed in the bone marrow (SUVmax median, 5.10), spleen (SUVmax median, 3.70), and lymph nodes (LNs, SUVmax median, 5.55). The SUVmax of the bone marrow (rho = 0.376, p = 0.004), SUVmax of the spleen (rho = 0.450, p < 0.001), TLGtotal of LNs (rho = 0.386, p = 0.017), and MLVtotal of LNs (rho = 0.391, p = 0.015) were correlated with the systemic score. The SUVmax of the spleen (p = 0.017), TLGtotal of LNs (p = 0.045), and MLVtotal of LNs (p = 0.012) were higher in patients with MAS than in those without MAS. A MLVtotal of LNs > 62.2 (OR 27.375, p = 0.042) was an independent predictive factor for MAS with a sensitivity of 80.0% and a specificity of 93.9%. Conclusions The glucose metabolic level of the spleen could be an effective and easy-to-use imaging indicator of disease severity, and MLVtotal of LNs > 62.2 was a strong predictor of MAS occurrence in patients with AOSD.


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