scholarly journals Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT

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.


QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Madonna Adel Mikhail Ghaly ◽  
Aida Mohamed El Shibiny ◽  
Susan Adil Ali Abdul Rahim

Abstract Background 18-F-2-Deoxy-D-Glucose Positron Emission Tomography [FDG-PET], combined with multidetector helical Computed Tomography [PET/CT] has emerged as a one of the most important prognostic tools for lymphoma management. Previous studies have indicated that PET/CT is a convenient method for bone marrow assessment in patients with lymphoma. A blind Bone Marrow Biopsy [BMB] has been traditionally used as the golden standard in marrow evaluation despite its invasiveness. Objective is to compare the results of PET/CT with BMB regarding bone marrow infiltration [BMI] in patients with Hodgkin's Lymphoma [HL] and Non-Hodgkin's Lymphoma [NHL] and to characterize the visual bone marrow FDG uptake pattern by PET-CT Methods A cross sectional study including 27 cases of Lymphoma, conducted at Ain Shams University hospitals, the patients were investigated using PET-CT scan and BMB ,the period was between December 2018 till the end of May 2019. Results Our study included 27 histologically proved Lymphoma patients, 14 (51.9%) were males and 13 (48.1%) were females, with age ranging from 17 to 69 years (mean 45 years). Among the total cases, 17 (63%) patients had NHL, while 10 (37%) patients had HL. All the patients were evaluated at first by BMB (taken from the dorsal portion of the iliac crest) for initial staging, then the patients underwent PET/CT scan. The study revealed 12 patients (44.4%) had BMI detected by PET/CT imaging; however, only 7 patients (25.9%) were detected by BMB. BMB and 18F-FDG PET/CT scans were concordant for BMI detection in 22 patients (81.5%): positive concordance in 7 patients and negative in 15. Of the 5 discordant cases, four had a focal marrow intense FDG uptake detected by PET/CT and were upstaged as their BMB results were false-negative, one patient had intense diffuse marrow uptake by PET/CT while its BMB was negative (revealed only hyper cellularity with mild dysplasia). The sensitivity, specificity, PPV, and NPV of PET for identifying BMI was 100%, 75%, 58.3%, 100% respectively with a diagnostic accuracy 81.5% with a (p value < 0.05). Conclusion 18F-FDG PET-CT imaging is more sensitive than bone marrow biopsy for bone marrow infiltration detection in Hodgkin's Lymphoma and Non-Hodgkin's Lymphoma staging.


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.


2012 ◽  
Vol 27 (2) ◽  
pp. 146-151 ◽  
Author(s):  
Kanhaiyalal Agrawal ◽  
Bhagwant Rai Mittal ◽  
Deepak Bansal ◽  
Neelam Varma ◽  
Radhika Srinivasan ◽  
...  

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.


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