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Amrane K, Meur CL, Thuillier P, Berthou C, Uguen A, Deandreis D, Bourhis D, Bourbonne V, Abgral R. Review on radiomic analysis in 18F-fluorodeoxyglucose positron emission tomography for prediction of melanoma outcomes. Cancer Imaging 2024; 24:87. [PMID: 38970050 PMCID: PMC11225300 DOI: 10.1186/s40644-024-00732-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 06/24/2024] [Indexed: 07/07/2024] Open
Abstract
Over the past decade, several strategies have revolutionized the clinical management of patients with cutaneous melanoma (CM), including immunotherapy and targeted tyrosine kinase inhibitor (TKI)-based therapies. Indeed, immune checkpoint inhibitors (ICIs), alone or in combination, represent the standard of care for patients with advanced disease without an actionable mutation. Notably BRAF combined with MEK inhibitors represent the therapeutic standard for disease disclosing BRAF mutation. At the same time, FDG PET/CT has become part of the routine staging and evaluation of patients with cutaneous melanoma. There is growing interest in using FDG PET/CT measurements to predict response to ICI therapy and/or target therapy. While semiquantitative values such as standardized uptake value (SUV) are limited for predicting outcome, new measures including tumor metabolic volume, total lesion glycolysis and radiomics seem promising as potential imaging biomarkers for nuclear medicine. The aim of this review, prepared by an interdisciplinary group of experts, is to take stock of the current literature on radiomics approaches that could improve outcomes in CM.
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Affiliation(s)
- Karim Amrane
- Department of Oncology, Regional Hospital of Morlaix, Morlaix, 29600, France.
- Lymphocytes B et Autoimmunité, Inserm, UMR1227, Univ Brest, Inserm, LabEx IGO, Brest, France.
| | - Coline Le Meur
- Department of Radiotherapy, University Hospital of Brest, Brest, France
| | - Philippe Thuillier
- Department of Endocrinology, University Hospital of Brest, Brest, France
- UMR Inserm 1304 GETBO, University of Western Brittany, Brest, IFR 148, France
| | - Christian Berthou
- Lymphocytes B et Autoimmunité, Inserm, UMR1227, Univ Brest, Inserm, LabEx IGO, Brest, France
- Department of Hematology, University Hospital of Brest, Brest, France
| | - Arnaud Uguen
- Lymphocytes B et Autoimmunité, Inserm, UMR1227, Univ Brest, Inserm, LabEx IGO, Brest, France
- Department of Pathology, University Hospital of Brest, Brest, France
| | - Désirée Deandreis
- Department of Nuclear Medicine, Gustave Roussy Institute, University of Paris Saclay, Paris, France
| | - David Bourhis
- UMR Inserm 1304 GETBO, University of Western Brittany, Brest, IFR 148, France
- Department of Nuclear Medicine, University Hospital of Brest, Brest, France
| | - Vincent Bourbonne
- Department of Radiotherapy, University Hospital of Brest, Brest, France
- Inserm, UMR1101, LaTIM, University of Western Brittany, Brest, France
| | - Ronan Abgral
- UMR Inserm 1304 GETBO, University of Western Brittany, Brest, IFR 148, France
- Department of Nuclear Medicine, University Hospital of Brest, Brest, France
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Lawal IO, Ndlovu H, Kgatle M, Mokoala KMG, Sathekge MM. Prognostic Value of PSMA PET/CT in Prostate Cancer. Semin Nucl Med 2024; 54:46-59. [PMID: 37482489 DOI: 10.1053/j.semnuclmed.2023.07.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 07/11/2023] [Indexed: 07/25/2023]
Abstract
Prostate-specific membrane antigen (PSMA) is a transmembrane glycoprotein expressed in the majority of prostate cancer (PCa). PSMA has an enzymatic function that makes metabolic substrates such as folate available for utilization by PCa cells. Intracellular folate availability drives aggressive tumor phenotype. PSMA expression is, therefore, a marker of aggressive tumor biology. The large extracellular domain of PSMA is available for targeting by diagnostic and therapeutic radionuclides, making it a suitable cellular epitope for theranostics. PET imaging of radiolabeled PSMA ligands has several prognostic utilities. In the prebiopsy setting, intense PSMA avidity in a prostate lesion correlate well with clinically significant PCa (csPCa) on histology. When used for staging, PSMA PET imaging outperforms conventional imaging for the accurate staging of primary PCa, and findings on imaging predict post-treatment outcomes. The biggest contribution of PSMA PET imaging to PCa management is in the biochemical recurrence setting, where it has emerged as the most sensitive imaging modality for the localization of PCa recurrence by helping to guide salvage therapy. PSMA PET obtained for localizing the site of recurrence is prognostic, such that a higher lesion number predicts a less favorable outcome to salvage radiotherapy or surgical intervention. Systemic therapy is given to patients with advanced PCa with distant metastasis. PSMA PET is useful for predicting response to treatments with chemotherapy, first- and second-line androgen deprivation therapies, and PSMA-targeted radioligand therapy. Artificial intelligence using machine learning algorithms allows for the mining of information from clinical images not visible to the human eyes. Artificial intelligence applied to PSMA PET images, therefore, holds great promise for prognostication in PCa management.
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Affiliation(s)
- Ismaheel O Lawal
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA; Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa
| | - Honest Ndlovu
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa; Nuclear Medicine Research Infrastructure (NuMeRI), Steve Biko Academic Hospital, Pretoria, South Africa
| | - Mankgopo Kgatle
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa; Nuclear Medicine Research Infrastructure (NuMeRI), Steve Biko Academic Hospital, Pretoria, South Africa
| | - Kgomotso M G Mokoala
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa; Nuclear Medicine Research Infrastructure (NuMeRI), Steve Biko Academic Hospital, Pretoria, South Africa
| | - Mike M Sathekge
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa; Nuclear Medicine Research Infrastructure (NuMeRI), Steve Biko Academic Hospital, Pretoria, South Africa.
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Bomhals B, Cossement L, Maes A, Sathekge M, Mokoala KMG, Sathekge C, Ghysen K, Van de Wiele C. Principal Component Analysis Applied to Radiomics Data: Added Value for Separating Benign from Malignant Solitary Pulmonary Nodules. J Clin Med 2023; 12:7731. [PMID: 38137800 PMCID: PMC10743692 DOI: 10.3390/jcm12247731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023] Open
Abstract
Here, we report on the added value of principal component analysis applied to a dataset of texture features derived from 39 solitary pulmonary lung nodule (SPN) lesions for the purpose of differentiating benign from malignant lesions, as compared to the use of SUVmax alone. Texture features were derived using the LIFEx software. The eight best-performing first-, second-, and higher-order features for separating benign from malignant nodules, in addition to SUVmax (MaximumGreyLevelSUVbwIBSI184IY), were included for PCA. Two principal components (PCs) were retained, of which the contributions to the total variance were, respectively, 87.6% and 10.8%. When included in a logistic binomial regression analysis, including age and gender as covariates, both PCs proved to be significant predictors for the underlying benign or malignant character of the lesions under study (p = 0.009 for the first PC and 0.020 for the second PC). As opposed to SUVmax alone, which allowed for the accurate classification of 69% of the lesions, the regression model including both PCs allowed for the accurate classification of 77% of the lesions. PCs derived from PCA applied on selected texture features may allow for more accurate characterization of SPN when compared to SUVmax alone.
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Affiliation(s)
- Birte Bomhals
- Department of Diagnostic Sciences, University Ghent, 9000 Ghent, Belgium; (B.B.); (L.C.)
| | - Lara Cossement
- Department of Diagnostic Sciences, University Ghent, 9000 Ghent, Belgium; (B.B.); (L.C.)
| | - Alex Maes
- Department of Morphology and Functional Imaging, University Hospital Leuven, 3000 Leuven, Belgium;
- Department of Nuclear Medicine, Katholieke University Leuven, AZ Groeninge, President Kennedylaan 4, 8500 Kortrijk, Belgium
| | - Mike Sathekge
- Department of Nuclear Medicine, Steve Biko Academic Hospital and Nuclear Medicine Research Infrastructure (NuMeRi), University of Pretoria, Pretoria 0002, South Africa
| | - Kgomotso M. G. Mokoala
- Department of Nuclear Medicine, Steve Biko Academic Hospital and Nuclear Medicine Research Infrastructure (NuMeRi), University of Pretoria, Pretoria 0002, South Africa
| | - Chabi Sathekge
- Department of Nuclear Medicine, Steve Biko Academic Hospital and Nuclear Medicine Research Infrastructure (NuMeRi), University of Pretoria, Pretoria 0002, South Africa
| | - Katrien Ghysen
- Department of Pneumology, AZ Groeninge, 8500 Kortrijk, Belgium
| | - Christophe Van de Wiele
- Department of Diagnostic Sciences, University Ghent, 9000 Ghent, Belgium; (B.B.); (L.C.)
- Department of Nuclear Medicine, Katholieke University Leuven, AZ Groeninge, President Kennedylaan 4, 8500 Kortrijk, Belgium
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Kim JW, Munavvar R, Kamil A, Haldar P. PET-CT for characterising TB infection (TBI) in immunocompetent subjects: a systematic review. J Med Microbiol 2023; 72. [PMID: 37750439 DOI: 10.1099/jmm.0.001749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023] Open
Abstract
Introduction. There is emerging evidence of a potential role for PET-CT scan as an imaging biomarker to characterise the spectrum of tuberculosis infection (TBI) in humans and animal models.Gap Statement. Synthesis of available evidence from current literature is needed to understand the utility of PET-CT for characterising TBI and how this may inform application of PET-CT in future TBI research.Aim. The aims of this review are to summarise the evidence of PET-CT scan use in immunocompetent hosts with TBI, and compare PET-CT features observed in humans and animal models.Methodology. MEDLINE, Embase and PubMed Central were searched to identify relevant publications. Studies were selected if they reported PET-CT features in human or animals with TBI. Studies were excluded if immune deficiency was present at the time of the initial PET-CT scan.Results. Six studies - four in humans and two in non-human primates (NHP) were included for analysis. All six studies used 2-deoxy-2-[18F]fluoro-d-glucose (2-[18F]FDG) PET-CT. Features of TBI were comparable between NHP and humans, with 2-[18F]FDG avid intrathoracic lymph nodes observed during early infection. Progressive TBI was characterised in NHP by increasing 2-[18F]FDG avidity and size of lesions. Two human studies suggested that PET-CT can discriminate between active TB and inactive TBI. However, data synthesis was generally limited by human studies including inconsistent and poorly characterised cohorts and the small number of eligible studies for review.Conclusion. Our review provides some evidence, limited primarily to non-human primate models, of PET-CT utility as a highly sensitive imaging modality to reveal and characterise meaningful metabolic and structural change in early TBI. The few human studies identified exhibit considerable heterogeneity. Larger prospective studies are needed recruiting well characterised cohorts with TBI and adopting a standardized PET-CT protocol, to better understand utility of this imaging biomarker to support future research.
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Affiliation(s)
- Jee Whang Kim
- Department of Respiratory Sciences, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Anver Kamil
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Pranabashis Haldar
- Department of Respiratory Sciences, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
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Annovazzi A, Rea S, Maccora D, Pizzuti L, Ferretti G, Vici P, Cappuzzo F, Sciuto R. Prognostic value of [18F]-FDG PET/CT in patients with meta-static breast cancer treated with cyclin-dependent inhibitors. Front Oncol 2023; 13:1193174. [PMID: 37519806 PMCID: PMC10376695 DOI: 10.3389/fonc.2023.1193174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 06/30/2023] [Indexed: 08/01/2023] Open
Abstract
Objective The addition of cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) to endocrine therapy impressively improved the outcome of patients with hormone receptor-positive metastatic breast cancer. Despite their great efficacy, not all patients respond to treatment and many of them develop acquired resistance. The aim of this retrospective study was to assess the role of [18F]-FDG PET/CT in predicting PFS and OS in breast cancer patients treated with CDK4/6i. Methods 114 patients who performed an [18F]-FDG PET/CT scan before (PET1) and 2-6 months (PET2) after starting treatment were retrospectively enrolled. Metabolic response was evaluated by EORTC, PERCIST and Deauville Score and correlated to PFS and OS. Results In patients who did not progress at PET2 (n = 90), PFS rates were not significantly different between classes of response by EORTC and PERCIST. Conversely, patients showing a Deauville score ≤3 had a longer PFS (median PFS 42 vs 21.0 months; p = 0.008). A higher total metabolic tumor volume at PET1 (TMTV1) was also associated with a shorter PFS (median 18 vs 42 months; p = 0.0026). TMTV1 and Deauville score were the only independent prognostic factors for PFS at multivariate analysis and their combination stratified the population in four definite classes of relapse risk. Conversely, the above parameters did not affect OS which was only influenced by a progressive metabolic disease at PET2 (3-years survival rate 29.8 vs 84.9%; p<0.0001). Conclusion TMTV and metabolic response by Deauville score were significant prognostic factors for PFS in patients with breast cancer treated with CDK4/6i. Their determination could help physicians to select patients who may need a closer follow up.
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Affiliation(s)
- Alessio Annovazzi
- Nuclear Medicine Unit – IRCCS, Regina Elena National Cancer Institute, Rome, Italy
| | - Sandra Rea
- Nuclear Medicine Unit – IRCCS, Regina Elena National Cancer Institute, Rome, Italy
| | - Daria Maccora
- Nuclear Medicine Unit – IRCCS, Regina Elena National Cancer Institute, Rome, Italy
| | - Laura Pizzuti
- Division of Medical Oncology 2 – IRCCS, Regina Elena National Cancer Institute, Rome, Italy
| | - Gianluigi Ferretti
- Division of Medical Oncology 1 – IRCCS, Regina Elena National Cancer Institute, Rome, Italy
| | - Patrizia Vici
- Phase IV Clinical Trial Unit – IRCCS, Regina Elena National Cancer Institute, Rome, Italy
| | - Federico Cappuzzo
- Division of Medical Oncology 2 – IRCCS, Regina Elena National Cancer Institute, Rome, Italy
| | - Rosa Sciuto
- Nuclear Medicine Unit – IRCCS, Regina Elena National Cancer Institute, Rome, Italy
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Abubakar S, More S, Tag N, Olabinjo A, Isah A, Lawal I. Differences in Tumour Aggressiveness Based on Molecular Subtype and Race Measured by [ 18F]FDG PET Metabolic Metrics in Patients with Invasive Carcinoma of the Breast. Diagnostics (Basel) 2023; 13:2059. [PMID: 37370954 DOI: 10.3390/diagnostics13122059] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 06/09/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Breast cancer in women of African descent tends to be more aggressive with poorer prognosis. This is irrespective of the molecular subtype. [18F]FDG PET/CT metrics correlate with breast cancer aggressiveness based on molecular subtype. This study investigated the differences in [18F]FDG PET/CT metrics of locally advanced invasive ductal carcinoma (IDC) among different racial groups and molecular subtypes. Qualitative and semiquantitative readings of [18F]FDG PET/CT acquired in women with locally advanced IDC were performed. Biodata including self-identified racial grouping and histopathological data of the primary breast cancer were retrieved. Statistical analysis for differences in SUVmax, MTV and TLG of the primary tumour and the presence of regional and distant metastases was conducted based on molecular subtype and race. The primary tumour SUVmax, MTV, TLG and the prevalence of distant metastases were significantly higher in Black patients compared with other races (p < 0.05). The primary tumour SUVmax and presence of distant metastases in the luminal subtype and the primary tumour SUVmax and TLG in the basal subtype were significantly higher in Black patients compared with other races (p < 0.05). The significantly higher PET parameters in Black patients with IDC in general and in those with luminal and basal carcinoma subtypes suggest a more aggressive disease phenotype in this race.
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Affiliation(s)
- Sofiullah Abubakar
- Department of Radiology and Nuclear Medicine, Sultan Qaboos Comprehensive Cancer Care and Research Center, Al-Khoud, Muscat 123, Oman
| | - Stuart More
- Department of Nuclear Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town 7935, South Africa
| | - Naima Tag
- Department of Radiology and Nuclear Medicine, Sultan Qaboos University Hospital, Al-Khoud, Muscat 123, Oman
| | - Afusat Olabinjo
- Department of Obstetrics and Gynecology, Armed Forces Hospital, Al-Khoud, Muscat 123, Oman
| | - Ahmed Isah
- Department of Nuclear Medicine, National Hospital, Abuja 90001, Nigeria
| | - Ismaheel Lawal
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA
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Xia L, Li X, Zhu J, Gao Z, Zhang J, Yang G, Wang Z. Prognostic value of baseline 18F-FDG PET/CT in patients with esophageal squamous cell carcinoma treated with definitive (chemo)radiotherapy. Radiat Oncol 2023; 18:41. [PMID: 36829219 PMCID: PMC9960216 DOI: 10.1186/s13014-023-02224-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 02/07/2023] [Indexed: 02/26/2023] Open
Abstract
PURPOSE To investigate the prognostic value of baseline 18F-FDG PET/CT in patients with esophageal squamous cell carcinoma (ESCC) treated with definitive (chemo)radiotherapy. METHODS A total of 98 ESCC patients with cTNM stage T1-4, N1-3, M0 who received definitive (chemo)radiotherapy after 18F-FDG PET/CT examination from December 2013 to December 2020 were retrospectively analyzed. Clinical factors included age, sex, histologic differentiation grade, tumor location, clinical stage, and treatment strategies. Parameters obtained by 18F-FDG PET/CT included SUVmax of primary tumor (SUVTumor), metabolic tumor volume (MTV), total lesion glycolysis (TLG), SUVmax of lymph node (SUVLN), PET positive lymph nodes (PLNS) number, the shortest distance between the farthest PET positive lymph node and the primary tumor in three-dimensional space after the standardization of the patient BSA (SDmax(LN-T)). Univariate and multivariate analysis was conducted by Cox proportional hazard model to explore the significant factors affecting overall survival (OS) and progression-free survival (PFS) in ESCC patients. RESULTS Univariate analysis showed that tumor location, SUVTumor, MTV, TLG, PLNS number, SDmax (LN-T) were significant predictors of OS and tumor location, and clinical T stage, SUVTumor, MTV, TLG, SDmax (LN-T) were significant predictors of PFS (all p < 0.1). Multivariate analysis showed that MTV and SDmax (LN-T) were independent prognostic factors for OS (HR = 1.018, 95% CI 1.006-1.031; p = 0.005; HR = 6.988, 95% CI 2.119-23.042; p = 0.001) and PFS (HR = 1.019, 95% CI 1.005-1.034; p = 0.009; HR = 5.819, 95% CI 1.921-17.628; p = 0.002). Combined with independent prognostic factors MTV and SDmax (LN-T), we can further stratify patient risk. CONCLUSIONS Before treatment, 18F-FDG PET/CT has important prognostic value for patients with ESCC treated with definitive (chemo)radiotherapy. The lower the value of MTV and SDmax (LN-T), the better the prognosis of patients.
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Affiliation(s)
- Lianshuang Xia
- grid.412521.10000 0004 1769 1119Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong China
| | - Xiaoxu Li
- grid.412521.10000 0004 1769 1119Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong China
| | - Jie Zhu
- grid.412521.10000 0004 1769 1119Department of Scientific Research Management and Foreign Affairs, The Affiliated Hospital of Qingdao University, Qingdao, Shandong China
| | - Zhaisong Gao
- grid.412521.10000 0004 1769 1119Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong China
| | - Ju Zhang
- grid.412521.10000 0004 1769 1119Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong China
| | - Guangjie Yang
- Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
| | - Zhenguang Wang
- Department of Nuclear Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
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Elhamady HY, Mostafa HM, Elsayed HF, Abo-ElAzm OM, Hussein MH. Deauville score versus ratio Deauville score in the interpretation of interim 18F-FDG PET-CT and in prediction of outcome in children with FDG-avid extra-nodal lymphomas. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2022. [DOI: 10.1186/s43055-022-00899-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023] Open
Abstract
Abstract
Background
Pediatric lymphoma is a common hematological neoplasm, representing the third most frequent childhood malignancy. 18F-fluoro-2-deoxyglucose–positron emission tomography has been found to be useful in lymphoma staging, prediction of prognosis and risk stratification of lymphoma patients. Although the interpretation of interim PET (after two cycles of chemotherapy) using the qualitative visual method of 5-point Deauville score has been widely accepted, semiquantitative methods of interpretation were evaluated by many studies and showed a better prediction of prognosis. The purpose of this study was to evaluate the prognostic role of the semiquantitative ratio Deauville score (rDS), defined as the ratio between target lesion and liver maximum standardized uptake values in children with FDG-avid extra-nodal lymphomas, undergoing interim FDG-PET/CT, and to compare it with the 5-point Deauville score (5p-DS).
Methods
This prospective study included 89 children with FDG-avid extra-nodal lymphoma. Interim PET was interpreted using both visual (5p-DS) and the semiquantitative method (rDS). The visual method depends on visual comparison of FDG uptake between lesions and liver as a reference organ for activity and considered lesions with activity higher than liver to be positive, while the semiquantitative method depends on making a ratio between the most active lesion and liver SUVmax. Receiver operating characteristic approach was applied to identify the optimal cut-point of rDS with respect to response to therapy and prognosis, and the prognostic significance of rDS was compared with 5p-DS.
Results
The ROC analysis for rDS as a predictor of progression showed an optimal cut-point of 1.25. Both 5p-DS and rDS were strong outcome predictors. Patients with negative 5p-DS and patients with rDS < 1.25 had a similar 3-year PFS (87%). Patients with a positive 5p-DS had a 3-year PFS of 67.4%, while patients with rDS > 1.25 had a 3-year PFS of 60%.
Conclusions
rDS could be suggested as an accurate prognostic factor in children with lymphoma undergoing interim FDG-PET/CT. However, larger studies with more homogenous sample regarding histopathological subtypes and chemotherapy lines are needed to confirm these data.
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Anne-Leen D, Machaba S, Alex M, Bart DS, Laurence B, Mike S, Hans P, Van de Wiele C. Principal component analysis of texture features derived from FDG PET images of melanoma lesions. EJNMMI Phys 2022; 9:64. [PMID: 36107331 PMCID: PMC9478000 DOI: 10.1186/s40658-022-00491-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 09/01/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
The clinical utility of radiomics is hampered by a high correlation between the large number of features analysed which may result in the “bouncing beta” phenomenon which could in part explain why in a similar patient population texture features identified and/or cut-off values of prognostic significance differ from one study to another. Principal component analysis (PCA) is a technique for reducing the dimensionality of large datasets containing highly correlated variables, such as texture feature datasets derived from FDG PET images, increasing data interpretability whilst at the same time minimizing information loss by creating new uncorrelated variables that successively maximize variance. Here, we report on PCA of a texture feature dataset derived from 123 malignant melanoma lesions with a significant range in lesion size using the freely available LIFEx software.
Results
Thirty-eight features were derived from all lesions. All features were standardized. The statistical assumptions for carrying out PCA analysis were met. Seven principal components with an eigenvalue > 1 were identified. Based on the “elbow sign” of the Scree plot, only the first five were retained. The contribution to the total variance of these components derived using Varimax rotation was, respectively, 30.6%, 23.6%, 16.1%, 7.4% and 4.1%. The components provided summarized information on the locoregional FDG distribution with an emphasis on high FDG uptake regions, contrast in FDG uptake values (steepness), tumour volume, locoregional FDG distribution with an emphasis on low FDG uptake regions and on the rapidity of changes in SUV intensity between different regions.
Conclusions
PCA allowed to reduce the dataset of 38 features to a set of 5 uncorrelated new variables explaining approximately 82% of the total variance contained within the dataset. These principal components may prove more useful for multiple regression analysis considering the relatively low numbers of patients usually included in clinical trials on FDG PET texture analysis. Studies assessing the superior differential diagnostic, predictive or prognostic value of principal components derived using PCA as opposed to the initial texture features in clinical relevant settings are warranted.
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Qiu HZ, Zhang X, Liu SL, Sun XS, Mo YW, Lin HX, Lu ZJ, Guo J, Tang LQ, Mai HQ, Liu LT, Guo L. M1 stage subdivisions based on 18F-FDG PET-CT parameters to identify locoregional radiotherapy for metastatic nasopharyngeal carcinoma. Ther Adv Med Oncol 2022; 14:17588359221118785. [PMID: 35983026 PMCID: PMC9379565 DOI: 10.1177/17588359221118785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 07/22/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose To establish a risk classification of de novo metastatic nasopharyngeal carcinoma (mNPC) patients based on 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET-CT) radiomics parameters to identify suitable candidates for locoregional radiotherapy (LRRT). Methods In all, 586 de novo mNPC patients who underwent 18F-FDG PET-CT prior to palliative chemotherapy (PCT) were involved. A Cox regression model was performed to identify prognostic factors for overall survival (OS). Candidate PET-CT parameters were incorporated into the PET-CT parameter score (PPS). Recursive partitioning analysis (RPA) was applied to construct a risk stratification system. Results Multivariate Cox regression analyses revealed that total lesion glycolysis of locoregional lesions (LRL-TLG), the number of bone metastases (BMs), metabolic tumor volume of distant soft tissue metastases (DSTM-MTV), pretreatment Epstein-Barr virus DNA (EBV DNA), and liver involvement were independent prognosticators for OS. The number of BMs, LRL-TLG, and DSTM-MTV were incorporated as the PPS. Eligible patients were divided into three stages by the RPA-risk stratification model: M1a (low risk, PPSlow + no liver involvement), M1b (intermediate risk, PPSlow + liver involvement, PPShigh + low EBV DNA), and M1c (high risk, PPShigh + high EBV DNA). PCT followed by LRRT displayed favorable OS rates compared to PCT alone in M1a patients (p < 0.001). No significant survival difference was observed between PCT plus LRRT and PCT alone in M1b and M1c patients (p > 0.05). Conclusions The PPS-based RPA stratification model could identify suitable candidates for LRRT. Patients with stage M1a disease could benefit from LRRT.
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Affiliation(s)
- Hui-Zhi Qiu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Xu Zhang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Sai-Lan Liu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Xue-Song Sun
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Yi-Wen Mo
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Huan-Xin Lin
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Zi-Jian Lu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Jia Guo
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Lin-Quan Tang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Hai-Qiang Mai
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou 510060, P. R. China
| | - Li-Ting Liu
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
| | - Ling Guo
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P. R. China
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11
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Chen S, Qin A, Yan D. Dynamic Characteristics and Predictive Capability of Tumor Voxel Dose-Response Assessed Using 18F-FDG PET/CT Imaging Feedback. Front Oncol 2022; 12:876861. [PMID: 35875108 PMCID: PMC9299377 DOI: 10.3389/fonc.2022.876861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/01/2022] [Indexed: 12/02/2022] Open
Abstract
Purpose Tumor voxel dose–response matrix (DRM) can be quantified using feedback from serial FDG-PET/CT imaging acquired during radiotherapy. This study investigated the dynamic characteristics and the predictive capability of DRM. Methods FDG-PET/CT images were acquired before and weekly during standard chemoradiotherapy with the treatment dose 2 Gy × 35 from 31 head and neck cancer patients. For each patient, deformable image registration was performed between the pretreatment/baseline PET/CT image and each weekly PET/CT image. Tumor voxel DRM was derived using linear regression on the logarithm of the weekly standard uptake value (SUV) ratios for each tumor voxel, such as SUV measured at a dose level normalized to the baseline SUV0. The dynamic characteristics were evaluated by comparing the DRMi estimated using a single feedback image acquired at the ith treatment week (i = 1, 2, 3, or 4) to the DRM estimated using the last feedback image for each patient. The predictive capability of the DRM estimated using 1 or 2 feedback images was evaluated using the receiver operating characteristic test with respect to the treatment outcome of tumor local–regional control or failure. Results The mean ± SD of tumor voxel SUV measured at the pretreatment and the 1st, 2nd, 3rd, 4th, and last treatment weeks was 6.76 ± 3.69, 5.72 ± 3.43, 3.85 ± 2.22, 3.27 ± 2.25, 2.5 ± 1.79, and 2.23 ± 1.27, respectively. The deviations between the DRMi estimated using the single feedback image obtained at the ith week and the last feedback image were 0.86 ± 4.87, −0.06 ± 0.3, −0.09 ± 0.17, and −0.09 ± 0.12 for DRM1, DRM2, DRM3, and DRM4, respectively. The predictive capability of DRM3 and DRM4 was significant (p < 0.001). The area under the curve (AUC) was increased with the increase in treatment dose level. The DRMs constructed using the single feedback image achieved an AUC of 0.86~1. The AUC was slightly improved to 0.94~1 for the DRMs estimated using 2 feedback images. Conclusion Tumor voxel metabolic activity measured using FDG-PET/CT fluctuated noticeably during the first 2 treatment weeks and obtained a stabilized reduction rate thereafter. Tumor voxel DRM constructed using a single FDG-PET/CT feedback image after the 2nd treatment week (>20 Gy) has a good predictive capability. The predictive capability improved continuously using a later feedback image and marginally improved when two feedback images were applied.
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Affiliation(s)
- Shupeng Chen
- Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
| | - An Qin
- Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States
| | - Di Yan
- Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, United States.,Radiation Oncology, Huaxi Hospital/School of Medicine, Chengdu, China
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12
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Langen Stokmo H, Aly M, Bowitz Lothe IM, Borja AJ, Mehdizadeh Seraj S, Ghorpade R, Miao X, Hjortland GO, Malinen E, Sorbye H, Werner TJ, Alavi A, Revheim M. Volumetric parameters from [ 18 F]FDG PET/CT predicts survival in patients with high-grade gastroenteropancreatic neuroendocrine neoplasms. J Neuroendocrinol 2022; 34:e13170. [PMID: 35729738 PMCID: PMC9539477 DOI: 10.1111/jne.13170] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/12/2022] [Accepted: 05/23/2022] [Indexed: 11/30/2022]
Abstract
A positive fluorine-18 labelled 2-deoxy-2-fluoroglucose ([18 F]FDG) positron emission tomography/computed tomography (PET/CT) has been associated with more aggressive disease and less differentiated neuroendocrine neoplasms (NEN). Although a high maximum standardized uptake value (SUVmax ) predicts poor outcome in NEN, volumetric parameters from [18 F]FDG PET have not been evaluated for prognostication in a pure high-grade gastroenteropancreatic (GEP) NEN cohort. In this retrospective observational study, we evaluated the volumetric PET parameters total metabolic tumour volume (tMTV) and total total lesion glycolysis (tTLG) for independent prognostication of overall survival (OS). High-grade GEP NEN patients with [18 F]FDG PET/CT examination and biopsy within 90 days were included. Total MTV and tTLG were calculated using an adaptive thresholding software. Patients were dichotomised into low and high metabolic groups based on median tMTV and tTLG. OS was compared using Kaplan-Meier estimator and log-rank test. Uni and multivariable Cox regression was used to estimate effect sizes and adjust for tumour differentiation and SUVmax . Sixty-six patients (median age 64 years) were included with 14 NET G3 and 52 NEC cases after histological re-evaluation. Median tMTV was 208 cm3 and median tTLG 1899 g. Median OS in the low versus high tMTV-group was 21.2 versus 5.7 months (HR 2.53, p = 0.0007) and 22.8 versus 5.7 months (HR 2.42, p = 0.0012) in the tTLG-group. Adjusted for tumour differentiation and SUVmax , tMTV and tTLG still predicted for poor OS, and both tMTV and tTLG were stronger prognostic parameters than SUVmax . Both regression models showed a strong association between volumetric parameters and OS for both neuroendocrine tumours (NET) G3 and neuroendocrine carcinomas (NEC). OS for the tTLG low metabolic NEC was much higher than for the tTLG high metabolic NET G3 (18.3 vs. 5.7 months). High-grade GEP NEN patients with high tMTV or tTLG had a worse OS regardless of tumour differentiation (NET G3 or NEC). Volumetric PET parameters were stronger prognostic parameters than SUVmax .
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Affiliation(s)
- Henning Langen Stokmo
- Division of Radiology and Nuclear MedicineOslo University HospitalOsloNorway
- Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
| | - Mahmoud Aly
- Department of RadiologyHospital of the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of RadiologyAsyut University HospitalAsyutEgypt
| | | | - Austin J. Borja
- Department of RadiologyHospital of the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Perelman School of Medicine at the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Rina Ghorpade
- Department of RadiologyHospital of the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Xuan Miao
- Department of RadiologyHospital of the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Eirik Malinen
- Department of Medical PhysicsOslo University HospitalOsloNorway
- Department of PhysicsUniversity of OsloOsloNorway
| | - Halfdan Sorbye
- Department of OncologyHaukeland University HospitalBergenNorway
- Department of Clinical ScienceUniversity of BergenBergenNorway
| | - Thomas J. Werner
- Department of RadiologyHospital of the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Abass Alavi
- Department of RadiologyHospital of the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Mona‐Elisabeth Revheim
- Division of Radiology and Nuclear MedicineOslo University HospitalOsloNorway
- Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
- Department of RadiologyHospital of the University of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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13
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Parghane RV, Basu S. PET-CTBased Quantitative Parameters for Assessment of Treatment Response and Disease Activity in Cancer and Noncancerous Disorders. PET Clin 2022; 17:465-478. [PMID: 35717102 DOI: 10.1016/j.cpet.2022.03.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The various semiquantitative and quantitative PET-CT parameters provide measurement of disease activity and assessment of treatment response in the PET-CT studies. These include standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG), and total metabolic tumor volume (TMTV). Thresholding and adaptive thresholding methods are commonly used algorithms for the evaluation of global disease activity. Readily available commercial software frequently in-built with the current generation PET-CT scanners for providing easy, less time consuming, highly reproducible, and more accurate measurement of global disease activity on PET-CT imaging in evaluation of malignant as well as benign disorders.
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Affiliation(s)
- Rahul V Parghane
- Radiation Medicine Centre (BARC), Tata Memorial Hospital Annexe, Parel, Mumbai, India; Homi Bhabha National Institute, Mumbai, India
| | - Sandip Basu
- Radiation Medicine Centre (BARC), Tata Memorial Hospital Annexe, Parel, Mumbai, India; Homi Bhabha National Institute, Mumbai, India.
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14
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Meng N, Fu F, Feng P, Li Z, Gao H, Wu Y, Zhang J, Wei W, Yuan J, Yang Y, Liu H, Cheng J, Wang M. Evaluation of Amide Proton Transfer‐Weighted Imaging for Lung Cancer Subtype and Epidermal Growth Factor Receptor: A Comparative Study With Diffusion and Metabolic Parameters. J Magn Reson Imaging 2022; 56:1118-1129. [PMID: 35258145 DOI: 10.1002/jmri.28135] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/15/2022] [Accepted: 02/16/2022] [Indexed: 11/05/2022] Open
Affiliation(s)
- Nan Meng
- Department of Medical Imaging Zhengzhou University People's Hospital & Henan Provincial People's Hospital Zhengzhou China
- Academy of Medical Sciences Zhengzhou University Zhengzhou China
| | - Fangfang Fu
- Department of Medical Imaging Zhengzhou University People's Hospital & Henan Provincial People's Hospital Zhengzhou China
| | - Pengyang Feng
- Department of Medical Imaging Henan University People's Hospital & Henan Provincial People's Hospital Zhengzhou China
| | - Ziqiang Li
- Department of Medical Imaging Xinxiang Medical University, Henan Provincial People's Hospital Zhengzhou China
| | - Haiyan Gao
- Department of Medical Imaging Zhengzhou University People's Hospital & Henan Provincial People's Hospital Zhengzhou China
| | - Yaping Wu
- Department of Medical Imaging Zhengzhou University People's Hospital & Henan Provincial People's Hospital Zhengzhou China
| | - Jiawen Zhang
- Department of Pediatrics, Zhengzhou Central Hospital Zhengzhou University Zhengzhou China
| | - Wei Wei
- Department of Medical Imaging Zhengzhou University People's Hospital & Henan Provincial People's Hospital Zhengzhou China
| | - Jianmin Yuan
- Central Research Institute UIH Group Shanghai China
| | - Yang Yang
- Beijing United Imaging Research Institute of Intelligent Imaging UIH Group Beijing China
| | - Hui Liu
- UIH America, Inc Houston Texas USA
| | - Jianjian Cheng
- Department of Respiratory and Critical Care Medicine Zhengzhou University People's Hospital & Henan Provincial People's Hospital Zhengzhou China
| | - Meiyun Wang
- Department of Medical Imaging Zhengzhou University People's Hospital & Henan Provincial People's Hospital Zhengzhou China
- Academy of Medical Sciences Zhengzhou University Zhengzhou China
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15
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Hlongwa KN, Mokoala KMG, Matsena-Zingoni Z, Vorster M, Sathekge MM. The Use of 18F-FDG PET/CT Metabolic Parameters in Predicting Overall Survival in Patients Undergoing Restaging for Malignant Melanoma. Diagnostics (Basel) 2022; 12:diagnostics12030595. [PMID: 35328148 PMCID: PMC8947629 DOI: 10.3390/diagnostics12030595] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/11/2022] [Accepted: 02/19/2022] [Indexed: 12/04/2022] Open
Abstract
Malignant melanoma is one of the more aggressive cancers in the skin, with an increasing incidence every year. Melanoma has a better prognosis if diagnosed early and survival tends to decrease once the disease has metastasized. Positron emission tomography (PET) with 2-[18F]fluoro-2-deoxy-D-glucose (18F-FDG) has been used extensively over the past two decades in staging and assessing responses to therapy in patients with melanoma. Metabolic PET parameters have been demonstrated to be independent prognostic factors for progression-free survival (PFS) and overall survival (OS) in different malignancies, melanoma included. In our study, we evaluated the metabolic parameters of 18F-FDG PET/CT (flourodeoxyglucose positron emission tomography/computed tomography) in predicting the overall survival in patients with malignant melanoma who presented for restaging. Metabolic PET parameters (maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG)) of the primary tumor, as well as whole-body MTV and TLG of the metastatic disease, were measured. Survival curves for OS were constructed and mortality rates were determined using the different PET variables. Forty-nine patients who presented for a PET/CT restaging in melanoma were included in this study. We found that non-survivors had significantly higher median MTV (11.86 cm3 vs. 5.68 cm3; p-value = 0.022), TLG (3125 vs. 14; p-value = 0.0357), whole-body MTV (53.9 cm3 vs. 14.4 cm3; p-value = 0.0076) and whole-body TLG (963.4 vs. 114.6; p-value = 0.0056). This demonstrated that high MTV and TLG values of the primary tumor and whole-body TLG as quantified by 18F-FDG PET/CT were prognostic factors for overall survival. The findings may potentially guide clinicians in decision making and identifying patients with a poorer prognosis.
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Affiliation(s)
- Khanyisile N Hlongwa
- Department of Nuclear Medicine, University of Pretoria and Steve Biko Academic Hospital, Pretoria 0001, South Africa
| | - Kgomotso M G Mokoala
- Department of Nuclear Medicine, University of Pretoria and Steve Biko Academic Hospital, Pretoria 0001, South Africa
| | - Zvifadzo Matsena-Zingoni
- Division of Epidemiology and Biostatistics, School of Public Health, University of Witwatersrand, Johannesburg 2193, South Africa
| | - Mariza Vorster
- Department of Nuclear Medicine, University of Pretoria and Steve Biko Academic Hospital, Pretoria 0001, South Africa
- Nuclear Medicine Research Infrastructure (NuMeRI), Steve Biko Academic Hospital, Pretoria 0001, South Africa
| | - Mike M Sathekge
- Department of Nuclear Medicine, University of Pretoria and Steve Biko Academic Hospital, Pretoria 0001, South Africa
- Nuclear Medicine Research Infrastructure (NuMeRI), Steve Biko Academic Hospital, Pretoria 0001, South Africa
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16
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Predicting pathological response and overall survival in locally advanced gastric cancer patients undergoing neoadjuvant chemotherapy: the role of PET/computed tomography. Nucl Med Commun 2022; 43:560-567. [PMID: 35045553 DOI: 10.1097/mnm.0000000000001534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Gastric cancer is the second leading cause of cancer-related deaths, with a 5-year survival rate of about 20-25%. The ability to predict pathological response (PR) to neoadjuvant chemotherapy (NACT); hence, overall survival (OS) probability of patients can allow the clinician to individualize treatment strategies. We investigated the role of F-18 fluorodeoxyglucose PET-computed tomography (F-18 FDG PET/CT) in predicting histopathologic response and prognosis in locally advanced gastric cancer (LAGC) patients undergoing NACT. METHODS F-18FDG PET/CT images taken before and after NACT, adenocarcinoma histopathology and operation pyesis reports of 43 LAGC patients were analyzed. Maximum (SUVmax) and mean (SUVmean) standardized uptake values, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of lesions were measured before and after NACT. Changes in percentage were calculated for ΔSUVmax%, ΔSUVmean%, ΔMTV%, ΔTLG%, and cutoff values were determined by receiver operating characteristic curve analysis. NACT response in pathology pyesis was determined according to the College of American Pathologists classification. PR and OS were analyzed with Kaplan-Meier and Cox proportional hazards regression models based on cutoffs found with PET measurements. RESULTS Cutoffs were ΔSUVmax = 33.31%, ΔSUVmean = 42.96%, ΔMTV = 30.38%, and ΔTLG = 28.14%, and all patients showed significance in PR and OS based on these cutoffs (all P < 0.01). PET/CT findings before and after NACT (ΔMTV > 30.38%, ΔTLG > 28.14%) predicted PR with 100% sensitivity and specificity. Multivariate analysis showed ΔSUVmean as an independent risk factor predicting OS (hazard ratio 0.348, 95% confidence interval 2.91-22.3, P = 0.03). CONCLUSIONS Metabolic parameters obtained with F-18 FDG PET/CT scanning before and after NACT in LAGC patients can accurately predict PR and OS.
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17
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Annovazzi A, Ferraresi V, Rea S, Russillo M, Renna D, Carpano S, Sciuto R. Prognostic value of total metabolic tumour volume and therapy-response assessment by [ 18F]FDG PET/CT in patients with metastatic melanoma treated with BRAF/MEK inhibitors. Eur Radiol 2021; 32:3398-3407. [PMID: 34779873 DOI: 10.1007/s00330-021-08355-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/02/2021] [Accepted: 09/24/2021] [Indexed: 12/31/2022]
Abstract
OBJECTIVES Target therapy with BRAF/MEK inhibitors in metastatic melanoma is characterised by a high response rate; however, acquired resistance to treatment develops in many cases. We aimed to investigate if baseline total metabolic tumour volume (TMTV) and therapy-response assessment by [18F]FDG PET/CT have a prognostic role on progression-free survival (PFS) and overall survival (OS) in patients with metastatic melanoma receiving BRAF ± MEK inhibitors. METHODS Fifty-seven patients who performed an [18F]FDG PET/CT at baseline and on treatment were retrospectively evaluated. A Cox proportional-hazard model was used to examine associations between OS and PFS with baseline clinical/PET parameters as well as for PET response. RESULTS According to EORTC criteria, 34 patients were classified as responders (partial/complete metabolic response [PMR/CMR]) and 23 as non-responders (progressive/stable metabolic disease [PMD/SMD]). Baseline characteristics associated with a shorter PFS were more than two metastatic organ sites and TMTV > 56 cm3; the latter was the only independent feature at multivariate analysis. Patients achieving a CMR were associated with a prolonged PFS compared with those with PMR (median PFS 42.9 vs 8.8 months; p = 0.009). Disease progression occurred in new-onset disease sites in 87.5% of CMR, 7.1% of PMR and 34.8% of PMD/SMD (p < 0.001). High baseline TMTV and lack of treatment response were independent prognostic factors for OS, stratifying patients in three different prognostic classes (median OS 6.7, 18.3 and 102.2 months, respectively). CONCLUSIONS Baseline TMTV and metabolic response may be useful prognostic indicators for PFS and OS in patients with advanced melanoma treated with BRAF/MEK inhibitors. KEY POINTS • In a retrospective cohort of 57 metastatic melanoma patients treated with BRAF/MEK inhibitors, a TMTV > 56 cm3 at baseline [18F]FDG PET/CT was significantly correlated with a shorter PFS and OS. • The combined use of baseline TMTV along with PET response during treatment allowed for the identification of three groups of patients with very different median OS.
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Affiliation(s)
- Alessio Annovazzi
- Nuclear Medicine Unit, IRCCS - Regina Elena National Cancer Institute, Via Elio Chianesi, 53, 00144, Rome, Italy.
| | - Virginia Ferraresi
- First Division of Medical Oncology, IRCCS - Regina Elena National Cancer Institute, Rome, Italy
- Sarcomas and Rare Tumors Unit, IRCCS - Regina Elena National Cancer Institute, Rome, Italy
| | - Sandra Rea
- Nuclear Medicine Unit, IRCCS - Regina Elena National Cancer Institute, Via Elio Chianesi, 53, 00144, Rome, Italy
| | - Michelangelo Russillo
- First Division of Medical Oncology, IRCCS - Regina Elena National Cancer Institute, Rome, Italy
| | - Davide Renna
- First Division of Medical Oncology, IRCCS - Regina Elena National Cancer Institute, Rome, Italy
| | - Silvia Carpano
- Second Division of Medical Oncology, IRCCS - Regina Elena National Cancer Institute, Rome, Italy
| | - Rosa Sciuto
- Nuclear Medicine Unit, IRCCS - Regina Elena National Cancer Institute, Via Elio Chianesi, 53, 00144, Rome, Italy
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18
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Huang K, Feng Y, Liang W, Li L. Impact of time of flight and point spread function on quantitative parameters of lung lesions in 18F-FDG PET/CT. BMC Med Imaging 2021; 21:169. [PMID: 34773998 PMCID: PMC8590319 DOI: 10.1186/s12880-021-00699-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 10/26/2021] [Indexed: 11/23/2022] Open
Abstract
Background Image reconstruction algorithm is one of the important factors affecting the quantitative parameters of PET/CT. The purpose of this study was to investigate the effects of time of flight (TOF) and point spread function (PSF) on quantitative parameters of lung lesions in 18F-FDG PET/CT. Methods This retrospective study evaluated 60 lung lesions in 39 patients who had undergone 18F-fluoro-deoxy-glucose (FDG) PET/CT. All lesions larger than 10 mm in diameter were included in the study. The PET data were reconstructed with a baseline ordered-subsets expectation–maximization (OSEM) algorithm, OSEM + PSF, OSEM + TOF and OSEM + TOF + PSF respectively. The differences of maximum standard uptake value (SUVmax), mean standard uptake value (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG)and signal to noise ratio (SNR)were compared among different reconstruction algorithms. Results Compared with OSEM reconstruction, using OSEM + TOF + PSF increased SUVmean and SUVmax by 23.73% and 22.71% respectively, and SNR increased by 70.18%, MTV decreased by 23.84% (p < 0.01). The percentage difference was significantly higher in smaller lesions (diameter 10–22 mm) than in larger lesions (diameter 23–44 mm), and significantly higher in low contrast lesions (SNR ≤ 15.31) than in high contrast lesions (SNR > 15.31). The difference of TLG among various reconstruction algorithms is relatively small, the highest value is − 6.48% of OSEM + TOF + PSF, and the lowest value is 0.81% of OSEM + TOF. Conclusion TOF and PSF significantly affected the quantitative parameters of lung lesions in 18F-FDG PET/CT. OSEM + TOF + PSF can significantly increased SUVmax, SUVmean and SNR, and significantly reduce MTV, especially in small lesions and low contrast lesions. TLG can be relatively stable in different reconstruction algorithms.
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Affiliation(s)
- Kemin Huang
- Department of Nuclear Medicine, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China.
| | - Yanlin Feng
- Department of Nuclear Medicine, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Weitang Liang
- Department of Nuclear Medicine, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Lin Li
- Department of Nuclear Medicine, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China
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Radionuclide Imaging of Invasive Fungal Disease in Immunocompromised Hosts. Diagnostics (Basel) 2021; 11:diagnostics11112057. [PMID: 34829403 PMCID: PMC8620393 DOI: 10.3390/diagnostics11112057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/03/2021] [Accepted: 11/04/2021] [Indexed: 12/19/2022] Open
Abstract
Invasive fungal disease (IFD) leads to increased mortality, morbidity, and costs of treatment in patients with immunosuppressive conditions. The definitive diagnosis of IFD relies on the isolation of the causative fungal agents through microscopy, culture, or nucleic acid testing in tissue samples obtained from the sites of the disease. Biopsy is not always feasible or safe to be undertaken in immunocompromised hosts at risk of IFD. Noninvasive diagnostic techniques are, therefore, needed for the diagnosis and treatment response assessment of IFD. The available techniques that identify fungal-specific antigens in biological samples for diagnosing IFD have variable sensitivity and specificity. They also have limited utility in response assessment. Imaging has, therefore, been applied for the noninvasive detection of IFD. Morphologic imaging with computed tomography (CT) and magnetic resonance imaging (MRI) is the most applied technique. These techniques are neither sufficiently sensitive nor specific for the early diagnosis of IFD. Morphologic changes evaluated by CT and MRI occur later in the disease course and during recovery after successful treatment. These modalities may, therefore, not be ideal for early diagnosis and early response to therapy determination. Radionuclide imaging allows for targeting the host response to pathogenic fungi or specific structures of the pathogen itself. This makes radionuclide imaging techniques suitable for the early diagnosis and treatment response assessment of IFD. In this review, we aimed to discuss the interplay of host immunity, immunosuppression, and the occurrence of IFD. We also discuss the currently available radionuclide probes that have been evaluated in preclinical and clinical studies for their ability to detect IFD.
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Atkinson C, Ganeshan B, Endozo R, Wan S, Aldridge MD, Groves AM, Bomanji JB, Gaze MN. Radiomics-Based Texture Analysis of 68Ga-DOTATATE Positron Emission Tomography and Computed Tomography Images as a Prognostic Biomarker in Adults With Neuroendocrine Cancers Treated With 177Lu-DOTATATE. Front Oncol 2021; 11:686235. [PMID: 34408979 PMCID: PMC8366561 DOI: 10.3389/fonc.2021.686235] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 07/12/2021] [Indexed: 12/25/2022] Open
Abstract
Purpose Neuroendocrine tumors (NET) are rare cancers with variable behavior. A better understanding of prognosis would aid individualized management. The aim of this hypothesis-generating pilot study was to investigate the prognostic potential of tumor heterogeneity and tracer avidity in NET using texture analysis (TA) of 68Ga-DOTATATE positron emission tomography (PET) and non-enhanced computed tomography (CT) performed at baseline in patients treated with 177Lu-DOTATATE. It aims to justify a larger-scale study to evaluate its clinical value. Methods The pretherapy 68Ga-DOTATATE PET-CT scans of 44 patients with metastatic NET (carcinoid, pancreatic, thyroid, head and neck, catecholamine-secreting, and unknown primary NET) treated with 177Lu-DOTATATE were analyzed retrospectively using commercially available texture analysis research software. Image filtration extracted and enhanced objects of different sizes (fine, medium, coarse), then quantified heterogeneity by statistical and histogram-based parameters (mean intensity, standard deviation, entropy, mean of positive pixels, skewness, and kurtosis). Regions of interest were manually drawn around up to five of the most 68Ga-DOTATATE avid lesions for each patient. 68Gallium uptake on PET was quantified as SUVmax and SUVmean. Associations between imaging and clinical markers with progression-free (PFS) and overall survival (OS) were assessed using univariate Kaplan-Meier analysis. Independence of the significant univariate markers of survival was tested using multivariate Cox regression analysis. Results Measures of heterogeneity (higher kurtosis, higher entropy, and lower skewness) on coarse-texture scale CT and unfiltered PET images predicted shorter PFS (CT coarse kurtosis: p=0.05, PET entropy: p=0.01, PET skewness: p=0.03) and shorter OS (CT coarse kurtosis: p=0.05, PET entropy: p=0.01, PET skewness p=0.02). Conventional PET parameters such as SUVmax and SUVmean showed trends towards predicting outcome but were not statistically significant. Multivariate analysis identified that CT-TA (coarse kurtosis: HR=2.57, 95% CI=1.22–5.38, p=0.013) independently predicted PFS, and PET-TA (unfiltered skewness: HR=9.05, 95% CI=1.19–68.91, p=0.033) independently predicted OS. Conclusion These preliminary data generate a hypothesis that radiomic analysis of neuroendocrine cancer on 68Ga-DOTATATE PET-CT may be of prognostic value and a valuable addition to the assessment of patients.
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Affiliation(s)
- Charlotte Atkinson
- Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Balaji Ganeshan
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Raymond Endozo
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Simon Wan
- Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Matthew D Aldridge
- Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Ashley M Groves
- Institute of Nuclear Medicine, University College London, London, United Kingdom
| | - Jamshed B Bomanji
- Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Mark N Gaze
- Departments of Oncology and Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London, United Kingdom
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21
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Lin P, Min M, Lai K, Lee M, Holloway L, Xuan W, Bray V, Fowler A, Lee CS, Yong J. Mid-treatment Fluorodeoxyglucose Positron Emission Tomography in Human Papillomavirus-related Oropharyngeal Squamous Cell Carcinoma Treated with Primary Radiotherapy: Nodal Metabolic Response Rate can Predict Treatment Outcomes. Clin Oncol (R Coll Radiol) 2021; 33:e586-e598. [PMID: 34373179 DOI: 10.1016/j.clon.2021.07.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 06/05/2021] [Accepted: 07/16/2021] [Indexed: 11/26/2022]
Abstract
AIMS To evaluate whether biomarkers derived from fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET-CT) performed prior to (prePET) and during the third week (interim PET; iPET) of radiotherapy can predict treatment outcomes in human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPC). MATERIALS AND METHODS This retrospective analysis included 46 patients with newly diagnosed OPC treated with definitive (chemo)radiation and all patients had confirmed positive HPV status (HPV+OPC) based on p16 immunohistochemistry. The maximum standardised uptake value (SUVmax), metabolic tumour volume (MTV) and total lesional glycolysis (TLG) of primary, index node (node with the highest TLG) and total lymph nodes and their median percentage (≥50%) reductions in iPET were analysed, and correlated with 5-year Kaplan-Meier and multivariable analyses (smoking, T4, N2b-3 and AJCC stage IV), including local failure-free survival, regional failure-free survival, locoregional failure-free survival (LRFFS), distant metastatic failure-free survival (DMFFS), disease-free survival (DFS) and overall survival. RESULTS There was no association of outcomes with prePET parameters observed on multivariate analysis. A complete metabolic response of primary tumour was seen in 13 patients; the negative predictive value for local failure was 100%. More than a 50% reduction in total nodal MTV provided the best predictor of outcomes, including LRFFS (88% versus 47.1%, P = 0.006, hazard ratio = 0.153) and DFS (78.2% versus 41.2%, P = 0.01, hazard ratio = 0.234). More than a 50% reduction in index node TLG was inversely related to DMFFS: a better nodal response was associated with a higher incidence of distant metastatic failure (66.7% versus 100%, P = 0.009, hazard ratio = 3.0). CONCLUSION The reduction (≥50%) of volumetric nodal metabolic burden can potentially identify a subgroup of HPV+OPC patients at low risk of locoregional failure but inversely at higher risk of distant metastatic failure and may have a role in individualised adaptive radiotherapy and systemic therapy.
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Affiliation(s)
- P Lin
- Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, New South Wales, Australia; South Western Sydney Clinical School, University of New South Wales, New South Wales, Australia; School of Medicine, Western Sydney University, New South Wales, Australia.
| | - M Min
- Department of Radiation Oncology, Sunshine Coast University Hospital, Queensland, Australia; Faculty of Science, Health, Education and Engineering, University of Sunshine Coast, Queensland, Australia; Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - K Lai
- Department of Nuclear Medicine and PET, Liverpool Hospital, Liverpool, New South Wales, Australia; School of Medicine, Western Sydney University, New South Wales, Australia
| | - M Lee
- South Western Sydney Clinical School, University of New South Wales, New South Wales, Australia; Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - L Holloway
- South Western Sydney Clinical School, University of New South Wales, New South Wales, Australia; School of Medicine, Western Sydney University, New South Wales, Australia; Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia; Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia
| | - W Xuan
- South Western Sydney Clinical School, University of New South Wales, New South Wales, Australia; Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia
| | - V Bray
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - A Fowler
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - C S Lee
- South Western Sydney Clinical School, University of New South Wales, New South Wales, Australia; School of Medicine, Western Sydney University, New South Wales, Australia; Ingham Institute of Applied Medical Research, Liverpool, New South Wales, Australia; Department of Anatomical Pathology, Liverpool Hospital, Liverpool, New South Wales, Australia; Central Clinical School, University of Sydney, New South Wales, Australia
| | - J Yong
- Department of Anatomical Pathology, Liverpool Hospital, Liverpool, New South Wales, Australia
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22
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Yoon H, Ha S, Kwon SJ, Park SY, Kim J, O JH, Yoo IR. Prognostic value of tumor metabolic imaging phenotype by FDG PET radiomics in HNSCC. Ann Nucl Med 2021; 35:370-377. [PMID: 33554314 DOI: 10.1007/s12149-021-01586-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 12/28/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVE Tumor metabolic phenotype can be assessed with integrated image pattern analysis of 18F-fluoro-deoxy-glucose (FDG) Positron Emission Tomography/Computed Tomography (PET/CT), called radiomics. This study was performed to assess the prognostic value of radiomics PET parameters in head and neck squamous cell carcinoma (HNSCC) patients. METHODS 18F-fluoro-deoxy-glucose (FDG) PET/CT data of 215 patients from HNSCC collection free database in The Cancer Imaging Archive (TCIA), and 122 patients in Seoul St. Mary's Hospital with baseline FDG PET/CT for locally advanced HNSCC were reviewed. Data from TCIA database were used as a training cohort, and data from Seoul St. Mary's Hospital as a validation cohort. With the training cohort, primary tumors were segmented by Nestles' adaptive thresholding method. Segmental tumors in PET images were preprocessed using relative resampling of 64 bins. Forty-two PET parameters, including conventional parameters and texture parameters, were measured. Binary groups of homogeneous imaging phenotypes, clustered by K-means method, were compared for overall survival (OS) and disease-free survival (DFS) by log-rank test. Selected individual radiomics parameters were tested along with clinical factors, including age and sex, by Cox-regression test for OS and DFS, and the significant parameters were tested with multivariate analysis. Significant parameters on multivariate analysis were again tested with multivariate analysis in the validation cohort. RESULTS A total of 119 patients, 70 from training, and 49 from validation cohort, were included in the study. The median follow-up period was 62 and 52 months for the training and the validation cohort, respectively. In the training cohort. binary groups with different metabolic radiomics phenotypes showed significant difference in OS (p = 0.036), and borderline difference in DFS (p = 0.086). Gray-Level Non-Uniformity for zone (GLNUGLZLM) was the most significant prognostic factor for both OS (hazard ratio [HR] 3.1, 95% confidence interval [CI] 1.4-7.3, p = 0.008) and DFS (HR 4.5, CI 1.3-16, p = 0.020). Multivariate analysis revealed GLNUGLZLM as an independent prognostic factor for OS (HR 3.7, 95% CI 1.1-7.5, p = 0.032). GLNUGLZLM remained as an independent prognostic factor in the validation cohort (HR 14.8. 95% CI 3.3-66, p < 0.001). CONCLUSIONS Baseline FDG PET radiomics contain risk information for survival prognosis in HNSCC patients. The metabolic heterogeneity parameter, GLNUGLZLM, may assist clinicians in patient risk assessment as a feasible prognostic factor.
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Affiliation(s)
- Hyukjin Yoon
- Division of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Seunggyun Ha
- Division of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
| | - Soo Jin Kwon
- Division of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Sonya Youngju Park
- Division of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Jihyun Kim
- Division of Nuclear Medicine, Department of Radiology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, South Korea
| | - Joo Hyun O
- Division of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Ie Ryung Yoo
- Division of Nuclear Medicine, Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
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Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review. Biomedicines 2020; 8:biomedicines8090304. [PMID: 32846986 PMCID: PMC7556033 DOI: 10.3390/biomedicines8090304] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/14/2020] [Accepted: 08/21/2020] [Indexed: 12/22/2022] Open
Abstract
Radiomics or textural feature extraction obtained from positron emission tomography (PET) images through complex mathematical models of the spatial relationship between multiple image voxels is currently emerging as a new tool for assessing intra-tumoral heterogeneity in medical imaging. In this paper, available literature on texture analysis using FDG PET imaging in patients suffering from tumors of the gastro-intestinal tract is reviewed. While texture analysis of FDG PET images appears clinically promising, due to the lack of technical specifications, a large variability in the implemented methodology used for texture analysis and lack of statistical robustness, at present, no firm conclusions can be drawn regarding the predictive or prognostic value of FDG PET texture analysis derived indices in patients suffering from gastro-enterologic tumors. In order to move forward in this field, a harmonized image acquisition and processing protocol as well as a harmonized protocol for texture analysis of tumor volumes, allowing multi-center studies excluding statistical biases should be considered. Furthermore, the complementary and additional value of CT-imaging, as part of the PET/CT imaging technique, warrants exploration.
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Li X, Wang D, Yu L. Prognostic and Predictive Values of Metabolic Parameters of 18F-FDG PET/CT in Patients With Non-Small Cell Lung Cancer Treated With Chemotherapy. Mol Imaging 2020; 18:1536012119846025. [PMID: 31144578 PMCID: PMC6545646 DOI: 10.1177/1536012119846025] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Objectives: Increasing interests have been focused on using artificial intelligence (AI) to extend
prognostic value of medical imaging. Feature extraction is a critical step for
successful application of AI. The aim of this study was to explore several metabolic
parameters measured by 18F-fluorodeoxyglucose positron emission
tomography/computed tomography (PET/CT) as potential AI features in predicting the
effectiveness of chemotherapy in patients with non-small cell lung cancer (NSCLC). Methods: A set of metabolic parameters of PET/CT and clinical characteristics were detected from
137 patients with NSCLC treated with at least 1 cycle of chemotherapy. Survival
receiver–operating characteristic (ROC) analysis was used to define the more significant
parameters chosen for the following survival analysis. Patient survival was analyzed by
Kaplan-Meier method, log-rank test, and Cox regression. Results: Survival ROC showed that maximum standardized uptake value (SUVmax), metabolic tumor
volume 50% (MTV50), and total lesion glycolysis 50% (TLG50) had larger area under the
curve, and the optimal cutoff values were 11.72, 4.04, and 34.55, respectively.
Univariate and multivariate analyses synergistically showed that late PET/CT stage and
MTV50 >4.04 were independent factors of poor survival in patients with NSCLC who
received chemotherapy. Conclusions: Several potential prognostic biomarkers of PET/CT imaging have been extracted for
predicting survival and selecting patients with NSCLC who are more likely to benefit
from chemotherapy. The identification may accelerate the development of AI methods to
improve treatment outcome for NSCLC.
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Affiliation(s)
- Xueyan Li
- 1 PET/CT Center, Harbin Medical University Cancer Hospital, Haerbin, China
| | - Dawei Wang
- 2 Department of Medical Imaging, Heilongjiang Provincial Hospital, Haerbin, China
| | - Lijuan Yu
- 1 PET/CT Center, Harbin Medical University Cancer Hospital, Haerbin, China.,3 Nuclear Medicine Department, Hainan Cancer Hospital, Haikou, China
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25
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Potential Applications of PET-Based Novel Quantitative Techniques in Pediatric Diseases and Disorders. PET Clin 2020; 15:281-284. [PMID: 32498983 DOI: 10.1016/j.cpet.2020.03.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The progress made in hybrid PET imaging during the past decades has significantly expanded the role of this modality in both clinical and research applications. Semi-quantitative PET/CT has been the workhorse of clinical PET/CT due to its simplicity and availability. In addition to semi-quantitative PET/CT, volumetric PET and global metabolic activity have recently shown promise in a more accurate assessment of various diseases. PET/CT has been widely used in pediatric oncologic and non-oncologic diseases. Here we have highlighted few of the pitfalls in the quantitative PET/CT and their potential remedies which have potential in PET/CT evaluation of pediatric diseases.
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The relationship between FDG PET/CT-defined metabolic parameters and the histopathological subtype of oesophageal carcinomas. Pol J Radiol 2020; 85:e254-e260. [PMID: 32612724 PMCID: PMC7315051 DOI: 10.5114/pjr.2020.95945] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 04/20/2020] [Indexed: 12/24/2022] Open
Abstract
Purpose 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) combined with computed tomography (CT) scan is accepted as a standard tool in the staging of oesophageal cancer (OC). Histological subtype of tumour is known to be a major determinant of prognosis and metabolic behaviour. In this study, we aimed to evaluate the effect of histological subtypes of OC on standard uptake value (SUVmax), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) obtained by PET/CT, and also to compare this effect with prognosis. Material and methods Images and clinical course data of 57 patients who were diagnosed with EC and treated in our hospital between 2009 and 2016 were evaluated in a retrospective manner. PET/CT images were re-analysed in terms of metabolic parameters, and observations were compared with histological subtypes. Results No significant difference was observed between histological subtypes with SUVmax, overall survival (OS), or progression-free survival (PFS). Thus, MTV was observed to be related with histological subtype; MTV values of adenocancer patients were significantly higher than those of squamous cell cancer patients. Conclusions Metabolic tumour volume was related with histological subtype of OC, but clinical staging, TLG, and SUVmax values were not related with histological subtype, which may suggest the use of MTV as a routine parameter for OC and inclusion of MTV observations in prognostic scoring.
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A Pilot Study of Texture Analysis of Primary Tumor [ 18F]FDG Uptake to Predict Recurrence in Surgically Treated Patients with Non-small Cell Lung Cancer. Mol Imaging Biol 2020; 21:771-780. [PMID: 30397859 DOI: 10.1007/s11307-018-1290-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
PURPOSE To examine whether the heterogeneous texture parameters in primary tumor can predict prognosis of patients with non-small cell lung cancer (NSCLC) received surgery after 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomography (PET)/X-ray computed tomography (CT). PROCEDURE This retrospective study included 55 patients with NSCLC who underwent [18F]FDG-PET/CT before surgery from January 2011 and December 2015. SUV-related (SUVmax and SUVmean), volumetric (metabolic tumor volume [SUV ≥ 2.5], and total lesion glycolysis) and texture parameters (local parameters; entropy, homogeneity, and dissimilarity and regional parameters; intensity variability [IV], size-zone variability [SZV], and zone percentage [ZP]) were obtained. Tumor size, TNM stage, SUV-related, volumetric, and texture parameters were compared between the patients with progression and without progression using Mann-Whitney's U or χ2 test and progression-free survival (PFS) and prognostic significance were assessed by Kaplan-Meier method and Cox regression analysis, respectively. RESULTS Nineteen patients eventually showed progression, and 36 patients were alive without progression during clinical follow-up (median follow-up PFS; 23 months [range, 1-71]). The patients with progression showed significantly larger tumor size (p < 0.001), higher IV (p = 0.010), and higher SZV (p = 0.007) than those without progression. PFS was significantly shorter in patients with large tumor size (p = 0.008), high T stage (p = 0.009), high stage (p = 0.013), high IV (p = 0.012), and high SZV (p = 0.015) at univariate analysis. At multivariate analysis, stage (hazard ratio [HR] 1.62, p = 0.035) and IV (hazard ratio 6.19, p = 0.048) were only remained independent predictors for PFS. CONCLUSIONS The regional heterogeneity texture parameters IV and SZV can predict tumor progression, and IV has the potential to predict prognosis of surgically treated NSCLC patients.
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Polverari G, Ceci F, Bertaglia V, Reale ML, Rampado O, Gallio E, Passera R, Liberini V, Scapoli P, Arena V, Racca M, Veltri A, Novello S, Deandreis D. 18F-FDG Pet Parameters and Radiomics Features Analysis in Advanced Nsclc Treated with Immunotherapy as Predictors of Therapy Response and Survival. Cancers (Basel) 2020; 12:cancers12051163. [PMID: 32380754 PMCID: PMC7281558 DOI: 10.3390/cancers12051163] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/21/2020] [Accepted: 04/30/2020] [Indexed: 01/04/2023] Open
Abstract
Objectives: (1.1) to evaluate the association between baseline 18F-FDG PET/CT semi-quantitative parameters of the primary lesion with progression free survival (PFS), overall survival (OS) and response to immunotherapy, in advanced non-small cell lung carcinoma (NSCLC) patients eligible for immunotherapy; (1.2) to evaluate the application of radiomics analysis of the primary lesion to identify features predictive of response to immunotherapy; (1.3) to evaluate if tumor burden assessed by 18F-FDG PET/CT (N and M factors) is associated with PFS and OS. Materials and Methods: we retrospectively analyzed clinical records of advanced NCSLC patients (stage IIIb/c or stage IV) candidate to immunotherapy who performed 18F-FDG PET/CT before treatment to stage the disease. Fifty-seven (57) patients were included in the analysis (F:M 17:40; median age = 69 years old). Notably, 38/57 of patients had adenocarcinoma (AC), 10/57 squamous cell carcinoma (SCC) and 9/57 were not otherwise specified (NOS). Overall, 47.4% patients were stage IVA, 42.1% IVB and 8.8% IIIB. Immunotherapy was performed as front-line therapy in 42/57 patients and as second line therapy after chemotherapy platinum-based in 15/57. The median follow up after starting immunotherapy was 10 months (range: 1.5–68.6). Therapy response was assessed by RECIST 1.1 criteria (CT evaluation every 4 cycles of therapy) in 48/57 patients or when not feasible by clinical and laboratory data (fast disease progression or worsening of patient clinical condition in nine patients). Radiomics analysis was performed by applying regions of interest (ROIs) of the primary tumor delineated manually by two operators and semi-automatically applying a threshold at 40% of SUVmax. Results: (1.1) metabolic tumor volume (MTV) (p = 0.028) and total lesion glycolysis (TLG) (p = 0.035) were significantly associated with progressive vs. non-progressive disease status. Patients with higher values of MTV and TLG had higher probability of disease progression, compared to those patients presenting with lower values. SUVmax did not show correlation with PD status, PFS and OS. MTV (p = 0.027) and TLG (p = 0.022) also resulted in being significantly different among PR, SD and PD groups, while SUVmax was confirmed to not be associated with response to therapy (p = 0.427). (1.2) We observed the association of several radiomics features with PD status. Namely, patients with high tumor volume, TLG and heterogeneity expressed by “skewness” and “kurtosis” had a higher probability of failing immunotherapy. (1.3) M status at 18F-FDG PET/CT was significantly associated with PFS (p = 0.002) and OS (p = 0.049). No significant associations were observed for N status. Conclusions: 18F-FDG PET/CT performed before the start of immunotherapy might be an important prognostic tool able to predict the disease progression and response to immunotherapy in patients with advanced NSCLC, since MTV, TLG and radiomics features (volume and heterogeneity) are associated with disease progression.
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Affiliation(s)
- Giulia Polverari
- Division of Nuclear Medicine, Department of Medical Sciences, University of Turin, AOU Città della Salute e della Scienza, 10126 Turin, Italy; (G.P.); (R.P.); (V.L.); (D.D.)
- PET/CT Center, Affidea IRMET, 10135 Turin, Italy;
| | - Francesco Ceci
- Division of Nuclear Medicine, Department of Medical Sciences, University of Turin, AOU Città della Salute e della Scienza, 10126 Turin, Italy; (G.P.); (R.P.); (V.L.); (D.D.)
- Correspondence:
| | - Valentina Bertaglia
- Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, 10043 Torino, Italy; (V.B.); (M.L.R.); (S.N.)
| | - Maria Lucia Reale
- Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, 10043 Torino, Italy; (V.B.); (M.L.R.); (S.N.)
| | - Osvaldo Rampado
- Medical Physics Unit, S.C. Fisica Sanitaria, A.O.U. Città della Salute e della Scienza, 10135 Turin, Italy; (O.R.); (E.G.)
| | - Elena Gallio
- Medical Physics Unit, S.C. Fisica Sanitaria, A.O.U. Città della Salute e della Scienza, 10135 Turin, Italy; (O.R.); (E.G.)
| | - Roberto Passera
- Division of Nuclear Medicine, Department of Medical Sciences, University of Turin, AOU Città della Salute e della Scienza, 10126 Turin, Italy; (G.P.); (R.P.); (V.L.); (D.D.)
| | - Virginia Liberini
- Division of Nuclear Medicine, Department of Medical Sciences, University of Turin, AOU Città della Salute e della Scienza, 10126 Turin, Italy; (G.P.); (R.P.); (V.L.); (D.D.)
| | - Paola Scapoli
- Nuclear Medicine, Istituto per la Ricerca e la Cura del Cancro (IRCC), 10060 Candiolo, Italy; (P.S.); (M.R.)
| | | | - Manuela Racca
- Nuclear Medicine, Istituto per la Ricerca e la Cura del Cancro (IRCC), 10060 Candiolo, Italy; (P.S.); (M.R.)
| | - Andrea Veltri
- Radiology Unit, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, 10043 Torino, Italy;
| | - Silvia Novello
- Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, 10043 Torino, Italy; (V.B.); (M.L.R.); (S.N.)
| | - Désirée Deandreis
- Division of Nuclear Medicine, Department of Medical Sciences, University of Turin, AOU Città della Salute e della Scienza, 10126 Turin, Italy; (G.P.); (R.P.); (V.L.); (D.D.)
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Visual and volumetric parameters by 18F-FDG-PET/CT: a head to head comparison for the prediction of outcome in patients with multiple myeloma. Ann Hematol 2019; 99:127-135. [DOI: 10.1007/s00277-019-03852-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 11/17/2019] [Indexed: 12/22/2022]
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30
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Nakajo M, Jinguji M, Aoki M, Tani A, Sato M, Yoshiura T. The clinical value of texture analysis of dual-time-point 18F-FDG-PET/CT imaging to differentiate between 18F-FDG-avid benign and malignant pulmonary lesions. Eur Radiol 2019; 30:1759-1769. [DOI: 10.1007/s00330-019-06463-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 08/01/2019] [Accepted: 09/18/2019] [Indexed: 12/16/2022]
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Pellegrino S, Fonti R, Mazziotti E, Piccin L, Mozzillo E, Damiano V, Matano E, De Placido S, Del Vecchio S. Total metabolic tumor volume by 18F-FDG PET/CT for the prediction of outcome in patients with non-small cell lung cancer. Ann Nucl Med 2019; 33:937-944. [PMID: 31612416 DOI: 10.1007/s12149-019-01407-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 09/29/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) are imaging parameters derived from 18F-FDG PET/CT that have been proposed for risk stratification of cancer patients. The aim of our study was to test whether these whole-body volumetric imaging parameters may predict outcome in patients with non-small cell lung cancer (NSCLC). METHODS Sixty-five patients (45 men, 20 women; mean age ± SD, 65 ± 12 years), with histologically proven NSCLC who had undergone 18F-FDG PET/CT scan before any therapy, were included in the study. Imaging parameters including SUVmax, SUVmean, total MTV (MTVTOT) and whole-body TLG (TLGWB) were determined. Univariate and multivariate analyses of clinical and imaging variables were performed using Cox proportional hazards regression. Survival analysis was performed using Kaplan-Meier method and log-rank tests. RESULTS A total of 298 lesions were analyzed including 65 primary tumors, 114 metastatic lymph nodes and 119 distant metastases. MTVTOT and TLGWB could be determined in 276 lesions. Mean value of MTVTOT was 81.83 ml ± 14.63 ml (SE) whereas mean value of TLGWB was 459.88 g ± 77.02 g (SE). Univariate analysis showed that, among the variables tested, primary tumor diameter (p = 0.0470), MTV of primary tumor (p = 0.0299), stage (p < 0.0001), treatment (p < 0.0001), MTVTOT (p = 0.0003) and TLGWB (p = 0.0002) predicted progression-free survival in NSCLC patients, while age (p = 0.0550), MTV of primary tumor (p = 0.0375), stage (p < 0.0001), treatment (p < 0.0001), MTVTOT (p = 0.0001) and TLGWB (p = 0.0008) predicted overall survival. At multivariate analysis age, TLGWB and stage were retained in the model for prediction of progression-free survival (p < 0.0001), while age, MTVTOT and stage were retained in the model for prediction of overall survival (p < 0.0001). Survival analysis showed that patients with TLGWB ≤ 54.7 g had a significantly prolonged progression-free survival as compared to patients with TLGWB > 54.7 g (p < 0.0001). Moreover, overall survival was significantly better in patients showing a MTVTOT ≤ 9.5 ml as compared to those having MTVTOT > 9.5 ml (p < 0.0001). Similar results were obtained in a subgroup of 43 patients with advanced disease (stages III and IV). CONCLUSIONS Whole-body PET-based volumetric imaging parameters are able to predict outcome in NSCLC patients.
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Affiliation(s)
- Sara Pellegrino
- Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini 5, Edificio 10, 80131, Naples, Italy
| | - Rosa Fonti
- Institute of Biostructures and Bioimages, National Research Council, Naples, Italy
| | - Emanuela Mazziotti
- Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini 5, Edificio 10, 80131, Naples, Italy
| | - Luisa Piccin
- Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy
| | - Eleonora Mozzillo
- Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy
| | - Vincenzo Damiano
- Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy
| | - Elide Matano
- Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy
| | - Sabino De Placido
- Department of Clinical Medicine and Surgery, University "Federico II", Naples, Italy
| | - Silvana Del Vecchio
- Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini 5, Edificio 10, 80131, Naples, Italy. .,Institute of Biostructures and Bioimages, National Research Council, Naples, Italy.
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Prognostic value of 18F-FDG PET/MR imaging biomarkers in oesophageal squamous cell carcinoma. Eur J Radiol 2019; 120:108671. [PMID: 31629121 DOI: 10.1016/j.ejrad.2019.108671] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 09/05/2019] [Accepted: 09/12/2019] [Indexed: 12/14/2022]
Abstract
PURPOSE To correlate the clinical stage and prognosis of oesophageal squamous cell carcinoma (SCC) using the imaging biomarkers from integrated positron emission tomography (PET)/magnetic resonance imaging (MRI). METHODS In total, 54 consecutive patients with oesophageal SCC who receive PET/MRI scan were recruited before treatment. The imaging biomarkers used were the mean and minimal apparent diffusion coefficients (ADCmean and ADCmin), standardized uptake value (SUV), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) of tumours. The correlation between each imaging biomarker and survival was investigated using the Cox proportional hazards model. RESULTS ADCmean was negatively correlated with SUVmax (r = -0.414, P = 0.025). ADCmin was negatively correlated with SUVmax (r = -0.423, P = 0.001) and SUVpeak (r = -0.402, P = 0.003), and was significantly lower in M1 than in M0 tumours (829.6 vs. 1069.8, P = 0.005). MTV was significantly higher in T3 + (P < 0.001), N1 + (P = 0.014) and TNM stage III + (P < 0.001) tumours. TLG was significantly higher in T3 + (P < 0.001), N1 + (P < 0.001), M1 (P = 0.045) and TNM stage III + (P < 0.001) tumours. The MTV/ADCmin ratio exhibited the highest area under the receiver operating characteristic curve (AUROC) for predicting M1 and advanced TNM stage tumours. Multivariate analysis for progression-free survival (PFS) and overall survival (OS) showed that a larger MTV/ADCmin was associated with a shorter PFS and OS (P = 0.024 and 0.046, respectively). CONCLUSION The imaging biomarkers in integrated PET/MRI may predict clinical stage and survival in patients with oesophageal SCC.
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Liu G, Hu Y, Cheng X, Wang Y, Gu Y, Liu T, Shi H. Volumetric parameters on 18F-FDG PET/CT predict the survival of patients with gastric cancer associated with their expression status of c-MET. BMC Cancer 2019; 19:790. [PMID: 31395059 PMCID: PMC6686274 DOI: 10.1186/s12885-019-5935-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 07/12/2019] [Indexed: 12/17/2022] Open
Abstract
Background This study aimed to investigate the prognostic value of volumetric parameters on 18F- fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in gastric-cancer patients, according to the expression status of c-MET (MET proto-oncogene, receptor tyrosine kinase), which was previously unclear. Methods The study included 61 patients with advanced gastric cancer. Data on the baseline 18F-FDG PET/CT, clinical-pathological information, progression-free survival (PFS), and overall survival (OS) were collected. The maximum standardized uptake value (SUVmax), peak SUV (SUVpeak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of gastric tumors in situ were measured on PET/CT. The expression status of c-MET was recorded based on immunohistochemical staining. Associations between the parameters on PET/CT and patients’ survival outcomes were analyzed in relation to expression status of c-MET. Results Patients with positive c-MET expression had significantly shorter PFS (11.5 vs. 17.6 months, P = 0.039) and OS (17.0 vs. 24.3 months, P = 0.043), and had gastric tumors with a larger MTV (70.8 ± 53.11 vs. 41.1 ± 52.32, P = 0.034) and TLG (428.39 ± 442.95 vs. 205.7 ± 354.40, P = 0.039), compared with those with negative c-MET expression. However, SUVmax (9.6 ± 7.40 vs. 8.0 ± 4.91, P = 0.335) and SUVpeak (7.7 ± 5.99 vs. 6.62 ± 4.08, P = 0.438) were similar between these two patient groups. In patients with c-MET-positive tumors, MTV and TLG were independent factors in predicting patient OS after correction by distant metastasis (hazards ratio = 1.014 and 1.002, respectively; P = 0.024 and 0.027, respectively), while these associations were not significant in patients with c-MET-negative tumors. Conclusions Patients with c-MET-positive gastric cancer had higher MTV and TLG values compared to those with c-MET-negative gastric cancer. In patients with c-MET-positive gastric cancer, volumetric parameters on 18F-FDG PET/CT have prognostic value for patient overall survival.
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Affiliation(s)
- Guobing Liu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yan Hu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Xi Cheng
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yan Wang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yushen Gu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Tianshu Liu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China.
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China.
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Yang CK, Yeh JCY, Yu WH, Chien LI, Lin KH, Huang WS, Hsu PK. Deep Convolutional Neural Network-Based Positron Emission Tomography Analysis Predicts Esophageal Cancer Outcome. J Clin Med 2019; 8:jcm8060844. [PMID: 31200519 PMCID: PMC6616908 DOI: 10.3390/jcm8060844] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 06/11/2019] [Accepted: 06/12/2019] [Indexed: 02/06/2023] Open
Abstract
In esophageal cancer, few prediction tools can be confidently used in current clinical practice. We developed a deep convolutional neural network (CNN) with 798 positron emission tomography (PET) scans of esophageal squamous cell carcinoma and 309 PET scans of stage I lung cancer. In the first stage, we pretrained a 3D-CNN with all PET scans for a task to classify the scans into esophageal cancer or lung cancer. Overall, 548 of 798 PET scans of esophageal cancer patients were included in the second stage with an aim to classify patients who expired within or survived more than one year after diagnosis. The area under the receiver operating characteristic curve (AUC) was used to evaluate model performance. In the pretrain model, the deep CNN attained an AUC of 0.738 in identifying patients who expired within one year after diagnosis. In the survival analysis, patients who were predicted to be expired but were alive at one year after diagnosis had a 5-year survival rate of 32.6%, which was significantly worse than the 5-year survival rate of the patients who were predicted to survive and were alive at one year after diagnosis (50.5%, p < 0.001). These results suggest that the prediction model could identify tumors with more aggressive behavior. In the multivariable analysis, the prediction result remained an independent prognostic factor (hazard ratio: 2.830; 95% confidence interval: 2.252–3.555, p < 0.001). We conclude that a 3D-CNN can be trained with PET image datasets to predict esophageal cancer outcome with acceptable accuracy.
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Affiliation(s)
| | | | | | - Ling-I Chien
- Department of Nursing, Taipei Veterans General Hospital, Taipei 112, Taiwan.
| | - Ko-Han Lin
- Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
| | - Wen-Sheng Huang
- Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
| | - Po-Kuei Hsu
- Division of Thoracic Surgery, Department of Surgery, Taipei Veterans General Hospital and School of Medicine, National Yang-Ming University, Taipei 112, Taiwan.
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van Timmeren JE, Carvalho S, Leijenaar RTH, Troost EGC, van Elmpt W, de Ruysscher D, Muratet JP, Denis F, Schimek-Jasch T, Nestle U, Jochems A, Woodruff HC, Oberije C, Lambin P. Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics. PLoS One 2019; 14:e0217536. [PMID: 31158263 PMCID: PMC6546238 DOI: 10.1371/journal.pone.0217536] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 05/11/2019] [Indexed: 12/22/2022] Open
Abstract
Background Prognostic models based on individual patient characteristics can improve treatment decisions and outcome in the future. In many (radiomic) studies, small size and heterogeneity of datasets is a challenge that often limits performance and potential clinical applicability of these models. The current study is example of a retrospective multi-centric study with challenges and caveats. To highlight common issues and emphasize potential pitfalls, we aimed for an extensive analysis of these multi-center pre-treatment datasets, with an additional 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) scan acquired during treatment. Methods The dataset consisted of 138 stage II-IV non-small cell lung cancer (NSCLC) patients from four different cohorts acquired from three different institutes. The differences between the cohorts were compared in terms of clinical characteristics and using the so-called ‘cohort differences model’ approach. Moreover, the potential prognostic performances for overall survival of radiomic features extracted from CT or FDG-PET, or relative or absolute differences between the scans at the two time points, were assessed using the LASSO regression method. Furthermore, the performances of five different classifiers were evaluated for all image sets. Results The individual cohorts substantially differed in terms of patient characteristics. Moreover, the cohort differences model indicated statistically significant differences between the cohorts. Neither LASSO nor any of the tested classifiers resulted in a clinical relevant prognostic model that could be validated on the available datasets. Conclusion The results imply that the study might have been influenced by a limited sample size, heterogeneous patient characteristics, and inconsistent imaging parameters. No prognostic performance of FDG-PET or CT based radiomics models can be reported. This study highlights the necessity of extensive evaluations of cohorts and of validation datasets, especially in retrospective multi-centric datasets.
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Affiliation(s)
- Janna E. van Timmeren
- The D-Lab: Decision Support for Precision Medicine, GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Radiation Oncology (MAASTRO clinic), GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
- * E-mail:
| | - Sara Carvalho
- Department of Radiation Oncology (MAASTRO clinic), GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Ralph T. H. Leijenaar
- The D-Lab: Decision Support for Precision Medicine, GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Esther G. C. Troost
- OncoRay–National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Cal Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden–Rossendorf, Dresden, Germany
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Helmholtz-Zentrum Dresden–Rossendorf, Institute of Radiooncology—OncoRay, Dresden, Germany
- German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT) Partner Site Dresden, Dresden, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Helmholtz Association / Helmholtz-Zentrum Dresden–Rossendorf (HZDR), Dresden, Germany
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO clinic), GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Dirk de Ruysscher
- Department of Radiation Oncology (MAASTRO clinic), GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | | | - Fabrice Denis
- Centre Jean Bernard, Clinique Victor Hugo, Le Mans, France
| | - Tanja Schimek-Jasch
- Department for Radiation Oncology, University Medical Center Freiburg, Freiburg, Germany
| | - Ursula Nestle
- Department for Radiation Oncology, University Medical Center Freiburg, Freiburg, Germany
| | - Arthur Jochems
- The D-Lab: Decision Support for Precision Medicine, GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Henry C. Woodruff
- The D-Lab: Decision Support for Precision Medicine, GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Cary Oberije
- The D-Lab: Decision Support for Precision Medicine, GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Philippe Lambin
- The D-Lab: Decision Support for Precision Medicine, GROW—School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
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Kimura M, Kato I, Ishibashi K, Shibata A, Nishiwaki S, Fukumura M, Sone Y, Nagao T, Umemura M. The prognostic significance of intratumoral heterogeneity of 18F-FDG uptake in patients with oral cavity squamous cell carcinoma. Eur J Radiol 2019; 114:99-104. [DOI: 10.1016/j.ejrad.2019.03.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 03/07/2019] [Accepted: 03/09/2019] [Indexed: 01/17/2023]
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Chiappetta M, Meacci E, Nachira D, Petracca Ciavarella L, Margaritora S. Wedge resection, segmentectomy or lobectomy: the correct choice considering the risk of lobar lymph node involvement. J Thorac Dis 2019; 11:618-620. [PMID: 31019740 DOI: 10.21037/jtd.2019.02.87] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Marco Chiappetta
- Department of Thoracic Surgery, Università Cattolica del Sacro Cuore, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Elisa Meacci
- Department of Thoracic Surgery, Università Cattolica del Sacro Cuore, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Dania Nachira
- Department of Thoracic Surgery, Università Cattolica del Sacro Cuore, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Leonardo Petracca Ciavarella
- Department of Thoracic Surgery, Università Cattolica del Sacro Cuore, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Stefano Margaritora
- Department of Thoracic Surgery, Università Cattolica del Sacro Cuore, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
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Lawal IO, Lengana T, Janse van Rensburg C, Reyneke F, Popoola GO, Ankrah AO, Sathekge MM. Fluorodeoxyglucose Positron Emission Tomography integrated with computed tomography in carcinoma of the cervix: Its impact on accurate staging and the predictive role of its metabolic parameters. PLoS One 2019; 14:e0215412. [PMID: 30998728 PMCID: PMC6472757 DOI: 10.1371/journal.pone.0215412] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Accepted: 04/01/2019] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVES To determine the impact of FDG-PET/CT in the initial staging of cervical cancer among women with and without HIV and to determine the abilities of FDG-PET/CT metabolic parameters in predicting the presence of distant metastasis. METHODS We reviewed the FDG-PET/CT images of women with FIGO stage IB2 to IVA carcinoma of the cervix. We compared the FIGO stage before and after FDG-PET/CT. Maximum and mean standardized uptake values (SUVmax and SUVmean), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of the primary lesion were determined. We compared these parameters between the HIV-infected and uninfected woman and also determined their abilities to predict the presence of distant metastasis. RESULTS 126 women, mean age 48.05 ± 11.80 years were studied. Seventy-three patients were HIV-infected. The disease was upstaged in 65 patients, 32 of which were upstaged to stage IVB. HIV-infected women were younger (43.36 ± 8.03 years versus 54.51 ± 13.12, p<0.001) and had more advanced disease (p = 0.022) compared with HIV-uninfected. In a univariate logistic regression adjusted for the FIGO stage of the disease, there were significant associations between MTV and TLG of the primary tumor and distant metastasis. SUVmax, SUVmean, MTV and TLG performed well in predicting the presence of distant metastasis with areas under the curves (AUCs) of 0.63, 0.66, 0.80 and 0.77 respectively. These performances improved after adjustment for the FIGO stage of the disease with AUCs of 0.80, 0.79, 0.84 and 0.82 for SUVmax, SUVmean, MTV and TLG respectively. CONCLUSION Inclusion of 18F-FDG-PET/CT in the pre-therapy assessment of cervical cancer improves the accuracy of staging in about half of the patients. The metabolic parameters of the primary tumor perform well in predicting the presence of distant metastases.
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Affiliation(s)
- Ismaheel O. Lawal
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa
| | - Thabo Lengana
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa
| | | | - Florette Reyneke
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa
| | - Gbenga O. Popoola
- Department of Epidemiology and Community Health, University of Ilorin, Ilorin, Nigeria
| | - Alfred O. Ankrah
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center, Groningen, The Netherlands
| | - Mike M. Sathekge
- Department of Nuclear Medicine, University of Pretoria, Pretoria, South Africa
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Gardin I, Grégoire V, Gibon D, Kirisli H, Pasquier D, Thariat J, Vera P. Radiomics: Principles and radiotherapy applications. Crit Rev Oncol Hematol 2019; 138:44-50. [PMID: 31092384 DOI: 10.1016/j.critrevonc.2019.03.015] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 12/26/2018] [Accepted: 03/26/2019] [Indexed: 12/14/2022] Open
Abstract
Radiomics is defined as the extraction of a large quantity of quantitative image features. The different radiomic indexes that have been proposed in the literature are described as well as the various factors that have an impact on the robustness of these indexes. We will see that several hundred quantitative features can be extracted per lesion and imaging modality. The ever-growing number of features studied raises the question of the statistical method of analysis used. This review addresses the research supporting the clinical use of radiomics in oncology in the staging of disease, discrimination between healthy and pathological tissues, the identification of genetic features, the prediction of patient survival, the response to treatment, the recurrence after radiotherapy and chemoradiotherapy and the side effects. Based on the existing literature, it remains difficult to identify features that should be used for current clinical practice.
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Affiliation(s)
- I Gardin
- Department of Nuclear Medicine, Centre Henri-Becquerel, France; LITIS EA4108, Normandie University, Rouen, France.
| | - V Grégoire
- Department of Radiation Oncology, Centre Léon Bérard, France
| | - D Gibon
- Research and Innovation Department, AQUILAB, Loos Les Lille, France
| | - H Kirisli
- Research and Innovation Department, AQUILAB, Loos Les Lille, France
| | - D Pasquier
- Department of Radiation Oncology, Centre Oscar Lambret, CRIStAL UMR CNRS 9189, Lille University, Lille, France
| | - J Thariat
- Radiotherapy Department, Centre François Baclesse, Caen, France
| | - P Vera
- Department of Nuclear Medicine, Centre Henri-Becquerel, France; LITIS EA4108, Normandie University, Rouen, France
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Shi H, Yuan Z, Yang C, Zhang J, Liu C, Sun J, Ye X. Role of multi-modality functional imaging in differentiation between benign and malignant thyroid 18F-fluorodeoxyglucose incidentaloma. Clin Transl Oncol 2019; 21:1561-1567. [PMID: 30924093 DOI: 10.1007/s12094-019-02089-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Accepted: 03/12/2019] [Indexed: 11/29/2022]
Abstract
PURPOSE To evaluate the diagnostic performance of multi-modality functional imaging in differentiating malignant and benign thyroid 18F-fluorodeoxyglucose (18F-FDG) incidentaloma. METHODS This study included 87 patients with thyroid 18F-FDG incidentalomas detected by 18F-FDG- positron emission tomography/computed tomography (18F-FDG-PET/CT) and diagnosed at surgery or biopsy, who received 18F-FDG-PET/CT, diffusion-weighted MR imaging (DWI) and ultrasound elastography (USE). The metabolic tumor volume (MTV), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC) values and ultrasound elasticity scores of thyroid 18F-FDG incidentalomas were measured and compared in benign and malignant thyroid incidentalomas. The differences of malignant and benign thyroid incidentalomas were tested by χ2 test, Fisher's exact test, t test, or Mann-Whitney U test. The diagnostic performance was evaluated and optimal cut-off values were determined in distinguishing malignant from benign thyroid incidentalomas by receiver operating characteristic curve analysis. RESULTS MTV, TLG and USE scores of malignant thyroid incidentalomas were significantly higher than benign; but ADC value was significantly lower. We defined the functional imaging parameters TLG < 2.48, ADC > 1.80 × 10-3mm2/s, and USE score of 1 as markers of benign thyroid incidentalomas and each scored -1 point; TLG ≥ 2.48, ADC ≤ 1.80 × 10-3mm2/s, and USE score of 4 as markers of malignancy and each scored 1 point. Combined multi-functional imaging parameters achieved the highest performance (84.6% sensitivity and 97.1% specificity) for distinguish malignant from benign thyroid incidentaloma with AUC 0.957 (95% CI 0.917, 0.997). CONCLUSIONS Functional imaging might help to distinguishing malignant from benign thyroid 18F-FDG incidentalomas, and combined multi-functional imaging parameters could improve it.
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Affiliation(s)
- H Shi
- Shanghai Universal Medical Imaging Diagnostic Center, 406 Gui Lin Road, Shanghai, 200233, People's Republic of China.,Department of Radiology, PET/CT Center, Shanghai 85 hospital, 1328 Hua Shan Road, Shanghai, 200052, People's Republic of China
| | - Z Yuan
- Department of Radiology, PET/CT Center, Shanghai 85 hospital, 1328 Hua Shan Road, Shanghai, 200052, People's Republic of China.
| | - C Yang
- Shanghai Universal Medical Imaging Diagnostic Center, 406 Gui Lin Road, Shanghai, 200233, People's Republic of China.,Department of Radiology, PET/CT Center, Shanghai 85 hospital, 1328 Hua Shan Road, Shanghai, 200052, People's Republic of China
| | - J Zhang
- Shanghai Universal Medical Imaging Diagnostic Center, 406 Gui Lin Road, Shanghai, 200233, People's Republic of China.,Department of Radiology, PET/CT Center, Shanghai 85 hospital, 1328 Hua Shan Road, Shanghai, 200052, People's Republic of China
| | - C Liu
- Shanghai Universal Medical Imaging Diagnostic Center, 406 Gui Lin Road, Shanghai, 200233, People's Republic of China
| | - J Sun
- Shanghai Universal Medical Imaging Diagnostic Center, 406 Gui Lin Road, Shanghai, 200233, People's Republic of China
| | - X Ye
- Department of Radiology, Shanghai Chest Hospital, Shanghai Jiaotong University, 241 west Huaihai Road, Shanghai, 200030, People's Republic of China.
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Sun G, Cheng C, Li X, Wang T, Yang J, Li D. Metabolic tumor burden on postsurgical PET/CT predicts survival of patients with gastric cancer. Cancer Imaging 2019; 19:18. [PMID: 30902116 PMCID: PMC6431021 DOI: 10.1186/s40644-019-0205-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 03/15/2019] [Indexed: 12/30/2022] Open
Abstract
Background The prognostic value of postoperative 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) to patients with gastric cancer remains unclear. This study aims to investigate the prognostic value of whole body (WB) metabolic tumor burden (MTBWB) on postsurgical 18F-FDG PET/CT to patients with gastric cancer. Methods A total of 376 patients with surgeries-confirmed gastric cancer were enrolled. Clinicopathologic information, overall survival (OS) and MTBWB parameters on postsurgical PET/CT, in terms of WB maximum standardized uptake value (SUVWBmax), WB metabolic tumor volume (MTVWB), and WB total lesion glycolysis (TLGWB) were collected. In-between differences of patient clinicopathologic characteristics, OS and MTBWB measurements were compared using chi-square test, Fisher’s exact test, Student’s t test or the Kaplan-Meier survival analysis. The optimal cutoffs of MTBWB measurements were calculated through the receiver operating characteristic (ROC) curve analysis. Univariable and multivariable Cox proportional hazard regression were performed to test the predictive value of the clinicopathologic factors and MTBWB measurements to patient survival. Results The PET-positive patients had significantly decreased OS based on either Kaplan-Meier survival analysis (P < 0.001) or univariable Cox regression (hazard ratio [HR] = 2.850, P < 0.001). In patients with PET-positive tumors, the associations between OS and SUVWBmax, MTVWB and TLGWB were significant, both in univariable analysis (P < 0.001, P < 0.001 and P = 0.001, respectively) and in multivariable analysis (P = 0.002, P < 0.001 and P = 0.005, respectively). Patient OS among groups dichotomized by cutoffs of SUVWBmax > 8.6, MTVWB > 91.5 cm3, and TLGWB > 477.6 cm3 were significantly different (P = 0.001, P < 0.001 and P = 0.001, respectively). Conclusions MTBWB, in terms of SUVWBmax, MTVWB and TLGWB, on postsurgical 18F-FDG PET/CT provides prognostic value to patients with gastric cancer after curative resection.
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Affiliation(s)
- Gaofeng Sun
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
| | - Chao Cheng
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
| | - Xiao Li
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China.
| | - Tao Wang
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
| | - Jian Yang
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
| | - Danni Li
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
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Baseline PET features to predict prognosis in primary mediastinal B cell lymphoma: a comparative analysis of different methods for measuring baseline metabolic tumour volume. Eur J Nucl Med Mol Imaging 2019; 46:1334-1344. [DOI: 10.1007/s00259-019-04286-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 02/06/2019] [Indexed: 12/28/2022]
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Li Y, Zschaeck S, Lin Q, Chen S, Chen L, Wu H. Metabolic parameters of sequential 18F-FDG PET/CT predict overall survival of esophageal cancer patients treated with (chemo-) radiation. Radiat Oncol 2019; 14:35. [PMID: 30782182 PMCID: PMC6381652 DOI: 10.1186/s13014-019-1236-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 02/05/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND To evaluate the prognostic value of metabolic parameters of pre-treatment and interim 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) for overall survival (OS) of esophageal cancer(EC) patients undergoing (chemo-) radiotherapy. METHODS A retrospective analysis of 134 patients with pathology confirmed squamous cell EC treated between July 2009 and October 2013 in our hospital was performed. Inclusion criteria for this study were curative intended radiotherapy and availability of pre-treatment and interim 18F-FDG PET. 18F-FDG PET/CT scans were acquired before treatment and after 40 Gray (Gy) of radiotherapy. Maximum standard uptake value (SUVmax), metabolic tumor volume(MTV), total lesion glycolysis (TLG), and the percentual changes during both PET scans were recorded. The parameters were named as SUVmax1,MTV1,TLG1,SUVmax2,MTV2,TLG2,△SUVmax,△MTV and △TLG. The receiver operating characteristic curve (ROC) was used to analyze the relationship between metabolic parameters and OS, survival analysis was carried out by Kaplan-Meier and Cox regression analysis. RESULTS Univariate survival analysis showed that SUVmax2、MTV1、△MTV、TLG1、TLG2 and △TLG were associated with OS. Based on the largest Youden index of ROC curves, patients with SUVmax2 < 7.8, MTV1 < 10.5, △MTV < 0.075, TLG1 < 59.8, TLG2 < 44.3 and △TLG < 0.27 tended to live longer. Stratified for these parameters, the estimated median survival time were 27.9 months (m) vs 9.8 m, 36.9 m vs 11.3 m, 41.6 m vs 12 m, 48.9 m vs 14.3 m, 32.6 m vs 13.2 m, and 41.6 m vs 14.5 m. Cox multi-factor regression analyses revealed SUVmax2 as an independent prognostic factor for OS complementary to TNM staging and the length of primary tumor. CONCLUSIONS Sequential 18F-FDG PET/CT metabolic parameters bear important prognostic value for OS of EC patients. 18F-FDG PET/CT scan before treatment and during chemoradiotherapy seems helpful to evaluate the effect of chemoradiotherapy, guide clinical decisions and provide patients with personalized treatment.
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Affiliation(s)
- Yimin Li
- Department of Radiation Oncology, Xiamen Cancer Hospital, the First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Sebastian Zschaeck
- Department of Radiation Oncology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Qin Lin
- Department of Radiation Oncology, Xiamen Cancer Hospital, the First Affiliated Hospital of Xiamen University, Xiamen, China.
| | - Sijia Chen
- Department of Radiation Oncology, Xiamen Cancer Hospital, the First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Lili Chen
- Department of Radiation Oncology, Xiamen Cancer Hospital, the First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Hua Wu
- Department of Nuclear Medicine, Xiamen Cancer Hospital, the First Affiliated Hospital of Xiamen University/Southern Fujian PET Center, Xiamen, China.
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Dejima H, Kuroda H, Oya Y, Sakakura N, Inaba Y, Tamaki T, Yatabe Y, Sakao Y. Evaluation of lobar lymph node metastasis in non-small cell lung carcinoma using modified total lesion glycolysis. J Thorac Dis 2019; 10:6932-6941. [PMID: 30746239 DOI: 10.21037/jtd.2018.11.40] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Volumetric parameters based on 3-dimensional reconstruction have recently been introduced for cancer staging. We aimed to improve the ability to diagnose hilar lymph node metastasis in patients with non-small cell lung cancer. Methods We evaluated 142 patients with non-small cell lung cancer who underwent right upper lobectomy and radical lymph node dissection. Metastatic involvement of right upper lobar lymph nodes was assessed using high-resolution computed tomography (HRCT) and 18F-2-floro-2-deoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT). Results On receiver operating characteristic (ROC) curve analysis, the area under the curves (AUC) for short axis, maximum of standardized uptake value (SUVmax), total lesion glycolysis (TLG) and modified TLG (mTLG) were 0.79, 0.77, 0.76, and 0.87, respectively. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of mTLG, using the optimal cut off value (2.45), for diagnosis of lobar lymph node metastasis were 71%, 88%, 44%, and 96%, respectively. Hilar asymmetric uptake (HAU) of FDG was larger in true-positive cases than in false-negative cases (P<0.01). Furthermore, the size of metastatic foci in the lymph node was smaller in false-negative cases (P=0.012). Conclusions Modified TLG is a good parameter to diagnose metastatic right upper lobar lymph nodes. Micrometastasis in the lymph node is difficult to predict using the current diagnostic method. However, more careful evaluation is required in patients with symmetric FDG accumulation at hilar region because hilar lymph nodes respond to various causes such as benign pulmonary diseases.
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Affiliation(s)
- Hitoshi Dejima
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan.,Department of Pathology and Molecular Diagnostics, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Hiroaki Kuroda
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yuko Oya
- Department of Thoracic Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Noriaki Sakakura
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yoshitaka Inaba
- Department of Diagnostic and Interventional Radiology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Tsuneo Tamaki
- Nagoya Radiological Diagnosis Foundation, Nagoya, Japan
| | - Yasushi Yatabe
- Department of Pathology and Molecular Diagnostics, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yukinori Sakao
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
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Thuillier P, Bourhis D, Roudaut N, Crouzeix G, Alavi Z, Schick U, Robin P, Kerlan V, Salaun PY, Abgral R. Diagnostic Value of FDG PET-CT Quantitative Parameters and Deauville-Like 5 Point-Scale in Predicting Malignancy of Focal Thyroid Incidentaloma. Front Med (Lausanne) 2019; 6:24. [PMID: 30809525 PMCID: PMC6379284 DOI: 10.3389/fmed.2019.00024] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Accepted: 01/25/2019] [Indexed: 12/26/2022] Open
Abstract
Objective: To evaluate the diagnostic value of FDG PET-CT metabolic parameters and Deauville-like 5 point-scale to predict malignancy in a population of patients presenting focal thyroid incidentaloma (fTI). Design: This retrospective study included 41 fTI, classified according to cytological and histological data as benign (BL) or malignant lesion (ML). FDG PET-CT semi-quantitative parameters (SUVmax, SUVmean, SUVpeak, MTV, TLG), tumor to liver SUVmean ratio (TLRmax and TLRmean), tumor to blood-pool SUVmean ratio (TBRmax and TBRmean) were calculated. Each fTI was also classified on a Deauville-like 5-point scale (DS) currently used in lymphoma. Comparison between BL and ML was performed for each parameter and a ROC analysis was conducted. Results: All quantitative PET metabolic parameters (SUV parameters, volume based parameters and SUV ratio) were higher in ML compared with BL, yet no significant difference was reported. fTI (uptake) malignancy rate according to DS grades 2, 3, 4, and 5 was, respectively, 25% (1 of 4), 28.6% (2 of 7), 8.3% (1 of 12), and 33.3% (6 of 18) with no significant difference between ML and BL groups. Results of ROC analysis showed that mean TBR had the highest AUC in our cohort (0.66 95%CI [0.41; 0.91]) with a cut-off value of 2.2. Specificity of MTV and TLG was 100% (cut-off values: MTV 9.6 ml, TLG 22.9 g) and their sensitivity was 30 and 40%, respectively. Conclusion: Our study did not highlight any FDG PET/CT parameter predictor of fTI malignancy.
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Affiliation(s)
- Philippe Thuillier
- Department of Endocrinology, University Hospital of Brest, Brest, France.,EA GETBO 3878, University Hospital of Brest, Brest, France
| | - David Bourhis
- EA GETBO 3878, University Hospital of Brest, Brest, France.,Department of Nuclear Medicine, University Hospital of Brest, Brest, France
| | - Nathalie Roudaut
- Department of Endocrinology, University Hospital of Brest, Brest, France.,EA GETBO 3878, University Hospital of Brest, Brest, France
| | - Geneviève Crouzeix
- Department of Endocrinology, University Hospital of Brest, Brest, France.,EA GETBO 3878, University Hospital of Brest, Brest, France
| | - Zarrin Alavi
- INSERM CIC-1412 Medical University Hospital of Brest, Brest, France
| | - Ulrike Schick
- Department of Radiotherapy, University Hospital of Brest, Brest, France
| | - Philippe Robin
- EA GETBO 3878, University Hospital of Brest, Brest, France.,Department of Nuclear Medicine, University Hospital of Brest, Brest, France
| | - Véronique Kerlan
- Department of Endocrinology, University Hospital of Brest, Brest, France.,EA GETBO 3878, University Hospital of Brest, Brest, France
| | - Pierre-Yves Salaun
- EA GETBO 3878, University Hospital of Brest, Brest, France.,Department of Nuclear Medicine, University Hospital of Brest, Brest, France
| | - Ronan Abgral
- EA GETBO 3878, University Hospital of Brest, Brest, France.,Department of Nuclear Medicine, University Hospital of Brest, Brest, France
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Dosani M, Yang R, McLay M, Wilson D, Liu M, Yong-Hing CJ, Hamm J, Lund CR, Olson R, Schellenberg D. Metabolic tumour volume is prognostic in patients with non-small-cell lung cancer treated with stereotactic ablative radiotherapy. ACTA ACUST UNITED AC 2019; 26:e57-e63. [PMID: 30853810 DOI: 10.3747/co.26.4167] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction Stereotactic ablative radiotherapy (sabr) is a relatively new technique for the curative-intent treatment of patients with inoperable early-stage non-small-cell lung cancer (nsclc). Previous studies have demonstrated a prognostic value for positron emission tomography-computed tomography (pet/ct) parameters, including maximal standardized uptake value (suvmax), metabolic tumour volume (mtv), and total lesion glycolysis (tlg) in lung cancer patients. We aimed to determine which pet/ct parameter is most prognostic of local control (lc) and overall survival (os) in patients treated with sabr for nsclc. Methods We conducted a retrospective review of patients treated with sabr for stage I inoperable nsclc at BC Cancer between 2009 and 2013. The Akaike information criterion was used to compare the prognostic value of the various pet/ct parameters. Results The study included 134 patients with a median age of 76 years. Median tumour diameter was 2.2 cm, gross tumour volume was 8.1 mL, suvmax was 7.9, mtv was 2.4 mL, and tlg was 10.9 suv·mL. The 2-year lc was 92%, and os was 66%. On univariate and multivariate analysis, imaging variables including tumour size, gross tumour volume, suvmax, mtv, and tlg were all associated with worse lc. Tumour size was not associated with significantly worse os, but other imaging variables were. The pet/ct parameter most prognostic of lc was mtv. Compared with suvmax, tlg and mtv were more prognostic of os. Conclusions In patients with early-stage nsclc treated with sabr, mtv appears to be prognostic of lc and os.
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Affiliation(s)
- M Dosani
- Department of Radiation Oncology and Developmental Therapeutics, BC Cancer-Vancouver Centre, and Department of Surgery, Faculty of Medicine, Vancouver, BC
| | - R Yang
- Department of Radiation Oncology and Developmental Therapeutics, BC Cancer-Vancouver Centre, and Department of Surgery, Faculty of Medicine, Vancouver, BC
| | - M McLay
- Department of Radiation Oncology and Developmental Therapeutics, BC Cancer-Centre for the North, and Department of Surgery, Faculty of Medicine, Prince George, BC
| | - D Wilson
- Department of Functional Imaging, BC Cancer-Vancouver Centre, Vancouver, BC
| | - M Liu
- Department of Radiation Oncology and Developmental Therapeutics, BC Cancer-Vancouver Centre, and Department of Surgery, Faculty of Medicine, Vancouver, BC
| | - C J Yong-Hing
- Department of Radiology, BC Cancer-Vancouver Centre, and Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC
| | - J Hamm
- Cancer Surveillance and Outcomes, BC Cancer, Vancouver, BC
| | - C R Lund
- Department of Radiation Oncology and Developmental Therapeutics, BC Cancer-Fraser Valley Centre, Surrey, and Department of Surgery, Faculty of Medicine, University of British Columbia, Vancouver, BC
| | - R Olson
- Department of Radiation Oncology and Developmental Therapeutics, BC Cancer-Centre for the North, and Department of Surgery, Faculty of Medicine, Prince George, BC
| | - D Schellenberg
- Department of Radiation Oncology and Developmental Therapeutics, BC Cancer-Fraser Valley Centre, Surrey, and Department of Surgery, Faculty of Medicine, University of British Columbia, Vancouver, BC
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Hotta M, Minamimoto R, Yamada K, Nohara K, Soma D, Nakajima K, Toyohara J, Takase K. Efficacy of 4'-[methyl-11C] thiothymidine PET/CT before and after neoadjuvant therapy for predicting therapeutic responses in patients with esophageal cancer: a pilot study. EJNMMI Res 2019; 9:10. [PMID: 30701347 PMCID: PMC6353974 DOI: 10.1186/s13550-019-0478-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 01/18/2019] [Indexed: 02/07/2023] Open
Abstract
Background 4′-[Methyl-11C] thiothymidine (4DST) has been introduced as a new cell proliferation imaging PET tracer that incorporates into DNA directly. The aim of this prospective study was to evaluate the efficacy of 4DST PET/CT for predicting responses to neoadjuvant therapy in patients with esophageal cancer comparing with FDG PET/CT. Methods Twenty-six patients who had pre- and post-therapeutic 4DST and FDG PET/CT and underwent esophagectomy following neoadjuvant therapy were used for the analysis. Based on pathological findings, patients were divided into two groups: non-responders and responders. The maximum standardized uptake value (SUVmax), metabolic tumor volume, total lesion glycolysis, and total lesion proliferation of the primary lesion were measured for FDG and 4DST PET. Results The pathological diagnosis revealed 16 responders and 10 non-responders. Non-responders showed significantly higher 4DST post-therapeutic SUVmax (postSUVmax) than responders, whereas FDG postSUVmax showed no statistically significant difference (non-responders vs. responders: 4DST, 6.7 vs. 3.3, p = 0.001; FDG, 6.1 vs. 4.5, p = 0.11). Responders showed a greater reduction in percentage changes of 4DST and FDG SUVmax (ΔSUVmax) from baseline to post-therapeutic PET (non-responders vs. responders: 4DST, − 2.9% vs. − 56.7%, p < 0.001; FDG, − 36.3% vs. − 72.6%, p < 0.001). In ROC analysis, ΔSUVmax and postSUVmax with 4DST provided great diagnostic performance for predicting responses (area under the curve: 4DST ΔSUVmax = 0.92, 4DST postSUVmax = 0.88). Conclusions 4DST PET/CT has a great potential for predicting pathologic response to neoadjuvant therapy in patients with esophageal cancer; it may be slightly superior to that with FDG PET/CT.
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Affiliation(s)
- Masatoshi Hotta
- Division of Nuclear Medicine, Department of Radiology, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan. .,Department of Diagnostic Radiology, Tohoku University Hospital, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan.
| | - Ryogo Minamimoto
- Division of Nuclear Medicine, Department of Radiology, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Kazuhiko Yamada
- Department of Surgery, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Kyoko Nohara
- Department of Surgery, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Daisuke Soma
- Department of Surgery, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Kazuhiko Nakajima
- Division of Nuclear Medicine, Department of Radiology, National Center for Global Health and Medicine, 1-21-1, Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan
| | - Jun Toyohara
- Functional Brain Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, 35-2, Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan
| | - Kei Takase
- Department of Diagnostic Radiology, Tohoku University Hospital, 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan
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Devriese J, Beels L, Maes A, Van de Wiele C, Pottel H. Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria. EJNMMI Phys 2018; 5:35. [PMID: 30523429 PMCID: PMC6283809 DOI: 10.1186/s40658-018-0235-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 11/22/2018] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND The aim of this study was to compare liver and oncologic lesion standardized uptake values (SUV) obtained through two different reconstruction protocols, GE's newest clinical lesion detection protocol (Q.Clear) and the EANM Research Ltd (EARL) harmonization protocol, and to assess the clinical relevance of potential differences and possible implications for daily clinical practice using the PERCIST lesional inclusion criteria. NEMA phantom recovery coefficients (RC) and SUV normalized for lean body mass (LBM), referred to as SUV normalized for LBM (SUL), of liver and lesion volumes of interest were compared between the two reconstruction protocols. Head-to-toe PET/CT examinations and raw data from 64 patients were retrospectively retrieved. PET image reconstruction was carried out twice: once optimized for quantification, complying with EARL accreditation requirements, and once optimized for lesion detection, according to GE's Q.Clear reconstruction settings. RESULTS The two reconstruction protocols showed different NEMA phantom RC values for different sphere sizes. Q.Clear values were always highest and exceeded the EARL accreditation maximum for smaller spheres. Comparison of liver SULmean showed a statistically significant but clinically irrelevant difference between both protocols. Comparison of lesion SULpeak and SULmax showed a statistically significant, and clinically relevant, difference of 1.64 and 4.57, respectively. CONCLUSIONS For treatment response assessment using PERCIST criteria, the harmonization reconstruction protocol should be used as the lesion detection reconstruction protocol using resolution recovery systematically overestimates true SUL values.
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Affiliation(s)
- Joke Devriese
- Department of Public Health and Primary Care @ Kulak, KU Leuven campus Kulak, Etienne Sabbelaan 53, 8500, Kortrijk, Belgium
| | - Laurence Beels
- Department of Nuclear Medicine, AZ Groeninge, President Kennedylaan 4, 8500, Kortrijk, Belgium
| | - Alex Maes
- Department of Nuclear Medicine, AZ Groeninge, President Kennedylaan 4, 8500, Kortrijk, Belgium
| | - Christophe Van de Wiele
- Department of Nuclear Medicine, AZ Groeninge, President Kennedylaan 4, 8500, Kortrijk, Belgium
| | - Hans Pottel
- Department of Public Health and Primary Care @ Kulak, KU Leuven campus Kulak, Etienne Sabbelaan 53, 8500, Kortrijk, Belgium.
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Nakajo M, Jinguji M, Shinaji T, Tani A, Nakabeppu Y, Nakajo M, Nakajo A, Natsugoe S, Yoshiura T. 18F-FDG-PET/CT features of primary tumours for predicting the risk of recurrence in thyroid cancer after total thyroidectomy: potential usefulness of combination of the SUV-related, volumetric, and heterogeneous texture parameters. Br J Radiol 2018; 92:20180620. [PMID: 30273012 DOI: 10.1259/bjr.20180620] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE: This retrospective study examined whether the primary tumour 18F-FDG uptake features could predict the high-risk of recurrence in differentiated thyroid cancer (DTC) patients. METHODS: The enrolled 114 DTC patients underwent preoperative 18F-FDG-PET/CT. SUVmax, SUVmean, metabolic tumour volume (MTV), total lesion glycolysis (TLG) and 6 texture parameters were obtained. Because the texture features can be confounded by the tumour volume effects, 18F-FDG-avid tumour patients were divided into two groups (tumours with MTV ≤ 10.0 cm3 and >10.0 cm3). Diagnostic performance for predicting the high-risk was evaluated by the area under the curve (AUC) by the ROC curve analysis. RESULTS: Eighty eight 18F-FDG-avid tumours revealed more advanced-risk classification (p = 0.015 → 0.02) than 26 18F-FDG-nonavid tumours, which yielded no high-risk patients. In the 44 MTV > 10.0 cm3 18F-FDG-avid tumour patients, 8 high-risk patients revealed significantly higher SUVmax, SUVmean, MTV, TLG, intensity variability and size-zone variability, and lower zone percentage than 36 non-high-risk patients (p < 0.001-0.016). Their AUC (diagnostic accuracy) ranged between 0.77 (66%) and 0.92 (91%). When each parameter was scored as 0 (negative for high-risk) or 1 (positive for high-risk) according to each threshold criterion, and the 7 parameter summed score ≥5 was defined as high-risk, the accuracy was 93.2% (AUC: 0.98) in the MTV > 10.0 cm3 18F-FDG-avid tumour patients. CONCLUSION: For primary MTV > 10.0 cm3 18F-FDG-avid DTCs, the combined use of SUV-related, volumetric, and texture parameters may be more useful to identify high-risk patients than the individual parameters. ADVANCES IN KNOWLEDGE: Combined use of SUV-related, volumetric, and texture parameters may be useful to identify high-risk DTC patients.
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Affiliation(s)
- Masatoyo Nakajo
- 1 Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Sakuragaoka , Kagoshima , Japan
| | - Megumi Jinguji
- 1 Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Sakuragaoka , Kagoshima , Japan
| | - Tetsuya Shinaji
- 2 Department of Nuclear Medicine, University of Würzburg, Oberdürrbacher Str , Würzburg , Germany
| | - Atsushi Tani
- 1 Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Sakuragaoka , Kagoshima , Japan
| | - Yoshiaki Nakabeppu
- 3 Department of Radiology, Kagoshima City Hospital,Uearata , Kagoshima , Japan
| | - Masayuki Nakajo
- 4 Department of Radiology, Nanpuh Hospital, Nagata , Kagoshima , Japan
| | - Akihiro Nakajo
- 5 Department of Digestive Surgery, Breast and Thyroid Surgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Sakuragaoka , Kagoshima , Japan
| | - Shoji Natsugoe
- 5 Department of Digestive Surgery, Breast and Thyroid Surgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Sakuragaoka , Kagoshima , Japan
| | - Takashi Yoshiura
- 1 Department of Radiology, Graduate School of Medical and Dental Sciences, Kagoshima University, Sakuragaoka , Kagoshima , Japan
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Li S, Jiang H, Wang Z, Zhang G, Yao YD. An effective computer aided diagnosis model for pancreas cancer on PET/CT images. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2018; 165:205-214. [PMID: 30337075 DOI: 10.1016/j.cmpb.2018.09.001] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 08/18/2018] [Accepted: 09/02/2018] [Indexed: 06/08/2023]
Abstract
UNLABELLED Background and objective: Pancreas cancer is a digestive tract tumor with high malignancy, which is difficult for diagnosis and treatment at early time. To this end, this paper proposes a computer aided diagnosis (CAD) model for pancreas cancer on Positron Emission Tomography/Computed Tomography (PET/CT) images. METHODS There are three essential steps in the proposed CAD model, including (1) pancreas segmentation, (2) feature extraction and selection, (3) classifier design, respectively. First, pancreas segmentation is performed using simple linear iterative clustering (SLIC) on CT pseudo-color images generated by the gray interval mapping (GIP) method. Second, dual threshold principal component analysis (DT-PCA) is developed to select the most beneficial feature combination, which not only considers principal features but also integrates some non-principal features into a new polar angle representation. Finally, a hybrid feedback-support vector machine-random forest (HFB-SVM-RF) model is designed to identify normal pancreas or pancreas cancer and the key is to use 8 types of SVMs to establish the decision trees of RF. RESULTS The proposed CAD model is tested on 80 cases of PET/CT data (from General Hospital of Shenyang Military Area Command) and achieves the average pancreas cancer identification accuracy of 96.47%, sensibility of 95.23% and specificity of 97.51%, respectively. In addition, the proposed pancreas segmentation method is also evaluated using a public dataset with 82 3D CT scans from the National Institutes of Health (NIH) Clinical Center and its performance is found to surpass other methods, with a mean Dice coefficient of 78.9% and Jaccard index of 65.4%. CONCLUSIONS Collectively, contrast experiments in 10-fold cross validation demonstrate the efficiency and accuracy of the proposed CAD model as well as its performance advantages as compared with related methods.
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Affiliation(s)
- Siqi Li
- Software College, Northeastern University, Shenyang 110819, China
| | - Huiyan Jiang
- Software College, Northeastern University, Shenyang 110819, China.
| | - Zhiguo Wang
- Nuclear Medicine General Hospital of Shenyang Military Area Command, Shenyang 110840, China
| | - Guoxu Zhang
- Nuclear Medicine General Hospital of Shenyang Military Area Command, Shenyang 110840, China
| | - Yu-Dong Yao
- Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA
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