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Tamam M, Ozcevik H, Kulduk G, Acar Tayyar MN, Babacan GB. Evaluating the correlation between pretreatment 18F-FDG PET/CT metabolic parameters and tumor-infiltrating lymphocyte levels in nonluminal breast cancer and impact on survival. Pathol Oncol Res 2025; 30:1612014. [PMID: 39839836 PMCID: PMC11750436 DOI: 10.3389/pore.2024.1612014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 12/20/2024] [Indexed: 01/23/2025]
Abstract
Background and Objectives This study aims to evaluate the correlation between Tumor-Infiltrating Lymphocyte (TIL) levels and Fluorine-18 fluorodeoxyglucose (18F-FDG) metabolic parameters, including spleen and bone marrow FDG uptake and tumor heterogeneity in non-luminal breast cancers (NLBC), and to elucidate their association with survival outcomes. Methods We retrospectively analyzed data from 100 females with stage 2-4 NLBC who underwent pretreatment 18F-FDG Positron emission tomography-computed tomography (PET/CT). TIL was scored based on Hematoxylin-Eosin-stained specimens and 18F-FDG PET metabolic parameters, including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), liver, spleen, and bone marrow FDG uptake were calculated. Heterogeneity Index (HI)1, HI2, and HI3 indices were analyzed with FDG metabolic parameters. The association between these factors and overall survival was analyzed using multivariate Cox regression models. Results TIL showed weak negative correlations with tumor size, tumor (T), and metastasis (M) stages. No significant correlation was found between TIL levels and overall SUV values. However, in stage 4, TIL correlated positively with liver, spleen, and bone marrow SUV values and negatively with heterogeneity indices (HI2, HI3). Higher tumor size, HI values, and Bone marrow-to-liver ratio (BLR) SUVmean were associated with increased mortality. A TIL cut-off value of <5 was linked to significantly worse survival. Conclusion Our study demonstrates a strong connection between TIL, FDG metabolic parameters, and tumor heterogeneity, particularly in advanced NLBC. Although TIL is not generally associated with SUV values, its association with certain metabolic and heterogeneity indices suggests that it is important in influencing survival. Further research involving larger cohorts and diverse breast cancer subtypes is needed to validate these results.
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Affiliation(s)
- Muge Tamam
- Department of Nuclear Medicine, Prof. Dr. Cemil Taşcıoğlu City Hospital, University of Health Sciences, Istanbul, Türkiye
| | - Halim Ozcevik
- Department of Nuclear Medicine, Hamidiye Medical Faculty, University of Health Sciences, Istanbul, Türkiye
| | - Gamze Kulduk
- Department of Pathology, Prof. Dr. Cemil Taşcıoğlu City Hospital, University of Health Sciences, Istanbul, Türkiye
| | - Merve Nur Acar Tayyar
- Department of Nuclear Medicine, Prof. Dr. Cemil Taşcıoğlu City Hospital, University of Health Sciences, Istanbul, Türkiye
| | - Gunduzalp Bugrahan Babacan
- Department of Nuclear Medicine, Prof. Dr. Cemil Taşcıoğlu City Hospital, University of Health Sciences, Istanbul, Türkiye
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Zhao Z, Zhou Y, Yao X, Ge S, Sang S, Yang Y, Zhang B, Deng S. Prognostic significance of diffuse increased fluorine-18-fluorodeoxyglucose ( 18F-FDG) uptake within the reticuloendothelial system in lymphoma patients. Quant Imaging Med Surg 2024; 14:6374-6385. [PMID: 39281118 PMCID: PMC11400674 DOI: 10.21037/qims-24-180] [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: 01/28/2024] [Accepted: 07/26/2024] [Indexed: 09/18/2024]
Abstract
Background As constituents of the reticuloendothelial system, the spleen and bone marrow (BM) have been recognized as integral components of the systemic inflammatory response in cancer contexts, thereby serving as predictive indicators for assessing cancer prognosis. Fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) has attained widespread utilization for staging, assessing treatment response, and prognostication in lymphoma patients. Several investigations have proposed that focal increased 18F-FDG uptake in the BM or spleen may correlate with malignant involvement in lymphoma. However, scant data exist regarding the implications of diffuse BM and splenic uptake. This study aimed to explore the relationships between metabolic parameters of the spleen and BM on 18F-FDG PET/CT and inflammatory markers, and to assess their prognostic value in patients with lymphoma. Methods A retrospective analysis was conducted on 118 patients newly diagnosed with malignant lymphoma, who underwent 18F-FDG PET/CT and exhibited diffuse increased splenic or BM uptake in 18F-FDG PET/CT imaging. The mean standardized uptake value (SUV) of the spleen, BM, and liver was calculated. The association between metabolic variables and systemic inflammatory markers was investigated, and the prognostic significance of clinicopathological and PET parameters was assessed using overall survival (OS) and progression-free survival (PFS). Results A statistically significant correlation was found between the spleen-to-liver SUV ratio (SLR) and inflammatory markers such as C-reactive protein (r=0.264, P=0.007) and platelet-to-lymphocyte ratio (r=0.227, P=0.021). No significant correlation was observed between BM-to-liver SUV ratio (BLR) and hematologic parameters, while concordance analysis revealed a fair agreement between BLR and bone marrow biopsy (BMB) (Cohen's Kappa-κ =0.271, P=0.002). In patients with aggressive non-Hodgkin lymphoma, both SLR [P=0.017, HR 2.715, 95% confidence interval (CI): 0.875-8.428] and BLR (P=0.044, HR 0.795, 95% CI: 0.348-1.813) were significantly linked to OS, while SLR (P=0.019, HR 2.223, 95% CI: 1.139-4.342) emerged as a significant prognostic factor for PFS. Conclusions This study highlighted that diffuse increased splenic 18F-FDG uptake in lymphoma patients was closely associated with inflammation, whereas diffuse BM uptake was likely attributable to BM infiltration rather than inflammatory changes. Furthermore, both parameters held promise as prognostic indicators for patients with aggressive lymphoma.
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Affiliation(s)
- Zixuan Zhao
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yeye Zhou
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaodong Yao
- Department of Medical Cosmetology, Department of Dermatology, Affiliated Hospital of Nantong University, Nantong, China
| | - Shushan Ge
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
- National Health Commission (NHC) Key Laboratory of Nuclear Technology Medical Transformation, Mianyang Central Hospital, Mianyang, China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou, China
| | - Shibiao Sang
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yi Yang
- National Health Commission (NHC) Key Laboratory of Nuclear Technology Medical Transformation, Mianyang Central Hospital, Mianyang, China
- Department of Nuclear Medicine, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China
| | - Bin Zhang
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shengming Deng
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
- National Health Commission (NHC) Key Laboratory of Nuclear Technology Medical Transformation, Mianyang Central Hospital, Mianyang, China
- State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou, China
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Wang Y, Li Y, Jiang H, Zuo C, Xu W. Elevated splenic 18F-fluorodeoxyglucose positron emission tomography/computed tomography activity is associated with 5-year risk of recurrence in non-metastatic invasive ductal carcinoma of the breast. Br J Radiol 2024; 97:237-248. [PMID: 38263821 PMCID: PMC11027281 DOI: 10.1093/bjr/tqad015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 10/31/2023] [Accepted: 11/06/2023] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVE To construct prediction models including baseline 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) metabolic parameters of tumoural lesions and non-tumour lymphoid tissue for recurrence-free survival within 5 years (5y-RFS) after imaging examination in patients with invasive ductal carcinomas (IDCs) of the breast. METHODS The study included 101 consecutive female patients. Univariable and multivariable Cox regression were used to identify clinicopathological and metabolic parameters associated with risk of recurrence. Four prediction models based on the results of multivariable analysis were constructed and visualized as nomograms. Performance of each nomogram was evaluated using the concordance index (C-index), integrated discrimination improvement, decision curve analysis (DCA), and calibration curve. RESULTS N3 status, total metabolic tumour volume, the maximum standardized uptake value of spleen, and spleen-to-liver ratio were significant predictors of 5y-RFS. The nomogram including all significant predictors demonstrated superior predictive performance for 5y-RFS, with a C-index of 0.907 (95% CI, 0.833-0.981), greatest net benefit on DCA, good accuracy on calibration curves, and excellent risk stratification on Kaplan-Meier curves. CONCLUSIONS The model that included metabolic parameters of the spleen had the best performance for predicting 5y-RFS in patients with IDCs of the breast. This model may guide personalized treatment decisions and inform patients and clinicians about prognosis. ADVANCES IN KNOWLEDGE This research identifies 18F-FDG PET/CT metabolic parameters of non-tumour lymphoid tissue as predictors of recurrence in breast cancer.
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Affiliation(s)
- Yiting Wang
- Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai 200433, PR China
| | - Yuchao Li
- Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai 200433, PR China
| | - Hongyuan Jiang
- Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai 200433, PR China
| | - Changjing Zuo
- Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai 200433, PR China
| | - Wengui Xu
- Department of Molecular Imaging and Nuclear Medicine, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, PR China
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de Jong D, Desperito E, Al Feghali KA, Dercle L, Seban RD, Das JP, Ma H, Sajan A, Braumuller B, Prendergast C, Liou C, Deng A, Roa T, Yeh R, Girard A, Salvatore MM, Capaccione KM. Advances in PET/CT Imaging for Breast Cancer. J Clin Med 2023; 12:4537. [PMID: 37445572 PMCID: PMC10342839 DOI: 10.3390/jcm12134537] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 06/26/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
One out of eight women will be affected by breast cancer during her lifetime. Imaging plays a key role in breast cancer detection and management, providing physicians with information about tumor location, heterogeneity, and dissemination. In this review, we describe the latest advances in PET/CT imaging of breast cancer, including novel applications of 18F-FDG PET/CT and the development and testing of new agents for primary and metastatic breast tumor imaging and therapy. Ultimately, these radiopharmaceuticals may guide personalized approaches to optimize treatment based on the patient's specific tumor profile, and may become a new standard of care. In addition, they may enhance the assessment of treatment efficacy and lead to improved outcomes for patients with a breast cancer diagnosis.
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Affiliation(s)
- Dorine de Jong
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Elise Desperito
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | | | - Laurent Dercle
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | - Romain-David Seban
- Department of Nuclear Medicine and Endocrine Oncology, Institut Curie, 92210 Saint-Cloud, France;
- Laboratory of Translational Imaging in Oncology, Paris Sciences et Lettres (PSL) Research University, Institut Curie, 91401 Orsay, France
| | - Jeeban P. Das
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (J.P.D.); (R.Y.)
| | - Hong Ma
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | - Abin Sajan
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | - Brian Braumuller
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | - Conor Prendergast
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | - Connie Liou
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | - Aileen Deng
- Department of Hematology and Oncology, Novant Health, 170 Medical Park Road, Mooresville, NC 28117, USA;
| | - Tina Roa
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | - Randy Yeh
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (J.P.D.); (R.Y.)
| | - Antoine Girard
- Department of Nuclear Medicine, Centre Eugène Marquis, Université Rennes 1, 35000 Rennes, France;
| | - Mary M. Salvatore
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
| | - Kathleen M. Capaccione
- Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA; (E.D.); (L.D.); (H.M.); (A.S.); (B.B.); (C.P.); (C.L.); (T.R.); (M.M.S.)
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Sjöholm T, Korenyushkin A, Gammelgård G, Sarén T, Lövgren T, Loskog A, Essand M, Kullberg J, Enblad G, Ahlström H. Whole body FDG PET/MR for progression free and overall survival prediction in patients with relapsed/refractory large B-cell lymphomas undergoing CAR T-cell therapy. Cancer Imaging 2022; 22:76. [PMID: 36575477 PMCID: PMC9793670 DOI: 10.1186/s40644-022-00513-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 12/17/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND To find semi-quantitative and quantitative Positron Emission Tomography/Magnetic Resonance (PET/MR) imaging metrics of both tumor and non-malignant lymphoid tissue (bone marrow and spleen) for Progression Free Survival (PFS) and Overall Survival (OS) prediction in patients with relapsed/refractory (r/r) large B-cell lymphoma (LBCL) undergoing Chimeric Antigen Receptor (CAR) T-cell therapy. METHODS A single-center prospective study of 16 r/r LBCL patients undergoing CD19-targeted CAR T-cell therapy. Whole body 18F-fluorodeoxyglucose (FDG) PET/MR imaging pre-therapy and 3 weeks post-therapy were followed by manual segmentation of tumors and lymphoid tissues. Semi-quantitative and quantitative metrics were extracted, and the metric-wise rate of change (Δ) between post-therapy and pre-therapy calculated. Tumor metrics included maximum Standardized Uptake Value (SUVmax), mean SUV (SUVmean), Metabolic Tumor Volume (MTV), Tumor Lesion Glycolysis (TLG), structural volume (V), total structural tumor burden (Vtotal) and mean Apparent Diffusion Coefficient (ADCmean). For lymphoid tissues, metrics extracted were SUVmean, mean Fat Fraction (FFmean) and ADCmean for bone marrow, and SUVmean, V and ADCmean for spleen. Univariate Cox regression analysis tested the relationship between extracted metrics and PFS and OS. Survival curves were produced using Kaplan-Meier analysis and compared using the log-rank test, with the median used for dichotomization. Uncorrected p-values < 0.05 were considered statistically significant. Correction for multiple comparisons was performed, with a False Discovery Rate (FDR) < 0.05 considered statistically significant. RESULTS Pre-therapy (p < 0.05, FDR < 0.05) and Δ (p < 0.05, FDR > 0.05) total tumor burden structural and metabolic metrics were associated with PFS and/or OS. According to Kaplan-Meier analysis, a longer PFS was reached for patients with pre-therapy MTV ≤ 39.5 ml, ΔMTV≤1.35 and ΔTLG≤1.35. ΔSUVmax was associated with PFS (p < 0.05, FDR > 0.05), while ΔADCmean was associated with both PFS and OS (p < 0.05, FDR > 0.05). ΔADCmean > 0.92 gave longer PFS and OS in the Kaplan-Meier analysis. Pre-therapy bone marrow SUVmean was associated with PFS (p < 0.05, FDR < 0.05) and OS (p < 0.05, FDR > 0.05). For bone marrow FDG uptake, patient stratification was possible pre-therapy (SUVmean ≤ 1.8). CONCLUSIONS MTV, tumor ADCmean and FDG uptake in bone marrow unaffected by tumor infiltration are possible PET/MR parameters for prediction of PFS and OS in r/r LBCL treated with CAR T-cells. TRIAL REGISTRATION EudraCT 2016-004043-36.
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Affiliation(s)
- Therese Sjöholm
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | | | - Gustav Gammelgård
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Tina Sarén
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Tanja Lövgren
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Angelica Loskog
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Magnus Essand
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Joel Kullberg
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Uppsala University, Uppsala, Sweden ,grid.511796.dAntaros Medical AB, Mölndal, Sweden
| | - Gunilla Enblad
- grid.8993.b0000 0004 1936 9457Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Håkan Ahlström
- grid.8993.b0000 0004 1936 9457Department of Surgical Sciences, Uppsala University, Uppsala, Sweden ,grid.511796.dAntaros Medical AB, Mölndal, Sweden
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Seban RD, Synn S, Muneer I, Champion L, Schwartz LH, Dercle L. Don't overlook spleen glucose metabolism on [18F]-FDG PET/CT for cancer drug discovery and development. Curr Cancer Drug Targets 2021; 21:944-952. [PMID: 34288841 DOI: 10.2174/1568009621666210720143826] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 05/17/2021] [Accepted: 05/24/2021] [Indexed: 11/22/2022]
Abstract
Fluorine-18-fluorodeoxyglucose ([18F]-FDG) positron emission tomography/computed tomography (PET/CT) is a useful tool that assesses glucose metabolism in tumor cells to help guide management of cancer patients. However, the clinical relevance of glucose metabolism in healthy tissues, including hematopoietic tissues such as the spleen, has been potentially overlooked. Recent studies suggested that spleen glucose metabolism could improve the management of different cancers. Overall, the current literature includes 1,157 patients, with a wide range of tumor types. The prognostic and/or predictive value of spleen metabolism have been demonstrated in a broad spectrum of therapies including surgery and systemic cancer therapies. Most of these studies showed that high spleen glucose metabolism at baseline is associated with a poor outcome while treatment-induce change in spleen glucose metabolism is a multi-faceted surrogate of cancer-related inflammation, which correlates with immunosuppressive tumor microenvironment as well as with immune activation. In this systematic review, we seek to unravel the prognostic/predictive significance of spleen glucose metabolism on [18F]-FDG PET/CT and discuss how it could potentially guide cancer patient management in the future.
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Affiliation(s)
- Romain-David Seban
- Department of Nuclear Medicine, Institut Curie, 92210 Saint-Cloud. France
| | - Shwe Synn
- Department of Internal Medicine, Montefiore/Albert Einstein College of Medicine, Bronx, NY, United States
| | - Izza Muneer
- Department of Internal Medicine, Montefiore/Albert Einstein College of Medicine, Bronx, NY, United States
| | - Laurence Champion
- Department of Nuclear Medicine, Institut Curie, 92210 Saint-Cloud. France
| | - Lawrence H Schwartz
- Department of Radiology, New York Presbyterian Hospital, Columbia University Medical Center, New York, New York, United States
| | - Laurent Dercle
- Department of Radiology, New York Presbyterian, Columbia University Irving Medical Center, New York, New York, United States
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7
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Seban RD, Rouzier R, Latouche A, Deleval N, Guinebretiere JM, Buvat I, Bidard FC, Champion L. Total metabolic tumor volume and spleen metabolism on baseline [18F]-FDG PET/CT as independent prognostic biomarkers of recurrence in resected breast cancer. Eur J Nucl Med Mol Imaging 2021; 48:3560-3570. [PMID: 33774685 DOI: 10.1007/s00259-021-05322-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 03/16/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE We evaluated whether biomarkers on baseline [18F]-FDG PET/CT are associated with recurrence after surgery in patients with invasive breast cancer of no special type (NST). METHODS In this retrospective single-center study, we included consecutive patients with non-metastatic breast cancer of NST who underwent [18F]-FDG PET/CT before treatment, including surgery, between 2011 and 2016. Clinicopathological data were collected. Tumor SUVmax, total metabolic tumor volume (TMTV), and spleen- and bone marrow-to-liver SUVmax ratios (SLR, BLR) were measured from the PET images. Cut-off values were determined using predictiveness curves to predict 5-year recurrence-free survival (5y-RFS). A multivariable prediction model was developed using Cox regression. The association with stromal tumor-infiltrating lymphocytes (TILs) levels (low if <50%) was studied by logistic regression. RESULTS Three hundred and three women were eligible, including 93 (31%) with triple-negative breast carcinoma. After a median follow-up of 6.2 years, 56 and 35 patients experienced recurrence and death, respectively. The 5y-RFS rate was 86%. In multivariable analyses, high TMTV (>20 cm3) and high SLR (>0.76) were associated with shorter 5y-RFS (HR 2.4, 95%CI 1.3-4.5, and HR 1.9, 95%CI 1.0-3.6). In logistic regression, high SLR was the only independent factor associated with low stromal TILs (OR 2.8, 95%CI 1.4-5.7). CONCLUSION High total metabolic tumor volume and high spleen glucose metabolism on baseline [18F]-FDG PET/CT were associated with poor 5y-RFS after surgical resection in patients with breast cancer of NST. Spleen metabolism was inversely correlated with stromal TILs and might be a surrogate for an immunosuppressive tumor microenvironment.
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Affiliation(s)
- Romain-David Seban
- Department of Nuclear Medicine, Institut Curie, 92210, Saint-Cloud, France. .,Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm U1288, PSL Research University, Institut Curie, 91400, Orsay, France.
| | - Roman Rouzier
- Department of Surgery, Institut Curie, PSL Research University, 75005 Paris &, 92210, Saint-Cloud, France
| | - Aurelien Latouche
- Bioinformatics and Computational Systems Biology of Cancer, PSL Research University, Mines Paris Tech, INSERM U900, 75005, Paris, France.,Conservatoire national des arts et métiers, Paris, France
| | - Nicolas Deleval
- Department of Nuclear Medicine, Institut Curie, 92210, Saint-Cloud, France
| | | | - Irene Buvat
- Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm U1288, PSL Research University, Institut Curie, 91400, Orsay, France
| | - Francois-Clement Bidard
- Department of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris &, 92210, Saint-Cloud, France.,Circulating Tumor Biomarkers Laboratory, SiRIC, Institut Curie, PSL Research University, Paris, France
| | - Laurence Champion
- Department of Nuclear Medicine, Institut Curie, 92210, Saint-Cloud, France.,Laboratoire d'Imagerie Translationnelle en Oncologie, Inserm U1288, PSL Research University, Institut Curie, 91400, Orsay, France
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Spleen glucose metabolism on [ 18F]-FDG PET/CT: a dynamic double-edged biomarker predicting outcome in cancer patients. Eur J Nucl Med Mol Imaging 2021; 48:2309-2311. [PMID: 33420612 DOI: 10.1007/s00259-020-05126-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 11/15/2020] [Indexed: 02/06/2023]
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9
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Steenbrugge J, De Jaeghere EA, Meyer E, Denys H, De Wever O. Splenic Hematopoietic and Stromal Cells in Cancer Progression. Cancer Res 2020; 81:27-34. [PMID: 32998999 DOI: 10.1158/0008-5472.can-20-2339] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/31/2020] [Accepted: 09/24/2020] [Indexed: 11/16/2022]
Abstract
Tumor-derived secretory factors orchestrate splenic hematopoietic and stromal cells to fuel metastasis. The spleen acts as a reservoir site for hematopoietic stem and progenitor cells, which are rapidly exploited as myeloid-derived suppressor cells at the cost of tumor-reactive lymphoid cells. Splenic erythroid progenitor cells and mesenchymal stromal cells contribute directly and indirectly to both tumor immune escape and the metastatic cascade. Animal models provide valuable mechanistic insights, but their translation to a clinical setting highlights specific challenges and open issues. In this review, we envision the exploitation of the spleen as a source for novel biomarkers and therapeutic approaches.
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Affiliation(s)
- Jonas Steenbrugge
- Laboratory of Biochemistry, Department of Pharmacology, Toxicology and Biochemistry, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Emiel A De Jaeghere
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
- Laboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium
- Gynecologic Pelvic Oncology Network Ghent (GYPON), Ghent, Belgium
| | - Evelyne Meyer
- Laboratory of Biochemistry, Department of Pharmacology, Toxicology and Biochemistry, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium
| | - Hannelore Denys
- Laboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium
- Gynecologic Pelvic Oncology Network Ghent (GYPON), Ghent, Belgium
| | - Olivier De Wever
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium.
- Laboratory of Experimental Cancer Research, Department of Human Structure and Repair, Ghent University, Ghent, Belgium
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10
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De Jaeghere EA, Laloo F, Lippens L, Van Bockstal M, De Man K, Naert E, Van Dorpe J, Van de Vijver K, Tummers P, Makar A, De Visschere PJL, De Wever O, Amant F, Denys HG, Vandecasteele K. Splenic 18F-FDG uptake on baseline PET/CT is associated with oncological outcomes and tumor immune state in uterine cervical cancer. Gynecol Oncol 2020; 159:335-343. [PMID: 32859399 DOI: 10.1016/j.ygyno.2020.08.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 08/02/2020] [Indexed: 12/30/2022]
Abstract
OBJECTIVE The spleen represents an important contributor to tumor immune escape, but the relevance of increased splenic metabolic activity remains to be fully elucidated. METHODS We retrospectively measured the spleen-to-liver standard uptake value (SLR) on 18F-FDG PET/CT examinations of 92 consecutive patients with FIGO stage IB1 to IVA cervical cancer and integrated the results with survival, response to treatment, tumor immune infiltrate, and baseline characteristics. RESULTS SLRmax > 0.92 (p = .026) and SLRmean > 0.94 (p = .005) were significantly associated with decreased DFS in univariable analysis. Multivariable models were built using best subset selection; ΔSLRmax and either SLRmax or SLRmean were consistently selected, strongly reinforcing the association between SLR variables and DFS in relation to potential confounders (all models p ≤ .002). Independent associations were found for SLRmax using multivariable Cox regression models for DFS (all p ≤ .003). Further, uni- and multivariable analyses demonstrated the negative impact of higher SLR values on pathological complete response. A statistically significant higher proportion of patients with high SLRmax had a dense infiltrate of CD20+ (p = .036) and CD68+ (p = .015) immune cells, as well as PD-L1+ tumor cells (p = .019) as compared to those with low SLRmax. Finally, high SLRmax status was neither associated with systemic inflammatory markers (except for an increased white blood cell count; p = .038), nor with clinically overt infection. CONCLUSION This hypothesis-generating study provides the first evidence that increased splenic metabolic activity is a negative prognostic and predictive biomarker in locally advanced cervical cancer. In addition, it might help to discriminate immunologically 'hot' from 'cold' cervical tumors.
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Affiliation(s)
- Emiel A De Jaeghere
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium; Laboratory of Experimental Cancer Research (LECR), Department of Human Structure and Repair, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium.
| | - Frederiek Laloo
- Radiology and Nuclear Medicine, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Lien Lippens
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium; Laboratory of Experimental Cancer Research (LECR), Department of Human Structure and Repair, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium
| | | | - Kathia De Man
- Radiology and Nuclear Medicine, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Eline Naert
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium
| | - Jo Van Dorpe
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Pathology, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Koen Van de Vijver
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Pathology, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Philippe Tummers
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Gynecology, Department of Human Structure and Repair, Ghent University Hospital, Belgium
| | - Amin Makar
- Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Gynecology, Department of Human Structure and Repair, Ghent University Hospital, Belgium
| | - Pieter J L De Visschere
- Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Radiology and Nuclear Medicine, Department of Diagnostic Sciences, Ghent University Hospital, Belgium
| | - Olivier De Wever
- Laboratory of Experimental Cancer Research (LECR), Department of Human Structure and Repair, Ghent University, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium
| | - Frédéric Amant
- Centers Gynecologic Oncology Amsterdam, Netherlands Cancer Institute and Amsterdam University Medical Center, Amsterdam, The Netherlands; Department of Oncology, KU Leuven, Leuven, Belgium
| | - Hannelore G Denys
- Medical Oncology, Department of Internal Medicine and Pediatrics, Ghent University Hospital, Ghent, Belgium; Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium
| | - Katrien Vandecasteele
- Cancer Research Institute Ghent (CRIG), Ghent, Belgium; Gynecological Pelvic Oncology Network (GYPON), Ghent, Belgium; Radiation Oncology, Department of Human Structure and Repair, Ghent University Hospital, Belgium
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11
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Lee JW, Kim SY, Han SW, Lee JE, Lee HJ, Heo NH, Lee SM. [ 18F]FDG uptake of bone marrow on PET/CT for predicting distant recurrence in breast cancer patients after surgical resection. EJNMMI Res 2020; 10:72. [PMID: 32607957 PMCID: PMC7326752 DOI: 10.1186/s13550-020-00660-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 06/23/2020] [Indexed: 02/07/2023] Open
Abstract
Background The objective of this study was to investigate the prognostic value of 2-Deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) uptake of bone marrow (BM) and metabolic parameters of primary tumor on positron emission tomography/computed tomography (PET/CT) for predicting distant recurrence in patients with breast cancer. Methods Pretreatment [18F]FDG PET/CT images of 345 breast cancer patients were retrospectively evaluated. Maximum standardized uptake value, metabolic tumor volume, and total lesion glycolysis (TLG) of primary breast cancer and bone marrow-to-liver uptake ratio (BLR) on PET/CT were measured. A Cox proportional hazard regression model was used to evaluate the prognostic potential of parameters for predicting recurrence-free survival (RFS) and distant RFS. For Kaplan-Meier analysis, the specific cutoff values pf BLR and TLG were determined by the maximal chi-square method. Results The median follow-up duration of the enrolled patients was 48.7 months, and during follow-up, 36 patients (10.4%) experienced the cancer recurrence. BLR was significantly correlated with T stage, serum inflammatory markers, and recurrence pattern (p < 0.05). Patients with high BLR and TLG showed worse RFS and distant RFS than those with low BLR and TLG. On multivariate analysis, BLR was significantly associated with both RFS and distant RFS after adjusting for T stage, estrogen receptor status, and TLG (p = 0.001 for both). Only 0.5% of patients with TLG < 9.64 g and BLR < 0.91 experienced distant recurrence. However, patients with TLG ≥ 9.64 g and BLR ≥ 0.91 had a distant recurrence rate of 40.7%. Conclusions BLR on pretreatment [18F]FDG PET/CT were significant predictors for RFS and distant RFS in patients with breast cancer. By combining [18F]FDG uptake of BM and volumetric PET/CT index of breast cancer, the risk of distant recurrence could be stratified.
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Affiliation(s)
- Jeong Won Lee
- Department of Nuclear Medicine, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Simgok-ro 100-gil 25, Seo-gu, Incheon, 22711, South Korea
| | - Sung Yong Kim
- Department of Surgery, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, Chungcheongnam-do, 31151, South Korea
| | - Sun Wook Han
- Department of Surgery, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, Chungcheongnam-do, 31151, South Korea
| | - Jong Eun Lee
- Department of Surgery, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, Chungcheongnam-do, 31151, South Korea
| | - Hyun Ju Lee
- Department of Pathology, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, Chungcheongnam-do, 31151, South Korea
| | - Nam Hun Heo
- Clinical Trial Center, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, Chungcheongnam-do, 31151, South Korea
| | - Sang Mi Lee
- Department of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, 31 Suncheonhyang 6-gil, Dongnam-gu, Cheonan, Chungcheongnam-do, 31151, South Korea.
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12
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Chung JH, Kang SY, Wu HG, Seo YS, Kim DW, Kang KW, Kim HJ, Cheon GJ. Risk stratification of symptomatic brain metastases by clinical and FDG PET parameters for selective use of prophylactic cranial irradiation in patients with extensive disease of small cell lung cancer. Radiother Oncol 2020; 143:81-87. [PMID: 32044172 DOI: 10.1016/j.radonc.2020.01.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 12/06/2019] [Accepted: 01/08/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE To identify risk factors for developing symptomatic brain metastases and evaluate the impact of prophylactic cranial irradiation (PCI) on brain metastasis-free survival (BMFS) and overall survival (OS) in extensive disease small cell lung cancer (ED-SCLC). MATERIALS AND METHODS Among 190 patients diagnosed with ED-SCLC who underwent FDG PET/CT and brain Magnetic Resonance Imaging (MRI) prior to treatment, 53 (27.9%) received PCI while 137 (72.1%) did not. Prognostic index predicting a high risk of symptomatic brain metastases was calculated for the group without receiving PCI (observation group, n = 137) with Cox regression model. RESULTS Median follow-up time was 10.6 months. Multivariate Cox regression showed that the following three factors were associated with a high risk of symptomatic brain metastases: the presence of extrathoracic metastases (p = 0.004), hypermetabolism of bone marrow or spleen on FDG PET (p < 0.001), and high neutrophil-to-lymphocyte ratio (p = 0.018). PCI significantly improved BMFS in high-risk patients (1-year rate: 94.7% vs. 62.1%, p = 0.001), but not in low-risk patients (1-year rate: 100.0% vs. 87.7%, p = 0.943). However, PCI did not improve OS in patients at high risk for symptomatic brain metastases (1-year rate: 65.2% vs. 50.0%, p = 0.123). CONCLUSION Three prognostic factors (the presence of extrathoracic metastases, hypermetabolism of bone marrow or spleen on FDG PET, and high neutrophil-to-lymphocyte ratio) were associated with a high risk of symptomatic brain metastases in ED-SCLC. PCI was beneficial for patients at a high risk of symptomatic brain metastases in terms of BMFS, but not OS. Thus, selective use of PCI in ED-SCLC according to the risk stratification is recommended.
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Affiliation(s)
- Joo-Hyun Chung
- Department of Radiation Oncology, Seoul National University Hospital, Seoul, South Korea
| | - Seo Young Kang
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea; Department of Molecular Medicine and Biopharmaceutical Science, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - Hong-Gyun Wu
- Department of Radiation Oncology, Seoul National University Hospital, Seoul, South Korea; Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, South Korea
| | - Young Seok Seo
- Department of Radiation Oncology, Seoul National University Hospital, Seoul, South Korea
| | - Dong-Wan Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Keon Wook Kang
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea; Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, South Korea; Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - Hak Jae Kim
- Department of Radiation Oncology, Seoul National University Hospital, Seoul, South Korea; Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, South Korea; Cancer Research Institute, Seoul National University, Seoul, South Korea.
| | - Gi Jeong Cheon
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea; Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, South Korea; Cancer Research Institute, Seoul National University, Seoul, South Korea.
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13
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Mattonen SA, Davidzon GA, Benson J, Leung ANC, Vasanawala M, Horng G, Shrager JB, Napel S, Nair VS. Bone Marrow and Tumor Radiomics at 18F-FDG PET/CT: Impact on Outcome Prediction in Non-Small Cell Lung Cancer. Radiology 2019; 293:451-459. [PMID: 31526257 DOI: 10.1148/radiol.2019190357] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Primary tumor maximum standardized uptake value is a prognostic marker for non-small cell lung cancer. In the setting of malignancy, bone marrow activity from fluorine 18-fluorodeoxyglucose (FDG) PET may be informative for clinical risk stratification. Purpose To determine whether integrating FDG PET radiomic features of the primary tumor, tumor penumbra, and bone marrow identifies lung cancer disease-free survival more accurately than clinical features alone. Materials and Methods Patients were retrospectively analyzed from two distinct cohorts collected between 2008 and 2016. Each tumor, its surrounding penumbra, and bone marrow from the L3-L5 vertebral bodies was contoured on pretreatment FDG PET/CT images. There were 156 bone marrow and 512 tumor and penumbra radiomic features computed from the PET series. Randomized sparse Cox regression by least absolute shrinkage and selection operator identified features that predicted disease-free survival in the training cohort. Cox proportional hazards models were built and locked in the training cohort, then evaluated in an independent cohort for temporal validation. Results There were 227 patients analyzed; 136 for training (mean age, 69 years ± 9 [standard deviation]; 101 men) and 91 for temporal validation (mean age, 72 years ± 10; 91 men). The top clinical model included stage; adding tumor region features alone improved outcome prediction (log likelihood, -158 vs -152; P = .007). Adding bone marrow features continued to improve performance (log likelihood, -158 vs -145; P = .001). The top model integrated stage, two bone marrow texture features, one tumor with penumbra texture feature, and two penumbra texture features (concordance, 0.78; 95% confidence interval: 0.70, 0.85; P < .001). This fully integrated model was a predictor of poor outcome in the independent cohort (concordance, 0.72; 95% confidence interval: 0.64, 0.80; P < .001) and a binary score stratified patients into high and low risk of poor outcome (P < .001). Conclusion A model that includes pretreatment fluorine 18-fluorodeoxyglucose PET texture features from the primary tumor, tumor penumbra, and bone marrow predicts disease-free survival of patients with non-small cell lung cancer more accurately than clinical features alone. © RSNA, 2019 Online supplemental material is available for this article.
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Affiliation(s)
- Sarah A Mattonen
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
| | - Guido A Davidzon
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
| | - Jalen Benson
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
| | - Ann N C Leung
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
| | - Minal Vasanawala
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
| | - George Horng
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
| | - Joseph B Shrager
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
| | - Sandy Napel
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
| | - Viswam S Nair
- From the Department of Radiology, James H. Clark Center (S.A.M., A.N.C.L., S.N., V.S.N.), Division of Nuclear Medicine, Department of Radiology (G.A.D.), and Division of Thoracic Surgery, Department of Cardiothoracic Surgery (J.B., J.B.S.), Stanford University, 318 Campus Dr, Room S355, Stanford, CA 94305; Palo Alto VA Health Care System, Palo Alto, Calif (M.V.); California Pacific Medical Center, San Francisco, Calif (G.H.); and Section of Pulmonary & Critical Care Medicine, Moffitt Cancer Center & Research Institute; Morsani College of Medicine, University of South Florida, Tampa, Fla (V.S.N.)
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Lee JW, Ban MJ, Park JH, Lee SM. Effect of F-18 Fluorodeoxyglucose Uptake by Bone Marrow on the Prognosis of Head and Neck Squamous Cell Carcinoma. J Clin Med 2019; 8:E1169. [PMID: 31382679 PMCID: PMC6723329 DOI: 10.3390/jcm8081169] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 07/22/2019] [Accepted: 08/01/2019] [Indexed: 12/26/2022] Open
Abstract
The purpose of this study was to assess the relationship between F-18 fluorodeoxyglucose (FDG) uptake in bone marrow (BM) on positron emission tomography/computed tomography (PET/CT) and survival in patients with head and neck squamous cell carcinoma (HNSCC). We retrospectively enrolled 157 HNSCC patients who underwent staging FDG PET/CT and subsequent treatment. On PET/CT, primary tumor metabolic characteristics, mean FDG uptake of BM (BM SUV), and BM-to-liver uptake ratio (BLR) were measured. The prognostic significance of FDG uptake of BM for predicting disease progression-free survival and distant failure-free survival was assessed using a Cox proportional hazards regression model. In univariate analysis for disease progression-free survival, increased BM SUV and BLR were associated with poor survival. In multivariate analysis, BLR (p = 0.044; hazard ratio, 1.96), TNM stage (p = 0.014; hazard ratio, 2.87) and maximum FDG uptake of the primary tumor (p = 0.046; hazard ratio, 2.38) were independently associated with disease progression-free survival. For distant failure-free survival, BLR, TNM stage, tumor size, and metabolic parameters of the primary tumor showed prognostic significance in univariate analysis. However, none of the variables showed significance in multivariate analysis. FDG uptake of BM in HNSCC patients might be a significant predictor for disease progression-free survival. Further studies with large patient population are needed to validate the results.
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Affiliation(s)
- Jeong Won Lee
- Department of Nuclear Medicine, Catholic Kwandong University College of Medicine, International St. Mary's Hospital, Incheon 22711, Korea
| | - Myung Jin Ban
- Department of Otorhinolaryngology-Head and Neck Surgery, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea
| | - Jae Hong Park
- Department of Otorhinolaryngology-Head and Neck Surgery, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea
| | - Sang Mi Lee
- Department of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, Cheonan 31151, Korea.
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