|
1
|
Boers J, Eisses B, Zwager MC, van Geel JJL, Bensch F, de Vries EFJ, Hospers GAP, Glaudemans AWJM, Brouwers AH, den Dekker MAM, Elias SG, Kuip EJM, van Herpen CML, Jager A, van der Veldt AAM, Oprea-Lager DE, de Vries EGE, van der Vegt B, Menke-van der Houven van Oordt WC, Schröder CP. Correlation between Histopathological Prognostic Tumor Characteristics and [ 18F]FDG Uptake in Corresponding Metastases in Newly Diagnosed Metastatic Breast Cancer. Diagnostics (Basel) 2024; 14:416. [PMID: 38396455 PMCID: PMC10887896 DOI: 10.3390/diagnostics14040416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND In metastatic breast cancer (MBC), [18F]fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG-PET/CT) can be used for staging. We evaluated the correlation between BC histopathological characteristics and [18F]FDG uptake in corresponding metastases. PATIENTS AND METHODS Patients with non-rapidly progressive MBC of all subtypes prospectively underwent a baseline histological metastasis biopsy and [18F]FDG-PET. Biopsies were assessed for estrogen, progesterone, and human epidermal growth factor receptor 2 (ER, PR, HER2); Ki-67; and histological subtype. [18F]FDG uptake was expressed as maximum standardized uptake value (SUVmax) and results were expressed as geometric means. RESULTS Of 200 patients, 188 had evaluable metastasis biopsies, and 182 of these contained tumor. HER2 positivity and Ki-67 ≥ 20% were correlated with higher [18F]FDG uptake (estimated geometric mean SUVmax 10.0 and 8.8, respectively; p = 0.0064 and p = 0.014). [18F]FDG uptake was lowest in ER-positive/HER2-negative BC and highest in HER2-positive BC (geometric mean SUVmax 6.8 and 10.0, respectively; p = 0.0058). Although [18F]FDG uptake was lower in invasive lobular carcinoma (n = 31) than invasive carcinoma NST (n = 146) (estimated geometric mean SUVmax 5.8 versus 7.8; p = 0.014), the metastasis detection rate was similar. CONCLUSIONS [18F]FDG-PET is a powerful tool to detect metastases, including invasive lobular carcinoma. Although BC histopathological characteristics are related to [18F]FDG uptake, [18F]FDG-PET and biopsy remain complementary in MBC staging (NCT01957332).
Collapse
Affiliation(s)
- Jorianne Boers
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Bertha Eisses
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Mieke C. Zwager
- Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (M.C.Z.); (B.v.d.V.)
| | - Jasper J. L. van Geel
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Frederike Bensch
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Erik F. J. de Vries
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (E.F.J.d.V.); (A.W.J.M.G.); (A.H.B.)
| | - Geke A. P. Hospers
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Andor W. J. M. Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (E.F.J.d.V.); (A.W.J.M.G.); (A.H.B.)
| | - Adrienne H. Brouwers
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (E.F.J.d.V.); (A.W.J.M.G.); (A.H.B.)
| | - Martijn A. M. den Dekker
- Department of Radiology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands;
| | - Sjoerd G. Elias
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, 3584 Utrecht, The Netherlands;
| | - Evelien J. M. Kuip
- Department of Medical Oncology, Radboud Medical Center, 6500 Nijmegen, The Netherlands; (E.J.M.K.); (C.M.L.v.H.)
| | - Carla M. L. van Herpen
- Department of Medical Oncology, Radboud Medical Center, 6500 Nijmegen, The Netherlands; (E.J.M.K.); (C.M.L.v.H.)
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 Rotterdam, The Netherlands; (A.J.); (A.A.M.v.d.V.)
| | - Astrid A. M. van der Veldt
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 Rotterdam, The Netherlands; (A.J.); (A.A.M.v.d.V.)
| | - Daniela E. Oprea-Lager
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VU University Medical Center, 1081 Amsterdam, The Netherlands;
| | - Elisabeth G. E. de Vries
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
| | - Bert van der Vegt
- Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (M.C.Z.); (B.v.d.V.)
| | | | - Carolina P. Schröder
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands; (J.B.); (B.E.); (J.J.L.v.G.); (F.B.); (G.A.P.H.); (E.G.E.d.V.)
- Department of Medical Oncology, Dutch Cancer Institute, 1066 Amsterdam, The Netherlands
| |
Collapse
|
|
2
|
van Geel JJL, de Vries EFJ, van Kruchten M, Hospers GAP, Glaudemans AWJM, Schröder CP. Molecular imaging as biomarker for treatment response and outcome in breast cancer. Ther Adv Med Oncol 2023; 15:17588359231170738. [PMID: 37223262 PMCID: PMC10201167 DOI: 10.1177/17588359231170738] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 03/28/2023] [Indexed: 05/25/2023] Open
Abstract
Molecular imaging, such as positron emission tomography (PET), is increasingly used as biomarker to predict and assess treatment response in breast cancer. The number of biomarkers is expanding with specific tracers for tumour characteristics throughout the body and this information can be used to aid the decision-making process. These measurements include metabolic activity using [18F]fluorodeoxyglucose PET ([18F]FDG-PET), oestrogen receptor (ER) expression using 16α-[18F]Fluoro-17β-oestradiol ([18F]FES)-PET and human epidermal growth factor receptor 2 (HER2) expression using PET with radiolabelled trastuzumab (HER2-PET). In early breast cancer, baseline [18F]FDG-PET is frequently used for staging, but limited subtype-specific data reduce its usefulness as biomarker for treatment response or outcome. Early metabolic change on serial [18F]FDG-PET is increasingly used in the neo-adjuvant setting as dynamic biomarker to predict pathological complete response to systemic therapy, potentially allowing de-intensification or step-up intensification of treatment. In the metastatic setting, baseline [18F]FDG-PET and [18F]FES-PET can be used as biomarker to predict treatment response, in triple-negative and ER-positive breast cancer, respectively. Metabolic progression on repeated [18F]FDG-PET appears to precede progressive disease on standard evaluation imaging; however, subtype-specific studies are limited and more prospective data are needed before implementation in clinical practice. Even though (repeated) [18F]FDG-PET, [18F]FES-PET and HER2-PEt all show promising results as biomarkers to predict therapy response and outcome, for eventual integration into clinical practice, future studies will have to clarify at what timepoint this integration has to optimally take place.
Collapse
Affiliation(s)
- Jasper J. L. van Geel
- Department of Medical Oncology, University
Medical Center Groningen, University of Groningen, Groningen, The
Netherlands
| | - Erik F. J. de Vries
- Department of Nuclear Medicine and Molecular
Imaging, University Medical Center Groningen, University of Groningen,
Groningen, The Netherlands
| | - Michel van Kruchten
- Department of Medical Oncology, University
Medical Center Groningen, University of Groningen, Groningen, The
Netherlands
| | - Geke A. P. Hospers
- Department of Medical Oncology, University
Medical Center Groningen, University of Groningen, Groningen, The
Netherlands
| | - Andor W. J. M. Glaudemans
- Department of Nuclear Medicine and Molecular
Imaging, University Medical Center Groningen, University of Groningen,
Groningen, The Netherlands
| | - Carolina P. Schröder
- Department of Medical Oncology, University
Medical Center Groningen, University of Groningen, Groningen, The
Netherlands
- Department of Medical Oncology, Netherlands
Cancer Institute, Plesmanlaan 121, Amsterdam 1066 CX, The Netherlands
| |
Collapse
|
|
3
|
Sengoz T, Karakaya YA, Gultekin A, Yaylali O, Senol H, Yuksel D. Relationships of 18F-FDG uptake by primary tumors with prognostic factors and molecular subtype in ductal breast cancer. Rev Esp Med Nucl Imagen Mol 2022; 41:32-38. [PMID: 34991834 DOI: 10.1016/j.remnie.2021.01.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 11/18/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVES In this study, we aimed to investigate the correlation between SUVmax of primary tumor and prognostic factors/molecular subtype in ductal breast cancer patients. MATERIALS AND METHODS We retrospectively reviewed 150 female patients with pathologically proven invasive ductal breast cancer from January 2015 to October 2019 who underwent 18F-FDG PET/CT for initial staging. Histopathological prognostic features of the primary tumor (histological grade, hormone receptor status, Ki-67 index, vb.) were obtained from the tru-cut biopsy report. In 18F-FDG PET/CT studies, the maximum standardized uptake value (SUVmax) of the primary breast tumor was calculated and compared with the presence of axillary lymphadenopathy and/or distant metastases, histopathological prognostic factors and molecular subtype. RESULTS The high SUVmax of primary breast tumors is significantly correlated with the clinicopathological factors: high tumor size, high histologic grade, high Ki-67 index, axillary lymph node positivity and distant metastasis. SUVmax value was significantly higher in patients with basal subtype than patients with Luminal A subtype (8,14 ± 3,71 and 4,64 ± 2,45, p = 0,002). Correlation analysis revealed a low correlation between Ki-67 index and SUVmax (r = 0,276, p = 0,001) and moderate correlation between tumor size and SUVmax (r = 0,470, p = 0,001). In multivariate linear regression analysis, Ki-67 index and tumor size had a statistically significant effect on SUVmax values. As these parameters increase, it is seen that it increases SUVmax values (p = 0,004, Std Beta: 0,228, 95% CI:0,010-0,055 and p = 0,001, Std Beta:0,374, 95% CI:0,55-0,136, respectively). CONCLUSION High SUVmax value is associated with factors suggesting poor prognosis. Pretreatment 18F-FDG PET/CT can be used as a tool to predict prognosis in breast cancer.
Collapse
Affiliation(s)
- Tarik Sengoz
- Pamukkale University, Medical Faculty, Department of Nuclear Medicine, Denizli, Turkey.
| | - Yeliz Arman Karakaya
- Pamukkale University, Medical Faculty, Department of Pathology, Denizli, Turkey.
| | - Aziz Gultekin
- Pamukkale University, Medical Faculty, Department of Nuclear Medicine, Denizli, Turkey.
| | - Olga Yaylali
- Pamukkale University, Medical Faculty, Department of Nuclear Medicine, Denizli, Turkey.
| | - Hande Senol
- Pamukkale University, Medical Faculty, Department of Biostatistics, Denizli, Turkey.
| | - Dogangun Yuksel
- Pamukkale University, Medical Faculty, Department of Nuclear Medicine, Denizli, Turkey.
| |
Collapse
|
|
4
|
Sengoz T, Karakaya YA, Gültekin A, Yaylali O, Senol H, Yuksel D. Relationships of 18F-FDG uptake by primary tumors with prognostic factors and molecular subtype in ductal breast cancer. Rev Esp Med Nucl Imagen Mol 2021; 41:S2253-654X(20)30211-0. [PMID: 34090841 DOI: 10.1016/j.remn.2020.11.006] [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: 08/20/2020] [Revised: 11/16/2020] [Accepted: 11/18/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVES In this study, we aimed to investigate the correlation between SUVmax of primary tumor and prognostic factors/molecular subtype in ductal breast cancer patients. MATERIALS AND METHODS We retrospectively reviewed 150 female patients with pathologically proven invasive ductal breast cancer from January 2015 to October 2019 who underwent 18F-FDG PET/CT for initial staging. Histopathological prognostic features of the primary tumor (histological grade, hormone receptor status, Ki-67 index, vb.) were obtained from the tru-cut biopsy report. In 18F-FDG PET/CT studies, the maximum standardized uptake value (SUVmax) of the primary breast tumor was calculated and compared with the presence of axillary lymphadenopathy and/or distant metastases, histopathological prognostic factors and molecular subtype. RESULTS The high SUVmax of primary breast tumors is significantly correlated with the clinicopathological factors: high tumor size, high histologic grade, high Ki-67 index, axillary lymph node positivity and distant metastasis. SUVmax value was significantly higher in patients with basal subtype than patients with Luminal A subtype (8.14±3.71 and 4.64±2.45, p=0.002). Correlation analysis revealed a low correlation between Ki-67 index and SUVmax (r=0.276, p=0.001) and moderate correlation between tumor size and SUVmax (r=0.470, p=0.001). In multivariate linear regression analysis, Ki-67 index and tumor size had a statistically significant effect on SUVmax values. As these parameters increase, it is seen that it increases SUVmax values (p=0.004, Std Beta: 0.228, 95% CI: 0.010-0.055 and p=0.001, Std Beta: 0.374, 95% CI: 0.55-0.136, respectively). CONCLUSION High SUVmax value is associated with prognotic factors suggesting poor prognosis. Pretreatment 18F-FDG PET/CT can be used as a tool to predict prognosis in breast cancer.
Collapse
Affiliation(s)
- T Sengoz
- Pamukkale University, Medical Faculty, Department of Nuclear Medicine, Denizli, Turkey.
| | - Y A Karakaya
- Pamukkale University, Medical Faculty, Department of Pathology, Denizli, Turkey
| | - A Gültekin
- Pamukkale University, Medical Faculty, Department of Nuclear Medicine, Denizli, Turkey
| | - O Yaylali
- Pamukkale University, Medical Faculty, Department of Nuclear Medicine, Denizli, Turkey
| | - H Senol
- Pamukkale University, Medical Faculty, Department of Biostatistics, Denizli, Turkey
| | - D Yuksel
- Pamukkale University, Medical Faculty, Department of Nuclear Medicine, Denizli, Turkey
| |
Collapse
|
|
5
|
Boers J, de Vries EFJ, Glaudemans AWJM, Hospers GAP, Schröder CP. Application of PET Tracers in Molecular Imaging for Breast Cancer. Curr Oncol Rep 2020; 22:85. [PMID: 32627087 PMCID: PMC7335757 DOI: 10.1007/s11912-020-00940-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE OF REVIEW Molecular imaging with positron emission tomography (PET) is a powerful tool to visualize breast cancer characteristics. Nonetheless, implementation of PET imaging into cancer care is challenging, and essential steps have been outlined in the international "imaging biomarker roadmap." In this review, we identify hurdles and provide recommendations for implementation of PET biomarkers in breast cancer care, focusing on the PET tracers 2-[18F]-fluoro-2-deoxyglucose ([18F]-FDG), sodium [18F]-fluoride ([18F]-NaF), 16α-[18F]-fluoroestradiol ([18F]-FES), and [89Zr]-trastuzumab. RECENT FINDINGS Technical validity of [18F]-FDG, [18F]-NaF, and [18F]-FES is established and supported by international guidelines. However, support for clinical validity and utility is still pending for these PET tracers in breast cancer, due to variable endpoints and procedures in clinical studies. Assessment of clinical validity and utility is essential towards implementation; however, these steps are still lacking for PET biomarkers in breast cancer. This could be solved by adding PET biomarkers to randomized trials, development of imaging data warehouses, and harmonization of endpoints and procedures.
Collapse
Affiliation(s)
- Jorianne Boers
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Erik F J de Vries
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Andor W J M Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Geke A P Hospers
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Carolina P Schröder
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
| |
Collapse
|
|
6
|
Naghavi-Behzad M, Bjerg Petersen C, Vogsen M, Braad PE, Grubbe Hildebrandt M, Gerke O. Prognostic Value of Dual-Time-Point 18F-Fluorodeoxyglucose PET/CT in Metastatic Breast Cancer: An Exploratory Study of Quantitative Measures. Diagnostics (Basel) 2020; 10:diagnostics10060398. [PMID: 32545312 PMCID: PMC7344801 DOI: 10.3390/diagnostics10060398] [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: 05/26/2020] [Revised: 06/06/2020] [Accepted: 06/08/2020] [Indexed: 11/28/2022] Open
Abstract
This study aimed to compare the prognostic value of quantitative measures of [18F]-fluorodeoxyglucose positron emission tomography with integrated computed tomography (FDG-PET/CT) for the response monitoring of patients with metastatic breast cancer (MBC). In this prospective study, 22 patients with biopsy-verified MBC diagnosed between 2011 and 2014 at Odense University Hospital (Denmark) were followed up until 2019. A dual-time-point FDG-PET/CT scan protocol (1 and 3 h) was applied at baseline, when MBC was diagnosed. Baseline characteristics and quantitative measures of maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), corrected SUVmean (cSUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and corrected TLG (cTLG) were collected. Survival time was analyzed using the Kaplan–Meier method and was regressed on MTV, TLG, and cTLG while adjusting for clinicopathological characteristics. Among the 22 patients included (median age: 59.5 years), 21 patients (95%) died within the follow-up period. Median survival time was 29.13 months (95% Confidence interval: 20.4–40 months). Multivariable Cox proportional hazards regression analyses of survival time showed no influence from the SUVmean, cSUVmean, or SUVmax, while increased values of MTV, TLG, and cTLG were significantly associated with slightly higher risk, with hazard ratios ranging between 1.0003 and 1.004 (p = 0.007 to p = 0.026). Changes from 1 to 3 h were insignificant for all PET measures in the regression model. In conclusion, MTV and TLG are potential prognostic markers for overall survival in MBC patients.
Collapse
Affiliation(s)
- Mohammad Naghavi-Behzad
- Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark; (C.B.P.); (M.V.); (M.G.H.); (O.G.)
- Department of Nuclear Medicine, Odense University Hospital, 5000 Odense, Denmark;
- Open Patient data Explorative Network (OPEN), Odense University Hospital, 5000 Odense, Denmark
- Correspondence: or ; Tel.: +45-91609622
| | - Charlotte Bjerg Petersen
- Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark; (C.B.P.); (M.V.); (M.G.H.); (O.G.)
| | - Marianne Vogsen
- Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark; (C.B.P.); (M.V.); (M.G.H.); (O.G.)
- Department of Nuclear Medicine, Odense University Hospital, 5000 Odense, Denmark;
- Open Patient data Explorative Network (OPEN), Odense University Hospital, 5000 Odense, Denmark
- Department of Oncology, Odense University Hospital, 5000 Odense, Denmark
| | - Poul-Erik Braad
- Department of Nuclear Medicine, Odense University Hospital, 5000 Odense, Denmark;
| | - Malene Grubbe Hildebrandt
- Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark; (C.B.P.); (M.V.); (M.G.H.); (O.G.)
- Department of Nuclear Medicine, Odense University Hospital, 5000 Odense, Denmark;
- Open Patient data Explorative Network (OPEN), Odense University Hospital, 5000 Odense, Denmark
- Centre for Innovative Medical Technology, Odense University Hospital, 5000 Odense, Denmark
- Centre for Personalized Response Monitoring in Oncology, Odense University Hospital, 5000 Odense, Denmark
| | - Oke Gerke
- Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark; (C.B.P.); (M.V.); (M.G.H.); (O.G.)
- Department of Nuclear Medicine, Odense University Hospital, 5000 Odense, Denmark;
| |
Collapse
|
|
7
|
Grimm LJ, Mazurowski MA. Breast Cancer Radiogenomics: Current Status and Future Directions. Acad Radiol 2020; 27:39-46. [PMID: 31818385 DOI: 10.1016/j.acra.2019.09.012] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 07/17/2019] [Accepted: 09/08/2019] [Indexed: 12/13/2022]
Abstract
Radiogenomics is an area of research that aims to identify associations between imaging phenotypes ("radio-") and tumor genome ("-genomics"). Breast cancer radiogenomics research in particular has been an especially prolific area of investigation in recent years as evidenced by the wide number and variety of publications and conferences presentations. To date, research has primarily been focused on dynamic contrast enhanced pre-operative breast MRI and breast cancer molecular subtypes, but investigations have extended to all breast imaging modalities as well as multiple additional genetic markers including those that are commercially available. Furthermore, both human and computer-extracted features as well as deep learning techniques have been explored. This review will summarize the specific imaging modalities used in radiogenomics analysis, describe the methods of extracting imaging features, and present the types of genomics, molecular, and related information used for analysis. Finally, the limitations and future directions of breast cancer radiogenomics research will be discussed.
Collapse
|
|
8
|
Türkölmez Ş, Aksoy SY, Özdemir E, Kandemir Z, Yıldırım N, Özsavran AY, Çetindağ MF, Köse K. Prognostic Significance of Standardized Uptake Value on 18Fluorine-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Patients with Nasopharyngeal Carcinoma. World J Nucl Med 2017; 16:33-38. [PMID: 28217017 PMCID: PMC5314661 DOI: 10.4103/1450-1147.181151] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The aim of this study was to investigate the prognostic significance of standardized uptake value (SUV) on 18 fluorine-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in patients with nasopharyngeal carcinoma (NPC). Thirty-four patients who have histologically proven NPC and underwent 18F-FDG PET/CT were included in this study. After 18F-FDG PET/CT, all the patients received radiation therapy and 32 of them received concomitant weekly chemotherapy. The maximum SUV (SUVmax) at the primary tumor and the SUVmaxof the highest neck nodes were determined. The SUVmax-T ranged from 5.00 to 30.80 (mean: 15.37 ± 6.10) and there was no difference between SUVmax-T values for early and late stages (P = 0.99). The SUVmax-N ranged from 3.10 to 23.80 (mean: 13.23 ± 5.76). There was no correlation between SUVmax-T and SUVmax-N (r = 0.111, P = 0.532). There was no difference between the SUVmax-T and the positivity of neck lymph nodes (P = 0.169). The ability of SUVmaks-N to predict stage was obtained by a receiver operating characteristic (ROC) analysis. The area under the curve is 0.856 and the best cut-off value is 7.88. There was a good correlation between SUVmax-N and stage. While the mean SUVmax-T for the alive patients was slightly lower than that for the dead (14.65 ± 5.58 vs. 20.30 ± 7.92, P = 0.061), the difference between the groups was not statistically significant. Furthermore, there was no statistically significant difference for SUVmax-N between these two groups (P: 0.494). Cox-regression analysis showed that an increase in SUVmax-T and SUVmax-N was associated with death risk (relative risk [RR]: 1.13, P = 0.078 and RR: 1.052, P = 0.456, respectively). SUVmax-T and SUVmax-N were independent prognostic factors for survival in NPC patients. This will help the clinicians in choosing suitable candidates for more aggressive treatment modalities.
Collapse
Affiliation(s)
- Şeyda Türkölmez
- Department of Nuclear Medicine, Ankara Ataturk Training and Research Hospital, Yıldırım Beyazıt University, Ankara, Turkey
| | - Sabire Yılmaz Aksoy
- Department of Nuclear Medicine, Ankara Ataturk Training and Research Hospital, Ankara, Turkey
| | - Elif Özdemir
- Department of Nuclear Medicine, Ankara Ataturk Training and Research Hospital, Ankara, Turkey
| | - Zuhal Kandemir
- Department of Nuclear Medicine, Ankara Ataturk Training and Research Hospital, Ankara, Turkey
| | - Nilüfer Yıldırım
- Department of Nuclear Medicine, Ankara Ataturk Training and Research Hospital, Ankara, Turkey
| | - Atiye Yılmaz Özsavran
- Department of Radiation Oncology, Ankara Ataturk Training and Research Hospital, Ankara, Turkey
| | - Mehmet Faik Çetindağ
- Department of Radiation Oncology, Ankara Ataturk Training and Research Hospital, Ankara, Turkey
| | - Kenan Köse
- Department of Biostatistics, Ankara University Medical School, Ankara, Turkey
| |
Collapse
|
|
9
|
Could semiquantitative FDG analysis add information to the prognosis in patients with stage II/III breast cancer undergoing neoadjuvant treatment? Eur J Nucl Med Mol Imaging 2015; 42:1648-1655. [DOI: 10.1007/s00259-015-3088-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 05/14/2015] [Indexed: 12/22/2022]
|
|
10
|
The Role of (18)F-FDG PET/CT as a Prognostic Factor in Patients with Synovial Sarcoma. Nucl Med Mol Imaging 2014; 49:33-41. [PMID: 25774236 DOI: 10.1007/s13139-014-0301-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2014] [Revised: 09/14/2014] [Accepted: 09/26/2014] [Indexed: 01/27/2023] Open
Abstract
PURPOSE This research aims to investigate the potential of (18)F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET) to predict pathologic response after neoadjuvant chemotherapy (NAC) and overall survival (OS) of patients with synovial sarcoma in Korea. METHODS Twenty patients with synovial sarcoma from January 2001 to December 2011 were reviewed retrospectively. All patients underwent pre-treatment FDG PET and tumor removal. Patients were classified with the maximum SUV (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), age, sex, histologic subtype, tumor size, NAC, resection margin, and metastasis at diagnosis. Pathologic response was assessed using the French Federation of Cancer Centers system. Statistical analyses were analyzed using the Kaplan-Meier method, log-rank test, Cox proportional hazards regression model, and Mann-Whitney test. RESULTS Nine patients (45 %) showed pathologic response, and ten patients survived. Higher SUVmax, higher MTV, higher TLG, monophasic epithelial type, and metastasis at diagnosis were significantly related to poorer OS (p = 0.047, 0.016, 0.016, 0.045, and 0.018, respectively). By multivariate analysis, metastasis at diagnosis was significantly related to poorer OS (p = 0.012/HR = 5.9, 95 % CI 1.47 to 24.1). The SUVmax, MTV, and TLG of the non-responder group were significantly higher than those of the responder group (p = 0.020, 0.020, and 0.020, respectively). There was no significant difference in size between the two groups (p = 0.062). CONCLUSIONS A higher SUVmax on the pre-treatment scan, monophasic epithelial type, and metastasis at diagnosis were significantly associated with a poorer OS, and pathologic responders showed a higher SUVmax before NAC. The PET parameters can be used to predict OS and pathologic response in patients with synovial sarcomas before NAC.
Collapse
|
|
11
|
Algin E, Ozet A, Gumusay O, Cetin B, Akdemir UO, Benekli M, Coskun U, Uner A, Kapucu O, Buyukberber S. Association between survival and maximum standardized uptake value of liver metastases detected by 18-fluoro-2-deoxy-d-glucose positron emission tomography-computed tomography in patients with adenocarcinoma of unknown primary origin. Ann Nucl Med 2014; 28:891-6. [DOI: 10.1007/s12149-014-0896-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Accepted: 07/03/2014] [Indexed: 12/22/2022]
|
|
12
|
Whole-body total lesion glycolysis measured on fluorodeoxyglucose positron emission tomography/computed tomography as a prognostic variable in metastatic breast cancer. BMC Cancer 2014; 14:525. [PMID: 25048880 PMCID: PMC4223546 DOI: 10.1186/1471-2407-14-525] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2014] [Accepted: 07/09/2014] [Indexed: 01/13/2023] Open
Abstract
Background In this retrospective study, the authors evaluated the prognostic value of whole-body total lesion glycolysis (WTLG) on FDG/PET images in metastatic breast cancer (MBC) patients. Methods We retrospectively evaluated 54 MBC patients who were diagnosed as having one or more metastatic lesions between June 2005 and March 2013. Twenty-four patients were diagnosed at the initial presentation (group A) and 30 patients were diagnosed for the first time at some point after a surgery (group B). Patients were excluded if they had received chemotherapy within 30 days before PET/CT. SUVmax and total TLG were calculated for all lesions in each patient and the highest SUVmax and the whole-body TLG (WTLG) values were used as independent variables for the analyses. Mean ages and the proportions of histopathological subtypes were compared between two groups using Mann–Whitney U test and Fisher’s exact test, respectively. The prognostic significance of PET parameters was assessed using Cox proportional hazards regression analysis. Results For groups A and B, the median follow-up period was 26 months (range, 3–58 months) and 40.5 months (range, 3–69 months), and the median age was 61 years (range, 42–81 years) and 59 years (range, 24–74 years), respectively. There were no significant differences between two groups in age (p = 0.294) or histopathological subtype (p = 0.384). In the univariate analyses, WTLG was found to be significantly associated with overall survival (OS) for patients of group A (p = 0.012). In the multivariate analysis, WTLG was also significantly associated with OS (p = 0.015). Only hormonal receptor level was a significant indicator of longer OS in patients with recurrent MBC (group B). Conclusions This study demonstrated that WTLG on PET/CT is an independent prognostic factor for survival in breast cancer patients with metastases at the initial presentation.
Collapse
|
|
13
|
Gilardi L, Colleoni M, Paganelli G. PET/CT and breast cancer subtypes. Eur J Nucl Med Mol Imaging 2013; 40:1301-3. [DOI: 10.1007/s00259-013-2472-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
|