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Saleh GA, Batouty NM, Gamal A, Elnakib A, Hamdy O, Sharafeldeen A, Mahmoud A, Ghazal M, Yousaf J, Alhalabi M, AbouEleneen A, Tolba AE, Elmougy S, Contractor S, El-Baz A. Impact of Imaging Biomarkers and AI on Breast Cancer Management: A Brief Review. Cancers (Basel) 2023; 15:5216. [PMID: 37958390 PMCID: PMC10650187 DOI: 10.3390/cancers15215216] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/13/2023] [Accepted: 10/21/2023] [Indexed: 11/15/2023] Open
Abstract
Breast cancer stands out as the most frequently identified malignancy, ranking as the fifth leading cause of global cancer-related deaths. The American College of Radiology (ACR) introduced the Breast Imaging Reporting and Data System (BI-RADS) as a standard terminology facilitating communication between radiologists and clinicians; however, an update is now imperative to encompass the latest imaging modalities developed subsequent to the 5th edition of BI-RADS. Within this review article, we provide a concise history of BI-RADS, delve into advanced mammography techniques, ultrasonography (US), magnetic resonance imaging (MRI), PET/CT images, and microwave breast imaging, and subsequently furnish comprehensive, updated insights into Molecular Breast Imaging (MBI), diagnostic imaging biomarkers, and the assessment of treatment responses. This endeavor aims to enhance radiologists' proficiency in catering to the personalized needs of breast cancer patients. Lastly, we explore the augmented benefits of artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications in segmenting, detecting, and diagnosing breast cancer, as well as the early prediction of the response of tumors to neoadjuvant chemotherapy (NAC). By assimilating state-of-the-art computer algorithms capable of deciphering intricate imaging data and aiding radiologists in rendering precise and effective diagnoses, AI has profoundly revolutionized the landscape of breast cancer radiology. Its vast potential holds the promise of bolstering radiologists' capabilities and ameliorating patient outcomes in the realm of breast cancer management.
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Affiliation(s)
- Gehad A. Saleh
- Diagnostic and Interventional Radiology Department, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt; (G.A.S.)
| | - Nihal M. Batouty
- Diagnostic and Interventional Radiology Department, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt; (G.A.S.)
| | - Abdelrahman Gamal
- Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt (A.E.T.)
| | - Ahmed Elnakib
- Electrical and Computer Engineering Department, School of Engineering, Penn State Erie, The Behrend College, Erie, PA 16563, USA;
| | - Omar Hamdy
- Surgical Oncology Department, Oncology Centre, Mansoura University, Mansoura 35516, Egypt;
| | - Ahmed Sharafeldeen
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA
| | - Ali Mahmoud
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA
| | - Mohammed Ghazal
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates; (M.G.)
| | - Jawad Yousaf
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates; (M.G.)
| | - Marah Alhalabi
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates; (M.G.)
| | - Amal AbouEleneen
- Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt (A.E.T.)
| | - Ahmed Elsaid Tolba
- Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt (A.E.T.)
- The Higher Institute of Engineering and Automotive Technology and Energy, New Heliopolis, Cairo 11829, Egypt
| | - Samir Elmougy
- Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt (A.E.T.)
| | - Sohail Contractor
- Department of Radiology, University of Louisville, Louisville, KY 40202, USA
| | - Ayman El-Baz
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA
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Ma G, You S, Xie Y, Gu B, Liu C, Hu X, Song S, Wang B, Yang Z. Pretreatment 18F-FDG uptake heterogeneity may predict treatment outcome of combined Trastuzumab and Pertuzumab therapy in patients with metastatic HER2 positive breast cancer. Cancer Imaging 2023; 23:90. [PMID: 37726862 PMCID: PMC10510219 DOI: 10.1186/s40644-023-00608-0] [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: 03/20/2023] [Accepted: 09/05/2023] [Indexed: 09/21/2023] Open
Abstract
OBJECTIVE Intra-tumoral heterogeneity of 18F-fluorodeoxyglucose (18F-FDG) uptake has been proven to be a surrogate marker for predicting treatment outcome in various tumors. However, the value of intra-tumoral heterogeneity in metastatic Human epidermal growth factor receptor 2(HER2) positive breast cancer (MHBC) remains unknown. The aim of this study was to evaluate 18F-FDG uptake heterogeneity to predict the treatment outcome of the dual target therapy with Trastuzumab and Pertuzumab(TP) in MHBC. METHODS Thirty-two patients with MHBC who underwent 18F-FDG positron emission tomography/computed tomography (PET/CT) scan before TP were enrolled retrospectively. The region of interesting (ROI) of the lesions were drawn, and maximum standard uptake value (SUVmax), mean standard uptake value (SUVmean), total lesion glycolysis (TLG), metabolic tumor volume (MTV) and heterogeneity index (HI) were recorded. Correlation between PET/CT parameters and the treatment outcome was analyzed by Spearman Rank Test. The ability to predict prognosis were determined by time-dependent survival receiver operating characteristic (ROC) analysis. And the survival analyses were then estimated by Kaplan-Meier method and compared by log-rank test. RESULTS The survival analysis showed that HI50% calculated by delineating the lesion with 50%SUVmax as threshold was a significant predictor of patients with MHBC treated by the treatment with TP. Patients with HI50% (≥ 1.571) had a significantly worse prognosis of progression free survival (PFS) (6.87 vs. Not Reach, p = 0.001). The area under curve (AUC), the sensitivity and the specificity were 0.88, 100% and 63.6% for PFS, respectively. CONCLUSION 18F-FDG uptake heterogeneity may be useful for predicting the prognosis of MHBC patients treated by TP.
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Affiliation(s)
- Guang Ma
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Center for Biomedical Imaging, Fudan University, Shanghai, 200032, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, 200032, China
| | - Shuhui You
- Department of Breast Cancer and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Yizhao Xie
- Department of Medical Oncology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Bingxin Gu
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Center for Biomedical Imaging, Fudan University, Shanghai, 200032, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, 200032, China
| | - Cheng Liu
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Center for Biomedical Imaging, Fudan University, Shanghai, 200032, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, 200032, China
| | - Xichun Hu
- Department of Breast Cancer and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Shaoli Song
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Center for Biomedical Imaging, Fudan University, Shanghai, 200032, China
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, 200032, China
| | - Biyun Wang
- Department of Breast Cancer and Urological Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
| | - Zhongyi Yang
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
- Center for Biomedical Imaging, Fudan University, Shanghai, 200032, China.
- Shanghai Engineering Research Center of Molecular Imaging Probes, Shanghai, 200032, China.
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Erol M, Önner H, Eren Karanis Mİ. Evaluation of the Histopathological Features of Early-stage Invasive Ductal Breast Carcinoma by 18Fluoride-fluorodeoxyglucose Positron Emission Tomography/Computed Tomography. Mol Imaging Radionucl Ther 2021; 30:129-136. [PMID: 34658227 PMCID: PMC8522516 DOI: 10.4274/mirt.galenos.2021.25582] [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] [Indexed: 12/02/2022] Open
Abstract
Objectives: This study investigates the relationship between 18fluoride-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) parameters and histopathological features in patients with early-stage invasive ductal breast carcinoma (IDBC). Methods: Patients with early-stage IDBC who underwent 18F-FDG PET/CT scan for staging were included in this retrospective study. The status of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2, Ki-67 proliferative index, and grades of tumors were recorded. The conventional metabolic parameters [maximum standard uptake value (SUVmax) and average standard uptake value] and volume-based parameters [metabolic tumor volume (MTV) and total lesion glycolysis] of the primary tumor were obtained from the 18F-FDG PET/CT images. The associations and correlations between the 18F-FDG PET/CT parameters and histopathological features were assessed. Results: One hundred forty-three patients were included. 18F-FDG PET/CT parameters, other than MTV, were significantly associated with the ER and PR status and Ki-67 index, while T-staging was significantly associated with all 18F-FDG PET/CT parameters. In the axillary lymph node (ALN) involvement, no significant difference was found in the 18F-FDG PET/CT parameters. In terms of the pathological stage, a significant difference was found in all 18F-FDG PET/CT parameters. 18F-FDG PET/CT parameters, other than MTV, were significantly higher in non-luminal breast tumors than luminal tumors and in high-grade tumors than low-grade ones. Triple-negative tumors had the highest 18F-FDG PET/CT parameter, but the difference was insignificant for MTV. The SUVmax had the strongest correlation with Ki-67 proliferative index. Conclusion: Tumors with aggressive histopathological features had higher 18F-FDG PET/CT parameter values. This study suggests that 18F-FDG PET/CT may provide prognostic information in patients with early-stage IDBC.
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Affiliation(s)
- Mustafa Erol
- University of Health Sciences Turkey, Konya City Hospital, Clinic of Nuclear Medicine, Konya, Turkey
| | - Hasan Önner
- University of Health Sciences Turkey, Konya City Hospital, Clinic of Nuclear Medicine, Konya, Turkey
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Prognostic value of metabolic tumor volume and total lesion glycolysis in breast cancer: a meta-analysis. Nucl Med Commun 2021; 41:824-829. [PMID: 32516244 DOI: 10.1097/mnm.0000000000001227] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES PET using F-fluorodeoxyglucose (FDG) has proven to be valuable in staging and monitoring of treatment response in breast cancer. We aimed to assess the prognostic value of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) in patients with breast cancer. METHODS A systematic search of MEDLINE and EMBASE was performed using the keywords of breast cancer, PET, and volume. Inclusion criteria were F-FDG PET used as an initial imaging tool; studies limited to patients with breast cancer who had not undergone any treatment before PET scans; and studies reporting survival data. Event-free survival (EFS) and overall survival (OS) were considered markers of outcome. RESULTS Nine studies comprising 975 patients were included in this study. The pooled hazard ratio (HR) for adverse events was 33.73 (P < 0.00001; I = 0%) with MTV from primary tumor and 2.89 (P < 0.00001; I = 45%) with TLG from primary tumor, meaning that primary tumors with high volumetric parameters were associated with progression or recurrence. However, the combined HRs for EFS of MTV, and TLG, and those for OS of MTV from whole-body tumor were NS. The pooled HR for OS of TLG from whole-body tumor was 2.95 (P = 0.18; I = 71%). CONCLUSION Volumetric parameters from F-FDG PET are significant prognostic factors for outcome in patients with breast cancer. Patients with a high MTV or TLG from primary tumor have a higher risk of adverse events. Patients with a high TLG from whole-body tumor have a higher risk of deaths.
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Qu YH, Long N, Ran C, Sun J. The correlation of 18F-FDG PET/CT metabolic parameters, clinicopathological factors, and prognosis in breast cancer. Clin Transl Oncol 2020; 23:620-627. [PMID: 32683540 DOI: 10.1007/s12094-020-02457-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 07/09/2020] [Indexed: 12/24/2022]
Abstract
PURPOSE To study the imaging parameters of 18F-fluorodeoxy glucose (18F-FDG) in breast cancer on positron emission tomography/computed tomography (PET/CT)-the correlation of clinical pathological factors and prognosis among the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of lesions for patients. METHODS From January 2012 to December 2014, a total of 125 female patients were treated in our hospital for the first time and were diagnosed as breast cancer by histopathology. They were selected as the research subjects. All of them had complete 18F-FDG PET/CT examination data before surgery, the postoperative clinicopathological information, and follow-up data. They were divided into the event group (38 cases) and the event-free group (87 cases) according to whether local recurrence or distant metastasis occurred after the follow-up, with the follow-up time 4-60 months. The correlation on 18F-FDG PET/CT metabolic parameters of breast cancer with clinicopathological factors and prognosis was retrospectively evaluated. RESULTS The primary lesions of 125 cases with breast cancers all had higher 18F-FDG uptake, and the SUVmax, MTV, and TLG of the primary tumors in the event group were significantly higher than those in the event-free group (t = 2.645, 2.782, 15.263, p = 0.011, 0.008, 0.000), p < 0.05; SUVmax, MTV, and TLG of primary breast cancer have no correlation with age and tumor site of patient (p > 0.05); there were statistically significant differences in the SUVmax, MTV, and TLG of primary tumor in the comparison of different tumor size, T stage, N stage, and histological grades (p < 0.05); all of SUVmax, MTV, and TLG in the estrogen receptor (ER) and/or progesterone receptor (PR) positive groups were lower than those in the negative group, with statistically significant difference (p < 0.05); the SUVmax, MTV, and TLG of human epidermal growth factor receptor 2 (HER2) positive group, proliferating cell nuclear antigen (Ki-67) high expression group were higher than those in the negative group and low expression group, with statistically significant difference (p < 0.05). There were 38 recurrence and metastasis cases within 125 cases with breast cancer in 5 years after operation, with the total recurrence and metastasis rate as 30.40% (38/125). The event-free survival rate in the SUVmax ≥ 8.64 group was significantly lower than that in the SUVmax < 8.64 group (p < 0.01). CONCLUSIONS The metabolic parameters of 18F-FDG PET/CT in breast cancer can reflect the biological behavior of the tumor indirectly; therefore, it was studied on the related correlation to provide the guidance of clinical individualized comprehensive treatment and prognostic judgment.
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Affiliation(s)
- Y-H Qu
- Department of Medical Imaging, The Affiliated Yantai Yuhuangding Hospital of Qindao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - N Long
- Department of Medical Imaging, The Affiliated Yantai Yuhuangding Hospital of Qindao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - C Ran
- Department of Medical Imaging, The Affiliated Yantai Yuhuangding Hospital of Qindao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - J Sun
- Department of Medical Imaging, The Affiliated Yantai Yuhuangding Hospital of Qindao University, No. 20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China.
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Wen W, Xuan D, Hu Y, Li X, Liu L, Xu D. Prognostic value of maximum standard uptake value, metabolic tumor volume, and total lesion glycolysis of positron emission tomography/computed tomography in patients with breast cancer: A systematic review and meta-analysis. PLoS One 2019; 14:e0225959. [PMID: 31826010 PMCID: PMC6905566 DOI: 10.1371/journal.pone.0225959] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 11/15/2019] [Indexed: 12/23/2022] Open
Abstract
Purpose A comprehensive systematic review of the literature was conducted on parameters from 18 F-FDG PET and a meta-analysis of the prognostic value of the maximal standard uptake value (SUVmax), metabolic tumor volume (MTV) and total lesional glycolysis (TLG) in patients with breast cancer (BC). Patients and methods Relevant English articles from PubMed, EMBASE, and the Cochrane Library were retrieved. Pooled hazard ratios (HRs) were used to assess the prognostic value of SUVmax, MTV, and TLG. Results A total of 20 primary studies with 3115 patients with BC were included. The combined HRs (95% confidence interval [CI] of higher SUVmax and higher TLG for event-free survival (EFS) were 1.53 (95% CI, 1.25–1.89, P = 0.0006) and 5.94 (95% CI, 2.57–13.71, P = 0.97), respectively. Regarding the overall survival (OS), the combined HRs were 1.22 (95%CI, 1.02–1.45, P = 0.0006) with higher SUVmax, and 2.91(95% CI, 1.75–4.85, P = 0.44) with higher MTV. Higher MTV showed no correlation with EFS [1.31(95% CI, 0.65–2.65, P = 0.18)] and similarly higher TLG showed no correlation with OS [1.20(95% CI, 0.65–2.23, P = 0.45)]. Subgroup analysis showed that SUVmax, with a median value of 5.55 was considered as a significant risk factor for both EFS and OS in BC patients. Conclusion Despite clinically heterogeneous BC patients and adoption of various methods between studies, the present meta-analysis results confirmed that patients with high SUVmax are at high risk of adverse events or death in BC patients, high MTV predicted a high risk of death and high TLG predicted a high risk of adverse events.
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Affiliation(s)
- Weibo Wen
- Department of Nuclear Medicine, Affiliated hospital of Yanbian University, Yanji, Jilin Province, China
- Center of Morphological Experiment, Medical College of Yanbian University, Yanji, Jilin Province, China
| | - Dongchun Xuan
- Department of Nuclear Medicine, Affiliated hospital of Yanbian University, Yanji, Jilin Province, China
| | - Yulai Hu
- Center of Morphological Experiment, Medical College of Yanbian University, Yanji, Jilin Province, China
| | - Xiangdan Li
- Center of Morphological Experiment, Medical College of Yanbian University, Yanji, Jilin Province, China
| | - Lan Liu
- Department of Pathology, Affiliated hospital of Yanbian University, Yanji, Jilin Province, China
- * E-mail: (DX); (LL)
| | - Dongyuan Xu
- Center of Morphological Experiment, Medical College of Yanbian University, Yanji, Jilin Province, China
- * E-mail: (DX); (LL)
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The ability of pre-treatment F-18 FDG PET/CT metabolic parameters for predicting axillary lymph node and distant metastasis and overall survival. Nucl Med Commun 2019; 40:1112-1121. [DOI: 10.1097/mnm.0000000000001085] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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FDG-PET/CT Versus Contrast-Enhanced CT for Response Evaluation in Metastatic Breast Cancer: A Systematic Review. Diagnostics (Basel) 2019; 9:diagnostics9030106. [PMID: 31461923 PMCID: PMC6787711 DOI: 10.3390/diagnostics9030106] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Revised: 08/16/2019] [Accepted: 08/23/2019] [Indexed: 12/12/2022] Open
Abstract
18F-fluorodeoxyglucose positron emission tomography with integrated computed tomography (FDG-PET/CT) and contrast-enhanced computed tomography (CT) can be used for response evaluation in metastatic breast cancer (MBC). In this study, we aimed to review literature comparing the PET Response Criteria in Solid Tumors (PERCIST) with Response Evaluation Criteria in Solid Tumors (RECIST) in patients with MBC. We made a systematic search in Embase, PubMed/Medline, and Cochrane Library using a modified PICO model. The population was MBC patients and the intervention was PERCIST or RECIST. Quality assessment was performed using the QUADAS-2 checklist. A total of 1975 articles were identified. After screening by title/abstract, 78 articles were selected for further analysis of which 2 duplicates and 33 abstracts/out of focus articles were excluded. The remaining 43 articles provided useful information, but only one met the inclusion and none of the exclusion criteria. This was a retrospective study of 65 patients with MBC showing one-year progression-free survival for responders versus non-responders to be 59% vs. 27% (p = 0.2) by RECIST compared to 64% vs. 0% (p = 0.0001) by PERCIST. This systematic literature review identified a lack of studies comparing the use of RECIST (with CE-CT) and PERCIST (with FDG-PET/CT) for response evaluation in metastatic breast cancer. The available sparse literature suggests that PERCIST might be more appropriate than RECIST for predicting prognosis in patients with MBC.
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Paydary K, Seraj SM, Zadeh MZ, Emamzadehfard S, Shamchi SP, Gholami S, Werner TJ, Alavi A. The Evolving Role of FDG-PET/CT in the Diagnosis, Staging, and Treatment of Breast Cancer. Mol Imaging Biol 2019. [PMID: 29516387 DOI: 10.1007/s11307-018-1181-3] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The applications of 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/X-ray computed tomography (PET/CT) in the management of patients with breast cancer have been extensively studied. According to these studies, PET/CT is not routinely performed for the diagnosis of primary breast cancer, although PET/CT in specific subtypes of breast cancer correlates with histopathologic features of the primary tumor. PET/CT can detect metastases to mediastinal, axial, and internal mammary nodes, but it cannot replace the sentinel node biopsy. In detection of distant metastases, this imaging tool may have a better accuracy in detecting lytic bone metastases compared to bone scintigraphy. Thus, PET/CT is recommended when advanced-stage disease is suspected, and conventional modalities are inconclusive. Also, PET/CT has a high sensitivity and specificity to detect loco-regional recurrence and is recommended in asymptomatic patients with rising tumor markers. Numerous studies support the future role of PET/CT in prediction of response to neoadjuvant chemotherapy (NAC). PET/CT has a higher diagnostic value for prognostic risk stratification in comparison with conventional modalities. With the continuing research on the treatment planning and evaluation of patients with breast cancer, the role of PET/CT can be further extended.
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Affiliation(s)
- Koosha Paydary
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | - Saeid Gholami
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas J Werner
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Abass Alavi
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA. .,Division of Nuclear Medicine, Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
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Kang S, Kim EH, Hwang JE, Shin JH, Jeong YS, Yim SY, Joo EW, Eun YG, Lee DJ, Sohn BH, Lee SH, Lim B, Lee JS. Prognostic significance of high metabolic activity in breast cancer: PET signature in breast cancer. Biochem Biophys Res Commun 2019; 511:185-191. [PMID: 30777332 DOI: 10.1016/j.bbrc.2019.02.035] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Accepted: 02/07/2019] [Indexed: 02/06/2023]
Abstract
High metabolic activity, reflected in increased glucose uptake, is one of the hallmarks of many cancers including breast cancer. However, not all cancers avidly take up glucose, suggesting heterogeneity in their metabolic demand. Thus, we aim to generate a genomic signature of glucose hypermetabolism in breast cancer and examine its clinical relevance. To identify genes significantly associated with glucose uptake, gene expression data were analyzed together with the standardized uptake values (SUVmax) of 18F-fluorodeoxy-glucose on positron emission tomography (PET) for 11 breast cancers. The resulting PET signature was evaluated for prognostic significance in four large independent patient cohorts (n = 5417). Potential upstream regulators accountable for the high glucose uptake were identified by gene network analysis. A PET signature of 242 genes was significantly correlated with SUVmax in breast cancer. In all four cohorts, high PET signature was significantly associated with poorer prognosis. The prognostic value of this PET signature was further supported by Cox regression analyses (hazard ratio 1.7, confidential interval 1.48-2.02; P < 0.001). The PET signature was also strongly correlated with previously established prognostic genomic signatures such as PAM50, Oncotype DX, and NKI. Gene network analyses suggested that MYC and TBX2 were the most significant upstream transcription factors in the breast cancers with high glucose uptake. A PET signature reflecting high glucose uptake is a novel independent prognostic factor in breast cancer. MYC and TBX2 are potential regulators of glucose uptake.
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Affiliation(s)
- Sanghee Kang
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Surgery, Korea University College of Medicine, Seoul, Republic of Korea
| | - Eui Hyun Kim
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Neurosurgery, Severance Hospital, Brain Tumor Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jun-Eul Hwang
- Department of Hematology-Oncolgy, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Ji-Hyun Shin
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yun Seong Jeong
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sun Young Yim
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Eun Wook Joo
- Department of Gynecology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Young Gyu Eun
- Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Dong Jin Lee
- Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Hallym University, Seoul, Republic of Korea
| | - Bo Hwa Sohn
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sung Hwan Lee
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bora Lim
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ju-Seog Lee
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Predicting Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer: Combined Statistical Modeling Using Clinicopathological Factors and FDG PET/CT Texture Parameters. Clin Nucl Med 2019; 44:21-29. [PMID: 30394924 DOI: 10.1097/rlu.0000000000002348] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE The aim of this study was to develop a combined statistical model using both clinicopathological factors and texture parameters from F-FDG PET/CT to predict responses to neoadjuvant chemotherapy in patients with breast cancer. MATERIALS AND METHODS A total of 435 patients with breast cancer were retrospectively enrolled. Clinical and pathological data were obtained from electronic medical records. Texture parameters were extracted from pretreatment FDG PET/CT images. The end point was pathological complete response, defined as the absence of residual disease or the presence of residual ductal carcinoma in situ without residual lymph node metastasis. Multivariable logistic regression modeling was performed using clinicopathological factors and texture parameters as covariates. RESULTS In the multivariable logistic regression model, various factors and parameters, including HER2, histological grade or Ki-67, gradient skewness, gradient kurtosis, contrast, difference variance, angular second moment, and inverse difference moment, were selected as significant prognostic variables. The predictive power of the multivariable logistic regression model incorporating both clinicopathological factors and texture parameters was significantly higher than that of a model with only clinicopathological factors (P = 0.0067). In subgroup analysis, texture parameters, including gradient skewness and gradient kurtosis, were selected as independent prognostic factors in the HER2-negative group. CONCLUSIONS A combined statistical model was successfully generated using both clinicopathological factors and texture parameters to predict the response to neoadjuvant chemotherapy. Results suggest that addition of texture parameters from FDG PET/CT can provide more information regarding treatment response prediction compared with clinicopathological factors alone.
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Yoo J, Kim BS, Yoon HJ. Predictive value of primary tumor parameters using 18F-FDG PET/CT for occult lymph node metastasis in breast cancer with clinically negative axillary lymph node. Ann Nucl Med 2018; 32:642-648. [PMID: 30094546 DOI: 10.1007/s12149-018-1288-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 07/20/2018] [Indexed: 12/01/2022]
Abstract
OBJECTIVE This study aimed to demonstrate the clinical significance of total lesion glycolysis (TLG) of primary breast cancer using 18F-FDG PET/CT to predict axillary lymph node (ALN) metastasis in invasive ductal breast cancer (IDC) with a clinically negative axillary lymph node (cN-ALN). METHODS 135 patients, newly diagnosed with IDC with CN-ALN between July 2016 and October 2017, were retrospectively enrolled. We estimated primary tumor PET/CT parameters including the maximum standard uptake value (SUVmax), metabolic tumor volume (MTV), and TLG, as well as clinicopathologic findings. All patients received breast surgery followed by pathologic axillary lymph node examination. RESULTS Of the 135 patients, 31 (23.0%) were diagnosed with pathologically proven metastatic ALN. In univariate analysis, SUVmax, MTV, and TLG of the primary breast tumor were correlated with metastatic ALN along with tumor size, lymphovascular invasion, CD34, and D2-40. On multivariate analysis, TLG (> 5.74, p = 0.009) had independent significance for predicting ALN metastasis in IDC with cN-ALN. CONCLUSION We demonstrated that TLG of primary tumors can be useful in predicting pathologic ALN metastasis in IDC patients with cN-ALN.
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Affiliation(s)
- Jang Yoo
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Bom Sahn Kim
- Department of Nuclear Medicine, Ewha Womans University School of Medicine, Seoul, South Korea.
| | - Hai-Jeon Yoon
- Department of Nuclear Medicine, Ewha Womans University School of Medicine, Seoul, South Korea
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Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as a predictive and prognostic subrogate. Ann Nucl Med 2018; 32:379-388. [DOI: 10.1007/s12149-018-1253-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 04/01/2018] [Indexed: 10/14/2022]
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Diao W, Tian F, Jia Z. The prognostic value of SUV max measuring on primary lesion and ALN by 18F-FDG PET or PET/CT in patients with breast cancer. Eur J Radiol 2018; 105:1-7. [PMID: 30017264 DOI: 10.1016/j.ejrad.2018.05.014] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 04/15/2018] [Accepted: 05/14/2018] [Indexed: 02/07/2023]
Abstract
PURPOSE To evaluate the prognostic value of maximum standardized uptake values (SUVmax) measured in the primary lesion and axillary lymph nodes (ALN) by pretreatment fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) or positron emission tomography/computed tomography (PET/CT) in patients with breast cancer. METHODS We systematically searched PubMed, Embase, and the Cochrane Library. The primary prognosis endpoint was event-free survival (EFS), and the secondary endpoint was overall survival (OS). The pooled hazard ratio (HR) was estimated by using random-effects model according to the results of heterogeneity. RESULTS Fifteen eligible studies with 3574 breast cancer patients were included. For EFS, patients with higher primary SUVmax showed a poorer survival prognosis with pooled HR of 1.96 (95% confidence interval (CI) 1.40-2.73). The combined HR of high SUVmax in ALN and ALN-to-primary SUVmax ratio (N/T ratio) were 1.89 (95% CI 0.70-5.07) and 2.06 (95% CI 0.59-7.21), respectively. In analyzing invasive ductal carcinoma (IDC) patients, the pooled HR was 1.91 (95% CI 1.40-2.64). For OS, the pooled HR of SUVmax in primary lesion and ALN were 0.64 (95% CI 0.23-1.84) and 1.09 (95% CI 0.07-16.53), respectively. CONCLUSIONS Our meta-analysis suggested that patients with high primary SUVmax may experience a higher risk for recurrence or a poor progression. Moreover, the SUVmax of 18F-FDG showed a significant prognostic value in IDC patients.
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Affiliation(s)
- Wei Diao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, PR China
| | - Fangfang Tian
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, PR China
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, PR China.
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Huang Y, Jian W, Zhao J, Wang G. Overexpression of HDAC9 is associated with poor prognosis and tumor progression of breast cancer in Chinese females. Onco Targets Ther 2018; 11:2177-2184. [PMID: 29713186 PMCID: PMC5909784 DOI: 10.2147/ott.s164583] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Breast cancer represents a serious health issue among females. HDAC9 has been identified as an oncogene in human cancers. This study sought to assess the prognostic value and the biologic function of HDAC9 in breast cancer patients. METHODS Expression of HDAC9 in breast cancer tissues and cells was evaluated by quantitative real-time polymerase chain reaction. Kaplan-Meier survival analysis and Cox regression assay were conducted to explore the prognostic significance of HDAC9. Cell experiments were performed to investigate the effects of HDAC9 on the biologic behaviors of breast cancer cells. RESULTS Expression of HDAC9 was significantly upregulated in both cancerous tissues and cells compared with the normal controls (all P<0.05). Overexpression of HDAC9 was correlated with lymph node metastasis (P=0.021) and TNM stage (P=0.004). Patients with high HDAC9 had poor overall survival compared to those with low levels of HDAC9 (log-rank P<0.05). Elevated HDAC9 was found to be an independent prognostic factor for the patients (hazard ratio=2.996, 95% CI=1.611-5.572, P=0.001). According to the cell experiments, tumor cell proliferation, migration and invasion were suppressed by knockdown of HDAC9. CONCLUSION All data demonstrated that overexpression of HDAC9 serves as a prognostic biomarker and may be involved in the tumor progression of breast cancer.
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Affiliation(s)
- Yixiang Huang
- Department of General Surgery, Tenth People’s Hospital of Tongji University, Shanghai, China
| | - Wei Jian
- Department of General Surgery, Tenth People’s Hospital of Tongji University, Shanghai, China
| | - Junyong Zhao
- Department of General Surgery, Tenth People’s Hospital of Tongji University, Shanghai, China
| | - Gang Wang
- Department of General Surgery, Tenth People’s Hospital of Tongji University, Shanghai, China
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Garcia-Vicente A, Pérez-Beteta J, Amo-Salas M, Molina D, Jimenez-Londoño G, Soriano-Castrejón A, Pena Pardo F, Martínez-González A. Predictive and prognostic potential of volume-based metabolic variables obtained by a baseline 18 F-FDG PET/CT in breast cancer with neoadjuvant chemotherapy indication. Rev Esp Med Nucl Imagen Mol 2018. [DOI: 10.1016/j.remnie.2017.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Garcia-Vicente AM, Pérez-Beteta J, Amo-Salas M, Molina D, Jimenez-Londoño GA, Soriano-Castrejón AM, Pena Pardo FJ, Martínez-González A. Predictive and prognostic potential of volume-based metabolic variables obtained by a baseline 18F-FDG PET/CT in breast cancer with neoadjuvant chemotherapy indication. Rev Esp Med Nucl Imagen Mol 2017; 37:73-79. [PMID: 29102649 DOI: 10.1016/j.remn.2017.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Revised: 08/16/2017] [Accepted: 09/13/2017] [Indexed: 12/16/2022]
Abstract
AIM To investigate the usefulness of metabolic variables using 18F-FDG PET/CT in the prediction of neoadjuvant chemotherapy (NC) response and the prognosis in locally advanced breast cancer (LABC). MATERIAL AND METHODS Prospective study including 67 patients with LABC, NC indication and a baseline 18F-FDG PET/CT. After breast tumor segmentation, SUV variables (SUVmax, SUVmean and SUVpeak) and volume-based variables, such as metabolic tumor volume (MTV) and total lesion glycolysis (TLG), were obtained. Tumors were grouped into molecular phenotypes, and classified as responders or non-responders after completion of NC. Disease-free status (DFs), disease-free survival (DFS), and overall survival (OS) were assessed. A univariate and multivariate analysis was performed to study the potential of all variables to predict DFs, DFS, and OS. RESULTS Fourteen patients were classified as responders. Median±SD of DFS and OS was 43±15 and 46±13 months, respectively. SUV and TLG showed a significant correlation (p<0.005) with the histological response, with higher values in responders compared to non-responders. MTV and TLG showed a significant association with DFs (p=0.015 and p=0.038 respectively). Median, mean and SD of MTV and TLG for patients with DFs were: 8.90, 13.73, 15.10 and 33.78, and 90.54 and 144.64, respectively. Median, mean and SD of MTV and TLG for patients with non-DFs were: 16.72, 29.70 and 31.09 and 90.89, 210.98 and 382.80, respectively. No significant relationships were observed with SUV variables and DFs. Volume-based variables were significantly associated with OS and DFS, although in multivariate analysis only MTV was related to OS. No SUV variables showed an association with the prognosis. CONCLUSION Volume-based metabolic variables obtained with 18F-FDG PET/CT, unlike SUV based variables, were good predictors of both neoadjuvant chemotherapy response and prognosis.
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Affiliation(s)
- A M Garcia-Vicente
- Servicio de Medicina Nuclear, Hospital General Universitario de Ciudad Real, Ciudad Real, España.
| | - J Pérez-Beteta
- Instituto de Matemática Aplicada a la Ciencia y la Ingeniería, Universidad de Castilla-La Mancha, Ciudad Real, España
| | - M Amo-Salas
- Departamento de Matemáticas, Universidad de Castilla-La Mancha, Ciudad Real, España
| | - D Molina
- Instituto de Matemática Aplicada a la Ciencia y la Ingeniería, Universidad de Castilla-La Mancha, Ciudad Real, España
| | - G A Jimenez-Londoño
- Servicio de Medicina Nuclear, Hospital General Universitario de Ciudad Real, Ciudad Real, España
| | - A M Soriano-Castrejón
- Servicio de Medicina Nuclear, Hospital General Universitario de Ciudad Real, Ciudad Real, España
| | - F J Pena Pardo
- Servicio de Medicina Nuclear, Hospital General Universitario de Ciudad Real, Ciudad Real, España
| | - A Martínez-González
- Instituto de Matemática Aplicada a la Ciencia y la Ingeniería, Universidad de Castilla-La Mancha, Ciudad Real, España
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An YS, Kang DK, Jung Y, Kim TH. Volume-based metabolic parameter of breast cancer on preoperative 18F-FDG PET/CT could predict axillary lymph node metastasis. Medicine (Baltimore) 2017; 96:e8557. [PMID: 29137072 PMCID: PMC5690765 DOI: 10.1097/md.0000000000008557] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
The purpose of our study was to evaluate the association between metabolic parameters on FDG PET/CT and axillary lymph node metastasis (ALNM) in patients with invasive breast cancer.From January 2012 to December 2012, we analyzed 173 patients with invasive ductal carcinoma (IDC) who underwent both initial breast magnetic resonance imaging (MRI) and F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) examinations. All metabolic parameters were measured from the tumor volume segmented by a gradient-based method. Once the primary target lesion was segmented, maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were calculated automatically by the MIMvista software.Mean age of 173 patients was 49 years. Of 173 patients, 45 (26%) showed ALNM. On univariate analysis, larger tumor size (>2.2 cm; P = .002), presence of lymphovascular invasion (P < .001), higher SUVmax (>2.82; P = .038), higher SUVmean (>1.2; P = .027), higher MTV (>2.38; P < .001), and higher TLG (>3.98; P = .007) were associated with a higher probability of ALNM. On multivariate analysis, presence of lymphovascular invasion (adjusted odds ratio [OR], 11.053; 95% CI, 4.403-27.751; P < .001) and higher MTV (>2.38) (adjusted OR, 2.696; 95% CI, 1.079-6.739; P = .034) maintained independent significance in predicting ALNM. In subgroup analysis of T2/T3 breast cancer, lymphovascular invasion (adjusted OR, 20.976; 95% CI, 5.431-81.010; P < .001) and higher MTV (>2.38) (adjusted OR, 4.906; 95% CI, 1.616-14.896; P = .005) were independent predictors of ALNM. However in T1 breast cancer, lymphovascular invasion (adjusted OR, 16.096; 95% CI, 2.517-102.939; P = .003) and larger SUV mean (>1.2) (adjusted OR, 13.275; 95% CI, 1.233-142.908; P = .033) were independent predictors while MTV was not.MTV may be associated with ALNM in patients with invasive breast cancer, particularly T2 and T3 stages. In T1 breast cancer, SUVmean was associated with ALNM.
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Affiliation(s)
- Young-Sil An
- Department of Nuclear Medicine and Molecular Imaging
| | | | - Yongsik Jung
- Department of Surgery, Ajou University School of Medicine, Suwon, Gyeonggi, South Korea
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Caresia Aroztegui AP, García Vicente AM, Alvarez Ruiz S, Delgado Bolton RC, Orcajo Rincon J, Garcia Garzon JR, de Arcocha Torres M, Garcia-Velloso MJ. 18F-FDG PET/CT in breast cancer: Evidence-based recommendations in initial staging. Tumour Biol 2017; 39:1010428317728285. [PMID: 29025377 DOI: 10.1177/1010428317728285] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Current guidelines do not systematically recommend 18F-FDG PET/CT for breast cancer staging; and the recommendations and level of evidence supporting its use in different groups of patients vary among guidelines. This review summarizes the evidence about the role of 18F-FDG PET/CT in breast cancer staging and the therapeutic and prognostic impact accumulated in the last decade. Other related aspects, such as the association of metabolic information with biology and prognosis are considered and evidence-based recommendations for the use of 18F-FDG PET/CT in breast cancer staging are offered. We systematically searched MEDLINE for articles reporting studies with at least 30 patients related to clinical questions following the Problem/Population, Intervention, Comparison, and Outcome framework. We critically reviewed the selected articles and elaborated evidence tables structuring the summarized information into methodology, results, and limitations. The level of evidence and the grades of recommendation for the use of 18F-FDG PET/CT in different contexts are summarized. Level III evidence supports the use of 18F-FDG PET/CT for initial staging in patients with recently diagnosed breast cancer; the diagnostic and therapeutic impact of the 18F-FDG PET/CT findings is sufficient for a weak recommendation in this population. In patients with locally advanced breast cancer, level II evidence supports the use of 18F-FDG PET/CT for initial staging; the diagnostic and therapeutic impact of the 18F-FDG PET/CT findings is sufficient for a strong recommendation in this population. In patients with recently diagnosed breast cancer, the metabolic information from baseline 18F-FDG PET/CT is associated with tumor biology and has prognostic implications, supported by level II evidence. In conclusion, 18F-FDG PET/CT is not recommended for staging all patients with early breast cancer, although evidence of improved regional and systemic staging supports its use in locally advanced breast cancer. Baseline tumor glycolytic activity is associated with tumor biology and prognosis.
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Affiliation(s)
| | - Ana María García Vicente
- 2 Department of Nuclear Medicine, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain
| | - Soledad Alvarez Ruiz
- 3 Department of Nuclear Medicine, Hospital Universitario Miguel Servet, Zaragoza, Spain
| | - Roberto Carlos Delgado Bolton
- 4 Department of Diagnostic Imaging and Nuclear Medicine, Hospital San Pedro-Centro de Investigación Biomédica de La Rioja (CIBIR), Logroño, Spain
| | - Javier Orcajo Rincon
- 5 Department of Nuclear Medicine, Hospital General Universitario Gregorio Marañón, Madrid, Spain
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Prognostic Value of Volumetric Parameters on Staging and Posttreatment FDG PET/CT in Patients With Stage IV Non-Small Cell Lung Cancer. Clin Nucl Med 2016; 41:347-53. [PMID: 26825204 DOI: 10.1097/rlu.0000000000001126] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
PURPOSE This study aimed to evaluate the prognostic value of metabolic tumor burden as measured with metabolic tumor volume (MTV) and total lesion glycolysis (TLG), as well as SUVmax on initial staging and posttreatment F-FDG PET/CT in patients with stage IV non-small cell lung cancer (NSCLC). METHODS Sixty-three NSCLC patients with stage IV who underwent staging and posttreatment FDG PET/CT after completion of the first-line chemotherapy were retrospectively enrolled. SUVmax, MTV, and TLG of primary cancer and all metastatic lesions (lymph node and distant metastases) on both PET/CT images were measured and their association with progression-free survival (PFS) and overall survival (OS) analyzed. RESULTS Median PFS and OS in the patient population were 5.9 and 23.1 months, respectively. Among the PET/CT parameters, MTV and TLG of primary cancer lesions on initial PET/CT and MTV and TLG of metastatic lesions on posttreatment PET/CT were independent prognostic factors for both PFS and OS (P < 0.05). The median OS in patients who showed low values of those PET/CT parameters was more than 26.0 months, whereas patients with high values of those parameters had a median OS of less than 15.0 months. CONCLUSIONS Metabolic tumor burdens of primary cancer lesions on staging PET/CT and metastatic lesions on posttreatment PET/CT were independent prognostic factors in patients with stage IV NSCLC. Volume-based PET parameters could further stratify the prognosis of stage IV NSCLC patients.
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