1
|
Fatima N, Zaman A, Azam SM, Shahid W, uz Zaman1 M. Predictors for Disease-Free and Progression-Free Survivals in Metabolic Responders and Non-Responder on Follow-Up 18FDG PET/CT after Chemoradiation in Patients With Nasopharyngeal Cancer. Asian Pac J Cancer Prev 2024; 25:3859-3864. [PMID: 39611909 PMCID: PMC11996093 DOI: 10.31557/apjcp.2024.25.11.3859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 11/20/2024] [Indexed: 11/30/2024] Open
Abstract
OBJECTIVE To determine disease free survival (DFS) and progression free survival (PFS) and their predictors in patients with nasopharyngeal cancer (NPC) having achieved complete (CMR) and partial metabolic response (PMR) on post-chemoradiation (CRT) 18FDG PET/CT. MATERIALS AND METHODS Retro-prospective study conducted at PET/CT Section of JCIA accredited healthcare facility of Pakistan. Total 73 patients of NPC patients who had baseline and post-CRT 18FDG PET/CT were included and prospectively followed till predefined study end points of recurrence or disease progression or death from April-2016 till January 2024. Based on CMR on post-CRT 18FDG PET/CT, 45 patients labelled as responders while 28 with PMR as non-responders. Using logistic regression and ROC analysis, the predictors of recurrence and disease progression were analyzed in both groups. Kaplan Meier's survival plots were analyzed to measure DFS in responders and PFS in non-responders respectively. RESULTS Body mass index (BMI), SUVmax and Stage-IV disease were found significantly higher in non-responder group. DFS in responders was significantly higher than PFS in non-responder (60.157 month ± 8.047 Vs 8.145 months ± 1.851). DFS was seen in 84% of responder group with 16% recurrence (7/45). Baseline SUVmax >14.2 and primary tumor size (PTS) > 41 mm were found significant predictors of recurrence in responder group. In the non-responder group, the PFS was found in 54% patients while 46% patients (n=13/28; 2 expired) had disease progression. No significant predictor was found for PFS in the non-responder group. In DFS the mean survival was significantly higher in patients with SUVmax ≤14.2 versus >14.2 (Mean Survival 67.390 vs. 38.283 months; Logrank 9.899; p=0.0017*). However, near significant difference was observed in non-responder group in their PFS at SUVmax ≤11.9 vs. >11.9 (Mean Survival 10.00 vs. 7.05 months; Logrank=3.096; p=0.0798). CONCLUSION 18FDG PET/CT scan precisely stratifies the treated NPC patients into responders having longer DFS and non-responders having shorter PFS. Higher BMI, SUVmax of primary tumor and metastatic disease were found to have significant association in non-responders. In responders, PTS >41 mm and its SUVmax >14.2 were found significant predictors of recurrence. In non-responders, SUVmax >11.9 was found to have near significant association with disease progression.
Collapse
Affiliation(s)
- Nosheen Fatima
- Department of Radiology, Aga Khan University Hospital, Karachi, Pakistan.
| | - Areeba Zaman
- Department of Medicine, Sunny Downstate Medical Centre, NY, USA.
| | - Sara M Azam
- Department of Radiology, Aga Khan University Hospital, Karachi, Pakistan.
| | - Wajeeha Shahid
- The Wright Center for Graduate Medical Education, PA, USA.
| | - Maseeh uz Zaman1
- Department of Radiology, Aga Khan University Hospital, Karachi, Pakistan.
| |
Collapse
|
2
|
Yap WK, Hsu KH, Wang TH, Lin CH, Kang CJ, Huang SM, Lin HC, Hung TM, Chang KP, Tsai TY. The prognostic value of lymph node to primary tumor standardized uptake value ratio in cancer patients: a meta-analysis. Ann Nucl Med 2024; 38:607-618. [PMID: 38724805 DOI: 10.1007/s12149-024-01933-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 04/16/2024] [Indexed: 07/28/2024]
Abstract
OBJECTIVE The lymph node to primary tumor standardized uptake value ratio (NTR) is an innovative parameter derived from positron emission tomography/computed tomography (PET/CT) scans that captures the intricate relationship between primary tumors and associated lymph nodes. This meta-analysis aimed to investigate the prognostic value of NTR in cancer patients. METHODS A systematic search of PubMed, Cochrane, and Embase databases was conducted to identify studies investigating the association between NTR and survival outcomes in cancer patients. The pooled adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were calculated using a random-effects model. RESULTS Twelve studies comprising a total of 2037 patients were included in the meta-analysis. Elevated NTR was significantly associated with worse overall survival aHR (2.21, 95% CI 1.63 to 2.99), disease-free survival aHR (3.27, 95% CI 2.12 to 5.05), and distant metastasis-free survival aHR (2.07, 95% CI 1.55 to 2.78) in cancer patients. Subgroup analyses by cancer type showed consistent results across various malignancies, including head and neck squamous cell carcinoma, endometrial carcinoma, lung cancer, breast cancer, and nasopharyngeal carcinoma. CONCLUSIONS This meta-analysis provides evidence for a significant association between elevated NTR and worse survival outcomes in cancer patients. Elevated NTR may serve as a useful prognostic biomarker for cancer patients and could potentially be used to guide treatment decisions and monitor disease progression. Future studies should aim to validate these findings in larger and more diverse patient populations and investigate the underlying mechanisms for the observed association between NTR and survival outcomes.
Collapse
Affiliation(s)
- Wing-Keen Yap
- Proton and Radiation Therapy Center, Department of Radiation Oncology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University, Taoyuan, 333423, Taiwan
| | - Ken-Hao Hsu
- Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing St. Kwei-Shan, Taoyuan, 333423, Taiwan
| | - Ting-Hao Wang
- Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing St. Kwei-Shan, Taoyuan, 333423, Taiwan
| | - Chia-Hsin Lin
- Proton and Radiation Therapy Center, Department of Radiation Oncology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University, Taoyuan, 333423, Taiwan
| | - Chung-Jan Kang
- Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing St. Kwei-Shan, Taoyuan, 333423, Taiwan
| | - Shih-Ming Huang
- Department of Radiation Oncology, Keelung Chang Gung Memorial Hospital, Keelung, 204, Taiwan
| | - Huan-Chun Lin
- Department of Nuclear Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Tao-Yuan, Taiwan
| | - Tsung-Min Hung
- Proton and Radiation Therapy Center, Department of Radiation Oncology, Chang Gung Memorial Hospital-Linkou Medical Center, Chang Gung University, Taoyuan, 333423, Taiwan
| | - Kai-Ping Chang
- Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing St. Kwei-Shan, Taoyuan, 333423, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 333323, Taiwan
| | - Tsung-You Tsai
- Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, No. 5, Fu-Hsing St. Kwei-Shan, Taoyuan, 333423, Taiwan.
| |
Collapse
|
3
|
Demirel BB, Gülbahar Ateş S, Atasever Akkaş E, Göksel F, Uçmak G. Prognostic value of primary tumor and lymph node volumetric metabolic parameters at pre-treatment F-18 FDG PET/CT in nasopharyngeal carcinoma. Rev Esp Med Nucl Imagen Mol 2023; 42:367-373. [PMID: 37391092 DOI: 10.1016/j.remnie.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/26/2023] [Accepted: 05/28/2023] [Indexed: 07/02/2023]
Abstract
BACKGROUND The aim of this study was to evaluate the prognostic significance of volumetric metabolic parameters of pre-treatment PET/CT along with clinical characteristics in patients with non-metastatic nasopharyngeal carcinoma. MATERIAL AND METHODS Seventy-nine patients with nasopharyngeal carcinoma underwent F18- FDG PET/CT for pretreatment evaluation and included in this study. The patient features (patient age, tumor histopathology, T and N stage, size of primary tumor and the largest cervical lymph node) and PET parameters were analyzed: maximum, mean and peak standardized uptake values (SUVmax, SUVmean, SUVpeak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) for primary tumor and largest cervical lymph node. After treatment, patients were evaluated for disease progression and mortality. Survival analysis for progression-free survival (PFS) and over-all survival (OS) was performed with Kaplan-Meier method using PET findings and clinical characteristics. RESULTS The median follow-up duration was 29.7 months (range 3-125 months). Among clinical characteristics, no parameters had significance association for PFS. Primary tumor-MTV and cervical lymph node-MTV were independent prognostic factors for PFS (p = 0.025 and p = 0.004, respectively).Patients with primary tumor-MTV >19.4 and patients with lymph node-MTV>3.4 had shorter PFS. For OS, age and the size of the lymph node were independent prognostic factor (p = 0.031 and p = 0.029).Patients with age over 54 years and patients with lymph node size >1 cm were associated with decreased OS. CONCLUSION Primary tumor-MTV and lymph node-MTV on pre-treatment PET/CT are significant prognostic factors for long-term PFS in non-metastatic nasopharyngeal carcinoma. We consider that measuring MTV as volume-based metabolic parameter on pretreatment PET/CT may contribute decision of treatment intensity and individualized risk stratification and may improve long-term PFS. Additionally, age and the size of lymph node are independent prognostic factors for mortality.
Collapse
Affiliation(s)
- Bedriye Büşra Demirel
- Ankara Oncology Research and Training Hospital, Department of Nuclear Medicine, Ankara, Turkey.
| | - Seda Gülbahar Ateş
- Hitit University Erol Olçok Education and Research Hospital, Department of Nuclear Medicine, Ankara, Turkey
| | - Ebru Atasever Akkaş
- Ankara Oncology Research and Training Hospital, Department of Radiation Oncology, Ankara, Turkey
| | - Fatih Göksel
- Ankara Oncology Research and Training Hospital, Department of Radiation Oncology, Ankara, Turkey
| | - Gülin Uçmak
- Ankara Oncology Research and Training Hospital, Department of Nuclear Medicine, Ankara, Turkey
| |
Collapse
|
4
|
Fei Z, Xu T, Hong H, Xu Y, Chen J, Qiu X, Ding J, Huang C, Li L, Liu J, Chen C. PET/CT standardized uptake value and EGFR expression predicts treatment failure in nasopharyngeal carcinoma. Radiat Oncol 2023; 18:33. [PMID: 36814303 PMCID: PMC9945369 DOI: 10.1186/s13014-023-02231-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 02/15/2023] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVE This study inventively combines epidermal growth factor receptor (EGFR) expression of the primary lesion and standardized uptake value (SUV) of positron emission tomography and computed tomography (PET/CT) to predict the prognosis of nasopharyngeal carcinoma (NPC). This study aimed to evaluate the predictive efficacy of maximum standard uptake value (SUVmax) and EGFR for treatment failure in patients with NPC. METHODS This retrospective study reviewed the results of EGFR expression and pretreatment 18F-FDG PET/CT of 313 patients with NPC. Time-dependent receiver operator characteristics was used for analyzing results and selecting the optimal cutoff values. Cox regression was used to screen out multiple risk factors. Cumulative survival rate was calculated by Kaplan-Meier. RESULTS The selected cutoff value of SUVmax-T was 8.5. The patients were categorized into four groups according to EGFR expression and SUVmax-T. There were significant differences in the 3-year local recurrence-free survival (LRFS) (p = 0.0083), locoregional relapse-free survival (LRRFS) (p = 0.0077), distant metastasis-free survival (DMFS) (p = 0.013), and progression-free survival (PFS) (p = 0.0018) among the four groups. Patients in the EGFR-positive and SUVmax-T > 8.5 group had the worst survival, while patients in the EGFR-negative and SUVmax-T ≤ 8.5 group had the best prognosis. Subsequently, patients with only positive EGFR expression or high SUVmax-T were classified as the middle-risk group. There were also a significant difference in 3-year overall survival among the three risk groups (p = 0.034). SUVmax-T was associated with regional recurrence-free survival and LRRFS in multivariate analysis, whereas EGFR was an independent prognostic factor for LRRFS, DMFS, and PFS. CONCLUSION The combination of SUVmax-T and EGFR expression can refine prognosis and indicate clinical therapy.
Collapse
Affiliation(s)
- Zhaodong Fei
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Ting Xu
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Huiling Hong
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Yiying Xu
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Jiawei Chen
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Xiufang Qiu
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Jianming Ding
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Chaoxiong Huang
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Li Li
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Jing Liu
- grid.256112.30000 0004 1797 9307Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014 Fujian People’s Republic of China
| | - Chuanben Chen
- Department of Radiation Oncology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuma Road, Fuzhou, 350014, Fujian, People's Republic of China.
| |
Collapse
|
5
|
Intra- and peritumoral radiomics for predicting early recurrence in patients with high-grade serous ovarian cancer. Abdom Radiol (NY) 2023; 48:733-743. [PMID: 36445408 DOI: 10.1007/s00261-022-03717-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/14/2022] [Accepted: 10/14/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE To explore values of intra- and peritumoral CT-based radiomics for predicting recurrence in high-grade serous ovarian cancer (HGSOC) patients. METHODS This study enrolled 110 HGSOC patients from our hospital between Aug 2017 and Apr 2021. All patients underwent contrast-enhanced CT scans before treatment. The least absolute shrinkage and selection operator (LASSO) regression was used to select radiomics features from intra- and peritumoral areas. Radiomics signatures were built based on selected features from Intra-RS, Peri-RS, and in Com-RS. A nomogram was constructed by combining radiomics signatures and clinical parameters with predictive potential. Receiver operating characteristics (ROC), calibration, and decision curve analyses (DCA) curves were used to evaluate performance of the nomogram. RESULTS The intra- and peritumoral combined Com-RS showed effective ability in predicting recurrent HGSOC in the training (AUCs, Intra-RS vs. Peri-RS vs. Com-RS, 0.861 vs. 0.836 vs. 899) and validation (AUCs, Intra-RS vs. Peri-RS vs. Com-RS, 0.788 vs. 0.762 vs. 815) cohort. The Federation of International of FIGO stage, menstruation, and location were found to be strongly associated with tumor recurrence. The nomogram has the best predictive ability in the training (AUCs, Com-RS vs. clinical model vs. nomogram, 0.899 vs. 0.648 vs. 0.901) and validation (AUCs, Com-RS vs. clinical model vs. nomogram, 0.815 vs. 0.666 vs. 0.818) cohort. CONCLUSION Our findings suggested values of intra- and peritumoral-based radiomics for predicting recurrent HGSOC. The constructed nomogram may be of importance in clinical application.
Collapse
|
6
|
Qiu X, Wu H, Xu T, Xie S, You Z, Hu Y, Zheng Y, Liang Z, Huang C, Yi L, Li L, Liu J, Fei Z, Chen C. Reflecting on the utility of standardized uptake values on 18F-FDG PET in nasopharyngeal carcinoma. BMC Cancer 2022; 22:495. [PMID: 35513804 PMCID: PMC9069730 DOI: 10.1186/s12885-022-09626-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/29/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND To rethink the clinical significance of standardized uptake values (SUVs) of nasopharyngeal carcinoma (NPC) on 18F-fluorodeoxyglucose (18F-FDG) positron-emission tomography (PET). METHODS We retrospectively reviewed 369 NPC patients who underwent pretreatment 18F-FDG PET. The predictive value of the SUVmax of the primary tumor (SUVmax-t) and regional lymph nodes (SUVmax-n) was evaluated using probability density functions. Receiver operating characteristic curves were used to determine optimal cutoffs for the SUVmax-n/SUVmax-t ratio (NTR). Kaplan-Meier and Cox regression analyses were used to assess survival. RESULTS The optimal SUVmax-t and SUVmax-n cutoffs were 7.5 and 6.9, respectively. High SUVmax-t and SUVmax-n were related to local and regional recurrence, respectively. Patients with low SUVmax had better 3-year overall survival (OS). To avoid cross-sensitization of cutoff points, we stratified patients with high SUVmax into the low and high NTR groups. The 3-year distant metastasis-free survival (DMFS; 92.3 vs. 80.6%, P = 0.009), progression-free survival (PFS; 84.0 vs. 67.7%, P = 0.011), and OS (95.9 vs. 89.2%, P = 0.002) significantly differed between the high vs. low NTR groups for patients with high SUVmax. Multivariable analysis showed that NTR was an independent prognostic factor for DMFS (hazard ratio [HR]: 2.037, 95% CI: 1.039-3.992, P = 0.038), PFS (HR: 1.636, 95% CI: 1.021-2.621, P = 0.041), and OS (HR: 2.543, 95% CI: 1.214-5.325, P = 0.013). CONCLUSION High SUVmax was associated with NPC recurrence. NTR is a potential prognosticator for DMFS, suggesting that heterogeneity in the pretreatment 18F-FDG uptake between the primary tumor and lymph nodes is associated with high invasion and metastatic potential.
Collapse
Affiliation(s)
- Xiufang Qiu
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China
| | - Haixia Wu
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China
| | - Ting Xu
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China
| | - Shihan Xie
- Fujian Medical University, Fujian, People's Republic of China
| | - Ziqing You
- Fujian Medical University, Fujian, People's Republic of China
| | - Yixin Hu
- Fujian Medical University, Fujian, People's Republic of China
| | - Yinghong Zheng
- Fujian Medical University, Fujian, People's Republic of China
| | - Zewei Liang
- Fujian Medical University, Fujian, People's Republic of China
| | - Chaoxiong Huang
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China
- Fujian Medical University, Fujian, People's Republic of China
| | - Li Yi
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China
- Fujian Medical University, Fujian, People's Republic of China
| | - Li Li
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China
- Fujian Medical University, Fujian, People's Republic of China
| | - Jing Liu
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China
- Fujian Medical University, Fujian, People's Republic of China
| | - Zhaodong Fei
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China.
- Fujian Medical University, Fujian, People's Republic of China.
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, Fujian, People's Republic of China.
| | - Chuanben Chen
- College of Clinical Medicine for Oncology, Fujian Medical University, Fujian Cancer Hospital, Fujian, People's Republic of China.
- Fujian Medical University, Fujian, People's Republic of China.
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, 350014, Fujian, People's Republic of China.
| |
Collapse
|
7
|
|
8
|
Prognostic significance of metabolic tumour volume and maximum standard uptake value of fluor-18-fluorodeoxyglucose positron emission tomography with computed tomography in nasopharyngeal carcinoma. Contemp Oncol (Pozn) 2021; 25:153-159. [PMID: 34729034 PMCID: PMC8547178 DOI: 10.5114/wo.2021.109620] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 08/19/2021] [Indexed: 11/17/2022] Open
Abstract
Aim of the study To evaluate the prognostic role of markers of fluor-18-fluorodeoxyglucose positron emission tomography with computed tomography (18F-FDG-PET-CT), such as maximum standard uptake value (SUVmax) and metabolic tumour volume (MTV) measured at primary and nodal disease, and their clinical significance in terms of predicting treatment outcomes and survival. Material and methods Between January 2017 and January 2020, 20 case records of nasopharyngeal carcinoma patients who underwent 18F-FDG-PET-CT as part of staging workup before radiotherapy and as a part of response evaluation after radiotherapy were retrospectively reviewed. Results At a median follow-up of 34.7 months, the 2-year progression-free survival (PFS) was 70% and 2-year overall survival (OS) was 79%. Patients with a lower nodal SUVmax (SUVmax-N) had a better 2-year PFS (91% vs. 46%; p = 0.035) and 2-year OS (95% vs. 58%; p = 0.015). A high SUVmax-N of > 10.58 was a negative predictor of OS (95% confidence interval [CI]: 0.93-1; p = 0.003) as well as PFS (95% CI: 0.64-1; p = 0.017). Also, a high MTV > 25.8 cm3 was a negative predictor of PFS (95% CI: 0.58-0.98; p = 0.048). MTV was an independent predictor of PFS and OS on univariate analysis, whereas it was not significant in the Cox regression multivariate analysis. Conclusions High values of MTV and SUVmax-N can be considered as independent prognostic factors of OS and PFS in nasopharyngeal cancer patients treated with concurrent chemoradiation, highlighting the need for more intensified treatment.
Collapse
|
9
|
Chiang CL, Guo Q, Ng WT, Lin S, Ma TSW, Xu Z, Xiao Y, Li J, Lu T, Choi HCW, Chen W, Chau ESC, Luk PHY, Huang SH, O'Sullivan B, Pan J, Lee AWM. Prognostic Factors for Overall Survival in Nasopharyngeal Cancer and Implication for TNM Staging by UICC: A Systematic Review of the Literature. Front Oncol 2021; 11:703995. [PMID: 34540670 PMCID: PMC8445029 DOI: 10.3389/fonc.2021.703995] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 07/29/2021] [Indexed: 12/14/2022] Open
Abstract
This study aims to identify prognostic factors in nasopharyngeal carcinoma (NPC) to improve the current 8th edition TNM classification. A systematic review of the literature reported between 2013 and 2019 in PubMed, Embase, and Scopus was conducted. Studies were included if (1) original clinical studies, (2) ≥50 NPC patients, and (3) analyses on the association between prognostic factors and overall survival. The data elements of eligible studies were abstracted and analyzed. A level of evidence was synthesized for each suggested change to the TNM staging and prognostic factors. Of 5,595 studies screened, 108 studies (44 studies on anatomical criteria and 64 on non-anatomical factors) were selected. Proposed changes/factors with strong evidence included the upstaging paranasal sinus to T4, defining parotid lymph node as N3, upstaging N-category based on presence of lymph node necrosis, as well as the incorporation of non-TNM factors including EBV-DNA level, primary gross tumor volume (GTV), nodal GTV, neutrophil-lymphocyte ratio, lactate dehydrogenase, C-reactive protein/albumin ratio, platelet count, SUVmax of the primary tumor, and total lesion glycolysis. This systematic review provides a useful summary of suggestions and prognostic factors that potentially improve the current staging system. Further validation studies are warranted to confirm their significance.
Collapse
Affiliation(s)
- Chi Leung Chiang
- Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.,Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Qiaojuan Guo
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Wai Tong Ng
- Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.,Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Shaojun Lin
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Tiffany Sze Wai Ma
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Zhiyuan Xu
- Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Youping Xiao
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Jishi Li
- Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Tianzhu Lu
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Horace Cheuk Wai Choi
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Wenqi Chen
- Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Eric Sze Chun Chau
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Peter Ho Yin Luk
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Shao Hui Huang
- Department of Radiation Oncology, University of Toronto, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Brian O'Sullivan
- Department of Radiation Oncology, University of Toronto, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Jianji Pan
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Anne Wing Mui Lee
- Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.,Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| |
Collapse
|