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Zeng H, Zhong M, Chen Z, Tang S, Wen Z. A dosimetric comparison of non-coplanar volumetric modulated arc therapy and non-coplanar fixed field intensity modulated radiation therapy in hippocampus-avoidance whole-brain radiation therapy with a simultaneous integrated boost for brain metastases. Front Oncol 2025; 14:1428329. [PMID: 39917360 PMCID: PMC11799273 DOI: 10.3389/fonc.2024.1428329] [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: 05/06/2024] [Accepted: 12/23/2024] [Indexed: 02/09/2025] Open
Abstract
Objective The aim of this study was to investigate the dosimetric differences between non-coplanar volumetric modulated arc therapy (VMAT) and non-coplanar fixed-field intensity-modulated radiotherapy (IMRT) in hippocampus-avoidance whole-brain radiation therapy with a simultaneous integrated boost (HA-WBRT+SIB) for brain metastases using the Monaco treatment planning system (TPS). Method A total of 22 patients with brain metastases were retrospectively enrolled. Two radiotherapy treatment plans were designed for each patient: non-coplanar VMAT and non-coplanar fixed field IMRT. The dose distribution of targets and organs at risk (OAR), the number of monitor units (MUs), and pre-treatment plan verification were compared between the two plans while meeting the prescribed dose requirements of the target volume. Results There were no significant differences in V50, V55, Dmax, heterogeneity index (HI) and conformity index (CI) of target PGTV between the two plans (p>0.05). For PTV-brain-SIB, there was no significant difference in D98% between IMRT and VMAT (p=0.103). VMAT significantly improved the V30 of PTV-brain-SIB (p<0.001), decreased HI (p=0.003), and increased CI (p<0.001). There were no significant differences in the Dmax to the brain stem, left and right lens, optic chiasm, pituitary gland, and left and right hippocampus between the two plans (p>0.05). Compared with IMRT, VMAT significantly reduced the Dmax to the left and right eyes (p<0.001) and significantly increased the Dmax to the right inner ear (p=0.010). There was no significant difference in the Dmax to the left inner ear between VMAT and IMRT (p=0.458). Compared with IMRT, VMAT significantly reduced the Dmax to the left optic nerve (p=0.006), but significantly increased the Dmax to the right optic nerve (p=0.001). There was no significant difference in the Dmax to the left and right hippocampus between VMAT and IMRT (p>0.05), but VMAT significantly increased the D100% (p<0.05) compared with IMRT. Compared with VMAT, IMRT significantly reduced the MU (p<0.001) but VMAT has a higher treatment efficiency than IMRT, with an average reduction of 41 seconds (294.1 ± 16.4 s for VMAT, 335.8 ± 34.9 s for IMRT, p<0.001). Under the conditions of 3%/2 mm, and 2%/2 mm, the gamma passing rate of the IMRT QA was improved compared to VMAT, with an average increase of 0.6%, p=0.013, and 1.7%, p<0.001, respectively. Conclusion Both non-coplanar VMAT and non-coplanar fixed field IMRT based on the Monaco TPS produce clinically acceptable results for HA-WBRT+SIB in patients with brain metastases. Compared with IMRT, VMAT has better dose distribution in the target volume and treatment efficiency, but IMRT can better protect the hippocampus and reduce the number of MUs.
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Affiliation(s)
- Huaqu Zeng
- Radiotherapy Center, Gaozhou People’s Hospital, Gaozhou, China
| | - MinZhi Zhong
- Department of Radiology, Guangzhou Red Cross Hospital, Guangzhou, China
| | - Zongyou Chen
- Radiotherapy Center, Gaozhou People’s Hospital, Gaozhou, China
| | - Shukui Tang
- Radiotherapy Center, Gaozhou People’s Hospital, Gaozhou, China
| | - Zunbei Wen
- Radiotherapy Center, Gaozhou People’s Hospital, Gaozhou, China
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Okada Y, Zama T, Itonaga T, Mikami R, Okubo M, Sugahara S, Nakai M, Abe K, Yoshimura M, Saito K. Association between PET-CT accumulation in the hypothalamic/pituitary regions and neuron-specific enolase/primary tumor in limited-stage small cell lung cancer: a case-controlled retrospective study. EJNMMI REPORTS 2024; 8:4. [PMID: 38748049 PMCID: PMC10962629 DOI: 10.1186/s41824-024-00190-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/06/2023] [Indexed: 05/19/2024]
Abstract
BACKGROUND Research on the relationship between neuron-specific enolase (NSE) levels and normal organs, particularly the central nervous system, in small cell lung cancer is limited. Therefore, this study aimed to investigate the relationship between positron emission tomography-computed tomography (PET-CT) accumulation at hypothalamic/pituitary regions, tumor activity, and NSE level in limited-stage small cell lung cancer. We retrospectively analyzed patients who were diagnosed with limited-stage small cell lung cancer at Tokyo Medical University Hospital between July 1, 2019, and May 31, 2023, and were treated with chemoradiotherapy or radiotherapy. Leukocytes, erythrocytes, hemoglobin, platelets, total protein, albumin, NSE, and carcinoembryonic antigen were measured in blood samples obtained before treatment initiation. The maximum standardized uptake value (SUVmax), volume, and total lesion glycolysis (TLG) of each hypothalamic /pituitary region, primary tumor, and lymph node metastases were extracted from PET-CT images. The total tumor volume (primary tumor volume plus lymph node metastases volume) and total TLG (primary tumor TLG plus lymph node metastases TLG) were calculated. RESULTS This study included 19 patients (mean age, 70.1 ± 8.8 years; 13 men and 6 women); the pathology in all patients was small cell lung cancer. Patients were classified into two groups according to the NSE reference value (16.3 ng/mL): six patients having NSE level below the reference value and 13 having NSE level above the reference value. The SUVmax in the hypothalamic/pituitary region was 2.95 in the NSE < 16.3 ng/mL group and 4.10 in the NSE > 16.3 ng/mL group, with a statistically significant difference (p = 0.03). The total tumor volume was 17.8 mL in the NSE < 16.3 ng/mL group and 98.9 mL in the NSE > 16.3 ng/mL group, with a statistically significant difference (p < 0.01). A correlation coefficient of r = 0.458 (p = 0.0486) was observed between SUVmax in the hypothalamus/pituitary and NSE level. A correlation coefficient of r = 0.647 (p < 0.01) was also observed between total tumor volume and NSE level. Finally, a correlation coefficient of r = 0.53 (p = 0.01) was observed between hypothalamic/pituitary TLG and primary tumor TLG. CONCLUSIONS The findings demonstrated a correlation between hypothalamic/pituitary activity and tumor activity, suggesting the prognostic significance of NSE.
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Affiliation(s)
- Yukinori Okada
- Department of Radiology, Tokyo Medical University, Tokyo, Japan.
| | - Tatsuhiko Zama
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | | | - Ryuji Mikami
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Mitsuru Okubo
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Shinji Sugahara
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Motoki Nakai
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Koichiro Abe
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Mana Yoshimura
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Kazuhiro Saito
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
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Zhang K, Zhang T, Guo Z, Zhao F, Li J, Li Y, Li Y, Wu X, Chen X, Zhang W, Pang Q, Wang P. Adding simultaneous integrated boost to whole brain radiation therapy improved intracranial tumour control and minimize radiation-induced brain injury risk for the treatment of brain metastases. BMC Cancer 2023; 23:1240. [PMID: 38104068 PMCID: PMC10724957 DOI: 10.1186/s12885-023-11739-9] [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: 07/27/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND Brain metastases (BMs) are the most frequent intracranial tumours associated with poor clinical outcomes. Radiotherapy is essential in the treatment of these tumours, although the optimal radiation strategy remains controversial. The present study aimed to assess whether whole brain radiation therapy with a simultaneous integrated boost (WBRT + SIB) provides any therapeutic benefit over WBRT alone. METHODS We included and retrospectively analysed 82 patients who received WBRT + SIB and 83 who received WBRT alone between January 2012 and June 2021. Intracranial progression-free survival (PFS), local tumour control (LTC), overall survival (OS), and toxicity were compared between the groups. RESULTS Compared to WBRT alone, WBRT + SIB improved intracranial LTC and PFS, especially in the lung cancer subgroup. Patients with high graded prognostic assessment score or well-controlled extracranial disease receiving WBRT + SIB had improved intracranial PFS and LTC. Moreover, WBRT + SIB also improved the long-term intracranial tumour control of small cell lung cancer patients. When evaluating toxicity, we found that WBRT + SIB might slightly increase the risk of radiation-induced brain injury, and that the risk increased with increasing dosage. However, low-dose WBRT + SIB had a tolerable radiation-induced brain injury risk, which was lower than that in the high-dose group, while it was comparable to that in the WBRT group. CONCLUSIONS WBRT + SIB can be an efficient therapeutic option for patients with BMs, and is associated with improved intracranial LTC and PFS. Furthermore, low-dose WBRT + SIB (biologically effective dose [BED] ≤ 56 Gy) was recommended, based on the acceptable risk of radiation-induced brain injury and satisfactory tumour control. TRIAL REGISTRATION Retrospectively registered.
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Affiliation(s)
- Kunning Zhang
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Tian Zhang
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Zhoubo Guo
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Fangdong Zhao
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Jiacheng Li
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Yanqi Li
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Yang Li
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Xiaoyue Wu
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Xi Chen
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Wencheng Zhang
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China
| | - Qingsong Pang
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China.
| | - Ping Wang
- Departments of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Huanhu West Road, Hexi District, Tianjin, China.
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Xu L, Zhang K, Han H, Sun H, Yuan Y, Wang J, Zhao L, Wang P. Low radiotherapy dose is suitable for brain metastases in SCLC compared with high dose. Front Oncol 2023; 13:1245506. [PMID: 37786509 PMCID: PMC10541991 DOI: 10.3389/fonc.2023.1245506] [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: 06/23/2023] [Accepted: 08/02/2023] [Indexed: 10/04/2023] Open
Abstract
Objective This study was designed to evaluate the suitable radiotherapy dose in SCLC patients with BM. Methods A retrospective analysis was performed among 121 patients on the prognosis of BM of SCLC who were admitted to our hospital from 2013 to 2023. They all received first line chemotherapy. 80 patients of them received TRT after chemotherapy. The Chi square method was used to compare the categorical data. Univariate survival analysis was estimated by Kaplan Meier method and the logrank was used to compare survival curves between groups. A multivariate prognostic analysis was made by the Cox proportional hazard model. The iOS and iLC of two groups of low dose and high dose were analyzed after propensity score matching (PSM). Results In all the patients, the median follow-up time was 18.6 months (range 6.30~85.7), the 2-year iOS and iLC rates were 15.4% and 70.3%, respectively, and cerebral necrosis occurred in 2 patients. In univariate analysis related to iOS, extracranial disease control (p=0.023), higher DS-GPA (≥2) (p=0.016), immunotherapy (p=0.049), low-dose(p=0.030), and WBRT+SIB (p=0.009) were significantly associated with an increase in survival rate. After PSM, the 2-year iOS of low dose (n=49) was significantly higher than that of high dose (n=49) (P=0.025), while the 2-year iLC was not significantly improved (P=0.267). In DS-GPA < 2 subgroup, the iOS of low dose group was significantly higher than that of high dose group (p=0.019). In the DS-GPA ≥ 2 subgroup, the 2-year iLC of the low dose group was significantly inferior than that of the high dose group (p=0.044). Conclusions The iLC was improved along with increasing radiotherapy dose, but high dose had inferior iOS compared to low dose, while there were not significantly improving iLC when radiotherapy BED >56Gy. But in patients with DS-GPA≥2 subgroup, high dose brought better iLC benefits.
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Affiliation(s)
- Liming Xu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Kunning Zhang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Haonan Han
- Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, College of Basic Medical Sciences, China Three Gorges University, Yichang, China
| | - Han Sun
- Department of Radiation Oncology, Cancer Center/National Clinical Research, Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Yajing Yuan
- Department of Anesthesia, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Jun Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- Department of Radiation Oncology, Tianjin Cancer Hospital Airport Hospital, Tianjin, China
| | - Lujun Zhao
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Ping Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
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Wang X, Chen J, Lei Z, Chen H, Zhang Y, Liu G, Li S, Zheng Z, Wang H. Propensity score-matched analysis comparing hippocampus-avoidance whole-brain radiotherapy plus simultaneous integrated boost with hippocampus‑avoidance whole-brain radiotherapy alone for multiple brain metastases-a retrospective study in multiple institutions. BMC Cancer 2023; 23:796. [PMID: 37620791 PMCID: PMC10464036 DOI: 10.1186/s12885-023-11286-3] [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: 10/21/2022] [Accepted: 08/09/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND The optimal treatment for multiple brain metastases has been recently controversially discussed.This study was aimed to explore the feasibility of Hippocampus-Avoidance Whole-Brain Radiotherapy plus a simultaneous integrated boost (HA-WBRT + SIB) in patients with multiple brain metastases and assess tumor control in comparison with Hippocampus-Avoidance Whole-Brain Radiotherapy (HA-WBRT) alone for brain metastases. METHODS In this study, 63 patients with multiple brain metastases (≥ 4 metastases) had undergone HA-WBRT + SIB between January 2016 and December 2020 in the observation group:HA-WBRT (30 Gy in 12 fractions, the maximum dose of the hippocampus ≤ 14 Gy) plus a simultaneous integrated boost (48 Gy in 12 fractions) for brain metastases.Overall Survival (OS), Median survival,intracranial control (IC = control within the entire brain), intracranial progression-free survival (iPFS) and adverse events were compared with the control group (a HA-WBRT retrospective cohort) by propensity score matching analysis. RESULTS After 1:1 propensity score matching,there were 56 patients in each group (the observation group, the control group). OS, median survival and iPFS were significantly longer in the observation group (18.4 vs. 10.9 months, P<0.001), (13.0 vs. 8.0 months, P<0.001), (13.9 vs.7.8 months, P<0.001). In comparison of 1-year-IC rates, the observation group also demonstrated higher than the control group (51.8% vs. 21.4%, P = 0.002), respectively. Seven hippocampal metastases were found in the control group (4/56,7.1%) and the observation group (3/56,5.4%) after HA-WBRT. The death rate of intracranial progression were 23.2% in the observation group and 37.5% in the control group.All adverse events were not significant difference between the two groups (P>0.05). CONCLUSIONS HA-WBRT + SIB resulted in better OS,median survival, IC, iPFS, an acceptable risk of radiation response, and a potential way of declining neurocognitive adverse events, which may be a better treatment for patients with multiple brain metastases.
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Affiliation(s)
- Xiaoliang Wang
- Department of Radiotherapy, The Third Hospital of Zhangzhou, Zhangzhou Fujian, 363005, China.
| | - Jinping Chen
- Department of Radiation Oncology, Army 73rd Group Military Hospital, Xiamen Fujian, 361003, China
| | - Zhanquan Lei
- Department of Radiation Oncology, FuJian Children's Hospital, Fuzhou Fujian, 350100, China
| | - Haihong Chen
- Information Department, Army 73rd Group Military Hospital, Xiamen Fujian, 361003, China
| | - Yufang Zhang
- Department of Radiation Oncology, XiaMen ChangGung Hospital, Xiamen Fujian, 361028, China
| | - Gang Liu
- Medical Examination Center, Army 73rd Group Military Hospital, Xiamen Fujian, 361003, China
| | - Shaomin Li
- Department of Radiation Oncology, XiaMen ChangGung Hospital, Xiamen Fujian, 361028, China
| | - Zhenhua Zheng
- Department of Radiation Oncology, XiaMen ChangGung Hospital, Xiamen Fujian, 361028, China
| | - Hui Wang
- Department of Radiation Oncology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, 361003, Fujian, China
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Ma J, Meng C, Tian J, Ren K, Jia H, Yan M, Xu L, Zhao L. The Impact of Chemosensitivity on the Outcome of Brain Metastases in Small-Cell Lung Cancer: A Retrospective Analysis. Curr Oncol 2022; 29:7979-7986. [PMID: 36290908 PMCID: PMC9600390 DOI: 10.3390/curroncol29100631] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/16/2022] [Accepted: 10/18/2022] [Indexed: 01/13/2023] Open
Abstract
PURPOSE The purpose of this study was to investigate the prognostic differences between patients with small-cell lung cancer (SCLC) with different chemosensitivity to first-line chemotherapy who developed brain metastasis (BM) as the first site of progression. METHODS Patients with a BM after first-line treatment in the Tianjin Cancer Hospital were retrospectively analyzed. According to the time-free interval (TFI) between the completion of first-line chemotherapy and the onset of the BM, the patients were divided into the chemo-sensitive group (TFI ≥ 90 days, n = 145) and the chemo-resistant group (TFI < 90 days, n = 97). The survival time, which was calculated from the diagnosis of the BM, was analyzed after the onset of brain metastasis (BM-OS). Survival curves were plotted using the Kaplan-Meier method, and differences between groups were compared using the log-rank test. RESULTS In total, the median BM-OS was 8.4 months. The median BM-OS in the chemo-sensitive group was 8.8 months, and it was 8.0 months in the chemo-resistant group (p = 0.538). In patients without extracranial progression (n = 193), the median BM-OSes in the chemo-sensitive and chemo-resistant groups were 9.4 months and 9.7 months, respectively (p = 0.947). In patients with extracranial progression (n = 49), the median BM-OSes in the chemo-sensitive and chemo-resistant groups were 5.4 months and 4.2 months, respectively (p = 0.161). Conclusions: After the development of a BM as the first site of progression following chemotherapy in patients with SCLC, the prognosis of chemo-sensitive patients was not necessarily superior to chemo-resistant patients, especially in patients without extracranial progression.
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Affiliation(s)
| | | | | | | | | | | | | | - Lujun Zhao
- Correspondence: ; Tel.: +86-022-23340123
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Chawla S, Tewarie IA, Zhang QO, Hulsbergen AFC, Mekary RA, Broekman MLD. The effect of smoking on survival in lung carcinoma patients with brain metastasis: a systematic review and meta-analysis. Neurosurg Rev 2022; 45:3055-3066. [PMID: 35831518 PMCID: PMC9492581 DOI: 10.1007/s10143-022-01832-1] [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: 03/01/2022] [Revised: 06/15/2022] [Accepted: 07/04/2022] [Indexed: 02/03/2023]
Abstract
The effects of smoking on survival in BM patients have yet to be reviewed and meta-analysed. However, previous studies have shown that smokers had a greater risk of dying from lung cancer compared to non-smokers. This meta-analysis, therefore, aimed to analyse the effects of cigarette smoking on overall survival (OS) and progression-free survival (PFS) in lung cancer BM patients. PubMed, Embase, Web of Science, Cochrane and Google Scholar were searched for comparative studies regarding the effects of smoking on incidence and survival in brain metastases patients up to December 2020. Three independent reviewers extracted overall survival (OS) and progression-free survival data (PFS). Random-effects models were used to pool multivariate-adjusted hazard ratios (HR). Out of 1890 studies, fifteen studies with a total of 2915 patients met our inclusion criteria. Amongst lung carcinoma BM patients, those who were smokers (ever or yes) had a worse overall survival (HR: 1.34, 95% CI 1.13, 1.60, I2: 72.1%, p-heterogeneity < 0.001) than those who were non-smokers (never or no). A subgroup analysis showed the association to remain significant in the ever/never subgroup (HR: 1.34, 95% CI 1.11, 1.63) but not in the yes/no smoking subgroup (HR: 1.30, 95% CI 0.44, 3.88). This difference between the two subgroups was not statistically significant (p = 0.91). Amongst lung carcinoma BM patients, smoking was associated with a worse OS and PFS. Future studies examining BMs should report survival data stratified by uniform smoking status definitions.
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Affiliation(s)
- Shreya Chawla
- Faculty of Life Sciences and Medicine, King’s College London, London, WC2R 2LS UK ,Computational Neuroscience Outcomes Center (CNOC), Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115 USA
| | - Ishaan A. Tewarie
- Computational Neuroscience Outcomes Center (CNOC), Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115 USA ,Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Zuid-Holland The Netherlands ,Department of Neurosurgery, Haaglanden Medical Center, Lijnbaan 32, 2512VA The Hague, Zuid-Holland The Netherlands
| | - Qingwei O. Zhang
- Faculty of Medicine, Imperial College London, London, SW7 2AZ UK
| | - Alexander F. C. Hulsbergen
- Computational Neuroscience Outcomes Center (CNOC), Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115 USA ,Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Zuid-Holland The Netherlands ,Department of Neurosurgery, Haaglanden Medical Center, Lijnbaan 32, 2512VA The Hague, Zuid-Holland The Netherlands
| | - Rania A. Mekary
- Computational Neuroscience Outcomes Center (CNOC), Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115 USA ,Department of Pharmaceutical Business and Administrative Sciences, School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences (MCPHS) University, 179 Longwood Avenue, Boston, MA 02115 USA
| | - Marike L. D. Broekman
- Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, Zuid-Holland The Netherlands ,Department of Neurosurgery, Haaglanden Medical Center, Lijnbaan 32, 2512VA The Hague, Zuid-Holland The Netherlands ,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114 USA
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Li H, Li W, Qi C, Zhou L, Wen F, Qu Y, Yu H. Optimizing Whole Brain Radiotherapy Treatment and Dose for Patients With Brain Metastases From Small Cell Lung Cancer. Front Oncol 2021; 11:726613. [PMID: 34760692 PMCID: PMC8573246 DOI: 10.3389/fonc.2021.726613] [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: 06/17/2021] [Accepted: 10/06/2021] [Indexed: 11/17/2022] Open
Abstract
Purpose This study aimed to evaluate the survival outcomes of whole brain radiotherapy (WBRT) compared to whole brain radiotherapy plus local radiation boost (WBRT + boost), and further identify whether higher biologically effective dose (BED) of WBRT + boost translates into a survival benefit in small cell lung cancer (SCLC) patients with brain metastasis (BM). Methods SCLC patients with BM from January 1, 2012, to December 31, 2019, were retrospectively analyzed. Overall survival (OS) and intracranial progression-free survival (iPFS) were evaluated by the Kaplan–Meier method and compared by the log-rank test. Univariate and multivariate regression analyses of prognostic factors for OS were performed using Cox proportional hazards regression models. The cutoff value of BED was determined by the receiver operating characteristic (ROC) curve analysis. Results Among the 180 eligible patients, 82 received WBRT + boost and 98 received WBRT. Both OS and iPFS in the WBRT + boost group were significantly superior to those in the WBRT group (median OS: 20 vs. 14 months, p = 0.011; median iPFS: 16 vs. 10 months, p = 0.003). At a cutoff value of 58.35 Gy in the WBRT + boost group, 52 for the high-BED (>58.35 Gy) group, 30 for the low-BED (≤58.35 Gy) group. High BED was significantly associated with improved OS and iPFS compared with low BED in the WBRT + boost group (median OS: 23 vs. 17 months, p = 0.002; median iPFS: 17 vs. 10 months, p = 0.002). Conclusions Compared with WBRT alone, WBRT + boost improved OS and iPFS in SCLC patients with BM. High BED (>58.35 Gy) for WBRT + boost may be a reasonable consideration for SCLC patients with BM.
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Affiliation(s)
- Hanming Li
- School of Graduate, Dalian Medical University, Dalian, China
| | - Wang Li
- Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
| | - Chao Qi
- School of Graduate, Dalian Medical University, Dalian, China
| | - Lu Zhou
- Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
| | - Fengyun Wen
- Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
| | - Yanli Qu
- Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
| | - Hong Yu
- Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
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9
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Zhou C, Li S, Liu J, Chu Q, Miao L, Cai L, Cai X, Chen Y, Cui F, Dong Y, Dong W, Fang W, He Y, Li W, Li M, Liang W, Lin G, Lin J, Lin X, Liu H, Liu M, Mu X, Hu Y, Hu J, Jin Y, Li Z, Qin Y, Ren S, Sun G, Shen Y, Su C, Tang K, Wu L, Wang M, Wang H, Wang K, Wang Y, Wang P, Wang H, Wang Q, Wang Z, Xie X, Xie Z, Xu X, Xu F, Yang M, Yang B, Yi X, Ye X, Ye F, Yu Z, Yue D, Zhang B, Zhang J, Zhang J, Zhang X, Zhang W, Zhao W, Zhu B, Zhu Z, Zhong W, Bai C, Chen L, Han B, Hu C, Lu S, Li W, Song Y, Wang J, Zhou C, Zhou J, Zhou Y, Saito Y, Ichiki Y, Igai H, Watanabe S, Bravaccini S, Fiorelli A, Petrella F, Nakada T, Solli P, Tsoukalas N, Kataoka Y, Goto T, Berardi R, He J, Zhong N. International consensus on severe lung cancer-the first edition. Transl Lung Cancer Res 2021; 10:2633-2666. [PMID: 34295668 PMCID: PMC8264326 DOI: 10.21037/tlcr-21-467] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 06/17/2021] [Indexed: 02/05/2023]
Affiliation(s)
- Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jun Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Qian Chu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Liyun Miao
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Linbo Cai
- Department of Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Xiuyu Cai
- Department of General Internal Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yu Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Fei Cui
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yuchao Dong
- Department of Pulmonary and Critical Care Medicine, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Wen Dong
- Department of Oncology, Hainan Cancer Hospital, Haikou, China
| | - Wenfeng Fang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yong He
- Department of Respiratory Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Weifeng Li
- Department of Respiratory Medicine, General Hospital of Guangzhou Military Command of PLA, Guangzhou, China
| | - Min Li
- Department of Respiratory Medicine, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha, China
| | - Wenhua Liang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Gen Lin
- Department of Thoracic Oncology, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Jie Lin
- Department of Medical Oncology, the Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Hongbing Liu
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xinlin Mu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Yi Hu
- Department of Medical Oncology, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Jie Hu
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yang Jin
- Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziming Li
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Shengxiang Ren
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Gengyun Sun
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yihong Shen
- Department of Respiratory Disease, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Kejing Tang
- Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Institute of Pulmonary Diseases, Sun Yat-sen University, Guangzhou, China
| | - Lin Wu
- Thoracic Medicine Department II, Hunan Cancer Hospital, Changsha, China
| | - Mengzhao Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Huijuan Wang
- Department of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Kai Wang
- Department of Respiratory Medicine, Fourth Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Yuehong Wang
- Department of Respiratory Disease, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Ping Wang
- Department of Respiratory and Critical Care Medicine, the Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Hongmei Wang
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qi Wang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Zhijie Wang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xin Xu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Fei Xu
- Department of Respiratory Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Meng Yang
- Department of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
| | - Boyan Yang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.,Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangjun Yi
- Department of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaoqun Ye
- Department of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Feng Ye
- Department of Medical Oncology, The first affiliated hospital of Xiamen University, Xiamen, China
| | - Zongyang Yu
- Department of Pulmonary and Critical Care Medicine, The th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Dongsheng Yue
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Bicheng Zhang
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jian Zhang
- Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Jianqing Zhang
- Second Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiaoju Zhang
- Department of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Wei Zhang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wei Zhao
- Department of Pulmonary and Critical Care Medicine, The General Hospital of People's Liberation Army, Beijing, China
| | - Bo Zhu
- Institute of Cancer, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Wenzhao Zhong
- Guangdong Lung Cancer Institute, Guangdong General Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chunxue Bai
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Liangan Chen
- Department of Respiratory, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Baohui Han
- Department of Pulmonology, Shanghai Chest Hospital, Shanghai, China
| | - Chengping Hu
- Department of Pulmonary Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Shun Lu
- Department of Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Song
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing, China
| | - Jie Wang
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Caicun Zhou
- Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jianying Zhou
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Yanbin Zhou
- Department of Internal Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yuichi Saito
- Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan
| | - Yoshinobu Ichiki
- Department of General Thoracic Surgery, National Hospital Organization, Saitama Hospital, Wako, Japan
| | - Hitoshi Igai
- Department of General Thoracic Surgery, Japanese Red Cross Maebashi Hospital, Maebashi, Gunma, Japan
| | - Satoshi Watanabe
- Department of Respiratory Medicine and Infectious Diseases, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Sara Bravaccini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy
| | - Alfonso Fiorelli
- Thoracic Surgery Unit, Universitàdella Campania Luigi Vanvitelli, Naples, Italy
| | - Francesco Petrella
- Division of Thoracic Surgery, IRCCS European Institute of Oncology, Milan, Italy.,Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Takeo Nakada
- Division of Thoracic Surgery, Department of Surgery, the Jikei University School of Medicine, Tokyo, Japan
| | - Piergiorgio Solli
- Department of Cardio-Thoracic Surgery and Hearth & Lung Transplantation, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | | | - Yuki Kataoka
- Department of Internal Medicine, Kyoto Min-Iren Asukai Hospital, Kyoto, Japan
| | - Taichiro Goto
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Rossana Berardi
- Clinica Oncologica, Università Politecnica delle Marche, Azienda Ospedaliero-Universitaria Ospedali Riuniti Umberto I, GM Lancisi, G Salesi di Ancona, Italy
| | - Jianxing He
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
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10
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Yu J, Goh Y, Song KJ, Kwak J, Cho B, Kim SS, Lee S, Choi EK. Feasibility of automated planning for whole-brain radiation therapy using deep learning. J Appl Clin Med Phys 2021; 22:184-190. [PMID: 33340391 PMCID: PMC7856520 DOI: 10.1002/acm2.13130] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/27/2020] [Accepted: 11/28/2020] [Indexed: 11/10/2022] Open
Abstract
PURPOSE The purpose of this study was to develop automated planning for whole-brain radiation therapy (WBRT) using a U-net-based deep-learning model for predicting the multileaf collimator (MLC) shape bypassing the contouring processes. METHODS A dataset of 55 cases, including 40 training sets, five validation sets, and 10 test sets, was used to predict the static MLC shape. The digitally reconstructed radiograph (DRR) reconstructed from planning CT images as an input layer and the MLC shape as an output layer are connected one-to-one via the U-net modeling. The Dice similarity coefficient (DSC) was used as the loss function in the training and ninefold cross-validation. Dose-volume-histogram (DVH) curves were constructed for assessing the automatic MLC shaping performance. Deep-learning (DL) and manually optimized (MO) approaches were compared based on the DVH curves and dose distributions. RESULTS The ninefold cross-validation ensemble test results were consistent with DSC values of 94.6 ± 0.4 and 94.7 ± 0.9 in training and validation learnings, respectively. The dose coverages of 95% target volume were (98.0 ± 0.7)% and (98.3 ± 0.8)%, and the maximum doses for the lens as critical organ-at-risk were 2.9 Gy and 3.9 Gy for DL and MO, respectively. The DL technique shows the consistent results in terms of the DVH parameter except for MLC shaping prediction for dose saving of small organs such as lens. CONCLUSIONS Comparable with the MO plan result, the WBRT plan quality obtained using the DL approach is clinically acceptable. Moreover, the DL approach enables WBRT auto-planning without the time-consuming manual MLC shaping and target contouring.
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Affiliation(s)
- Jesang Yu
- Department of Radiation OncologyAsan Medical CenterSeoulRepublic of Korea
| | - Youngmoon Goh
- Department of Radiation OncologyAsan Medical CenterSeoulRepublic of Korea
| | - Kye Jin Song
- Department of Radiation OncologyAsan Medical CenterSeoulRepublic of Korea
| | - Jungwon Kwak
- Department of Radiation OncologyAsan Medical CenterSeoulRepublic of Korea
| | - Byungchul Cho
- Department of Radiation OncologyAsan Medical CenterSeoulRepublic of Korea
| | - Su San Kim
- Department of Radiation OncologyAsan Medical CenterSeoulRepublic of Korea
| | - Sang‐wook Lee
- Department of Radiation OncologyAsan Medical CenterSeoulRepublic of Korea
| | - Eun Kyung Choi
- Department of Radiation OncologyAsan Medical CenterSeoulRepublic of Korea
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11
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Ni M, Liu W, Jiang A, Wang Y, Sheng Y, Zeng H, Liu N, Li L, Qi Y, Wang Y, Yu J, Yuan S. Whole Brain Radiation Therapy Plus Focal Radiation Boost May Generate Better Survival Benefit for Brain Metastases From Non-small Cell Lung Cancer. Front Oncol 2020; 10:576700. [PMID: 33194690 PMCID: PMC7606935 DOI: 10.3389/fonc.2020.576700] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 09/28/2020] [Indexed: 12/25/2022] Open
Abstract
Background Owing to improved systemic therapies, the survival of patients with non-small cell lung cancer (NSCLC) was prolonged, and the risk of brain metastases was consequently increased. This study aims to compare different radiotherapy for brain metastases in patients with NSCLC. Materials and methods The patients with NSCLC who were treated with whole brain radiation therapy (WBRT) or stereotactic radiosurgery (SRS) for brain metastases at three medical centers between January 2012 and December 2017 were retrospectively analyzed. Results Of the 684 eligible patients, 217 received WBRT plus focal radiation boost (WBRT+boost), 324 received WBRT, and 143 received SRS. Patients with WBRT+boost lived longer than those with WBRT (median overall survival (OS), 22.2 vs 13.7 months, P < 0.001) or SRS (22.2 vs 17.3 months, P = 0.011). In subgroup analyses, the survival advantage of WBRT+boost was more obvious among patients with 1 to 3 brain metastases or who received targeted therapy than did SRS. From pair-wise comparisons of intracranial progression-free survival (iPFS), WBRT+boost was also superior to WBRT (12.9 vs 10.6 months, P = 0.028) and SRS (12.9 vs 9.1 months, P = 0.001). Conclusions Patients who were treated with WBRT+boost experienced significantly longer OS and iPFS than those with WBRT or SRS alone. WBRT+boost should be a preferred strategy for brain metastases in NSCLC patients.
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Affiliation(s)
- Meng Ni
- Department of Radiation Oncology, Qingdao University Medical College Affiliated Yantai Yuhuangding Hospital, Yantai, China
| | - Wenju Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Aijun Jiang
- Department of Radiation Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yong Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yanxing Sheng
- Department of Radiation Oncology, Liaocheng People's Hospital, Liaocheng, China
| | - Haiyan Zeng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Ning Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Li Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yiqiang Qi
- Department of Radiation Oncology, ZiBo Central Hospital, Zibo, China
| | - Yu Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shuanghu Yuan
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute-Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China
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12
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Afshar P, Mohammadi A, Tyrrell PN, Cheung P, Sigiuk A, Plataniotis KN, Nguyen ET, Oikonomou A. [Formula: see text]: deep learning-based radiomics for the time-to-event outcome prediction in lung cancer. Sci Rep 2020; 10:12366. [PMID: 32703973 PMCID: PMC7378058 DOI: 10.1038/s41598-020-69106-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 06/26/2020] [Indexed: 12/24/2022] Open
Abstract
Hand-crafted radiomics has been used for developing models in order to predict time-to-event clinical outcomes in patients with lung cancer. Hand-crafted features, however, are pre-defined and extracted without taking the desired target into account. Furthermore, accurate segmentation of the tumor is required for development of a reliable predictive model, which may be objective and a time-consuming task. To address these drawbacks, we propose a deep learning-based radiomics model for the time-to-event outcome prediction, referred to as DRTOP that takes raw images as inputs, and calculates the image-based risk of death or recurrence, for each patient. Our experiments on an in-house dataset of 132 lung cancer patients show that the obtained image-based risks are significant predictors of the time-to-event outcomes. Computed Tomography (CT)-based features are predictors of the overall survival (OS), with the hazard ratio (HR) of 1.35, distant control (DC), with HR of 1.06, and local control (LC), with HR of 2.66. The Positron Emission Tomography (PET)-based features are predictors of OS and recurrence free survival (RFS), with hazard ratios of 1.67 and 1.18, respectively. The concordance indices of [Formula: see text], [Formula: see text], and [Formula: see text] for predicting the OS, DC, and RFS show that the deep learning-based radiomics model is as accurate or better in predicting predefined clinical outcomes compared to hand-crafted radiomics, with concordance indices of [Formula: see text], [Formula: see text], and [Formula: see text], for predicting the OS, DC, and RFS, respectively. Deep learning-based radiomics has the potential to offer complimentary predictive information in the personalized management of lung cancer patients.
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Affiliation(s)
- Parnian Afshar
- Concordia Institute for Information Systems Engineering, Montreal, QC Canada
| | - Arash Mohammadi
- Concordia Institute for Information Systems Engineering, Montreal, QC Canada
| | - Pascal N. Tyrrell
- Department of Medical Imaging, University of Toronto, Toronto, Canada
- Department of Statistical Sciences, University of Toronto, Toronto, Canada
| | - Patrick Cheung
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Ahmed Sigiuk
- Department of Medical Imaging, University of Toronto, Toronto, Canada
- Department of Statistical Sciences, University of Toronto, Toronto, Canada
| | | | - Elsie T. Nguyen
- Cardiothoracic Imaging Division, Joint Department of Medical Imaging, Toronto General Hospital, Toronto, Canada
| | - Anastasia Oikonomou
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
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13
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Khan M, Arooj S, Li R, Tian Y, Zhang J, Lin J, Liang Y, Xu A, Zheng R, Liu M, Yuan Y. Tumor Primary Site and Histology Subtypes Role in Radiotherapeutic Management of Brain Metastases. Front Oncol 2020; 10:781. [PMID: 32733787 PMCID: PMC7358601 DOI: 10.3389/fonc.2020.00781] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 04/22/2020] [Indexed: 12/12/2022] Open
Abstract
Randomized controlled trials have failed to report any survival advantage for WBRT combined with SRS in the management of brain metastases, despite the enhanced local and distant control in comparison to each treatment alone. Literature review have revealed important role of primary histology of the tumor when dealing with brain metastases. NSCLC responds better to combined approach even when there was only single brain metastasis present while breast cancer has registered better survival with SRS alone probably due to better response of primary tumor to advancement in surgical and chemotherapeutic agents. Furthermore, mutation status (EGFR/ALK) in lung cancer and receptor status (ER/PR/HER2) in breast cancer also exhibit diversity in their response to radiotherapy. Radioresistant tumors like renal cell carcinoma and melanoma brain metastases have achieved better results when treated with SRS alone. Secondly, single brain metastasis may benefit from local and distant brain control achieved with combined treatment. These diverse outcomes suggest a primary histology-based analysis of the radiotherapy regimens (WBRT, SRS, or their combination) would more ideally establish the role of radiotherapy in the management of brain metastases. Molecularly targeted therapeutic and immunotherapeutic agents have revealed synergism with radiation therapy particularly SRS in treating cancer patients with brain metastases. Clinical updates in this regard have also been reviewed.
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Affiliation(s)
- Muhammad Khan
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.,Department of Oncology, First affiliated Hospital of Anhui Medical University, Hefei, China
| | - Sumbal Arooj
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.,Department of Oncology, First affiliated Hospital of Anhui Medical University, Hefei, China.,Department of Biochemistry, University of Sialkot, Sialkot, Pakistan
| | - Rong Li
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Yunhong Tian
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Jian Zhang
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Jie Lin
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Yingying Liang
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Anan Xu
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Ronghui Zheng
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
| | - Mengzhong Liu
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yawei Yuan
- Department of Radiation Oncology, State Key Laboratory of Respiratory Disease, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
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14
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Abstract
Brain metastases are associated with poor prognosis irrespective of the primary tumor they originate from. Current treatments for brain metastases are palliative, and patients with symptomatic brain metastasis have a one-year survival of <20%. Lung cancer, breast cancer, and melanoma have higher incidences of brain metastases compared with other types of cancers. However, it is not very clear why some cancers metastasize to the brain more frequently than others. Studies thus far suggest that brain-specific tropism of certain types of cancers is defined by a winning combination of the following factors: unique genetic subtypes of primary tumors or its subclones enabling detachment, dissemination, blood-brain barrier penetration, plus proliferation and survival in hypoxic low-glucose microenvironment; specific transcriptomic and epigenetic changes of colony-forming metastatic cells, allowing their outgrowth; favorable metastasis-permissive microenvironment of the brain created by interactions of cancer cells and cells in the brain through triggering inflammation, recruiting myeloid-derived suppressor cells, and promoting metabolic adaptation; immunosuppression resulting in the failure of adaptive immune response to recognize or kill cancer cells in the brain. Here, we briefly review recent advances in understanding brain metastasis organotropism and outline directions for future research.
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Affiliation(s)
- Arseniy E Yuzhalin
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Dihua Yu
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
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Zhuang QY, Li JL, Lin FF, Lin XJ, -lin H, -Wang Y, -Lin Y, Huang YX, Zhang XQ, Tang LR, Wu JX. High Biologically Effective Dose Radiotherapy for Brain Metastases May Improve Survival and Decrease Risk for Local Relapse Among Patients With Small-Cell Lung Cancer: A Propensity-Matching Analysis. Cancer Control 2020; 27:1073274820936287. [PMID: 32614270 PMCID: PMC7333507 DOI: 10.1177/1073274820936287] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 04/28/2020] [Accepted: 05/29/2020] [Indexed: 11/16/2022] Open
Abstract
To evaluate whether high biologically effective dose (BED) radiotherapy improves local control and survival outcomes for patients with brain metastases (BMs) from small-cell lung cancer (SCLC) and to determine possible prognostic factors. From January 1998 to June 2018, 250 patients with BM from SCLC were retrospectively analyzed. The Cutoff Finder program was used to classify patients by BED. Overall survival (OS) and BM progression-free survival (BM-PFS) were analyzed using the Kaplan-Meier method and log-rank test. A Cox regression model was used to calculate the hazard ratio and 95% CI for prognostic factors for OS among the study population and propensity score (PS)-matched patients. A BED of 47.4 was taken as the optimal cutoff value. Both OS and BM-PFS were significantly improved in the high-BED (>47.4 Gy) than in the low-BED (≤47.4 Gy) group (median OS: 17.5 months vs 9.5 months, P < .001, median BM-PFS: 14.4 months vs 8.3 months, P < .001). Biologically effective dose (P < .001), Eastern Cooperative Oncology Group performance status (P = .047), smoking (P = .005), and pleural effusion (P = .004) were independent prognostic factors for OS. Propensity score matching with a ratio of 1:2 resulted in 57 patients in the high-BED group and 106 patients in the low-BED group. In the PS-matched cohort, OS and BM-PFS were significantly prolonged in the high-BED group compared with the low-BED group (P < .001). Biologically effective dose >47.4 Gy improves survival among patients with BM from SCLC. Eastern Cooperative Oncology Group score, smoking, and pleural effusion independently affect OS of SCLC patients with BM.
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Affiliation(s)
- Qing-yang Zhuang
- Department of Radiation Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Jin-luan Li
- Department of Radiation Oncology, Xiamen Cancer Center, The First Affiliated Hospital, School of Medicine, Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, People’s Republic of China
| | - Fei-fei Lin
- Department of Radiation Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Xi-jin Lin
- Department of Radiation Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Huaqin -lin
- Department of Radiation Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Youjia -Wang
- Department of Radiation Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Yaobin -Lin
- Department of Radiation Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Yun-xia Huang
- Department of Radiation Oncology, Xiamen Cancer Center, The First Affiliated Hospital, School of Medicine, Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, People’s Republic of China
| | - Xue-qing Zhang
- Department of Radiation Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Li-rui Tang
- Department of Renal Cancer and Melanoma, The Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, People’s Republic of China
| | - Jun-xin Wu
- Department of Radiation Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
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Whole brain radiation therapy plus focal boost may be a suitable strategy for brain metastases in SCLC patients: a multi-center study. Radiat Oncol 2020; 15:70. [PMID: 32213185 PMCID: PMC7093941 DOI: 10.1186/s13014-020-01509-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 03/02/2020] [Indexed: 12/03/2022] Open
Abstract
Background The treatment for brain metastases in small cell lung cancer (SCLC) is still controversial. The purpose of this study was to compare different brain radiotherapy treatments on SCLC patients with brain metastases. Methods In this multi-center retrospective study, SCLC patients who had undergone whole brain radiation therapy (WBRT) or stereotactic radiosurgery (SRS) for brain metastases from January 2012 to December 2018 were retrospectively screened. Results A total of 263 eligible SCLC patients were included in this study, among whom, 73 were women and 190 were men. According to accepted brain radiotherapy, the remaining patients were divided into WBRT plus focal radiation boost (WBRT+boost), WBRT, and SRS groups. In pairwise comparisons of the overall survival (OS), WBRT+boost group led to longer survival than did WBRT both in all patients (17.9 vs 8.7 months; P < 0.001) and 140 matched patients (17.9 vs 11.7 months; P = 0.045). There were no significant differences in OS between WBRT+boost and SRS groups in all patients (17.9 vs 14.5 months; P = 0.432). Among 74 matched patients between WBRT+boost and SRS groups, however, patients who received WBRT+boost led to a longer survival than did SRS alone (21.8 vs 12.9 months; P = 0.040). In pairwise comparison of the intracranial progression-free survival time (iPFS), WBRT+boost group also showed survival advantages over WBRT (10.8 vs 6.5 months; P = 0.005) and SRS groups (10.8 vs 7.5 months; P = 0.032). Conclusion Due to the SCLC-derived multiple brain metastases and better survival time, focal radiation boost combined with adjuvant WBRT may be a preferred strategy for SCLC patients with brain metastases.
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Hsiao SC, Chen YH, Lo CC, Lin CI. A noteworthy treatment of metastatic small-cell lung cancer with afatinib, followed by subsequent development of rare metastatic lesions in the ascending and sigmoid colon. Cancer Rep (Hoboken) 2020; 3:e1243. [PMID: 32671978 DOI: 10.1002/cnr2.1243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 02/24/2020] [Accepted: 02/25/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Small-cell lung cancer (SCLC) represents a group of highly fatal diseases with a tendency toward fast growth, early metastasis, and easy development of chemotherapy resistance. In the past 30 years, few advances have been made in the systemic treatment of SCLC, and cisplatin/etoposide has remained the standard of care for limited-stage SCLC and, in combination with radiotherapy, extensive-stage SCLC. The preferred metastatic sites of SCLC include the brain, liver, adrenal glands, bone, and bone marrow. However, bowel metastasis caused by SCLC is extremely rarely proved in patients while they are still alive (although autopsy studies suggest that silent metastases to the bowel are more common), and the standard treatment for bowel metastasis has never been reported. The mean time between the identification of gastrointestinal metastasis and mortality in patients with lung cancer is 100.6 days, with a range of 21-145 days. CASE We report the case of a patient with extensive SCLC (including brain metastasis), in which exon 19 deletion of epidermal growth factor receptor (EGFR) was detected. She initially refused chemotherapy and cranial radiotherapy and instead only agreed to oral target therapy. The second-generation EGFR-tyrosine kinase inhibitor (TKI), afatinib, was administered to the patient, and partial remission, including smaller metastatic brain tumors, was noted. Even though the subsequent development of rare metastatic lesions in the ascending and sigmoid colon was proved by colonoscopic biopsies, the prolonged overall survival (400 days) without standard treatment was marked in this case. CONCLUSION The patient with extensive metastasis of SCLC did not receive standard systemic chemotherapy. Instead, she initially received second-generation EGFR-TKI afatinib alone and later on whole brain radiotherapy as well (3 weeks before she expired). The prolonged overall survival of 400 days was marked and is worthy of sharing and further investigation.
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Affiliation(s)
- Shih-Chuan Hsiao
- Division of Hematology and Oncology, Saint Martin De Porres Hospital, Chiayi City, Taiwan
| | - Yi-Hsien Chen
- Division of Pathology, Saint Martin De Porres Hospital, Chiayi City, Taiwan
| | - Ching-Chu Lo
- Division of Gastroenterology and Hepatology, Saint Martin De Porres Hospital, Chiayi City, Taiwan
| | - Ching-I Lin
- Division of Hematology and Oncology, Saint Martin De Porres Hospital, Chiayi City, Taiwan
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