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Galjart B, Höppener DJ, Aerts JGJV, Bangma CH, Verhoef C, Grünhagen DJ. Follow-up strategy and survival for five common cancers: A meta-analysis. Eur J Cancer 2022; 174:185-199. [PMID: 36037595 DOI: 10.1016/j.ejca.2022.07.025] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 07/19/2022] [Accepted: 07/21/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND This meta-analysis aimed to evaluate the effectiveness of intensive follow-up after curative intent treatment for five common solid tumours, in terms of survival and treatment of recurrences. METHODS A systematic literature search was conducted, identifying comparative studies on follow-up for colorectal, lung, breast, upper gastro-intestinal and prostate cancer. Outcomes of interest were overall survival (OS), cancer specific survival (CSS), and treatment of recurrences. Random effects meta-analyses were conducted, with particular focus on studies at low risk of bias. RESULTS Fourteen out of 63 studies were considered to be at low risk of bias (8 colorectal, 4 breast, 0 lung, 1 upper gastro-intestinal, 1 prostate). These studies showed no significant impact of intensive follow-up on OS (hazard ratio, 95% confidence interval) for colorectal (0.99; 0.92-1.06), breast 1.06 (0.92-1.23), upper gastro-intestinal (0.78; 0.51-1.19) and prostate cancer (1.00; 0.86-1.16). No impact on CSS (hazard ratio, 95% confidence interval) was found for colorectal cancer (0.94; 0.77-1.16). CSS was not reported for other cancer types. Intensive follow-up increased the rate of curative treatment (relative risk; 95% confidence interval) for colorectal cancer recurrences (1.30; 1.05-1.61), but not for upper gastro-intestinal cancer recurrences (0.92; 0.47-1.81). For the other cancer types, no data on treatment of recurrences was available in low risk studies. CONCLUSION For colorectal and breast cancer, high quality studies do not suggest an impact of intensive follow-up strategies on survival. Colorectal cancer recurrences are more often treated locally after intensive follow-up. For other cancer types evaluated, limited high quality research on follow-up is available.
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Affiliation(s)
- Boris Galjart
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Diederik J Höppener
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Joachim G J V Aerts
- Department of Pulmonology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Christiaan H Bangma
- Department of Urology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Cornelis Verhoef
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Dirk J Grünhagen
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
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Stirling RG, Chau C, Shareh A, Zalcberg J, Fischer BM. Effect of Follow-Up Surveillance After Curative-Intent Treatment of NSCLC on Detection of New and Recurrent Disease, Retreatment, and Survival: A Systematic Review and Meta-Analysis. J Thorac Oncol 2021; 16:784-797. [DOI: 10.1016/j.jtho.2021.01.1622] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 12/22/2020] [Accepted: 01/23/2021] [Indexed: 12/21/2022]
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van Timmeren JE, van Elmpt W, Leijenaar RTH, Reymen B, Monshouwer R, Bussink J, Paelinck L, Bogaert E, De Wagter C, Elhaseen E, Lievens Y, Hansen O, Brink C, Lambin P. Longitudinal radiomics of cone-beam CT images from non-small cell lung cancer patients: Evaluation of the added prognostic value for overall survival and locoregional recurrence. Radiother Oncol 2019; 136:78-85. [PMID: 31015133 PMCID: PMC6598851 DOI: 10.1016/j.radonc.2019.03.032] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 03/07/2019] [Accepted: 03/29/2019] [Indexed: 11/23/2022]
Abstract
Longitudinal CBCT radiomics does not show added prognostic information for NSCLC. A CT-radiomics model could be validated in an external validation dataset. Dataset heterogeneity and small cohort sizes could cause poor validation performance.
Background and purpose The prognostic value of radiomics for non-small cell lung cancer (NSCLC) patients has been investigated for images acquired prior to treatment, but no prognostic model has been developed that includes the change of radiomic features during treatment. Therefore, the aim of this study was to investigate the potential added prognostic value of a longitudinal radiomics approach using cone-beam computed tomography (CBCT) for NSCLC patients. Materials and methods This retrospective study includes a training dataset of 141 stage I–IV NSCLC patients and three external validation datasets of 94, 61 and 41 patients, all treated with curative intended (chemo)radiotherapy. The change of radiomic features extracted from CBCT images was summarized as the slope of a linear regression. The CBCT slope-features and CT-extracted features were used as input for a Cox proportional hazards model. Moreover, prognostic performance of clinical parameters was investigated for overall survival and locoregional recurrence. Model performances were assessed using the Kaplan–Meier curves and c-index. Results The radiomics model contained only CT-derived features and reached a c-index of 0.63 for overall survival and could be validated on the first validation dataset. No model for locoregional recurrence could be developed that validated on the validation datasets. The clinical parameters model could not be validated for either overall survival or locoregional recurrence. Conclusion In this study we could not confirm our hypothesis that longitudinal CBCT-extracted radiomic features contribute to improved prognostic information. Moreover, performance of baseline radiomic features or clinical parameters was poor, probably affected by heterogeneity within and between datasets.
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Affiliation(s)
- Janna E van Timmeren
- The D-Lab: Decision Support for Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands.
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre (MUMC), Maastricht, the Netherlands
| | - Ralph T H Leijenaar
- The D-Lab: Decision Support for Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands
| | - Bart Reymen
- Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre (MUMC), Maastricht, the Netherlands
| | - René Monshouwer
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Johan Bussink
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Leen Paelinck
- Ghent University Hospital and Ghent University, Ghent, Belgium
| | - Evelien Bogaert
- Ghent University Hospital and Ghent University, Ghent, Belgium
| | | | - Elamin Elhaseen
- Ghent University Hospital and Ghent University, Ghent, Belgium
| | - Yolande Lievens
- Ghent University Hospital and Ghent University, Ghent, Belgium
| | - Olfred Hansen
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark; Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Carsten Brink
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark; Laboratory of Radiation Physics, Odense University Hospital, Odense, Denmark
| | - Philippe Lambin
- The D-Lab: Decision Support for Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands
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Mohan S, Beydoun N, Nasser E, Nguyen A, Shafiq J, Vinod S. Patterns of follow‐up care after curative radiotherapy ± chemotherapy for stage I–III non–small cell lung cancer. Asia Pac J Clin Oncol 2019; 15:172-180. [DOI: 10.1111/ajco.13127] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 12/30/2018] [Indexed: 01/23/2023]
Affiliation(s)
- Sharanya Mohan
- South Western Sydney Clinical SchoolUniversity of NSW NSW Australia
| | - Nadine Beydoun
- St George Hospital Cancer Care Centre Kogarah NSW Australia
| | - Elias Nasser
- Illawarra Cancer Care Centre Wollongong NSW Australia
| | - Andrew Nguyen
- South Western Sydney Clinical SchoolUniversity of NSW NSW Australia
| | - Jesmin Shafiq
- South Western Sydney Clinical SchoolUniversity of NSW NSW Australia
- Ingham Institute for Applied Medical Research Liverpool NSW Australia
| | - Shalini Vinod
- South Western Sydney Clinical SchoolUniversity of NSW NSW Australia
- Cancer Therapy CentreLiverpool Hospital Liverpool NSW Australia
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Cost Analysis of PET/CT Versus CT as Surveillance for Stage III Non-Small-Cell Lung Cancer After Definitive Radiation Therapy. Clin Lung Cancer 2018; 19:e517-e528. [PMID: 29685701 DOI: 10.1016/j.cllc.2018.03.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 02/27/2018] [Accepted: 03/13/2018] [Indexed: 11/23/2022]
Abstract
INTRODUCTION A previous study showed that use of positron emission tomography (PET)/computed tomography (CT) for surveillance after treatment of non-small-cell lung cancer (NSCLC) does not yield a detection or survival benefit over the use of chest CT. However, PET/CT remains a common method of follow-up imaging. Here we estimated and compared the costs of PET/CT versus CT for surveillance of patients with stage III NSCLC and identified patient and provider demographic characteristics associated with preference for use of PET/CT. PATIENTS AND METHODS We reviewed 178 patients with stage III NSCLC who had received ≥ 1 PET/CT scan within 6 months of completing radiotherapy (n = 89) or had received CT after radiotherapy (n = 89) from 2000 to 2011. Costs were measured according to Medicare payments converted from institutional billing records. Total and imaging costs were analyzed at 6, 12, 18, and 24 months after the end of treatment. Patient and provider demographic characteristics were also evaluated for potential associations with PET/CT use. RESULTS Total costs in the PET/CT group were higher during the first 18 months after treatment (P = .002 at 6 months, P = .019 at 12 months, and P = .018 at 18 months) but was marginally significant (P = .05) at 24 months. In univariate analysis of demographic variables, patients who lived in a state different from the treatment center might have been more likely to receive PET/CT (odds ratio [OR], 1.76; P = .051). In multivariate analysis, patients treated in 2007 to 2010 (OR, 29.9; P < .001) or 2003 to 2006 (OR, 11.6; P = .002) were more likely to receive PET/CT than patients treated in 1999 to 2002. In addition, radiation oncologists with > 10 years of experience were more likely to use PET/CT than those with less experience, although this result might be confounded by the small number of providers. CONCLUSION Use of PET/CT was associated with higher costs for 18 months after treatment, but the difference was at the borderline of statistical significance at 24 months.
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Hansen O, Knap MM, Khalil A, Nyhus CH, McCulloch T, Holm B, Brink C, Hoffmann L, Schytte T. A randomized phase II trial of concurrent chemoradiation with two doses of radiotherapy, 60 Gy and 66 Gy, concomitant with a fixed dose of oral vinorelbine in locally advanced NSCLC. Radiother Oncol 2017; 123:276-281. [DOI: 10.1016/j.radonc.2017.03.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 02/15/2017] [Accepted: 03/21/2017] [Indexed: 12/25/2022]
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Sheikhbahaei S, Mena E, Yanamadala A, Reddy S, Solnes LB, Wachsmann J, Subramaniam RM. The Value of FDG PET/CT in Treatment Response Assessment, Follow-Up, and Surveillance of Lung Cancer. AJR Am J Roentgenol 2017; 208:420-433. [PMID: 27726427 DOI: 10.2214/ajr.16.16532] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE The purpose of this article is to summarize the evidence regarding the role of FDG PET/CT in treatment response assessment and surveillance of lung cancer and to provide suggested best practices. CONCLUSION FDG PET/CT is a valuable imaging tool for assessing treatment response for patients with lung cancer, though evidence for its comparative effectiveness with chest CT is still evolving. FDG PET/CT is most useful when there is clinical suspicion or other evidence for disease recurrence or metastases. The sequencing, cost analysis, and comparative effectiveness of FDG PET/CT and conventional imaging modalities in the follow-up setting need to be investigated.
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Affiliation(s)
- Sara Sheikhbahaei
- 1 Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD
| | - Esther Mena
- 1 Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD
| | - Anusha Yanamadala
- 1 Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD
| | - Siddaling Reddy
- 1 Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD
| | - Lilja B Solnes
- 1 Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD
| | - Jason Wachsmann
- 2 Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
| | - Rathan M Subramaniam
- 1 Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD
- 2 Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390
- 3 Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX
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Simone CB, Houshmand S, Kalbasi A, Salavati A, Alavi A. PET-Based Thoracic Radiation Oncology. PET Clin 2016; 11:319-32. [DOI: 10.1016/j.cpet.2016.03.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Sheikhbahaei S, Mena E, Marcus C, Wray R, Taghipour M, Subramaniam RM. 18F-FDG PET/CT: Therapy Response Assessment Interpretation (Hopkins Criteria) and Survival Outcomes in Lung Cancer Patients. J Nucl Med 2016; 57:855-60. [DOI: 10.2967/jnumed.115.165480] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 01/07/2016] [Indexed: 12/22/2022] Open
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