Abstract
Background/Objectives
Ataxia telangiectasia (A‐T) is a multiorgan disorder with increased vulnerability to cancer. Despite this increased cancer risk, there are no widely accepted guidelines for cancer surveillance in people affected by A‐T. We aimed to understand the current international practice regarding cancer surveillance in A‐T and agreed‐upon approaches to develop cancer surveillance in A‐T.
Design/Methods
We used a consensus development method, the e‐Delphi technique, comprising three rounds. Round 1 consisted of a Delphi questionnaire and a survey that collected the details of respondents' professional background, experience, and current practice of cancer surveillance in A‐T. Rounds 2 and 3 were designed based on previous rounds and modified according to the comments made by the panellists. The pre‐specified consensus threshold was ≥75% agreement.
Results
Thirty‐five expert panellists from 13 countries completed the study. The survey indicated that the current practice of cancer surveillance varies widely between experts and centres'. Consensus was reached that evidence‐based guidelines are needed for cancer surveillance in people with A‐T, with separate recommendations for adults and children. Statements relating to the tests that should be included, the age for starting and stopping cancer surveillance and the optimal surveillance interval were also agreed upon, although in some areas, the consensus was that further research is needed.
Conclusion
The international expert consensus statement confirms the need for evidence‐based cancer surveillance guidelines in A‐T, highlights key features that the guidelines should include, and identifies areas of uncertainty in the expert community. This elucidates current knowledge gaps and will inform the design of future clinical trials.
Keywords: ataxia telangiectasia, cancer predisposition, cancer surveillance, guidelines, international survey, life‐limiting disease
Ataxia Telangiectasia (A‐T) is a multiorgan disorder with increased vulnerability to cancer. Despite this increased cancer risk, there are no widely accepted guidelines for cancer surveillance in people affected by A‐T. The international expert consensus statement developed in this study, confirms the need for evidence‐based cancer surveillance guidelines in A‐T, highlights key features that the guidelines should include, and identifies areas of uncertainty in the expert community.
1. INTRODUCTION
Ataxia telangiectasia (A‐T) is an autosomal recessive disorder characterised by cerebellar degeneration, immunodeficiency, respiratory disease, dilated small blood vessels, radiosensitivity, and cancer susceptibility. 1 , 2 , 3 A‐T is a complex disorder caused by mutations in the ATM (ataxia telangiectasia mutated) gene, which results in absent, non‐functioning or hypofunctioning ATM protein. 1 , 2 , 3 , 4 The ATM protein has roles in double‐stranded DNA repair and thus ATM variants lead to genomic instability with increased sensitivity to ionising radiation and elevated cancer risk (22%–24% cumulative incidence up to age 20 years). 1 , 2 , 3 , 4 People with classical A‐T have a more severe clinical phenotype due to either the complete absence of ATM protein or the production of mutant ATM protein with no kinase activity. 1 , 5 , 6 People with variant A‐T have some residual ATM function and consequently a milder clinical phenotype with later age of onset, a slower rate of disease progression and a lower risk of developing cancer in childhood. 1 , 5 , 6 , 7 Classical A‐T manifests in early childhood (usually by the age of 2 years) with a life expectancy of around 25 years. 5 , 6 , 8 Cancer and lung disease are the two leading causes of death. 8 , 9 Cancer in A‐T has been reported as early as 2 years and the median age of diagnosis of 12.5 years. 7 , 10
The Paediatric Cancer Working Group of the American Association for Cancer Research (AACR) recommends surveillance in cancer predisposition syndromes (CPS) with cancer risk above 5% (up to age 20 years), 11 but specific evidence‐based guidance on cancer surveillance for A‐T is lacking. 9 , 12 The AACR Childhood Cancer Predisposition workshop report states that ‘Evidence‐based standards for cancer screening do not exist for patients with A‐T, particularly in childhood’ and recommends consideration of ‘Annual physical exam, complete blood count, and complete metabolic profile including lactate dehydrogenase’ 4 (p2). Van et al. (2017) 13 provide broad guidance that ‘patients should be screened for malignancies periodically’ and that ‘Annual laboratory testing should at least include blood count and smear, immunoglobulin levels, M‐protein, and measurement of lactate dehydrogenase’, but the evidence base for this guidance is unclear. The guidance recommends that annual imaging surveillance be performed in adults (annual abdominal ultrasound and breast MRI over the age of 25 years) but does not include recommendations for imaging in children. 13
Recently, the guidelines for cancer surveillance in some CPS, for example in Li‐Fraumeni syndrome (LFS), have changed due to new evidence‐based research. 7 , 14 , 15 , 16 , 17 , 18 , 19 These guidelines include the recommendation for whole‐body imaging optimised for cancer detection, which is increasingly being used clinically for diagnosing and monitoring cancers and non‐cancer lesions. 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 Modern magnetic resonance imaging (MRI) systems allow whole‐body imaging with relatively short acquisition times and provide excellent soft‐tissue contrast for lesion detection. 24 , 27 , 31 Most importantly, MRI surveillance would not expose people with A‐T to the risks of ionising radiation. 24 , 27 , 31
It has been shown recently that MRI can have an important role in the assessment of the respiratory tract in paediatric A‐T patients, which is commonly affected by a large spectrum of respiratory disorders, as well as the abdominal cavity. 32
As a first step to designing a prospective clinical trial of cancer surveillance in people with A‐T, which will in turn lead to evidence‐based guidelines for cancer surveillance, we have undertaken an international survey of current practice and an e‐Delphi consensus‐finding exercise of clinical A‐T experts. The Delphi technique has been used in health research as a method that aims to achieve consensus on an important subject and to develop new concepts, especially when there is a lack of scientific evidence. 33 , 34 , 35 , 36 The theory behind this method assumes that the opinion generated in a group discussion is more valid than an individual opinion. 33 , 36 This work aims to find expert consensus regarding the need for evidence‐based guidelines for cancer surveillance in people with A‐T, to define the key features that should be included in the guidelines, and to identify areas of uncertainty that should be targeted by future research.
2. METHODS
2.1. The expert panel
We aimed to recruit a minimum of 15 experts for our e‐Delphi study, as previous research suggests that a sample of 12 experts can provide representative information. 34 , 35 Delphi panellists were recruited through the A‐T Clinical Research Network. An invitation email with the study description was sent to all members of this network. The first round questionnaire was sent to the members who expressed an interest in the study. All panellists were required to have 3 years post‐qualification experience in caring for people with A‐T and be currently employed in a clinical area related to A‐T.
2.2. Study design
The e‐Delphi study was conducted using the Joint Information Systems Committee (JISC) online surveys between October 2021 and April 2022. The number of e‐Delphi rounds was not pre‐specified. Panellists had 4 weeks to complete each survey round. Panellists were excluded from the next round if they did not complete the previous round. Panellists were informed that by completing each round, they were giving their consent to participate in the study. Information about panellists' specialisation and experience, and their current practice and guidelines regarding cancer surveillance in people with A‐T, was collected during the first e‐Delphi round.
In each e‐Delphi round, panellists were presented with either (1) a statement for which they were asked to indicate their level of agreement using a 7‐point Likert scale, (2) an agree/disagree question with an option to abstain or (3) a multiple choice question (MCQ) for which they were asked to indicate their preferred answer. Each statement or MCQ had an option to select either ‘do not feel able to answer’ or ‘other’ as an alternative response with a free‐text response box, allowing opinions to be provided that could be explored in subsequent rounds of the e‐Delphi. The statements and MCQs for the first round were developed by the research team following a literature review and were focused on the areas where the research team felt scientific evidence was lacking. Responses were analysed by three of the team members RN, BDP and RAD. The pre‐specified level of agreement for acceptance of a proposed statement was 75% of panellists, which is consistent with previous literature recommending this threshold. 33 , 34
Statements reaching the pre‐specified level of agreement were adopted into the final consensus statement unless panellists made an argument for improvement or clarification, in which case a revised version of the statement was put out to the panel in the next round.
Statements not reaching the pre‐specified level of agreement were revised by the study team according to the relevant free‐text responses and sent out for panel responses in the next round. The responses to the MCQs were used by the study team to propose new statements or revised MCQs with refinements made to the response options for review in the next round. The results of the previous round were provided to panellists where relevant.
3. RESULTS
3.1. Delphi panellists
Thirty‐five panellists from 13 countries agreed to participate (Figure 1). All panellists who completed the e‐Delphi Round 1 (30 panellists) provided details of professional background, experience and current practice relating to cancer surveillance in A‐T.
The majority of the panellists, who completed the survey and Round 1 of the e‐Delphi, were medical doctors (neurology, clinical genetics, haematology, oncology, immunology, paediatrics, respiratory medicine) and had worked with people with A‐T for ≥10 years (Table 1). Sixteen panellists (53%) were from a specialist clinic that provides care to people with A‐T and other similar disorders. Twenty‐four panellists (80%) reported caring for people with A‐T from the whole country where they are based.
TABLE 1.
Characteristics | e‐Delphi round 1 | e‐Delphi round 2 | e‐Delphi round 3 |
---|---|---|---|
(n = 30) | (n = 25) | (n = 24) | |
Professional background | |||
Medical | 28 (93%) | 23 (92%) | 22 (92%) |
Clinical scientist | 2 (7%) | 2 (8%) | 2 (8%) |
Years of working with people with A‐T | |||
3–4 years | 4 (13%) | 4 (16%) | 4 (17%) |
5–9 years | 5 (17%) | 4 (16%) | 4 (17%) |
10 or more years | 21 (70%) | 17 (68%) | 16 (67%) |
Age group of people with A‐T they work with | |||
Children | 11 (37%) | 8 (32%) | 7 (29%) |
Adult | 2 (7%) | 2 (8%) | 2 (8%) |
Both children and adult | 17 (57%) | 15 (60%) | 15 (63%) |
Note: Percentages shown are calculated relative to the number of experts participating in each round.
Fifteen of the 30 panellists who completed Round 1 reported conducting surveillance testing for cancer in people with A‐T (Table 2). Twenty‐seven (90%) and twenty‐four (80%) panellists mentioned that they do not have institutional and national guidelines regarding cancer surveillance in A‐T, respectively. When asked if they were aware of any guidelines, 12 panellists (40%) mentioned the UK A‐T Children Specialist Centre guidance 8 and Li‐Fraumeni cancer surveillance guidelines. 14 , 15 , 16 , 37 Twenty‐eight panellists (93%) reported that implementing evidence‐based guidelines for cancer surveillance in A‐T would help with the management of people with A‐T.
TABLE 2.
Surveillance strategy | |
---|---|
Complete blood count and tumour markers (6–12 months) | 67% (n = 10) |
Breast screening—women with A‐T | 13% (n = 2) |
Physical examination (4–6 months) | 33% (n = 5) |
Patient and parent education regards signs and symptoms of cancer | 7% (n = 1) |
Surveillance questionnaire when in clinic | 7% (n = 1) |
Abdominal ultrasound—MRI if abnormalities are detected in ultrasound | 27% (n = 4) |
Oncological consultation | 13% (n = 2) |
Three e‐Delphi rounds were required for the development of the final consensus statement. We obtained 30/35 response for Round 1 (85%), 25/30 for Round 2 (83%) and 24/25 for Round 3 (96%) (Figure 2).
Six questions were included in Round 1 (Data S1): one statement was accepted without change, one statement was resubmitted with minor language changes (based on panellists' comments) and four questions were modified and resubmitted in Round 2. These six questions were focused on topics in which the research team felt evidence was either absent or limited and were analysed as five main topics.
Ten statements were included in Round 2: seven were accepted unchanged and three were revised and resent in Round 3. Two statements were included in Round 3.
The consensus level improved from Round 1 to Round 3. In Round 1, consensus was reached in 2 (33%) out of 6 questions. In Round 2, consensus was reached in 7 (70%) out of 10 questions. In Round 3, consensus was reached in the 2 questions (100%) sent.
3.2. Areas of consensus and disagreement
3.2.1. The need for guidelines for cancer surveillance in A‐T
In Round 1, the statement ‘Evidence‐based guidelines for cancer surveillance in people with A‐T are required’ received strong approval (90% strongly agree/agree). However, the free‐text comments indicated that some panellists felt the word ‘required’ at the end referred to the cancer surveillance tests per se, and hence that testing was mandated, rather than a guideline. In Round 2, this statement was refined to ‘Evidence‐based guidelines are needed for cancer surveillance in people with A‐T’ and received complete approval (100% strongly agree / agree).
3.2.2. The need for specific guidelines based on age or type of A‐T
In round 1, the statement ‘Do you think that screening intervals would need to be different between children and adults with A‐T?’ did not achieve consensus (50% responded ‘Yes’, 20% responded ‘No’ and 30% responded ‘not able to answer this question’). The panellists who agreed with the statement mentioned that the types of tumours detected in A‐T can vary with age as well as the type of A‐T (classical or variant). The panellists who selected ‘No’ argued that cancer surveillance guidelines in A‐T would be useful for both age groups because the risk of developing cancer exists in both populations. Two statements were made based on these comments and were sent in the next round. In Round 2, the statement ‘Within these guidelines, separate recommendations should be developed for adults and children with A‐T’ received strong approval (88% agree). However, the statement ‘Within these guidelines, separate recommendations should be developed for people with classical and variant A‐T’ did not reach consensus (40% agree, 16% disagree, and 44% neither agree nor disagree). The panellists commented that there is no available evidence to support or not support this statement. Therefore, a new statement was developed ‘Further research is needed to understand whether separate guidelines for people with classical and variant A‐T are needed’ and sent in Round 3, which received complete approval (100% agree).
3.2.3. The tests for inclusion in the guidelines
In Round 1, the statement related to the non‐imaging tests that should be included in cancer surveillance guidelines did not reach full consensus. There was strong approval (90%) for the inclusion of complete blood count (CBC) and blood film. However, the other suggested blood tests (liver function tests, αFP, βHCG, LDH and Epstein–Barr virus serology) did not achieve consensus. Therefore, three statements were developed and sent in Round 2. The consensus was reached in these three statements: ‘Complete (full) blood count should be included in A‐T cancer surveillance guidelines, with blood film (smear) performed if abnormal white cell counts or cytopenias are detected’ (96% agree); ‘Further research is needed to allow the optimal selection of blood tests for inclusion in guidelines for cancer surveillance for people with A‐T’ (84% agree); ‘Both imaging and non‐imaging tests (such as blood tests) for cancer surveillance are likely to be included in the guidelines, but the recommendations need to be flexible to allow different diagnostic tests based on local availability’ (92% agree).
3.2.4. The age for starting and stopping cancer surveillance
In Round 1, the question ‘Do you think there should be an age at which cancer surveillance stops?’ achieved the consensus level, with 86% of the panellists indicating that there should be no age at which cancer surveillance stops. However, there was no consensus regarding the age at which cancer surveillance should start. The panellists also commented that the age for commencing cancer surveillance might be different for imaging and blood tests. Based on this, two MCQs were developed and included in Round 2. However, these MCQs regarding ‘age of commencing blood tests for cancer surveillance in A‐T’ and ‘age of commencing imaging tests for cancer surveillance in A‐T’ did not achieve consensus. Therefore, a new statement was developed for Round 3: ‘Further research is needed to understand the optimal age for commencing imaging and blood tests for cancer surveillance in A‐T’, which received strong approval (92% agree).
3.2.5. The optimal interval for performing cancer surveillance tests
In Round 1, the statements regarding the optimum interval for performing surveillance tests and whether it should be different between children and adults with A‐T did not achieve consensus. More than 75% of panellists selected the options of surveillance at least once every year, more precisely 55% selected an interval of 1 year and 21% selected an interval of 6 months. The comments made by the panellists suggested that blood tests could be performed more frequently than imaging tests and the frequency of surveillance testing may need to be different not only between adults and children but also for people with classic and variant A‐T. Therefore, two statements were developed ‘Surveillance testing for cancer in people with A‐T is likely to be required at least annually, but further research is needed to allow optimal selection of surveillance interval for children and adults, and for people with classical and variant A‐T’ and ‘The surveillance interval may vary depending on the test, with blood tests being performed more frequently than imaging tests, but further research is needed to establish the optimal interval for different types of cancer surveillance testing’, with both achieving consensus in Round 2 (88% and 96% agree, respectively).
3.3. The final consensus statement
Following the three e‐Delphi rounds, the final consensus statements are:
‘Evidence‐based guidelines are needed for cancer surveillance in people with A‐T.’
‘Within these guidelines, separate recommendations should be developed for adults and children with A‐T.’
‘Further research is needed to understand whether separate guidelines for people with classic and variant A‐T are needed.’
‘Both imaging and non‐imaging tests (such as blood tests) for cancer surveillance are likely to be included in the guidelines, but the recommendations need to be flexible to allow different diagnostic tests based on local availability.’
‘Complete (full) blood count should be included in A‐T cancer surveillance guidelines, with blood film (smear) performed if abnormal white cell counts or cytopenias are detected. Further research is needed to allow the optimal selection of blood tests for inclusion in guidelines for cancer surveillance for people with A‐T.’
‘Surveillance testing for cancer in people with A‐T is likely to be required at least annually, but further research is needed to allow optimal selection of surveillance interval for children and adults, and for people with classical and variant A‐T.’
‘The surveillance interval may vary depending on the test, with blood tests being performed more frequently than imaging tests, but further research is needed to establish the optimal interval for different types of cancer surveillance testing.’
‘Further research is needed to understand the optimal age for commencing imaging and blood tests for cancer surveillance in A‐T. There should be no set age at which cancer surveillance in A‐T stops.’
4. DISCUSSION
This study used the e‐Delphi method to form a consensus statement regarding cancer surveillance in A‐T globally. It should be highlighted that 35 panellists were recruited from six continents, which helped to understand the current practice for cancer surveillance in A‐T worldwide. Furthermore, the final statement produced not only provides some guidance about important points that should be considered for cancer surveillance in A‐T, but also identified knowledge gaps that need to be addressed by future research.
Most experts included in this study care for people with A‐T in the whole country in which they are based and more than half of the experts work in a specialist clinic that includes A‐T and other similar disorders, which shows the rarity of this disorder. Most panellists, including those who mentioned performing cancer surveillance tests, confirmed that there are no institutional or national guidelines for cancer detection in A‐T. Indeed, some panellists mentioned that the UK A‐T children Specialist Centre guidance discusses the increased cancer risk and recommendations on treatment of cancer, but does not include cancer surveillance guidelines as such. The only surveillance guidelines highlighted by some panellists were the breast screening guidelines for women with A‐T. 38 The LFS cancer surveillance protocol was also mentioned but its guidelines are not specific to A‐T.
There was a strong immediate agreement regarding the need for cancer surveillance guidelines in A‐T and the absence of an age limit for such a surveillance protocol. These results suggested that clinicians recognise the importance of cancer surveillance and the lack of evidence to date about how to best conduct this surveillance. In fact, the lack of guidelines for cancer surveillance in A‐T has been reported by several authors. 4 , 9 , 12 The panellists also agreed that these recommendations should be different for children and adults with A‐T. Although there is limited evidence to date, this consensus may have been driven by the fact that different types of cancer are more likely at different ages (Table 3).
TABLE 3.
A‐T subtype | Paediatric | Adult |
---|---|---|
Classical |
Lymphoid
Non‐lymphoid
|
Lymphoid
Non‐lymphoid
|
Variant | Lymphoid (Rare)
|
Lymphoid (Rare)
Non‐lymphoid
|
Another point that showed a strong agreement was the need to include imaging and non‐imaging tests in the cancer surveillance guidelines in A‐T, which follows the cancer surveillance recommendations of other CPS similar to A‐T. 4 , 18 , 19
This study demonstrated that due to the limited evidence, 4 there were points where an agreement was not obtained among the panellists, which highlights the need of gathering more evidence in the A‐T field. These points related to the frequency of the surveillance tests (imaging and non‐imaging), the age of commencing surveillance in A‐T, the optimal selection of blood tests and whether the cancer surveillance guidelines should be tailored according to the type of A‐T. The panellists agreed that specific research projects need to be conducted to obtain more data that could guide the development of guidelines for cancer surveillance in A‐T.
One strength of this study is the representative expert panel, which includes a large number of global experts with more than 10 years of experience in caring for people with A‐T. It is also important to highlight that the response rate was above 80% in all rounds. A limitation that should be considered is that the responses given by the experts could have been influenced by how they interpreted the statements. However, the experts were allowed to provide feedback on all the statements, which were then analysed and, in some cases, incorporated into the statements given in subsequent rounds. Nevertheless, and in the interest of keeping the e‐Delphi process manageable, it was not always possible to fully explore all the different recommendations made by the panellists in subsequent e‐Delphi rounds.
In conclusion, we provide an international expert consensus statement that strongly supports the development of evidence‐based cancer surveillance guidelines in A‐T, highlighting key features that the guidelines should include and identifying areas where there is uncertainty in the expert community. This provides the basis for the design of prospective clinical trials of cancer surveillance in A‐T, and points researchers towards knowledge gaps in the implementation of cancer surveillance in A‐T, which should be targeted by future research.
AUTHOR CONTRIBUTIONS
William Whitehouse: Conceptualization (equal); funding acquisition (equal); investigation (equal); writing – review and editing (equal). Sumit Jagani: Conceptualization (equal); funding acquisition (equal); writing – review and editing (equal). Susan Perlman: Investigation (equal); writing – review and editing (equal). Sophie Wilne: Conceptualization (equal); funding acquisition (equal); writing – review and editing (equal). Sam Nick Russo: Investigation (equal); writing – review and editing (equal). Robert Dineen: Conceptualization (equal); data curation (equal); formal analysis (equal); funding acquisition (equal); investigation (equal); methodology (equal); project administration (equal); software (equal); supervision (equal); validation (equal); visualization (equal); writing – review and editing (equal). Renata Neves: Data curation (equal); formal analysis (equal); investigation (equal); methodology (equal); project administration (equal); resources (equal); software (equal); validation (equal); visualization (equal); writing – original draft (lead); writing – review and editing (equal). Rafal Panek: Conceptualization (equal); funding acquisition (equal); writing – review and editing (equal). Claudio Pignata: Investigation (equal); writing – review and editing (equal). Pere Soler Palacin: Investigation (equal); writing – review and editing (equal). Oscar Porras: Investigation (equal); writing – review and editing (equal). Mohnish Suri: Conceptualization (equal); funding acquisition (equal); investigation (equal); writing – review and editing (equal). Micaela Pauni: Investigation (equal); writing – review and editing (equal). Marc Tischkowitz: Investigation (equal); writing – review and editing (equal). Mary Kay Koenig: Investigation (equal); writing – review and editing (equal). Mariela Betina Porto: Investigation (equal); writing – review and editing (equal). Lobna AbdelGawad Mansour: Investigation (equal); writing – review and editing (equal). Madhumita Dandapani: Conceptualization (equal); funding acquisition (equal); writing – review and editing (equal). Masatoshi Takagi: Investigation (equal); writing – review and editing (equal). Katherine Schon: Investigation (equal); writing – review and editing (equal). Jayesh Bhatt: Investigation (equal); writing – review and editing (equal). Gregor Dückers: Investigation (equal); writing – review and editing (equal). Emilia Cirillo: Funding acquisition (equal); writing – review and editing (equal). Elizabeth McDermott: Investigation (equal); writing – review and editing (equal). Donald Gilbert: Investigation (equal); writing – review and editing (equal). David Coman: Investigation (equal); writing – review and editing (equal). Cristine Glazebrook: Conceptualization (equal); funding acquisition (equal); writing – review and editing (equal). Claire Wainwright: Investigation (equal); writing – review and editing (equal). Caterina Caputi: Investigation (equal); writing – review and editing (equal). Blanca De Dios Perez: Data curation (equal); formal analysis (equal); investigation (equal); methodology (equal); project administration (equal); software (equal); validation (equal); visualization (equal); writing – review and editing (equal).
FUNDING INFORMATION
This study is funded by a grant from Action for A‐T (ref. 20NOT05). Renata Neves is supported by a Doctoral Fellowship awarded by the College of Radiographers (ref. DF021). This study is supported by the National Institute for Health Research (NIHR) Applied Research Collaboration East Midlands (ARC EM). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
Supporting information
ACKNOWLEDGEMENTS
We would like first to thank all the panellists who took part in this research, as well as our funder Action for A‐T who made this possible. Second, we would like to thank the people who work with A‐T Clinical Research Network for helping us with publicising this study to A‐T experts worldwide.
Neves R, De Dios Perez B, Panek R, et al. Development of cancer surveillance guidelines in ataxia telangiectasia: A Delphi‐based consensus survey of international experts. Cancer Med. 2023;12:14663‐14673. doi: 10.1002/cam4.6075
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
REFERENCES
- 1. Rothblum‐Oviatt C, Wright J, Lefton‐Greif MA, McGrath‐Morrow SA, Crawford TO , Lederman HM. Ataxia telangiectasia: a review. Orphanet J Rare Dis. 2016;11:11. doi: 10.1186/s13023-016-0543-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Amirifar P, Ranjouri MR, Lavin M, Abolhassani H, Yazdani R, Aghamohammadi A. Ataxia‐telangiectasia: epidemiology, pathogenesis, clinical phenotype, diagnosis, prognosis and management. Expert Rev Clin Immunol. 2020;15:1‐13. doi: 10.1080/1744666X.2020.1810570 [DOI] [PubMed] [Google Scholar]
- 3. Gatti R, Perlman S. Ataxia‐Telangiectasia. In: Adam MP, Ghayda MM, Pagon RA, et al., eds. GeneReviews®. University of Washington; 1993. http://www.ncbi.nlm.nih.gov/books/NBK26468/ [Google Scholar]
- 4. Walsh MF, Chang VY, Kohlmann WK, et al. Recommendations for childhood cancer screening and surveillance in DNA repair disorders. Clin Cancer Res off J Am Assoc Cancer Res. 2017;23(11):e23‐e31. doi: 10.1158/1078-0432.CCR-17-0465 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Taylor AMR, Lam Z, Last JI, Byrd PJ. Ataxia telangiectasia: more variation at clinical and cellular levels. Clin Genet. 2015;87(3):199‐208. doi: 10.1111/cge.12453 [DOI] [PubMed] [Google Scholar]
- 6. van Os NJH, van Deuren M, Weemaes CMR, et al. Classic ataxia‐telangiectasia: the phenotype of long‐term survivors. J Neurol. 2020;267(3):830‐837. doi: 10.1007/s00415-019-09641-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Reiman A, Srinivasan V, Barone G, et al. Lymphoid tumours and breast cancer in ataxia telangiectasia; substantial protective effect of residual ATM kinase activity against childhood tumours. Br J Cancer. 2011;105(4):586‐591. doi: 10.1038/bjc.2011.266 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. The Ataxia Telangiectasia Society . Ataxia‐Telangiectasia in Children: Guidance on Diagnosis and Clinical Care. 1st ed. The Ataxia‐Telangiectasia Sociey; 2014. [Google Scholar]
- 9. Petley E, Yule A, Alexander S, Ojha S, Whitehouse WP. The natural history of ataxia‐telangiectasia (A‐T): a systematic review. PloS One. 2022;17(3):e0264177. doi: 10.1371/journal.pone.0264177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Suarez F, Mahlaoui N, Canioni D, et al. Incidence, presentation, and prognosis of malignancies in ataxia‐telangiectasia: a report from the French national registry of primary immune deficiencies. J Clin Oncol off J Am Soc Clin Oncol. 2015;33(2):202‐208. doi: 10.1200/JCO.2014.56.5101 [DOI] [PubMed] [Google Scholar]
- 11. Brodeur GM, Nichols KE, Plon SE, Schiffman JD, Malkin D. Pediatric cancer predisposition and surveillance: an overview, and a tribute to Alfred G. Knudson Jr. Clin Cancer Res off J Am Assoc Cancer Res. 2017;23(11):e1‐e5. doi: 10.1158/1078-0432.CCR-17-0702 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Vijapura C, Saad Aldin E, Capizzano AA, Policeni B, Sato Y, Moritani T. Genetic syndromes associated with central nervous system tumors. Radiogr Rev Publ Radiol Soc N Am Inc. 2017;37(1):258‐280. doi: 10.1148/rg.2017160057 [DOI] [PubMed] [Google Scholar]
- 13. van Os NJH, Haaxma CA, van der Flier M, et al. Ataxia‐telangiectasia: recommendations for multidisciplinary treatment. Dev Med Child Neurol. 2017;59(7):680‐689. doi: 10.1111/dmcn.13424 [DOI] [PubMed] [Google Scholar]
- 14. Villani A, Shore A, Wasserman JD, et al. Biochemical and imaging surveillance in germline TP53 mutation carriers with Li‐Fraumeni syndrome: 1 year follow‐up of a prospective observational study. Lancet Oncol. 2016;17:1295‐1305. doi: 10.1016/S1470-2045(16)30249-2 [DOI] [PubMed] [Google Scholar]
- 15. Villani A, Tabori U, Schiffma J, et al. Biochemical and imaging surveillance in germline TP53 mutation carriers with Li‐Fraumeni syndrome: a prospective observational study. Lancet Oncol. 2011;12:559‐567. doi: 10.1016/S1470-2045(11)70119-X [DOI] [PubMed] [Google Scholar]
- 16. Ballinger ML, Mitchell G, Thomas DM. Surveillance recommendations for patients with germline TP53 mutations. Curr Opin Oncol. 2015;27(4):332‐337. doi: 10.1097/CCO.0000000000000200 [DOI] [PubMed] [Google Scholar]
- 17. Ballinger ML, Best A, Mai PL, et al. Baseline surveillance in Li‐Fraumeni syndrome using whole‐body magnetic resonance imaging. JAMA Oncol. 2017;3(12):1634‐1639. doi: 10.1001/jamaoncol.2017.1968 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Kratz CP, Achatz MI, Brugières L, et al. Cancer screening recommendations for individuals with Li‐Fraumeni syndrome. Clin Cancer Res off J Am Assoc Cancer Res. 2017;23(11):e38‐e45. doi: 10.1158/1078-0432.CCR-17-0408 [DOI] [PubMed] [Google Scholar]
- 19. Rednam SP. Updates on progress in cancer screening for children with hereditary cancer predisposition syndromes. Curr Opin Pediatr. 2019;31(1):41‐47. doi: 10.1097/MOP.0000000000000709 [DOI] [PubMed] [Google Scholar]
- 20. Kaut C, Westbrook C. MRI in Practice. Blackwell Science Ltd; 1993. [Google Scholar]
- 21. Morone M, Bali MA, Tunariu N, et al. Whole‐body MRI: current applications in oncology. AJR Am J Roentgenol. 2017;209(6):W336‐W349. doi: 10.2214/AJR.17.17984 [DOI] [PubMed] [Google Scholar]
- 22. McRobbie DW. MRI from Picture to Proton. Cambridge University Press; 2006. doi: 10.1017/CBO9780511545405 [DOI] [Google Scholar]
- 23. Greer MLC, Voss SD, States LJ. Pediatric cancer predisposition imaging: focus on whole‐body MRI. Clin Cancer Res off J Am Assoc Cancer Res. 2017;23(11):e6‐e13. doi: 10.1158/1078-0432.CCR-17-0515 [DOI] [PubMed] [Google Scholar]
- 24. Anupindi SA, Bedoya MA, Lindell RB, et al. Diagnostic performance of whole‐body MRI as a tool for cancer screening in children with genetic cancer‐predisposing conditions. AJR Am J Roentgenol. 2015;205(2):400‐408. doi: 10.2214/AJR.14.13663 [DOI] [PubMed] [Google Scholar]
- 25. Gottumukkala RV, Gee MS, Hampilos PJ, Greer MLC. Current and emerging roles of whole‐body MRI in evaluation of pediatric cancer patients. Radiogr Rev Publ Radiol Soc N Am Inc. 2019;39(2):516‐534. doi: 10.1148/rg.2019180130 [DOI] [PubMed] [Google Scholar]
- 26. Grasparil AD, Gottumukkala RV, Greer MLC, Gee MS. Whole‐body MRI surveillance of cancer predisposition syndromes: current Best practice guidelines for use, performance, and interpretation. AJR Am J Roentgenol. 2020;215(4):1002‐1011. doi: 10.2214/AJR.19.22399 [DOI] [PubMed] [Google Scholar]
- 27. Saade‐Lemus S, Degnan AJ, Acord MR, et al. Whole‐body magnetic resonance imaging of pediatric cancer predisposition syndromes: special considerations, challenges and perspective. Pediatr Radiol. 2019;49(11):1506‐1515. doi: 10.1007/s00247-019-04431-3 [DOI] [PubMed] [Google Scholar]
- 28. Canale S, Vilcot L, Ammari S, et al. Whole body MRI in paediatric oncology. Diagn Interv Imaging. 2014;95(6):541‐550. doi: 10.1016/j.diii.2013.11.002 [DOI] [PubMed] [Google Scholar]
- 29. Winfield JM, Miah AB, Strauss D, et al. Utility of multi‐parametric quantitative magnetic resonance imaging for characterization and radiotherapy response assessment in soft‐tissue sarcomas and correlation with histopathology. Front Oncol. 2019;9:280. doi: 10.3389/fonc.2019.00280 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Messiou C, Kaiser M. Whole‐body imaging in multiple myeloma. Magn Reson Imaging Clin N Am. 2018;26(4):509‐525. doi: 10.1016/j.mric.2018.06.006 [DOI] [PubMed] [Google Scholar]
- 31. Atkin KL, Ditchfield MR. The role of whole‐body MRI in pediatric oncology. J Pediatr Hematol Oncol. 2014;36(5):342‐352. doi: 10.1097/MPH.0000000000000031 [DOI] [PubMed] [Google Scholar]
- 32. Jończyk‐Potoczna K, Potoczny J, Szczawińska‐Popłonyk A. Imaging in children with ataxia‐telangiectasia‐the radiologist's approach. Front Pediatr. 2022;10:988645. doi: 10.3389/fped.2022.988645 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Keeney S, Hasson F, McKenna H. Consulting the oracle: ten lessons from using the Delphi technique in nursing research. J Adv Nurs. 2006;53(2):205‐212. doi: 10.1111/j.1365-2648.2006.03716.x [DOI] [PubMed] [Google Scholar]
- 34. Keeney S, Hasson F, McKenna H. The Delphi Technique in Nursing and Health Research | Wiley. 1st ed. John Wiley & Sons; 2011. [Google Scholar]
- 35. Vogel C, Zwolinsky S, Griffiths C, Hobbs M, Henderson E, Wilkins E. A Delphi study to build consensus on the definition and use of big data in obesity research. Int J Obes (Lond). 2019;43(12):2573‐2586. doi: 10.1038/s41366-018-0313-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Kenney LB, Ames B, Michaud AL, Williams DN, Manley PE, Ullrich NJ. The management of childhood cancer survivors at risk for stroke: a Delphi survey of regional experts. Pediatr Blood Cancer. 2018;65(12):e27394. doi: 10.1002/pbc.27394 [DOI] [PubMed] [Google Scholar]
- 37. Saya S, Killick E, Thomas S, et al. Baseline results from the UK SIGNIFY study: a whole‐body MRI screening study in TP53 mutation carriers and matched controls. Fam Cancer. 2017;16(3):433‐440. doi: 10.1007/s10689-017-9965-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Cancer Screening Programmes NHS . Protocols for the surveillance of women at higher risk of developing brast cancer. Published online July 4, 2013. Accessed September 23, 2022. https://atsociety.org.uk/wp‐content/uploads/2018/04/Protocols_for_surveillance_of_women_at_higher_risk_of_Breast‐Cancer.pdf
- 39. Micol R, Ben Slama L, Suarez F, et al. Morbidity and mortality from ataxia‐telangiectasia are associated with ATM genotype. J Allergy Clin Immunol. 2011;128(2):382‐389.e1. doi: 10.1016/j.jaci.2011.03.052 [DOI] [PubMed] [Google Scholar]
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This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.