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Record W3107431405 · doi:10.1002/acm2.13103

Three discipline collaborative radiation therapy (3DCRT) special debate: Peer review in radiation oncology is more effective today than 20 years ago

2020· article· en· W3107431405 on OpenAlexaboutno aff
Anis Ahmad, Lakshmi Santanam, Abhishek A. Solanki, Laura Padilla, Erina Vlashi, Patrizia Guerrieri, M.M. Dominello, Jay Burmeister, Michael C. Joiner

Bibliographic record

VenueJournal of Applied Clinical Medical Physics · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsnot available
FundersNational Cancer Institute
KeywordsRadiation oncologyMedical physicsRadiation therapyMedicineOncologyRadiology

Abstract

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Radiation Oncology is a highly multidisciplinary medical specialty, drawing significantly from three scientific disciplines — medicine, physics, and biology. As a result, discussion of controversies or changes in practice within radiation oncology must involve input from all three disciplines. For this reason, significant effort has been expended recently to foster collaborative multidisciplinary research in radiation oncology, with substantial demonstrated benefit.1-3 In light of these results, we endeavor here to adopt this “team-science” approach to the traditional debates featured in this journal. This article is part of a series of special debates entitled “Three Discipline Collaborative Radiation Therapy (3DCRT)” in which each debate team includes a radiation oncologist, medical physicist, and radiobiologist. We hope that this format will not only be engaging for the readership but will also foster further collaboration in the science and clinical practice of radiation oncology. Technologic evolution in everything from treatment planning to treatment delivery, patient immobilization to on-board imaging, complex simulation techniques to modified fractionation regimens, MR Linac to PET Linac, have changed our field exponentially in the past two decades. With these new technologies and abilities, a given radiotherapy patient’s treatment plan may be significantly more individualized and complex than it might have been 20 yr ago. The question we face today in this debate is whether peer review in radiation oncology, an accepted critical component of high-quality and safe delivery of care, is more effective today than it was 20 yr ago. In the face of these significant changes, variability in technique, improvements, and innovations, have we maintained appropriate focus? During peer review do we still ask the right questions? Have we EVER asked the right questions and do we know what those right questions are? How much time is enough time reviewing a patient case? Do we spend more time now than we did 20 yr ago? Do we adequately focus on clinical factors: contours, fractionation, type of delivery, treatment time, patient limitations? How do we allocate our time in peer review? What components are highest yield or at highest risk for error and how have these trends changed for the better or worse in the past two decades? Have we learned any lessons in the past 20 yr when it comes to peer review and if so are they even relevant given the rapid changes in technology that we see year after year within our field? We all strive to deliver safe and effective radiotherapy. Has our peer review process kept pace with the ever-changing technology or are our intentions overwhelmed by and lost on the complexity of a patient case in the year 2020? Let us debate! Arguing for the proposition will be Drs Lakshmi Santanam, Abhishek Solanki, and Anis Ahmad. Dr Santanam is an attending medical physicist at Memorial Sloan Kettering Cancer Center. Her primary interests include motion management and patient safety. She currently serves as Chair for the AAPM Working Group on RO-ILS and Vice-Chair of the Task Group on the Management of Respiratory Motion in Radiation Oncology. Dr Solanki is Associate Professor, Quality Medical Director, Director of Clinical Research, and Chief of Genitourinary Radiotherapy at Loyola University. He joined the faculty of Stritch School of Medicine in 2014 after completing medical school and residency in radiation oncology at the University of Chicago. His clinical practice focuses primarily on genitourinary malignancies and he led the development of a prostate high dose rate (HDR) brachytherapy program at Loyola. Dr Solanki has a particular interest in quality and safety in radiation oncology, leading a multidisciplinary team to develop a prospective peer review program in the Loyola network, and is a member of the Veterans Affairs Radiation Oncology Quality Surveillance program. Dr Ahmad received his MPhil and PhD from Aligarh Muslim University, India followed by a postdoctoral fellowship at the Medical University of South Carolina. He has authored more than 30 peer-reviewed scientific articles, and has been cited over 1200 times. He serves as Associate Editor for the Open Access Journal of Cancer & Oncology and review editor for Frontiers in Neurodegeneration. Dr Ahmad is now an Assistant Scientist with Sylvester Comprehensive Cancer Center at the University of Miami and his primary research focuses are radiation response of tumor and normal tissue to low and clinically relevant doses of radiation. Arguing against the proposition will be Drs Laura Padilla, Erina Vlashi, and Patrizia Guerrieri. Dr Padilla is a medical physicist in the Department of Radiation Oncology at Virginia Commonwealth University. She has an Assistant Professor appointment and is the Associate Program Director of the Medical Physics graduate program. Her research focuses on uses of surface imaging in radiation oncology, workflow and process improvements, and new educational strategies in medical physics. Dr Vlashi received her PhD in Chemistry from Purdue University, followed by postdoctoral training in cancer stem cell biology in the Department of Radiation Oncology at UCLA, where she is now an Associate Professor. Dr Vlashi’s current research interests include investigating the effect of radiation on cell metabolism to identify targetable vulnerabilities that can be exploited for improving the clinical benefits of radiation therapy. Dr Guerrieri is Assistant Professor with the Department of Radiation Oncology of Allegheny Health Network, Pittsburgh. She earned her medical degree from the Universita’ Cattolica del Sacro Cuore, Rome, Italy and her Master of Science in Radiation Sciences at Hahnemann University, Philadelphia. As Coordinator of the Italian Group of Brachytherapy she was on the committee for the compilation of the Italian Association of Radiation Oncology guidelines on breast cancer. She served as president of the organizing committee and scientific director of the Post-Graduate Teaching Course in Brachytherapy, Palermo 2006, and as scientific director and organizer of the National Interactive Course in Brachytherapy for Physicists and Radiation Oncologists, 2011. Peer review is a critical component of a radiation oncology quality management program.4, 5 A keyword search in Google for “Peer review in Radiation Oncology” now yields close to 31 400 results, compared to 6240 results from 1980 to 2000, which highlights the importance this topic has gained in the last 20 yr. With advances in automation, technology, remote review, and cloud computing, engaging multidisciplinary teams via teleconference to review patient contours, radiation treatment plans, and weekly chart rounds is more easily achievable now than in the past. Peer review is more efficient now than it was 20 yr ago when it comes to planning quality,6 reducing variation in practice,7 identifying cancer sites with a high proportion of changes,6 developing or improving treatment planning policies,7 and promoting multidisciplinary communication and engagement.8 Although historically there were limited quantitative and qualitative data regarding the impact of peer review, during the past 10 yr there have been numerous studies describing the impact of multidisciplinary chart rounds on radiation treatment plans. A systematic review of 11 491 patient cases in 11 studies demonstrated that 10.8% of radiation treatment plans required modification as a result of peer review, with the top 3 causes being target volume change (45%), dose prescription or written directive (24%), and nontarget volume delineation or normal tissue sparing (7.5%).9 Many institutions have shifted to peer review earlier in the radiation therapy workflow because of a better understanding of the most common errors identified during peer review. Historically, most institutions have used a weekly “chart rounds” approach, in which patients undergo simulation, treatment planning, and begin treatment. Typically thereafter, the target contours, normal structure contours, and treatment plans, are reviewed during the first week of treatment.10 However, many institutions have evolved their peer review program to conduct peer review before the start of radiotherapy and as early as possible in the treatment planning process.11-13 There are several benefits to this newer approach to peer review: From the physics perspective, pretreatment physics plan checks have been identified as one of the most effective individual quality control checks.19 Automating prescriptions, contour checks for normal contours, plan quality checks, transfer to EMR checks, and associating checklists has made most of these peer review interventions easier from the physicist and therapist perspectives.20 New auto-segmentation tools to aid physicians in identifying targets, tools to determine if margins were done accurately, auto-propagation of contours in 4D datasets, and other tools are becoming available in commercial systems. Although these tools exist as a guide for physicians, ultimately peer review by colleagues is essential and is being practiced by the majority of clinicians. Another way in which peer review has improved over the last two decades is through the engagement of professional organizations to maximize peer review. ASTRO recently created a Peer Review website where physicians who might be looking for an expert consultant for advice regarding challenging cases or who do not have colleagues available in their practice for peer review can be connected to others. This initiative allows for peer review in settings where it may not have previously been possible and demonstrates the commitment to peer review among the radiation oncology community. Identifying what needs to be peer reviewed, timelines, available resources, etc., are all critical factors that need to be determined for effective and efficient implementation. Despite the challenging nature of peer review implementation, it is more feasible now than ever before within the standard operations of every radiation oncology department.21 The indisputable importance of peer review for the quality and safety of healthcare delivery is emphasized in many publications.22-25 The complexity of the radiation delivery tools and the biological response to radiation makes peer review particularly important in radiotherapy.24, 25 By the late 1980s, national standards developed by experts had established the key components of good quality control and assurance in radiation oncology.23 However, the need for structured peer review did not become evident until the mid-1990s when Levitt & Khan, reviewing various clinical trials, showed that the weakest links in quality control and treatment outcomes were related to human factors.25 A few years later, two seminal publications laid the groundwork for modern peer review. The first, “To err is human: building a safer health system,”24 laid the foundation for a culture of safety in the healthcare system, and the second outlined the key elements of good peer review in radiation oncology based on the experience of the Regional Cancer Center in Kingston, Ontario.22 Today, it seems reasonable to think that the experience of conducting structured peer review for nearly three decades, would make modern peer review in radiation oncology more effective than 20 yr ago, especially when one factors in the sophisticated software available for analysis, retrieval, and display of patient information. Here we posit, however, that although modern peer review is certainly aided by advanced technology, its evolution has been outpaced by an exponential escalation in treatment complexity and the ever-growing challenge of how to meaningfully design and integrate this activity into the clinical workflow. Below, we outline the factors we believe hamper the widespread implementation of effective peer review in today’s radiotherapy, thus challenging the proposition that modern peer review is more effective today than it was 20 yr ago. Complex treatment approaches have outgrown modern peer review. As emphasized in “Safety is No Accident,”26 “as the field advances, traditional approaches, processes and workflows should be continually challenged and reassessed” and peer review is no different. The relative simplicity of radiotherapy treatment planning 20 yr ago accommodated for “effective peer review” by discussing every aspect of the treatment plan prior to the beginning of treatment (prospective review), including treatment indications, prescription, and port and verification films. In the early 2000s, most treatments used a standard schedule of 2 Gy/fraction, patient retreatments were less common, and the debate about different fractionation schedules was only beginning. Additionally, 3D Conformal Radiotherapy was considered a “complex treatment” and plans were not as sensitive to contouring inaccuracies.23, 26 This is no longer true today. Inaccurate contouring has been identified as one of the highest risk failure factors in a recent task group report for physics plan and chart review.27 Despite this, physicians are more likely to review prescription and overall treatment strategy during peer review than contours.10 When contours are reviewed, issues with contouring account for over half of the major changes requested during peer review.21, 28 This indicates a potential mismatch between the focus of some current peer review practices and the clinically impactful factors in modern radiotherapy. Peer review practices that do not prioritize, at the very least, target contour review are ineffective for modern radiotherapy techniques. Contour sensitivity of modern plans is not the only added layer of complexity. Other factors, like image fusion for structure delineation and dose composite estimates, and the combination of treatments with wildly diverse fractionation schemes and of different modalities, make comprehensive and rigorous peer review more challenging than ever. Despite that make possible remote and sophisticated software to display plan 20 yr ago, we can no longer to each of every case we The volume of to be reviewed, with the of a given the of important elements of safety and especially if peer review is not by those in the particular treatment or being Although the importance of peer review is modern peer review is and as a of and in workflow comprehensive prospective peer review. The complexity of treatment planning, the of new and a of treatment have in more and a of and quality checks that have the these factors the time available to the review team for case it to to for prospective peer This results in peer review until after treatment review), although studies that prospective review a of issues with treatment that are less likely to changes to treatment plans the patient has likely to an of different and to workflow 30 when changes are they are more likely to be if treatment has not modern peer review to the needs of modern radiotherapy. peer review practices need to be to of modern radiotherapy, and changes need to be Peer review should not be as but to case complexity. to the of peer review, as in and display of as many as possible can and should be and guidelines should be developed and into treatment plans to maximize of processes prescription, planning with the aid of and and cases should be for more review. When tools and peer review should be to review As emphasized the of peer review its a case for plans to be reviewed prior to including contour review before planning contouring to effective multidisciplinary peer review, a critical needs to be to radiation to continually our understanding of the of different fractionation treatment modalities, tissue that into modern treatment plans for can be on the of the radiotherapy techniques being and to radiotherapy, as and in the of and and other in treatment have the potential for peer review to the complex of modern radiotherapy. We believe that need to to the peer review as was the case 20 yr ago, in a systematic to the and not only to science In to a modern peer review that is as effective as 20 yr ago, comprehensive and prospective peer review at different of the process needs to become an part of modern radiation treatment planning, with appropriate and of the process when and most implementation of the of the three disciplines of Radiation Oncology. We our colleagues for their that peer review is essential for the quality and safety of the patients complex radiotherapy and that sophisticated software makes modern peer review in Radiation Oncology more effective than 20 yr ago. The modern peer review process plan in a from a multidisciplinary team is an effective strategy for plan quality and patient safety as by professional organizations as and in delineation among physicians has been with the of contouring In a by radiation the radiation plans for patients before and a contouring With the of the contouring the variability in target volume was contouring guidelines and an was demonstrated by to the in the of cancer guidelines the physicians in the at risk and the dose to normal some have peer review and the peer review is one of the most effective of with but radiation oncology With the of modern peer review, to a of contours may has in clinical practice to develop treatment planning from the recent article in are that this is an for our it is time to and that peer review should be our like chart a multidisciplinary safety culture by to ask errors in to the remote review via should be the in peer planning that can biological dose and dose when prior treatment are will physicians the complexity of normal tissue sparing dose or reviewing plans. to design peer review auto-segmentation planning, plan and biological dose tools can make the process and more We that the of peer review for in practice can be challenging to However, approaches are in the process of being to our should be peer review and comprehensive multidisciplinary peer review tumor for all the There are several including through ASTRO and the Brachytherapy to develop to aid sites with to peer review. studies on the peer review process the of prospective chart rounds in a format that a We that the in workflow comprehensive prospective peer review. in and needs However, quality is possible with implementation of the a good case for timelines, from and and We certainly with the that peer review is a critical in quality in radiation oncology. We also that modern advances and remote the of engaging more team of including in other we that these modern advances have the potential to make peer review more However, we are that although 20 yr ago peer review with that were much more limited compared to what the available were much more In other we our that modern technology for peer review, the available technology is not being to its for the Additionally, the majority of institutions have to adopt prospective peer review. There are in the of prospective peer review being as the has but this is not the current standard in the in the within the last 10 yr that less than of treatment plans are reviewed prior to treatment in a recently in the the chart rounds with peer review as weekly where treatment plans of patients who are in their first week of treatment are peer further that review is the current standard in radiation Although the plan modification rate from peer review highlights the importance of the activity in quality patient even when done this rate more than in publications where peer review is done earlier in the treatment This that prospective peer review is and that peer review in its current is not as with the rate of in prospective peer review, it is to its as the true of plans is However, has been made to determine the rate of the peer review recently the results from a prospective to determine the error rate during peer The created 20 plans errors and these plans into their weekly chart rounds within the first week of the patient’s for peer review over The results were that a of the plans were not Despite not the data from 20 yr ago for it is that current peer review practices are We are not the that have been made to peer review over the past 20 yr — of modern have peer review. However, we by our that the rate of in peer review has not kept pace with the of plan complexity and workflow for radiation oncology team There is a need for the design and format of this practice and for technology to the that need to process to the quality of a In to 20 yr ago, we currently have a of treatment techniques and an of patients that retreatments and treatment Additionally, we to an of relevant that imaging, available etc., when a patient’s treatment factors, and a on peer review that is to for and effective plan review, especially for an of Although the error rate significantly after the first 30 peer review last an on this is the of time for team to to peer those who experience that hamper their This is also in the which our that in its peer review is as a of and it is ultimately to or the proposition with to of data on the of plan error from peer review over the past 20 it is that current peer review practices in our as a have not been to with and medical and to peer review that were 20 yr ago still today and a commitment to a culture of safety to be We all that the tools to start these are and that there are a few institutions leading the way on more effective peer review However, until this the and not the we need to the that peer review in radiation oncology is not more effective today than 20 yr ago. the field and this, a effective peer review design that of the potential of modern technology will to medical and we will still this 20 yr from The no of

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.398
Teacher spread0.373 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2020
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