scholarly journals CT-based ventilation imaging in radiation oncology

BJR|Open ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 20180035 ◽  
Author(s):  
Yevgeniy Vinogradskiy

A form of lung function imaging is emerging that uses phase-resolved four-dimensional CT (4DCT or breath-hold CT) images along with image processing techniques to generate lung function maps that provide a surrogate of lung ventilation. CT-based ventilation (referred to as CT-ventilation) research has gained momentum in Radiation Oncology because many lung cancer patients undergo four-dimensional CT simulation as part of the standard treatment planning process. Therefore, generating CT-ventilation images provides functional information without burdening the patient with an extra imaging procedure. CT-ventilation has progressed from an image processing calculation methodology, to validation efforts, to retrospective demonstration of clinical utility in Radiation Oncology. In particular, CT-ventilation has been proposed for two main clinical applications: functional avoidance radiation therapy and thoracic dose–response assessment. The idea of functional avoidance radiation therapy is to preferentially spare functional portions of the lung (as measured by CT-ventilation) during radiation therapy with the hypothesis that reducing dose to functional portions of the lung will lead to reduced rates of radiation-related thoracic toxicity. The idea of imaging-based dose–response assessment is to evaluate pre- to post-treatment CT-ventilation-based imaging changes. The hypothesis is that early, imaging-change-based response can be an early predictor of subsequent thoracic toxicity. Based on the retrospective evidence, the clinical applications of CT-ventilation have progressed from the retrospective setting to on-going prospective clinical trials. This review will cover basic CT-ventilation calculation methodologies, validation efforts, presentation of clinical applications, summarize on-going clinical trials, review potential uncertainties and shortcomings of CT-ventilation, and discuss future directions of CT-ventilation research.

2007 ◽  
Vol 25 (8) ◽  
pp. 938-946 ◽  
Author(s):  
Laura A. Dawson ◽  
David A. Jaffray

Imaging is central to radiation oncology practice, with advances in radiation oncology occurring in parallel to advances in imaging. Targets to be irradiated and normal tissues to be spared are delineated on computed tomography (CT) scans in the planning process. Computer-assisted design of the radiation dose distribution ensures that the objectives for target coverage and avoidance of healthy tissue are achieved. The radiation treatment units are now recognized as state-of-the-art robotics capable of three-dimensional soft tissue imaging immediately before, during, or after radiation delivery, improving the localization of the target at the time of radiation delivery, to ensure that radiation therapy is delivered as planned. Frequent imaging in the treatment room during a course of radiation therapy, with decisions made on the basis of imaging, is referred to as image-guided radiation therapy (IGRT). IGRT allows changes in tumor position, size, and shape to be measured during the course of therapy, with adjustments made to maximize the geometric accuracy and precision of radiation delivery, reducing the volume of healthy tissue irradiated and permitting dose escalation to the tumor. These geometric advantages increase the chance of tumor control, reduce the risk of toxicity after radiotherapy, and facilitate the development of shorter radiotherapy schedules. By reducing the variability in delivered doses across a population of patients, IGRT should also improve interpretation of future clinical trials.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3460-3460 ◽  
Author(s):  
Joan Blade ◽  
Stefan Knop ◽  
Adam D. Cohen ◽  
Jatin J. Shah ◽  
Ralph M. Meyer

Abstract Background: In multiple myeloma (MM), reproducible criteria of disease response and progression are critical to ensuring consistency in trial analysis and reporting. Regulatory Agencies responsible for drug approval often require clinical trials use objective endpoints that are evaluated by Independent Response Adjudication Committees (IRACs). The International Myeloma Working Group (IMWG) has developed objective criteria to define disease evaluability, response, and progression (Durie, Leukemia 2006). However, there are scenarios were IMWG criteria are ambiguous, potentially leading to inconsistency amongst IRAC members or between different IRACs when interpreting response data. To address these practical issues, we developed rules for applying IMWG response criteria to the FIRST trial, the largest study in newly-diagnosed MM (Facon, Blood 2013). Patients and Methods: FIRST is a pivotal phase III trial for previously untreated patients with MM not eligible for ASCT that enrolled 1623 patients; the primary endpoint was progression-free survival (PFS). At 12 in-person meetings between 2010-2013, the IRAC assessed eligibility, evaluability and response status of all patients after each cycle until PD or study discontinuation. These evaluations were used in the trial’s primary analysis. Response was based on central laboratory values and assessed using IMWG criteria. For circumstances where IMWG criteria were ambiguous, rules were developed through unanimous consensus of IRAC members and then applied uniformly throughout the study. Results: Rules addressing identified issues on evaluability, response and progressive disease are shown in tables 1-3. Common situations posing a need for rules concerned to measurability, missing laboratory values, timing of BM exam to assess CR, discrepancies between screening and baseline lab values or measurements in the size of extramedullary plasmacytomas Conclusions: These recommendations provide explicit descriptions of response assessment of the FIRST trial, can be used for a more uniform evaluation and reporting in future clinical studies and can assist investigators’ adherence to clinical trial requirements. Table 1. Rules for Use of Data for Evaluation Issue Recommendation Light chain (Bence-Jones) myeloma with “non-measurable” serum light chain Use only 24 hour urine M-spike value for response evaluation, except for complete response (CR) IgG, IgA or IgD myeloma with “non-measurable” serum M-spike values and measurable urine M-spike Use only urine values for response evaluation except for CR or PD Disease with “measurable” values at screening but “non-measurable” at baseline (cycle 1, day 1) All assessments not meeting CR or PD should be “non-evaluable (NE)” Missing data for 2 or more consecutive cycles Consider “NE” for the specific missing cycle assessments M-spike reported as “too small to quantitate” in responding patient Assign value of 0 to allow subsequent calculation of absolute increase to determine PD Plasmacytoma given prior radiation therapy or located only in bone Not used for response assessment, except for potential PD Table 2. Rules for Response Assessment Issue Recommendation Absence of 2 consecutive negative IFE and simultaneous <5% BMPCs CR not assigned, assess as VGPR Extramedullary plasmacytomas (EMPs) - Visits until first EMP assessment Assess as NE - Two consecutive missing EMP assessments Assess as NE - EMPs not assessed as per protocol Assess as NE (consider a sensitivity analysis (ignoring EMPs)) - Patients in serologic VGPR, with ³ 50% decrease in EMP, but still present Assess as PR, until EMPs have disappeared Table 3. Rules for Determining Progressive Disease Issue Recommendation Increase in a previously existing EMP or bone lesion as only source of PD Request verification of radiologist reports before PD is assigned Initiation of a new antimyeloma therapy before documented PD Censor at the time of last assessment before starting the new therapy PD only based on the BMPCs Determine reason for BM exam (anemia? bone pain?) before assigning PD Radiation therapy not for pre-planned reasons Assess as PD PD based on M-protein measurements with no confirmation Censor unless that PD is considered unequivocal by unanimous agreement of IRAC Disclosures Blade: Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding. Knop:Celgene: Honoraria. Cohen:Celgene: Honoraria. Shah:Onyx Pharmaceuticals: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Millennium Pharmaceuticals: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Array: Consultancy, Research Funding. Meyer:Celgene: Honoraria.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 4583-4583
Author(s):  
Kamal M. Patel ◽  
Luciana P. De Paula ◽  
John M. Holland ◽  
Richard T. Maziarz ◽  
Carol M. Marquez

Abstract Introduction Extramedullary leukemia (EML) will develop in approximately 3% of the patients with acute leukemia. Only a few retrospective studies, and no prospective or randomized studies, have assessed the effectiveness and toxicity of radiation for EML. Here we review the EML patients treated with radiation therapy at the Oregon Health and Sciences University (OHSU) Radiation Oncology department. Methods and Materials From 1987 to 2005, 17 patients with EML underwent 20 radiation courses at the OHSU Radiation Oncology department. All patients had either biopsy-proven EML or had pre-established diagnoses of leukemia and were treated for EML as presumptive relapse. Patient data and disease history were either extracted from the patient chart or obtained from the cancer tumor registry. Variables used for analysis included patient age, gender, histological diagnosis, tumor location, radiation dose, fraction size, acute toxicities, last follow up or date of death, disease recurrence site after radiation therapy, initial symptom with presenting EML, effect of radiation on symptom(s), and time to EML. Univariate and multivariate analyses were done. Kaplan-Meier survival curves and Cox regression analyses were generated. Results The mean age of our patients was 37.5 years, with a range from 7.4 to 78.5 years. Males made up 76% of the patients population. The most common location for an EML was soft tissue (25%), followed by central nervous system (20%), and mucosal (15%). Surgical intervention was performed in only 5 of the 17 EML patients. The 17 patients received 20 treatment courses. The most frequently used radiation energy was 6 Megavoltage photons (55% of the cases), while the next most common was cobalt 60 (10%) and a mixed energy beam (10%). Radiation therapy was quite effective at relieving symptoms with a 94% response rate and 61% having a complete response. Pain was palliated in 88% of patients, while mass effect was decreased in 100% of patients. The mean radiation dose given was 21.8 Gray (range 10–39.6 Gy). We did not observe a radiation dose response to symptom palliation (Table 1). Leukemia recurrence of any type occurred at a median of 5.8 months from the last day of radiation treatment. There was a low incidence of acute grade 1 or 2 toxicities (39%) and no acute grade 3 or 4 toxicities or late toxicities. Our 17 patients had a mean and median overall survival of 20.7 months and 5.6 months, ranging from less than 1 month to 149 months. Regression and correlation models failed to show any significant prognostic factor (age, gender, quality of radiation, total radiation dose, initial presenting EML symptom, or time from diagnosis of leukemia to diagnosis to EML) influencing overall survival. Conclusions The role of radiation in EML is for symptom relief. Low dose radiation provides excellent palliation with minimal toxicity. A radiation dose response was not seen in our small patient population. Table 1 Radiation Dose response in Extramedullary Leukemia Dose # Patients # Symptoms # symptoms with a response # symptoms with a complete response 10–19.9 Gy 6 7 7 (100%) 4 (57%) 20–29.9 Gy 4 5 5 (100%) 3 (60%) 30 Gy or more 4 6 5 (83%) 4 (80%)


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