Measurement of Tumor Volumes Improves RECIST-Based Response Assessments in Advanced Lung Cancer

Mozley, P. David; Bendtsen, Claus; Zhao, Binsheng; Schwartz, Lawrence H.; Thorn, Matthias; Rong, Yuanxin; Zhang, Luduan; Perrone, Andrea; Korn, R; Buckler, Andrew J.

doi:10.1593/tlo.11232

Cited by 97 publications

(73 citation statements)

References 22 publications

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“…There is some debate as to which assessment is most useful for the evaluation of therapeutic response. The 3D tumor size measurements have been shown to be more sensitive and accurate than 1D or 2D assessments in evaluating treatment response in patients with lung cancer, hepatocellular carcinoma, tuberous sclerosis, rhabdomyosarcoma, prostate cancer, and soft-tissue sarcomas (10)(11)(12)(13)(14)(15)(16). This increased sensitivity is more evident when the axial tumor area changes more than the longitudinal dimension, as is commonly seen in bone tumors (17).…”

Section: Discussionmentioning

confidence: 99%

Three-dimensional Radiologic Assessment of Chemotherapy Response in Ewing Sarcoma Can Be Used to Predict Clinical Outcome

Aghighi¹,

Boe²,

Rosenberg³

et al. 2016

Radiology

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Purpose:To compare the agreement of three-dimensional (3D) tumor measurements for therapeutic response assessment of Ewing sarcoma according to the Children's Oncology Group (COG) criteria, one-dimensional (1D) Response Evaluation Criteria in Solid Tumors (RECIST), and two-dimensional (2D) measurements defined by the World Health Organization (WHO) with tumor volume measurements as the standard of reference and to determine which method correlates best with clinical outcomes. Materials andMethods:This retrospective study was approved by the institutional review board of three institutions. Seventy-four patients (mean age 6 standard deviation, 14.5 years 6 6.5) with newly diagnosed Ewing sarcoma treated at three medical centers were evaluated. Primary tumor size was assessed on pre-and posttreatment magnetic resonance images according to 1D RECIST, 2D WHO, and 3D COG measurements. Tumor responses were compared with the standard of reference (tumor volume) on the basis of RECIST, COG, and WHO therapeutic response thresholds. Agreement between the percentage reduction measurements of the methods was assessed with concordance correlation, Bland-Altman analysis, and Spearman rank correlation. Agreement between therapeutic responses was assessed with Kendall tau and unweighted k statistics. Tumor responses were compared with patient survival by using the log-rank test, Kaplan-Meier plots, and Cox regression. Results:Agreement with the reference standard was significantly better for 3D measurement than for 1D and 2D measurements on the basis of RECIST and COG therapeutic response thresholds (concordance correlation of 0.41, 0.72, and 0.84 for 1D, 2D, and 3D measurements, respectively; P , .0001). Comparison of overall survival of responders and nonresponders demonstrated P values of .4133, .0112, .0032, and .0027 for 1D, 2D, 3D, and volume measurements, respectively, indicating that higher dimensional measurements were significantly better predictors of overall survival. Conclusion:The 3D tumor measurements according to COG are better predictors of therapeutic response of Ewing sarcoma than 1D RECIST or 2D WHO measurements and show a significantly higher correlation with clinical outcomes.q RSNA, 2016

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Section: Discussionmentioning

confidence: 99%

Three-dimensional Radiologic Assessment of Chemotherapy Response in Ewing Sarcoma Can Be Used to Predict Clinical Outcome

Aghighi¹,

Boe²,

Rosenberg³

et al. 2016

Radiology

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“…This paper is focused on the tumour response; in particular, the modelling and prediction of tumour volume change during the course of radiotherapy. Since tumour volume has been regarded as a measure of treatment response (Bral et al, 2009;Bentzen & Thames, 1996;Dubben et al, 1998;Mozley et al, 2012;Willner et al, 2002), such predictive models could provide useful information that could be used to optimise treatment for individual patients, as demonstrated in computer simulations (Chen et al, 2012;Dionysiou & Stamatakos, 2006;Kim et al, 2009). It should be noted that rapid reduction of tumour volume during radiotherapy can associate with poor outcome (e.g.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Bayesian adaptive prediction of individual patients’ tumour volume change during radiotherapy

et al. 2016

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The aim of this study was to develop a mathematical modelling method that can predict individual patients' response to radiotherapy, in terms of tumour volume change during the treatment. The main idea was to start from a population-average model, which is subsequently updated from an individual's tumour volume measurement; therefore the model becomes more and more personalised and so is the prediction. This idea of adaptive prediction was realised by using a Bayesian approach for updating the model parameters. The feasibility of the developed method was demonstrated on the data from 25 nonsmall cell lung cancer patients treated with helical Tomotherapy, during which tumour volume was measured from daily imaging as part of the image-guided radiotherapy. The method could provide useful information for adaptive treatment planning and dose scheduling based on the patient's personalised response.

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“…Assessment of tumor volume reduction in response to irradiation is one of the most important factors for the evaluation of efficacy in cancer treatment for treatment of benign as well as malignant tumors. Quantitative volumetric assessment using MRI is precise in measuring the actual tumor burden [7,8]. Specifically, the tumor volume of the residual meningioma around the resection cavity, which is difficult to measure with traditional one-or twodimensional measurement techniques, can be easily measured with the RT planning system or commercial software using MRI.…”

Section: Discussionmentioning

confidence: 99%

Quantitative analysis of tumor volume reduction after three-dimensional conformal radiation therapy for intracranial meningiomas

et al. 2014

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To provide radiobiological information on the inherent response of intracranial meningiomas after three-dimensional conformal radiation therapy. Quantitative tumor volume measurements were generated from 120 magnetic resonance images of a total of 24 patients. Gross tumor volumes were delineated on a series of contrast-enhanced T1-weighted magnetic resonance images by using commercial software. The percentage of tumor volume reduction at each follow-up was determined and compared to the baseline tumor volume. The median follow-up time was 103.5 months (range 30-137 months). The mean pre-radiation therapy tumor volume was 30.0 cm(3) (range 1.3-167.4 cm(3)). Tumor volume reduction was observed in 96 % of the study population. The mean absolute and relative tumor volume reduction were 14.0 cm(3) (range -0.6-84.5 cm(3)) and 40.8 % (range -6.8-82.9 %), respectively. The mean relative tumor volume reduction was 15.9, 28.9, 40.5, 50.3, and 52.6 % at 2, 4, 6, 8, and 10 years after irradiation. The quantitative volumetric analysis of the pattern of tumor volume reduction in response to irradiation gives an insight into the radiobiological nature of intracranial meningiomas after conventionally fractionated radiation therapy.

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Measurement of Tumor Volumes Improves RECIST-Based Response Assessments in Advanced Lung Cancer

Cited by 97 publications

References 22 publications

Three-dimensional Radiologic Assessment of Chemotherapy Response in Ewing Sarcoma Can Be Used to Predict Clinical Outcome

Three-dimensional Radiologic Assessment of Chemotherapy Response in Ewing Sarcoma Can Be Used to Predict Clinical Outcome

Modelling and Bayesian adaptive prediction of individual patients’ tumour volume change during radiotherapy

Quantitative analysis of tumor volume reduction after three-dimensional conformal radiation therapy for intracranial meningiomas

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