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Dive into the research topics where Mary K. Martel is active.

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Featured researches published by Mary K. Martel.


International Journal of Radiation Oncology Biology Physics | 2010

RADIATION DOSE-VOLUME EFFECTS OF OPTIC NERVES AND CHIASM

Charles Mayo; Mary K. Martel; Lawrence B. Marks; John C. Flickinger; Jiho Nam; John P. Kirkpatrick

Publications relating radiation toxicity of the optic nerves and chiasm to quantitative dose and dose-volume measures were reviewed. Few studies have adequate data for dose-volume outcome modeling. The risk of toxicity increased markedly at doses >60 Gy at approximately 1.8 Gy/fraction and at >12 Gy for single-fraction radiosurgery. The evidence is strong that radiation tolerance is increased with a reduction in the dose per fraction. Models of threshold tolerance were examined.


International Journal of Radiation Oncology Biology Physics | 2010

Influence of technologic advances on outcomes in patients with unresectable, locally advanced non-small-cell lung cancer receiving concomitant chemoradiotherapy.

Zhongxing X. Liao; Ritsuko Komaki; Howard D. Thames; Helen Liu; Susan L. Tucker; Radhe Mohan; Mary K. Martel; X. Wei; Kunyu Yang; Edward S. Kim; George R. Blumenschein; Waun Ki Hong; James D. Cox

PURPOSE In 2004, our institution began using four-dimensional computed tomography (4DCT) simulation and then intensity-modulated radiotherapy (IMRT) (4DCT/IMRT) instead of three-dimensional conformal radiotherapy (3DCRT) for the standard treatment of non-small-cell lung cancer (NSCLC). This retrospective study compares disease outcomes and toxicity in patients treated with concomitant chemotherapy and either 4DCT/IMRT or 3DCRT. METHODS AND MATERIALS A total of 496 NSCLC patients have been treated at M. D. Anderson Cancer Center between 1999 and 2006 with concomitant chemoradiotherapy. Among these, 318 were treated with CT/3DCRT and 91 with 4DCT/IMRT. Both groups received a median dose of 63 Gy. Disease end points were locoregional progression (LRP), distant metastasis (DM), and overall survival (OS). Disease covariates were gross tumor volume (GTV), nodal status, and histology. The toxicity end point was Grade >or=3 radiation pneumonitis; toxicity covariates were GTV, smoking status, and dosimetric factors. Data were analyzed using Cox proportional hazards models. RESULTS Mean follow-up times in the 4DCT/IMRT and CT/3DCRT groups were 1.3 (range, 0.1-3.2) and 2.1 (range, 0.1-7.9) years, respectively. The hazard ratios for 4DCT/IMRT were <1 for all disease end points; the difference was significant only for OS. The toxicity rate was significantly lower in the IMRT/4DCT group than in the CT/3DCRT group. V20 was significantly higher in the 3DCRT group and was a significant factor in determining toxicity. Freedom from DM was nearly identical in both groups. CONCLUSIONS Treatment with 4DCT/IMRT was at least as good as that with 3DCRT in terms of the rates of freedom from LRP and DM. There was a significant reduction in toxicity and a significant improvement in OS.


Medical Physics | 2012

The use and QA of biologically related models for treatment planning: short report of the TG-166 of the therapy physics committee of the AAPM.

X. Allen Li; Markus Alber; Joseph O. Deasy; Andrew Jackson; Kyung Wook Ken Jee; Lawrence B. Marks; Mary K. Martel; Charles S. Mayo; Vitali Moiseenko; Alan E. Nahum; Andrzej Niemierko; Vladimir A. Semenenko; Ellen Yorke

Treatment planning tools that use biologically related models for plan optimization and/or evaluation are being introduced for clinical use. A variety of dose-response models and quantities along with a series of organ-specific model parameters are included in these tools. However, due to various limitations, such as the limitations of models and available model parameters, the incomplete understanding of dose responses, and the inadequate clinical data, the use of biologically based treatment planning system (BBTPS) represents a paradigm shift and can be potentially dangerous. There will be a steep learning curve for most planners. The purpose of this task group is to address some of these relevant issues before the use of BBTPS becomes widely spread. In this report, the authors (1) discuss strategies, limitations, conditions, and cautions for using biologically based models and parameters in clinical treatment planning; (2) demonstrate the practical use of the three most commonly used commercially available BBTPS and potential dosimetric differences between biologically model based and dose-volume based treatment plan optimization and evaluation; (3) identify the desirable features and future directions in developing BBTPS; and (4) provide general guidelines and methodology for the acceptance testing, commissioning, and routine quality assurance (QA) of BBTPS.


International Journal of Radiation Oncology Biology Physics | 2012

Long-Term Clinical Outcome of Intensity-Modulated Radiotherapy for Inoperable Non-Small Cell Lung Cancer: The MD Anderson Experience

Zhi Qin Jiang; Kunyu Yang; Ritsuko Komaki; X. Wei; Susan L. Tucker; Yan Zhuang; Mary K. Martel; Sastray Vedam; P Balter; G. Zhu; Daniel R. Gomez; Charles Lu; Radhe Mohan; James D. Cox; Zhongxing Liao

PURPOSE In 2007, we published our initial experience in treating inoperable non-small-cell lung cancer (NSCLC) with intensity-modulated radiation therapy (IMRT). The current report is an update of that experience with long-term follow-up. METHODS AND MATERIALS Patients in this retrospective review were 165 patients who began definitive radiotherapy, with or without chemotherapy, for newly diagnosed, pathologically confirmed NSCLC to a dose of ≥60 Gy from 2005 to 2006. Early and late toxicities assessed included treatment-related pneumonitis (TRP), pulmonary fibrosis, esophagitis, and esophageal stricture, scored mainly according to the Common Terminology Criteria for Adverse Events 3.0. Other variables monitored were radiation-associated dermatitis and changes in body weight and Karnofsky performance status. The Kaplan-Meier method was used to compute survival and freedom from radiation-related acute and late toxicities as a function of time. RESULTS Most patients (89%) had Stage III to IV disease. The median radiation dose was 66 Gy given in 33 fractions (range, 60-76 Gy, 1.8-2.3 Gy per fraction). Median overall survival time was 1.8 years; the 2-year and 3-year overall survival rates were 46% and 30%. Rates of Grade ≥3 maximum TRP (TRP(max)) were 11% at 6 months and 14% at 12 months. At 18 months, 86% of patients had developed Grade ≥1 maximum pulmonary fibrosis (pulmonary fibrosis(max)) and 7% Grade ≥2 pulmonary fibrosis(max). The median times to maximum esophagitis (esophagitis(max)) were 3 weeks (range, 1-13 weeks) for Grade 2 and 6 weeks (range, 3-13 weeks) for Grade 3. A higher percentage of patients who experienced Grade 3 esophagitis(max) later developed Grade 2 to 3 esophageal stricture. CONCLUSIONS In our experience, using IMRT to treat NSCLC leads to low rates of pulmonary and esophageal toxicity, and favorable clinical outcomes in terms of survival.


International Journal of Radiation Oncology Biology Physics | 2008

Report From the International Atomic Energy Agency (IAEA) Consultants' Meeting on Elective Nodal Irradiation in Lung Cancer: Small-Cell Lung Cancer (SCLC)

Gregory M.M. Videtic; J. Belderbos; Feng Ming Kong; Lucyna Kepka; Mary K. Martel; Branislav Jeremic

Thoracic radiotherapy (RT) is an integral part of the management of small-cell lung cancer (SCLC) because its administration provides a survival benefit in patients with limited-stage disease. However, there are many areas of controversy with respect to the delivery of curative RT, and these include definition of the target to be irradiated. A current area of concern is defining what the RT portal must encompass with respect to the mediastinal lymph nodes; that is, whether one should electively treat all mediastinal nodes, or selectively include those with some clinical risk for harboring disease, or perhaps omit elective nodal irradiation altogether. The purpose of the present report is therefore to address the concepts underlying elective or selective nodal irradiation as it applies to SCLC, looking at clinical, imaging, and RT reports to help define the parameters appropriate to treating individual patients.


Radiotherapy and Oncology | 2009

Dose-volume thresholds and smoking status for the risk of treatment-related pneumonitis in inoperable non-small cell lung cancer treated with definitive radiotherapy.

Hekun Jin; Susan L. Tucker; Hui Helen Liu; X. Wei; Sue S. Yom; Shu-Lian Wang; Ritsuko Komaki; Yuhchyau Chen; Mary K. Martel; Radhe Mohan; James D. Cox; Zhongxing Liao

PURPOSE To identify clinical risk factors and dose-volume thresholds for treatment-related pneumonitis (TRP) in patients with non-small cell lung cancer (NSCLC). METHODS AND MATERIALS Data were retrospectively collected from patients with inoperable NSCLC treated with radiotherapy with or without chemotherapy. TRP was graded according to Common Terminology Criteria for Adverse Events, version 3.0, with time to grade > or = 3 TRP calculated from start of radiotherapy. Clinical factors and dose-volume parameters were analyzed for their association with risk of TRP. RESULTS Data from 576 patients (75% with stage III NSCLC) were included in this study. The Kaplan-Meier estimate of the incidence of grade > or = 3 TRP at 12 months was 22%. An analysis of dose-volume parameters identified a threshold dose-volume histogram (DVH) curve defined by V(20) < or = 25%, V(25) < or = 20%, V(35) < or = 15%, and V(50) < or = 10%. Patients with lung DVHs satisfying these constraints had only 2% incidence of grade > or = 3 TRP. Smoking status was the only clinical factor that affected the risk of TRP independent of dosimetric factors. CONCLUSIONS The risk of TRP varied significantly, depending on radiation dose-volume parameters and patient smoking status. Further studies are needed to identify biological basis of smoking effect and methods to reduce the incidence of TRP.


International Journal of Radiation Oncology Biology Physics | 2008

Analysis of Radiation Pneumonitis Risk Using a Generalized Lyman Model

Susan L. Tucker; H. Helen Liu; Zhongxing Liao; X. Wei; Shu-Lian Wang; Hekun Jin; Ritsuko Komaki; Mary K. Martel; Radhe Mohan

PURPOSE To introduce a version of the Lyman normal-tissue complication probability (NTCP) model adapted to incorporate censored time-to-toxicity data and clinical risk factors and to apply the generalized model to analysis of radiation pneumonitis (RP) risk. METHODS AND MATERIALS Medical records and radiation treatment plans were reviewed retrospectively for 576 patients with non-small cell lung cancer treated with radiotherapy. The time to severe (Grade >/=3) RP was computed, with event times censored at last follow-up for patients not experiencing this endpoint. The censored time-to-toxicity data were analyzed using the standard and generalized Lyman models with patient smoking status taken into account. RESULTS The generalized Lyman model with patient smoking status taken into account produced NTCP estimates up to 27 percentage points different from the model based on dose-volume factors alone. The generalized model also predicted that 8% of the expected cases of severe RP were unobserved because of censoring. The estimated volume parameter for lung was not significantly different from n = 1, corresponding to mean lung dose. CONCLUSIONS NTCP models historically have been based solely on dose-volume effects and binary (yes/no) toxicity data. Our results demonstrate that inclusion of nondosimetric risk factors and censored time-to-event data can markedly affect outcome predictions made using NTCP models.


International Journal of Radiation Oncology Biology Physics | 2013

Use of 4-dimensional computed tomography-based ventilation imaging to correlate lung dose and function with clinical outcomes

Yevgeniy Vinogradskiy; Richard Castillo; Edward Castillo; Susan L. Tucker; Zhongxing Liao; Thomas Guerrero; Mary K. Martel

PURPOSE Four-dimensional computed tomography (4DCT)-based ventilation is an emerging imaging modality that can be used in the thoracic treatment planning process. The clinical benefit of using ventilation images in radiation treatment plans remains to be tested. The purpose of the current work was to test the potential benefit of using ventilation in treatment planning by evaluating whether dose to highly ventilated regions of the lung resulted in increased incidence of clinical toxicity. METHODS AND MATERIALS Pretreatment 4DCT data were used to compute pretreatment ventilation images for 96 lung cancer patients. Ventilation images were calculated using 4DCT data, deformable image registration, and a density-change based algorithm. Dose-volume and ventilation-based dose function metrics were computed for each patient. The ability of the dose-volume and ventilation-based dose-function metrics to predict for severe (grade 3+) radiation pneumonitis was assessed using logistic regression analysis, area under the curve (AUC) metrics, and bootstrap methods. RESULTS A specific patient example is presented that demonstrates how incorporating ventilation-based functional information can help separate patients with and without toxicity. The logistic regression significance values were all lower for the dose-function metrics (range P=.093-.250) than for their dose-volume equivalents (range, P=.331-.580). The AUC values were all greater for the dose-function metrics (range, 0.569-0.620) than for their dose-volume equivalents (range, 0.500-0.544). Bootstrap results revealed an improvement in model fit using dose-function metrics compared to dose-volume metrics that approached significance (range, P=.118-.155). CONCLUSIONS To our knowledge, this is the first study that attempts to correlate lung dose and 4DCT ventilation-based function to thoracic toxicity after radiation therapy. Although the results were not significant at the .05 level, our data suggests that incorporating ventilation-based functional imaging can improve prediction for radiation pneumonitis. We present an important first step toward validating the use of 4DCT-based ventilation imaging in thoracic treatment planning.


Medical Physics | 2011

Use of weekly 4DCT-based ventilation maps to quantify changes in lung function for patients undergoing radiation therapy

Yevgeniy Vinogradskiy; Richard Castillo; Edward Castillo; Adam G. Chandler; Mary K. Martel; Thomas Guerrero

PURPOSE A method has been proposed to calculate ventilation maps from four-dimensional computed tomography (4DCT) images. Weekly 4DCT data were acquired throughout the course of radiation therapy for patients with lung cancer. The purpose of our work was to use ventilation maps calculated from weekly 4DCT data to study how ventilation changed throughout radiation therapy. METHODS Quantitative maps representing ventilation were generated for six patients. Deformable registration was used to link corresponding lung volume elements between the inhale and exhale phases of the 4DCT dataset. Following spatial registration, corresponding Hounsfield units were input into a density-change-based model for quantifying the local ventilation. The ventilation data for all weeks were registered to the pretreatment ventilation image set. We quantitatively analyzed the data by defining regions of interest (ROIs) according to dose (V(20)) and lung lobe and by tracking the weekly ventilation of each ROI throughout treatment. The slope of the linear fit to the weekly ventilation data was used to evaluate the change in ventilation throughout treatment. A positive slope indicated an increase in ventilation, a negative slope indicated a decrease in ventilation, and a slope of 0 indicated no change. The dose ROI ventilation and slope data were used to study how ventilation changed throughout treatment as a function of dose. The lung lobe ROI ventilation data were used to study the impact of the presence of tumor on pretreatment ventilation. In addition, the lobe ROI data were used to study the impact of tumor reduction on ventilation change throughout treatment. RESULTS Using the dose ROI data, we found that three patients had an increase in weekly ventilation as a function of dose (slopes of 1.1, 1.4, and 1.5) and three patients had no change or a slight decrease in ventilation as a function of dose (slopes of 0.3, -0.6, -0.5). Visually, pretreatment ventilation appeared to be lower in the lobes that contained tumor. Pretreatment ventilation was 39% for lobes that contained tumor and 54% for lobes that did not contain tumor. The difference in ventilation between the two groups was statistically significant (p = 0.017). When the weekly lobe ventilation data were qualitatively observed, two distinct patterns emerged. When the tumor volume in a lobe was reduced, ventilation increased in the lobe. When the tumor volume was not reduced, the ventilation distribution did not change. The average slope of the group of lobes that contained tumors that shrank was 1.18, while the average slope of the group that did not contain tumors (or contained tumors that did not shrink) was -0.32. The slopes for the two groups were significantly different (p = 0.014). CONCLUSIONS We did not find a consistent pattern of ventilation change as a function of radiation dose. Pretreatment ventilation was significantly lower for lobes that contained tumor, due to occlusion of the central airway. The weekly lobe ventilation data indicated that when tumor volume shrinks, ventilation increases, and when the thoracic anatomy is not visibly changed, ventilation is likely to remain unchanged.


Medical Dosimetry | 2008

Proton radiotherapy for liver tumors: dosimetric advantages over photon plans.

Xiaochun Wang; Sunil Krishnan; Xiaodong Zhang; Lei Dong; Tina Marie Briere; Christopher H. Crane; Mary K. Martel; M Gillin; Radhe Mohan; S Beddar

The purpose of the study is to dosimetrically investigate the advantages of proton radiotherapy over photon radiotherapy for liver tumors. The proton plan and the photon plan were designed using commercial treatment planning systems. The treatment target dose conformity and heterogeneity and dose-volume analyses of normal structures were compared between proton and photon radiotherapy for 9 patients with liver tumors. Proton radiotherapy delivered a more conformal target dose with slightly less homogeneity when compared with photon radiotherapy. Protons significantly reduced the fractional volume of liver receiving dose greater or equal to 30 Gy (V(30)) and the mean liver dose. The stomach and duodenal V(45) were significantly lower with the use of proton radiotherapy. The V(40) and V(50) of the heart and the maximum spinal cord dose were also significantly lower with the use of proton radiotherapy. Protons were better able to spare one kidney completely and deliver less dose to one (generally the left) kidney than photons. The mean dose to the total body and most critical structures was significantly decreased using protons when compared to corresponding photon plans. In conclusion, our study suggests the dosimetric benefits of proton radiotherapy over photon radiotherapy. These dosimetric advantages of proton plans may permit further dose escalation with lower risk of complications.

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Susan L. Tucker

University of Texas MD Anderson Cancer Center

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Radhe Mohan

University of Texas MD Anderson Cancer Center

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Daniel R. Gomez

University of Texas MD Anderson Cancer Center

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L Court

University of Texas MD Anderson Cancer Center

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Z. Liao

University of Texas MD Anderson Cancer Center

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Zhongxing Liao

University of Texas MD Anderson Cancer Center

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Yevgeniy Vinogradskiy

University of Colorado Denver

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Tina Marie Briere

University of Texas MD Anderson Cancer Center

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James D. Cox

University of Texas MD Anderson Cancer Center

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R. Komaki

University of Texas MD Anderson Cancer Center

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