4.7 Article

NORMAL TISSUE COMPLICATION PROBABILITY MODELING OF ACUTE HEMATOLOGIC TOXICITY IN CERVICAL CANCER PATIENTS TREATED WITH CHEMORADIOTHERAPY

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ijrobp.2009.11.010

关键词

Cervical cancer; Hematologic toxicity; Bone marrow; Normal tissue complication probability

资金

  1. American Society of Clinical Oncology
  2. NIH [T32 RR023254]

向作者/读者索取更多资源

Purpose: To test the hypothesis that increased pelvic bone marrow (BM) irradiation is associated with increased hematologic toxicity (HT) in cervical cancer patients undergoing chemoradiotherapy and to develop a normal tissue complication probability (NTCP) model for HT. Methods and Materials: We tested associations between hematologic nadirs during chemoradiotherapy and the volume of BM receiving >= 10 and 20 Gy (V-10 and V-20) using a previously developed linear regression model. The validation cohort consisted of 44 cervical cancer patients treated with concurrent cisplatin and pelvic radiotherapy. Subsequently, these data were pooled with data from 37 identically treated patients from a previous study, forming a cohort of 81 patients for normal tissue complication probability analysis. Generalized linear modeling was used to test associations between hematologic nadirs and dosimetric parameters, adjusting for body mass index. Receiver operating characteristic curves were used to derive optimal dosimetric planning constraints. Results: In the validation cohort, significant negative correlations were observed between white blood cell count nadir and V-10 (regression coefficient (beta) = -0.060, p = 0.009) and V-20 (beta = -0.044, p = 0.010). In the combined cohort, the (adjusted) beta estimates for log (white blood cell) vs. V-10 and V-20 were as follows: -0.022 (p = 0.025) and -0.021 (p = 0.002), respectively. Patients with V-10 >= 95% were more likely to experience Grade >= 3 leukopenia (68.8% vs. 24.6%, p <0.001) than were patients with V-20> 76% (57.7% vs. 21.8%,p = 0.001). Conclusions: These findings support the hypothesis that HT increases with increasing pelvic BM volume irradiated. Efforts to maintain V-10 < 95% and V-20 < 76% may reduce HT. (C) 2011 Elsevier Inc.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Oncology

ACR-ASTRO Practice Parameter for Image-guided Radiation Therapy (IGRT)

Join Y. Luh, Kevin Albuquerque, Cheewai Cheng, Ralph P. Ermoian, Nima Nabavizadeh, Homayon Parsai, John C. Roeske, Stephanie E. Weiss, Raymond B. Wynn, Yan Yu, Seth A. Rosenthal, Alan Hartford

AMERICAN JOURNAL OF CLINICAL ONCOLOGY-CANCER CLINICAL TRIALS (2020)

Article Oncology

Fully automated planning and delivery of hippocampal-sparing whole brain irradiation

Iris Rusu, John Roeske, Abhishek Solanki, Hyejoo Kang

Summary: The study aims to automate the treatment planning and delivery of hippocampal-sparing whole brain irradiation (HS-WBRT) using a combination of RapidPlan (RP) knowledge-based planning model and HyperArc (HA) technology. The RP-HA plans demonstrated improved dosimetric performance compared to RP and VMAT plans, as well as shorter planning and delivery time. The automation provided by RP-HA method enables standardized plan quality, increased efficiency, and improved patient care.

MEDICAL DOSIMETRY (2022)

Article Oncology

Racial, Ethnic, and Socioeconomic Discrepancies in Opioid Prescriptions Among Older Patients With Cancer

Lucas K. Vitzthum, Vinit Nalawade, Paul Riviere, Whitney Sumner, Tyler Nelson, Loren K. Mell, Timothy Furnish, Brent Rose, Maria Elena Martinez, James D. Murphy

Summary: This study found significant differences in opioid prescription rates and pain-related outcomes by race and area-level poverty in older cancer patients. Non-Hispanic Black patients were significantly less likely to receive an opioid prescription, while patients from high-poverty areas were more likely to develop persistent opioid use and require pain-related emergency department visits.

JCO ONCOLOGY PRACTICE (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

The markerless lung target tracking AAPM Grand Challenge (MATCH) results

Marco Mueller, Per Poulsen, Rune Hansen, Wilko Verbakel, Ross Berbeco, Dianne Ferguson, Shinichiro Mori, Lei Ren, John C. Roeske, Lei Wang, Pengpeng Zhang, Paul Keall

Summary: The MATCH challenge aimed to provide a common methodology for measuring accuracy of MLTT approaches for lung SABR. Various MLTT approaches demonstrated sub-millimeter tracking accuracy and precision, paving the way for broader clinical implementation. The challenge is ongoing, with datasets and analysis software available online for future research support.

MEDICAL PHYSICS (2022)

Article Engineering, Biomedical

Alpha particle microdosimetry calculations using a shallow neural network

Peter Wagstaff, Pablo Minguez Gabina, Ricardo Minguez, John C. Roeske

Summary: A shallow neural network was trained and tested to accurately calculate microdosimetric parameters for alpha-particle emitters. The network demonstrated high accuracy and reliability, making it a valuable tool for such studies.

PHYSICS IN MEDICINE AND BIOLOGY (2022)

Article Biology

Planning and dosimetric evaluation of three total body irradiation techniques: Standard SSD VMAT, Extended SSD VMAT and Extended SSD Field-in-Field

Mert Cananoglu, Pervin Hurmuz, Mete Yeginer, Gokhan Ozyigit

Summary: This study compared the dosimetric effects of three total body irradiation (TBI) techniques delivered by a standard linear accelerator and concluded that the Standard SSD VMAT technique is superior in sparing the lung tissue. All three techniques were found to be feasible in clinical practice with acceptable dose homogeneity.

RADIATION AND ENVIRONMENTAL BIOPHYSICS (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Effect of different noise reduction techniques and template matching parameters on markerless tumor tracking using dual-energy imaging

Mandeep Kaur, Peter Wagstaff, Hassan Mostafavi, Mathias Lehmann, Daniel Morf, Liangjia Zhu, Hyejoo Kang, Michal Walczak, Matthew M. Harkenrider, John C. Roeske

Summary: This study evaluated the impact of various noise reduction algorithms and template matching parameters on the accuracy of markerless tumor tracking using dual-energy imaging. The results showed that noise reduction strategies combined with the optimal selection of band-pass filter parameters can improve the accuracy and TSR of MTT for lung tumors.

JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS (2022)

Editorial Material Oncology

Good Radiosensitizer Hunting

Loren J. Mell, Stuart J. Wong

JOURNAL OF CLINICAL ONCOLOGY (2023)

Editorial Material Oncology

Immunotherapy and Biomarker Testing in Recurrent and Metastatic Head and Neck Cancers: ASCO Guideline Q and A

Emrullah Yilmaz, Nofisat Ismaila, Raetasha Dabney, Nabil F. Saba, Loren K. Mell

JCO ONCOLOGY PRACTICE (2023)

Article Oncology

Dosimetric and workflow impact of synthetic-MRI use in prostate high-dose-rate brachytherapy

Alexander R. Podgorsak, Bhanu P. Venkatesulu, Mohammad Abuhamad, Matthew M. Harkenrider, Abhishek A. Solanki, John C. Roeske, Hyejoo Kang

Summary: The study found that using a deep-learning-based method for synthesizing MRI can improve workflow efficiency in prostate HDR brachytherapy treatment planning, reduce uncertainties in CT-to-MRI registration, without compromising the accuracy of treatment plans and dose control of critical organs.

BRACHYTHERAPY (2023)

Article Radiology, Nuclear Medicine & Medical Imaging

Effect of scattered megavoltage x-rays on markerless tumor tracking using dual energy kilovoltage imaging

Mandeep Kaur, Jason Luce, Mathias Lehmann, Daniel Morf, Liangjia Zhu, Hyejoo Kang, Michal Walczak, Matthew M. Harkenrider, John C. Roeske

Summary: The purpose of this study was to investigate the effect of megavoltage (MV) scatter on the accuracy of markerless tumor tracking (MTT) using dual energy (DE) imaging, and to propose a post-processing technique to mitigate the impact of MV scatter on DE-MTT. The results showed that MV scatter significantly affects the tracking accuracy of lung tumors in DE images. The application of wavelet-FFT filtering can improve the accuracy of DE-MTT.

JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS (2023)

Article Oncology

Optimized Atlas-Based Auto-Segmentation of Bony Structures from Whole-Body Computed Tomography

Lei Gao, Tahir I. Yusufaly, Casey W. Williamson, Loren K. Mell

Summary: This study developed an atlas-based method for fully automated segmentation of bony structures from whole-body CT and evaluated its performance compared to manual segmentation. The results showed that the segmentation method with a postprocessing module had higher accuracy and agreement compared to the method without postprocessing, with lower relative volume errors.

PRACTICAL RADIATION ONCOLOGY (2023)

Article Engineering, Biomedical

Prostate segmentation accuracy using synthetic MRI for high-dose-rate prostate brachytherapy treatment planning

Hyejoo Kang, Alexander R. Podgorsak, Bhanu Prasad Venkatesulu, Anjali L. Saripalli, Brian Chou, Abhishek A. Solanki, Matthew Harkenrider, Steven Shea, John C. Roeske, Mohammed Abuhamad

Summary: This study aims to generate synthetic MRI images with sufficient soft-tissue contrast from CT scans using a generative adversarial network. The accuracy of prostate segmentation on the synthetic MRI images is comparable to that on the real MRI images. The PxCGAN model outperforms other models in terms of soft-tissue contrast. The findings of this study are significant.

PHYSICS IN MEDICINE AND BIOLOGY (2023)

Article Oncology

Dosimetric assessment of brass mesh bolus and transparent polymer-gel type bolus for commonly used breast treatment delivery techniques

Derek A. Fiedler, Sabrina Hoffman, John C. Roeske, Courtney L. Hentz, William Small Jr, Hyejoo Kang

Summary: The study investigated the skin dose enhancements of brass mesh bolus (BMB) and a transparent polymer-gel bolus (PGB) for breast treatment delivery, comparing them to tissue-equivalent bolus. Results showed that BMB and PGB had comparable skin dose enhancements to tissue-equivalent bolus, with BMB resulting in average skin doses of 92.8% and 102.1% for 1- and 2 layers, and PGB resulting in average skin doses of 94.8%, 98.2%, and 99.7% for 3, 5, and 10 mm tissue-equivalent, respectively.

MEDICAL DOSIMETRY (2021)

Article Oncology

Determination of inflection points of CyberKnife dose profiles within acceptability criteria of deviations in measurements

Neslihan Sarigul, Fazli Yagiz Yedekci, Mete Yeginer, Fadil Akyol, Haluk Utku

REPORTS OF PRACTICAL ONCOLOGY AND RADIOTHERAPY (2020)

暂无数据