Cited by 1,826Advanced Radiotherapy TechniquesRadiation Therapy and DosimetryEffects of Radiation Exposure

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Use of Normal Tissue Complication Probability Models in the Clinic

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Marks, Lawrence B., Yorke, Ellen D., Jackson, Andrew, Ten Haken, Randall K., Constine, Louis S., Eisbruch, Avraham, Bentzen, Søren M., Nam, Jiho, Deasy, Joseph O.·2010·International Journal of Radiation Oncology*Biology*Physics

DOI 10.1016/j.ijrobp.2009.07.1754PMC PMC4041542

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Abstract

The Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) review summarizes the currently available three-dimensional dose/volume/outcome data to update and refine the normal tissue dose/volume tolerance guidelines provided by the classic Emami et al. paper published in 1991. A "clinician's view" on using the QUANTEC information in a responsible manner is presented along with a description of the most commonly used normal tissue complication probability (NTCP) models. A summary of organ-specific dose/volume/outcome data, based on the QUANTEC reviews, is included.

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Tolerance of normal tissue to therapeutic irradiation
Emami, B., Lyman, J., Brown, A., Cola, L., Goitein, M., Munzenrider, J. E., Shank, B., Solin, L. J., & Wesson, M. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90171-y · Cited by 4,488
CTCAE v3.0: development of a comprehensive grading system for the adverse effects of cancer treatment
Trotti, A., Colevas, A. D., Setser, A., Rusch, V. W., Jaques, D. P., Budach, V., Langer, C. J., Murphy, B. A., Cumberlin, R. L., & Coleman, C. N. (2003) · Seminars in Radiation Oncology · doi:10.1016/s1053-4296(03)00031-6 · Cited by 2,569
Fitting of normal tissue tolerance data to an analytic function
Burman, C. M., Kutcher, G. J., Emami, B., & Goitein, M. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90172-z · Cited by 1,251
Reporting and analyzing dose distributions: A concept of equivalent uniform dose
Niemierko, A. (1997) · Medical Physics · doi:10.1118/1.598063 · Cited by 1,231
Clinical dose–volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC)
Graham, M. V., Purdy, J. A., Emami, B., Harms, W. B., Bosch, W. R., Lockett, M. A., & Perez, C. A. (1999) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(99)00183-2 · Cited by 1,221
Complication Probability as Assessed from Dose-Volume Histograms
Lyman, J. T. (1985) · Radiation Research · doi:10.2307/3576626 · Cited by 1,160
Histogram reduction method for calculating complication probabilities for three-dimensional treatment planning evaluations
Kutcher, G. J., Burman, C. M., Brewster, L. J., Goitein, M., & Mohan, R. (1991) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(91)90173-2 · Cited by 560
Complication Probability as Assessed from Dose-Volume Histograms
Lyman, J. T. (1985) · Radiation Research Supplement · doi:10.2307/3583506 · Cited by 537
The Linear-Quadratic Model Is Inappropriate to Model High Dose per Fraction Effects in Radiosurgery
Kirkpatrick, J. P., Meyer, J. J., & Marks, L. B. (2008) · Seminars in Radiation Oncology · doi:10.1016/j.semradonc.2008.04.005 · Cited by 519
Self-citation
Treatment volume and tissue tolerance
Withers, H. R., Taylor, J. M. G., & Maciejewski, B. (1988) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/0360-3016(88)90098-3 · Cited by 446

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Simultaneous integrated boost plan comparison of volumetric‐modulated arc therapy and sliding window intensity‐modulated radiotherapy for whole pelvis irradiation of locally advanced prostate cancer
Riou, O., de la Mothe, P. R., Azria, D., Aillères, N., Dubois, J., & Fenoglietto, P. (2013) · Journal of Applied Clinical Medical Physics · doi:10.1120/jacmp.v14i4.4094 · Cited by 22
“All three techniques permitted to maintain doses to OAR within dose levels recommended by the QUANTEC, with a low risk of side effects.(15) For bladder, although VMAT induced a slight increase of the maximal dose corresponding to hot points inside the PTV overlapping the bladder, there was a substantial gain in the mi…”
Method
Multicentric Assessment of Safety and Efficacy of Combinatorial Adjuvant Brain Metastasis Treatment by Intraoperative Radiation Therapy and Immunotherapy
Layer, J. P., Shiban, E., Brehmer, S., Diehl, C., de Castro, D. G., Hamed, M., Dejonckheere, C. S., Cifarelli, D. T., Friker, L. L., Herrlinger, U., et al. (2024) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2024.01.009 · Cited by 23
A small-scale anatomical dosimetry model of the liver
Stenvall, A., Larsson, E., Strand, S., & Jönsson, B.-A. (2014) · Physics in Medicine and Biology · doi:10.1088/0031-9155/59/13/3353 · Cited by 23
“…organ, fractionated external radiotherapy has shown that radiation-induced liver disease (RILD) can occur a few weeks to three months after a threshold absorbed dose of approximately 30–35 Gy to the whole-liver and has a 5% incidence (Emami et al 1991, ICRP 2012, Pan et al 2010, Marks et al 2010).”
Background
Radiation Oncology: Physics Advances that Minimize Morbidity
Allison, R. R., Patel, R. M., & McLawhorn, R. (2014) · Future Oncology · doi:10.2217/fon.14.176 · Cited by 22
Development, Implementation, and Compliance of Treatment Pathways in Radiation Medicine
Potters, L., Raince, J., Chou, H., Kapur, A., Bulanowski, D., Stanzione, R., & Lee, L. (2013) · Frontiers in Oncology · doi:10.3389/fonc.2013.00105 · Cited by 22
“The pathways were also re-reviewed in 2010 and updated based on the recommendations of the QUANTEC (see text footnote 3) that summarized dimensional dose/volume/outcome data for many organs that were defined in terms of normal tissue dose/volume tolerances (Fowler et al., 1963; Deasy, 2010).”
Method
Dosimetric Analysis of Radiation-induced Gastric Bleeding
Feng, M. U.-S., Normolle, D. P., Pan, C. C., Dawson, L. A., Amarnath, S. R., Ensminger, W. D., Lawrence, T. S., & Haken, R. K. T. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.02.029 · Cited by 22
“Each patient’s gEUD was computed from their normalized isoeffective dose DVH via the generalized mean (8),”
MethodResult
Personalized estimation of dose to red bone marrow and the associated leukaemia risk attributable to pelvic kilo-voltage cone beam computed tomography scans in image-guided radiotherapy
Zhang, Y., Yan, Y., Nath, R., Bao, S., & Deng, J. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/14/4599 · Cited by 22
IsoBED: a tool for automatic calculation of biologically equivalent fractionation schedules in radiotherapy using IMRT with a simultaneous integrated boost (SIB) technique
Bruzzaniti, V., Abate, A., Pedrini, M., Benassi, M., & Strigari, L. (2011) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/1756-9966-30-52 · Cited by 22
Concomitant Imaging Dose and Cancer Risk in Image Guided Thoracic Radiation Therapy
Zhang, Y., Wu, H., Chen, Z., Knisely, J. P. S., Nath, R., Feng, Z., Bao, S., & Deng, J. (2015) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2015.06.034 · Cited by 22
Prospective Pilot Study Comparing the Need for Adaptive Radiotherapy in Unresected Bulky Disease and in Postoperative Patients With Head and Neck Cancer
Mahmoud, O., dos Reis, I. M., Samuels, M., Elsayyad, N., Bossart, E. L., Both, J. A., El-Ghoneimy, E., Moustafa, M., ABDALLAH, M. I., & Takita, C. (2017) · Technology in Cancer Research & Treatment · doi:10.1177/1533034617717624 · Cited by 22
A Monte-Carlo study to assess the effect of 1.5 T magnetic fields on the overall robustness of pencil-beam scanning proton radiotherapy plans for prostate cancer
Kurz, C., Landry, G., Resch, A. F., Dedes, G., Kamp, F., Ganswindt, U., Belka, C., Raaymakers, B. W., & Parodi, K. (2017) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aa8de9 · Cited by 22
Diagnosis and management of brain metastases: an updated review from a radiation oncology perspective
Gutierrez-Valencia, E., Sanchez-Rodriguez, I. E., Ricardo, B.-I., Jesus, F.-L., Alan, R.-M., Inigo, V. A. A., Luis, B.-L., Allan, H. C., Puebla‐Mora, A. G., Liliana, N.-R., et al. (2019) · Journal of Cancer Metastasis and Treatment · doi:10.20517/2394-4722.2019.20 · Cited by 23
“Dose and fractionation for WBRT Dose and fractionation schemes are based, not on the radiation sensitivity of the primary tumor, but rather on the tolerance of healthy brain tissue as described in the QUANTEC report from 2010 (maximum dose [Dmax] of 60 Gy with an estimated rate of symptomatic brain necrosis of 3%)([46…”
Background
Concurrent Chemo-Proton Therapy Using Adaptive Planning for Unresectable Stage 3 Non-Small Cell Lung Cancer: A Phase 2 Study
Iwata, H., Akita, K., Yamaba, Y., Kunii, E., Takakuwa, O., Yoshihara, M., Hattori, Y., Nakajima, K., Hayashi, K., Toshito, T., et al. (2020) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2020.11.035 · Cited by 22
Treatment Outcome with Brachytherapy for Recurrent Nasopharyngeal Carcinoma
Cheah, S. K., Lau, F. N., Yusof, M. M., & Phua, V. C. E. (2013) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2013.14.11.6513 · Cited by 22
NF-κB inhibition by dimethylaminoparthenolide radiosensitizes non-small-cell lung carcinoma by blocking DNA double-strand break repair
Deraska, P. V., O’Leary, C., Reavis, H. D., Labe, S. A., Dinh, T.-K. T., Lazaro, J., Sweeney, C. J., D’Andrea, A. D., & Kozono, D. (2018) · Cell Death Discovery · doi:10.1038/s41420-017-0008-3 · Cited by 22
EANM expert opinion: How can lessons from radiobiology be applied to the design of clinical trials? Part I: back to the basics of absorbed dose–response and threshold absorbed doses
Pouget, J., Gabiña, P. M., Herrmann, K., Deandreis, D., Konijnenberg, M., Taïeb, D., van Leeuwen, F. W. B., Kurth, J., Eberlein, U., Laßmann, M., et al. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-06963-9 · Cited by 24
Mathematical modeling in radiotherapy for cancer: a comprehensive narrative review
Zheng, D., Preuss, K., Milano, M. T., He, X., Gou, L., Shi, Y., Marples, B., Wan, R., Yu, H., Du, H., et al. (2025) · Radiation Oncology · doi:10.1186/s13014-025-02626-7 · Cited by 27
“These models are also often used to examine dose toxicity relationships and have yielded normal tissue dose constraints widely adopted in clinical practice [49, 50].”
A systematic review of health economic evaluations of proton beam therapy for adult cancer: Appraising methodology and quality
Jones, D. A., Smith, J. B. E., Mei, X. W., Hawkins, M., Maughan, T., den Heuvel, F. V., Mee, T., Kirkby, K. J., Kirkby, N. F., & Gray, A. M. (2019) · Clinical and Translational Radiation Oncology · doi:10.1016/j.ctro.2019.10.007 · Cited by 21
Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challenges
Coates, J. T. T., Pirovano, G., & Naqa, I. E. (2021) · Journal of medical imaging · doi:10.1117/1.jmi.8.3.031902 · Cited by 21
“Conversely, the spinal cord is more serial in nature whereby irradiation of one section may compromise inferior compartments.(4) In this way, differences in response according to architecture can better be captured.”
Background
Anorectal dose–effect relations for late gastrointestinal toxicity following external beam radiotherapy for prostate cancer in the FLAME trial
Groen, V. H., Zuithoff, N. P. A., van Schie, M. A., Monninkhof, E. M., Kunze-Busch, M. C., de Boer, H. C. J., van Zyp, J. R. N. V. D. V., Pos, F. J., Smeenk, R. J., Haustermans, K. M., et al. (2021) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2021.06.033 · Cited by 21
Organs-at-risk dose constraints in head and neck intensity-modulated radiation therapy using a dataset from a multi-institutional clinical trial (JCOG1015A1)
Inada, M., Nishimura, Y., Ishikura, S., Ishikawa, K., Murakami, N., Kodaira, T., Ito, Y., Tsuchiya, K., Murakami, Y., Saito, J., et al. (2022) · Radiation Oncology · doi:10.1186/s13014-022-02105-3 · Cited by 21
“The Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC) study, which reviewed and summarized normal tissue toxicity data from clinical trials, provided basic data of dose-volume constraints and clinical goals during radiation treatment planning for physicians and radiation oncologists [7, 8].”
BackgroundResultInfluential
Prognostic Significance of Serum Inflammatory Response Markers in Newly Diagnosed Non-Small Cell Lung Cancer before Chemoirradiation
Tolia, M., Tsoukalas, N., Kyrgias, G., Mosa, E., Maras, A., Kokakis, I., Liakouli, Z., Kouvaris, J., Liaskonis, K., Charalampakis, N., et al. (2015) · BioMed Research International · doi:10.1155/2015/485732 · Cited by 21
“The organs at risk (OARs) and the dose constraints were determined by ICRUReport 62 and QUANTEC [6, 7].”
Method
A feasibility study: Selection of a personalized radiotherapy fractionation schedule using spatiotemporal optimization
Kim, M., Stewart, R. D., & Phillips, M. H. (2015) · Medical Physics · doi:10.1118/1.4934369 · Cited by 21
Low rate of lymphedema after extended pelvic lymphadenectomy followed by pelvic irradiation of node-positive prostate cancer
Rasmusson, E., Gunnlaugsson, A., Blom, R., Björk‐Eriksson, T., Nilsson, P. G., Ahlgen, G., Jönsson, C., Johansson, K. I., & Kjellén, E. (2013) · Radiation Oncology · doi:10.1186/1748-717x-8-271 · Cited by 21
“0 instead of the doctor’s opinion or radiological methods as this grading system is recommended for evaluation of the side effects of radiotherapy [25,26].”
Method
Spatiotemporally Optimal Fractionation in Radiotherapy
Saberian, F., Ghate, A., & Kim, M. (2017) · INFORMS journal on computing · doi:10.1287/ijoc.2016.0740 · Cited by 21
“The tolerance dose values for various normal tissues were similar to [12, 34, 38, 40] and identical to [48].”
BackgroundInfluential
Biodistribution and Dosimetry Results from a Phase 1 Trial of Therapy with the Antibody–Radionuclide Conjugate177Lu-Lilotomab Satetraxetan
Blakkisrud, J., Holtedahl, J. E., Løndalen, A. M., Dahle, J., Bach‐Gansmo, T., Holte, H., Rudå, S. N., Kolstad, A., & Stokke, C. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.195347 · Cited by 21
Volumetric‐modulated arc therapy and intensity‐modulated radiation therapy treatment planning for prostate cancer with flattened beam and flattening filter free linear accelerators
Treutwein, M., Hipp, M., Koelbl, O., & Dobler, B. (2017) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.12168 · Cited by 21
Study for reducing lung dose of upper thoracic esophageal cancer radiotherapy by auto-planning: volumetric-modulated arc therapy vs intensity-modulated radiation therapy
Chen, H., Wang, H., Gu, H., Shao, Y., Cai, X., Fu, X., & Xu, Z. (2017) · Medical dosimetry · doi:10.1016/j.meddos.2017.09.001 · Cited by 21
Evolution and Dosimetric Analysis of Magnetic Resonance Imaging–Detected Brain Stem Injury After Intensity Modulated Radiation Therapy in Nasopharyngeal Carcinoma
Huang, X., Li, Y.-C., Chen, F., Zheng, W., Zhou, G., Lin, L. C., Hu, J., He, W., Zhang, L., Kou, J., et al. (2019) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2019.04.032 · Cited by 21
Normal tissue complication probability models in plan evaluation of children with brain tumors referred to proton therapy
Stokkevåg, C. H., Indelicato, D. J., Herfarth, K. K., Magelssen, H., Evensen, M. E., Ugland, M., Nordberg, T., Nystad, T. A., Hægeland, C., Alsaker, M. D., et al. (2019) · Acta Oncologica · doi:10.1080/0284186x.2019.1643496 · Cited by 21
“For each individual proton plan, a corresponding (6MV) VMAT plan was generated in Eclipse or RayStation (RaySearch Laboratories AB, Stockholm, Sweden) using the original CT simulation, and subsequently approved according to the planning protocol (based on QUANTEC [29] and Dahanca guidelines [30]) by a dosimetrist/medi…”
Method
Feasibility of single vocal cord irradiation as a treatment strategy for T1a glottic cancer
Chung, S. Y., & Lee, C. G. (2019) · Head & Neck · doi:10.1002/hed.26052 · Cited by 21
Carbon ion radiotherapy as definitive treatment in non-metastasized pancreatic cancer: study protocol of the prospective phase II PACK-study
Liermann, J., Naumann, P., Hommertgen, A., Pohl, M., Kieser, M., Debus, J., & Herfarth, K. K. (2020) · BMC Cancer · doi:10.1186/s12885-020-07434-8 · Cited by 21
Comparison of different breast planning techniques and algorithms for radiation therapy treatment
Borges, C., da Cunha, G. N. M. A., Monteiro-Grillo, I., Vaz, P., & Teixeira, N. (2013) · Physica Medica · doi:10.1016/j.ejmp.2013.04.006 · Cited by 21
“adaptations from QUANTEC [55] and RTOG 1005 [56] criteria.”
Method
Brachial plexus dose tolerance in head and neck cancer patients treated with sequential intensity modulated radiation therapy
Thomas, T. O., Refaat, T., Choi, M., Bacchus, I. D., Sachdev, S., RADEMAKER, A. W., Sathiaseelan, V., Karagianis, A. G., & Mittal, B. B. (2015) · Radiation Oncology · doi:10.1186/s13014-015-0409-5 · Cited by 21
“[15] and more recently Quantec [16] note a 5% risk of developing radiation-induced brachial plexopathy at 5 years when one-third, two-thirds, and the whole BP, respectively is treated to 62, 61 and 60 Gy; for a 50% risk at 5 years, the dose tolerances are 77, 76 and 75 Gy respectively.”
Background
Chromosome Damage and Cell Proliferation Rates in In Vitro Irradiated Whole Blood as Markers of Late Radiation Toxicity After Radiation Therapy to the Prostate
Beaton-Green, L. A., Ferrarotto, C., Marro, L., Samiee, S., Malone, S. C., Grimes, S., Malone, K., & Wilkins, R. C. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.09.026 · Cited by 21
Stereotactic body radiotherapy in lung cancer: a contemporary review
Csiki, E., Simon, M., Papp, J., Barabás, M., Mikáczó, J., Gál, K., Sipos, D., & Kov́acs, Á. (2024) · Pathology & Oncology Research · doi:10.3389/pore.2024.1611709 · Cited by 23
From technological advances to biological understanding: The main steps toward high-precision RT in breast cancer
Leonardi, M. C., Ricotti, R., Dicuonzo, S., Cattani, F., Morra, A., Dell’Acqua, V., Orecchia, R., & Jereczek‐Fossa, B. A. (2016) · The Breast · doi:10.1016/j.breast.2016.07.010 · Cited by 20
“1016 radiobiological and mathematical principles, were used to predict the normal tissue complication probability (NTCP) and tumour control probability (TCP), enabling ROs to evaluate the potential treatment outcome [74].”
Method
Adenoid cystic Carcinoma and Carbon ion Only irradiation (ACCO): Study protocol for a prospective, open, randomized, two-armed, phase II study
Lang, K., Adeberg, S., Harrabi, S., Held, T., Kieser, M., Debus, J., & Herfarth, K. K. (2021) · BMC Cancer · doi:10.1186/s12885-021-08473-5 · Cited by 20
“Dose constraints of normal tissue will be respected to QUANTEC reports [12, 13].”
Background
Stereotactic ablative radiotherapy for pulmonary oligometastases from primary hepatocellular carcinoma: a multicenter and retrospective analysis (KROG 17-08)
Jo, I. Y., Park, H. C., Kim, E. S., Yeo, S., Kim, M., Seong, J., Kim, J. W., Kim, T. H., Yoon, W. S., Jeong, B. K., et al. (2022) · Japanese Journal of Clinical Oncology · doi:10.1093/jjco/hyac028 · Cited by 20
Feasibility of CycleGAN enhanced low dose CBCT imaging for prostate radiotherapy dose calculation
Chan, Y., Li, M., Parodi, K., Belka, C., Landry, G., & Kurz, C. (2023) · Physics in Medicine and Biology · doi:10.1088/1361-6560/acccce · Cited by 20
“We aimed at fulfilling the dose-volume histogram (DVH) constraints that are given in theQUANTEC report (Marks et al 2010) for the rectum and the bladder.”
Method
Prediction of Radiation-induced Lymphopenia following Exposure of the Thoracic Region and Associated Risk of Infections and Mortality
Terrones‐Campos, C., Ledergerber, B., Forbes, N., Smith, A. G., Petersen, J., Helleberg, M., Lundgren, J. D., Specht, L., & Vogelius, I. R. (2023) · Clinical Oncology · doi:10.1016/j.clon.2023.04.003 · Cited by 20
“In order to further elucidate how to best administer radiotherapy, it would be of value to identify all relevant structures and include these organ systems in a detailed dose-response model to provide QUANTEC style guidelines for dose volume effects for immune suppression [32].”
Background
Outcome assessment of intraoperative radiotherapy for brain metastases: results of a prospective observational study with comparative matched-pair analysis
Layer, J. P., Hamed, M., Potthoff, A., Dejonckheere, C. S., Layer, K., Sarria, G. R., Scafa, D., Koch, D., Köksal, M. A., Kugel, F., et al. (2023) · Journal of Neuro-Oncology · doi:10.1007/s11060-023-04380-w · Cited by 20
“Tissue Effects in the Clinic) recommendations [33] considering the specific (1.”
Background
Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification
Hosseinian, S., Hemmati, M., Dede, C., Salzillo, T. C., van Dijk, L. V., Mohamed, A., Lai, S. Y., Schaefer, A. J., & Fuller, C. D. (2024) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2024.02.021 · Cited by 20
When is better best? A multiobjective perspective
Phillips, M. H., & Holdsworth, C. H. (2011) · Medical Physics · doi:10.1118/1.3553404 · Cited by 20
A study of IMRT planning parameters on planning efficiency, delivery efficiency, and plan quality
Mittauer, K. E., Lü, B., Yan, G., Kahler, D. L., Gopal, A., Amdur, R. J., & Liu, C. (2013) · Medical Physics · doi:10.1118/1.4803460 · Cited by 20
Near Real-Time Assessment of Anatomic and Dosimetric Variations for Head and Neck Radiation Therapy via Graphics Processing Unit–based Dose Deformation Framework
Qi, X. S., Santhanam, A. P., Neylon, J., Min, Y., Armstrong, T., Sheng, K., Staton, R. J., Pukala, J., Pham, A. Q., Low, D. A., et al. (2015) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2015.01.033 · Cited by 20
Comparing Treatment Plan in All Locations of Esophageal Cancer
Lin, J., Tsai, J., Chang, C.-C., Jen, Y., Li, M.-H., & Liu, W. (2015) · Medicine · doi:10.1097/md.0000000000000750 · Cited by 20
Impact of cervicothoracic region stereotactic spine radiosurgery on adjacent organs at risk
Sharma, M., Bennett, E., Rahmathulla, G., Chao, S. T., Koech, H., Gregory, S. N., Emch, T. M., Magnelli, A., Meola, A., Suh, J. H., et al. (2017) · Neurosurgical FOCUS · doi:10.3171/2016.10.focus16364 · Cited by 20

Authors: Marks, L. B., Yorke, E. D., Jackson, A., Ten Haken, R. K., Constine, L. S., Eisbruch, A., Bentzen, S. M., Nam, J., & Deasy, J. O.
Affiliations: University of North Carolina at Chapel Hill (US)
Memorial Sloan Kettering Cancer Center (US)
University of Rochester Medicine (US)
University of Michigan (US)
University of Wisconsin–Madison (US)
Washington University in St. Louis (US)
Corresponding author: Marks, Lawrence B.
ORCID: Marks, Lawrence B.
Yorke, Ellen D.
Jackson, Andrew
Constine, Louis S.
Eisbruch, Avraham
Bentzen, Søren M.
Nam, Jiho
Deasy, Joseph O.
Venue: International Journal of Radiation Oncology*Biology*Physics
Publisher: Elsevier BV
Published: 2010-03
Volume: 76
Issue: 3
Pages: S10-S19
ISSN: 0360-3016 (ISSN-L)
DOI: 10.1016/j.ijrobp.2009.07.1754
PMC: PMC4041542
OpenAlex: W2046701188
Cited by: 1,826
References: 30
Citations by year: 2026: 92 · 2025: 110 · 2024: 125 · 2023: 132 · 2022: 130 · 2021: 160 · 2020: 138 · 2019: 146 · 2018: 164 · 2017: 122 · 2016: 108 · 2015: 102 · 2014: 112 · 2013: 87 · 2012: 55
FWCI: 56.07
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: International Journal of Radiation Oncology*Biology*Physics (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: Lance Armstrong Foundation
Armstrong Foundation
National Institutes of Health
National Cancer Institute (CA69579, R29CA069579, R29CA085181, R01CA069579, R01CA129182, R01CA085181, CA85181)
Topics: Physical Sciences › Physics and Astronomy › Radiation › Advanced Radiotherapy Techniques
Physical Sciences › Physics and Astronomy › Radiation › Radiation Therapy and Dosimetry
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Effects of Radiation Exposure
Keywords: normal tissue complication probability, QUANTEC, normal tissue tolerance, NTCP models
MeSH terms: Adult, Child, Dose-Response Relationship, Radiation, Humans, Models, Biological, Organ Specificity, Radiation Injuries, Radiation Tolerance, Models, Statistical, Practice Guidelines as Topic, Radiation Oncology, Dose Fractionation, Radiation

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