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Use of Normal Tissue Complication Probability Models in the Clinic
Open accessAbstract
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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“A seminal paper by Emami et al. ( 6 ) summarized normal-tissue tolerances to external photon irradiation as they were known in 1991, and these data have been gradually updated and expanded through other initiatives such as Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) and Hypofractionated Treatment Effects in the Clinic (HyTEC) ( 25 , 26 ).”
From Normal-Tissue Tolerance to Radiopharmaceutical Therapies, the Knowns and the Unknowns (2021) · cites this paper as [25]
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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
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
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
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-citationTreatment 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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- Jolles, 1939, Area factor in skin reaction, Br Emp Cancer Campaign Rep, 16
- Niemierko, 1999, A generalized concept of equivalent uniform dose (EUD), Med Phys, 26, 1100
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MethodFan, X., Huang, Y., Xu, P., Min, Y., Li, J., Feng, M., Guohui, X., & Lang, J. (2022) · BMC Cancer · doi:10.1186/s12885-022-09213-z · Cited by 15
“Clinical factors such as host-related (ie, age, smoking, drinking, hypertension, diabetes), tumor-related (ie,tumor stage), and treatmentrelated factors (ie, chemo-therapy, radiation technology) were associated with RIBN [24].”
BackgroundResultHepatotoxicity after liver irradiation in children and adolescents
Rösler, P., Christiansen, H., Kortmann, R., Martini, C., Matuschek, C., Meyer, F., Rübe, C., ten Langer, T. S., Koch, R., Eich, H. T., et al. (2014) · Strahlentherapie und Onkologie · doi:10.1007/s00066-014-0796-9 · Cited by 15
Brouwer, C. L., Wiesendanger, E. M., van der Hulst, P. C., Imhoff, G. W. V., Langendijk, J. A., & Beijert, M. (2012) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2012.06.019 · Cited by 15
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Hauswald, H., Habl, G., Krug, D. A., Kehle, D., Combs, S. E., Bermejo, J. L., Debus, J., & Sterzing, F. (2013) · Radiation Oncology · doi:10.1186/1748-717x-8-234 · Cited by 15
“Dose constraints of normal tissue will be respected according to the quantitative analyses of normal tissue effects in the clinic (QUANTEC) reports [31].”
BackgroundOutcome modeling techniques for prostate cancer radiotherapy: Data, models, and validation
Coates, J. T. T., & Naqa, I. E. (2016) · Physica Medica · doi:10.1016/j.ejmp.2016.02.014 · Cited by 15
“, rectum, spinal cord [59].”
BackgroundMRI morphologic alterations after liver SBRT
Boda‐Heggemann, J., Attenberger, U. I., Budjan, J., Jahnke, A., Jahnke, L., Vogel, L., Simeonova-Chergou, A., Herskind, C., Wenz, F. K., & Lohr, F. (2016) · Strahlentherapie und Onkologie · doi:10.1007/s00066-016-1013-9 · Cited by 15
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“The Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC) guidelines define risk levels for the whole liver, excluding the gross tumor volume [13].”
BackgroundMehta, G. U., Ding, D., Gupta, A., Kano, H., Sisterson, N. D., Martínez-Moreno, N., Kršek, M., Yang, H.-C., Lee, C.-C., Liščák, R., et al. (2018) · Journal of Neuro-Oncology · doi:10.1007/s11060-018-2817-5 · Cited by 12
Chaikh, A., Calugaru, V., Bondiau, P., Thariat, J., & Balosso, J. (2018) · International Journal of Radiation Biology · doi:10.1080/09553002.2018.1486516 · Cited by 15
“For the late radiation damages, the a/b ratio is ranging 2–4Gy (Marks et al. 2010a, 2010b) and (Tsougos et al. 2007).”
BackgroundState‐of‐the‐Art Report: Visual Computing in Radiation Therapy Planning
Schlachter, M., Raidou, R. G., Muren, L. P., Preim, B., Putora, P. M., & Bühler, K. (2019) · Computer Graphics Forum · doi:10.1111/cgf.13726 · Cited by 15
Lee, M., Liu, D., Hung, S., Yu, C., Chi, C.-L., Chiou, W., Chen, L., Lin, R., Huang, L., Chew, C.-H., et al. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.00016 · Cited by 14
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Self-citationKairn, T., Papworth, D., Crowe, S. B., Anderson, J., & Christie, D. (2016) · Medical dosimetry · doi:10.1016/j.meddos.2016.06.006 · Cited by 14
Baek, J. Y., Lim, D. H., Oh, D., Nam, H., Kim, J. J., Lee, J. H., Min, B., & Lee, H. (2021) · Cancer Research and Treatment · doi:10.4143/crt.2021.073 · Cited by 16
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Sasse, A., Oh, P., Saeed, N. A., Yang, D. X., Hayman, T. J., Knowlton, C. A., Peters, G. W., Campbell, A. M., Laird, J. H., Housri, N., et al. (2023) · Practical Radiation Oncology · doi:10.1016/j.prro.2023.11.006 · Cited by 14
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VMAT technique enables concomitant radiotherapy of prostate cancer and pelvic bone metastases
Kiljunen, T., Kangasmäki, A., Aaltonen, A., Kairemo, K., Partanen, K. P. L., Joensuu, G., Alanko, T., Vaalavirta, L., & Joensuu, T. K. (2014) · Acta Oncologica · doi:10.3109/0284186x.2014.962665 · Cited by 14
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Ettinger, D. S., Kimmel, S., Wood, D. E., Akerley, W., Bazhenova, L. A., Borghaei, H., Camidge, D. R., Cheney, R. T., Chirieac, L. R., Jahan, T. M., et al. (2014) · Cited by 14
Bišof, V., Rakušić, Z., Bibić, J., Grego, T., & Soče, M. (2017) · La radiologia medica · doi:10.1007/s11547-017-0824-9 · Cited by 14
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Wahl, N., Hennig, P., Wieser, H., & Bangert, M. (2018) · Medical Physics · doi:10.1002/mp.12775 · Cited by 14
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Poel, R., Stuessi, A., Andratschke, N. H., Unkelbach, J., Tanadini‐Lang, S., Gückenberger, M., & Foerster, R. (2019) · British Journal of Radiology · doi:10.1259/bjr.20190113 · Cited by 14
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Bhattacharyya, T., Koto, M., Windisch, P. Y., Ikawa, H., Hagiwara, Y., Tsuji, H., & Adeberg, S. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.888446 · Cited by 14
“accordance with the Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC) guidelines and German experience (36, 44, 45), is displayed in Table 2.”
MethodDuchesne, G. M., Grand, M., Kron, T., Haworth, A., Corry, J. F., Jackson, M., Ng, M., Besuijen, D., Carter, H. E., Martin, A. J., et al. (2014) · Journal of Medical Imaging and Radiation Oncology · doi:10.1111/1754-9485.12255 · Cited by 14
Radiobiological Modifiers in Clinical Radiation Oncology: Current Reality and Future Potential
Allison, R. R. (2014) · Future Oncology · doi:10.2217/fon.14.174 · Cited by 14
Rout, B. K., Muralidhar, K. R., Ali, M. A., Shekar, M., & Kumar, A. (2014) · International Journal of Cancer Therapy and Oncology · doi:10.14319/ijcto.0204.6 · Cited by 14
The role of protons in modern and biologically-guided radiotherapy
Nyström, H. (2010) · Acta Oncologica · doi:10.3109/0284186x.2010.498436 · Cited by 14
“[3] and probably the QUANTEC data will play an important role in the near future [4].”
BackgroundBrinkhaus, G., Lock, J. F., Malinowski, M. B., Denecke, T., Neuhaus, P., Hamm, B., Gebauer, B., & Stockmann, M. (2014) · Annals of Surgical Oncology · doi:10.1245/s10434-014-3835-y · Cited by 14
Lee, H. C., Kim, S. H., Suh, Y. J., Chung, M. J., Kang, D. G., Choi, H. J., & Lee, J. H. (2014) · Radiation Oncology · doi:10.1186/s13014-014-0244-0 · Cited by 14
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BackgroundDeshpande, R., DeMarco, J. J., Sayre, J. W., & Liu, B. J. (2016) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-016-1403-6 · Cited by 14
“Various independent studies have been conducted over the years to determine the tolerance doses for such critical structures [4,5].”
BackgroundHigby, C., Khafaga, Y., Al‐Shabanah, M., Mousa, A., Ilyas, M., Nazer, G., & Khalil, E. M. (2016) · Journal of the Egyptian National Cancer Institute · doi:10.1016/j.jnci.2016.04.007 · Cited by 14
Wu, C., Motegi, A., Motegi, K., Hotta, K., Kohno, R., Tachibana, H., Kumagai, M., Nakamura, N., Hojo, H., Niho, S., et al. (2016) · Japanese Journal of Clinical Oncology · doi:10.1093/jjco/hyw108 · Cited by 14
“predictors of severe pneumonitis after thoracic radiotherapy (6).”
BackgroundGuimas, V., Thariat, J., Graff-Cailleaud, P., Boisselier, P., Pointreau, Y., Pommier, P., Montbarbon, X., Laude, C., & Racadot, S. (2016) · Cancer/Radiothérapie · doi:10.1016/j.canrad.2016.07.077 · Cited by 14
Cheung, M. K., Ong, S. Y., Goyal, U. D., Wertheim, B. C., Hsu, C. C.-C., & Yi, S. K. (2017) · Cureus · doi:10.7759/cureus.1146 · Cited by 14
Sun, L., Kirkby, C., & Smith, W. L. (2019) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.12571 · Cited by 14
Gou, X., Duan, B., Shi, H., Qin, L., Xiao, J., & Chen, N. (2019) · Head & Neck · doi:10.1002/hed.25986 · Cited by 14
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BackgroundWu, Z., Zhang, J., Shen, X., Zhou, L., Gao, Y., Hu, Y., & Zeng, Z. (2016) · Medical Physics · doi:10.1118/1.4953831 · Cited by 13
Lee, H., Yoon, J., Park, K., Rim, C. H., Chung, M. J., & Seong, J. (2019) · Australasian Physical & Engineering Sciences in Medicine · doi:10.1007/s13246-019-00774-1 · Cited by 13
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Nardone, V., Giugliano, F. M., Reginelli, A., Sangiovanni, A., Mormile, M., Iadanza, L., Cappabianca, S., & Guida, C. (2020) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2020.06.048 · Cited by 13
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Rønde, H. S., Kronborg, C. J. S., Høyer, M., Hansen, J., Bak, M. E., Agergaard, S. N., Als, A. B., Agerbæk, M., Lauritsen, J., Petersen, P. M., et al. (2023) · Acta Oncologica · doi:10.1080/0284186x.2023.2254925 · Cited by 13
Bobić, M., Christensen, J. B., Lee, H., Choulilitsa, E., Czerska, K., Togno, M., Safai, S., Yukihara, E. G., Winey, B. A., Lomax, A., et al. (2024) · Frontiers in Oncology · doi:10.3389/fonc.2023.1333039 · Cited by 13
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Sarkar, B., Manikandan, A., Nandy, M., Munshi, A., Sayan, P., & Sujatha, N. (2016) · Indian Journal of Cancer · doi:10.4103/0019-509x.180820 · Cited by 13
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Scobioala, S., Kittel, C., Niermann, P., Wolters, H., Susek, K. H., Haverkamp, U., & Eich, H. T. (2018) · Strahlentherapie und Onkologie · doi:10.1007/s00066-018-1324-0 · Cited by 13
Hoppen, L., Sarria, G. R., Kwok, C. S., Boda‐Heggemann, J., Buergy, D., Ehmann, M., Giordano, F. A., & Fleckenstein, J. (2023) · Radiation Oncology · doi:10.1186/s13014-023-02222-7 · Cited by 13
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BackgroundHerbert, C., Kwa, W., Nakano, S., James, K., Moiseenko, V., Wu, J., Schellenberg, D. D., & Liu, M. (2013) · Technology in Cancer Research & Treatment · doi:10.7785/tcrt.2012.500338 · Cited by 13
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BackgroundResultGoupy, F., Chajon, É., Castelli, J., Prisé, É. L., Duvergé, L., Jaksic, N., Vogin, G., Monpetit, E., Klein, V. A., de Bosschère, L., et al. (2017) · Cancer/Radiothérapie · doi:10.1016/j.canrad.2017.07.036 · Cited by 13
Gaudino, D., Cima, S., Frapolli, M., Daniele, D., Muoio, B., Pesce, G., Martucci, F., Azinwi, N. C., Bosetti, D. G., Bellesi, L., et al. (2018) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/aac19b · Cited by 13
Role of Germline Genetics in Identifying Survivors at Risk for Adverse Effects of Cancer Treatment
Morton, L. M., Kerns, S. L., & Dolan, M. E. (2018) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_201391 · Cited by 13
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Nath, S. K., Trifiletti, D. M., Zaorsky, N. G., & Rusthoven, C. G. (2019) · Springer eBooks · doi:10.1007/978-3-319-96809-4_3 · Cited by 14
Evolving Role of Stereotactic Body Radiation Therapy in the Management of Spine Metastases
de Moraes, F. Y., Chen, X., Yan, M., Spratt, D. E., Redmond, K., Jackson, W., & Yamada, Y. J. (2020) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2019.12.001 · Cited by 13
Chaikh, A., Thariat, J., Thureau, S., Tessonnier, T., Kammerer, E., Fontbonne, C., Dubray, B. M., Balosso, J., & Fontbonne, J. M. (2020) · Cancer/Radiothérapie · doi:10.1016/j.canrad.2019.12.004 · Cited by 13
Yavaş, G., Yavaş, Ç., Acar, H., Buyukyoruk, A., Çobanoğlu, G., Kerimoğlu, Ö. S., Yavas, O., & Çelık, Ç. (2012) · Physica Medica · doi:10.1016/j.ejmp.2012.11.002 · Cited by 13
Koay, E. J., & Smith, B. D. (2011) · Breast Diseases A Year Book Quarterly · doi:10.1016/j.breastdis.2011.03.016 · Cited by 13
Boisselier, P., Racadot, S., Thariat, J., Graff-Cailleaud, P., & Pointreau, Y. (2016) · Cancer/Radiothérapie · doi:10.1016/j.canrad.2016.08.124 · Cited by 13
A Trans-Agency Workshop on the Pathophysiology of Radiation-Induced Lung Injury
Cassatt, D. R., Gorovets, A., Karimi-Shah, B. A., Roberts, R., Price, P. W., Satyamitra, M. M., Todd, N. F., Wang, S., & Marzella, L. (2021) · Radiation Research · doi:10.1667/rade-21-00127.1 · Cited by 12
“In another study, Marks and colleagues (49) studied the probability of RP developing in cancer patients treated with partial-lung irradiation.”
BackgroundOng, A. L. K., Knight, K. A., Panettieri, V., Dimmock, M., Tuan, J. K. L., Tan, H. Q., & Wright, C. A. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1084311 · Cited by 12
“According to the QUANTEC publication on GU toxicity (36), in view of the extensive volumetric changes of the bladder due to variable bladder filling, it was concluded that both the maximum dose and a relatively large irradiation bladder volume (50%) may be associated with Grade ≥3 late GU toxicity.”
BackgroundQuashie, E. E., Li, X. A., Prior, P., Awan, M. J., Schultz, C. J., & Tai, A. (2023) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ad07f5 · Cited by 12
Masuo, M., Shinohara, E., Kitano, M., Maruta, R., Chonabayashi, S., Endo, S., Matumoto, S., Nishiyama, N., Machitori, Y., & Kobayashi, M. (2023) · Japanese Journal of Clinical Oncology · doi:10.1093/jjco/hyad158 · Cited by 12
Rades, D., Lomidze, D., Jankarashvili, N., López‐Campos, F., Navarro-Martín, A., Šegedin, B., Grošelj, B., Staackmann, C., Kristiansen, C., Dennis, K. E. B., et al. (2024) · Cancers · doi:10.3390/cancers16061149 · Cited by 12
“Gy without exceeding the tolerance dose of the spinal cord of 45–50 Gy [19,20].”
BackgroundGardner, L. L., Thompson, S. J., O’Connor, J. D., & McMahon, S. J. (2024) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ad70f0 · Cited by 12
Reirradiation dose constraints in clinical practice: Results of an international survey
Stroom, J. C., Ayadi, M., Aarberg, A. E., Batel, V., Ceylan, C., Cleary, S., Greco, C., Hoffmann, L., Jackson, A., Kelly, C., et al. (2025) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2025.111030 · Cited by 12
Self-citationAli, M. A., Babaiah, M., Nagaraju, M., & George, G. (2014) · International Journal of Cancer Therapy and Oncology · doi:10.14319/ijcto.0301.9 · Cited by 12
Mechanistic modelling of radiotherapy-induced lung toxicity
Rutkowska, E., Syndikus, I., Baker, C. R., & Nahum, A. E. (2012) · British Journal of Radiology · doi:10.1259/bjr/28365782 · Cited by 12
“To make this possible more quantitative end pointspecific data need to be collected [40–42].”
BackgroundSingh, R., Chufal, K. S., Pahuja, A. K., Tamilarasu, S., Chowdhary, R. L., & Ahmad, I. (2019) · BMJ Case Reports · doi:10.1136/bcr-2018-227036 · Cited by 12
Budia, I., Álvarez-Arenas, A., Woolley, T. E., Calvo, G. F., & Belmonte-Beitia, J. (2019) · Journal of The Royal Society Interface · doi:10.1098/rsif.2019.0665 · Cited by 12
“Specifically, for the brain, a maximum dose below 60 Gy implies a probability of 3% necrosis [10].”
BackgroundRadiotherapeutic treatment options for oligotopic malignant liver lesions
Wust, P., Beck, M., Dabrowski, R., Neumann, O., Zschaeck, S., Kaul, D., Modest, D. P., Stromberger, C., Gebauer, B., & Ghadjar, P. (2021) · Radiation Oncology · doi:10.1186/s13014-021-01779-5 · Cited by 12
Noël, G., Fèvre, C. L., & Antoni, D. (2021) · Cancer/Radiothérapie · doi:10.1016/j.canrad.2021.08.001 · Cited by 12
Radiotherapy of benign intracranial tumours
Dissaux, G., Josset, S., Thillays, F., Lucia, F., Bourbonne, V., Pradier, O., Pasquier, D., & Biau, J. (2021) · Cancer/Radiothérapie · doi:10.1016/j.canrad.2021.08.005 · Cited by 12
Oare, C. C., Sun, S. Y., Dusenbery, K. E., Reynolds, M. A., Koozekanani, D. D., Gerbi, B., & Ferreira, C. (2022) · Physica Medica · doi:10.1016/j.ejmp.2022.08.001 · Cited by 12
“Additionally, incidence rates were provided for doses above and below each structure’s median dose to align with reported QUANTEC dose and incidence rates commonly used in external beam therapy [31].”
MethodKandula, S., Sutter, A. L., Prabhu, R. S., Jegadeesh, N., & Esiashvili, N. (2014) · Pediatric Blood & Cancer · doi:10.1002/pbc.25372 · Cited by 12
“In the case of adults, many well-defined dose-volume parameters for various tissues and organs have materialized [12,13]; however, extrapolation of this data to children is unsatisfactory.”
BackgroundApplication of organ tolerance dose-constraints in clinical studies in radiation oncology
Dörr, W., Herrmann, T., & Baumann, M. A. (2014) · Strahlentherapie und Onkologie · doi:10.1007/s00066-014-0613-5 · Cited by 12
Implementation of a software for REmote COMparison of PARticlE and photon treatment plans: ReCompare
Löck, S., Roth, K., Skripcak, T., Worbs, M., Helmbrecht, S., Jakobi, A., Just, U., Krause, M., Baumann, M. A., Enghardt, W., et al. (2015) · Zeitschrift für Medizinische Physik · doi:10.1016/j.zemedi.2015.02.001 · Cited by 12
Head and neck intensity modulated radiotherapy parotid glands: time of re-planning
Fiorentino, A., Cozzolino, M., Caivano, R., Pedicini, P., Oliviero, C., Chiumento, C., Clemente, S., & Fusco, V. (2013) · La radiologia medica · doi:10.1007/s11547-013-0326-3 · Cited by 12
“The Quantec guidelines were used to evaluate OAR [23].”
MethodJain, A. K., & Yamada, Y. J. (2014) · Expert Review of Anticancer Therapy · doi:10.1586/14737140.2014.940326 · Cited by 12
“2% incidence of myelopathy at a 50 Gy maximum dose level using conventionally fractionated radiotherapy [29].”
BackgroundMiura, H., Inoue, T., Shiomi, H., & Oh, R. (2014) · Journal of Radiation Research · doi:10.1093/jrr/rru107 · Cited by 12
“proposed a new Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) model [16] to help predict clinical outcomes.”
MethodMing, X. G., Feng, Y., Liu, H., Zhang, Y., Zhou, L., & Deng, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144211 · Cited by 12
“Earlier investigations also suggested that the irradiated heart volume and the distance between the heart and the field edge can be used to predict the dose to the heart in the radiotherapy of breast cancer [17, 18, 36].”
BackgroundChakraborty, S., Morris, M. M., Bauer, T. W., Adams, R. B., Stelow, E. B., Petroni, G. R., & Sanoff, H. K. (2014) · Europe PMC (PubMed Central) · Cited by 12
Metadata
- 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
- 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)
- 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
- 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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