The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Projected Lifetime Cancer Risks From Current Computed Tomography Imaging
Open accessAbstract
Importance: Approximately 93 million computed tomography (CT) examinations are performed on 62 million patients annually in the United States, and ionizing radiation from CT is a known carcinogen. Objective: To project the number of future lifetime cancers in the US population associated with CT imaging in 2023. Design, Setting, and Participants: This risk model used a multicenter sample of CT examinations prospectively assembled between January 2018 and December 2020 from the University of California San Francisco International CT Dose Registry. Data analysis was conducted from October 2023 to October 2024. Main Outcomes and Measures: Distributions of CT examinations and associated organ-specific radiation doses were estimated by patient age, sex, and CT category and scaled to the US population based on the number of examinations in 2023, quantified by the IMV national survey. Lifetime radiation-induced cancer incidence and 90% uncertainty limits (UL) were estimated by age, sex, and CT category using National Cancer Institute software based on the National Research Council’s Biological Effects of Ionizing Radiation VII models and projected to the US population using scaled examination counts. Results: An estimated 61 510 000 patients underwent 93 000 000 CT examinations in 2023, including 2 570 000 (4.2%) children, 58 940 000 (95.8%) adults, 32 600 000 (53.0%) female patients, and 28 910 000 (47.0%) male patients. Approximately 103 000 (90% UL, 96 400-109 500) radiation-induced cancers were projected to result from these examinations. Estimated radiation-induced cancer risks were higher in children and adolescents, yet higher CT utilization in adults accounted for most (93 000; 90% UL, 86 900-99 600 [91%]) radiation-induced cancers. The most common cancers were lung cancer (22 400 cases; 90% UL, 20 200-25 000 cases), colon cancer (8700 cases; 90% UL, 7800-9700 cases), leukemia (7900 cases; 90% UL, 6700-9500 cases), and bladder cancer (7100 cases, 90% UL, 6000-8500 cases) overall, while in female patients, breast was second most common (5700 cases; 90% UL, 5000-6500 cases). The largest number of cancers was projected to result from abdomen and pelvis CT in adults, reflecting 37 500 of 103 000 cancers (37%) and 30 million of 93 million CT examinations (32%), followed by chest CT (21 500 cancers [21%]; 20 million examinations [21%]). Estimates remained large over a variety of sensitivity analyses, which resulted in a range of 80 000 to 127 000 projected cancers across analyses. Conclusions and Relevance: This study found that at current utilization and radiation dose levels, CT examinations in 2023 were projected to result in approximately 103 000 future cancers over the course of the lifetime of exposed patients. If current practices persist, CT-associated cancer could eventually account for 5% of all new cancer diagnoses annually.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Currently, computed tomography accounts for roughly 15% of diagnostic examinations yet contributes up to 75% of the overall radiation exposure in major hospitals.37–39”
From Computed Tomography Diagnostic Reference Levels Worldwide and in Jordan: Implications for Patient Dose Reduction (2026) · cites this paper as [37]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Siegel, R. L., Giaquinto, A. N., & Jemal, A. (2024) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21820 · Cited by 9,533
Pearce, M. S., Salotti, J. A., Little, M. P., McHugh, K., Lee, C., Kim, K. P., Howe, N. L., Ronckers, C. M., Rajaraman, P., Craft, A. W., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60815-0 · Cited by 3,735
Health Risks from Exposure to Low Levels of Ionizing Radiation:: BEIR VII Phase 2
Earth, D. O. (2006) · CERN Document Server (European Organization for Nuclear Research) · Cited by 2,190
Mathews, J. D., Forsythe, A. V., Brady, Z., Butler, M. W., Goergen, S. K., Byrnes, G. B., Giles, G. G., Wallace, A. B., Anderson, P. R., Guiver, T. A., et al. (2013) · BMJ · doi:10.1136/bmj.f2360 · Cited by 2,029
Projected Cancer Risks From Computed Tomographic Scans Performed in the United States in 2007
de González, A. B. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.440 · Cited by 1,880
Best care at lower cost: the path to continuously learning health care in America
Smith, M. A., Saunders, R., Stuckhardt, L., & McGinnis, J. M. (2014) · Choice Reviews Online · doi:10.5860/choice.51-3277 · Cited by 1,358
Trends in Use of Medical Imaging in US Health Care Systems and in Ontario, Canada, 2000-2016
Smith‐Bindman, R., Kwan, M. L., Marlow, E. C., Theis, M. K., Bolch, W. E., Cheng, S. Y., Bowles, E. J. A., Duncan, J. R., Greenlee, R. T., Kushi, L. H., et al. (2019) · JAMA · doi:10.1001/jama.2019.11456 · Cited by 738
Self-citationAddressing Overutilization in Medical Imaging
Hendee, W. R., Becker, G. J., Borgstede, J. P., Bosma, J. L., Casarella, W. J., Erickson, B. A., Maynard, C. D., Thrall, J. H., & Wallner, P. E. (2010) · Radiology · doi:10.1148/radiol.10100063 · Cited by 622
Bosch de Basea, M., Thierry-Chef, I., Harbron, R., Hauptmann, M., Byrnes, G., Bernier, M.-O., Le Cornet, L., Dabin, J., Ferro, G., Istad, T. S., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02620-0 · Cited by 349
The UF family of reference hybrid phantoms for computational radiation dosimetry
Lee, C., Lodwick, D. L., Hurtado, J., Pafundi, D., Williams, J. L., & Bolch, W. E. (2009) · Physics in Medicine and Biology · doi:10.1088/0031-9155/55/2/002 · Cited by 345
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 383
Caution in Interpreting Results of CT-Cancer Association Study—Reply
Smith‐Bindman, R., de González, A. B., & Miglioretti, D. L. (2025) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2025.4109 · Cited by 2
Self-citationILA or ILD in CTD: the alphabet soup continues
Moor, C. C., Kreuter, M., & Hoffmann‐Vold, A. (2025) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202506-1373le · Cited by 2
Clinical Evaluation of the TBI Assay in a Representative Emergency Department Cohort
Mills, C. M., Roberts, N., Fritsche, K., Merideth, D., & Babić, N. (2025) · The Journal of Applied Laboratory Medicine · doi:10.1093/jalm/jfaf159 · Cited by 2
Radiation effects research foundation—a view to the future
Gray, J. W., & Feinberg, A. P. (2025) · Carcinogenesis · doi:10.1093/carcin/bgaf061 · Cited by 2
Haynes, L., Black, T., Davis, P. J., Oyedokun, T. O., & Trivedi, S. V. (2025) · Canadian Journal of Emergency Medicine · doi:10.1007/s43678-025-01026-w · Cited by 2
Skolarikos, A. A., Geraghty, R. M., Somani, B. K., & Tzelves, L. I. (2025) · European Urology · doi:10.1016/j.eururo.2025.08.023 · Cited by 2
Barbero, J. P. M., Cámara, J. T., Barbosa, B. R., Gutiérrez, P. M. J., Díez, M. G., Muñoz-Negro, J. E., Prados, J. C., & Ramos‐Bossini, A. J. L. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14144925 · Cited by 1
Computed Tomography Is a Risk Factor for Thyroid Cancer
Dream, S. Y. (2025) · Clinical Thyroidology · doi:10.1089/ct.2025;37.245-248 · Cited by 1
Misleading Model: Why the 5% Cancer Risk from Computed Tomography Scans Is Overstated
Chung, J. H., Walker, C. M., Chelala, L., & Kanne, J. P. (2025) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202505-1080vp · Cited by 1
Computed tomography for preoperative shoulder arthroplasty planning: lifetime malignancy risk
Mace, W., Randhawa, A. S., Tse, S., Lee, C. A., Bayne, C. O., Freshman, R. D., & Menendez, M. E. (2025) · Journal of Shoulder and Elbow Surgery · doi:10.1016/j.jse.2025.07.024 · Cited by 1
Caution in Interpreting Results of CT-Cancer Association Study
Dimitroyannis, D. A., & Calabrese, E. J. (2025) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2025.4234 · Cited by 1
MRI Safety Considerations for Permanent Magnet Implants in Muscle
Taylor, C. R., Anttila, E. D., Charlebois, S., Gross, D. C., Taylor, A. F., Negron‐Garcia, J. O., Suckow, C. E., Lyle, L. T., Hooten, S. R., Yeon, S. H., et al. (2025) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.70126 · Cited by 1
Yasui, K., Kasugai, Y., Morishita, M., Saito, Y., Shimizu, H., Uezono, H., & Hayashi, N. (2025) · Radiological Physics and Technology · doi:10.1007/s12194-025-00967-2 · Cited by 1
Toward Improving Knee MRI Image Quality for Single Image Super-resolution
Median, H. (2025) · Journal of Applied Data Sciences · doi:10.47738/jads.v6i4.926 · Cited by 1
Radiation Dose Optimization in a Multicenter CCTA Program
Roedding, R., Gaztañaga, J., Manoushagian, S. J., Opela, D., Lopez‐Mattei, J., & Chazal, R. A. (2025) · JACC Case Reports · doi:10.1016/j.jaccas.2025.105612 · Cited by 1
Tao, W.-T., Huang, T.-W., Hsu, H., Chiang, S.-W., Huang, H.-K., Tsai, W., & Ko, K. (2025) · Clinical Lung Cancer · doi:10.1016/j.cllc.2025.10.006 · Cited by 1
Optimizing Imaging Adherence in Acute Pancreatitis: A Clinical Audit at a District General Hospital
Pal, S., Oxenham, M., Chand, M., & Allu, J. (2025) · Cureus · doi:10.7759/cureus.94967 · Cited by 1
Hepatocellular carcinoma treatment response: Imaging findings and criteria
Agnello, F., Taibbi, A., Galia, M., Orlando, A. A. M., Gagliardo, C., & Bartolotta, T. V. (2025) · World Journal of Radiology · doi:10.4329/wjr.v17.i10.108804 · Cited by 1
Yasaka, K., Wada, M., Tokuyama, K., Takaishi, T., & Abe, O. (2025) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-025-01726-w · Cited by 1
Visina, J., Aday, A. W., Haque, N., Huang, S., McLaren, T. A., Murdock, B. R., & Kim, E. (2025) · Vascular Medicine · doi:10.1177/1358863x251383872 · Cited by 1
Ganie, K. A., Gupta, A., Bhat, A. M., & Sharma, M. (2025) · The Egyptian Journal of Radiology and Nuclear Medicine · doi:10.1186/s43055-025-01651-6 · Cited by 1
Bai, J., Zhang, Q., Wang, S., Wang, H., Yan, K., Zhou, W., Dong, L., & Yang, W. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2025.1722238 · Cited by 1
Macdonald, E. J., Williams, A., Steinberg, R. L., Faust, W. C., Pérez-Londoño, A., & Korets, R. (2026) · Current Urology Reports · doi:10.1007/s11934-025-01311-2 · Cited by 1
Effects of reduced kVp and contrast volume on dose and image quality in canine abdominal CT
Kim, S., Hwang, G., Hwang, T. S., & Lee, H. C. (2026) · Journal of Veterinary Science · doi:10.4142/jvs.25173 · Cited by 1
Dang, P., Feng, Z., Yang, X., Cao, X., Tian, L., Shi, X., Shen, X., Qi, J., Zhong, E., & Wang, J. (2026) · Applied Radiation and Isotopes · doi:10.1016/j.apradiso.2026.112474 · Cited by 1
Martin, J. E., Jones, D. A., Ellis, L., Gray, E., Halliday, K. E., Hiom, S., McPhail, S., Millar, A., & Hamilton, W. (2026) · British Journal of Cancer · doi:10.1038/s41416-025-03331-8 · Cited by 1
Tomographic Foundation Model—FORCE: Flow-Oriented Reconstruction Conditioning Engine
Xia, W., Niu, C., & Wang, G. (2026) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2026.3669463 · Cited by 1
Darbayeva, A., Dautov, T., Nurmanbekov, N., Orazova, G., Musina, A. A., Yelshibayeva, E. S., Мадумарова, З., & Duisenbayeva, B. (2026) · Frontiers in Health Services · doi:10.3389/frhs.2026.1779949 · Cited by 1
Geraldo, A. F., Arrigoni, F., Löbel, U., Righini, A., Severino, M., Argyropoulou, M. I., & Hoffmann, C. (2026) · European Radiology · doi:10.1007/s00330-026-12398-7 · Cited by 1
Klüner, L. V., Zensen, S., der Wiesche, H. A., Ebenau, M., Bos, D., Ocker-Serger, R. J., Yildirim, B., Meetschen, M., Salhöfer, L., Guberina, N., et al. (2026) · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren · doi:10.1055/a-2829-0195 · Cited by 1
Marshall, S. K., Mewes, K., Noomad, N., Durawee, W., & Hayeeabdunromae, A. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1782228 · Cited by 1
Cumulative dose in pediatric CT “frequent flyers”: cohort results and risk review
Westra, S. J., Ferretti, A. E., Marschall, T. A., Li, X., YANG, K., Liu, B., & Rehani, M. M. (2026) · Pediatric Radiology · doi:10.1007/s00247-026-06598-y · Cited by 1
LCPBert: ProtBERT-based early-stage lung cancer prediction from T cell receptor beta sequences
Yang, X., Zhou, Y., Zhang, Z., Luo, H., & Huang, J. H. (2026) · iScience · doi:10.1016/j.isci.2026.115581 · Cited by 1
Gupta, A. K., Kokiwar, P. R., Kavya, A., & Dhyani, A. (2026) · Radioprotection · doi:10.1051/radiopro/2026008 · Cited by 1
WDiffNet: Wavelet diffusion model for low-dose CT reconstruction
Meng, H., Jiang, A., Fan, R., Nan, W., Dang, J., Ge, X., Chang, L., Dong, B., Wang, Z., & Luo, X. (2026) · Digital Signal Processing · doi:10.1016/j.dsp.2026.106105 · Cited by 1
Quantity matters: Impact of PIT deployment on advanced imaging utilization
Thom, C. D., Spirek, B., Mullins, C., & Moak, J. H. (2026) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2026.04.009 · Cited by 1
Muzio, B. P. D., Morgan, B., Darmaputri, R., Woo, A., Perry, C., Jarema, A., Hawkings, P., Cameron, P. A., & Law, M. (2026) · Journal of Medical Imaging and Radiation Oncology · doi:10.1111/1754-9485.70097 · Cited by 1
Wang, T. T., Liang, L., Wilken, N. R., Peacock, Z. S., Warburton, G., Caccamese, J. F., & Lee, C. (2026) · Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.joms.2026.04.007 · Cited by 1
Larios, F., Borras-Osorio, M., Wu, Y., Claros, A. G., Toro-Tobón, D., Cabezas, E., Loor-Torres, R., Chavez, M. M., Guevara, K., Andrango, L. V., et al. (2026) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgag186 · Cited by 1
Wegscheid, M. L., Nigogosyan, Z., Chatterjee, A. R., Raji, C. A., Reis, M. N., Fleege, N. P., Azad, S., Plog, B. A., Ogunlade, J. I., Vellimana, A. K., et al. (2026) · Headache The Journal of Head and Face Pain · doi:10.1111/head.70123 · Cited by 1
A systematic review and meta-analysis of cancer risk in patients with abdominal aortic aneurysm
Zhang, Z., Shu, C., Wang, J., Hu, H., Zhao, J., Huang, B., Vilayphone, V., Zhao, W., He, Y., & Yang, Y. (2026) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2026.04.032 · Cited by 1
Innovative Protocol Optimization for Radiation Dose Reduction in Pediatric Head CT Scan
Caduri, S., Lakovsky, Y., Dar, G., Golan, A., Benyamin, D., Vider, K., Berger‐Achituv, S., & Konen, O. (2026) · European Journal of Radiology · doi:10.1016/j.ejrad.2026.112931 · Cited by 1
Generalizable CT-free PET attenuation and scatter correction via few-shot cross domain adaptation
Wang, H., Wen, M., Qiao, X., Chen, Q., An, Y., Chen, X., Guo, R., Huang, Q., Zhu, X., Cheng, Z., et al. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-02760-w · Cited by 1
Martens, E. S. L., Akerboom, B., Baumgartner, C., Re, B., Cavallaro, C., Coppens, M., Costantino, G., Couturaud, F., D’Errico, A., van Dooren, Y. P. A., et al. (2026) · Thrombosis Research · doi:10.1016/j.thromres.2026.109745 · Cited by 1
Zhang, Y., Luan, J., Xu, Y., Tang, P., Xu, G., Zhu, J., Wang, X., & Hu, L. (2026) · Genes & Diseases · doi:10.1016/j.gendis.2026.102298 · Cited by 1
The call for mastering chest radiography - an urgent priority for training radiologists and trainees
Martínez-Jiménez, S. (2026) · Journal of the Mexican Federation of Radiology and Imaging · doi:10.24875/jmexfri.26000009 · Cited by 1
Lee, C., Toliao, J. M., Guzman, K., Lozano, S., Shah, P., Gonzalez, F., Nelson, M. D., Santoro, J. D., Durazo-Arvizu, R., Doyle, E. K., et al. (2026) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2026.07.022 · Cited by 1
Alshipli, M., Albadarneh, L., Ewaidat, H. A., Lubad, E. A., Said, A. A., Alahmadi, G., Hadi, Y. H., & Bani-Ahmad, M. (2026) · Applied Radiation and Isotopes · doi:10.1016/j.apradiso.2026.112833 · Cited by 1
Russell, K. W., Kahan, A. M., Eldredge, R. S., Larsen, K. E., Swendiman, R. A., Rampton, J. W., Kastenberg, Z. J., Wan, H., Padilla, B. E., Ostlie, D. J., et al. (2026) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0000000000005120 · Cited by 1
Can a cephalogram be used to estimate palatal suture maturity to inform expander selection
Lu, W., Weng, X., Cao, L., Tang, B., Wang, W., He, H., Flores‐Mir, C., Zhao, T., & Hua, F. (2026) · Progress in Orthodontics · doi:10.1186/s40510-026-00641-2 · Cited by 1
Universal CT representations from anatomy to disease phenotype through stage-wise pretraining
Li, Y., Gao, Y., Dong, H., Lai, Y., Wang, S., Safari, M., Baciak, J. E., & Yang, X. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-03343-5 · Cited by 1
Abramson, L., Olive, J. K., Lefler, B., Wu, L., Bowman, A. L., Simpson, T., Vatsaas, C., Yanamadala, M., & Bronshteyn, Y. S. (2025) · Journal of Visualized Experiments · doi:10.3791/68603 · Cited by 1
‘Panscans’ for Trauma in the Emergency Department
Cameron, P. A., & Mitra, B. (2025) · Emergency Medicine Australasia · doi:10.1111/1742-6723.70117 · Cited by 1
Kahan, A. M., Kay, A. B., Glasgow, S. L., Wan, H., Norton, S., Nelson, R. E., Ravindra, V. M., Swendiman, R. A., Kastenberg, Z. J., & Russell, K. W. (2025) · Journal of Pediatric Surgery · doi:10.1016/j.jpedsurg.2025.162763 · Cited by 1
Magnetic Resonance Imaging for Improved Brain Tumor DetectionPreprint
Benyard, B., Soni, N. D., Swain, A., Srivastava, N., Khokhar, S. K., Yehya, N., Fan, Y., Kumar, D., Nanga, R. P. R., Frenneaux, M. P., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.06.652446 · Cited by 1
(2025) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2025.2355 · Cited by 1
A Simple Path Forward to Reducing Excessive Radiation Doses for CT
Smith‐Bindman, R., Seibert, J. A., & Romano, P. S. (2025) · American Journal of Roentgenology · doi:10.2214/ajr.25.33162 · Cited by 1
Self-citationBaranova, E., & Duncan, N. W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.12.675968 · Cited by 1
Imaging Wisely in the Emergency Department
Rovira, À., & Yousry, T. A. (2025) · Neurology · doi:10.1212/wnl.0000000000214443 · Cited by 1
Cancer Risk Associated With Radiological Examinations: 2025 Updates
Hwang, J., Choi, Y. H., & Eo, H. (2025) · Korean Journal of Radiology · doi:10.3348/kjr.2025.1608 · Cited by 1
Oglat, A., Shdaifat, S., Sayah, M., Abukonna, A., & Khogali, W. (2026) · Drug, Healthcare and Patient Safety · doi:10.2147/dhps.s595721
“37–39 In Jordan, although national-level CT usage data is few, existing studies indicate a comparable rise.”
Balancing Quality and Safety: AI-denoised CT for Active Surveillance of Solid Renal Masses
Muglia, V. F. (2025) · Radiology Imaging Cancer · doi:10.1148/rycan.250263
Irradiate awareness: Sociedad Latinoamericana de Radiología Pediátrica (SLARP) Campaign
Cadavid, L. M., & Ugas-Charcape, C. F. (2025) · Pediatric Radiology · doi:10.1007/s00247-025-06296-1
Xiao, Q., Chen, J., & Du, X. (2025) · World Neurosurgery · doi:10.1016/j.wneu.2025.124178
The “Gatekeepers” of Medical Imaging
Keshava, S. N., & Sureka, B. (2025) · Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging · doi:10.1055/s-0045-1809353
Temporal Trends in CT Angiography for Acute Stroke Symptoms
Suh, E. H., Probst, M. A., Eickhoff, K. C., Souza, J. N. D., Khandji, A. G., Miller, E. C., Willey, J. Z., & Chang, B. (2025) · Academic Emergency Medicine · doi:10.1111/acem.70081
Vashistha, N., Singh, S., & Ali, F. (2025) · Cureus · doi:10.7759/cureus.87445
Hammerschlag, Y., Anav, N., Jeroukhimov, I., Amirian, P., & Hershkovitz, Y. (2025) · Research Square · doi:10.21203/rs.3.rs-6808150/v1
Analysis of the Electromagnetic Radiation Emitted by Cosmetic Laser and Light Equipment
Wei, S., Zhou, C., & Huang, L. (2025) · Aesthetic Plastic Surgery · doi:10.1007/s00266-025-05013-5
(2025) · Clinical Thyroidology · doi:10.1089/ct.2025;37.230-toc
Carcinomas ductales in situ, tomografías computarizadas y cáncer. Ejercicios de prudencia
Santaliestra, C. C. (2025) · Actualización en Medicina de Familia · doi:10.55783/amf.210709
Ultrasound Fusion in Interventional Radiology: A Practical Guide to Procedural Applications
York, B. R., Beutler, B. D., Lewis, L. M., Chang, E., Shah, I., Ballard, A., Kazmierski, B. J., Chau, S. S., & Tchelepi, H. (2025) · Journal of Vascular and Interventional Radiology · doi:10.1016/j.jvir.2025.08.016
Mathew, M. (2025) · BDJ · doi:10.1038/s41415-025-9133-1
Imaging surveillance after breast cancer: is it time for risk-stratification?
Bansal, G. J., & Agarwal, H. (2025) · Postgraduate Medical Journal · doi:10.1093/postmj/qgaf149
Computed Tomography Exposure and Risk for Adverse Outcomes in Future Pregnancies
Hardy, S. M. (2025) · Annals of Internal Medicine · doi:10.7326/annals-25-03528
Are CT scans dangerous? A plea for a clinical safety culture in radiation protection
Kainberger, F. (2025) · Wiener klinische Wochenschrift · doi:10.1007/s00508-025-02605-8
Buijs, R., Cornelissen, D. M., Devetzis, D., Lafranca, P. P. G., Le, D., Zhang, J., Veta, M., Vincken, K. L., & Schlösser, T. P. C. (2025) · Healthcare · doi:10.3390/healthcare13182327
Zhang, Z., Hu, Y., Liu, D., Zhang, Y., Qiu, R., Niu, Y., & Wang, Z. (2025) · Chinese Science Bulletin (Chinese Version) · doi:10.1360/csb-2025-5219
Echoes from Within: Mapping Gastrointestinal Obstruction with Ultrasound
Abramson, L., Theophanous, R. G., Lefler, B., Wu, L., Bowman, A. L., Olive, J. K., & Bronshteyn, Y. S. (2025) · Diagnostics · doi:10.3390/diagnostics15192511
Koch, D. T., Hofmann, F. O., Trompoukis, D., Schirren, M., Jacobi, S. J., Seibt, T., Kemmner, S., Scheifele, M., Ilmer, M., Renz, B. W., et al. (2025) · Clinical Transplantation · doi:10.1111/ctr.70338
Chen, X., Chen, Y., Liu, X., Fan, L., & Zhang, D. (2025) · Contemporary Mathematics · doi:10.37256/cm.6520257604
Chung, R., & Kambadakone, A. R. (2025) · American Journal of Roentgenology · doi:10.2214/ajr.25.33988
Loggia, G., Avrumova, F., Burkhard, M. D., KELLY, M. J., Altorfer, F. C. S., Babrowicz, J. C., Lowe, A. S., Zhu, J., Tan, E. T., Chazen, J. L., et al. (2025) · European Spine Journal · doi:10.1007/s00586-026-10277-9
Understanding Cervical Spine Injury Imaging Decision-Making in Pediatric Trauma Patients
Ahmad, F. A., Malone, S. M., Baumann, A. A., Gregory, M. E., Stevens, J. H., Carpenter, C. R., Truelove, A. J., & Leonard, J. C. (2025) · Pediatrics Open Science · doi:10.1542/pedsos.2025-000850
Moore, Z. J., Kahan, A. M., Wan, H., Boulton, T. K., Vettori, G. D., Kastenberg, Z. J., Swendiman, R. A., & Russell, K. W. (2025) · Journal of Pediatric Surgery · doi:10.1016/j.jpedsurg.2025.162762
Misleading concerns about computed tomography scans
Moghanaki, D. M., Prosper, A. E., & Aberle, D. R. (2025) · JNCI Cancer Spectrum · doi:10.1093/jncics/pkaf090
Flanagan, C. P., Gerstley, L. D., Okuhn, S. P., McLenon, M., Lancaster, E. M., Hull, M. M., Bulbule, M. S., Sivamurthy, N., & Chang, R. W. (2025) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2025.10.044
Percutaneous and Non-fluoroscopic Technique Basics: How and Who
Xie, A., Tang, Y., Zhang, F., Dong, J., Wang, C., & Pan, X. (2025) · Journal of Asian Pacific Society of Cardiology · doi:10.15420/japsc.2025.20
Medrano, M., Wang, S., Sun, L., Imran, A.-A.-Z., Cao, J. J., Stevens, G. M., Tse, J. R., & Wang, A. (2025) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ae2181
Razmjou, A. A., & England, B. R. (2025) · Arthritis Care & Research · doi:10.1002/acr.25699
Fukuhara, H., Ichiyanagi, O., Sugiura, A., Kawamura, Y., Midorikawa, S., Kobayashi, T., Kaneko, T., Tsukigi, M., Nomura, R., Ushijima, M., et al. (2025) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2025.11.016
Uso inadecuado y riesgo de sobrediagnóstico en las pruebas de imagen en Atención Primaria
Benejam, J. M. C., Herrera, R. B., & Ricci‐Cabello, I. (2025) · Actualización en Medicina de Familia · doi:10.55783/amf.211004
Alhujaili, S. F., Alrowaili, Z. A., Alshabibi, A. S. A., Alafer, F., Alharbi, R. M., Almuzaini, N., Osman, H., Alselmi, B., Alyami, W. M., & Abuhaimed, A. (2025) · Journal of Radiation Research and Applied Sciences · doi:10.1016/j.jrras.2025.102089
Klaar, R., Begaj, K., Rabe, M., Corradini, S., Eze, C., Belka, C., Sabel, B. O., Landry, G., Kurz, C., & Dinkel, J. (2025) · Physics and Imaging in Radiation Oncology · doi:10.1016/j.phro.2025.100878
Qiu, R., He, S., Chen, J., Tang, X., Li, Z., Huang, M.-Y., Wu, J., & Wei, W. (2025) · Microchemical Journal · doi:10.1016/j.microc.2025.116404
Malík, M., Waczulı́ková, I., Mikula, P., Mižičková, M., Páleník, S., Harmaňošová, E., & Javorka, V. (2025) · Bratislavské lekárske listy/Bratislava medical journal · doi:10.1007/s44411-025-00431-y
Hou, P., Wang, S., Qiu, X., Xie, W., Yin, W., Wang, C., Su, D., Zhu, Y., Xu, R., & Li, J. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c05127
Feldman, D. U., Simons, E., Turchetta, R. A. D., Bofill-Petit, A., & Raible, R. J. (2025) · medRxiv · doi:10.64898/2025.12.01.25341101
Clinical Thyroidology Index (January–December 2025)
(2025) · Clinical Thyroidology · doi:10.1089/ct.2025;37.452-477
Metadata
- Authors
- Smith-Bindman, R., Chu, P. W., Azman Firdaus, H., Stewart, C., Malekhedayat, M., Alber, S., Bolch, W. E., Mahendra, M., Berrington de González, A., & Miglioretti, D. L.
- Affiliations
- Department of Epidemiology and Biostatistics, University of California, San Francisco
- University of California, San Francisco (US)
- University of California, Davis (US)
- University of Florida (US)
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom
- Kaiser Permanente Washington Health Research Institute (US)
- Venue
- JAMA Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2025-06-01
- Volume
- 185
- Issue
- 6
- Pages
- 710
- ISSN
- 2168-6106 (ISSN-L)
- PMC
- PMC11997853
- OpenAlex
- W4409413635
- Cited by
- 358
- References
- 34
- Citations by year
- 2026: 222 · 2025: 136
- FWCI
- 205.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- JAMA Internal Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Kaiser Permanente
- University of California, Davis
- University of California, San Francisco
- National Cancer Institute (R01CA181191)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiation Dose and Imaging
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Effects of Radiation Exposure
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiology practices and education
- Keywords
- computed tomography, ionizing radiation, radiation-induced cancer, lifetime cancer risk, cancer incidence projections, lung cancer, colon cancer, leukemia, pediatric radiation exposure, CT utilization, risk communication, radiation dose reduction, cancer prevention guidelines
- MeSH terms
- Adolescent, Adult, Aged, Child, Child, Preschool, Female, Humans, Male, Middle Aged, Neoplasms, Radiation-Induced, Prospective Studies, Radiation Dosage, Tomography, X-Ray Computed, United States, Incidence, Risk Assessment, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review