Barber Foss, K. D., Myer, G. D., Chen, S. S., & Hewett, T. E. (2012). Expected prevalence from the differential diagnosis of anterior knee pain in adolescent female athletes during preparticipation screening. Journal of Athletic Training, 47(5), 519–524.
Article PubMed PubMed Central Google Scholar
Schwartz, A., Watson, J. N., & Hutchinson, M. R. (2015). Patellar tendinopathy. Sports Health: A Multidisciplinary Approach, 7(5), 415–420.
Albers, I. S., Zwerver, J., Diercks, R. L., Dekker, J. H., & van den Akker-Scheek, I. (2016). Incidence and prevalence of lower extremity tendinopathy in a Dutch general practice population: A cross-sectional study. BMC Musculoskeletal Disorders, 17, 16.
Article PubMed PubMed Central Google Scholar
Sprague, A. L., Smith, A. H., Knox, P., Pohlig, R. T., & Silbernagel, K. G. (2018). Modifiable risk factors for patellar tendinopathy in athletes: A systematic review and meta-analysis. British Journal of Sports Medicine, 52(24), 1575–1585.
Article PubMed PubMed Central Google Scholar
Millar, N. L., Silbernagel, K. G., Thorborg, K., Kirwan, P. D., Galatz, L. M., Abrams, G. D., et al. (2021). Tendinopathy. Nature Reviews Disease Primers, 7(1), Article 1.
Coombes, B. K., Mendis, M. D., & Hides, J. A. (2020). Evaluation of patellar tendinopathy using the single leg decline squat test: Is pain location important? Physical Therapy in Sport, 46, 254–259.
Peace, K. A., Lee, J. C., & Healy, J. (2006). Imaging the infrapatellar tendon in the elite athlete. Clinical Radiology, 61(7), 570–578.
Article CAS PubMed Google Scholar
Stenroth, L., Sefa, S., Arokoski, J., & Töyräs, J. (2019). Does magnetic resonance imaging provide superior reliability for Achilles and patellar tendon cross-sectional area measurements compared with ultrasound imaging? Ultrasound in Medicine & Biology, 45(12), 3186–3198.
Marshall, S. J., Hicks, K. M., Howatson, G., Cox, L., & Thomas, K. (2023). B-mode ultrasonography is a reliable and valid alternative to magnetic resonance imaging for measuring patellar tendon cross-sectional area. Ultrasound in Medicine & Biology, 49(2), 578–587.
Rosen, A. B., Wellsandt, E., Nicola, M., & Tao, M. A. (2022). Clinical management of patellar tendinopathy. Journal of Athletic Training, 57(7), 621–631.
Article PubMed PubMed Central Google Scholar
Miller, M. D., Hart, J., & MacKnight, J. M. (2019). Essential orthopaedics. Elsevier Health Sciences.
Salehi, S., Shadmehr, A., Olyaei, G., Bashardoust Tajali, S., Mir, S. M., & Sobhani, V. (2021). Ultrasonographic measurements of plantar fascia thickness and echogenicity in individuals with and without plantar fasciitis: Reliability and group differences. The Foot, 49, 101849.
Park, Y. H., Kim, H. J., Kim, W., Choi, J. W. (2023). Reliability of ultrasound measurement of plantar fascia thickness: a systematic review. Journal of the American Podiatric Medical Association, 113.
Mese, I., Taslicay, C. A., & Sivrioglu, A. K. (2023). Improving radiology workflow using ChatGPT and artificial intelligence. Clinical Imaging, 103, 109993.
Jeong, C. W., Lim, D. W., Noh, S. H., Lee, S. H., & Park, C. (2025). Development of an artificial intelligence-based application for the diagnosis of sarcopenia: A retrospective cohort study using the health examination dataset. BMC Medical Informatics and Decision Making, 25(1), 61.
Article PubMed PubMed Central Google Scholar
Baraboo, J., DiCarlo, A., Berhane, H., Shen, D., Passman, R., Lee, D. C., McCarthy, P. M., Arora, R., Kim, D., & Markl, M. (2025). Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation. International Journal of Cardiovascular Imaging, 41(6), 1197–1208.
Article PubMed PubMed Central Google Scholar
Alyanak, B., Çakar, İ, Dede, B. T., Yıldızgören, M. T., & Bağcıer, F. (2025). Artificial intelligence vs human expertise: A comparison of plantar fascia thickness measurements through MRI imaging. International Journal of Medical Informatics, 181, 105999.
Dede, B. T., Çakar, İ., Oğuz, M., Alyanak, B., Bağcıer, F. (2025). Could a new method of acromiohumeral distance measurement emerge? Artificial intelligence vs. physician. Journal of Imaging Informatics in Medicine, 1–6.
Temel, M. H., Erden, Y., & Bağcıer, F. (2025). Evaluating artificial intelligence performance in medical image analysis: Sensitivity, specificity, accuracy, and precision of ChatGPT-4o on Kellgren-Lawrence grading of knee X-ray radiographs. The Knee, 55, 79–84.
Figueroa, D., Figueroa, F., & Calvo, R. (2016). Patellar tendinopathy: Diagnosis and treatment. Journal of American Academy of Orthopaedic Surgeons, 24(12), e184–e192.
Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163.
Article PubMed PubMed Central Google Scholar
Walter, S. D., Eliasziw, M., & Donner, A. (1998). Sample size and optimal designs for reliability studies. Statistics in Medicine, 17(1), 101–110.
Article CAS PubMed Google Scholar
Arias-Buría, J. L., Fernández-de-Las-Peñas, C., Rodríguez-Jiménez, J., Plaza-Manzano, G., Cleland, J. A., Gallego-Sendarrubias, G. M., et al. (2020). Ultrasound characterization of patellar tendon in non-elite sport players with painful patellar tendinopathy: Absolute values or relative ratios? A pilot study. Diagnostics (Basel), 10(11), 882.
Article PubMed PubMed Central Google Scholar
Toprak, U., Ustüner, E., Uyanık, S., Aktaş, G., Kınıklı, G. I., Baltacı, G., et al. (2012). Comparison of ultrasonographic patellar tendon evaluation methods in elite junior female volleyball players: thickness versus cross-sectional area. Diagnostic and Interventional Radiology, 18(2), 200–207.
Skou, S. T., & Aalkjaer, J. M. (2013). Ultrasonographic measurement of patellar tendon thickness--A study of intra- and interobserver reliability. Clinical Imaging, 37(5), 934–937.
Hiredesai, A. N., Martinez, C. J., Anderson, M. L., Howlett, C. P., Unadkat, K. D., & Noland, S. S. (2026). Is artificial intelligence the future of Radiology? Accuracy of ChatGPT in radiologic diagnosis of Upper Extremity bony pathology. Hand (New York, N.Y.), 21(1), 73–80.
Srivastav, S., Chandrakar, R., Gupta, S., Babhulkar, V., Agrawal, S., Jaiswal, A., et al. (2023). ChatGPT in radiology: The advantages and limitations of artificial intelligence for medical imaging diagnosis. Cureus, 15, e41435.
PubMed PubMed Central Google Scholar
Maniaci, A., Chiesa-Estomba, C. M., & Lechien, J. R. (2024). ChatGPT-4 consistency in interpreting laryngeal clinical images of common lesions and disorders. Otolaryngology - Head and Neck Surgery, 171, 1106–1113.
Hayden, N., Gilbert, S., Poisson, L. M., Griffith, B., & Klochko, C. (2024). Performance of GPT-4 with vision on text- and image-based ACR diagnostic radiology in-training examination questions. Radiology, 312, e240153.
Comments (0)