Deep learning–based diagnosis of osteoblastic bone metastases and bone islands in computed tomograph images: a multicenter diagnostic study

[1] Woo S(2019)Contribution of radiology to staging of prostate cancer Semin Nucl Med 49 294-301

[2] Ghafoor S(2017)Imaging in the evaluation and follow-up of early and advanced breast cancer: when, why, and how often? Breast 31 318-324

[3] Vargas HA(2021)Comparison of the relative diagnostic performance of [(68)Ga]Ga-DOTA-FAPI-04 and [(18)F]FDG PET/CT for the detection of bone metastasis in patients with different cancers Front Oncol 11 901-907

[4] Bychkovsky BL(2015)Differential diagnosis of osteoblastic metastases from bone islands in patients with lung cancer by single-source dual-energy CT: advantages of spectral CT imaging Eur J Radiol 84 1139-1145

[5] Lin NU(2020)Salt-and-pepper noise sign on fat-fraction maps by chemical-shift-encoded mri: a useful sign to differentiate bone islands from osteoblastic metastases-a preliminary study AJR Am J Roentgenol 214 362-368

[6] Wu J(2016)Distinguishing untreated osteoblastic metastases from enostoses using CT attenuation measurements AJR Am J Roentgenol 207 626-632

[7] Wang Y(2021)Development and validation of a radiomics model for differentiating bone islands and osteoblastic bone metastases at abdominal CT Radiology 299 163-166

[8] Liao T(2019)Why deep-learning AIs are so easy to fool Nature 574 551-553

[9] Dong Y(2020)Deep learning takes on tumours Nature 580 3266-3275

[10] Zheng S(2019)Deep learning predicts lung cancer treatment response from serial medical imaging Clin Cancer Res 25 30-36

[1] Woo S(2019)Contribution of radiology to staging of prostate cancer Semin Nucl Med 49 294-301

[2] Ghafoor S(2017)Imaging in the evaluation and follow-up of early and advanced breast cancer: when, why, and how often? Breast 31 318-324

[3] Vargas HA(2021)Comparison of the relative diagnostic performance of [(68)Ga]Ga-DOTA-FAPI-04 and [(18)F]FDG PET/CT for the detection of bone metastasis in patients with different cancers Front Oncol 11 901-907

[4] Bychkovsky BL(2015)Differential diagnosis of osteoblastic metastases from bone islands in patients with lung cancer by single-source dual-energy CT: advantages of spectral CT imaging Eur J Radiol 84 1139-1145

[5] Lin NU(2020)Salt-and-pepper noise sign on fat-fraction maps by chemical-shift-encoded mri: a useful sign to differentiate bone islands from osteoblastic metastases-a preliminary study AJR Am J Roentgenol 214 362-368

[6] Wu J(2016)Distinguishing untreated osteoblastic metastases from enostoses using CT attenuation measurements AJR Am J Roentgenol 207 626-632

[7] Wang Y(2021)Development and validation of a radiomics model for differentiating bone islands and osteoblastic bone metastases at abdominal CT Radiology 299 163-166

[8] Liao T(2019)Why deep-learning AIs are so easy to fool Nature 574 551-553

[9] Dong Y(2020)Deep learning takes on tumours Nature 580 3266-3275

[10] Zheng S(2019)Deep learning predicts lung cancer treatment response from serial medical imaging Clin Cancer Res 25 30-36