Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO)

Boldrini, Luca; D’Aviero, Andrea; De Felice, Francesca; Desideri, Isacco; Grassi, Roberta; Greco, Carlo; Iorio, Giuseppe Carlo; Nardone, Valerio; Piras, Antonio; Salvestrini, Viola

doi:10.1007/s11547-023-01708-4

Radiol med

2023

DOI: 10.1007/s11547-023-01708-4

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Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO)

Luca Boldrini,

Andrea D’Aviero,

Francesca De Felice

et al.

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2024

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Cited by 5 publications

References 117 publications

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The continuous improvement of digital assistance in the radiation oncologist’s work: from web-based nomograms to the adoption of large-language models (LLMs). A systematic review by the young group of the Italian association of radiotherapy and clinical oncology (AIRO)

Piras,

Morelli,

Colciago

et al. 2024

Radiol med

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The continuous improvement of digital assistance in the radiation oncologist’s work: from web-based nomograms to the adoption of large-language models (LLMs). A systematic review by the young group of the Italian association of radiotherapy and clinical oncology (AIRO)

Piras,

Morelli,

Colciago

et al. 2024

Radiol med

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Artificial intelligence in fracture detection on radiographs: a literature review

Lo Mastro,

Grassi,

Berritto

et al. 2024

Jpn J Radiol

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Ultrasound Findings After Breast Cancer Radiation Therapy: Cutaneous, Pleural, Pulmonary, and Cardiac Changes

Catalano,

Fusco,

Carriero

et al. 2024

Korean J Radiol

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External beam radiation therapy (RT) can induce toxicity in patients surgically treated for breast cancer. Modern irradiation techniques have lowered the incidence and severity of radiation-induced injuries; however, their side effects on normal tissues remain challenging. This review illustrates early and late changes observed using ultrasound (US) imaging, including echocardiography, at the skin, muscle, pleura, lungs, and heart levels. The US findings and the potential role of this technique in detecting and grading early and late complications of RT are highlighted in this article. US has proven useful in the differential diagnosis of post-RT complications, including but not limited to cancer recurrence and toxicity from other sources, such as anticancer drugs. Additionally, considering the progressive nature of RT-induced injury, early detection of toxicity may be helpful in the individual stratification of damage risk and serve as a tool for patient screening and management. In these cases, US can be used as a radiation-free biomarker of RT side effects at the subclinical stage.

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Artificial intelligence applied to image-guided radiation therapy (IGRT): a systematic review by the Young Group of the Italian Association of Radiotherapy and Clinical Oncology (yAIRO)

Cited by 5 publications

References 117 publications

The continuous improvement of digital assistance in the radiation oncologist’s work: from web-based nomograms to the adoption of large-language models (LLMs). A systematic review by the young group of the Italian association of radiotherapy and clinical oncology (AIRO)

The continuous improvement of digital assistance in the radiation oncologist’s work: from web-based nomograms to the adoption of large-language models (LLMs). A systematic review by the young group of the Italian association of radiotherapy and clinical oncology (AIRO)

Artificial intelligence in fracture detection on radiographs: a literature review

Ultrasound Findings After Breast Cancer Radiation Therapy: Cutaneous, Pleural, Pulmonary, and Cardiac Changes

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