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Table 1 Studies on knowledge-based automated radiotherapy treatment plans

From: Approach and assessment of automated stereotactic radiotherapy planning for early stage non-small-cell lung cancer

 

Database

Site

Prediction method

Dosimetric parameter predictions

Beam angle predictions

Moore [19]

25 IMRT

Head-and-neck prostate

Analytical formulas

Mean doses of esophagus, larynx, parotid gland, bladder and rectum

No

Wu [20]

91 IMRT

Head-and-neck

Minimal dose approximation

Dose-volume objectives for head-and-neck organs

No

Zhu [21]

198 IMRT

Prostate

Machine learning

DVH of bladder and rectum

No

Petit [22]

25 IMRT

Pancreas

Minimal dose approximation

Dose-volume objectives for kidney and liver

No

Yang [24]

21 IMRT

Prostate

Linear regression

Rectal dose D15, D20, D25, D35, D50, and bladder dose D15

No

Nwankwo [25]

95 VMAT

Prostate

Machine learning

Uniformity index, D10, D30, D50, D70 and D90 in bladder and rectum

No

Wang [26]

80 IMRT

Esophagus

Machine learning

Mean heart dose and mean lung dose

No