2014
DOI: 10.1120/jacmp.v15i2.4596
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Prior‐knowledge treatment planning for volumetric arc therapy using feature‐based database mining

Abstract: Treatment planning for volumetric arc therapy (VMAT) is a lengthy process that requires many rounds of optimizations to obtain the best treatment settings and optimization constraints for a given patient's geometry. We propose a feature‐selection search engine that explores previously treated cases of similar anatomy, returning the optimal plan configurations and attainable DVH constraints. Using an institutional database of 83 previously treated cases of prostate carcinoma treated with volumetric‐modulated ar… Show more

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Cited by 28 publications
(27 citation statements)
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“…There are a number of articles that aim to determine beam‐related parameters such as the number and angle of beams and jaw settings …”
Section: Resultsmentioning
confidence: 99%
“…There are a number of articles that aim to determine beam‐related parameters such as the number and angle of beams and jaw settings …”
Section: Resultsmentioning
confidence: 99%
“…Automation of treatment plan development and evaluation is currently a popular topic of research [10][11][12][13][14][15][16]. Many recent studies incorporate anatomical descriptors such as the overlap volume histogram, which quantify: (i) the distance between OARs and the closest PTV surface and (ii) volumetric overlap between the PTV and OARs [14][15][16].…”
Section: Similarity Calculationmentioning
confidence: 99%
“…The decision support module and discussion sections will highlight previous publications and systems related to this work [10][11][12][13][14][15][16][17][18].…”
Section: A Robust Database Integrated With a Web Servermentioning
confidence: 99%
“…It has become widely used as a radiotherapy technique in clinical practice [1][2][3][4][5][6][7][8][9][10][11]. Though, the efficiency of IMRT is dependent on large-scale optimization problems, which may be time consuming and inefficient.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, knowledge of radiation treatment planning has attracted more and more attention in the field of radiotherapy [3][4][5][6][7][8][9][10][11][12][13][14]. For IMRT, Wu in [3] proposed a retrieval method based on geometric information of radiotherapy knowledge for quality control of an IMRT plan; Simari proposed a method to predict dose distribution of new cases of an IMRT plan by applying prior IMRT knowledge in [4].…”
Section: Introductionmentioning
confidence: 99%