Kaderka Robert, Xu Yihang, Azzam Gregory, Dogan Nesrin, Butkus Michael P
Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, USA.
Cureus. 2025 Apr 4;17(4):e81708. doi: 10.7759/cureus.81708. eCollection 2025 Apr.
Background Knowledge-based planning (KBP) in radiation therapy aims to improve the plan quality and planning efficiency. Limited training data complicate the development of KBP models for intensity-modulated proton therapy (IMPT). Clinicians face questions such as whether KBP validation is feasible on the training set and if small data sets substantially impact the resulting plan quality. This work describes the development of KBP models for brain IMPT while focusing on these key questions. Materials and methods A hundred and twenty brain IMPT plans were identified and 31 were selected for validation. Three KBP models were trained (a) KBP trained on the 31 validation plans; (b) KBP, an open-loop model with 89 plans excluding the validation set; and (c) KBP, a closed-loop model combining all the 120 plans. The 31 validation cases were re-planned using each KBP model. The resultant KBP plans were compared to manually-generated clinical plans and each other using dosimetric parameters and paired t-tests (p<0.05). Additionally, the manual and KBP plans were evaluated through a blind physician review. Results Dosimetric differences between manual plans and the three KBP models were minimal. The KBP, KBP, and KBP models significantly reduced the clinical volume receiving 105% of the prescribed dose (V105%) to an average of 3.7%, 4.3%, and 4.5%, respectively compared to manual plans showing 15.2%. KBP reduced the mean dose to the left hippocampus (Hippocampus_L D) to 535±630 cGy compared to manual plans showing an average of 790±1077 cGy. The maximum dose to the pituitary gland (pituitary D) for the manual plans was 1992±1951 cGy, which was reduced in both KBP and KBP to 1761±1832 cGy and 1801±1831 cGy, respectively. When the models were compared, KBP reduced the maximum dose to the optic chiasm (chiasm D) to a greater extent than KBP (2813 cGy vs. 2912 cGy, respectively). In the blind physician review, all the KBP plans were considered clinically acceptable. When stating a preference, the physician favored the KBP plans in 12 out of 31 cases. A tie was scored for 13 out of the 31 plans, while the manual plans were preferred in six out of the 31 cases. Conclusion All KBP models produced plans that were dosimetrically comparable to manually-generated reference plans. The blind physician review confirmed that the plans were clinically viable. Minimal dosimetric differences between the three different KBP models for IMPT suggest that KBP training and validation sets can be identical if needed. This finding supports the generation of KBP models for situations where the training data may be limited.
背景 放射治疗中基于知识的计划(KBP)旨在提高计划质量和计划效率。有限的训练数据使强度调制质子治疗(IMPT)的KBP模型开发变得复杂。临床医生面临诸如KBP验证在训练集上是否可行以及小数据集是否会对最终计划质量产生重大影响等问题。这项工作描述了用于脑部IMPT的KBP模型的开发,同时关注这些关键问题。
材料与方法 识别出120个脑部IMPT计划,并选择31个进行验证。训练了三个KBP模型:(a)在31个验证计划上训练的KBP;(b)KBP,一个具有89个计划(不包括验证集)的开环模型;(c)KBP,一个结合所有120个计划的闭环模型。使用每个KBP模型对31个验证病例进行重新计划。将所得的KBP计划与手动生成的临床计划进行比较,并使用剂量学参数和配对t检验(p<0.05)相互比较。此外,通过盲法医生审查对手动计划和KBP计划进行评估。
结果 手动计划与三个KBP模型之间的剂量学差异最小。与显示为15.2%的手动计划相比,KBP、KBP和KBP模型分别将接受105%处方剂量的临床体积(V105%)显著降低至平均3.7%、4.3%和4.5%。与显示平均为790±1077 cGy的手动计划相比,KBP将左侧海马体的平均剂量(海马体_L D)降低至535±630 cGy。手动计划对垂体的最大剂量(垂体D)为1992±1951 cGy,在KBP和KBP中分别降低至1761±1832 cGy和1,801±1831 cGy。当比较这些模型时,KBP将对视交叉的最大剂量(视交叉D)降低的程度比KBP更大(分别为2813 cGy和2912 cGy)。在盲法医生审查中,所有KBP计划都被认为在临床上是可接受的。在表明偏好时,医生在31例中有12例更喜欢KBP计划。31个计划中有13个打成平手,而在31例中有6例更喜欢手动计划。
结论 所有KBP模型生成的计划在剂量学上与手动生成的参考计划相当。盲法医生审查证实这些计划在临床上是可行的。IMPT的三种不同KBP模型之间的剂量学差异最小,这表明如果需要,KBP训练集和验证集可以相同。这一发现支持在训练数据可能有限的情况下生成KBP模型。