Keijnemans Katrinus, Schakel Tim, Lecoeur Bastien, Borman Pim T S, Hall William A, Raaymakers Bas W, Wetscherek Andreas, Paulson Eric S, Fast Martin F
Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
Joint Department of Physics at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, 15 Cotswold Rd, London, SM2 5NG, United Kingdom.
Phys Imaging Radiat Oncol. 2025 Aug 5;35:100815. doi: 10.1016/j.phro.2025.100815. eCollection 2025 Jul.
Managing respiratory motion is essential for effective radiotherapy in the abdominothoracic regions. Respiratory-correlated four-dimensional magnetic resonance imaging (4D-MRI) can provide accurate motion estimation to help define treatment volumes for adaptive radiotherapy. However, validating and comparing 4D-MRI sequences in vivo is challenging due to the presence of breathing variability. This study combines visual biofeedback (VBF) with 4D-MRI sequences to facilitate in vivo comparisons.
Fourteen healthy volunteers and one patient were scanned on a 1.5 T Unity MR-linear accelerator (Elekta AB, Stockholm, Sweden) at two institutions. A radial stack-of-stars (SoS), a simultaneous multi-slice (SMS), and a Cartesian acquisition with spiral ordering (CASPR) 4D-MRI sequence were acquired. These acquisitions were performed without and with VBF based on an interleaved one-dimensional respiratory navigator (1D-RNAV) acquisition. Breathing variability across sequences was quantified using 1D-RNAV-derived breathing waveforms. Reconstructed 4D-MRI data were used to extract the motion amplitude, which was compared intra-volunteer across sequences and to the amplitudes of the breathing waveforms.
Breathing variability across sequences decreased by 37% (amplitude, 0.039) and 64% (period, 0.003), and the median intra-volunteer 4D-MRI-derived motion amplitude agreement improved from 3.5 mm to 1.8 mm ( 0.064) across sequences due to VBF guidance. Four-dimensional MRI-derived amplitudes were smaller than breathing waveform amplitudes, with median differences of -31% (SoS), -17% (SMS), and -9% (CASPR). The average breathing waveform amplitude was 8% larger than instructed.
This methodology enables in vivo comparisons of 4D-MRI sequences for adaptive radiotherapy, with guidance improving anatomical consistency and ensuring more reliable comparisons.
控制呼吸运动对于胸腹部区域的有效放射治疗至关重要。呼吸相关的四维磁共振成像(4D-MRI)能够提供准确的运动估计,以帮助确定适形放疗的治疗体积。然而,由于呼吸变异性的存在,在体内验证和比较4D-MRI序列具有挑战性。本研究将视觉生物反馈(VBF)与4D-MRI序列相结合,以促进体内比较。
在两个机构的1.5T Unity MR直线加速器(瑞典斯德哥尔摩的医科达公司)上对14名健康志愿者和1名患者进行扫描。采集了径向星状堆叠(SoS)、同时多切片(SMS)和螺旋排序笛卡尔采集(CASPR)4D-MRI序列。这些采集在基于交错一维呼吸导航器(1D-RNAV)采集的情况下,分别在无VBF和有VBF时进行。使用源自1D-RNAV的呼吸波形对各序列间的呼吸变异性进行量化。重建的4D-MRI数据用于提取运动幅度,该幅度在志愿者体内各序列间进行比较,并与呼吸波形的幅度进行比较。
由于VBF引导,各序列间的呼吸变异性在幅度上降低了37%(幅度,P=0.039),在周期上降低了64%(周期,P=0.003),并且志愿者体内源自4D-MRI的运动幅度中位数一致性在各序列间从3.5mm提高到了1.8mm(P=0.064)。源自4D-MRI的幅度小于呼吸波形幅度,中位数差异分别为-31%(SoS)、-17%(SMS)和-9%(CASPR)。平均呼吸波形幅度比指令值大8%。
该方法能够在体内对用于适形放疗的4D-MRI序列进行比较,通过引导提高了解剖一致性并确保了更可靠的比较。