Tanaka Osamu, Taniguchi Takuya, Kiryu Takuji, Maejima Ryoshu, Makita Chiyoko, Matsuo Masayuki
Department of Radiation Oncology, Asahi University Hospital, Gifu 500-8523, Japan.
Department of Radiology, Asahi University Hospital, Gifu 500-8523, Japan.
BJR Case Rep. 2025 Mar 24;11(2):uaaf018. doi: 10.1093/bjrcr/uaaf018. eCollection 2025 Mar.
Setting the echo time to zero allows for the acquisition of bone images that were otherwise difficult to obtain with conventional MRI and clear visualization of CT-like MR images. This technique is mainly useful for detecting compression fractures; however, studies examining bone tumours have been lacking. Furthermore, no reports to date have investigated the usefulness of MRI for evaluating images before and after radiotherapy (RT) for bone tumours. Therefore, plain CT and MRI (T1/T2-weighted image and CT-like MRI) were performed under the same conditions before and after radiation therapy (RT) and examined the obtained images. An 86-year-old man received RT (30 Gy/3 fraction) for painful lumbar metastasis from prostate cancer. At 2 months after RT, no changes in T2-weighted images and plain CT scans were noted, but CT-like MRI showed an increase in the signal inside the bone metastasis. Examining how the images change over time is imperative given the difficulty of predicting the duration of the pain relief effects of RT for bone metastases. Therefore, the current case report explored whether combining various modalities, such as CT and MRI, could predict prognosis. We highlight the importance of investigating whether signal changes are correlated with pain symptoms and whether MRI can be a predictor.
将回波时间设置为零能够获取传统磁共振成像(MRI)难以获得的骨骼图像,并能清晰显示类似计算机断层扫描(CT)的磁共振图像。该技术主要用于检测压缩性骨折;然而,此前缺乏对骨肿瘤的相关研究。此外,迄今为止尚无报告探讨MRI在评估骨肿瘤放疗(RT)前后图像方面的效用。因此,在放射治疗(RT)前后的相同条件下进行了平扫CT和MRI(T1/T2加权图像及类似CT的MRI)检查,并对所得图像进行分析。一名86岁男性因前列腺癌导致的腰椎疼痛转移接受了放疗(30 Gy/3次分割)。放疗后2个月,T2加权图像和平扫CT扫描未见变化,但类似CT的MRI显示骨转移灶内信号增强。鉴于预测骨转移放疗止痛效果持续时间存在困难,研究图像随时间的变化势在必行。因此,本病例报告探讨了联合使用CT和MRI等多种检查方式是否能够预测预后。我们强调了研究信号变化是否与疼痛症状相关以及MRI能否作为预测指标的重要性。