Darçot Emeline, Jreige Mario, Rotzinger David C, Gidoin Tuyet Van Stacey, Casutt Alessio, Delacoste Jean, Simons Julien, Long Olivier, Buela Flore, Ledoux Jean-Baptiste, Prior John O, Lovis Alban, Beigelman-Aubry Catherine
Department of Diagnostic and Interventional Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Faculty of Biology and Medicine, University of Lausanne (UNIL), Lausanne, Switzerland.
Front Med (Lausanne). 2022 Apr 28;9:858731. doi: 10.3389/fmed.2022.858731. eCollection 2022.
Computed tomography (CT) lung nodule assessment is routinely performed and appears very promising for lung cancer screening. However, the radiation exposure through time remains a concern. With the overall goal of an optimal management of indeterminate lung nodules, the objective of this prospective study was therefore to evaluate the potential of optimized ultra-short echo time (UTE) MRI for lung nodule detection and volumetric assessment.
Eight (54.9 ± 13.2 years) patients with at least 1 non-calcified nodule ≥4 mm were included. UTE under high-frequency non-invasive ventilation (UTE-HF-NIV) and in free-breathing at tidal volume (UTE-FB) were investigated along with volumetric interpolated breath-hold examination at full inspiration (VIBE-BH). Three experienced readers assessed the detection rate of nodules ≥4 mm and ≥6 mm, and reported their location, 2D-measurements and solid/subsolid nature. Volumes were measured by two experienced readers. Subsequently, two readers assessed the detection and volume measurements of lung nodules ≥4mm in gold-standard CT images with soft and lung kernel reconstructions. Volumetry was performed with lesion management software (Carestream, Rochester, New York, USA).
UTE-HF-NIV provided the highest detection rate for nodules ≥4 mm ( = 66) and ≥6 mm ( = 32) (35 and 50%, respectively). No dependencies were found between nodule detection and their location in the lung with UTE-HF-NIV ( > 0.4), such a dependency was observed for two readers with VIBE-BH ( = 0.002 and 0.03). Dependencies between the nodule's detection and their size were noticed among readers and techniques ( < 0.02). When comparing nodule volume measurements, an excellent concordance was observed between CT and UTE-HF-NIV, with an overestimation of 13.2% by UTE-HF-NIV, <25%-threshold used for nodule's growth, conversely to VIBE-BH that overestimated the nodule volume by 28.8%.
UTE-HF-NIV is not ready to replace low-dose CT for lung nodule detection, but could be used for follow-up studies, alternating with CT, based on its volumetric accuracy.
计算机断层扫描(CT)肺部结节评估是常规进行的,在肺癌筛查方面似乎非常有前景。然而,随着时间推移的辐射暴露仍是一个问题。因此,这项前瞻性研究的目的是评估优化的超短回波时间(UTE)磁共振成像(MRI)在肺结节检测和体积评估方面的潜力,总体目标是对不确定的肺结节进行最佳管理。
纳入了8名(年龄54.9±13.2岁)至少有1个≥4mm非钙化结节的患者。研究了高频无创通气下的UTE(UTE-HF-NIV)、潮气量自由呼吸时的UTE(UTE-FB)以及全吸气时的容积内插屏气检查(VIBE-BH)。三名经验丰富的阅片者评估了≥4mm和≥6mm结节的检出率,并报告其位置、二维测量结果以及实性/亚实性特征。体积由两名经验丰富的阅片者测量。随后,两名阅片者在具有软组织和肺内核重建的金标准CT图像中评估≥4mm肺结节的检测和体积测量。使用病变管理软件(Carestream,美国纽约罗切斯特)进行容积测量。
UTE-HF-NIV对≥4mm(n = 66)和≥6mm(n = 32)结节的检出率最高(分别为35%和50%)。对于UTE-HF-NIV,未发现结节检测与其在肺内位置之间存在相关性(p>0.4),而对于两名阅片者在VIBE-BH检查中观察到这种相关性(p = 0.002和0.03)。在阅片者和技术之间注意到结节检测与其大小之间存在相关性(p<0.02)。比较结节体积测量时,观察到CT与UTE-HF-NIV之间具有极好的一致性,UTE-HF-NIV高估了13.2%,低于用于结节生长的25%阈值,相反,VIBE-BH高估了结节体积28.8%。
UTE-HF-NIV尚不能取代低剂量CT用于肺结节检测,但基于其容积准确性,可与CT交替用于随访研究。