Precision Diffusion-Weighted Imaging of Head and Neck Squamous Cell Carcinoma.

Gloria J Guzmán Pérez-Carrillo, Wenshang Wang, Jingxia Liu, Rachel Reed, Shuang Wu, Maryam Rahmani, Michael Boss, Dariya Malyarenko, Amita Shukla-Dave, Matt Parsons, Trevor Andrews, Hongyu An
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引用次数: 0

Abstract

Background and purpose: Head and neck squamous cell carcinoma (HNSCC) represents a significant global health burden, with over 890,000 new cases annually and approximately 450,000 related deaths worldwide. Our study aims to optimize diffusion-weighted imaging (DWI) sequences for the head and neck and determine reproducibility metrics values for ADC, allowing clinicians to distinguish between genuine physiological changes and measurement errors.

Materials and methods: We optimized the head and neck DWI protocol using QIBA-recommended parameters, high 2000 b-value, Zoom-IT technology, and a Polyvinylpyrrolidone (PVP) phantom calibration. Twenty-six biopsy-proven HNSCC patients underwent pre-treatment "coffee-break" test-retest DWI scans on a Siemens 3T Vida MRI scanner. ADC values were extracted from 46/51 segmented tumor regions (either tumor mass or metastatic lymphadenopathy), and reproducibility measures were assessed using the within-subject coefficient of variation (wCV), repeatability coefficient (RC), and intraclass correlation coefficient (ICC). Bland-Altman plots and correlation analyses were used to evaluate measurement precision. Both manual segmentation by two expert neuroradiologists and semiautomated methods of segmentation were utilized.

Results: Out of 51 identified tumor masses, 46 were included in the final analysis. The Bland-Altman plot revealed minimal bias in ADC values between test-retest scans. The calculated 5.2-5.4% wCV resulted in a repeatability coefficient of 14.4%. The ICC between test and retest measurements was 0.8-0.83, indicating good test-retest reliability. The DICE score between the two expert readers for all parameters indicated excellent agreement between segmentations performed by different readers, with values of 0.991 for the test measurement and 0.976 for the retest measurement.

Conclusions: Our findings support the use of an optimized DWI protocol for accurate and reproducible ADC quantification in HNSCC, which is comparable to or better than the percent repeatability coefficient derived from QIBA Profiles for breast, liver, and prostate, although it is inferior to those for the brain. Further QIB Stage 2-type Profile research is necessary to refine imaging parameters, improve reproducibility markers, and establish DWI as a clinical standard for evaluating HNSCC tumor recurrence.

Abbreviations: BOT=base of tongue. HNC=head and neck cancer. HNSCC= head and neck squamous cell carcinoma. ICC=Intraclass correlation coefficient. QIBA=Qualitative Initiative Biomarker Alliance. QuiC=Quantitative Imaging Committee. LoA= Limits of agreement. RC=repeatability coefficient. SCC=Squamous cell carcinoma. QIB=quantitative imaging biomarkers. wCV=within-lesion coefficient of variation.

头颈部鳞状细胞癌的精密扩散加权成像。
背景和目的:头颈部鳞状细胞癌(HNSCC)是一项重大的全球健康负担,全世界每年有超过89万例新发病例和约45万例相关死亡。我们的研究旨在优化头颈部的弥散加权成像(DWI)序列,并确定ADC的再现性指标值,使临床医生能够区分真实的生理变化和测量误差。材料和方法:我们使用qiba推荐参数、高2000 b值、Zoom-IT技术和聚乙烯吡咯烷酮(PVP)幻影校准优化头颈部DWI方案。26例活检证实的HNSCC患者接受了治疗前“咖啡休息”测试-在西门子3T Vida MRI扫描仪上重新测试DWI扫描。从46/51个分段肿瘤区域(肿瘤肿块或转移性淋巴结病)中提取ADC值,并使用受试者内变异系数(wCV)、可重复性系数(RC)和类内相关系数(ICC)评估再现性措施。采用Bland-Altman图和相关分析评价测量精度。由两名神经放射专家进行人工分割和半自动化分割。结果:经鉴别的51个肿瘤肿块中,有46个纳入最终分析。Bland-Altman图显示测试-重测扫描之间ADC值的最小偏差。计算得到的wCV为5.2 ~ 5.4%,重复性系数为14.4%。测试与重测之间的ICC值为0.8 ~ 0.83,表明测试-重测信度良好。两个专家阅读器在所有参数上的DICE得分表明,不同阅读器进行的分割非常一致,测试测量的值为0.991,重测试测量的值为0.976。结论:我们的研究结果支持在HNSCC中使用优化的DWI方案进行准确和可重复的ADC定量,其可与乳腺、肝脏和前列腺的QIBA谱得出的百分比重复系数相当或更好,尽管不如脑部。进一步开展QIB 2期影像学研究,完善影像学参数,提高再现性标志物,建立DWI作为评估HNSCC肿瘤复发的临床标准。缩写词:BOT=舌根。HNC=头颈癌。头颈部鳞状细胞癌。ICC=类内相关系数。QIBA=定性倡议生物标志物联盟。定量成像委员会。LoA=协议的限制。RC =重复性系数。鳞状细胞癌。定量成像生物标志物。wCV=病变内变异系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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