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表观扩散系数值在预测非小细胞肺癌病理亚型和分级中的有效性

Effectiveness of Apparent Diffusion Coefficient Values in Predicting Pathologic Subtypes and Grade in Non-Small-Cell Lung Cancer.

作者信息

Cinar Hasibe Gokce, Memis Kemal Bugra, Oztepe Muhammet Firat, Fatihoglu Erdem, Aydin Sonay, Kantarci Mecit

机构信息

Department of Pediatric Radiology, Etlik City Hospital, 06170 Ankara, Turkey.

Department of Radiology, Erzincan Binali Yildirim University, 24100 Erzincan, Turkey.

出版信息

Diagnostics (Basel). 2024 Aug 16;14(16):1795. doi: 10.3390/diagnostics14161795.

Abstract

BACKGROUND AND OBJECTIVE

The aim of this study is to evaluate the effectiveness of apparent diffusion coefficient (ADC) values in predicting pathologic subtypes and grade in non-small-cell lung cancer (NSCLC).

MATERIALS AND METHODS

From January 2018 to March 2020, 48 surgically diagnosed NSCLC cases were included in this study. To obtain ADC values, ADC maps were constructed, and a region of interest was put on the tumor. The values were measured three times from different places of the lesion, and the mean value of these measurements was recorded. All MRI scans were evaluated by two radiologists in consensus.

RESULTS

A total of 14 cases were squamous cell cancer, 32 cases were adenocarcinoma, and 2 cases were large cell carcinoma. The mean ADC values of adenocarcinoma, squamous cell carcinoma, and large cell cancer were 1.51 ± 0.19 × 10 mm/s, 1.32 ± 0.15 × 10 mm/s, and 1.39 ± 0.25 × 10 mm/s, respectively. There were 11 grade 1, 27 grade 2, and 10 grade 3 NSCLC cases. The mean ADC value was 1.44 ± 0.14 × 10 mm/s in grade 1 tumors, 1.25 ± 0.10 × 10 mm/s in grade 2 tumors, and 1.07 ± 0.15 × 10 mm/s in grade 3 tumors. The cut-off value to discriminate grade 2 from grade 1 tumors was 1.31 ± 0.11 × 10 mm/s (85% sensitivity, 75% specificity). The cut-off value to discriminate grade 3 from grade 2 tumors was 1.11 ± 0.15 × 10 mm/s (87% sensitivity, 69% specificity).

CONCLUSIONS

ADC values can accurately predict NSCLC histopathologic subtypes and tumor grade.

摘要

背景与目的

本研究旨在评估表观扩散系数(ADC)值在预测非小细胞肺癌(NSCLC)病理亚型和分级方面的有效性。

材料与方法

2018年1月至2020年3月,本研究纳入48例经手术诊断的NSCLC病例。为获取ADC值,构建了ADC图,并在肿瘤上放置感兴趣区域。从病变的不同部位测量三次该值,并记录这些测量值的平均值。所有MRI扫描均由两位放射科医生共同评估。

结果

共有14例为鳞状细胞癌,32例为腺癌,2例为大细胞癌。腺癌、鳞状细胞癌和大细胞癌的平均ADC值分别为1.51±0.19×10⁻³mm²/s、1.32±0.15×10⁻³mm²/s和1.39±0.25×10⁻³mm²/s。有11例1级、27例2级和10例3级NSCLC病例。1级肿瘤的平均ADC值为1.44±0.14×10⁻³mm²/s,2级肿瘤为1.25±0.10×10⁻³mm²/s,3级肿瘤为1.07±0.15×10⁻³mm²/s。区分2级与1级肿瘤的临界值为1.31±0.11×10⁻³mm²/s(敏感性85%,特异性75%)。区分3级与2级肿瘤的临界值为1.11±0.15×10⁻³mm²/s(敏感性87%,特异性69%)。

结论

ADC值可准确预测NSCLC的组织病理学亚型和肿瘤分级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cdf/11354131/15c1af4ca1b4/diagnostics-14-01795-g001.jpg

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