切换至 "中华医学电子期刊资源库"

中华消化病与影像杂志(电子版) ›› 2024, Vol. 14 ›› Issue (04) : 306 -309. doi: 10.3877/cma.j.issn.2095-2015.2024.04.004

论著

CT肿瘤体积测量参数结合实验室指标对结肠癌术前分期预判的价值
赵文元1,(), 田玉廷2, 张吉海1, 张军3   
  1. 1. 271600 山东省,肥城市人民医院放疗科
    2. 271600 山东省,肥城市人民医院肿瘤科
    3. 271600 山东省,肥城市人民医院影像科
  • 收稿日期:2024-01-31 出版日期:2024-08-01
  • 通信作者: 赵文元

Value of CT tumor volume measurement parameters combined with laboratory indexes in guiding preoperative staging prediction in patients with colon cancer

Wenyuan Zhao1,(), Yuting Tian2, Jihai Zhang1, Jun Zhang3   

  1. 1. Department of Radiotherapy, Feicheng People's Hospital, Feicheng 271600, China
    2. Department of Oncology, Feicheng People's Hospital, Feicheng 271600, China
    3. Department of Imaging, Feicheng People's Hospital, Feicheng 271600, China
  • Received:2024-01-31 Published:2024-08-01
  • Corresponding author: Wenyuan Zhao
引用本文:

赵文元, 田玉廷, 张吉海, 张军. CT肿瘤体积测量参数结合实验室指标对结肠癌术前分期预判的价值[J]. 中华消化病与影像杂志(电子版), 2024, 14(04): 306-309.

Wenyuan Zhao, Yuting Tian, Jihai Zhang, Jun Zhang. Value of CT tumor volume measurement parameters combined with laboratory indexes in guiding preoperative staging prediction in patients with colon cancer[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2024, 14(04): 306-309.

目的

分析结肠癌患者CT肿瘤体积测量参数结合实验室指标在术前分期预判中的应用价值。

方法

选取肥城市人民医院2021年3月至2023年9月收治的75例结肠癌患者。以病理检查结果为金标准,将患者按照pTNM分期分别纳入Ⅰ~Ⅱ期组、Ⅲ~Ⅳ期组。测量各组患者CT肿瘤体积参数,包括肿瘤长度(Tlen)、肿瘤最大径(Tdia)、肿瘤最大面积(Tare)和肿瘤体积(Tvol),并检测血脂、凝血指标、血清白蛋白(ADL)、乳酸脱氢酶与白蛋白比值(LAR)。归纳不同pTNM分期结肠癌患者差异指标,使用受试者工作特征曲线(ROC)绘制各项指标单独及联合评估结肠癌分期的曲线下面积(AUC)并计算预判效能。

结果

75例结肠癌患者中,Ⅰ期11例、Ⅱ期25例、Ⅲ期33例、Ⅳ期6例,Ⅰ~Ⅱ期、Ⅲ~Ⅳ期组基线资料比较,差异无统计学意义(P>0.05)。Ⅰ~Ⅱ期组Tlen、Tdia、Tare、Tvol均较Ⅲ~Ⅳ期组更低(P<0.05)。Ⅰ~Ⅱ期、Ⅲ~Ⅳ期组血脂水平比较,差异无统计学意义(P>0.05),Ⅰ~Ⅱ期组凝血指标(PT、APTT、FIB、D-D)、LAR均较Ⅲ~Ⅳ期组更低(P<0.05)。各项指标联合预判结肠癌患者分期的AUC为0.880,灵敏度、特异性分别为94.44%、82.05%。

结论

结肠癌患者分期的进展伴随着CT肿瘤体积测量参数、凝血指标、LAR的变化,联合上述指标能够为术前分期预判提供可靠参考。

Objective

To analyze the application value of CT tumor volume measurement parameters combined with preoperative laboratory indexes in preoperative staging prediction.

Methods

A total of 75 patients with colon cancer admitted in Feicheng People's Hospital from March 2021 to September 2023 were selected. Taking the pathological examination results as the gold standard, the patients were divided into stage Ⅰ-Ⅱ group and stage Ⅲ-Ⅳ group according to pTNM stages. The parameters of CT tumor volume, including tumor length (Tlen), tumor maximum diameter (Tdia), tumor maximum area (Tare) and tumor volume (Tvol), were measured, and their blood lipids, coagulation indexes and serum albumin (ADL) were detected, and lactate dehydrogenase to albumin ratio (LAR) was calculated. The different indexes of patients with different pTNM stages of colon cancer were summarized, the area under the curve (AUC) of each index to evaluate colon cancer stages individually and jointly were drawn using receiver operating characteristic curve (ROC), and the predictive efficiency was calculated.

Results

Among 75 patients with colon cancer, there were 11 cases in stage Ⅰ, 25 cases in stage Ⅱ, 33 cases in stage Ⅲ and 6 cases in stage Ⅳ. There was no significant difference in baseline data between stage Ⅰ-Ⅱ and stage Ⅲ-Ⅳ groups (P>0.05). Tlen, Tdia, Tare and Tvol in stage Ⅰ-Ⅱ group were lower than those in stage Ⅲ-Ⅳ group (P<0.05). There was no significant difference in blood lipid levels between stage Ⅰ-Ⅱ and stage Ⅲ-Ⅳ groups (P>0.05). The coagulation indexes (PT, APTT, FIB and D-D) and LAR in Ⅰ-Ⅱ stage group were lower than those in Ⅲ-Ⅳ stage group (P<0.05). The AUC of predicting the staging of colon cancer patients by combining all the indexes was 0.880, and the sensitivity and specificity were 94.44% and 82.05%, respectively.

Conclusion

The progress of staging of colon cancer patients is accompanied by the changes of CT tumor volume measurement parameters, coagulation indexes and LAR. The combination of the above indexes can provide reliable reference for preoperative staging prediction.

表1 2组结肠癌患者基线资料比较
表2 2组结肠癌患者CT肿瘤体积测量参数比较(±s
表3 2组结肠癌患者术前实验室指标比较(±s
图1 各项指标预判结肠癌患者分期的ROC曲线
表4 各项指标预判结肠癌患者分期的效能分析(%)
[12]
李亚男, 熊枝繁, 周琦, 等. 外周血纤维蛋白原,血小板与淋巴细胞比值,癌胚抗原在老年结直肠癌中的预测作用研究[J]. 临床内科杂志, 2022, 39(9): 602-606.
[13]
Uludag SS, Sanli AN, Zengin AK, et al. Systemic inflammatory biomarkers as surrogate markers for stage in colon cancer[J]. Am Surg, 2022, 88(6): 1256-1262.
[14]
杜希剑, 余开湖, 章凯敏. 术前高分辨率MRI评估T3期直肠癌新辅助治疗效果[J]. 中国介入影像与治疗学, 2021, 18(9): 548-552.
[15]
Osterman E, Ekström J, Sjöblom T, et al. Accurate population-based model for individual prediction of colon cancer recurrence[J]. Acta Oncol, 2021, 60(10): 1241-1249.
[16]
Lin X, Zhao S, Jiang H, et al. A radiomics-based nomogram for preoperative T staging prediction of rectal cancer[J]. Abdom Radiol, 2021, 46(10): 4525-4535.
[17]
Goiffon RJ, O'Shea A, Harisinghani MG. Advances in radiological staging of colorectal cancer[J]. Clin Radiol, 2021, 76(12): 879-888.
[1]
Olsen ASF, Gundestrup AK, Kleif J, et al. Accuracy of preoperative staging with multidetector computed tomography in colon cancer[J]. Colorect Dis, 2021, 23(3): 680-688.
[2]
Zheng P, Lai C, Yang W, et al. Nomogram predicting cancer-specific survival in elderly patients with stages Ⅰ-Ⅲ colon cancer[J]. Scand J Gastroenterol, 2020, 55(2): 202-208.
[3]
祖亮, 王祖飞, 陈炜越, 等. 18F-FDG-PET/CT联合MRI在预测结直肠癌术前TN分期中的临床价值[J]. 温州医科大学学报, 2021, 51(12): 968-973.
[4]
Hong EK, Landolfi F, Castagnoli F, et al. CT for lymph node staging of Colon cancer: not only size but also location and number of lymph node count[J]. Abdom Radiol, 2021, 46(9): 4096-4105.
[5]
Zhou Y, Han Z, Dou F, et al. Pre-colectomy location and TNM staging of colon cancer by the computed tomography colonography: a diagnostic performance study[J]. World J Surg Oncol, 2021, 19(1): 1-13.
[6]
张茗昱, 杨吉刚, 王振常. 18F-FDG PET/CT代谢参数评估结直肠癌TNM分期的应用研究[J]. 临床和实验医学杂志, 2020, 19(14): 1474-1478.
[7]
Dai W, Mo S, Xiang W, et al. The critical role of tumor size in predicting prognosis for T1 colon cancer[J]. Oncologist, 2020, 25(3): 244-251.
[8]
Dai W, Mo S, Han L, et al. Prognostic and predictive value of radiomics signatures in stage Ⅰ-Ⅲ colon cancer[J]. Clin Tansl Med, 2020, 10(1): 288-293.
[9]
廖乐恩, 潘志忠. 结直肠癌精准外科的综合诊疗[J]. 中国癌症防治杂志, 2023, 15(4): 361-369.
[10]
Karamchandani DM, Chetty R, King TS, et al. Challenges with colorectal cancer staging: results of an international study[J]. Modern Pathol, 2020, 33(1): 153-163.
[11]
邱丽, 谭翠莲, 刘华. 术前NLR, PLR联合血清肿瘤标志物评估结直肠癌患者预后的临床价值[J]. 中国普通外科杂志, 2020, 29(12): 1533-1538.
[1] 马海月, 南晓琴. 网织红细胞百分比/未成熟网织红细胞指数联合胆红素与白蛋白比值对新生儿溶血病的病情评估意义[J]. 中华妇幼临床医学杂志(电子版), 2024, 20(01): 89-96.
[2] 李莉, 马梅, 黄欣欣, 杨丹林, 潘勉. 妊娠期糖尿病早孕期相关影响因素及基于早孕期孕妇糖脂相关生化指标与人口学资料的4种机器学习算法构建妊娠期糖尿病预测模型的临床价值[J]. 中华妇幼临床医学杂志(电子版), 2024, 20(01): 105-113.
[3] 郭仁凯, 武慧铭, 李辉宇. 机器人辅助全系膜切除术治疗右半结肠癌有效性和安全性的Meta分析及试验序贯分析[J]. 中华普通外科学文献(电子版), 2024, 18(03): 234-240.
[4] 聂彬, 赵铁军, 于云宝, 李欢, 谢林峻. 单孔加一孔腹腔镜手术与传统腹腔镜手术治疗乙状结肠癌的疗效与分析[J]. 中华普外科手术学杂志(电子版), 2024, 18(03): 330-333.
[5] 魏微阳, 杨浩, 周川鹏, 王奇, 黄红星, 黄亚强. 纤维蛋白原与白蛋白比值及其列线图模型对非肌层浸润性膀胱癌患者电切术后复发的预测价值[J]. 中华腔镜泌尿外科杂志(电子版), 2024, 18(03): 243-248.
[6] 杨魁, 龚文斌, 余钧辉, 郑见宝, 孙学军, 赵伟. 腹部无辅助切口经阴道拖出标本的腹腔镜右半结肠癌根治术一例(附视频)[J]. 中华结直肠疾病电子杂志, 2024, 13(02): 171-176.
[7] 连彦军, 宋志岗, 范晓斌, 胡延伟, 范现英, 马竞优, 甄金朋, 杨宁豹. 肠减压后腹腔镜手术治疗右半结肠癌合并急性肠梗阻的临床观察[J]. 中华结直肠疾病电子杂志, 2024, 13(02): 129-134.
[8] 陆文琪, 赵艳茹, 李焕娣, 樊欣娜, 王佳, 李萍. 2型糖尿病患者血清SMAD2和SOX6表达及其与蛋白尿的关系[J]. 中华肾病研究电子杂志, 2024, 13(03): 145-151.
[9] 周庆, 杨旭. 甲胎蛋白、纤维蛋白原与前白蛋白比值、癌胚抗原、D-二聚体对结肠癌术后复发的预测价值[J]. 中华消化病与影像杂志(电子版), 2024, 14(04): 301-305.
[10] 高静, 夏婷婷. 血清乳酸脱氢酶、中性粒细胞/淋巴细胞比值、血浆纤维蛋白原/前白蛋白比值对晚期结直肠癌患者姑息化疗效果与不良反应的评价[J]. 中华消化病与影像杂志(电子版), 2024, 14(03): 203-207.
[11] 崔秋子, 姚红曼, 艾迎春. 监测NLR、PLR、CAR、白蛋白、血钙及血糖指标水平对急性胰腺炎患者急性肾损伤的预测价值分析[J]. 中华消化病与影像杂志(电子版), 2024, 14(03): 244-248.
[12] 朱菡, 卓士超, 吴迪, 朱雅楠, 韩佳欣. 术前血浆纤维蛋白原、血脂水平及MMR表达与结直肠癌病理特点及预后的相关性[J]. 中华消化病与影像杂志(电子版), 2024, 14(02): 141-145.
[13] 朱琴琴, 慈娟娟, 崔璐, 许海蓉, 李宇新, 丁炎波. 凝血功能、血脂、C反应蛋白及中性粒细胞/淋巴细胞水平对克罗恩病活动性评估及临床诊断的价值[J]. 中华消化病与影像杂志(电子版), 2024, 14(01): 35-40.
[14] 谢鸿, 李娜, 李尚日, 谢涛. 肠道菌群特征对结肠癌化学治疗疗效的影响[J]. 中华消化病与影像杂志(电子版), 2024, 14(01): 53-56.
[15] 黄志宁, 王高祥, 崔世军, 柳常青, 孙效辉, 徐美青, 解明然. 术前纤维蛋白原与前白蛋白比值对可切除食管鳞癌患者预后的影响[J]. 中华胸部外科电子杂志, 2024, 11(01): 23-30.
阅读次数
全文


摘要