ISSN 1004-4140
CN 11-3017/P
| Citation: |
LI M M, FU Y G, XIAO Y, et al. CT Radiomics Nomogram Prediction for Tumor Deposits and Prognosis in Colorectal Cancer[J]. CT Theory and Applications, xxxx, x(x): 1-10. DOI: 10.15953/j.ctta.2024.055. (in Chinese).
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Objective: To establish CT radiomics nomogram for preoperative prediction of tumor deposits (TD) and recurrence-free survival (RFS) in patients with colorectal cancer (CRC). Methods: A retrospective study was conducted on 321 CRC patients confirmed by surgical pathology. The patients' data were divided were divided into a training set and a validation set at a ratio of 6:4, respectively. Radiomics features based on the primary tumor site were extracted from portal venous phase CT images, and the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm was employed to select radiomics features associated with tumor deposits (TD). The least absolute shrinkage and selection operator (LASSO) regression algorithm was applied to choose radiomics features related to TD. A clinical-radiomics nomogram was developed based on the selected radiomics features and the most predictive clinical factors. Univariate and multivariate Cox regression analyses identified independent risk factors for a 3-year RFS. Results: The radiomics model achieved an area under the curve (AUC) of 0.80 in the training set and 0.79 in the validation set. By integrating radiomics features with clinical predictors (CEA, CA199, and CT-reported lymph node status), a nomogram was developed for the preoperative prediction of TD. The nomogram achieved an AUC of 0.85 in the training and validation sets. Furthermore, TD predicted by the nomogram was an independent risk factor for RFS, with poorer RFS observed in the TD-positive group compared to the TD-negative group. Conclusion: CT radiomics nomogram can effectively preoperatively predict TD and prognosis in CRC patients.
| [1] |
SIEGEL R L, MILLER K D, FUCHS H E, et al. Cancer statistics, 2022[J]. CA: A Cancer Journal for Clinicians, 2022, 72(1): 7−33. DOI: 10.3322/caac.21708.
|
| [2] |
RYU H S, KIM J, PARK Y R, et al. Recurrence patterns and risk factors after curative resection for colorectal cancer: Insights for postoperative surveillance strategies[J]. Cancers (Basel), 2023, 15(24): 5791. DOI: 10.3390/cancers15245791.
|
| [3] |
DELATTRE J F, Selcen Oguz Erdogan A, COHEN R, et al. A comprehensive overview of tumour deposits in colorectal cancer: Towards a next TNM classification[J]. Cancer Treatment Reviews, 2022, 103: 102325. DOI: 10.1016/j.ctrv.2021.102325.
|
| [4] |
MOON J Y, LEE M R, HA G W. Prognostic value of tumor deposits for long-term oncologic outcomes in patients with stage III colorectal cancer: a systematic review and meta-analysis[J]. International Journal of Colorectal Disease, 2022, 37(1): 141−151. DOI: 10.1007/s00384-021-04036-z.
|
| [5] |
PRICOLO V E, STEINGRIMSSON J, MCDUFFIE T J, et al. Tumor deposits in stage III colon cancer: Correlation with other histopathologic variables, prognostic value, and risk stratification-time to consider “N2c”[J]. American Journal of Clinical Oncology, 2020, 43(2): 133−138. DOI: 10.1097/COC.0000000000000645.
|
| [6] |
AMIN M B, GREENE F L, EDGE S B, et al. The eighth edition AJCC cancer staging manual: Continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging[J]. CA: A Cancer Journal for Clinicians, 2017, 67(2): 93−99. DOI: 10.3322/caac.21388.
|
| [7] |
RATTO C, RICCI R, ROSSI C, et al. Mesorectal microfoci adversely affect the prognosis of patients with rectal cancer[J]. Diseases of the Colon and Rectum, 2002, 45(6): 733−743. DOI: 10.1007/s10350-004-6288-8.
|
| [8] |
ZHANG L N, XIAO W W, XI S Y, et al. Tumor deposits: Markers of poor prognosis in patients with locally advanced rectal cancer following neoadjuvant chemoradiotherapy[J]. Oncotarget, 2016, 7(5): 6335−6344. DOI: 10.18632/oncotarget.6656.
|
| [9] |
SHI M, ZHANG H, YAO G, et al. The role of tumor deposits in predicting the efficacy of chemotherapy in stage III colon cancer[J]. Frontiers in Oncology, 2020,10: 586603. Published 2020 Oct 14.
|
| [10] |
ROLLVEN E, ABRAHAM-NORDLING M, HOLM T, et al. Assessment and diagnostic accuracy of lymph node status to predict stage III colon cancer using computed tomography[J]. Cancer Imaging, 2017, 17(1): 3. DOI: 10.1186/s40644-016-0104-2.
|
| [11] |
ROLLVEN E, BLOMQVIST L, OISTAMO E, et al. Morphological predictors for lymph node metastases on computed tomography in colon cancer[J]. Abdominal Radiology (NY), 2019, 44(5): 1712−1721. DOI:10.1007/ s00261-019-01900-z.
|
| [12] |
CHEN L D, LI W, XIAN M F, et al. Preoperative prediction of tumour deposits in rectal cancer by an artificial neural network-based US radiomics model[J]. European Radiology, 2020, 30(4): 1969−1979. DOI: 10.1007/s00330-019-06558-1.
|
| [13] |
YANG Y S, FENG F, QIU Y J, et al. High-resolution MRI-based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal cancer[J]. Abdominal Radiology, 2021, 46(3): 873−884. DOI: 10.1007/s00261-020-02733-x.
|
| [14] |
MIZUNO H, MIYAKE H, NAGAI H, et al. Optimal cutoff value of preoperative CEA and CA19-9 for prognostic significance in patients with stage II/III colon cancer[J]. Langenbeck's Archives of Surgery, 2021, 406(6): 1987−1997. DOI: 10.1007/s00423-021-02236-3.
|
| [15] |
SHAN J, GU B, SHI L, et al. Prognostic value of CEA and CA19-9 in patients with local advanced rectal cancer receiving neoadjuvant chemoradiotherapy, radical surgery and postoperative chemotherapy[J]. Translational Cancer Research, 2021, 10(1): 88−98. DOI: 10.21037/tcr-20-2269.
|
| [16] |
LONG Q, XU Y, MA G, et al. Prognostic value of tumor deposit counts in patients with stage III colorectal cancer: A population-based study[J]. Journal of Investigative Surgery, 2022, 35(7): 1502−1509. DOI: 10.1080/08941939.2022.2069306.
|
| 1. |
邵建文，李晓华. 128层螺旋CT诊断急性胸腹部创伤的临床观察. 中国继续医学教育. 2020(03): 54-56 .
| |
| 2. |
席浩，王保富. 外伤性脾破裂非手术治疗临床体会. 中国医学工程. 2020(03): 94-95 .
| |
| 3. |
杨明，刘宁，王星. CT增强扫描对胆囊息肉样病变的综合诊断价值分析. 肝胆外科杂志. 2020(03): 204-207 .
| |
| 4. |
黄悦，赵庆，范廷艳. 多层螺旋CT诊断急性胸腹部创伤的临床价值评价. 黑龙江中医药. 2020(03): 35-36 .
| |
| 5. |
李松. 腹部创伤的CT诊断价值与CT表现. 中国误诊学杂志. 2020(06): 262-264 .
| |
| 6. |
许顺，吴文滔，黄镭. 增强CT在腹部创伤临床诊断中的应用分析. 中国现代药物应用. 2019(03): 34-35 .
| |
| 7. |
李晓星. 预见性干预措施应用于肝外伤肝叶切除术患者术后疼痛的影响. 首都食品与医药. 2019(12): 182 .
| |
| 8. |
赵维方. 急诊胸腹部创伤诊断中DR与螺旋CT的应用价值. 系统医学. 2019(12): 4-6 .
| |
| 9. |
刘涛，鄢龙，吴光耀，明建中，相呈县，尚许彬. 增强CT在检测急诊腹盆部创伤患者出血中的应用. CT理论与应用研究. 2019(04): 493-498 .
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| 10. |
崔小木，曾焕华，黄灿斌，高银好. 空气灌肠、经腹壁彩超与CT平扫对小儿肠套叠的诊断及临床应用价值分析. 中国CT和MRI杂志. 2019(10): 124-126 .
| |
| 11. |
张泽键，王细生，陈栋，彭乃雄，邓灵，刘云飞，杨江根. 多层螺旋CT增强扫描对肾损伤的诊断价值. 中华腔镜泌尿外科杂志(电子版). 2019(05): 321-324 .
| |
| 12. |
伊华军，洪志平，姚建军. CT在急诊胸腹部创伤患者中的应用观察. 浙江创伤外科. 2019(06): 1289-1291 .
| |
| 13. |
陈进文. 多层螺旋CT对外伤性肝脾破裂的诊断价值. 中国当代医药. 2019(34): 118-120+124 .
| |
| 14. |
杨爱莲. 螺旋CT用于急诊胸腹部创伤中的临床诊断价值. 临床医学研究与实践. 2018(04): 141-142 .
| |
| 15. |
姜薇. 外伤性脾破裂的CT表现及临床应用价值. 中国医药指南. 2018(13): 114-115 .
| |
| 16. |
董智慧，缪颜嵘，温学慧，乔婷. DR与螺旋CT诊断急诊胸腹部创伤的临床应用研究. 中国现代医生. 2018(14): 115-117+169 .
| |
| 17. |
蓝东红. 螺旋CT检查在腹部创伤诊断中的应用价值. 中国医疗器械信息. 2018(22): 104-105 .
| |
| 18. |
蓝丽红，李惠香，朱晓正. 腹部损伤导致肝破裂患者中优质护理的效果分析. 中国医药科学. 2018(24): 125-127 .
| |
| 19. |
辛克武. 多层螺旋CT对外伤性肝脾破裂的诊断价值. 中国医药科学. 2017(23): 147-149 .
|
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