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Guo Q, Gao Y, Lin Y, Li W, Zhang Z, Mao Y, Xu X. A nomogram of preoperative indicators predicting lymph vascular space invasion in cervical cancer. Arch Gynecol Obstet 2024; 309:2079-2087. [PMID: 38358484 DOI: 10.1007/s00404-024-07385-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024]
Abstract
PURPOSE To develop predictive nomograms of lymph vascular space invasion (LVSI) in patients with early-stage cervical cancer. METHODS We identified 403 patients with cervical cancer from the Affiliated Hospital of Jiangnan University from January 2015 to December 2019. Patients were divided into the training set (n = 242) and the validation set (n = 161), with patients in the training set subdivided into LVSI (+) and LVSI (-) groups according to postoperative pathology. Preoperative hematologic indexes were compared between the two subgroups. Univariate and multivariate logistic regression analyses were used to analyze the independent risk factors for LVSI, from which a nomogram was constructed using the R package. RESULTS LVSI (+) was present in 94 out of 242 patients in the training set, accompanied by a significant increase in the preoperative squamous cell carcinoma antigen (SCC), white blood cells (WBC), neutrophil (NE), platelet (PLT), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic inflammation index (SII), and tumor size (P < 0.05). Univariate analysis showed that SCC, WBC, NE, NLR, PLR, SII, and tumor size were correlated with LVSI (P < 0.05), and multivariate analysis showed that tumor size, SCC, WBC, and NLR were independent risk factors for LVSI (P < 0.05). A nomogram was correspondingly established with good performance in predicting LVSI [training: ROC-AUC = 0.845 (95% CI: 0.731-0.843) and external validation: ROC-AUC = 0.704 (95% CI: 0.683-0.835)] and high accuracy (training: C-index = 0.787; external validation: C-index = 0.759). CONCLUSION The nomogram based on preoperative tumor size, SCC, WBC, and NLR had excellent accuracy and discriminative capability to assess the risk of LVSI in early-stage cervical cancer patients.
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Affiliation(s)
- Qu Guo
- Department of Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yufeng Gao
- Department of Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China
- Wuxi Medical College, Jiangnan University, Wuxi, China
| | - Yaying Lin
- Department of Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China
- Wuxi Medical College, Jiangnan University, Wuxi, China
| | - Weimin Li
- Ultrasonography Department, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Zhenyu Zhang
- Department of Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yurong Mao
- Department of Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Xizhong Xu
- Department of Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, China.
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Zhang C, Havrilesky LJ, Broadwater G, Di Santo N, Ehrisman JA, Lee PS, Berchuck A, Alvarez Secord A, Bean S, Bentley RC, Valea FA. Relationship between minimally invasive hysterectomy, pelvic cytology, and lymph vascular space invasion: a single institution study of 458 patients. Gynecol Oncol 2014; 133:211-5. [PMID: 24582867 DOI: 10.1016/j.ygyno.2014.02.025] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2014] [Revised: 02/17/2014] [Accepted: 02/20/2014] [Indexed: 10/25/2022]
Abstract
OBJECTIVE The aim of this study is to determine whether a minimally invasive approach to hysterectomy is associated with an increased rate of lymph vascular space invasion (LVSI) and/or malignant pelvic peritoneal cytology in endometrial cancer. METHODS We performed a single institution analysis of 458 women with endometrial cancer who underwent either total abdominal hysterectomy (TAH) or minimally invasive hysterectomy (MIH) with use of a disposable uterine manipulator. All patients had endometrial cancer diagnosed by endometrial biopsy at a single academic institution between 2002 and 2012. Exclusion criteria were pre-operative D&C and/or hysteroscopy, uterine perforation or morcellation, and conversion to laparotomy. Multivariate logistic regression models to determine if type of hysterectomy predicts either LVSI or presence of abnormal cytology were controlled for grade, stage, depth of invasion, tumor size, cervical and adnexal involvement. RESULTS LVSI was identified in 39/214 (18%) MIH and 44/242 (18%) TAH (p=0.99). Pelvic washings were malignant in 14/203 (7%) MIH and 16/241 (7%) TAH (p=1.0). Washings were atypical or inconclusive in 16/203 (8%) MIH and 6/241 (2.5%) TAH (p=0.014). In multivariate analyses, type of hysterectomy was not a significant predictor of either LVSI (p=0.29) or presence of malignant washings (p=0.66), but was a predictor of atypical or inconclusive washings (p=0.03). CONCLUSION Minimally invasive hysterectomy with use of a uterine manipulator for endometrial cancer is not associated with LVSI or malignant cytology. Algorithms that better determine the etiology and implications of inconclusive or atypical pelvic cytology are needed to inform the possible additional risk associated with a minimally invasive approach to endometrial cancer.
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Affiliation(s)
- Chelsea Zhang
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA
| | - Laura J Havrilesky
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA; Duke Cancer Institute, Durham, NC 27710, USA.
| | - Gloria Broadwater
- Biostatistics, Duke University Medical Center, Durham, NC 27710, USA
| | - Nicola Di Santo
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA
| | - Jessie A Ehrisman
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA
| | - Paula S Lee
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA; Duke Cancer Institute, Durham, NC 27710, USA
| | - Andrew Berchuck
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA; Duke Cancer Institute, Durham, NC 27710, USA
| | - Angeles Alvarez Secord
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA; Duke Cancer Institute, Durham, NC 27710, USA
| | - Sarah Bean
- Department of Pathology, Duke University Medical Center, Durham, NC 27710, USA
| | - Rex C Bentley
- Department of Pathology, Duke University Medical Center, Durham, NC 27710, USA
| | - Fidel A Valea
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA; Duke Cancer Institute, Durham, NC 27710, USA
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