Prognostic significance of solitary lymph node metastasis in patients with stages IA2 to IIA cervical carcinoma

Dai, Yifang; Xu, Mu; Zhong, Li-Ying; Xie, Xiaoyan; Liu, Zhaodong; Yan, Ming-Xing; Yi, Huan; Lin, Danmei

doi:10.1177/0300060518785827

Cited by 6 publications

(5 citation statements)

References 22 publications

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“…Lymph node involvement has a negative impact on the prognosis of cervical cancer. 13,14 Para-aortic lymph node involvement portends a worse prognosis than pelvic lymph node involvement, 15,16 yet all previous versions of cervical cancer staging did not allow the incorporation of lymph node status. This made these earlier versions irrelevant to primary surgical/radiotherapy or adjuvant management planning because lymph node involvement is critically considered in all treatment scenarios.…”

Section: N Category Changesmentioning

confidence: 99%

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The new (Version 9) American Joint Committee on Cancer tumor, node, metastasis staging for cervical cancer

Olawaiye

Baker

Washington

et al. 2021

CA A Cancer J Clinicians

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The American Joint Committee on Cancer (AJCC) tumor, node, metastasis (TNM) staging for all cancer sites has been periodically updated as a published manual for many years. The last update, the eighth edition AJCC Cancer Staging Manual went into use on January 1, 2018. The AJCC has since restructured and updated its processes, and all AJCC staging-related data are now housed on its new application programming interface. Consequently, the next AJCC TNM staging update, AJCC version 9 TNM staging, will be published electronically and will be released chapter by chapter. The first chapter of version 9 AJCC TNM staging is the updated cervical cancer staging, which is now published. This article highlights the changes to the AJCC TNM cervical cancer staging; these changes align with the International Federation of Gynecology and Obstetrics staging. The most important of the changes are: 1) the incorporation of imaging and surgical findings, 2) the elimination of lateral spread from T1a, 3) the addition of a subcategory to T1b (T1b3), and 4) histopathology is updated to reflect human papillomavirus-associated and human papillomavirus-independent carcinomas.

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Section: N Category Changesmentioning

confidence: 99%

“…Lymph node involvement has a negative impact on the prognosis of cervical cancer 13,14 . Para‐aortic lymph node involvement portends a worse prognosis than pelvic lymph node involvement, 15,16 yet all previous versions of cervical cancer staging did not allow the incorporation of lymph node status.…”

Section: General Changesmentioning

confidence: 99%

The new (Version 9) American Joint Committee on Cancer tumor, node, metastasis staging for cervical cancer

Olawaiye

Baker

Washington

et al. 2021

CA A Cancer J Clinicians

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“…Lymph node metastasis is often associated with poor prognosis and its involvement is critically considered in cancer treatment. However, it is challenging to diagnose lymph node metastasis using preoperative examination [ 94 ]. Open radical hysterectomy with pelvic lymph node dissection (ORH) was the standard method for diagnosis and surgical treatment in the past century.…”

Section: Staging System For Cervical Intraepithelial Neoplasia and Ca...mentioning

confidence: 99%

Review of the Standard and Advanced Screening, Staging Systems and Treatment Modalities for Cervical Cancer

Boon

Luk

Xiao

et al. 2022

Cancers

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Cancer arising from the uterine cervix is the fourth most common cause of cancer death among women worldwide. Almost 90% of cervical cancer mortality has occurred in low- and middle-income countries. One of the major aetiologies contributing to cervical cancer is the persistent infection by the cancer-causing types of the human papillomavirus. The disease is preventable if the premalignant lesion is detected early and managed effectively. In this review, we outlined the standard guidelines that have been introduced and implemented worldwide for decades, including the cytology, the HPV detection and genotyping, and the immunostaining of surrogate markers. In addition, the staging system used to classify the premalignancy and malignancy of the uterine cervix, as well as the safety and efficacy of the various treatment modalities in clinical trials for cervical cancers, are also discussed. In this millennial world, the advancements in computer-aided technology, including robotic modules and artificial intelligence (AI), are also incorporated into the screening, diagnostic, and treatment platforms. These innovations reduce the dependence on specialists and technologists, as well as the work burden and time incurred for sample processing. However, concerns over the practicality of these advancements remain, due to the high cost, lack of flexibility, and the judgment of a trained professional that is currently not replaceable by a machine.

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“…As a matter of principle, surgery is performed for cervical cancer without parametrial involvement, while tumors with parametrial invasion are treated with radio-chemotherapy. To the best of our knowledge, cervical cancer with parametrial invasion is closely related to recurrence and survival after treatment (Chung et al, 2010;Munagala et al, 2010;Noh et al, 2014;Kong et al, 2016;Xia et al, 2016;Dai et al, 2018). Therefore, accurate diagnosis of cervical cancer with parametrial invasion is of great clinical significance.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images

Lin

Liu

et al. 2020

Front. Bioeng. Biotechnol.

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Purpose: To evaluate the diagnostic value of the combination of whole-tumor dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and whole-lesion texture features based on T2-weighted images for cervical cancer with parametrial invasion. Materials and Methods: Sixty-two patients with cervical cancer (27 with parametrial invasion and 35 without invasion) preoperatively underwent routine MRI and DCE-MRI examinations. DCE-MRI parameters (K trans , K ep , and V e) and texture features (mean, skewness, kurtosis, uniformity, energy, and entropy) based on T2-weighted images were acquired by two observers. All parameters of parametrial invasion and non-invasion were analyzed by one-way analysis of variance. The diagnostic efficiency of significant variables was assessed using receiver operating characteristic analysis. Results: The invasion group of cervical cancer demonstrated significantly higher K trans (0.335 ± 0.050 vs. 0.269 ± 0.079; p < 0.001), lower energy values (0.503 ± 0.093 vs. 0.602 ± 0.087; p < 0.001), and higher entropy values (1.391 ± 0.193 vs. 1.24 ± 0.129; p < 0.001) than those in the non-invasion group. Optimal diagnostic performance [area under curve [AUC], 0.925; sensitivity, 0.935; specificity, 0.829] could be obtained by the combination of K trans , energy, and entropy values. The AUC values of K trans (0.788), energy (0.761), entropy (0.749), the combination of K trans and energy (0.814), the combination of K trans and entropy (0.727), and the combination of energy and entropy (0.619) were lower than those of the combination of K trans , energy, and entropy values. Conclusion: The combination of DCE-MRI and texture analysis is a promising method for diagnosis cervical cancer with parametrial infiltration. Moreover, the combination of K trans , energy, and entropy is more valuable than any one alone, especially in improving diagnostic sensitivity.

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Prognostic significance of solitary lymph node metastasis in patients with stages IA2 to IIA cervical carcinoma

Cited by 6 publications

References 22 publications

The new (Version 9) American Joint Committee on Cancer tumor, node, metastasis staging for cervical cancer

The new (Version 9) American Joint Committee on Cancer tumor, node, metastasis staging for cervical cancer

Review of the Standard and Advanced Screening, Staging Systems and Treatment Modalities for Cervical Cancer

Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2- Weighted Images

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