A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy
PurposeTo construct a superior single-sequence radiomics signature to assess lymphatic metastasis in patients with cervical cancer after neoadjuvant chemotherapy (NACT).MethodsThe first half of the study was retrospectively conducted in our hospital between October 2012 and December 2021. Based on t...
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| Format: | Article |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1117339/full |
| _version_ | 1797742118242877440 |
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| author | Conghui Ai Lan Zhang Wei Ding Suixing Zhong Zhenhui Li Miaomiao Li Huimei Zhang Lan Zhang Lei Zhang Hongyan Hu |
| author_facet | Conghui Ai Lan Zhang Wei Ding Suixing Zhong Zhenhui Li Miaomiao Li Huimei Zhang Lan Zhang Lei Zhang Hongyan Hu |
| author_sort | Conghui Ai |
| collection | DOAJ |
| description | PurposeTo construct a superior single-sequence radiomics signature to assess lymphatic metastasis in patients with cervical cancer after neoadjuvant chemotherapy (NACT).MethodsThe first half of the study was retrospectively conducted in our hospital between October 2012 and December 2021. Based on the history of NACT before surgery, all pathologies were divided into the NACT and surgery groups. The incidence rate of lymphatic metastasis in the two groups was determined based on the results of pathological examination following lymphadenectomy. Patients from the primary and secondary centers who received NACT were enrolled for radiomics analysis in the second half of the study. The patient cohorts from the primary center were randomly divided into training and test cohorts at a ratio of 7:3. All patients underwent magnetic resonance imaging after NACT. Segmentation was performed on T1-weighted imaging (T1WI), T2-weighted imaging, contrast-enhanced T1WI (CET1WI), and diffusion-weighted imaging.ResultsThe rate of lymphatic metastasis in the NACT group (33.2%) was significantly lower than that in the surgery group (58.7%, P=0.007). The area under the receiver operating characteristic curve values of Radscore_CET1WI for predicting lymph node metastasis and non-lymphatic metastasis were 0.800 and 0.797 in the training and test cohorts, respectively, exhibiting superior diagnostic performance. After combining the clinical variables, the tumor diameter on magnetic resonance imaging was incorporated into the Rad_clin model constructed using Radscore_CET1WI. The Hosmer–Lemeshow test of the Rad_clin model revealed no significant differences in the goodness of fit in the training (P=0.594) or test cohort (P=0.748).ConclusionsThe Radscore provided by CET1WI may achieve a higher diagnostic performance in predicting lymph node metastasis. Superior performance was observed with the Rad_clin model. |
| first_indexed | 2024-03-12T14:36:23Z |
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| language | English |
| last_indexed | 2024-03-12T14:36:23Z |
| publishDate | 2023-08-01 |
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| series | Frontiers in Oncology |
| spelling | doaj.art-9732ab314d8a45c0b13cdec97031c9732023-08-17T04:34:08ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-08-011310.3389/fonc.2023.11173391117339A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapyConghui Ai0Lan Zhang1Wei Ding2Suixing Zhong3Zhenhui Li4Miaomiao Li5Huimei Zhang6Lan Zhang7Lei Zhang8Hongyan Hu9Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, China920th Hospital of Joint Logistics Support Force, Kunming, Yunnan, ChinaDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaDepartment of Radiology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, ChinaDepartment of Gynecology, Yunnan Tumor Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaDepartment of Pathology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Center), Kunming, ChinaPurposeTo construct a superior single-sequence radiomics signature to assess lymphatic metastasis in patients with cervical cancer after neoadjuvant chemotherapy (NACT).MethodsThe first half of the study was retrospectively conducted in our hospital between October 2012 and December 2021. Based on the history of NACT before surgery, all pathologies were divided into the NACT and surgery groups. The incidence rate of lymphatic metastasis in the two groups was determined based on the results of pathological examination following lymphadenectomy. Patients from the primary and secondary centers who received NACT were enrolled for radiomics analysis in the second half of the study. The patient cohorts from the primary center were randomly divided into training and test cohorts at a ratio of 7:3. All patients underwent magnetic resonance imaging after NACT. Segmentation was performed on T1-weighted imaging (T1WI), T2-weighted imaging, contrast-enhanced T1WI (CET1WI), and diffusion-weighted imaging.ResultsThe rate of lymphatic metastasis in the NACT group (33.2%) was significantly lower than that in the surgery group (58.7%, P=0.007). The area under the receiver operating characteristic curve values of Radscore_CET1WI for predicting lymph node metastasis and non-lymphatic metastasis were 0.800 and 0.797 in the training and test cohorts, respectively, exhibiting superior diagnostic performance. After combining the clinical variables, the tumor diameter on magnetic resonance imaging was incorporated into the Rad_clin model constructed using Radscore_CET1WI. The Hosmer–Lemeshow test of the Rad_clin model revealed no significant differences in the goodness of fit in the training (P=0.594) or test cohort (P=0.748).ConclusionsThe Radscore provided by CET1WI may achieve a higher diagnostic performance in predicting lymph node metastasis. Superior performance was observed with the Rad_clin model.https://www.frontiersin.org/articles/10.3389/fonc.2023.1117339/fullcervical cancerneoadjuvant chemotherapymulti-parameter MRIlymph node metastasisradiomics |
| spellingShingle | Conghui Ai Lan Zhang Wei Ding Suixing Zhong Zhenhui Li Miaomiao Li Huimei Zhang Lan Zhang Lei Zhang Hongyan Hu A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy Frontiers in Oncology cervical cancer neoadjuvant chemotherapy multi-parameter MRI lymph node metastasis radiomics |
| title | A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy |
| title_full | A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy |
| title_fullStr | A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy |
| title_full_unstemmed | A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy |
| title_short | A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy |
| title_sort | nomogram based optimized radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy |
| topic | cervical cancer neoadjuvant chemotherapy multi-parameter MRI lymph node metastasis radiomics |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1117339/full |
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