A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer
PurposeThis study attempted to establish a combined diagnostic model encompassing visualization of the middle rectal artery (MRA) and other imaging features to improve the diagnostic efficiency of lateral lymph node (LLN) metastasis, which is crucial for clinical decision-making in rectal cancer.Met...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Physiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2024.1444897/full |
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| author | Ning Wang Yiping Li Yiping Li Yiping Li Kun Lu Kaikai Wei Shize Jia Shuhong Fan Donglin Ren Donglin Ren Donglin Ren Yuanji Fu Yuanji Fu Yuanji Fu Zhimin Liu Zhimin Liu Zhimin Liu |
| author_facet | Ning Wang Yiping Li Yiping Li Yiping Li Kun Lu Kaikai Wei Shize Jia Shuhong Fan Donglin Ren Donglin Ren Donglin Ren Yuanji Fu Yuanji Fu Yuanji Fu Zhimin Liu Zhimin Liu Zhimin Liu |
| author_sort | Ning Wang |
| collection | DOAJ |
| description | PurposeThis study attempted to establish a combined diagnostic model encompassing visualization of the middle rectal artery (MRA) and other imaging features to improve the diagnostic efficiency of lateral lymph node (LLN) metastasis, which is crucial for clinical decision-making in rectal cancer.MethodOne hundred eleven patients receiving bilateral or unilateral lymph node dissection were enrolled, and 140 cases of LLN status on a certain unilateral pelvic sidewall were selected. Enhanced computed tomography (CT) was used to determine whether MRA was visible. Multivariable regression was used to establish a diagnostic model combining MRA visualization with other imaging features to predict LLN metastasis. Receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) were used to test the diagnostic efficacy for LLN metastasis. Ten-fold cross-validation was completed to internally validate the diagnostic model.ResultsOf the 140 LLNs harvested from 111 patients, 76 were positive and 64 were negative for metastases, respectively. The diagnostic model combining the MRA visualization and lymph node short diameter showed a greater efficiency than a single scale (AUC = 0.945, 95% confidence interval = 0.893–0.976, P < 0.001). The mean cross-validated AUC was 0.869 (95% confidence interval = 0.835–0.903).ConclusionOur results establish a combined diagnostic model with the help of MRA visualization to yield a high diagnostic efficiency of LLN metastasis in rectal cancer. |
| format | Article |
| id | doaj-art-8da057dfce5a4dec98158f79d3334eb7 |
| institution | Kabale University |
| issn | 1664-042X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj-art-8da057dfce5a4dec98158f79d3334eb72025-01-07T06:47:04ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2025-01-011510.3389/fphys.2024.14448971444897A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancerNing Wang0Yiping Li1Yiping Li2Yiping Li3Kun Lu4Kaikai Wei5Shize Jia6Shuhong Fan7Donglin Ren8Donglin Ren9Donglin Ren10Yuanji Fu11Yuanji Fu12Yuanji Fu13Zhimin Liu14Zhimin Liu15Zhimin Liu16Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of General Surgery (Coloproctology), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaBiomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Anesthesia, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaSchool of Public Health, Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of General Surgery (Coloproctology), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaBiomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of General Surgery (Coloproctology), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaBiomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of General Surgery (Coloproctology), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaGuangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaBiomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaPurposeThis study attempted to establish a combined diagnostic model encompassing visualization of the middle rectal artery (MRA) and other imaging features to improve the diagnostic efficiency of lateral lymph node (LLN) metastasis, which is crucial for clinical decision-making in rectal cancer.MethodOne hundred eleven patients receiving bilateral or unilateral lymph node dissection were enrolled, and 140 cases of LLN status on a certain unilateral pelvic sidewall were selected. Enhanced computed tomography (CT) was used to determine whether MRA was visible. Multivariable regression was used to establish a diagnostic model combining MRA visualization with other imaging features to predict LLN metastasis. Receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) were used to test the diagnostic efficacy for LLN metastasis. Ten-fold cross-validation was completed to internally validate the diagnostic model.ResultsOf the 140 LLNs harvested from 111 patients, 76 were positive and 64 were negative for metastases, respectively. The diagnostic model combining the MRA visualization and lymph node short diameter showed a greater efficiency than a single scale (AUC = 0.945, 95% confidence interval = 0.893–0.976, P < 0.001). The mean cross-validated AUC was 0.869 (95% confidence interval = 0.835–0.903).ConclusionOur results establish a combined diagnostic model with the help of MRA visualization to yield a high diagnostic efficiency of LLN metastasis in rectal cancer.https://www.frontiersin.org/articles/10.3389/fphys.2024.1444897/fullrectal cancermiddle rectal arterylateral lymph nodecomputed tomographydiagnostic test |
| spellingShingle | Ning Wang Yiping Li Yiping Li Yiping Li Kun Lu Kaikai Wei Shize Jia Shuhong Fan Donglin Ren Donglin Ren Donglin Ren Yuanji Fu Yuanji Fu Yuanji Fu Zhimin Liu Zhimin Liu Zhimin Liu A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer Frontiers in Physiology rectal cancer middle rectal artery lateral lymph node computed tomography diagnostic test |
| title | A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer |
| title_full | A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer |
| title_fullStr | A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer |
| title_full_unstemmed | A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer |
| title_short | A combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer |
| title_sort | combined diagnostic model including middle rectal artery visualization for predicting lateral lymph node metastasis in rectal cancer |
| topic | rectal cancer middle rectal artery lateral lymph node computed tomography diagnostic test |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2024.1444897/full |
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