Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval exploration
Abstract Background Non-obstructive azoospermia (NOA), the severe type of male infertility. The objective of this study was to evaluate the predictive accuracy of a prediction model of sperm retrieval failure with fine needle aspiration (FNA). Methods This study involved 769 NOA patients (dataset 1)...
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BMC
2024-12-01
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| Series: | BMC Medical Informatics and Decision Making |
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| Online Access: | https://doi.org/10.1186/s12911-024-02816-5 |
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| author | Xiaohui Jiang Dingming Li Yi Zheng Yinxian Li Hengzhou Bai Guicheng Zhao Yi Zhang Yue Ma |
| author_facet | Xiaohui Jiang Dingming Li Yi Zheng Yinxian Li Hengzhou Bai Guicheng Zhao Yi Zhang Yue Ma |
| author_sort | Xiaohui Jiang |
| collection | DOAJ |
| description | Abstract Background Non-obstructive azoospermia (NOA), the severe type of male infertility. The objective of this study was to evaluate the predictive accuracy of a prediction model of sperm retrieval failure with fine needle aspiration (FNA). Methods This study involved 769 NOA patients (dataset 1) undertaking FNA and 140 NOA patients undertaking mTESE (dataset 2). The previous model was validated and then reconstructed for more potential risk factors and better accuracy in dataset 1. The reconstructed model was evaluated in NOA patients with different new variables. The outcomes of the micro- testicular sperm extraction (mTESE) were compared with the predicted outcomes of FNA to evaluate its potential as an alternative surgical sperm retrieval (SSR) technique. Results 307 (39.92%) males experienced sperm retrieval failure in FNA while 92 (65.7%) males experienced sperm retrieval failure in mTESE. The refined model has 80% overall agreement (n = 616). The reconstructed model had an AUROC of 0.876 (95% CI: 0.850–0.921). The mTESE has significantly higher success rate (34.29%) than the predicted success rate of FNA (5.71%). Conclusions Previous model shows good consistency. mTESE can be an alternative SSR method for NOA patients with a high predicted risk of sperm retrieval failure with FNA. |
| format | Article |
| id | doaj-art-a3ef25a568d04caaa03d1e5d0d64b4fe |
| institution | Kabale University |
| issn | 1472-6947 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj-art-a3ef25a568d04caaa03d1e5d0d64b4fe2025-01-05T12:32:29ZengBMCBMC Medical Informatics and Decision Making1472-69472024-12-0124111010.1186/s12911-024-02816-5Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval explorationXiaohui Jiang0Dingming Li1Yi Zheng2Yinxian Li3Hengzhou Bai4Guicheng Zhao5Yi Zhang6Yue Ma7Human Sperm Bank, West China Second Hospital of Sichuan UniversityHuman Sperm Bank, West China Second Hospital of Sichuan UniversityHuman Sperm Bank, West China Second Hospital of Sichuan UniversityChongqing Changshou Women and Children’s HospitalHuman Sperm Bank, West China Second Hospital of Sichuan UniversityHuman Sperm Bank, West China Second Hospital of Sichuan UniversityWest China School of Public Health and West China Fourth Hospital, Sichuan UniversityWest China School of Public Health and West China Fourth Hospital, Sichuan UniversityAbstract Background Non-obstructive azoospermia (NOA), the severe type of male infertility. The objective of this study was to evaluate the predictive accuracy of a prediction model of sperm retrieval failure with fine needle aspiration (FNA). Methods This study involved 769 NOA patients (dataset 1) undertaking FNA and 140 NOA patients undertaking mTESE (dataset 2). The previous model was validated and then reconstructed for more potential risk factors and better accuracy in dataset 1. The reconstructed model was evaluated in NOA patients with different new variables. The outcomes of the micro- testicular sperm extraction (mTESE) were compared with the predicted outcomes of FNA to evaluate its potential as an alternative surgical sperm retrieval (SSR) technique. Results 307 (39.92%) males experienced sperm retrieval failure in FNA while 92 (65.7%) males experienced sperm retrieval failure in mTESE. The refined model has 80% overall agreement (n = 616). The reconstructed model had an AUROC of 0.876 (95% CI: 0.850–0.921). The mTESE has significantly higher success rate (34.29%) than the predicted success rate of FNA (5.71%). Conclusions Previous model shows good consistency. mTESE can be an alternative SSR method for NOA patients with a high predicted risk of sperm retrieval failure with FNA.https://doi.org/10.1186/s12911-024-02816-5Non-obstructive azoospermia (NOA)Fine needle aspiration (FNA)Microtesticular sperm extraction (mTESE)Sperm retrieval risk predictionLogistic regression |
| spellingShingle | Xiaohui Jiang Dingming Li Yi Zheng Yinxian Li Hengzhou Bai Guicheng Zhao Yi Zhang Yue Ma Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval exploration BMC Medical Informatics and Decision Making Non-obstructive azoospermia (NOA) Fine needle aspiration (FNA) Microtesticular sperm extraction (mTESE) Sperm retrieval risk prediction Logistic regression |
| title | Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval exploration |
| title_full | Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval exploration |
| title_fullStr | Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval exploration |
| title_full_unstemmed | Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval exploration |
| title_short | Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population identification and potential alternative sperm retrieval exploration |
| title_sort | does the fna sperm retrieval failure prediction model work well for current noa individuals undertaking risk screening before the operation model validation high risk population identification and potential alternative sperm retrieval exploration |
| topic | Non-obstructive azoospermia (NOA) Fine needle aspiration (FNA) Microtesticular sperm extraction (mTESE) Sperm retrieval risk prediction Logistic regression |
| url | https://doi.org/10.1186/s12911-024-02816-5 |
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