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Haghpanah A, Ayareh N, Akbarzadeh A, Irani D, Hosseini F, Moghadam FS, Gilani MAS, Shamohammadi I. Differentiating between obstructive and non-obstructive azoospermia: A machine learning-based approach. BJUI COMPASS 2025; 6:e493. [PMID: 39963581 PMCID: PMC11832300 DOI: 10.1002/bco2.493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Revised: 01/09/2025] [Accepted: 01/15/2025] [Indexed: 02/20/2025] Open
Abstract
Background Infertility is a major global concern, with azoospermia, being the most severe form of male infertility. Distinguishing between obstructive azoospermia (OA) and non-obstructive azoospermia (NOA) is crucial due to their differing treatment approaches. This study aimed to develop a machine learning model to predict azoospermia subtypes using clinical, ultrasonographic, semen and hormonal analysis data. Methods This retrospective study included all subjects diagnosed with azoospermia. All patients were evaluated by at least one urologist, had their semen sample assessed on at least two different occasions for diagnosis and underwent a testicular biopsy to determine the type of azoospermia, categorized into OA and NOA. Clinical factors, hormonal levels, semen parameters and testicular features were compared between the OA and NOA groups. Three machine learning models, including logistic regression, support vector machine and random forest, were evaluated for their accuracy in differentiating the two subtypes. Results The study included a total of 427 patients with azoospermia, of which 326 had NOA and 101 had OA. The median age of the patients was 33.0 (IQR: 7.0) years. Our findings revealed that factors such as body mass index, testicular length, volume and longitudinal axis, semen parameters and hormonal levels differed significantly between the two groups. When these variables were input into the machine learning-based models, logistic regression achieved the highest F1-score and area under the curve value among the three models evaluated. Conclusions This study underscores the potential of machine learning to differentiate between azoospermia subtypes using readily available clinical data. However, further research is required to validate and refine the model before it can be applied clinically.
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Affiliation(s)
- Abdolreza Haghpanah
- Department of Urology, School of MedicineShiraz University of Medical SciencesShirazIran
| | - Nazanin Ayareh
- Student Research Committee, School of MedicineShiraz University of Medical SciencesShirazIran
| | - Ashkan Akbarzadeh
- Student Research Committee, School of MedicineShiraz University of Medical SciencesShirazIran
| | - Dariush Irani
- Department of Urology, School of MedicineShiraz University of Medical SciencesShirazIran
| | - Fatemeh Hosseini
- Student Research Committee, School of MedicineShiraz University of Medical SciencesShirazIran
| | - Farid Sabahi Moghadam
- Department of Compute Engineering, Faculty of Engineering, Mahshahr BranchAzad UniversityMahshahrIran
| | - Mohammad Ali Sadighi Gilani
- Department of Urology, Shariati Hospital, Faculty of MedicineTehran University of Medical SciencesTehranIran
- Department of Andrology, Reproductive Biomedicine Research CenterRoyan Institute for Reproductive BiomedicineTehranIran
| | - Iman Shamohammadi
- Department of Urology, School of MedicineShiraz University of Medical SciencesShirazIran
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Qin Z, Xiong Q, Lu M, Li S, Chen Y, Ma W, Ma L, Zhou C, Zhu Q, Zhang Y, Zhang M, Lei J. Sperm recovery and ICSI outcomes in non-obstructive azoospermia with cryptorchidism treated by orchiopexy: a systematic review and meta-analysis. Reprod Biomed Online 2025; 50:104392. [PMID: 39500704 DOI: 10.1016/j.rbmo.2024.104392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 06/14/2024] [Accepted: 07/22/2024] [Indexed: 01/29/2025]
Abstract
The aim of this meta-analysis was to quantify the available data concerning sperm retrieval rate (SRR) subsequent to testicular sperm extraction (TESE) and the clinical pregnancy rate (CPR) and live birth rate (LBR) subsequent to TESE and intracytoplasmic sperm injection (ICSI) in patients with non-obstructive azoospermia with cryptorchidism treated by orchidopexy. Furthermore, the aim was to explore the potential predictors of SRR, CPR and LBR within this population. Extensive searches were conducted in PubMed, Embase, Cochrane and Web of Science databases, and 23 articles were included in the study, with 1496 patients. The overall SRR per TESE cycle in the total evaluated trials was 60.9% (55.7-66.2%). Factors such as age at TESE, age at orchidopexy, testicular volume, and FSH, LH and testosterone levels did not affect final SRR. Meta-analyses were conducted on 13 studies each for CPR and LBR, including 913 and 799 ICSI cycles, respectively. The overall CPR per ICSI cycle was 37.6% (29.1-46.1%), and the overall LBR per ICSI cycle was 32.6% (24.9-40.4%). Factors as mentioned above, and the age of women undergoing ICSI, did not affect CPR or LBR per ICSI cycle. Although this meta-analysis extensively investigated outcomes of TESE and potential predictors of SRR, CPR and LBR for patients with non-obstructive azoospermia with cryptorchidism treated by orchidopexy, no effective predictors of outcomes were identified.
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Affiliation(s)
- ZiHan Qin
- Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China, 430071; Clinical Medicine Research Centre of Reproductive Health and Birth Health in Wuhan City, Wuhan, Hubei, China, 430071; Wuhan University, Wuhan, Hubei, PR China, 430071
| | - QiaoHua Xiong
- Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China, 430071; Clinical Medicine Research Centre of Reproductive Health and Birth Health in Wuhan City, Wuhan, Hubei, China, 430071; Wuhan University, Wuhan, Hubei, PR China, 430071
| | - MingHan Lu
- Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China, 430071; Clinical Medicine Research Centre of Reproductive Health and Birth Health in Wuhan City, Wuhan, Hubei, China, 430071; Wuhan University, Wuhan, Hubei, PR China, 430071
| | - ShuHua Li
- Wuhan University, Wuhan, Hubei, PR China, 430071; Taikang Medical School (School of Basic Medical Sciences), Wuhan University, Wuhan, Hubei, PR China, 430071
| | - YuJun Chen
- Wuhan University, Wuhan, Hubei, PR China, 430071; Taikang Medical School (School of Basic Medical Sciences), Wuhan University, Wuhan, Hubei, PR China, 430071
| | - WenHan Ma
- Wuhan University, Wuhan, Hubei, PR China, 430071; Taikang Medical School (School of Basic Medical Sciences), Wuhan University, Wuhan, Hubei, PR China, 430071
| | - Ling Ma
- Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China, 430071; Clinical Medicine Research Centre of Reproductive Health and Birth Health in Wuhan City, Wuhan, Hubei, China, 430071; Wuhan University, Wuhan, Hubei, PR China, 430071
| | - Chun Zhou
- Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China, 430071; Clinical Medicine Research Centre of Reproductive Health and Birth Health in Wuhan City, Wuhan, Hubei, China, 430071; Wuhan University, Wuhan, Hubei, PR China, 430071
| | - Quanfei Zhu
- School of Bioengineering and Health, Wuhan Textile University, Wuhan, Hubei, PR China, 430200
| | - YuanZhen Zhang
- Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China, 430071; Clinical Medicine Research Centre of Reproductive Health and Birth Health in Wuhan City, Wuhan, Hubei, China, 430071; Wuhan University, Wuhan, Hubei, PR China, 430071.
| | - Ming Zhang
- Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China, 430071; Clinical Medicine Research Centre of Reproductive Health and Birth Health in Wuhan City, Wuhan, Hubei, China, 430071; Wuhan University, Wuhan, Hubei, PR China, 430071.
| | - JunHao Lei
- Center for Reproductive Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, PR China, 430071; Clinical Medicine Research Centre of Reproductive Health and Birth Health in Wuhan City, Wuhan, Hubei, China, 430071; Wuhan University, Wuhan, Hubei, PR China, 430071.
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Xu S, Huang Y, Yao C, Li P, Zhi E, Chen W, Deng C, Zhao F, Li Z, Tian R. Stepwise mini-incision microdissection testicular sperm extraction in NOA patients with a history of cryptorchidism: a case-control study. Basic Clin Androl 2023; 33:21. [PMID: 37587426 PMCID: PMC10433673 DOI: 10.1186/s12610-023-00196-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 05/13/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND Although the orchiopexy is recommended for cryptorchidism to preserve male fertility, non-obstructive azoospermia (NOA) may occur in adulthood. Fortunately, a great many of azoospermic men may obtain sperm by microdissection testicular sperm extraction (mTESE). Due to the potential injuries caused by testicular diagnostic biopsy and vascular damage at the time of orchidopexy, minimal invasiveness is particularly important during mTESE, aims to reduce the surgical damage and avoids secondary testicular failure. This comparative study aims to investigate the efficacy of stepwise mini-incision mTESE technique by comparison with standard mTESE in the treatment of NOA patients with a history of cryptorchidism. RESULTS A total of 73 mTESE procedures were divided into two groups: Group 1 included 37 cases performed by stepwise mini-incision mTESE, while Group 2 included 36 cases with standard mTESE. The overall sperm retrieval rate (SRR) in the two groups was 68.5% (50/73), with no significant difference in SRR between Group 1 (78.4%, 29/37) and Group 2 (58.3%, 21/36) (P = 0.1). In addition, 46.0% of the patients (17/37) obtained sperm in the first mini-incision step in Group 1, which was also equal to an overall SRR in Group 2 (58.3%, 21/36) (P = 0.3). The operation time in Group 1 (72.6 ± 33.9 min) was significantly shorter than that in Group 2 (90.4 ± 36.4 min) (P = 0.04). Patients with an orchidopexy age no more than 10 years old had a higher SRR (79.5%, 31/39) than others (55.9%, 19/34) (P = 0.03). There were no postoperative complications including wound infection, scrotal hematoma, persistent pain, and testicular atrophy during a follow-up period of at least 6 months. CONCLUSIONS In conclusion, our study suggests that the stepwise mini-incision mTESE could be a promising approach for sperm retrieval in NOA men with a history of cryptorchidism. While the technique may potentially reduce operation time and surgical invasiveness, further research is needed to validate these findings on a larger scale. The results also suggest that age at orchidopexy may affect SRR and have important implications for the management of cryptorchidism.
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Affiliation(s)
- Shuai Xu
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhua Huang
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chencheng Yao
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng Li
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Erlei Zhi
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Chen
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cunzhong Deng
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fujun Zhao
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheng Li
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Ruhui Tian
- Department of Andrology, Center for Men's Health, Department of ART, Institute of Urology, Urologic Medical Center, Shanghai Key Laboratory of Reproductive Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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