Testicular sperm retrieval at the time of bilateral radical orchiectomy
Bibliographic record
Abstract
A new indication for testicular tissue cryopreservation is discussed here. We evaluate the feasibility of testicular sperm extraction during bilateral orchiectomy for testicular cancer. A 26-year-old man with a history of right orchidopexy presented with primary infertility. Tests revealed left varicocele and oligospermia. He underwent varicocelectomy but was lost to follow-up. Nine months later, he presented with right-sided solid testicular swelling. Ultrasound examination confirmed the finding of possible neoplasm and revealed contralateral intratesticular lesion. Since the patient turned azoospermic, no semen sample could be cryopreserved. Permanent histopathological sections revealed bilateral classical seminomas. On processing the fresh healthy looking specimen, normal-looking viable sperm were obtained. Future attempts at in-vitro fertilization with intracytoplasmic sperm injection should be possible. This method has been described in metachronous testicular cancer, but to our knowledge, we are the first to use it in synchronous bilateral testicular tumors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".