Recent Trends in Transurethral Surgeries and Urological Outpatient Procedures: a Nationwide Population-based Cohort Study

Prediction of the composition of urinary stones using deep learning

PURPOSE

This study aimed to predict the composition of urolithiasis using deep learning from urinary stone images.

MATERIALS AND METHODS

We classified 1,332 stones into 31 classes according to the stone composition. The top 4 classes with a frequency of 110 or more (class 1: calcium oxalate monohydrate [COM] 100%, class 2: COM 80%+struvite 20%, class 3: COM 60%+calcium oxalate dihydrate [COD] 40%, class 4: uric acid 100%) were selected. With the 965 stone images of the top 4 classes, we used the seven convolutional neural networks (CNN) to classify urinary stones and compared their classification performances.

RESULTS

Among the seven models, Xception_Ir0.001 showed the highest accuracy, precision, and recall and was selected as the CNN model to predict the stone composition. The sensitivity and specificity for the 4 classes by Xception_Ir0.001 were as follows: class 1 (94.24%, 91.73%), class 2 (85.42%, 96.14%), class 3 (86.86%, 99.59%), and class 4 (94.96%, 98.82%). The sensitivity and specificity of the individual components of the stones were as follows. COM (98.82%, 94.96%), COD (86.86%, 99.64%), struvite (85.42%, 95.59%), and uric acid (94.96%, 98.82%). The area under the curves for class 1, 2, 3, and 4 were 0.98, 0.97, 1.00, and 1.00, respectively.

CONCLUSIONS

This study showed the feasibility of deep learning for the diagnostic ability to assess urinary stone composition from images. It can be an alternative tool for conventional stone analysis and provide decision support to urologists, improving the effectiveness of diagnosis and treatment.

Thulium fiber laser enucleation of the prostate (ThuFLEP). Prospective study of mid- and long-term outcomes in 1328 patients

The objective of our study was to estimate the long-term efficacy and safety of thulium fiber laser enucleation of the prostate (ThuFLEP).

MATERIALS AND METHODS

We analysed patients who underwent ThuFLEP due to LUTS related to BPO. Both the pre- and perioperative data as well as the follow-up data for 3 years were evaluated: prostate volume, post-void residual (PVR), Qmax, IPSS and QoL, PSA level and the complication rate. Intraoperative data relating to the weight of resected tissue, the duration of surgery, catheterization and data on hospital stays were also collected. A sub-group analysis was performed to assess whether older patients (>65 years) or those with larger glands (>80 cc) are prone to increased complication risks.

RESULTS

A total of 1328 patients were included in the analysis. The mean age was 66.9±7.5 years. Mean prostate volume was 86.9±41.9 (20-330) cc. All the functional parameters (IPSS, QoL, PVR, Qmax) significantly improved after surgery (p<0.05) and showed durable improvement up to 3-years of follow-up. The frequency of late complications was as follows: stress urinary incontinence - 1.2%; urethral stricture -1.1%; bladder neck contracture - 0.9%. Sub-group analyses revealed increased UTI frequency in older patients (3.5% vs 0.8%, p=0.003) as well as higher rate of SUI (0.4% vs 1.8%, p=0.002) and higher rate of clot retention (11.3% vs 4.4%, p<0.001) in those with larger glands.

CONCLUSIONS

Irrespective of the patient's age and prostate volume, ThuFLEP represents an effective and durable technique of endoscopic enucleation characterized by a low incidence of complications after 3 years of follow-up. In the hands of an experienced surgeon, ThuFLEP can rightly be considered to be a promising alternative to HoLEP for treatment of LUTS associated with BPO.

Ambulatory surgery for cancer patients: current controversies and concerns

PURPOSE OF REVIEW

This review aims to describe the main concerns and controversies of ambulatory surgery in cancer patients while providing an overview of ambulatory cancer anaesthesia.

RECENT FINDINGS

Cancer patients can undergo a variety of ambulatory surgeries. The introduction of robotic approach and the implementation of enhanced recovery programmes have allowed patients to avoid hospital admissions after more complex or invasive surgeries. In this context, the anaesthesiologist plays a key role in ensuring that the ambulatory surgical centre or the hospital-based ambulatory department is equipped for the perioperative challenges of the cancer population. Cancer patients tend to be older and with more comorbidities than the general population. In addition, these individuals may suffer from chronic conditions solely because of the cancer itself, or the treatment. Consequently, frailty is not uncommon and should be screened on a routine basis. Regional analgesia plays a key role in the provision of opioid-sparing multimodal analgesia.

SUMMARY

Neither regional anaesthesia or general anaesthesia have proven to affect the long-term oncological outcomes of cancer patients undergoing ambulatory surgery. In addition, there is insufficient evidence to suggest the use of total intravenous anaesthesia or inhalational anaesthesia over the other to decrease cancer recurrence.