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| 2. |
- Abdul-Sattar Aljabery, Firas, et al.
(författare)
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Stapled versus robot-sewn ileo-ileal anastomosis during robot-assisted radical cystectomy : a review of outcomes in urinary bladder cancer patients
- 2021
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Ingår i: Scandinavian journal of urology. - : Taylor & Francis. - 2168-1805 .- 2168-1813. ; 55:1, s. 41-45
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Forskningsöversikt (refereegranskat)abstract
- BackgroundWhereas the literature has demonstrated an acceptable safety profile of stapled anastomoses when compared to the hand-sewn alternative in open surgery, the choice of intestinal anastomosis using sutures or staples remains inadequately investigated in robotic surgery. The purpose of this study was to compare the surgical outcomes of both anastomotic techniques in robotic-assisted radical cystectomy.MethodsA retrospective analysis of patients with urinary bladder cancer undergoing cystectomy with urinary diversion and with ileo-ileal intestinal anastomosis at a single tertiary centre (2012–2018) was undertaken. The robotic operating time, hospital stay and GI complications were compared between the robotic-sewn (RS) and stapled anastomosis (SA) groups. The only difference between the groups was the anastomosis technique; the other technical steps during the operation were the same. Primary outcomes were GI complications; the secondary outcome was robotic operation time.ResultsThere were 155 patients, of which 112 (73%) were male. The median age was 71 years old. A surgical stapling device was used to create 66 (43%) separate anastomoses, while a robot-sewn method was employed in 89 (57%) anastomoses. There were no statistically significant differences in primary and secondary outcomes between RS and SA.ConclusionsCompared to stapled anastomosis, a robot-sewn ileo-ileal anastomosis may serve as an alternative and cost-saving approach.
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| 3. |
- Abuhasanein, Suleiman, et al.
(författare)
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A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
- 2024
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Ingår i: Scandinavian journal of urology. - : Medical Journal Sweden AB. - 2168-1805 .- 2168-1813. ; 59, s. 90-97
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To evaluate whether artificial intelligence (AI) based automatic image analysis utilising convolutional neural networks (CNNs) can be used to evaluate computed tomography urography (CTU) for the presence of urinary bladder cancer (UBC) in patients with macroscopic hematuria. Methods: Our study included patients who had undergone evaluation for macroscopic hematuria. A CNN-based AI model was trained and validated on the CTUs included in the study on a dedicated research platform (Recomia.org). Sensitivity and specificity were calculated to assess the performance of the AI model. Cystoscopy findings were used as the reference method. Results: The training cohort comprised a total of 530 patients. Following the optimisation process, we developed the last version of our AI model. Subsequently, we utilised the model in the validation cohort which included an additional 400 patients (including 239 patients with UBC). The AI model had a sensitivity of 0.83 (95% confidence intervals [CI], 0.76-0.89), specificity of 0.76 (95% CI 0.67-0.84), and a negative predictive value (NPV) of 0.97 (95% CI 0.95-0.98). The majority of tumours in the false negative group (n = 24) were solitary (67%) and smaller than 1 cm (50%), with the majority of patients having cTaG1-2 (71%). Conclusions: We developed and tested an AI model for automatic image analysis of CTUs to detect UBC in patients with macroscopic hematuria. This model showed promising results with a high detection rate and excessive NPV. Further developments could lead to a decreased need for invasive investigations and prioritising patients with serious tumours.
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| 4. |
- Abuhasanein, Suleiman, et al.
(författare)
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A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria
- 2024
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Ingår i: Scandinavian Journal of Urology. - : Medical Journal Sweden AB. - 2168-1805 .- 2168-1813. ; 59, s. 90-97
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: To evaluate whether artificial intelligence (AI) based automatic image analysis utilising convolutional neural networks (CNNs) can be used to evaluate computed tomography urography (CTU) for the presence of urinary bladder cancer (UBC) in patients with macroscopic hematuria. METHODS: Our study included patients who had undergone evaluation for macroscopic hematuria. A CNN-based AI model was trained and validated on the CTUs included in the study on a dedicated research platform (Recomia.org). Sensitivity and specificity were calculated to assess the performance of the AI model. Cystoscopy findings were used as the reference method. RESULTS: The training cohort comprised a total of 530 patients. Following the optimisation process, we developed the last version of our AI model. Subsequently, we utilised the model in the validation cohort which included an additional 400 patients (including 239 patients with UBC). The AI model had a sensitivity of 0.83 (95% confidence intervals [CI], 0.76-0.89), specificity of 0.76 (95% CI 0.67-0.84), and a negative predictive value (NPV) of 0.97 (95% CI 0.95-0.98). The majority of tumours in the false negative group (n = 24) were solitary (67%) and smaller than 1 cm (50%), with the majority of patients having cTaG1-2 (71%). CONCLUSIONS: We developed and tested an AI model for automatic image analysis of CTUs to detect UBC in patients with macroscopic hematuria. This model showed promising results with a high detection rate and excessive NPV. Further developments could lead to a decreased need for invasive investigations and prioritising patients with serious tumours.
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| 5. |
- Abuhasanein, Suleiman, et al.
(författare)
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Do not throw out the baby with the bath water
- 2022
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Ingår i: Scandinavian Journal of Urology. - Abingdon, Oxfordshire, United Kingdom : Medical Journals Sweden AB. - 2168-1805 .- 2168-1813. ; 56:3, s. 235-236
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Tidskriftsartikel (refereegranskat)
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| 6. |
- Abuhasanein, Suleiman, et al.
(författare)
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Standardized care pathways for patients with suspected urinary bladder cancer: the Swedish experience
- 2022
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Ingår i: Scandinavian Journal of Urology. - : Medical Journals Sweden AB. - 2168-1805 .- 2168-1813. ; 56:3, s. 227-232
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Tidskriftsartikel (refereegranskat)abstract
- Objectives To compare time intervals to diagnosis and treatment, tumor characteristics, and management in patients with primary urinary bladder cancer, diagnosed before and after the implementation of a standardized care pathway (SCP) in Sweden. Materials and methods Data from the Swedish National Register of Urinary Bladder Cancer was studied before (2011-2015) and after (2016-2019) SCP. Data about time from referral to transurethral resection of bladder tumor (TURBT), patients and tumor characteristics, and management were analyzed. Subgroup analyses were performed for cT1 and cT2-4 tumors. Results Out of 26,795 patients, median time to TURBT decreased from 37 to 27 days after the implementation of SCP. While the proportion of cT2-T4 tumors decreased slightly (22-21%, p < 0.001), this change was not stable over time and the proportions cN + and cM1 remained unchanged. In the subgroups with cT1 and cT2-4 tumors, the median time to TURBT decreased and the proportions of patients discussed at a multidisciplinary team conference (MDTC) increased after SCP. In neither of these subgroups was a change in the proportions of cN + and cM1 observed, while treatment according to guidelines increased after SCP in the cT1 group. Conclusion After the implementation of SCP, time from referral to TURBT decreased and the proportion of patients discussed at MDTC increased, although not at the levels recommended by guidelines. Thus, our findings point to the need for measures to increase adherence to SCP recommendations and to guidelines.
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| 7. |
- Adolfsson, J
(författare)
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Citing and endpoints
- 2022
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Ingår i: Scandinavian journal of urology. - : Medical Journals Sweden AB. - 2168-1813 .- 2168-1805. ; 56:3, s. 213-213
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 8. |
- Almdalal, Tarik, et al.
(författare)
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Predictive characteristics for disease recurrence and overall survival in non-metastatic clinical T1 renal cell carcinoma : results from the National Swedish Kidney Cancer Register
- 2023
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Ingår i: Scandinavian journal of urology. - : Taylor & Francis. - 2168-1805 .- 2168-1813. ; 57:1-6, s. 67-74
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Tidskriftsartikel (refereegranskat)abstract
- ObjectivePatients with clinical T1 renal cell carcinoma (cT1RCC) have risks for recurrence and reduced overall survival despite being in the best prognostic group. This study aimed to evaluate the association of different treatments on disease recurrence and overall survival using clinical and pathological characteristics in a nation-wide cT1RCC cohort.Materials and methodsA total of 4,965 patients, registered in the National Swedish Kidney Cancer Register (NSKCR) between 2005 and 2014, with ≥ 5-years follow-up were identified: 3,040 males and 1,925 females, mean age 65 years. Times to recurrence and overall survival were analyzed with Kaplan-Meier curves, log-rank test, and Cox regression models.ResultsAge, TNM-stage, tumor size, RCC-type, and performed treatment were all associated with disease recurrence. Patients selected for ablative treatments had increased risk for recurrent disease: hazard ratio (HR) = 3.79 [95% confidence interval (CI) = 2.69–5.32]. In multivariate analyses, age, gender, tumor size, RCC-type, N-stage, recurrence and performed treatment were all independently associated with overall survival. Patients with chRCC had a 41% better overall survival (HR = 0.59, 95% CI = 0.44–0.78; p < 0.001) than ccRCC. Patients treated with partial nephrectomy (PN) had an 18% better overall survival (HR = 0.83, 95% CI = 0.71–0.95, p < 0.001) than patients treated with radical nephrectomy.ConclusionsAge, gender, T-stage, tumor size, RCC type and treatment modality are all associated with risk of recurrence. Furthermore, age, male gender, tumor size, N-stage and recurrence are associated with reduced overall survival. Patients with chRCC, compared with ccRCC and pRCC patients, and PN compared with RN treated patients, had an advantageous overall survival, indicating a possible survival advantage of nephron sparing treatment.
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| 9. |
- Alverbratt, Charlotte, et al.
(författare)
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Time difference in retrieving clinical information in Patient-overview Prostate Cancer compared to electronic health records
- 2022
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Ingår i: Scandinavian Journal of Urology. - : Medical Journals Sweden AB. - 2168-1805 .- 2168-1813. ; 56:2, s. 95-101
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Tidskriftsartikel (refereegranskat)abstract
- Background: Patients with advanced prostate cancer (PCa) typically undergo numerous lines of treatment leading to large amounts of information in Electronic Health Records (EHRs). The Patient-overview Prostate Cancer (PPC) presents clinical information in a graphical overview. The aim of this study was to measure time spent on retrieving clinical information in PPC compared to EHRs, to assess if retrieved data was correct and to explore usability of PPC. Material and methods: Oncologists, urologists and nurses in three hospitals in Sweden were timed when filling out questionnaires about patients using PPC and two different EHRs; Melior and COSMIC. Time and number of errors were analysed using linear mixed models (LMMs). Usability of PPC was measured with the System Usability Scale. Results: The LMM showed a significantly shorter time to retrieve information in PPC compared to EHRs. The estimated time to complete one questionnaire was 8 minutes (95% CI = 6–10, p < 0.001) in PPC compared to 25 minutes in Melior and 21 minutes in COSMIC. Compared to PPC, the estimated time difference was 17 minutes longer in Melior (95% CI = 14–20, p < 0.001) and 13 minutes longer in COSMIC (95% CI = 10–17, p < 0.001). The LMM showed significantly fewer errors in PPC compared to Melior. No significant difference in the number of errors was found between PPC and COSMIC. The usability of PPC was rated as excellent by oncologists, urologists and nurses. Conclusion: A graphical overview of a patient’s medical history, as in PPC, gives health staff rapid access to relevant information with a high degree of usability.
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