1
|
Shen C, Zhu X, Chen Z, Zhang W, Chen X, Zheng B, Gu D. Nomogram predicting early urinary incontinence after radical prostatectomy. BMC Cancer 2024; 24:1095. [PMID: 39227825 PMCID: PMC11373233 DOI: 10.1186/s12885-024-12850-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 08/26/2024] [Indexed: 09/05/2024] Open
Abstract
PURPOSE One of the most frequent side effects of radical prostatectomy (RP) is urinary incontinence. The primary cause of urine incontinence is usually thought to be impaired urethral sphincter function; nevertheless, the pathophysiology and recovery process of urine incontinence remains unclear. This study aimed to identify potential risk variables, build a risk prediction tool that considers preoperative urodynamic findings, and direct doctors to take necessary action to reduce the likelihood of developing early urinary incontinence. METHODS We retrospectively screened patients who underwent radical prostatectomy between January 1, 2020 and December 31, 2023 at the First People 's Hospital of Nantong, China. According to nomogram results, patients who developed incontinence within three months were classified as having early incontinence. The training group's general characteristics were first screened using univariate logistic analysis, and the LASSO method was applied for the best prediction. Multivariate logistic regression analysis was carried out to determine independent risk factors for early postoperative urine incontinence in the training group and to create nomograms that predict the likelihood of developing early urinary incontinence. The model was internally validated by computing the performance of the validation cohort. The nomogram discrimination, correction, and clinical usefulness were assessed using the c-index, receiver operating characteristic curve, correction plot, and clinical decision curve. RESULTS The study involved 142 patients in all. Multivariate logistic regression analysis following RP found seven independent risk variables for early urinary incontinence. A nomogram was constructed based on these independent risk factors. The training and validation groups' c-indices showed that the model had high accuracy and stability. The calibration curve demonstrates that the corrective effect of the training and verification groups is perfect, and the area under the receiver operating characteristic curve indicates great identification capacity. Using a nomogram, the clinical net benefit was maximised within a probability threshold of 0.01-1, according to decision curve analysis (DCA). CONCLUSION The nomogram model created in this study can offer a clear, personalised analysis of the risk of early urine incontinence following RP. It is highly discriminatory and accurate, and it can help create efficient preventative measures and identify high-risk populations.
Collapse
Affiliation(s)
- Cheng Shen
- Department of Urology, Affiliated Hospital 2 of Nantong University, Nantong, China
- Jiangsu Nantong Urological Clinical Medical Center, Nantong, China
| | - Xu Zhu
- Department of Urology, Affiliated Hospital 2 of Nantong University, Nantong, China
- Medical Research Center, Affiliated Hospital 2 of Nantong University, Nantong, China
| | - Zhan Chen
- Department of Urology, Affiliated Hospital 2 of Nantong University, Nantong, China
- Jiangsu Nantong Urological Clinical Medical Center, Nantong, China
| | - Wei Zhang
- Department of Urology, Affiliated Hospital 2 of Nantong University, Nantong, China
| | - Xinfeng Chen
- Department of Urology, Affiliated Hospital 2 of Nantong University, Nantong, China
| | - Bing Zheng
- Department of Urology, Affiliated Hospital 2 of Nantong University, Nantong, China.
| | - Donghua Gu
- Department of Urology, Affiliated Hospital 2 of Nantong University, Nantong, China.
| |
Collapse
|
2
|
Feng T, Liang Z, Xiao Y, Pan B, Zhou Y, Ma C, Zhou Z, Yan W, Zhu M. Can a nomogram predict apical prostate cancer pathology upgrade from fusion biopsy to final pathology? A multicenter study. Cancer Med 2024; 13:e7341. [PMID: 38845479 PMCID: PMC11157165 DOI: 10.1002/cam4.7341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 04/05/2024] [Accepted: 05/12/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND This study evaluates the efficacy of a nomogram for predicting the pathology upgrade of apical prostate cancer (PCa). METHODS A total of 754 eligible patients were diagnosed with apical PCa through combined systematic and magnetic resonance imaging (MRI)-targeted prostate biopsy followed by radical prostatectomy (RP) were retrospectively identified from two hospitals (training: 754, internal validation: 182, internal-external validation: 148). A nomogram for the identification of apical tumors in high-risk pathology upgrades through comparing the results of biopsy and RP was established incorporating statistically significant risk factors based on univariable and multivariable logistic regression. The nomogram's performance was assessed via the receiver operating characteristic (ROC) curve, calibration plots, and decision curve analysis (DCA). RESULTS Univariable and multivariable analysis identified age, targeted biopsy, number of targeted cores, TNM stage, and the prostate imaging-reporting and data system score as significant predictors of apical tumor pathological progression. Our nomogram, based on these variables, demonstrated ROC curves for pathology upgrade with values of 0.883 (95% CI, 0.847-0.929), 0.865 (95% CI, 0.790-0.945), and 0.840 (95% CI, 0.742-0.904) for the training, internal validation and internal-external validation cohorts respectively. Calibration curves showed good consistency between the predicted and actual outcomes. The validation groups also showed great generalizability with the calibration curves. DCA results also demonstrated excellent performance for our nomogram with positive benefit across a threshold probability range of 0-0.9 for the training and internal validation group, and 0-0.6 for the internal-external validation group. CONCLUSION The nomogram, integrating clinical, radiological, and pathological data, effectively predicts the risk of pathology upgrade in apical PCa tumors. It holds significant potential to guide clinicians in optimizing the surgical management of these patients.
Collapse
Affiliation(s)
- Tianrui Feng
- Department of UrologyPeking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| | - Zhen Liang
- Department of UrologyPeking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| | - Yu Xiao
- Department of PathologyPeking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| | - Boju Pan
- Department of PathologyPeking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| | - Yi Zhou
- Department of UrologyPeking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| | - Chengquan Ma
- Department of UrologyTianjin Medical University General HospitalTianjinChina
| | - Zhien Zhou
- Department of UrologyPeking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| | - Weigang Yan
- Department of UrologyPeking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| | - Ming Zhu
- Department of UrologyPeking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| |
Collapse
|
3
|
Ongaro L, Rossin G, Biasatti A, Pacini M, Rizzo M, Traunero F, Piasentin A, Perotti A, Trombetta C, Bartoletti R, Zucchi A, Simonato A, Pavan N, Liguori G, Claps F. Fluorescence Confocal Microscopy in Urological Malignancies: Current Applications and Future Perspectives. Life (Basel) 2023; 13:2301. [PMID: 38137902 PMCID: PMC10744992 DOI: 10.3390/life13122301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 11/29/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023] Open
Abstract
Fluorescence confocal microscopy (FCM) represents a novel diagnostic technique able to provide real-time histological images from non-fixed specimens. As a consequence of its recent developments, FCM is gaining growing popularity in urological practice. Nevertheless, evidence is still sparse, and, at the moment, its applications are heterogeneous. We performed a narrative review of the current literature on this topic. Papers were selected from the Pubmed, Embase, and Medline archives. We focused on FCM applications in prostate cancer (PCa), urothelial carcinoma (UC), and renal cell carcinoma (RCC). Articles investigating both office and intraoperative settings were included. The review of the literature showed that FCM displays promising accuracy as compared to conventional histopathology. These results represent significant steps along the path of FCM's formal validation as an innovative ready-to-use diagnostic support in urological practice. Instant access to a reliable histological evaluation may indeed significantly influence physicians' decision-making process. In this regard, FCM addresses this still unmet clinical need and introduces intriguing perspectives into future diagnostic pathways. Further studies are required to thoroughly assess the whole potential of this technique.
Collapse
Affiliation(s)
- Luca Ongaro
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
| | - Giulio Rossin
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
| | - Arianna Biasatti
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
| | - Matteo Pacini
- Urology Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy; (M.P.); (A.P.); (R.B.); (A.Z.)
| | - Michele Rizzo
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
| | - Fabio Traunero
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
| | - Andrea Piasentin
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
| | - Alessandro Perotti
- Urology Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy; (M.P.); (A.P.); (R.B.); (A.Z.)
| | - Carlo Trombetta
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
| | - Riccardo Bartoletti
- Urology Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy; (M.P.); (A.P.); (R.B.); (A.Z.)
| | - Alessandro Zucchi
- Urology Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy; (M.P.); (A.P.); (R.B.); (A.Z.)
| | - Alchiede Simonato
- Urology Clinic, Department of Surgical, Oncological and Stomatological Sciences, University of Palermo, 90127 Palermo, Italy; (A.S.); (N.P.)
| | - Nicola Pavan
- Urology Clinic, Department of Surgical, Oncological and Stomatological Sciences, University of Palermo, 90127 Palermo, Italy; (A.S.); (N.P.)
| | - Giovanni Liguori
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
| | - Francesco Claps
- Urological Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, 34149 Trieste, Italy; (L.O.); (G.R.); (A.B.); (M.R.); (F.T.); (A.P.); (C.T.); (G.L.)
- Urology Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy; (M.P.); (A.P.); (R.B.); (A.Z.)
| |
Collapse
|
4
|
Shimizu F, Muto S, Kitamura K, China T, Shirakawa T, Kimura T, Ieda T, Nagata M, Isotani S, Nakagawa Y, Horie S. Robot-Assisted Radical Cystectomy with Modified Vesica Ileale Padovana (VIP) Neobladder Configuration Using a Hybrid Approach: Initial Experience. J Pers Med 2023; 13:jpm13050802. [PMID: 37240972 DOI: 10.3390/jpm13050802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/28/2023] Open
Abstract
PURPOSE We developed a new technique to fold a neobladder (NB) simply by using a modified Vesica Ileale Padovana (VIP) with a hybrid approach. We provide a step-by-step description of our technique as it was used in this initial experience. METHODS A total of 10 male patients with a median age of 66 years underwent robot-assisted radical cystectomy (RARC) with an orthotopic NB via a hybrid approach from March 2022 to February 2023. After the isolation of the bladder and bilateral pelvic lymphadenectomy, Wallace plate creation was performed, and the robot was undocked. We extracorporeally performed the removal of the specimen and a side-to-side ileoileal anastomosis, and then the VIP NB posterior plate was rotated 90 degrees counterclockwise using a 45 cm detubularized ileum. The robot was redocked; then, circumferential urethra-ileal anastomosis, side-to-middle anterior wall closure, and ureteric afferent limb anastomosis were performed. RESULTS The median estimated blood loss was 524 mL, and the mean operative time was 496 min. Patients had a high continence rate, and no high-grade complications were observed. CONCLUSION The NB configuration using the modified VIP method for a hybrid approach is a feasible surgical technique to minimize the movement of robotic forceps. In particular, it may be more useful in Asian individuals with narrow pelvises.
Collapse
Affiliation(s)
- Fumitaka Shimizu
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Satoru Muto
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Kosuke Kitamura
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Toshiyuki China
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Tomoya Shirakawa
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Tomoki Kimura
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Takeshi Ieda
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Masayoshi Nagata
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Shuji Isotani
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Yuki Nakagawa
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| | - Shigeo Horie
- Department of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan
| |
Collapse
|