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Sorce G, Hoeh B, Flammia RS, Chierigo F, Hohenhorst L, Panunzio A, Nimer N, Tian Z, Gandaglia G, Tilki D, Terrone C, Gallucci M, Chun FKH, Antonelli A, Saad F, Shariat SF, Montorsi F, Briganti A, Karakiewicz PI. Rates of metastatic prostate cancer in newly diagnosed patients: Numbers needed to image according to risk level. Prostate 2022; 82:1210-1218. [PMID: 35652586 DOI: 10.1002/pros.24376] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/07/2022] [Accepted: 05/13/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND The numbers needed to image to identify pelvic lymph node and/or distant metastases in newly diagnosed prostate cancer (PCa) patients according to risk level are unknown. METHODS Relying on Surveillance, Epidemiology, and End Results (2010-2016), we tabulated rates and proportions of patients with (a) lymph node or (b) distant metastases according to National Comprehensive Cancer Network (NCCN) risk level and calculated the number needed to image (NNI) for both endpoints. Multivariable logistic regression analyses were performed. RESULTS Of 145,939 newly diagnosed PCa patients assessable for analyses of pelvic lymph node metastases (cN1), 4559 (3.1%) harbored cN1 stage: 13 (0.02%), 18 (0.08%), 63 (0.3%), 512 (2.8%), and 3954 (14.9%) in low, intermediate favorable, intermediate unfavorable, high, and very high-risk levels. These resulted in NNI of 4619, 1182, 319, 35, and 7, respectively. Of 181,109 newly diagnosed PCa patients assessable for analyses of distant metastases (M1a-c ), 8920 (4.9%) harbored M1a-c stage: 50 (0.07%), 45 (0.1%), 161 (0.5%), 1290 (5.1%), and 7374 (22.0%) in low, intermediate favorable, intermediate unfavorable, high, and very high-risk. These resulted in NNI of 1347, 602, 174, 20, and 5, respectively. CONCLUSIONS Our observations perfectly validated the NCCN recommendations for imaging in newly diagnosed high and very high-risk PCa patients. However, in unfavorable intermediate-risk PCa patients, in whom bone and soft tissue imaging is recommended, the NNI might be somewhat elevated to support routine imaging in clinical practice.
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Affiliation(s)
- Gabriele Sorce
- Department of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
| | - Benedikt Hoeh
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Urology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Rocco S Flammia
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Maternal-Child and Urological Sciences, Policlinico Umberto I Hospital, Sapienza University Rome, Rome, Italy
| | - Francesco Chierigo
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genova, Genova, Italy
| | - Lukas Hohenhorst
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Andrea Panunzio
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
- Department of Urology, Azienda Ospedaliera Universitaria Integrata di Verona, University of Verona, Verona, Italy
| | - Nancy Nimer
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
| | - Zhe Tian
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
| | - Giorgio Gandaglia
- Department of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Derya Tilki
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany
- Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
- Department of Urology, Koc University Hospital, Istanbul, Turkey
| | - Carlo Terrone
- Department of Surgical and Diagnostic Integrated Sciences (DISC), University of Genova, Genova, Italy
| | - Michele Gallucci
- Department of Maternal-Child and Urological Sciences, Policlinico Umberto I Hospital, Sapienza University Rome, Rome, Italy
| | - Felix K H Chun
- Department of Urology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Alessandro Antonelli
- Department of Urology, Azienda Ospedaliera Universitaria Integrata di Verona, University of Verona, Verona, Italy
| | - Fred Saad
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
| | - Shahrokh F Shariat
- Departments of Urology, Weill Cornell Medical College, New York, New York, USA
- Department of Urology, Second Faculty of Medicine, Charles University, Praga, Czech Republic
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
- Institute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
- Division of Urology, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan
- Department of Urology, University of Texas Southwestern, Dallas, Texas, USA
| | - Francesco Montorsi
- Department of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alberto Briganti
- Department of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Pierre I Karakiewicz
- Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada
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Zhang X, Chen Z. Tumor-Specificity Growth Factor Combined with Tumor Markers in Nuclear Medicine Imaging to Identify Prostate Cancer Osteonosus. J Healthc Eng 2021; 2021:7380120. [PMID: 34925738 PMCID: PMC8683177 DOI: 10.1155/2021/7380120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 09/13/2021] [Accepted: 10/25/2021] [Indexed: 01/13/2023]
Abstract
Objective This study has explored the application value of malignant tumor SPE growth factor (TSGF) combined with tumor markers (TM) (TSGF + TM) in nuclear medicine imaging to identify prostate cancer osteonosus (PCO). Methods A retrospective analysis for 70 patients with prostate cancer and bone disease admitted to our hospital was performed, 30 healthy persons in the same period were selected as the control group, and the advantages and disadvantages of various examinations were analyzed. All patients were diagnosed with PET whole body bone imaging. Suspicious lesions could be examined by MRI or CT. According to the results of imaging examination, patients were divided into 40 cases of malignant prostate cancer and 30 cases of benign prostate cancer. All the patients underwent 18F-FDG-PET imaging, alpha-fetoprotein (AFP), and TSGF + TM determination. The case diagnosis results were compared and analyzed, and the sensitivity (SEN), specificity (SPE), and accuracy (ACC) of various detection methods were calculated. The SEN, SPE, and ACC of positron emission tomography (PET) were 90.9%, 57.8%, and 81.2%, respectively; those of TM were 79.2%, 94.6%, and 69.8%, respectively; and those of TSGF + TM were 95.9%, 100%, and 97.3%, respectively. The accuracy of combined diagnosis of tumors can reach 100%. The AFP and TSGF levels of serum TM were compared and analyzed, and it was found that the benign lesion group and the malignant lesion group showed significant increases compared with the control group, and the difference between the malignant lesion group and the control group was obvious (P < 0.05). SGF combined with TM could obtain a more definite diagnosis in PCO. Conclusion TSGF + TM combined with 18F-FDG-PET imaging showed important clinical value to diagnose the PCO. The imaging accuracy of TSGF + TM combined with 18F-FDG-PET is 97.3%, and the specificity of tumor diagnosis is 100%. Therefore, the TSGF + TM applied in medical imaging and identification of PCO was worthy of clinical promotion.
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Affiliation(s)
- Xuemin Zhang
- Shaanxi University of Chinese Medicine, Clinical Medicine of Chinese and Western Medicine, Hanzhong, Shaanxi 723000, China
| | - Zhengfu Chen
- Shaanxi University of Chinese Medicine, Clinical Medicine of Chinese and Western Medicine, Hanzhong, Shaanxi 723000, China
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