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Buckley B, Elias Z, Khatri G, Young S, Kania L, Jha P, Shenoy-Bhangle A, Kielar A. Endometriosis MDC: role of the radiologist. Abdom Radiol (NY) 2025:10.1007/s00261-025-04920-0. [PMID: 40183801 DOI: 10.1007/s00261-025-04920-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2024] [Revised: 03/24/2025] [Accepted: 03/26/2025] [Indexed: 04/05/2025]
Abstract
Endometriosis presents a common and significant health burden affecting approximately 1 in 10 reproductive age patients who are assigned female at birth. Recently guidelines have begun shifting away from laparoscopy as the first-line diagnostic tool and instead recommend imaging for initial diagnosis and presurgical mapping of endometriosis. This shift places the radiologist in a central role for diagnosis and assessment of management efforts. During this comprehensive review article, we discuss the importance of MDC in the treatment of advanced endometriosis, the radiologist 's role at endometriosis MDC as well as the opportunities that exist for the radiologist to add-value in an endometriosis service.
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Affiliation(s)
| | | | | | | | - Leann Kania
- Thomas Jefferson University, Philadelphia, USA
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Kaneko M, Fujihara A, Iwata T, Ramacciotti LS, Palmer SL, Oishi M, Aron M, Cacciamani GE, Duddalwar V, Horiguchi G, Teramukai S, Ukimura O, Gill IS, Abreu AL. A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI. Int Braz J Urol 2024; 50:319-334. [PMID: 37450770 PMCID: PMC11152327 DOI: 10.1590/s1677-5538.ibju.2024.0084] [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: 02/11/2024] [Accepted: 02/16/2024] [Indexed: 04/12/2024] Open
Abstract
PURPOSE To create a nomogram to predict the absence of clinically significant prostate cancer (CSPCa) in males with non-suspicion multiparametric magnetic resonance imaging (mpMRI) undergoing prostate biopsy (PBx). MATERIALS AND METHODS We identified consecutive patients who underwent 3T mpMRI followed by PBx for suspicion of PCa or surveillance follow-up. All patients had Prostate Imaging Reporting and Data System score 1-2 (negative mpMRI). CSPCa was defined as Grade Group ≥2. Multivariate logistic regression analysis was performed via backward elimination. Discrimination was evaluated with area under the receiver operating characteristic (AUROC). Internal validation with 1,000x bootstrapping for estimating the optimism corrected AUROC. RESULTS Total 327 patients met inclusion criteria. The median (IQR) age and PSA density (PSAD) were 64 years (58-70) and 0.10 ng/mL2 (0.07-0.15), respectively. Biopsy history was as follows: 117 (36%) males were PBx-naive, 130 (40%) had previous negative PBx and 80 (24%) had previous positive PBx. The majority were White (65%); 6% of males self-reported Black. Overall, 44 (13%) patients were diagnosed with CSPCa on PBx. Black race, history of previous negative PBx and PSAD ≥0.15ng/mL2 were independent predictors for CSPCa on PBx and were included in the nomogram. The AUROC of the nomogram was 0.78 and the optimism corrected AUROC was 0.75. CONCLUSIONS Our nomogram facilitates evaluating individual probability of CSPCa on PBx in males with PIRADS 1-2 mpMRI and may be used to identify those in whom PBx may be safely avoided. Black males have increased risk of CSPCa on PBx, even in the setting of PIRADS 1-2 mpMRI.
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Affiliation(s)
- Masatomo Kaneko
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Kyoto Prefectural University of MedicineGraduate School of Medical ScienceDepartment of UrologyKyotoJapanDepartment of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Atsuko Fujihara
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Kyoto Prefectural University of MedicineGraduate School of Medical ScienceDepartment of UrologyKyotoJapanDepartment of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tsuyoshi Iwata
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Kyoto Prefectural University of MedicineGraduate School of Medical ScienceDepartment of UrologyKyotoJapanDepartment of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Lorenzo Storino Ramacciotti
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Suzanne L. Palmer
- University of Southern CaliforniaKeck School of MedicineDepartment of RadiologyLos AngelesCaliforniaUSADepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Masakatsu Oishi
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Kyoto Prefectural University of MedicineGraduate School of Medical ScienceDepartment of UrologyKyotoJapanDepartment of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Manju Aron
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- University of Southern CaliforniaKeck School of MedicineDepartment of PathologyLos AngelesCaliforniaUSADepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Giovanni E. Cacciamani
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- University of Southern CaliforniaKeck School of MedicineDepartment of RadiologyLos AngelesCaliforniaUSADepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Vinay Duddalwar
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- University of Southern CaliforniaKeck School of MedicineDepartment of RadiologyLos AngelesCaliforniaUSADepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Go Horiguchi
- University HospitalThe Clinical and Translational Research CenterDivision of Data ScienceKyotoJapanDivision of Data Science, The Clinical and Translational Research Center, University Hospital, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Satoshi Teramukai
- Kyoto Prefectural University of MedicineGraduate School of Medical ScienceDepartment of BiostatisticsKyotoJapanDepartment of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Osamu Ukimura
- Kyoto Prefectural University of MedicineGraduate School of Medical ScienceDepartment of UrologyKyotoJapanDepartment of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Inderbir S. Gill
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Andre Luis Abreu
- University of Southern CaliforniaUSC Institute of Urology and Catherine & Joseph ArestyCenter for Image-Guided SurgeryLos AngelesCaliforniaUSAUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- University of Southern CaliforniaKeck School of MedicineDepartment of RadiologyLos AngelesCaliforniaUSADepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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Diniz ALL, Resende JAD, de Andrade CM, Brandão AC, Gasparoni MP, Favorito LA. Urological knowledge and tools applied to diagnosis and surgery in deep infiltrating endometriosis - a narrative review. Int Braz J Urol 2023; 49:564-579. [PMID: 37450770 PMCID: PMC10482465 DOI: 10.1590/s1677-5538.ibju.2023.9907] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 05/19/2023] [Indexed: 07/18/2023] Open
Abstract
OBJECTIVES This review discusses deep infiltrating endometriosis (DIE) diagnosis and surgery using current urological knowledge and technologies. MATERIALS AND METHODS Narrative review of deep infiltrating endometriosis that result in urological issues. We examined manuscripts from Pubmed, Embase, and Scielo's database using the following MeSH terms: ('endometriosis') AND ('urology' OR 'urological' OR 'urologist') AND ('bladder' OR'vesical') AND ('ureteral' OR 'ureter').Selection followed PRISMA guidelines. Sample images from our records were brought to endorse the findings. RESULTS Thirty four related articles were chosen from 105. DIE may affect the urinary system in 52.6% of patients. Lower urinary tract symptoms may require urodynamic examination. Ultrasonography offers strong statistical yields for detecting urinary tract lesions or distortions, but magnetic resonance will confirm the diagnosis. Cystoscopy can detect active lesions, although any macroscopic visual appeal is pathognomonic. Endourology is utilized intraoperatively for bladder and ureteral assessment, however transurethral endoscopic excision of bladder lesions had higher recurrence rates. Laparoscopy is the route of choice for treatment; partial cystectomy, and bladder shaving were the most prevalent surgical treatments for bladder endometriosis. Regarding the ureteral treatment, the simple ureterolysis and complex reconstructive techniques were described in most papers. Using anatomical landmarks or neuronavigation, pelvic surgical systematization allows intraoperative neural structure identification. CONCLUSIONS DIE in the urinary system is common, however the number of publications with high level of evidence is limited. The initial tools for diagnosis are ultrasonography and cystoscopy, but magnetic resonance is the most reliable tool. When the patient has voiding symptoms, the urodynamic examination is crucial. Laparoscopy improves lesion detection and anatomical understanding. This approach must be carried out by professionals with high expertise, since the surgery goes beyond the resection of lesions and includes the preservation of nerve structures and urinary tract reconstruction techniques.
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Affiliation(s)
- André L. Lima Diniz
- Universidade do Estado do Rio de JaneiroUnidade de Pesquisa UrogenitalRio de JaneiroRJBrasilUnidade de Pesquisa Urogenital - Universidade do Estado do Rio de Janeiro - Uerj, Rio de Janeiro, RJ, Brasil
| | - José Anacleto D. Resende
- Universidade do Estado do Rio de JaneiroUnidade de Pesquisa UrogenitalRio de JaneiroRJBrasilUnidade de Pesquisa Urogenital - Universidade do Estado do Rio de Janeiro - Uerj, Rio de Janeiro, RJ, Brasil
| | - Cláudio M. de Andrade
- Universidade do Estado do Rio de JaneiroUnidade de Pesquisa UrogenitalRio de JaneiroRJBrasilUnidade de Pesquisa Urogenital - Universidade do Estado do Rio de Janeiro - Uerj, Rio de Janeiro, RJ, Brasil
| | - Alice C. Brandão
- Universidade do Estado do Rio de JaneiroUnidade de Pesquisa UrogenitalRio de JaneiroRJBrasilUnidade de Pesquisa Urogenital - Universidade do Estado do Rio de Janeiro - Uerj, Rio de Janeiro, RJ, Brasil
| | - Mauro P. Gasparoni
- Universidade do Estado do Rio de JaneiroUnidade de Pesquisa UrogenitalRio de JaneiroRJBrasilUnidade de Pesquisa Urogenital - Universidade do Estado do Rio de Janeiro - Uerj, Rio de Janeiro, RJ, Brasil
| | - Luciano A. Favorito
- Universidade do Estado do Rio de JaneiroUnidade de Pesquisa UrogenitalRio de JaneiroRJBrasilUnidade de Pesquisa Urogenital - Universidade do Estado do Rio de Janeiro - Uerj, Rio de Janeiro, RJ, Brasil
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Maciel C, Ferreira H, Djokovic D, Kyaw Tun J, Keckstein J, Rizzo S, Manganaro L. MRI of endometriosis in correlation with the #Enzian classification: applicability and structured report. Insights Imaging 2023; 14:120. [PMID: 37405519 DOI: 10.1186/s13244-023-01466-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/14/2023] [Indexed: 07/06/2023] Open
Abstract
Endometriosis represents one of the most common causes of life-impacting chronic pelvic pain and female infertility. Magnetic resonance imaging (MRI) plays an increasing role in the diagnosis and mapping of endometriosis, while diagnostic laparoscopy currently tends to be reserved for the patients with negative imaging results. The #Enzian, published in 2021, proposes a new comprehensive classification system of endometriosis, combining a complete staging of deep infiltrative endometriosis with the evaluation of peritoneal/ovarian/tubal localizations and the presence of adenomyosis. This article addresses in detail the applicability of the #Enzian classification, primarily based on surgical findings, to the MRI evaluation of the endometriosis. Overall, there is a significant matching between MRI features and the #Enzian classification criteria, two different perspectives of endometriosis mapping, with different goals and levels of detail. The main discrepancy lies in the evaluation of tubo-ovarian condition, which is not fully assessable by MRI. Furthermore, as endometriosis is a complex disease, usually multifocal, that can present with a myriad of imaging findings, MRI reporting should be clear and well organized. The authors group, both radiologists and gynecologists, propose a structured MRI report of endometriosis in correlation with the #Enzian classification, merging the detailed anatomical and pre-operative information provided by the MRI with the benefits of a comprehensive classification system of endometriosis in the clinical practice and research field.Critical relevance statement This article addresses in detail the applicability of the #Enzian classification, primarily based on surgical findings, to the MRI evaluation of the endometriosis and proposes a #Enzian-based structured MRI report.
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Affiliation(s)
- Cristina Maciel
- Serviço de Radiologia, Centro Hospitalar Universitário São João, Porto, Portugal.
- Departamento de Medicina, Faculdade de Medicina, Universidade do Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
| | - Hélder Ferreira
- Serviço de Ginecologia, Centro Materno Infantil do Norte, Centro Hospitalar Universitário do Porto, Largo do Prof. Abel Salazar, 4099-001, Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Rua de Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal
| | - Dusan Djokovic
- Maternidade Dr. Alfredo da Costa, Centro Hospitalar Universitário Lisboa Central (CHULC), Lisbon, Portugal
- Department of Obstetrics and Gynecology, NOVA Medical School - Faculdade de Ciências Médicas, NOVA University of Lisbon, Lisbon, Portugal
- Department of Obstetrics and Gynecology, Hospital CUF Descobertas, Lisbon, Portugal
| | - Jimmy Kyaw Tun
- Department of Interventional Radiology, The Royal London Hospital, Barts Health NHS Trust, London, E1 1BB, UK
| | - Jörg Keckstein
- Scientific Endometriosis Foundation (Stiftung Endometrioseforschung/SEF), Westerstede, Germany
- Endometriosis Clinic Dres. Keckstein, Villach, Austria
- University of Ulm, Ulm, Germany
| | - Stefania Rizzo
- Service of Radiology, Imaging Institute of Southern Switzerland, EOC, Via Tesserete 46, 6900, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università Della Svizzera Italiana, Via G. Buffi 13, 6900, Lugano, Switzerland
| | - Lucia Manganaro
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
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