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Friedman CF, Manning-Geist BL, Zhou Q, Soumerai T, Holland A, Da Cruz Paula A, Green H, Ozsoy MA, Iasonos A, Hollmann T, Leitao MM, Mueller JJ, Makker V, Tew WP, O'Cearbhaill RE, Liu YL, Rubinstein MM, Troso-Sandoval T, Lichtman SM, Schram A, Kyi C, Grisham RN, Causa Andrieu P, Wherry EJ, Aghajanian C, Weigelt B, Hensley ML, Zamarin D. Nivolumab for mismatch-repair-deficient or hypermutated gynecologic cancers: a phase 2 trial with biomarker analyses. Nat Med 2024; 30:1330-1338. [PMID: 38653864 DOI: 10.1038/s41591-024-02942-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 03/25/2024] [Indexed: 04/25/2024]
Abstract
Programmed death-1 (PD-1) inhibitors are approved for therapy of gynecologic cancers with DNA mismatch repair deficiency (dMMR), although predictors of response remain elusive. We conducted a single-arm phase 2 study of nivolumab in 35 patients with dMMR uterine or ovarian cancers. Co-primary endpoints included objective response rate (ORR) and progression-free survival at 24 weeks (PFS24). Secondary endpoints included overall survival (OS), disease control rate (DCR), duration of response (DOR) and safety. Exploratory endpoints included biomarkers and molecular correlates of response. The ORR was 58.8% (97.5% confidence interval (CI): 40.7-100%), and the PFS24 rate was 64.7% (97.5% one-sided CI: 46.5-100%), meeting the pre-specified endpoints. The DCR was 73.5% (95% CI: 55.6-87.1%). At the median follow-up of 42.1 months (range, 8.9-59.8 months), median OS was not reached. One-year OS rate was 79% (95% CI: 60.9-89.4%). Thirty-two patients (91%) had a treatment-related adverse event (TRAE), including arthralgia (n = 10, 29%), fatigue (n = 10, 29%), pain (n = 10, 29%) and pruritis (n = 10, 29%); most were grade 1 or grade 2. Ten patients (29%) reported a grade 3 or grade 4 TRAE; no grade 5 events occurred. Exploratory analyses show that the presence of dysfunctional (CD8+PD-1+) or terminally dysfunctional (CD8+PD-1+TOX+) T cells and their interaction with programmed death ligand-1 (PD-L1)+ cells were independently associated with PFS24. PFS24 was associated with presence of MEGF8 or SETD1B somatic mutations. This trial met its co-primary endpoints (ORR and PFS24) early, and our findings highlight several genetic and tumor microenvironment parameters associated with response to PD-1 blockade in dMMR cancers, generating rationale for their validation in larger cohorts.ClinicalTrials.gov identifier: NCT03241745 .
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Affiliation(s)
- Claire F Friedman
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Beryl L Manning-Geist
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Qin Zhou
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Tara Soumerai
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aliya Holland
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Arnaud Da Cruz Paula
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hunter Green
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Melih Arda Ozsoy
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexia Iasonos
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Travis Hollmann
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mario M Leitao
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, USA
| | - Jennifer J Mueller
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, USA
| | - Vicky Makker
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - William P Tew
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Roisin E O'Cearbhaill
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Ying L Liu
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Maria M Rubinstein
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Tiffany Troso-Sandoval
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Stuart M Lichtman
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Alison Schram
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Chrisann Kyi
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Rachel N Grisham
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Pamela Causa Andrieu
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - E John Wherry
- Institute of Immunology,University of Pennsylvania, Philadelphia, PA, USA
| | - Carol Aghajanian
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Martee L Hensley
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Dmitriy Zamarin
- Tisch Cancer Institute,Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Woo S, Andrieu PC, Abu-Rustum NR, Broach V, Zivanovic O, Sonoda Y, Chi DS, Aviki E, Ellis A, Carayon P, Hricak H, Vargas HA. Bridging Communication Gaps Between Radiologists, Referring Physicians, and Patients Through Standardized Structured Cancer Imaging Reporting: The Experience with Female Pelvic MRI Assessment Using O-RADS and a Simulated Cohort Patient Group. Acad Radiol 2024; 31:1388-1397. [PMID: 37661555 DOI: 10.1016/j.acra.2023.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/02/2023] [Accepted: 08/05/2023] [Indexed: 09/05/2023]
Abstract
RATIONALE AND OBJECTIVES This study aimed to evaluate whether implementing structured reporting based on Ovarian-Adnexal Reporting and Data System (O-RADS) magnetic resonance imaging (MRI) in women with sonographically indeterminate adnexal masses improves communication between radiologists, referrers, and patients/caregivers and enhances diagnostic performance for determining adnexal malignancy. MATERIALS AND METHODS We retrospectively analyzed prospectively issued MRI reports in 2019-2022 performed for characterizing adnexal masses before and after implementing O-RADS MRI; 56 patients/caregivers and nine gynecologic oncologists ("referrers") were surveyed about report interpretability/clarity/satisfaction; responses for pre- and post-implementation reports were compared using Fisher's exact and Chi-squared tests. Diagnostic performance was assessed using receiver operating characteristic curves. RESULTS A total of 123 reports from before and 119 reports from after O-RADS MRI implementation were included. Survey response rates were 35.7% (20/56) for patients/caregivers and 66.7% (6/9) for referrers. For patients/caregivers, O-RADS MRI reports were clearer (p < 0.001) and more satisfactory (p < 0.001) than unstructured reports, but interpretability did not differ significantly (p = 0.14), as 28.0% (28/100) of postimplementation and 38.0% (38/100) of preimplementation reports were considered difficult to interpret. For referrers, O-RADS MRI reports were clearer, more satisfactory, and easier to interpret (p < 0.001); only 1.3% (1/77) were considered difficult to interpret. For differentiating benign from malignant adnexal lesions, O-RADS MRI showed area under the curve of 0.92 (95% confidence interval [CI], 0.85-0.99), sensitivity of 0.81 (95% CI, 0.58-0.95), and specificity of 0.91 (95% CI, 0.83-0.96). Diagnostic performance of reports before implementation could not be calculated due to many different phrases used to describe the likelihood of malignancy. CONCLUSION Implementing standardized structured reporting using O-RADS MRI for characterizing adnexal masses improved clarity and satisfaction for patients/caregivers and referrers. Interpretability improved for referrers but remained limited for patients/caregivers.
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Affiliation(s)
- Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065 (S.W., P.C.A., H.H.); Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016 (S.W., H.A.V.).
| | - Pamela Causa Andrieu
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065 (S.W., P.C.A., H.H.)
| | - Nadeem R Abu-Rustum
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York (N.R.A.-R., V.B., O.Z., Y.S., D.S.C.)
| | - Vance Broach
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York (N.R.A.-R., V.B., O.Z., Y.S., D.S.C.)
| | - Oliver Zivanovic
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York (N.R.A.-R., V.B., O.Z., Y.S., D.S.C.); Department of Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (O.Z.)
| | - Yukio Sonoda
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York (N.R.A.-R., V.B., O.Z., Y.S., D.S.C.)
| | - Dennis S Chi
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York (N.R.A.-R., V.B., O.Z., Y.S., D.S.C.)
| | - Emeline Aviki
- Department of Obstetrics and Gynecology, NYU Long Island School of Medicine, Mineola, New York (E.A.)
| | - Annie Ellis
- Patient Family Advisory Council for Quality (PFACQ), Memorial Sloan Kettering Cancer Center, New York, New York (A.E.)
| | - Pascale Carayon
- Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin (P.C.)
| | - Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065 (S.W., P.C.A., H.H.)
| | - Hebert A Vargas
- Department of Radiology, NYU Langone Health, 660 1st Avenue, New York, NY, 10016 (S.W., H.A.V.)
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Miranda J, Causa Andrieu P, Nincevic J, Gomes de Farias LDP, Khasawneh H, Arita Y, Stanietzky N, Fernandes MC, De Castria TB, Horvat N. Advances in MRI-Based Assessment of Rectal Cancer Post-Neoadjuvant Therapy: A Comprehensive Review. J Clin Med 2023; 13:172. [PMID: 38202179 PMCID: PMC10780006 DOI: 10.3390/jcm13010172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/14/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Rectal cancer presents significant diagnostic and therapeutic challenges, with neoadjuvant therapy playing a pivotal role in improving resectability and patient outcomes. MRI serves as a critical tool in assessing treatment response. However, differentiating viable tumor tissue from therapy-induced changes on MRI remains a complex task. In this comprehensive review, we explore treatment options for rectal cancer based on resectability status, focusing on the role of MRI in guiding therapeutic decisions. We delve into the nuances of MRI-based evaluation of treatment response following neoadjuvant therapy, paying particular attention to emerging techniques like radiomics. Drawing from our insights based on the literature, we provide essential recommendations for post-neoadjuvant therapy management of rectal cancer, all within the context of MRI-based findings.
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Affiliation(s)
- Joao Miranda
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
- Department of Radiology, University of Sao Paulo, R. Dr. Ovidio Pires de Campos, 75 Cerqueira Cesar, Sao Paulo 05403-010, Brazil
| | - Pamela Causa Andrieu
- Department of Radiology, Mayo Clinic, 200 First St. SW, Rochester, MN 55905, USA;
| | - Josip Nincevic
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
| | - Lucas de Padua Gomes de Farias
- Department of Radiology, Hospital Sirio-Libanes, Rua Dona Adma Jafet, 91—Bela Vista, Sao Paulo 01308-050, Brazil;
- Department of Radiology, Allianca Saude, Av. Pres. Juscelino Kubitschek, 1830, Sao Paulo 01308-050, Brazil
| | - Hala Khasawneh
- Department of Radiology, University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX 75390, USA;
| | - Yuki Arita
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
- Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Nir Stanietzky
- Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Maria Clara Fernandes
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
| | - Tiago Biachi De Castria
- Department of Gastrointestinal Oncology, Moffit Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA;
- Morsani College of Medicine, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
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4
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Andrieu PC, Nikolovski I, Juluru K, Sadowski E, Gangai N, Zheng J, Capanu M, Praiss AM, Nougaret S, Shinagare AB, Ma W, Torrisi JM, Sonoda Y, Chi DS, Lakhman Y. Synoptic Reporting for Pretreatment CT Examination in Patients With Advanced Ovarian Cancer: Impact on Documentation of Disease Sites and Physician Satisfaction. AJR Am J Roentgenol 2023; 221:760-772. [PMID: 37436033 DOI: 10.2214/ajr.23.29096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
BACKGROUND. Imaging reports that consistently document all disease sites with a potential to increase surgical complexity or morbidity can facilitate ovarian cancer treatment planning. OBJECTIVE. The aims of this study were to compare simple structured reports and synoptic reports from pretreatment CT examinations in patients with advanced ovarian cancer in terms of completeness of documenting involvement of clinically relevant anatomic sites as well as to evaluate physician satisfaction with synoptic reports. METHODS. This retrospective study included 205 patients (median age, 65 years) who underwent contrast-enhanced abdominopelvic CT before primary treatment of advanced ovarian cancer from June 1, 2018, to January 31, 2022. A total of 128 reports generated on or before March 31, 2020, used a simple structured report (free text organized into sections); 77 reports generated on or after April 1, 2020, used a synoptic report (a list of 45 anatomic sites relevant to ovarian cancer management, each of which was classified in terms of disease absence versus presence). Reports were reviewed for completeness of documentation of involvement of the 45 sites. For patients who underwent neoadjuvant chemotherapy based on diagnostic laparoscopy findings or underwent primary debulking surgery with suboptimal resection, the EMR was reviewed to identify surgically established sites of disease that were unresectable or challenging to resect. Gynecologic oncology surgeons were electronically surveyed. RESULTS. The mean report turnaround time was 29.8 minutes for simple structured reports versus 54.5 minutes for synoptic reports (p < .001). A mean of 17.6 of 45 sites (range, four to 43 sites) were mentioned by simple structured reports versus 44.5 of 45 sites (range, 39-45) for synoptic reports (p < .001). Forty-three patients had surgically established unresectable or challenging-to-resect disease; involvement of anatomic site(s) with such disease was mentioned in 37% (11/30) of simple structured reports versus 100% (13/13) of synoptic reports (p < .001). All eight surveyed gynecologic oncology surgeons completed the survey. CONCLUSION. A synoptic report improved completeness of pretreatment CT reports in patients with advanced ovarian cancer, including for established sites of unresectable or challenging-to-resect disease. CLINICAL IMPACT. The findings indicate the role of disease-specific synoptic reports in facilitating referrer communication and potentially guiding clinical decision-making.
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Affiliation(s)
- Pamela Causa Andrieu
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1265 York Ave, New York, NY 10065
| | - Ines Nikolovski
- Radiology Department, Royal North Shore Hospital, Saint Leonards, Australia
| | - Krishna Juluru
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1265 York Ave, New York, NY 10065
| | - Elizabeth Sadowski
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Natalie Gangai
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1265 York Ave, New York, NY 10065
| | - Junting Zheng
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Marinela Capanu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Aaron M Praiss
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Stephanie Nougaret
- Department of Radiology, Cancer Institute of Montpellier, Montpellier, France
| | - Atul B Shinagare
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Weining Ma
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1265 York Ave, New York, NY 10065
| | - Jean M Torrisi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1265 York Ave, New York, NY 10065
| | - Yukio Sonoda
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Dennis S Chi
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yulia Lakhman
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1265 York Ave, New York, NY 10065
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5
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Stanzione A, Hornia EA, Moreira ASL, Russo L, Andrieu PC, Carnelli C, Cuocolo R, Brembilla G, Zawaideh JP. Dissemination of endometrial cancer MRI staging guidelines among young radiologists: an ESUR Junior Network survey. Insights Imaging 2023; 14:143. [PMID: 37667135 PMCID: PMC10477141 DOI: 10.1186/s13244-023-01491-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 07/31/2023] [Indexed: 09/06/2023] Open
Abstract
OBJECTIVES Imaging guidelines could play an important role in the training of radiologists, but the extent of their adoption in residency programs is unclear. With this survey, the European Society of Urogenital Radiology (ESUR) Junior Network aimed to assess the dissemination of the ESUR guidelines on endometrial cancer MRI staging (EC-ESUR guidelines) among young radiologists. METHODS An online questionnaire targeted to last year radiology residents and radiologists in the first year of their career was designed. It included 24 questions, structured in 4 sections (i.e., background, general, acquisition protocol, interpretation, and reporting). The survey was active between April and May 2022, accepting answers worldwide. Answers were solicited with a social media campaign and with the support of national scientific societies. Subgroup analysis was performed based on variables such as subspecialty of interest and number of EC-ESUR guidelines consultations using the Wilcoxon rank sum test. RESULTS In total, 118 participants completed the questionnaire, of which 94 (80%) were from Europe and 46 (39%) with a special interest in urogenital radiology. Overall, 68 (58%) stated that the guidelines were not part of their residency teaching programs while 32 (27%) had never even consulted the guidelines. Interest in urogenital radiology as a subspecialty and EC-ESUR guidelines consultations were associated with greater confidence in supervising scan acquisition, interpreting, and reporting EC MRI staging exams. CONCLUSION Four years after publication, the adoption of EC-ESUR guidelines in residency programs is heterogeneously low. Despite a possible selection bias, our findings indicate that active promotion of EC-ESUR guidelines is required. KEY POINTS • The adoption of ESUR guidelines on endometrial cancer in radiology residency programs is heterogeneous. • Almost one third of respondents stated they had never even consulted the guidelines. • Confidence toward guidelines was higher in those who were exposed to more endometrial cancer MRI staging scans. • Reading the guidelines was associated with a greater confidence in protocol acquisition, interpretation, and reporting. • Active efforts to promote their dissemination are required.
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Affiliation(s)
- Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | | | | | - Luca Russo
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | | | - Carlos Carnelli
- Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
| | - Giorgio Brembilla
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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Horvat N, Causa Andrieu P, Meier A, Ji X, Lakhman Y, Soslow R, Allison D, Gangai N, Rodriguez L, Kattan MW, Chi DS, Hricak H. A preoperative nomogram incorporating CT to predict the probability of ovarian clear cell carcinoma. Gynecol Oncol 2023; 176:90-97. [PMID: 37478617 PMCID: PMC10529038 DOI: 10.1016/j.ygyno.2023.06.579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/20/2023] [Accepted: 06/28/2023] [Indexed: 07/23/2023]
Abstract
OBJECTIVES To evaluate clinical, laboratory, and radiological variables from preoperative contrast-enhanced computed tomography (CECT) for their ability to distinguish ovarian clear cell carcinoma (OCCC) from non-OCCC and to develop a nomogram to preoperatively predict the probability of OCCC. METHODS This IRB-approved, retrospective study included consecutive patients who underwent surgery for an ovarian tumor from 1/1/2000 to 12/31/2016 and CECT of the abdomen and pelvis ≤90 days before primary debulking surgery. Using a standardized form, two experienced oncologic radiologists independently analyzed imaging features and provided a subjective 5-point impression of the probability of the histological diagnosis. Nomogram models incorporating clinical, laboratory, and radiological features were created to predict histological diagnosis of OCCC over non-OCCC. RESULTS The final analysis included 533 patients with surgically confirmed OCCC (n = 61) and non-OCCC (n = 472); history of endometriosis was more often found in patients with OCCC (20% versus 3.6%; p < 0.001), while CA-125 was significantly higher in patients with non-OCCC (351 ng/mL versus 70 ng/mL; p < 0.001). A nomogram model incorporating clinical (age, history of endometriosis and adenomyosis), laboratory (CA-125) and imaging findings (peritoneal implant distribution, morphology, laterality, and diameter of ovarian lesion and of the largest solid component) had an AUC of 0.9 (95% CI: 0.847, 0.949), which was comparable to the AUCs of the experienced radiologists' subjective impressions [0.8 (95% CI: 0.822, 0.891) and 0.9 (95% CI: 0.865, 0.936)]. CONCLUSIONS A presurgical nomogram model incorporating readily accessible clinical, laboratory, and CECT variables was a powerful predictor of OCCC, a subtype often requiring a distinctive treatment approach.
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Affiliation(s)
- Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA
| | - Pamela Causa Andrieu
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA
| | - Andreas Meier
- Department of Radiology, University Hospital of Zurich, Ramistrasse 100, 8091 Zurich, Switzerland
| | - Xinge Ji
- Department of Quantitative Health Sciences, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44195, USA
| | - Yulia Lakhman
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA
| | - Robert Soslow
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA
| | - Douglas Allison
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA
| | - Natalie Gangai
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA
| | - Lee Rodriguez
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA
| | - Michael W Kattan
- Department of Quantitative Health Sciences, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44195, USA
| | - Dennis S Chi
- Gynecologic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA
| | - Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, NY, New York 10065, USA.
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Cheng M, Causa Andrieu P, Kim TH, Gangai N, Sonoda Y, Hricak H, Lakhman Y, Vargas HA, Woo S. Fat-containing adnexal masses on MRI: solid tissue volume and fat distribution as a guide for O-RADS Score assignment. Abdom Radiol (NY) 2023; 48:358-366. [PMID: 36173552 DOI: 10.1007/s00261-022-03688-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 01/21/2023]
Abstract
PURPOSE To explore ways to improve O-RADS MRI scoring for fat-containing adnexal masses, by investigating methods for quantifying solid tissue volume and fat distribution and evaluating their associations with malignancy. METHODS This retrospective, single-center study included patients with fat-containing adnexal masses on MRI during 2008-2021. Two radiologists independently reviewed overall size (Sizeoverall), size of any solid tissue (Sizeanysolid), size of solid tissue that was not Rokitansky nodule (Sizenon-Rokitansky), and fat distribution. Wilcoxon test, Fisher-exact test, and ROC curve analysis were performed. Reference standard was pathology or follow-up > 24 months. RESULTS 188 women (median age 35 years) with 163 benign and 25 malignant lesions were included. Sizeoverall (R1, 9.9 cm vs 5.9 cm; R2, 12.4 cm vs 6.0 cm), Sizeanysolid (R1, 5.1 cm vs 1.2 cm; R2, 3.2 cm vs 0.0 cm), Sizenon-Rokitansky (R1, 5.1 cm vs 0.0 cm; R2, 3.1 cm vs 0.0 cm), and fat distribution differed significantly between malignant and benign lesions (p < 0.01). Area under ROC curve was greatest using Sizenon-Rokitansky (R1, 0.83; R2, 0.86) vs Sizeoverall (R1, 0.78; R2, 0.81) or Sizeanysolid (R1, 0.79; R2, 0.81), though differences were non-significant (p = 0.48-0.93). Cutoffs for Sizenon-Rokitansky (R1, ≥ 1.2 cm; R2, ≥ 1.0 cm) yielded sensitivity and specificity of 0.72 and 0.93 (R1) and 0.76 and 0.95 (R2). Among immature teratomas, 85.7% displayed scattered fat. CONCLUSION Overall size, size of (any or non-Rokitansky-nodule) solid tissue, and fat distribution differed between benign and malignant fat-containing adnexal masses. Incorporating these would constitute simple and practical approaches to refining O-RADS MRI scoring.
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Affiliation(s)
- Monica Cheng
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Pamela Causa Andrieu
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Tae-Hyung Kim
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Natalie Gangai
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yukio Sonoda
- Department of Surgery, Gynecology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yulia Lakhman
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hebert A Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Causa Andrieu P, Golia Pernicka JS, Yaeger R, Lupton K, Batch K, Zulkernine F, Simpson AL, Taya M, Gazit L, Nguyen H, Nicholas K, Gangai N, Sevilimedu V, Dickinson S, Paroder V, Bates DD, Do R. Natural Language Processing of Computed Tomography Reports to Label Metastatic Phenotypes With Prognostic Significance in Patients With Colorectal Cancer. JCO Clin Cancer Inform 2022; 6:e2200014. [PMID: 36103642 PMCID: PMC9848599 DOI: 10.1200/cci.22.00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 06/04/2022] [Accepted: 08/04/2022] [Indexed: 01/21/2023] Open
Abstract
PURPOSE Natural language processing (NLP) applied to radiology reports can help identify clinically relevant M1 subcategories of patients with colorectal cancer (CRC). The primary purpose was to compare the overall survival (OS) of CRC according to American Joint Committee on Cancer TNM staging and explore an alternative classification. The secondary objective was to estimate the frequency of metastasis for each organ. METHODS Retrospective study of CRC who underwent computed tomography (CT) chest, abdomen, and pelvis between July 1, 2009, and March 26, 2019, at a tertiary cancer center, previously labeled for the presence or absence of metastasis by an NLP prediction model. Patients were classified in M0, M1a, M1b, and M1c (American Joint Committee on Cancer), or an alternative classification on the basis of the metastasis organ number: M1, single; M2, two; M3, three or more organs. Cox regression models were used to estimate hazard ratios; Kaplan-Meier curves were used to visualize survival curves using the two M1 subclassifications. RESULTS Nine thousand nine hundred twenty-eight patients with a total of 48,408 CT chest, abdomen, and pelvis reports were included. On the basis of NLP prediction, the median OS of M1a, M1b, and M1c was 4.47, 1.72, and 1.52 years, respectively. The median OS of M1, M2, and M3 was 4.24, 2.05, and 1.04 years, respectively. Metastases occurred most often in liver (35.8%), abdominopelvic lymph nodes (32.9%), lungs (29.3%), peritoneum (22.0%), thoracic nodes (19.9%), bones (9.2%), and pelvic organs (7.5%). Spleen and adrenal metastases occurred in < 5%. CONCLUSION NLP applied to a large radiology report database can identify clinically relevant metastatic phenotypes and be used to investigate new M1 substaging for CRC. Patients with three or more metastatic disease organs have the worst prognosis, with an OS of 1 year.
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Affiliation(s)
| | | | - Rona Yaeger
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kaelan Lupton
- School of Computing, Queens University, Kingston, Canada
| | - Karen Batch
- School of Computing, Queens University, Kingston, Canada
| | | | | | - Michio Taya
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Lior Gazit
- Department of Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Huy Nguyen
- Department of Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kevin Nicholas
- Department of Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Natalie Gangai
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Varadan Sevilimedu
- Biostatistics Service, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Shannan Dickinson
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Viktoriya Paroder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David D.B. Bates
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Richard Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
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Andrieu PC, Woo S, Kim TH, Kertowidjojo E, Hodgson A, Sun S. New imaging modalities to distinguish rare uterine mesenchymal cancers from benign uterine lesions. Curr Opin Oncol 2021; 33:464-475. [PMID: 34172593 PMCID: PMC8376762 DOI: 10.1097/cco.0000000000000758] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE OF REVIEW Uterine sarcomas are rare and are often challenging to differentiate on imaging from benign mimics, such as leiomyoma. As functional MRI techniques have improved and new adjuncts, such as machine learning and texture analysis, are now being investigated, it is helpful to be aware of the current literature on imaging features that may sometimes allow for preoperative distinction. RECENT FINDINGS MRI, with both conventional and functional imaging, is the modality of choice for evaluating uterine mesenchymal tumors, especially in differentiating uterine leiomyosarcoma from leiomyoma through validated diagnostic algorithms. MRI is sometimes helpful in differentiating high-grade stromal sarcoma from low-grade stromal sarcoma or differentiating endometrial stromal sarcoma from endometrial carcinoma. However, imaging remains nonspecific for evaluating rarer neoplasms, such as uterine tumor resembling ovarian sex cord tumor or perivascular epithelioid cell tumor, primarily because of the small number and power of relevant studies. SUMMARY Through advances in MRI techniques and novel investigational imaging adjuncts, such as machine learning and texture analysis, imaging differentiation of malignant from benign uterine mesenchymal tumors has improved and could help reduce morbidity relating to misdiagnosis or diagnostic delays.
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Affiliation(s)
| | - Sungmin Woo
- Department of Radiology. Memorial Sloan Kettering Cancer Center
| | - Tae-Hyung Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
- Department of Radiology, Naval Pohang Hospital, Pohang, Korea
| | | | | | - Simon Sun
- Department of Radiology. Hospital for Special Surgery
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