Ovarian cancer reporting lexicon for computed tomography (CT) and magnetic resonance (MR) imaging developed by the SAR Uterine and Ovarian Cancer Disease-Focused Panel and the ESUR Female Pelvic Imaging Working Group

Atul B Shinagare, Elizabeth A Sadowski, Hyesun Park, Olga R Brook, Rosemarie Forstner, Sumer K Wallace, Jeanne M Horowitz, Neil Horowitz, Marcia Javitt, Priyanka Jha, Aki Kido, Yulia Lakhman, Susanna I Lee, Lucia Manganaro, Katherine E Maturen, Stephanie Nougaret, Liina Poder, Gaiane M Rauch, Caroline Reinhold, Evis Sala, Isabelle Thomassin-Naggara, Herbert Alberto Vargas, Aradhana Venkatesan, Olivera Nikolic, Andrea G Rockall, Atul B Shinagare, Elizabeth A Sadowski, Hyesun Park, Olga R Brook, Rosemarie Forstner, Sumer K Wallace, Jeanne M Horowitz, Neil Horowitz, Marcia Javitt, Priyanka Jha, Aki Kido, Yulia Lakhman, Susanna I Lee, Lucia Manganaro, Katherine E Maturen, Stephanie Nougaret, Liina Poder, Gaiane M Rauch, Caroline Reinhold, Evis Sala, Isabelle Thomassin-Naggara, Herbert Alberto Vargas, Aradhana Venkatesan, Olivera Nikolic, Andrea G Rockall

Abstract

Objectives: Imaging evaluation is an essential part of treatment planning for patients with ovarian cancer. Variation in the terminology used for describing ovarian cancer on computed tomography (CT) and magnetic resonance (MR) imaging can lead to ambiguity and inconsistency in clinical radiology reports. The aim of this collaborative project between Society of Abdominal Radiology (SAR) Uterine and Ovarian Cancer (UOC) Disease-focused Panel (DFP) and the European Society of Uroradiology (ESUR) Female Pelvic Imaging (FPI) Working Group was to develop an ovarian cancer reporting lexicon for CT and MR imaging.

Methods: Twenty-one members of the SAR UOC DFP and ESUR FPI working group, one radiology clinical fellow, and two gynecologic oncology surgeons formed the Ovarian Cancer Reporting Lexicon Committee. Two attending radiologist members of the committee prepared a preliminary list of imaging terms that was sent as an online survey to 173 radiologists and gynecologic oncologic physicians, of whom 67 responded to the survey. The committee reviewed these responses to create a final consensus list of lexicon terms.

Results: An ovarian cancer reporting lexicon was created for CT and MR Imaging. This consensus-based lexicon has 6 major categories of terms: general, adnexal lesion-specific, peritoneal carcinomatosis-specific, lymph node-specific, metastatic disease -specific, and fluid-specific.

Conclusions: This lexicon for CT and MR imaging evaluation of ovarian cancer patients has the capacity to improve the clarity and consistency of reporting disease sites seen on imaging.

Key points: • This reporting lexicon for CT and MR imaging provides a list of consensus-based, standardized terms and definitions for reporting sites of ovarian cancer on imaging at initial diagnosis or follow-up. • Use of standardized terms and morphologic imaging descriptors can help improve interdisciplinary communication of disease extent and facilitate optimal patient management. • The radiologists should identify and communicate areas of disease, including difficult to resect or potentially unresectable disease that may limit the ability to achieve optimal resection.

Keywords: CT; Lexicon; MRI; Ovarian cancer; Staging.

Conflict of interest statement

Conflict of Interest:

The authors of this manuscript declare the following relationships outside the subject matter: [Table: see text]

© 2021. The Author(s), under exclusive licence to European Society of Radiology.

Figures

Figure 1:
Figure 1:
Schematic chart illustrating peritoneal sites that would present either a challenge or obstacle to resection or would upstage the disease, using lexicon descriptors for peritoneal disease (A), lymph nodes (B), and metastatic disease other than peritoneal carcinomatosis (C).
Figure 1:
Figure 1:
Schematic chart illustrating peritoneal sites that would present either a challenge or obstacle to resection or would upstage the disease, using lexicon descriptors for peritoneal disease (A), lymph nodes (B), and metastatic disease other than peritoneal carcinomatosis (C).
Figure 1:
Figure 1:
Schematic chart illustrating peritoneal sites that would present either a challenge or obstacle to resection or would upstage the disease, using lexicon descriptors for peritoneal disease (A), lymph nodes (B), and metastatic disease other than peritoneal carcinomatosis (C).
Figure 1:
Figure 1:
Schematic chart illustrating peritoneal sites that would present either a challenge or obstacle to resection or would upstage the disease, using lexicon descriptors for peritoneal disease (A), lymph nodes (B), and metastatic disease other than peritoneal carcinomatosis (C).

References

    1. Ovarian Cancer Statistics – Ovarian Cancer Research Alliance. In: OCRA. . Accessed 16 Mar 2020
    1. Torre LA, Trabert B, DeSantis CE, et al. (2018) Ovarian cancer statistics, 2018. CA Cancer J Clin 68:284–296. 10.3322/caac.21456
    1. Chi DS, Musa F, Dao F, et al. (2012) An analysis of patients with bulky advanced stage ovarian, tubal, and peritoneal carcinoma treated with primary debulking surgery (PDS) during an identical time period as the randomized EORTC-NCIC trial of PDS vs neoadjuvant chemotherapy (NACT). Gynecol Oncol 124:10–14. 10.1016/j.ygyno.2011.08.014
    1. Forstner R, Sala E, Kinkel K, et al. (2010) ESUR guidelines: ovarian cancer staging and follow-up. Eur Radiol 20:2773–2780. 10.1007/s00330-010-1886-4
    1. Expert Panel on Women’s Imaging:, Kang SK, Reinhold C, et al. (2018) ACR Appropriateness Criteria® Staging and Follow-Up of Ovarian Cancer. J Am Coll Radiol JACR 15:S198–S207. 10.1016/j.jacr.2018.03.015
    1. Suidan RS, Ramirez PT, Sarasohn DM, et al. (2017) A multicenter assessment of the ability of preoperative computed tomography scan and CA-125 to predict gross residual disease at primary debulking for advanced epithelial ovarian cancer. Gynecol Oncol 145:27–31. 10.1016/j.ygyno.2017.02.020
    1. Rizzo S, De Piano F, Buscarino V, et al. (2020) Pre-operative evaluation of epithelial ovarian cancer patients: Role of whole body diffusion weighted imaging MR and CT scans in the selection of patients suitable for primary debulking surgery. A single-centre study. Eur J Radiol 123:108786. 10.1016/j.ejrad.2019.108786
    1. Castellani F, Nganga EC, Dumas L, et al. (2019) Imaging in the pre-operative staging of ovarian cancer. Abdom Radiol N Y 44:685–696. 10.1007/s00261-018-1779-6
    1. Chandrashekhara SH, Triveni GS, Kumar R (2016) Imaging of peritoneal deposits in ovarian cancer: A pictorial review. World J Radiol 8:513–517. 10.4329/wjr.v8.i5.513
    1. Elsayes KM, Kielar AZ, Chernyak V, et al. (2019) LI-RADS: a conceptual and historical review from its beginning to its recent integration into AASLD clinical practice guidance. J Hepatocell Carcinoma 6:49–69. 10.2147/JHC.S186239
    1. Grant EG, Tessler FN, Hoang JK, et al. (2015) Thyroid Ultrasound Reporting Lexicon: White Paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee. J Am Coll Radiol JACR 12:1272–1279. 10.1016/j.jacr.2015.07.011
    1. Weinreb JC, Barentsz JO, Choyke PL, et al. (2016) PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. Eur Urol 69:16–40. 10.1016/j.eururo.2015.08.052
    1. D’Orsi CJ SE, et al. ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. Reston, VA, American College of Radiology. 2013
    1. Andreotti RF, Timmerman D, Strachowski LM, et al. (2020) O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee. Radiology 294:168–185. 10.1148/radiol.2019191150
    1. Burnside ES, Sickles EA, Bassett LW, et al. (2009) The ACR BI-RADS experience: learning from history. J Am Coll Radiol JACR 6:851–860. 10.1016/j.jacr.2009.07.023
    1. Chhatwal J, Alagoz O, Lindstrom MJ, et al. (2009) A logistic regression model based on the national mammography database format to aid breast cancer diagnosis. AJR Am J Roentgenol 192:1117–1127. 10.2214/AJR.07.3345
    1. Lee B, Whitehead MT (2017) Radiology Reports: What YOU Think You’re Saying and What THEY Think You’re Saying. Curr Probl Diagn Radiol 46:186–195. 10.1067/j.cpradiol.2016.11.005
    1. Magnetta MJ, Donovan AL, Jacobs BL, et al. (2018) Evidence-Based Reporting: A Method to Optimize Prostate MRI Communications With Referring Physicians. AJR Am J Roentgenol 210:108–112. 10.2214/AJR.17.18260
    1. Wibmer A, Vargas HA, Sosa R, et al. (2014) Value of a standardized lexicon for reporting levels of diagnostic certainty in prostate MRI. AJR Am J Roentgenol 203:W651–657. 10.2214/AJR.14.12654
    1. Franconeri A, Boos J, Fang J, et al. (2019) Adnexal mass staging CT with a disease-specific structured report compared to simple structured report. Eur Radiol 29:4851–4860. 10.1007/s00330-019-06037-7
    1. Margolies LR, Pandey G, Horowitz ER, Mendelson DS (2016) Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining. AJR Am J Roentgenol 206:259–264. 10.2214/AJR.15.15396
    1. O-RADS MR Lexicon Categories, Terms and Definitions. . Accessed 31 Oct 2020
    1. ISRCTN - ISRCTN51246892: MR in ovarian cancer. . Accessed 31 Oct 2020
    1. Eisenhauer EA, Therasse P, Bogaerts J, et al. (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer Oxf Engl 1990 45:228–247. 10.1016/j.ejca.2008.10.026
    1. Prat J FIGO Committee on Gynecologic Oncology (2014) Staging classification for cancer of the ovary, fallopian tube, and peritoneum. Int J Gynaecol Obstet Off Organ Int Fed Gynaecol Obstet 124:1–5. 10.1016/j.ijgo.2013.10.001
    1. Berek JS, Kehoe ST, Kumar L, Friedlander M (2018) Cancer of the ovary, fallopian tube, and peritoneum. Int J Gynaecol Obstet Off Organ Int Fed Gynaecol Obstet 143 Suppl 2:59–78. 10.1002/ijgo.12614
    1. Eskander RN, Kauderer J, Tewari KS, et al. (2018) Correlation between Surgeon’s assessment and radiographic evaluation of residual disease in women with advanced stage ovarian cancer reported to have undergone optimal surgical cytoreduction: An NRG Oncology/Gynecologic Oncology Group study. Gynecol Oncol 149:525–530. 10.1016/j.ygyno.2018.03.043
    1. O’Neill AC, Somarouthu B, Tirumani SH, et al. (2017) Patterns and Prognostic Importance of Hepatic Involvement in Patients with Serous Ovarian Cancer: A Single-Institution Experience with 244 Patients. Radiology 282:160–170. 10.1148/radiol.2016152595
    1. Andreotti RF, Timmerman D, Benacerraf BR, et al. (2018) Ovarian-Adnexal Reporting Lexicon for Ultrasound: A White Paper of the ACR Ovarian-Adnexal Reporting and Data System Committee. J Am Coll Radiol JACR 15:1415–1429. 10.1016/j.jacr.2018.07.004
    1. Pannu HK, Bristow RE, Montz FJ, Fishman EK (2003) Multidetector CT of peritoneal carcinomatosis from ovarian cancer. Radiogr Rev Publ Radiol Soc N Am Inc 23:687–701. 10.1148/rg.233025105
    1. Pannu HK, Oliphant M (2015) The subperitoneal space and peritoneal cavity: basic concepts. Abdom Imaging 40:2710–2722. 10.1007/s00261-015-0429-5
    1. Hauptmann S, Friedrich K, Redline R, Avril S (2017) Ovarian borderline tumors in the 2014 WHO classification: evolving concepts and diagnostic criteria. Virchows Arch Int J Pathol 470:125–142. 10.1007/s00428-016-2040-8
    1. Hansell DM, Bankier AA, MacMahon H, et al. (2008) Fleischner Society: glossary of terms for thoracic imaging. Radiology 246:697–722. 10.1148/radiol.2462070712
    1. Vargas HA, Huang EP, Lakhman Y, et al. (2017) Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group. Radiology 285:482–492. 10.1148/radiol.2017161870
    1. (2011) NCI Dictionary of Cancer Terms. In: Natl. Cancer Inst. . Accessed 8 Aug 2019
    1. Seltzer SE (1987) Analysis of the tethered-bowel sign on abdominal CT as a predictor of malignant ascites. Gastrointest Radiol 12:245–249
    1. Tirkes T, Sandrasegaran K, Patel AA, et al. (2012) Peritoneal and retroperitoneal anatomy and its relevance for cross-sectional imaging. Radiogr Rev Publ Radiol Soc N Am Inc 32:437–451. 10.1148/rg.322115032
    1. Brink JA, Wagner BJ (2018) Pathways for the Spread of Disease in the Abdomen and Pelvis. In: Hodler J, Kubik-Huch RA, von Schulthess GK (eds) Diseases of the Abdomen and Pelvis 2018–2021: Diagnostic Imaging - IDKD Book. Springer International Publishing, Cham, pp 57–65
    1. Nougaret S, Addley HC, Colombo PE, et al. (2012) Ovarian carcinomatosis: how the radiologist can help plan the surgical approach. Radiogr Rev Publ Radiol Soc N Am Inc 32:1775–1800; discussion 1800–1803. 10.1148/rg.326125511
    1. Nougaret S, Lakhman Y, Reinhold C, et al. (2016) The Wheel of the Mesentery: Imaging Spectrum of Primary and Secondary Mesenteric Neoplasms--How Can Radiologists Help Plan Treatment?: Resident and Fellow Education Feature. Radiogr Rev Publ Radiol Soc N Am Inc 36:412–413. 10.1148/rg.2016150186
    1. Auh YH, Rubenstein WA, Markisz JA, et al. (1986) Intraperitoneal paravesical spaces: CT delineation with US correlation. Radiology 159:311–317. 10.1148/radiology.159.2.3515415
    1. Sahdev A (2016) CT in ovarian cancer staging: how to review and report with emphasis on abdominal and pelvic disease for surgical planning. Cancer Imaging Off Publ Int Cancer Imaging Soc 16:19. 10.1186/s40644-016-0076-2
    1. Jager GJ, Barentsz JO, Oosterhof GO, et al. (1996) Pelvic adenopathy in prostatic and urinary bladder carcinoma: MR imaging with a three-dimensional TI-weighted magnetization-prepared-rapid gradient-echo sequence. AJR Am J Roentgenol 167:1503–1507. 10.2214/ajr.167.6.8956585
    1. Rockall AG, Sohaib SA, Harisinghani MG, et al. (2005) Diagnostic performance of nanoparticle-enhanced magnetic resonance imaging in the diagnosis of lymph node metastases in patients with endometrial and cervical cancer. J Clin Oncol Off J Am Soc Clin Oncol 23:2813–2821. 10.1200/JCO.2005.07.166
    1. Ganeshalingam S, Koh D-M (2009) Nodal staging. Cancer Imaging Off Publ Int Cancer Imaging Soc 9:104–111. 10.1102/1470-7330.2009.0017
    1. Shinagare AB, Davenport MS, Park H, et al. (2020) Lexicon for renal mass terms at CT and MRI: a consensus of the society of abdominal radiology disease-focused panel on renal cell carcinoma. Abdom Radiol N Y. 10.1007/s00261-020-02644-x
    1. Go JL, Zee CS (1998) Unique CT imaging advantages. Hemorrhage and calcification. Neuroimaging Clin N Am 8:541–558
    1. El-Sherief AH, Lau CT, Wu CC, et al. (2014) International association for the study of lung cancer (IASLC) lymph node map: radiologic review with CT illustration. Radiogr Rev Publ Radiol Soc N Am Inc 34:1680–1691. 10.1148/rg.346130097
    1. Bazemore AW, Smucker DR (2002) Lymphadenopathy and malignancy. Am Fam Physician 66:2103–2110
    1. Efremidou EI (2012) Surgical anatomy of the axilla. Hell J Surg 84:128–133. 10.1007/s13126-012-0015-z
    1. McIntosh LJ, O’Neill AC, Bhanusupriya S, et al. (2017) Prognostic significance of supradiaphragmatic lymph nodes at initial presentation in patients with stage III high-grade serous ovarian cancer. Abdom Radiol N Y 42:2513–2520. 10.1007/s00261-017-1158-8
    1. Hynninen J, Auranen A, Carpén O, et al. (2012) FDG PET/CT in staging of advanced epithelial ovarian cancer: frequency of supradiaphragmatic lymph node metastasis challenges the traditional pattern of disease spread. Gynecol Oncol 126:64–68. 10.1016/j.ygyno.2012.04.023
    1. Restrepo CS, Eraso A, Ocazionez D, et al. (2008) The diaphragmatic crura and retrocrural space: normal imaging appearance, variants, and pathologic conditions. Radiogr Rev Publ Radiol Soc N Am Inc 28:1289–1305. 10.1148/rg.285075187
    1. Im H-J, Kim Y-I, Paeng JC, et al. (2012) Retrocrural Lymph Node Metastasis Disclosed by (18)F-FDG PET/CT: A Predictor of Supra-diaphragmatic Spread in Ovarian Cancer. Nucl Med Mol Imaging 46:41–47. 10.1007/s13139-011-0115-7
    1. Mirilas P, Skandalakis JE (2010) Surgical anatomy of the retroperitoneal spaces, Part III: Retroperitoneal blood vessels and lymphatics. Am Surg 76:139–144
    1. Lucey BC, Stuhlfaut JW, Soto JA (2005) Mesenteric lymph nodes seen at imaging: causes and significance. Radiogr Rev Publ Radiol Soc N Am Inc 25:351–365. 10.1148/rg.252045108
    1. Valentini V, Gambacorta MA, Barbaro B, et al. (2016) International consensus guidelines on Clinical Target Volume delineation in rectal cancer. Radiother Oncol J Eur Soc Ther Radiol Oncol 120:195–201. 10.1016/j.radonc.2016.07.017
    1. Bontumasi N, Jacobson JA, Caoili E, et al. (2014) Inguinal lymph nodes: size, number, and other characteristics in asymptomatic patients by CT. Surg Radiol Anat SRA 36:1051–1055. 10.1007/s00276-014-1255-0
    1. Akin O, Sala E, Moskowitz CS, et al. (2008) Perihepatic metastases from ovarian cancer: sensitivity and specificity of CT for the detection of metastases with and those without liver parenchymal invasion. Radiology 248:511–517. 10.1148/radiol.2482070371
    1. Kerr VE, Cadman E (1985) Pulmonary metastases in ovarian cancer. Analysis of 357 patients. Cancer 56:1209–1213. 10.1002/1097-0142(19850901)56:5<1209::aid-cncr2820560542>;2-y
    1. Shinagare AB, O’Neill AC, Cheng S, et al. (2015) Advanced High-Grade Serous Ovarian Cancer: Frequency and Timing of Thoracic Metastases and the Implications for Chest Imaging Follow-up. Radiology 277:733–740. 10.1148/radiol.2015142467
    1. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) Ovarian Cancer—ovarian.pdf.

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