1
|
Bourourou R, Nougaret S, Rockall A, Bazot M, Razakamanantsoa L, Thomassin-Naggara I. Apparent diffusion coefficient analysis of solid tissue helps distinguish borderline from invasive malignant adnexal masses rated O-RADS MRI 4. Diagn Interv Imaging 2024; 105:386-394. [PMID: 38879367 DOI: 10.1016/j.diii.2024.05.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 10/01/2024]
Abstract
PURPOSE The purpose of this study was to evaluate the contribution of apparent diffusion coefficient (ADC) analysis of the solid tissue of adnexal masses to optimize tumor characterization and possibly refine the risk stratification of the O-RADS MRI 4 category. MATERIALS AND METHODS The EURAD cohort was retrospectively analyzed to select all patients with an adnexal mass with solid tissue and feasible ADC measurements. Two radiologists independently measured the ADC values of solid tissue, excluding necrotic areas, surrounding structures, and magnetic susceptibility artifacts. Significant differences in diffusion quantitative parameters in the overall population and according to the morphological aspect of solid tissue were analyzed to identify its impact on ADC reliability. Receiver operating characteristics curve (ROC) was used to determine the optimum cutoff of the ADC for distinguishing invasive from non-invasive tumors in the O-RADS MRI score 4 population. RESULTS The final study population included 180 women with a mean age of 57 ± 15.5 (standard deviation) years; age range: 19-95 years) with 93 benign, 23 borderline, and 137 malignant masses. The median ADC values of solid tissue was greater in borderline masses (1.310 × 10-3 mm2/s (Q1, Q3: 1.152, 1.560 × 10-3 mm2/s) than in benign masses (1.035 × 10-3 mm2/s; Q1, Q3: 0.900, 1.560 × 10-3 mm2/s) (P= 0.002) and in benign tumors compared by comparison with invasive masses (0.850 × 10-3 mm2/s; Q1, Q3: 0.750, 0.990 × 10-3 mm2/s) (P < 0.001). Solid tissue corresponded to irregular septa or papillary projection in 18.6% (47/253), to a mural nodule or a mixed mass in 46.2% (117/253), and to a purely solid mass in 35.2% (89/253) of adnexal masses. In mixed masses or masses with mural nodule subgroup, invasive masses had a significantly lower ADC (0.830 × 10-3 mm2/s (Q1, Q3: 0.738, 0.960) than borderline (1.385; Q1, Q3: 1.300, 1.930) (P= 0.0012) and benign masses (P= 0.04). An ADC cutoff of 1.08 × 10-3 mm2/s yielded 71.4% sensitivity and 100% specificity for identifying invasive lesions in the mixed or mural nodule subgroup with an AUC of 0.92 (95% confidence interval: 0.76-0.99). CONCLUSION ADC analysis of solid tissue of adnexal masses could help distinguish invasive masses within the O-RADS MRI 4 category, especially in mixed masses or those with mural nodule.
Collapse
Affiliation(s)
- Rimeh Bourourou
- Assistance Publique-Hôpitaux de Paris, Department of Imaging and Interventional Radiology, Hôpital Tenon, 75020, Paris, France.
| | - Stephanie Nougaret
- Department of Radiology, Montpellier Cancer Institute and Montpellier Research Cancer Institute, PINKcc Lab, U1194, 34090, Montpellier, France
| | - Andrea Rockall
- Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, SW7 2AZ, London, UK
| | - Marc Bazot
- Assistance Publique-Hôpitaux de Paris, Department of Imaging and Interventional Radiology, Hôpital Tenon, 75020, Paris, France; Sorbonne Université, INSERM UMR S 938, CRSA, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 75012, Paris, France
| | - Leo Razakamanantsoa
- Assistance Publique-Hôpitaux de Paris, Department of Imaging and Interventional Radiology, Hôpital Tenon, 75020, Paris, France; Sorbonne Université, INSERM UMR S 938, CRSA, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 75012, Paris, France
| | - Isabelle Thomassin-Naggara
- Assistance Publique-Hôpitaux de Paris, Department of Imaging and Interventional Radiology, Hôpital Tenon, 75020, Paris, France; Sorbonne Université, INSERM UMR S 938, CRSA, Hôpital Saint-Antoine, Assistance Publique-Hôpitaux de Paris, 75012, Paris, France
| |
Collapse
|
2
|
Kılıçkap G, Dölek BA, Kaya S, Çevik NI. Reliability, reproducibility, and potential pitfalls of the O-RADS scoring with non-dynamic MRI. Acta Radiol 2024:2841851241279897. [PMID: 39344299 DOI: 10.1177/02841851241279897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
BACKGROUND The O-RADS scoring has been proposed to standardize the reporting of adnexal lesions using magnetic resonance imaging (MRI). PURPOSE To assess intra- and inter-observer agreement of the O-RADS scoring using non-dynamic MRI and its agreement with pathologic diagnosis, and to provide the pitfalls in the scoring based on discordant ratings. MATERIAL AND METHODS Adnexal lesions that were diagnosed using non-dynamic MRI at two centers were scored using O-RADS. Intra- and inter-observer agreements were assessed using kappa statistics. Cross-tabulations were made for intra- and inter-observer ratings and for O-RADS scores and pathological findings. RESULTS Intra- and inter-observer agreements were assessed for 404 lesions in 339 patients who were admitted to center 1. Intra-observer agreement was almost perfect (97.8%, kappa = 0.963) and inter-observer agreement was substantial (83.2%, kappa = 0.730). The combined data from center 1 and center 2 included 496 patients; of them, 295 (59.5%) were operated. There was no borderline or malignant pathology for the lesions with O-RADS 1 or 2. Of those with an O-RADS score of 3, 3 (4.1%) lesions were borderline and none were malignant. The O-RADS scoring in discriminating borderline/malignant lesions from benign lesions was outstanding (area under the ROC curve 0.950, 95% CI = 0.923-0.971). Sensitivity, specificity, positive, and negative predictive values of O-RADS 4/5 lesions for borderline/malignant lesions were 96.2%, 87.1%, 72.8%, and 98.4%, respectively. CONCLUSION The O-RADS scoring using non-dynamic MRI is a reproducible method and has good discrimination for borderline/malignant lesions. Potential factors that may lead to discordant ratings are provided here.
Collapse
Affiliation(s)
- Gulsum Kılıçkap
- Radiology Department, T.C. Ministry of Health, Ankara Bilkent City Hospital, Ankara, Türkiye
| | - Betül Akdal Dölek
- Radiology Department, T.C. Ministry of Health, Ankara Bilkent City Hospital, Ankara, Türkiye
| | - Serhat Kaya
- Radiology Department, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye
| | - Numan Ilteriş Çevik
- Radiology Department, T.C. Ministry of Health, Ankara Bilkent City Hospital, Ankara, Türkiye
| |
Collapse
|
3
|
Salman S, Shireen N, Riyaz R, Khan SA, Singh JP, Uttam A. Magnetic resonance imaging evaluation of gynecological mass lesions: A comprehensive analysis with histopathological correlation. Medicine (Baltimore) 2024; 103:e39312. [PMID: 39121288 PMCID: PMC11315570 DOI: 10.1097/md.0000000000039312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Accepted: 07/25/2024] [Indexed: 08/11/2024] Open
Abstract
Evaluating gynecological mass lesions and reviewing their morphological characteristics based on their imaging appearance on magnetic resonance imaging (MRI), and correlating the MRI findings with histopathological findings, was the central theme of our study. This observational cross-sectional study was conducted on 60 female patients with clinically suspected gynecological mass lesions upon physical examination and/or ultrasonography, referred for MRI at a tertiary care hospital over a 1-year period between June 2022 and July 2023. A broad spectrum of differential diagnoses of gynecological masses was observed. In our study, the ratio of benign versus malignant disease was 1.6:1, with 37 benign and 23 malignant masses identified. The most common benign masses were uterine fibroids (n = 14; 23.3%), followed by endometriosis (n = 8; 13.3%), and ovarian dermoid cysts (n = 4; 6.6%). Among the malignant lesions, cervical cancer was the most common (n = 11; 18.3%), followed by endometrial carcinoma (n = 7; 11.6%), ovarian carcinoma (n = 3; 5%), and vaginal carcinoma (n = 2; 3%). Benign lesions mostly appeared hypo- to isointense on T1-weighted imaging and iso- to hyperintense on T2-weighted imaging, while malignant lesions appeared isointense on T1-weighted and hyperintense on T2-weighted imaging. Hemorrhage and fat were well appreciated on MRI and aided in diagnosis. T2 shading was present in 7 out of 8 endometriotic cysts, demonstrating a specificity of 100% and a sensitivity of 83%. For determining parametrial invasion in cervical carcinoma, MRI showed an accuracy of 91%, specificity of 100%, and positive predictive value, negative predictive value, and sensitivity of 100%, 75%, and 88%, respectively. In cases of endometrial carcinoma, MRI demonstrated a sensitivity and specificity of 87% and 91%, respectively, with a positive predictive value of 87% and a negative predictive value of 91% for identifying myometrial invasion greater than 50%. Compared to other modalities, MRI provided substantial information regarding uterine and adnexal masses and surrounding structures, facilitating accurate staging of lesions.
Collapse
Affiliation(s)
- Syed Salman
- Department of Radiodiagnosis, Max Super Specialty Hospital, Mohali, India
| | - Nabeela Shireen
- Department of Radiodiagnosis, Max Super Specialty Hospital, Mohali, India
| | - Romana Riyaz
- Department of Radiodiagnosis, Shadan Institute of Medical Sciences, Hyderabad, India
| | | | - Janender Pal Singh
- Department of Radiodiagnosis, Max Super Specialty Hospital, Mohali, India
| | - Anuj Uttam
- Department of Radiodiagnosis, Max Super Specialty Hospital, Mohali, India
| |
Collapse
|
4
|
Patel-Lippmann KK, Wasnik AP, Akin EA, Andreotti RF, Ascher SM, Brook OR, Eskander RN, Feldman MK, Jones LP, Martino MA, Patel MD, Patlas MN, Revzin MA, VanBuren W, Yashar CM, Kang SK. ACR Appropriateness Criteria® Clinically Suspected Adnexal Mass, No Acute Symptoms: 2023 Update. J Am Coll Radiol 2024; 21:S79-S99. [PMID: 38823957 DOI: 10.1016/j.jacr.2024.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 06/03/2024]
Abstract
Asymptomatic adnexal masses are commonly encountered in daily radiology practice. Although the vast majority of these masses are benign, a small subset have a risk of malignancy, which require gynecologic oncology referral for best treatment outcomes. Ultrasound, using a combination of both transabdominal, transvaginal, and duplex Doppler technique can accurately characterize the majority of these lesions. MRI with and without contrast is a useful complementary modality that can help characterize indeterminate lesions and assess the risk of malignancy is those that are suspicious. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
Collapse
Affiliation(s)
| | | | - Esma A Akin
- The George Washington University Medical Center, Washington, District of Columbia; Commission on Nuclear Medicine and Molecular Imaging
| | | | - Susan M Ascher
- MedStar Georgetown University Hospital, Washington, District of Columbia
| | - Olga R Brook
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Ramez N Eskander
- University of California, San Diego, San Diego, California; American College of Obstetricians and Gynecologists
| | | | - Lisa P Jones
- Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin A Martino
- Ascension St. Vincent's, Jacksonville, Florida; University of South Florida, Tampa, Florida, Gynecologic oncologist
| | | | - Michael N Patlas
- Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Margarita A Revzin
- Yale University School of Medicine, New Haven, Connecticut; Committee on Emergency Radiology-GSER
| | | | - Catheryn M Yashar
- University of California, San Diego, San Diego, California; Commission on Radiation Oncology
| | - Stella K Kang
- Specialty Chair, New York University Medical Center, New York, New York
| |
Collapse
|
5
|
Thomassin-Naggara I, Dabi Y, Florin M, Saltel-Fulero A, Manganaro L, Bazot M, Razakamanantsoa L. O-RADS MRI SCORE: An Essential First-Step Tool for the Characterization of Adnexal Masses. J Magn Reson Imaging 2024; 59:720-736. [PMID: 37550825 DOI: 10.1002/jmri.28947] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/09/2023] Open
Abstract
The ovarian-adnexal reporting and data system on magnetic resonance imaging (O-RADS MRI) score is now a well-established tool to characterize pelvic gynecological masses based on their likelihood of malignancy. The main added value of O-RADS MRI over O-RADS US is to correctly reclassify lesions that were considered suspicious on US as benign on MRI. The crucial issue when characterizing an adnexal mass is to determine the presence/absence of solid tissue and thus need to perform gadolinium injection. O-RADS MR score was built on a multivariate analysis and must be applied as a step-by-step analysis: 1) Is the mass an adnexal mass? 2) Is there an associated peritoneal carcinomatosis? 3) Is there any significant amount of fatty content? 4) Is there any wall enhancement? 5) Is there any internal enhancement? 6) When an internal enhancement is detected, does the internal enhancement correspond to solid tissue or not? 7) Is the solid tissue malignant? With its high value to distinguish benign from malignant adnexal masses and its high reproducibility, the O-RADS MRI score could be a valuable tool for timely referral of a patient to an expert center for the treatment of ovarian cancers. Finally, to make a precise diagnosis allowing optimal personalized treatment, the radiologist in gynecological imaging will combine the O-RADS MRI score with many other clinical, biological, and other MR criteria to suggest a pathological hypothesis. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 3.
Collapse
Affiliation(s)
- I Thomassin-Naggara
- Assistante Publique des Hôpitaux de Paris, Department of Radiology Imaging and Interventional Radiology (IRIS), Tenon Hospital, APHP, Sorbonne University, 75005, Paris, Paris, France
- Saint-Antoine Research Cancer Center, Sorbonne University, Paris, France
| | - Y Dabi
- Department of Obstetrics and Reproductive Medicine, Tenon Hospital, Paris, France
| | - M Florin
- Assistante Publique des Hôpitaux de Paris, Department of Radiology Imaging and Interventional Radiology (IRIS), Tenon Hospital, APHP, Sorbonne University, 75005, Paris, Paris, France
| | - A Saltel-Fulero
- Department of Radiology, Georges-Pompidou European Hospital, APHP, Paris, France
| | | | - M Bazot
- Assistante Publique des Hôpitaux de Paris, Department of Radiology Imaging and Interventional Radiology (IRIS), Tenon Hospital, APHP, Sorbonne University, 75005, Paris, Paris, France
| | - L Razakamanantsoa
- Assistante Publique des Hôpitaux de Paris, Department of Radiology Imaging and Interventional Radiology (IRIS), Tenon Hospital, APHP, Sorbonne University, 75005, Paris, Paris, France
- Saint-Antoine Research Cancer Center, Sorbonne University, Paris, France
| |
Collapse
|
6
|
Moradi B, Rahmani M, Aghasi M, Yarandi F, Malek M, Hosseini A, Ghafouri K, Hasan Zadeh Tabatabaei MS, Shirali E, Riahi Samani P, Firouznia S. Modified MR scoring system for assessment of sonographically indeterminate ovarian and adnexal masses in the absence of dynamic contrast-enhanced. Br J Radiol 2024; 97:150-158. [PMID: 38263830 PMCID: PMC11027275 DOI: 10.1093/bjr/tqad005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/30/2023] [Accepted: 10/25/2023] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVES Dynamic contrast-enhanced (DCE) MRI is not available in all imaging centres to investigate adnexal masses. We proposed modified magnetic resonance (MR) scoring system based on an assessment of the enhancement of the solid tissue on early phase postcontrast series and diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) map and investigated the validity of this protocols in the current study. MATERIALS AND METHODS In this cross-sectional retrospective study, pelvic MRI of a total of 245 patients with 340 adnexal masses were studied based on the proposed modified scoring system and ADNEX MR scoring system. RESULTS Modified scoring system with the sensitivity of 87.3% and specificity of 94.6% has an accuracy of 92.1%. Sensitivity, specificity, and accuracy of ADNEX MR scoring system is 96.6%, 91%, and 92.9%, respectively. The area under the receiver operating characteristic curve for the modified scoring system and ADNEX MR scoring system is 0.909 (with 0.870-0.938 95% confidence interval [CI]) and 0.938 (with 0.907-0.961 95% CI), respectively. Pairwise comparison of these area under the curves showed no significant difference (P = .053). CONCLUSIONS Modified scoring system is less sensitive than the ADNEX MR scoring system and more specific but the accuracy is not significantly different. ADVANCES IN KNOWLEDGE According to our study, MR scoring system based on subjective assessment of the enhancement of the solid tissue on early phase postcontrast series and DWI with ADC map could be applicable in imaging centres that DCE is not available.
Collapse
Affiliation(s)
- Behnaz Moradi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, 1419733141, Iran
| | - Maryam Rahmani
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, 1419733141, Iran
| | - Maryam Aghasi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, 141973141, Iran
| | - Fariba Yarandi
- Department of Gynecologic Oncology, Women Yas Hospital Complex, Tehran University of Medical Science, Tehran, Iran
| | - Mahrooz Malek
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, 1419733141, Iran
| | - Ashrafsadat Hosseini
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, 1419733141, Iran
| | - Kimia Ghafouri
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), School of Medicine, Tehran University of Medical Sciences, Tehran, 1419733141, Iran
| | - Mahgol Sadat Hasan Zadeh Tabatabaei
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), School of Medicine, Tehran University of Medical Sciences, Tehran, 1419733141, Iran
| | - Elham Shirali
- Department of Gynecologic Oncology, Women Yas Hospital Complex, Tehran University of Medical Science, Tehran, Iran
| | - Payam Riahi Samani
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, 1419733141, Iran
| | - Sina Firouznia
- Second Faculty of Medicine, Charles University, Prague, 116 36, Czech Republic
| |
Collapse
|
7
|
Saida T, Shikama A, Mori K, Ishiguro T, Minaguchi T, Satoh T, Nakajima T. Comparing Characteristics of Pelvic High-grade Serous Carcinomas with and without Breast Cancer Gene Variants on MR Imaging. Magn Reson Med Sci 2024; 23:18-26. [PMID: 36372398 PMCID: PMC10838714 DOI: 10.2463/mrms.mp.2022-0061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/24/2022] [Indexed: 01/05/2024] Open
Abstract
PURPOSE To compare MRI findings of high-grade serous carcinoma (HGSC) with and without breast cancer (BRCA) gene variants to explore the feasibility of MRI as a genetic predictor. METHODS We retrospectively reviewed MRI data from 16 patients with BRCA variant-positive (11 patients of BRCA1 and 5 patients of BRCA2 variant-positive) and 32 patients with BRCA variant-negative HGSCs and evaluated tumor size, appearance, nature of solid components, apparent diffusion coefficient (ADC) value, time-intensity curve, several dynamic contrast-enhanced curve descriptors, and nature of peritoneal metastasis. Age, primary site, tumor stage, bilaterality, presence of lymph node metastasis, presence of peritoneal metastasis, and tumor markers were also compared between the groups with the Mann-Whitney U and chi-square tests. RESULTS The mean tumor size of BRCA variant-positive HGSCs was 9.6 cm, and that of variant-negative HGSCs was 6.8 cm, with no significant difference (P = 0.241). No significant difference was found between BRCA variant-positive and negative HGSCs in other evaluated factors, except for age (mean age, 53 years old; range, 32-78 years old for BRCA variant-positive and mean age, 61 years old; range, 44-80 years old for BRCA variant-negative, P = 0.033). Comparing BRCA1 variant-positive and BRCA2 variant-positive HGSCs, BRCA1 variant-positive HGSCs were larger (P = 0.040), had greater Max enhancement (P = 0.013), Area under the curve (P = 0.013), and CA125 (P = 0.038), and had a higher frequency of lymph node metastasis (P = 0.049), with significance. CONCLUSION There was no significant difference in the MRI findings between patients with HGSCs with and without BRCA variants. Although studied in small numbers, BRCA1 variant-positive HGSCs were larger and more enhanced than BRCA2 variant-positive HGSCs with higher CA125 and more frequent lymph node metastases, and may represent more aggressive features.
Collapse
Affiliation(s)
- Tsukasa Saida
- Department of Radiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Ayumi Shikama
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Kensaku Mori
- Department of Radiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Toshitaka Ishiguro
- Department of Radiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Takeo Minaguchi
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Toyomi Satoh
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Takahito Nakajima
- Department of Radiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| |
Collapse
|
8
|
Campos A, Villermain-Lécolier C, Sadowski EA, Bazot M, Touboul C, Razakamanantsoa L, Thomassin-Naggara I. O-RADS scoring system for adnexal lesions: Diagnostic performance on TVUS performed by an expert sonographer and MRI. Eur J Radiol 2023; 169:111172. [PMID: 37976101 DOI: 10.1016/j.ejrad.2023.111172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/09/2023] [Accepted: 10/24/2023] [Indexed: 11/19/2023]
Abstract
RATIONALE AND OBJECTIVE To determine the diagnostic performance of transvaginal ultrasound (TVUS) performed by an US specialist and MRI based on the O-RADS scoring system. MATERIALS AND METHODS Between March 5th 2013 and December 31st 2021, 227 patients, referred to our center, underwent TVUS and pelvic MRI for characterization of an adnexal lesion proven by surgery or two years of negative follow-up. All lesions were classified according to O-RADS US and O-RADS MRI risk scoring systems. Imaging data were then correlated with histopathological diagnosis or negative follow-up for 2 years. RESULTS The prevalence of malignancy was 11.1%. Sensitivity of O-RADS US / O-RADS MRI were respectively of 83.3%/83.3% and specificity was 73.2%/92.9% (p < 0.001). O-RADS MRI was more accurate than O-RADS US even when performed by an US specialist (p < 0.001). When MRI was used after US, 51 lesions were reclassified correctly by MRI and only 4 lesions incorrectly reclassified. Most of the lesions (49/51) rated O-RADS US 4 or 5 and reclassified correctly by MRI were benign, mainly including cystadenomas or cystadenofibromas. Only 4 lesions were misclassified by MRI but correctly classified by ultrasound. CONCLUSION Our study suggests that MR imaging has equally high sensitivity but higher specificity than TVUS for the characterization of adnexal lesions based on O-RADS scoring system. MRI should be the recommended second-line technique when a mass is discovered during TVUS and is rated O-RADS 4 and 5 over than TVUS by an US specialist.
Collapse
Affiliation(s)
- Audrey Campos
- Département d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, France
| | - Camille Villermain-Lécolier
- Département d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, France
| | - Elizabeth A Sadowski
- Departments of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252, United States
| | - Marc Bazot
- Département d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, France; Sorbonne Université, INSERM U938 Équipe Biologie et Thérapeutiques du Cancer, France
| | - Cyril Touboul
- Département d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, France; Département de Gynécologie et Obstétrique, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, France
| | - Léo Razakamanantsoa
- Département d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, France; Sorbonne Université, INSERM U938 Équipe Biologie et Thérapeutiques du Cancer, France
| | - Isabelle Thomassin-Naggara
- Département d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, France; Sorbonne Université, INSERM U938 Équipe Biologie et Thérapeutiques du Cancer, France.
| |
Collapse
|
9
|
Suarez-Weiss KE, Sadowski EA, Zhang M, Burk KS, Tran VT, Shinagare AB. Practical Tips for Reporting Adnexal Lesions Using O-RADS MRI. Radiographics 2023; 43:e220142. [PMID: 37319025 DOI: 10.1148/rg.220142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The Ovarian-Adnexal Reporting and Data System (O-RADS) MRI risk stratification system provides a standardized lexicon and evidence-based risk score for evaluation of adnexal lesions. The goals of the lexicon and risk score are to improve report quality and communication between radiologists and clinicians, reduce variability in the reporting language, and optimize management of adnexal lesions. The O-RADS MRI risk score is based on the presence or absence of specific imaging features, including the lipid content, enhancing solid tissue, number of loculi, and fluid type. The probability of malignancy ranges from less than 0.5% when there are benign features to approximately 90% when there is solid tissue with a high-risk time-intensity curve. This information can aid in optimizing management of patients with adnexal lesions. The authors present an algorithmic approach to the O-RADS MRI risk stratification system and highlight key teaching points and common pitfalls. © RSNA, 2023 Quiz questions for this article are available in the supplemental material.
Collapse
Affiliation(s)
- Krista E Suarez-Weiss
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Elizabeth A Sadowski
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Michelle Zhang
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Kristine S Burk
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Vi T Tran
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Atul B Shinagare
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| |
Collapse
|
10
|
Sadowski EA, Rockall A, Thomassin-Naggara I, Barroilhet LM, Wallace SK, Jha P, Gupta A, Shinagare AB, Guo Y, Reinhold C. Adnexal Lesion Imaging: Past, Present, and Future. Radiology 2023; 307:e223281. [PMID: 37158725 DOI: 10.1148/radiol.223281] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Currently, imaging is part of the standard of care for patients with adnexal lesions prior to definitive management. Imaging can identify a physiologic finding or classic benign lesion that can be followed up conservatively. When one of these entities is not present, imaging is used to determine the probability of ovarian cancer prior to surgical consultation. Since the inclusion of imaging in the evaluation of adnexal lesions in the 1970s, the rate of surgery for benign lesions has decreased. More recently, data-driven Ovarian-Adnexal Reporting and Data System (O-RADS) scoring systems for US and MRI with standardized lexicons have been developed to allow for assignment of a cancer risk score, with the goal of further decreasing unnecessary interventions while expediting the care of patients with ovarian cancer. US is used as the initial modality for the assessment of adnexal lesions, while MRI is used when there is a clinical need for increased specificity and positive predictive value for the diagnosis of cancer. This article will review how the treatment of adnexal lesions has changed due to imaging over the decades; the current data supporting the use of US, CT, and MRI to determine the likelihood of cancer; and future directions of adnexal imaging for the early detection of ovarian cancer.
Collapse
Affiliation(s)
- Elizabeth A Sadowski
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Andrea Rockall
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Isabelle Thomassin-Naggara
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Lisa M Barroilhet
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Sumer K Wallace
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Priyanka Jha
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Akshya Gupta
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Atul B Shinagare
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Yang Guo
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| | - Caroline Reinhold
- From the Departments of Radiology (E.A.S.) and Obstetrics and Gynecology (E.A.S., L.M.B., S.K.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI 53792-3252; Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, UK (A.R.); Department of Radiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Paris, France (I.T.N.); Department of Radiology, Stanford University School of Medicine, Stanford, Calif (P.J.); Department of Imaging Sciences, University of Rochester, Rochester, NY (A.G.); Department of Radiology, Brigham and Women's Hospital, Boston, Mass (A.B.S., Y.G.); Augmented Imaging Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, and Department of Radiology, McGill University, Montreal, Canada (C.R.); and Montreal Imaging Experts, Montreal, Canada (C.R.)
| |
Collapse
|
11
|
Pinto P, Burgetova A, Cibula D, Haldorsen IS, Indrielle-Kelly T, Fischerova D. Prediction of Surgical Outcome in Advanced Ovarian Cancer by Imaging and Laparoscopy: A Narrative Review. Cancers (Basel) 2023; 15:cancers15061904. [PMID: 36980790 PMCID: PMC10047411 DOI: 10.3390/cancers15061904] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
Maximal-effort upfront or interval debulking surgery is the recommended approach for advanced-stage ovarian cancer. The role of diagnostic imaging is to provide a systematic and structured report on tumour dissemination with emphasis on key sites for resectability. Imaging methods, such as pelvic and abdominal ultrasound, contrast-enhanced computed tomography, whole-body diffusion-weighted magnetic resonance imaging and positron emission tomography, yield high diagnostic performance for diagnosing bulky disease, but they are less accurate for depicting small-volume carcinomatosis, which may lead to unnecessary explorative laparotomies. Diagnostic laparoscopy, on the other hand, may directly visualize intraperitoneal involvement but has limitations in detecting tumours beyond the gastrosplenic ligament, in the lesser sac, mesenteric root or in the retroperitoneum. Laparoscopy has its place in combination with imaging in cases where ima-ging results regarding resectability are unclear. Different imaging models predicting tumour resectability have been developed as an adjunctional objective tool. Incorporating results from tumour quantitative analyses (e.g., radiomics), preoperative biopsies and biomarkers into predictive models may allow for more precise selection of patients eligible for extensive surgery. This review will discuss the ability of imaging and laparoscopy to predict non-resectable disease in patients with advanced ovarian cancer.
Collapse
Affiliation(s)
- Patrícia Pinto
- Department of Gynecology, Portuguese Institute of Oncology Francisco Gentil, 1099-023 Lisbon, Portugal
- First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic
| | - Andrea Burgetova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic
| | - David Cibula
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic
| | - Ingfrid S Haldorsen
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, 5009 Bergen, Norway
- Section of Radiology, Department of Clinical Medicine, University of Bergen, 5021 Bergen, Norway
| | - Tereza Indrielle-Kelly
- Department of Obstetrics and Gynaecology, Burton and Derby Hospitals NHS Trust, Derby DE13 0RB, UK
| | - Daniela Fischerova
- Gynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic
| |
Collapse
|
12
|
Wu M, Tang Q, Cai S, Zhu L, Lin C, Guan Y, Rao S, Zhou J. Accuracy and reproducibility of the O-RADS MRI risk stratification system based on enhanced non-DCE MRI in the assessment of adnexal masses. Eur J Radiol 2023; 159:110670. [PMID: 36584564 DOI: 10.1016/j.ejrad.2022.110670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 12/11/2022] [Accepted: 12/22/2022] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Evaluation of the diagnostic performance and reproducibility of the Ovarian-Adnexal Reporting and Data System (O-RADS) Magnetic Resonance Imaging (MRI) risk stratification system based on enhanced non-dynamic contrast-enhanced (non-DCE) MRI in the diagnosis of adnexal masses. METHODS Patients who underwent conventional pelvic enhanced non-DCE MRI examination within one month prior to surgery formed the study population. Two experienced radiologists independently evaluated the images and assigned a score according to the O-RADS MRI risk stratification system. One of the radiologists reviewed the images and reassigned the scores after three months. Intra- and inter-observer agreement was evaluated with the k coefficient value. The adnexal masses that attained scores between 1 and 3 were considered benign, while those with scores of 4 or 5 were considered malignant. Analyses were conducted to determine the sensitivity, specificity, positive and negative predictive values, and receiver operating characteristic (ROC) curve, which were then used for evaluating the diagnostic efficacy of the developed system based on enhanced non-DCE MRI scan. The reference standard was histology. RESULTS A total of 308 patients (mean age: 42.09 ± 12.42 years, age range: 20-84 years) were enrolled in the study. Among the 362 adnexal masses from the included patients, there were 320 benign masses and 42 malignant masses. In the case of three readers, there were no malignant tumors scored 1-2. The O-RADS MRI score ≥ 4 was associated with malignancy resulted in a good diagnostic efficacy with the areas under the curve (AUC) values of 0.918 (95 % CI, 0.864-0.972), 0.905 (95 % CI, 0.842-0.968), and 0.882 (95 % CI, 0.815-0.950), the sensitivity values of 90.5 % (95 % CI, 87.5-93.5 %), 85.7 % (95 % CI, 82.1-89.3 %), and 83.3 % (95 % CI, 79.5-87.2 %), and the specificity values of 93.1 % (95 % CI, 90.5-95.7 %), 95.3 % (95 % CI, 93.1-97.5 %), and 93.1 % (95 % CI, 90.5-95.7 %) obtained for the three readers, respectively. Excellent intra-observer agreement and inter-observer agreement were observed with the k values of 0.883 (95 % CI, 0.814-0.952) and 0.848 (95 % CI, 0.770-0.926), respectively. CONCLUSIONS The O-RADS MRI risk stratification system based on enhanced non-DCE MRI scans exhibited high accuracy and reproducibility in the prediction of adnexal masses malignancy. Enhanced non-DCE MRI scan may offer an alternative diagnostic tool when DCE is not possible.
Collapse
Affiliation(s)
- Minrong Wu
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Qiying Tang
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Songqi Cai
- Department of Radiology, Zhongshan Hospital, Fudan University, 180 Fenlin Road, Shanghai, Xuhui District, 200032, People's Republic of China
| | - Liuhong Zhu
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Chong Lin
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Yingying Guan
- Department of Pathology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Shengxiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University, 180 Fenlin Road, Shanghai, Xuhui District, 200032, People's Republic of China.
| | - Jianjun Zhou
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China; Department of Radiology, Zhongshan Hospital, Fudan University, 180 Fenlin Road, Shanghai, Xuhui District, 200032, People's Republic of China; Department of Radiology, Xiamen Clinical Research Center for Cancer Therapy, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China.
| |
Collapse
|
13
|
Liu R, Li R, Fang J, Deng K, Chen C, Li J, Wu Z, Zeng X. Apparent diffusion coefficient histogram analysis for differentiating solid ovarian tumors. Front Oncol 2022; 12:904323. [PMID: 35978817 PMCID: PMC9376384 DOI: 10.3389/fonc.2022.904323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/06/2022] [Indexed: 12/21/2022] Open
Abstract
Objective To evaluate the utility of apparent diffusion coefficient (ADC) histogram analysis to differentiate between three types of solid ovarian tumors: granulosa cell tumors (GCTs) of the ovary, ovarian fibromas, and high-grade serous ovarian carcinomas (HGSOCs). Methods The medical records of 11 patients with GCTs of the ovary (regions of interest [ROI-cs], 137), 61 patients with ovarian fibromas (ROI-cs, 161), and 14 patients with HGSOCs (ROI-cs, 113) confirmed at surgery and histology who underwent diffusion-weighted imaging were retrospectively reviewed. Histogram parameters of ADC maps (ADCmean, ADCmax, ADCmin) were estimated and compared using the Kruskal-WallisH test and Mann-Whitney U test. The area under the curve of receiver operating characteristic curves was used to assess the diagnostic performance of ADC parameters for solid ovarian tumors. Results There were significant differences in ADCmean, ADCmax and ADCmin values between GCTs of the ovary, ovarian fibromas, and HGSOCs. The cutoff ADCmean value for differentiating a GCT of the ovary from an ovarian fibroma was 0.95×10-3 mm2/s, for differentiating a GCT of the ovary from an HGSOC was 0.69×10-3 mm2/s, and for differentiating an ovarian fibroma from an HGSOC was 1.24×10-3 mm2/s. Conclusion ADCmean derived from ADC histogram analysis provided quantitative information that allowed accurate differentiation of GCTs of the ovary, ovarian fibromas, and HGSOCs before surgery.
Collapse
Affiliation(s)
- Renwei Liu
- Department of Radiology, Affiliated Longhua People’s Hospital Southern Medical University (Longhua People’s Hospital), Shenzhen, China
| | - Ruifeng Li
- Department of Radiology, Affiliated Longhua People’s Hospital Southern Medical University (Longhua People’s Hospital), Shenzhen, China
| | - Jinzhi Fang
- Department of Radiology, Affiliated Longhua People’s Hospital Southern Medical University (Longhua People’s Hospital), Shenzhen, China
| | - Kan Deng
- C&TS Clinical Science, Philips Healthcare, Guangzhou, China
| | - Cuimei Chen
- Department of Radiology, Affiliated Longhua People’s Hospital Southern Medical University (Longhua People’s Hospital), Shenzhen, China
| | - Jianhua Li
- Department of Radiology, Affiliated Longhua People’s Hospital Southern Medical University (Longhua People’s Hospital), Shenzhen, China
| | - Zhiqing Wu
- Department of Radiology, Affiliated Longhua People’s Hospital Southern Medical University (Longhua People’s Hospital), Shenzhen, China
| | - Xiaoxu Zeng
- Department of Radiology, Affiliated Longhua People’s Hospital Southern Medical University (Longhua People’s Hospital), Shenzhen, China
- *Correspondence: Xiaoxu Zeng,
| |
Collapse
|
14
|
Cui L, Xu H, Zhang Y. Diagnostic Accuracies of the Ultrasound and Magnetic Resonance Imaging ADNEX Scoring Systems For Ovarian Adnexal Mass: Systematic Review and Meta-Analysis. Acad Radiol 2022; 29:897-908. [PMID: 34217614 DOI: 10.1016/j.acra.2021.05.029] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/21/2021] [Accepted: 05/21/2021] [Indexed: 11/01/2022]
Abstract
We conducted a meta-analysis of IOTA (international ovarian tumor analysis) ADNEX (Assessment of Different NEoplasias in the adneXa) as ultrasound system and MRI (magnetic resonance imaging) ADNEX scoring systems as MR system to assess their diagnostic test accuracy for differentiating benign from malignant adnexal masses of the ovary. We performed an electronic search for relevant publications in the English language up to February 2021 using PubMed, CENTRAL (Cochrane Central Register of Controlled Trials), Web of Science, and Google scholar databases and search engines. We computed the pooled sensitivity, pooled specificity, and summary receiver operating characteristics curve (SROC) using the statistical software STATA (Version 13, College Station, TX, StataCorp LP). Based on 11 studies using IOTA-ADNEX, we observed pooled sensitivity, specificity, area under curve, and diagnostic odds ratio were 96% (95% CI, 94% to 97%), 79% (95% CI, 70% to 86 %), 97% (95% CI, 95% to 98%), and 88 (95% CI, 43 to 180). Based on five studies using MR-ADNEX scoring system the pooled sensitivity, specificity, area under curve and diagnostic odds ratio were 91 % (95% CI, 87% to 94 %), 95% (95% CI, 92% to 97 %), 98% (95% CI, 96% to 99%), and 189 (95% CI, 90 to 396) respectively. Our meta-analysis results demonstrate that the MR-ADNEX scoring system had higher specificity however bit lower sensitivity compared to the IOTA-ADNEX scoring system for discriminating benign from malignant ovarian tumors.
Collapse
|
15
|
Alcala JMF, Mussi TC, Raiza LCP, Baroni RH. T2-weighted imaging hypointensity in an ovarian lesion: is it a benign finding? EINSTEIN-SAO PAULO 2022; 20:eAO6851. [PMID: 35649059 PMCID: PMC9126602 DOI: 10.31744/einstein_journal/2022ao6851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/24/2021] [Indexed: 12/24/2022] Open
Abstract
Objective To evaluate whether the presence of a hypointense signal at T2-weighted imaging in a solid ovarian lesion on magnetic resonance imaging is a predictor of stability and benignity. Methods This is a single center study, prospectively read with retrospective acquired data. The database was searched for patients who underwent magnetic resonance imaging between January 2008 and October 2019 and whose reports mentioned solid ovarian lesions with low signal on T2-weighted imaging. A total of 47 nodules were included. A radiologist who was blinded to the clinical indication for magnetic resonance imaging and original reports evaluated the cases. Objective and subjective criteria of ovarian lesions in magnetic resonance imaging were evaluated. Results Thirty-five nodules were considered benign/stable and 12 were considered non-stable. The analysis showed that the non-stable lesions showed statistically more hyperintensity at T1-weighted imaging compared to the stable lesions. Conclusion T2-weighted imaging hypointensity can be considered a predictor of stability in solid ovarian lesions when associated with iso/hypointensity in T1-weighted imaging.
Collapse
|
16
|
Vargas HA, Woo S. Quantitative versus Subjective Analysis of Dynamic Contrast-enhanced MRI for O-RADS? Radiology 2022; 303:576-577. [PMID: 35230190 DOI: 10.1148/radiol.213103] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Hebert Alberto Vargas
- From the Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065
| | - Sungmin Woo
- From the Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065
| |
Collapse
|
17
|
Amado Cabana S, Gallego Ojea J, Félez Carballada M. Usefulness of dynamic contrast-enhanced magnetic resonance imaging in characterizing ovarian tumors classified as indeterminate at ultrasonography. RADIOLOGIA 2022; 64:110-118. [DOI: 10.1016/j.rxeng.2020.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 05/20/2020] [Indexed: 10/18/2022]
|
18
|
Wengert GJ, Dabi Y, Kermarrec E, Jalaguier-Coudray A, Poncelet E, Porcher R, Thomassin-Naggara I, Rockall AG. O-RADS MRI Classification of Indeterminate Adnexal Lesions: Time-Intensity Curve Analysis Is Better Than Visual Assessment. Radiology 2022; 303:566-575. [PMID: 35230183 DOI: 10.1148/radiol.210342] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Background The MRI Ovarian-Adnexal Reporting and Data System (O-RADS) enables risk stratification of sonographically indeterminate adnexal lesions, partly based on time-intensity curve (TIC) analysis, which may not be universally available. Purpose To compare the diagnostic accuracy of visual assessment with that of TIC assessment of dynamic contrast-enhanced MRI scans to categorize adnexal lesions as benign or malignant and to evaluate the influence on the O-RADS MRI score. Materials and Methods The European Adnex MR Study Group, or EURAD, database, a prospective multicenter study of women undergoing MRI for indeterminate adnexal lesions between March 2013 and March 2018, was queried retrospectively. Women undergoing surgery for an adnexal lesion with solid tissue were included. Solid tissue enhancement relative to outer myometrium was assessed visually and with TIC. Contrast material washout was recorded. Lesions were categorized according to the O-RADS MRI score with visual and TIC assessment. Per-lesion diagnostic accuracy was calculated. Results A total of 320 lesions (207 malignant, 113 benign) in 244 women (mean age, 55.3 years ± 15.8 [standard deviation]) were analyzed. Sensitivity for malignancy was 96% (198 of 207) and 76% (157 of 207) for TIC and visual assessment, respectively. TIC was more accurate than visual assessment (86% [95% CI: 81, 90] vs 78% [95% CI: 73, 82]; P < .001) for benign lesions, predominantly because of higher specificity (95% [95% CI: 92, 98] vs 76% [95% CI: 68, 81]). A total of 21% (38 of 177) of invasive lesions were rated as low risk visually. Contrast material washout and high-risk enhancement (defined as earlier enhancement than in the myometrium) were highly specific for malignancy for both TIC (97% [95% CI: 91, 99] and 94% [95% CI: 90, 97], respectively) and visual assessment (97% [95% CI: 92, 99] and 93% [95% CI: 88, 97], respectively). O-RADS MRI score was more accurate with TIC than with visual assessment (area under the receiver operating characteristic curve, 0.87 [95% CI: 0.83, 0.90] vs 0.73 [95% CI: 0.68, 0.78]; P < .001). Conclusion Time-intensity curve analysis was more accurate than visual assessment for achieving optimal diagnostic accuracy with the Ovarian-Adnexal Reporting and Data System MRI score. Clinical trial registration no. NCT01738789 © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Vargas and Woo in this issue.
Collapse
Affiliation(s)
- Georg J Wengert
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| | - Yohann Dabi
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| | - Edith Kermarrec
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| | - Aurélie Jalaguier-Coudray
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| | - Edouard Poncelet
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| | - Raphaël Porcher
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| | - Isabelle Thomassin-Naggara
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| | - Andrea G Rockall
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| | -
- From the Division of Cancer and Surgery, Faculty of Medicine, Imperial College London, London, United Kingdom (G.J.W., A.G.R.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Departments of Obstetrics and Gynecology (Y.D.) and Radiology (E.K., I.T.N.), Sorbonne University, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France; Institut Paoli Calmettes, Marseille, France (A.J.C.); Department of Women's Imaging, Centre Hospitalier de Valenciennes, Valenciennes, France (E.P.); Centre of Research Epidemiology and Statistics, Université de Paris, INSERM U1153, Paris, France (R.P.); Clinical Epidemiology Center, Assistance Publique des Hôpitaux de Paris, Hôpital Hôtel Dieu, Paris, France (R.P.); Institute for Computing and Data Sciences, Sorbonne University, Paris, France (I.T.N.); and Department of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R.)
| |
Collapse
|
19
|
Impact of Multiparametric MRI (mMRI) on the Therapeutic Management of Adnexal Masses Detected with Transvaginal Ultrasound (TVUS): An Interdisciplinary Management Approach. Acad Radiol 2022; 29:183-197. [PMID: 33293256 DOI: 10.1016/j.acra.2020.11.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 11/20/2020] [Accepted: 11/21/2020] [Indexed: 12/15/2022]
Abstract
RATIONALE AND OBJECTIVES Adnexal masses detected incidentally at transvaginal ultrasound (TVUS) are a common and still challenging diagnostic problem. The primary goal of further imaging is an accurate tissue characterization so an optimal treatment plan can be devised including surgery only for lesions that are indeterminate or malignant. The aim of this prospective study was to evaluate the diagnostic utility of complementary multiparametric magnetic resonance imaging (mMRI) for treatment planning in patients with adnexal masses, and to assess how it ultimately correlates with subsequent histopathologic findings. MATERIAL AND METHODS A total of 126 women (mean age: 54.6 years) with indeterminate adnexal masses underwent mMRI at 3T in addition to TVUS and testing to determine their CA-125 levels. The mMRI protocol consisted of a high-resolution T2-TSE in three planes, diffusion weighted images and dynamic contrast enhanced. First the character of the adnexal mass and the associated management decision (follow-up, laparoscopy or laparotomy) were assessed independently for each diagnostic method (TVUS + CA-125 and mMRI). All methods were then assessed in synopsis. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each diagnostic method alone and in combination were calculated. The standard of reference was either final histology in women who underwent surgery or follow-up of at least 24 months in women who underwent follow-up. RESULTS In 67.5% (85/126) of all patients, the adnexal mass was benign; a malignant tumor was diagnosed in 28.6% (36/126) and a borderline tumor in the remaining 4% (5/126) of patients. The diagnostic indices were as follows for TVUS + CA 125 alone, mMRI alone and all three methods combined: sensitivity 86% (31/36), 97% (35/36), and 100% (36/36); specificity 32% (29/90), 83% (75/90), and 80% (68/90); PPV 34% (31/91), 70% (35/50), and 74% (40/54); and NPV 65% (29/44), 98% (75/76), and 100% (72/72). Complementary use of mMRI changed the therapeutic management decision in 34% (41/126) of all patients. In 40.7% (37/91) of patients for whom surgery had been recommended based on TVUS + CA-125, MRI revealed a typical benign finding such that those patients underwent follow-up instead of surgery. None of the examined masses exhibited (tumor) progression or malignancy during the follow-up period. A laparotomy was performed instead of a laparoscopy in 8.7% (11/126) based on the mMRI result. CONCLUSION MRI helps significantly improve sensitivity and specificity of diagnosis in patients with indeterminate adnexal masses detected at TVUS. Its diagnostic information revised the planned treatment in more than one-third of women.
Collapse
|
20
|
The role of "penumbra sign" and diffusion-weighted imaging in adnexal masses: do they provide a clue in differentiating tubo-ovarian abscess from ovarian malignancy? Pol J Radiol 2022; 86:e661-e671. [PMID: 35059059 PMCID: PMC8757038 DOI: 10.5114/pjr.2021.111986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022] Open
Abstract
Purpose To evaluate the role of “penumbra sign”, diffusion-weighted imaging (DWI), and the apparent diffusion coefficient (ADC) value in differentiating tubo-ovarian abscess (TOA) from ovarian malignancy. Material and methods Thirty-six patients with 50 adnexal masses (tubo-ovarian abscess, n = 24; ovarian malignancy, n = 26), who underwent magnetic resonance imaging (MRI) with DWI, were retrospectively evaluated. “Penumbra sign” (hyperintense rim on T1W images), diffusion restriction, and mean apparent diffusion coefficient (ADC) values from cystic (c-ADC) and solid (s-ADC) components were evaluated for all the masses. Results “Penumbra sign” on T1W images was significantly more common in the TOA group (n = 21, 87.5%) than in the ovarian malignancy group (n = 2, 7.7%) (p < 0.001). Similarly, diffusion restriction in the cystic component was more frequent in the TOA group (n = 24, 100% vs. n = 2, 10.5%; p < 0.001). In contrast, diffusion restriction in the solid component was more common in the ovarian malignancy group (n = 5, 20.8% vs. n = 26, 100%; p < 0.001). The mean c-ADC value was significantly lower in TOAs (p < 0.001). A c-ADC value of 1.31 × 10-3 mm2/s may be an optimal cut-off in distinguishing TOAs from ovarian malignancies. Conversely, the mean s-ADC value was significantly lower in the ovarian malignancy group (p < 0.001). An s-ADC value of 0.869 × 10-3 mm2/s may be an optimal cut-off in differentiating ovarian malignancies from TOAs (p < 0.001). ROC curve analysis showed that c-ADC values had a higher diagnostic accuracy than s-ADC values. Conclusions “Penumbra sign” on T1W images, diffusion characteristics, and ADC values provide important clues in addition to conventional MR imaging features in differentiating TOA from ovarian malignancy.
Collapse
|
21
|
Sadowski EA, Thomassin-Naggara I, Rockall A, Maturen KE, Forstner R, Jha P, Nougaret S, Siegelman ES, Reinhold C. O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee. Radiology 2022; 303:35-47. [PMID: 35040672 PMCID: PMC8962917 DOI: 10.1148/radiol.204371] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
MRI plays an important role as a secondary test or problem-solving modality in the evaluation of adnexal lesions depicted at US. MRI has increased specificity compared with US, decreasing the number of false-positive diagnoses for malignancy and thereby avoiding unnecessary or over-extensive surgery in patients with benign lesions or borderline tumors, while women with possible malignancies can be expeditiously referred for oncologic surgical evaluation. The Ovarian-Adnexal Reporting and Data System (O-RADS) MRI Committee is an international collaborative effort formed under the direction of the American College of Radiology and includes a diverse group of experts on adnexal imaging and management who developed the O-RADS MRI risk stratification system. This scoring system assigns a probability of malignancy based on the MRI features of an adnexal lesion and provides information to facilitate optimal patient management. The widespread implementation of a codified reporting system will lead to improved interpretation agreement and standardized communication between radiologists and referring physicians. In addition, it will allow for high-quality multi-institutional collaborations-an important unmet need that has hampered the performance of high-quality research in this area in the past. This article provides guidelines on using the O-RADS MRI risk stratification system in clinical practice, as well as in the educational and research settings.
Collapse
Affiliation(s)
- Elizabeth A Sadowski
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Isabelle Thomassin-Naggara
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Andrea Rockall
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Katherine E Maturen
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Rosemarie Forstner
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Priyanka Jha
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Stephanie Nougaret
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Evan S Siegelman
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Caroline Reinhold
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| |
Collapse
|
22
|
Hottat NA, Badr DA, Van Pachterbeke C, Vanden Houte K, Denolin V, Jani JC, Cannie MM. Added Value of Quantitative Analysis of Diffusion-Weighted Imaging in Ovarian-Adnexal Reporting and Data System Magnetic Resonance Imaging. J Magn Reson Imaging 2021; 56:158-170. [PMID: 34797013 DOI: 10.1002/jmri.28003] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 11/06/2021] [Accepted: 11/08/2021] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The ovarian-adnexal reporting and data system-magnetic resonance imaging (O-RADS-MRI) score decreases the incidence of indeterminate adnexal masses from 18% to 31% with ultrasound till 10.8% to 12.5% with MRI. Further improvement of this score may be useful to improve patients' management. PURPOSE To evaluate the added value of quantitative diffusion-weighted imaging (DWI) in the diagnosis of adnexal masses classified according to the O-RADS-MRI score. STUDY TYPE Prospective cohort study with retrospective DWI analysis. POPULATION Among 402 recruited patients, surgery was done only in 163 women (median-age: 51 years) with 201 indeterminate adnexal masses, which were included in the final analysis. FIELD STRENGTH/SEQUENCE Standardized MRI (1.5 and 3-T) including diffusion and dynamic contrast-enhanced sequences (diffusion-weighted single-shot spin-echo echo-planar imaging) were used. ASSESSMENT Two radiologists classified the adnexal masses according to O-RADS-MRI and they were blinded to the pathology report. Two methods of quantitative analysis were applied using region-of-interest apparent-diffusion-coefficient (ROI-ADC) and whole-lesion ADC-histogram (WL-ADC). STATISTICAL TESTS Fisher's exact and Mann-Whitney-U tests were used to compare variables among malignant and benign lesions. Receiver-operating-characteristic (ROC) curves were constructed to examine the sensitivity/specificity of each parameter. ROI-ADC and WL-ADC of lesions with O-RADS-MRI score-4 were plotted to identify thresholds of malignant lesions. The improvement of the O-RADS-MRI score after adding these thresholds was assessed by two ROC-curves. A P < 0.05 was considered to be statistically significant. RESULTS Fifty-eight of the 201 lesions (28.9%) were malignant. The ROI-ADC and the WL-ADC means of malignant lesions were significantly lower than those of benign lesions. Forty-two lesions (20.9%) had an O-RADS-MRI score-4. In this subgroup, 76% of lesions with ROI-ADC < 1.7 × 10-3 mm2 /sec and WL-ADC < 2.6 × 10-3 mm2 /sec were malignant, whereas only 11.8% with ROI-ADC ≥ 1.7 × 10-3 mm2 /sec or a WL-ADC ≥ 2.6 × 10-3 mm2 /sec were malignant. The overall performance of the O-RADS-MRI score combined with these thresholds was improved. DATA CONCLUSION Integrating ADC-thresholds in O-RADS-MRI score-4 may discriminate low-to-intermediate and intermediate-to-high malignancy risk groups. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 2.
Collapse
Affiliation(s)
- Nathalie A Hottat
- Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.,Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Belgium
| | - Dominique A Badr
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Catherine Van Pachterbeke
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Katherina Vanden Houte
- Department of Pathology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Jacques C Jani
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Mieke M Cannie
- Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium.,Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Belgium
| |
Collapse
|
23
|
Lin Y, Hsieh CY, Huang YL, Chen K, Huang YT, Wu RC, Huang HJ, Chou HH, Chao A, Lai CH, Lin G. Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study. Diagnostics (Basel) 2021; 11:diagnostics11101847. [PMID: 34679545 PMCID: PMC8534853 DOI: 10.3390/diagnostics11101847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 10/02/2021] [Accepted: 10/04/2021] [Indexed: 11/16/2022] Open
Abstract
We aim to assess the additional value of diffusion-weighted imaging (DWI) and magnetic resonance spectroscopy (MRS) for the risk stratification of sonographically indeterminate ovarian neoplasms. A total of 21 patients with diagnosed adnexal masses between 2014 and 2017 were divided into malignant (four serous cystadenocarcinomas, four endometrioid carcinomas, three clear cell carcinomas, and one carcinosarcoma) and benign (four cystadenomas, two teratomas, one fibroma, one endometrioma, and one corpus luteal cyst) groups. An apparent diffusion coefficient (ADC) value of 1.27 × 10-3 mm2/s was considered as the optimal threshold in distinguishing malignant from benign ovarian tumors (sensitivity and specificity: 100% and 77.8%, respectively). Choline peaks were detected in six of seven O-RADS (Ovarian-Adnexal Imaging-Reporting Data System) 4 lesions and corrected all of the DWI false-negative clear cell carcinoma. Based on the presence of the choline peaks, the diagnostic performance of MRS showed a sensitivity of 77.8%, a specificity of 100%, and an accuracy of 85.7%, respectively. In conclusion, MRS could potentially play a complementary role for DWI in tumor characterization, particularly for O-RADS 4 tumors or clear cell carcinomas.
Collapse
Affiliation(s)
- Yenpo Lin
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (Y.L.); (Y.-L.H.); (K.C.); (Y.-T.H.)
- Clinical Metabolomics Core Laboratory, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan;
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
| | - Ching-Yi Hsieh
- Clinical Metabolomics Core Laboratory, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan;
- Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University, Taoyuan 33382, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan 33382, Taiwan
| | - Yen-Ling Huang
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (Y.L.); (Y.-L.H.); (K.C.); (Y.-T.H.)
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
| | - Kueian Chen
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (Y.L.); (Y.-L.H.); (K.C.); (Y.-T.H.)
- Clinical Metabolomics Core Laboratory, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan;
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
| | - Yu-Ting Huang
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (Y.L.); (Y.-L.H.); (K.C.); (Y.-T.H.)
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
- Department of Diagnostic Radiology, Keelung Chang Gung Memorial Hospital, Keelung 20401, Taiwan
| | - Ren-Chin Wu
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
- Department of Pathology, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan
| | - Huei-Jean Huang
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
| | - Hung-Hsueh Chou
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
| | - Angel Chao
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
| | - Chyong-Huey Lai
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
| | - Gigin Lin
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (Y.L.); (Y.-L.H.); (K.C.); (Y.-T.H.)
- Clinical Metabolomics Core Laboratory, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan;
- Department of Obstetrics and Gynecology and Gynecologic, Cancer Research Center, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 33382, Taiwan; (R.-C.W.); (H.-J.H.); (H.-H.C.); (A.C.); (C.-H.L.)
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan 33382, Taiwan
- Correspondence: ; Tel.: +886-3-328-1200
| |
Collapse
|
24
|
Otani S, Kido A, Himoto Y, Sakata A, Otani T, Kuwahara R, Moribata Y, Nishio N, Yajima R, Nakao K, Kurata Y, Minamiguchi S, Mandai M, Nakamoto Y. Diagnostic Value of DCE-MRI for Differentiating Malignant Adnexal Masses Compared with Contrast-enhanced-T1WI. Magn Reson Med Sci 2021; 21:599-607. [PMID: 34483226 DOI: 10.2463/mrms.mp.2021-0003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To compare the diagnostic performance of dynamic contrast-enhanced-MR (DCE-MR) and delayed contrast-enhanced (CE)-MRI added to unenhanced MRI, including diffusion weighted image (DWI) for differentiating malignant adnexal tumors, conducting a retrospective blinded image interpretation study. METHODS Data of 80 patients suspected of having adnexal tumors by ultrasonography between April 2008 and August 2018 were used for the study. All patients had undergone preoperative MRI and surgical resection at our institution. Four radiologists (two specialized in gynecological radiology and two non-specialized) were enrolled for blinded review of the MR images. A 3-point scale was used: 0 = benign, 1 = indeterminate, and 2 = malignant. Three imaging sets were reviewed: Set A, unenhanced MRI including DWI; Set B, Set A and delayed CE-T1WI; and Set C, Set A and DCE-MRI. Imaging criteria for benign and malignant tumors were given in earlier reports. The diagnostic performance of the three imaging sets of the four readers was calculated. Their areas under the curve (AUCs) were compared using the DeLong method. RESULTS Accuracies of Set B were 81%-88%. Those of Set C were 81%-85%. The AUCs of Set B were 0.83 and 0.89. Those of Set C were 0.81-0.86. For two readers, Set A showed lower accuracy and AUC than Set B/Set C (less than 0.80), although those were equivalent in other readers. No significant difference in AUCs was found among the three sequence sets. Intrareader agreement was moderate to almost perfect in Sets A and B, and substantial to almost perfect in Set C. CONCLUSION DCE-MR showed no superiority for differentiating malignant adnexal tumors from benign tumors compared to delayed CE-T1WI with conventional MR and DWI.
Collapse
Affiliation(s)
- Satoshi Otani
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Aki Kido
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Yuki Himoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Akihiko Sakata
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Tomoaki Otani
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Ryo Kuwahara
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Yusaku Moribata
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Naoko Nishio
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Ryo Yajima
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Kyoko Nakao
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Yasuhisa Kurata
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| | - Sachiko Minamiguchi
- Department of Diagnostic Pathology, Kyoto University Graduate School of Medicine
| | - Masaki Mandai
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine
| | - Yuji Nakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine
| |
Collapse
|
25
|
Eom SY, Rha SE. [Adnexal Masses: Clinical Application of Multiparametric MR Imaging & O-RADS MRI]. TAEHAN YONGSANG UIHAKHOE CHI 2021; 82:1066-1082. [PMID: 36238388 PMCID: PMC9432352 DOI: 10.3348/jksr.2021.0111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/16/2021] [Accepted: 07/26/2021] [Indexed: 11/15/2022]
Abstract
Incidental adnexal masses considered indeterminate for malignancy are commonly observed on ultrasonography. Multiparametric MRI is the imaging modality of choice for the evaluation of sonographically indeterminate adnexal masses. Conventional MRI enables a confident pathologic diagnosis of various benign lesions due to accurate tissue characterization of fat, blood, fibrous tissue, and solid components. Additionally, functional imaging sequences, including perfusion- and diffusion-weighted imaging, improve the diagnostic efficacy of conventional MRI in differentiating benign from malignant adnexal masses. The ovarian-adnexal reporting and data system (O-RADS) MRI was recently designed to provide consistent interpretations in assigning risk of malignancy to ovarian and other adnexal masses, and to provide a management recommendation for each risk category. In this review, we describe the clinical application of multiparametric MRI for the evaluation of adnexal masses and introduce the O-RADS MRI risk stratification system.
Collapse
|
26
|
Cheikh TE, Hamza K, Rajaa E, Amine L, Karima F, Said B. Borderline serous tumor of the ovary discovered during pregnancy: A case report. Int J Surg Case Rep 2021; 84:106099. [PMID: 34139425 PMCID: PMC8213893 DOI: 10.1016/j.ijscr.2021.106099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/06/2021] [Accepted: 06/07/2021] [Indexed: 11/20/2022] Open
Abstract
Introduction OFTs are tumors with low malignant potential. They represent 10 to 15% of all epithelial tumors of the ovary. Their mean age of occurrence is less than 10 years than that of carcinomas. Case report a 29-year-old female patient, second gesture, with no particular pathological history, consulted for pelvic pain occurring during a pregnancy of 8 SA + 5 days. The examination showed an abdominal-pelvic mass lateralized to the left with an enlarged uterus. Abdomino-pelvic ultrasound showed an evolving mono-fetal pregnancy of 10 weeks of amenorrhea, with two right and left latero-cystic solid formations measuring successively 4 × 4.3 cm and 8.99 × 8.25 cm. Pelvic MRI showed a left latero-uterine solid-cystic mass measuring 8.1 × 6.1 × 7 cm. An exploratory laparotomy was performed after the 16th week of amenorrhea revealed a left solid cystic ovarian mass of 10 cm. A left adnexectomy was performed with a right ovarian biopsy, peritoneal biopsy, epiploic biopsy and peritoneal cytology. The pathology report confirmed a borderline serous tumor of the left ovary on the left annexectomy specimen. The right ovary, epiploic and peritoneal biopsy is without tumor proliferation and the peritoneal fluid is acellular. Discussion OFT are characterized by their occurrence in women of childbearing age, with an increasingly advanced maternal age for the first pregnancy. Most adnexal masses are diagnosed during the first or second trimester and endovaginal ultrasound in the first trimester is the first-line examination for optimal characterization. Magnetic resonance imaging (MRI) is the recommended second-line examination from 12 weeks of age, in the presence of complex or indeterminate lesions that may be sufficient to distinguish OFMT. Surgical exploration of radiologically highly suspicious adnexal masses during pregnancy is indicated after 15 weeks of amenorrhea, to reduce the risk of miscarriage by alteration of the luteal function of the cyst in the first trimester. Conclusion The occurrence of OFT remains rare during pregnancy, which justifies the exploration of any adnexal mass discovered in the peripartum period, for which imaging plays an indispensable role in orienting the diagnosis. FTOs are tumors with low malignant potential. Their average age is 10 years younger than that of carcinomas and their appearance during pregnancy is probably related to the advanced age of the mother at the time of the first pregnancy. Pelvic ultrasound is the first-line examination for the diagnosis and evaluation of OFL during pregnancy, in the 1st or 2nd trimester, and magnetic resonance imaging (MRI) is the recommended second-line examination from 12 weeks of gestation. L'exploration chirurgicale des masses annexielles radiologiquement suspectes pendant la grossesse est indiquée après 15 SA pour réduire le risque de fausse couche due à l'altération de la fonction lutéale du kyste au cours du 1ier trimestre. The histological nature of the cyst is comparable to that encountered outside pregnancy, with a predominance of serous tumors. The type of surgical treatment depends on the desire for pregnancy, the bilateral nature of the tumour and the criteria for aggressiveness, which could explain unilateral adnexectomy during pregnancy in the case of unilateral tfo with staging surgery.
Collapse
Affiliation(s)
- Telmoudi Ely Cheikh
- Department of Gynecology and Obstetrics, University Hospital Center Ibn Rochd, Faculty of Medecine and Pharmacy, Hassan II University, Casablanca, Morocco.
| | - Kiram Hamza
- Department of Gynecology and Obstetrics, University Hospital Center Ibn Rochd, Faculty of Medecine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Elqasseh Rajaa
- Department of Gynecology and Obstetrics, University Hospital Center Ibn Rochd, Faculty of Medecine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Lamrissi Amine
- Department of Gynecology and Obstetrics, University Hospital Center Ibn Rochd, Faculty of Medecine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Fichtali Karima
- Department of Gynecology and Obstetrics, University Hospital Center Ibn Rochd, Faculty of Medecine and Pharmacy, Hassan II University, Casablanca, Morocco
| | - Bouhya Said
- Department of Gynecology and Obstetrics, University Hospital Center Ibn Rochd, Faculty of Medecine and Pharmacy, Hassan II University, Casablanca, Morocco
| |
Collapse
|
27
|
Mokry T, Pantke J, Mlynarska-Bujny A, Hasse FC, Kuder TA, Schlemmer HP, Kauczor HU, Rom J, Bickelhaupt S. Diffusivity mapping of the ovaries: Variability of apparent diffusion and kurtosis variables over the menstrual cycle and influence of oral contraceptives. Magn Reson Imaging 2021; 80:50-57. [PMID: 33905830 DOI: 10.1016/j.mri.2021.04.006] [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: 11/18/2020] [Revised: 04/14/2021] [Accepted: 04/21/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE We aimed to investigate whether quantitative diffusivity variables of healthy ovaries vary during the menstrual cycle and to evaluate alterations in women using oral contraceptives (OC). METHODS This prospective study (S-339/2016) included 30 healthy female volunteers, with (n = 15) and without (n = 15) intake of OC between 07/2017 and 09/2019. Participants underwent 3T diffusion-weighted MRI (b-values 0-2000 s/mm2) three times during a menstrual cycle (T1 = day 1-5; T2 = day 7-12; T3 = day 19-24). Both ovaries were manually three-dimensionally segmented on b = 1500 s/mm2; apparent diffusion coefficient (ADC) calculation and kurtosis fitting (Dapp, Kapp) were performed. Differences in ADC, Dapp and Kapp between time points and groups were compared using repeated measures ANOVA and t-test after Shapiro-Wilk and Brown-Forsythe test for normality and equal variance. RESULTS In women with a natural menstrual cycle, ADC and kurtosis variables showed significant changes in ovaries with the dominant follicle between T1 vs T2 and T1 vs T3, whilst no differences were observed between T2 vs T3: ADC ± SD for T1 1.524 ± 0.160, T2 1.737 ± 0.160, and T3 1.747 ± 0.241 μm2/ms (p = 0.01 T2 vs T1; p = 1.0 T2 vs T3, p = 0.003 T3 vs T1); Dapp ± SD for T1 2.018 ± 0.140, T2 2.272 ± 0.189, and T3 2.230 ± 0.256 μm2/ms (p = 0.003 T2 vs T1, p = 1.0 T2 vs T3, p = 0.02 T3 vs T1); Kapp ± SD for T1 0.614 ± 0.0339, T2 0.546 ± 0.0637, and T3 0.529 ± 0.0567 (p < 0.001 T2 vs T1, p = 0.86 T2 vs T3, p < 0.001 T3 vs T1). No significant differences were found in the contralateral ovaries or in females taking OC. CONCLUSION Physiological cycle-dependent changes in quantitative diffusivity variables of ovaries should be considered especially when interpreting radiomics analyses in reproductive women.
Collapse
Affiliation(s)
- Theresa Mokry
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany.
| | - Judith Pantke
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
| | - Anna Mlynarska-Bujny
- Department of Radiology, German Cancer Research Center, Heidelberg, Germany; Department of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Germany
| | - Felix Christian Hasse
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
| | - Tristan Anselm Kuder
- Department of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany
| | | | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany
| | - Joachim Rom
- Hospital for General Obstetrics and Gynecology, Hospital Frankfurt Hoechst, Frankfurt, Germany
| | - Sebastian Bickelhaupt
- Department of Radiology, German Cancer Research Center, Heidelberg, Germany; Junior Group Medical Imaging and Radiology - Cancer Prevention, German Cancer Research Center, Heidelberg, Germany; Institute of Radiology, Erlangen University Hospital, Erlangen, Germany
| |
Collapse
|
28
|
Hottat NA, Van Pachterbeke C, Vanden Houte K, Denolin V, Jani JC, Cannie MM. Magnetic resonance scoring system for assessment of adnexal masses: added value of diffusion-weighted imaging including apparent diffusion coefficient map. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 57:478-487. [PMID: 32438461 DOI: 10.1002/uog.22090] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 05/01/2020] [Accepted: 05/07/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES To validate prospectively the ADNEX magnetic resonance (MR) scoring system to assess adnexal masses and to evaluate a new, modified ADNEX MR scoring system that incorporates diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping. METHODS Between January 2015 and September 2018, 323 consecutive women with adnexal masses diagnosed on transvaginal ultrasound (TVS) underwent standardized MR imaging (MRI) including diffusion and dynamic contrast-enhanced sequences. Of these, 131 underwent subsequent surgery. For interpretation of the MRI examinations, we applied the five-category ADNEX MR scoring system, along with a modified scoring system including DWI with ADC mapping. For both scoring systems, a score was given for all adnexal masses. Histological diagnosis was considered as the gold standard and lesions were classified as benign or malignant. The difference between the predictive values for diagnosing malignancy of the classical and modified scoring systems was assessed on the basis of the areas under the receiver-operating-characteristics (AUC) curves. The sensitivity and specificity for diagnosing malignancy of each score were also calculated. RESULTS Among the 131 women with adnexal mass(es) diagnosed on TVS who underwent MRI and subsequent surgery, the surgery revealed 161 adnexal masses in 126 women; five women had no mass. Histological examination confirmed 161 adnexal masses, of which all had been detected on MRI: 32 malignant tumors, 15 borderline tumors, which were classified as part of the malignant group (n = 47), and 114 benign lesions. The AUC for prediction of a malignant lesion was 0.938 (95% CI, 0.902-0.975) using the classical ADNEX MR scoring system and 0.974 (95% CI, 0.953-0.996) using the modified scoring system. Pairwise comparison of these AUCs revealed a significant difference (P = 0.0032). The sensitivity and specificity for diagnosing malignancy with an ADNEX MR score of 4 or more were 95.5% and 86.6%, respectively, using the classic scoring system, and 95.7% and 93.3%, respectively, using the modified scoring system. CONCLUSION DWI with ADC mapping could be integrated into the ADNEX MR scoring system to improve specificity, thereby potentially optimizing clinical management by avoiding unnecessary surgery. © 2020 International Society of Ultrasound in Obstetrics and Gynecology.
Collapse
Affiliation(s)
- N A Hottat
- Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - C Van Pachterbeke
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - K Vanden Houte
- Department of Pathology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - V Denolin
- Siemens Healthineers, Beersel, Belgium
| | - J C Jani
- Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - M M Cannie
- Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium
- Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| |
Collapse
|
29
|
Reinhold C, Rockall A, Sadowski EA, Siegelman ES, Maturen KE, Vargas HA, Forstner R, Glanc P, Andreotti RF, Thomassin-Naggara I. Ovarian-Adnexal Reporting Lexicon for MRI: A White Paper of the ACR Ovarian-Adnexal Reporting and Data Systems MRI Committee. J Am Coll Radiol 2021; 18:713-729. [PMID: 33484725 DOI: 10.1016/j.jacr.2020.12.022] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/08/2020] [Accepted: 12/08/2020] [Indexed: 01/27/2023]
Abstract
MRI is used in the evaluation of ovarian and adnexal lesions. MRI can further characterize lesions seen on ultrasound to help decrease the number of false-positive lesions and avoid unnecessary surgery in benign lesions. Currently, the reporting of ovarian and adnexal findings on MRI is inconsistent because of the lack of standardized descriptor terminology. The development of uniform reporting descriptors can lead to improved interpretation agreement and communication between radiologists and referring physicians. The Ovarian-Adnexal Reporting and Data Systems MRI Committee was formed under the direction of the ACR to create a standardized lexicon for adnexal lesions with the goal of improving the quality and consistency of imaging reports. This white paper describes the consensus process in the creation of a standardized lexicon for ovarian and adnexal lesions for MRI and the resultant lexicon.
Collapse
Affiliation(s)
- Caroline Reinhold
- Codirector, Augmented Intelligence & Precision Health Laboratory of the Research Institute of McGill University Health Center, McGill University, Montreal, Canada.
| | - Andrea Rockall
- Division of Surgery and Cancer, Imperial College London and Department of Radiology, Imperial College Healthcare NHS Trust, London, UK
| | - Elizabeth A Sadowski
- Departments of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Evan S Siegelman
- Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Katherine E Maturen
- Departments of Radiology and Obstetrics and Gynecology, University of Michigan Hospitals, Ann Arbor, Michigan
| | | | - Rosemarie Forstner
- Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria
| | - Phyllis Glanc
- University of Toronto, Sunnybrook Health Science Center, Toronto, Ontario, Canada
| | - Rochelle F Andreotti
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Isabelle Thomassin-Naggara
- Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Hôpital Tenon, Service d'Imagerie, Paris, France
| |
Collapse
|
30
|
Tong A. Differentiating benign and malignant adnexal masses: Work still in progres. Diagn Interv Imaging 2021; 101:127-128. [PMID: 32113576 DOI: 10.1016/j.diii.2020.02.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- A Tong
- Department of Radiology, NYU Langone Health, 660 1st Ave, 3rd Floor, 10016, New York.
| |
Collapse
|
31
|
Chandramohan A, Bhat TA, John R, Simon B. Multimodality imaging review of complex pelvic lesions in female pelvis. Br J Radiol 2020; 93:20200489. [DOI: 10.1259/bjr.20200489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Complex pelvic lesions can originate from various anatomical structures in the pelvis and pose a diagnostic dilemma due to a wide range of possible diagnoses. Accurate characterisation of these lesions would often require an algorithmic approach, which incorporates clinical findings, sequential use of multiple imaging modalities and a multiparametric approach. This approach usually aims at identifying key imaging features, which aid in anatomical localisation, morphology and tissue characterisation. There have been various attempts to standardise the lexicon used for describing adnexal masses in female patients; stratify their risk of cancer and suggest appropriate next steps in the management pathway. Through this review, we extend this approach to complex pelvic masses in female pelvis in general and will focus on optimal use of different imaging modalities to arrive at definitive diagnosis or meaningful differential diagnosis. We will also discuss potential pitfalls of imaging diagnosis and common mimics.
Collapse
Affiliation(s)
| | | | - Reetu John
- Department of Radiology, Christian Medical College, Vellore, India
| | - Betty Simon
- Department of Radiology, Christian Medical College, Vellore, India
| |
Collapse
|
32
|
ACR Appropriateness Criteria ® Clinically Suspected Adnexal Mass, No Acute Symptoms. J Am Coll Radiol 2020; 16:S77-S93. [PMID: 31054761 DOI: 10.1016/j.jacr.2019.02.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 02/08/2019] [Indexed: 01/30/2023]
Abstract
There are approximately 9.1 pelvic surgeries performed for every histologically confirmed adnexal malignancy in the United States, compared to 2.3 surgeries per malignancy (in oncology centers) and 5.9 surgeries per malignancy (in other centers) in Europe. An important prognostic factor in the long-term survival in patients with ovarian malignancy is the initial management by a gynecological oncologist. With high accuracy of imaging for adnexal mass characterization and consequent appropriate triage to subspecialty referral, the better use of gynecologic oncology can improve treatment outcomes. Ultrasound, including transabdominal, transvaginal, and duplex ultrasound, combined with MRI with contrast can diagnose adnexal masses as benign with specific features (ie, functional masses, dermoid, endometrioma, fibroma, pedunculated fibroid, hydrosalpinx, peritoneal inclusion cyst, Tarlov cyst), malignant, or indeterminate. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
Collapse
|
33
|
Basha MAA, Abdelrahman HM, Metwally MI, Alayouty NA, Mohey N, Zaitoun MMA, Almassry HN, Yousef HY, El Sammak AA, Aly SA, Algazzar HY, Farag MAEAM, Mosallam W, Abo Shanab WS, Ibrahim SA, Mohamed EA, Mohamed AEM, Afifi AHM, Harb OA, Azmy TM. Validity and Reproducibility of the ADNEX MR Scoring System in the Diagnosis of Sonographically Indeterminate Adnexal Masses. J Magn Reson Imaging 2020; 53:292-304. [PMID: 32715577 DOI: 10.1002/jmri.27285] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/25/2020] [Accepted: 06/26/2020] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND The diagnosis of sonographically indeterminate adnexal masses (AM) signifies a major challenge in clinical practice. Early detection and characterization have increased the need for accurate imaging evaluation before treatment. PURPOSE To assess the validity and reproducibility of the ADNEX MR Scoring system in the diagnosis of sonographically indeterminate AM. STUDY TYPE A prospective multicenter study. POPULATION In all, 531 women (mean age, 44 ± 11.2 years; range, 21-79 years) with 572 sonographically indeterminate AM. FIELD STRENGTH/SEQUENCE 1.5T/precontrast T1 -weighted imaging (WI) fast spin echo (FSE) (in-phase and out-of-phase, with and without fat suppression); T2 -WI FSE; diffusion-WI single-shot echo planner with b-values of 0 and 1000 s/mm2 ; and dynamic contrast-enhanced perfusion T1 -WI liver acquisition with volume acceleration (LAVA). ASSESSMENT All MRI examinations were evaluated by three radiologists, and the AM were categorized into five scores based on the ADNEX MR Scoring system. Score 1: no AM; 2: benign AM; 3: probably benign AM; 4: indeterminate AM; 5: probably malignant AM. Histopathology and imaging follow-up were used as the standard references for evaluating the validity of the ADNEX MR Scoring system for detecting ovarian malignancy. STATISTICAL TESTS Four-fold table test, kappa statistics (κ), and receiver operating characteristic (ROC) curve. RESULTS In all, 136 (23.8%) AM were malignant, and 436 (76.2%) were benign. Of the 350 AM classified as score 2, one (0.3%) was malignant; of the 62 AM classified as score 3, six (9.7%) were malignant; of the 73 AM classified as score 4, 43 (58.9%) were malignant; and of the 87 AM categorized as score 5, 86 (98.9%) were malignant. The best cutoff value for predicting malignant AM was score >3 with sensitivity and specificity of 92.9% and 94.9%, respectively. The interreader agreement of the ADNEX MR Scoring was very good (κ = 0.861). DATA CONCLUSION The current study supports the high validity and reproducibility of the ADNEX MR Scoring system for the diagnosis of sonographically indeterminate AM. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY STAGE: 2.
Collapse
Affiliation(s)
| | - Hossam M Abdelrahman
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Maha Ibrahime Metwally
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Nader Ali Alayouty
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Nesreen Mohey
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Mohamed M A Zaitoun
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Hosam Nabil Almassry
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Hala Y Yousef
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Ahmed A El Sammak
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Sameh Abdelaziz Aly
- Department of Radio-Diagnosis, Faculty of Human Medicine, Benha University, Benha, Egypt
| | | | | | - Walid Mosallam
- Department of Radio-Diagnosis, Faculty of Human Medicine, Suez Canal University, Ismailia, Egypt
| | - Waleed S Abo Shanab
- Department of Radio-Diagnosis, Faculty of Human Medicine, Port Said University, Port Said, Egypt
| | - Safaa A Ibrahim
- Department of Obstetrics & Gynecology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Ekramy A Mohamed
- Department of Obstetrics & Gynecology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Abd El Motaleb Mohamed
- Department of Clinical Oncology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | | | - Ola A Harb
- Department of Pathology, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| | - Taghreed M Azmy
- Department of Radio-Diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt
| |
Collapse
|
34
|
Amado Cabana S, Gallego Ojea JC, Félez Carballada M. Usefulness of dynamic contrast-enhanced magnetic resonance imaging in characterizing ovarian tumors classified as indeterminate at ultrasonography. RADIOLOGIA 2020; 64:S0033-8338(20)30073-4. [PMID: 32650993 DOI: 10.1016/j.rx.2020.05.006] [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: 01/14/2020] [Revised: 05/11/2020] [Accepted: 05/20/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To determine whether there is a significant relationship between the shape of the time-intensity curve on dynamic gadolinium-enhanced magnetic resonance imaging (MRI) of ovarian tumors classified as indeterminate at ultrasonography and the type of lesion (benign, borderline, or malignant) to enable an accurate presurgical diagnosis. MATERIAL AND METHODS We used dynamic contrast-enhanced MRI to study 68 ovarian tumors that were classified as indeterminate at ultrasonography. We included only cases for which a definitive diagnosis (histologic diagnosis or ≥1 year stability on imaging tests) was available. Each case was classified as benign, borderline, or malignant. To analyze the MRI studies, we marked regions of interest in the lesion and in the myometrium (as a reference). We obtained a curve defined by the relation between the intensity of enhancement and time and classified each tumor according to four predefined curve types. We also analyzed semiquantitative parameters. Finally, we compared the results for each of the three groups of tumors. RESULTS We found significant associations (p <0.001) between the curves without early enhancement and benign and borderline lesions as well as between the curves with early enhancement and malignant lesions. Malignant lesions were significantly associated with the semiquantitative enhancement parameters: maximum (p=0.002), maximum relative (p=0.006), and relative (p=0.018). CONCLUSIONS In ovarian tumors classified as indeterminate at ultrasonography, dynamic contrast-enhanced MRI can be useful for classification as benign, borderline, or malignant because the malignant lesions are significantly associated with early enhancement curves.
Collapse
Affiliation(s)
- S Amado Cabana
- Servicio de Radiodiagnóstico, Complexo Hospitalario Universitario de Ferrol, Ferrol, A Coruña, España.
| | - J C Gallego Ojea
- Servicio de Radiodiagnóstico, Complexo Hospitalario Universitario de Ferrol, Ferrol, A Coruña, España
| | - M Félez Carballada
- Servicio de Radiodiagnóstico, Complexo Hospitalario Universitario de Ferrol, Ferrol, A Coruña, España
| |
Collapse
|
35
|
Mokry T, Mlynarska-Bujny A, Kuder TA, Hasse FC, Hog R, Wallwiener M, Dinkic C, Brucker J, Sinn P, Gnirs R, Kauczor HU, Schlemmer HP, Rom J, Bickelhaupt S. Ultra-High- b-Value Kurtosis Imaging for Noninvasive Tissue Characterization of Ovarian Lesions. Radiology 2020; 296:358-369. [PMID: 32544033 DOI: 10.1148/radiol.2020191700] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Background MRI with contrast material enhancement is the imaging modality of choice to evaluate sonographically indeterminate adnexal masses. The role of diffusion-weighted MRI, however, remains controversial. Purpose To evaluate the diagnostic performance of ultra-high-b-value diffusion kurtosis MRI in discriminating benign and malignant ovarian lesions. Materials and Methods This prospective cohort study evaluated consecutive women with sonographically indeterminate adnexal masses between November 2016 and December 2018. MRI at 3.0 T was performed, including diffusion-weighted MRI (b values of 0-2000 sec/mm2). Lesions were segmented on b of 1500 sec/mm2 by two readers in consensus and an additional independent reader by using full-lesion segmentations on a single transversal slice. Apparent diffusion coefficient (ADC) calculation and kurtosis fitting were performed. Differences in ADC, kurtosis-derived ADC (Dapp), and apparent kurtosis coefficient (Kapp) between malignant and benign lesions were assessed by using a logistic mixed model. Area under the receiver operating characteristic curve (AUC) for ADC, Dapp, and Kapp to discriminate malignant from benign lesions was calculated, as was specificity at a sensitivity level of 100%. Results from two independent reads were compared. Histopathologic analysis served as the reference standard. Results A total of 79 ovarian lesions in 58 women (mean age ± standard deviation, 48 years ± 14) were evaluated. Sixty-two (78%) lesions showed benign and 17 (22%) lesions showed malignant histologic findings. ADC and Dapp were lower and Kapp was higher in malignant lesions: median ADC, Dapp, and Kapp were 0.74 µm2/msec (range, 0.52-1.44 µm2/msec), 0.98 µm2/msec (range, 0.63-2.12 µm2/msec), and 1.01 (range, 0.69-1.30) for malignant lesions, and 1.13 µm2/msec (range, 0.35-2.63 µm2/msec), 1.45 µm2/msec (range, 0.44-3.34 µm2/msec), and 0.65 (range, 0.44-1.43) for benign lesions (P values of .01, .02, < .001, respectively). AUC for Kapp of 0.85 (95% confidence interval: 0.77, 0.94) was higher than was AUC from ADC of 0.78 (95% confidence interval: 0.67, 0.89; P = .047). Conclusion Diffusion-weighted MRI by using quantitative kurtosis variables is superior to apparent diffusion coefficient values in discriminating benign and malignant ovarian lesions and might be of future help in clinical practice, especially in patients with contraindication to contrast media application. © RSNA, 2020 Online supplemental material is available for this article.
Collapse
Affiliation(s)
- Theresa Mokry
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Anna Mlynarska-Bujny
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Tristan Anselm Kuder
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Felix Christian Hasse
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Robert Hog
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Markus Wallwiener
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Christine Dinkic
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Janina Brucker
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Peter Sinn
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Regula Gnirs
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Hans-Ulrich Kauczor
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Heinz-Peter Schlemmer
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Joachim Rom
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| | - Sebastian Bickelhaupt
- From the Department of Diagnostic and Interventional Radiology, Clinic of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany (T.M., F.C.H., H.U.K.); Department of Radiology (T.M., A.M.B., R.H., R.G., H.P.S., S.B.) and Department of Medical Physics in Radiology (A.M.B., T.A.K.), German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany (A.M.B.); Hospital for General Obstetrics and Gynecology, University Hospital Heidelberg, Heidelberg, Germany (M.W., C.D., J.B.); Department of Pathology, Heidelberg University Hospital, Heidelberg, Germany (P.S.); Hospital for General Obstetrics and Gynecology, Frankfurt Hoechst, Germany (J.R.); Junior Group Medical Imaging and Radiology-Cancer Prevention, German Cancer Research Center, Heidelberg, Germany (R.H., S.B.); and Institute of Radiology, University Hospital Erlangen, Erlangen, Germany (S.B.)
| |
Collapse
|
36
|
Diffusion-Weighted Imaging in Oncology: An Update. Cancers (Basel) 2020; 12:cancers12061493. [PMID: 32521645 PMCID: PMC7352852 DOI: 10.3390/cancers12061493] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 05/28/2020] [Accepted: 06/01/2020] [Indexed: 02/06/2023] Open
Abstract
To date, diffusion weighted imaging (DWI) is included in routine magnetic resonance imaging (MRI) protocols for several cancers. The real additive role of DWI lies in the "functional" information obtained by probing the free diffusivity of water molecules into intra and inter-cellular spaces that in tumors mainly depend on cellularity. Although DWI has not gained much space in some oncologic scenarios, this non-invasive tool is routinely used in clinical practice and still remains a hot research topic: it has been tested in almost all cancers to differentiate malignant from benign lesions, to distinguish different malignant histotypes or tumor grades, to predict and/or assess treatment responses, and to identify residual or recurrent tumors in follow-up examinations. In this review, we provide an up-to-date overview on the application of DWI in oncology.
Collapse
|
37
|
Bekhouche A, Pottier E, Abdel Wahab C, Milon A, Kermarrec É, Bazot M, Thomassin-Naggara I. Nouvelles recommandations pour le bilan des masses annexielles indéterminées. IMAGERIE DE LA FEMME 2020. [DOI: 10.1016/j.femme.2020.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
38
|
Ovarian solid tumors: MR imaging features with radiologic-pathologic correlation. Jpn J Radiol 2020; 38:719-730. [PMID: 32342277 DOI: 10.1007/s11604-020-00976-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 04/08/2020] [Indexed: 10/24/2022]
Abstract
Ovarian solid tumors have variable histological types including benign and malignant tumors. In addition, non-neoplastic lesions sometimes show a tumor-like appearance. It is important to differentiate benign from malignant tumors. In general, low signal intensity (SI) on T2-weighted imaging (T2WI), low SI on diffusion-weighted imaging (DWI), and gradual increased pattern on dynamic contrast-enhanced magnetic resonance (MR) imaging are known to be suggestive of a benign tumor. Conversely, there are some cases in which these rules do not apply. We should, therefore, strive for a greater understanding of these exceptional cases. Several tumors show characteristic findings on MR imaging reflecting pathologic features, which leads to the correct diagnosis. Additionally, MR imaging provides important information other than the nature of tumors, such as secondary uterine changes. Furthermore, clinical findings and laboratory examination data also help in determining the correct diagnosis.
Collapse
|
39
|
Garza A, Elsherif SB, Faria SC, Sagebiel T, Sun J, Ma J, Bhosale PR. Staging MRI of uterine malignant mixed Müllerian tumors versus endometrial carcinomas with emphasis on dynamic enhancement characteristics. Abdom Radiol (NY) 2020; 45:1141-1154. [PMID: 31190089 DOI: 10.1007/s00261-019-02096-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE To determine whether staging pelvic magnetic resonance imaging (MRI) can distinguish malignant mixed Müllerian tumor (MMMT) from EC. METHODS Thirty-seven treatment-naïve patients with histologically proven uterine MMMT and 42 treatment-naïve patients with EC, treated at our institution, were included in our retrospective study. Staging pelvic MRI scans were reviewed for tumor size, prolapse through cervical os, and other features. Time-intensity curves for tumor and surrounding myometrium regions of interest were generated, and positive enhancement integral (PEI), maximum slope of increase (MSI), and signal enhancement ratio (SER) were measured. The Fisher's exact test or Wilcoxon rank-sum test was used to compare characteristics between disease groups. Multivariate and univariate logistic regression models were used to distinguish MMMT from EC. Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate prediction ability. RESULTS MMMTs were larger than ECs with higher rate of tumor prolapse and more heterogeneous tumor enhancement compared to ECs. During the late phase of contrast enhancement, 100% of ECs, but only 84% of MMMTs, had lower signal intensity than the myometrium. Threshold PEI ratio ≥ 0.67 predict MMMT with 76% sensitivity, 84%, specificity and 0.83 AUC. Threshold SER ≤ 125 predict MMMT with 90% sensitivity, 50% specificity, and 0.72 AUC. CONCLUSION MMMTs may show more frequent tumor prolapse, more heterogeneous enhancement, delayed iso- or hyper-enhancement, higher PEI ratios, and lower tumor SERs compared with EC. MRI can be used as a biomarker to distinguish MMMT from EC based on the enhancement pattern.
Collapse
Affiliation(s)
- Alheli Garza
- Radiology Associates of North Texas, Dallas, TX, USA
| | - Sherif B Elsherif
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA.
| | - Silvana C Faria
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Tara Sagebiel
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| | - Jia Sun
- The Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Jingfei Ma
- The Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Priya R Bhosale
- The Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St., Houston, TX, 77030, USA
| |
Collapse
|
40
|
Differentiation between benign and malignant ovarian masses using multiparametric MRI. Diagn Interv Imaging 2020; 101:147-155. [DOI: 10.1016/j.diii.2020.01.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 01/05/2020] [Accepted: 01/06/2020] [Indexed: 12/16/2022]
|
41
|
Stein EB, Hansen JM, Maturen KE. Fertility-Sparing Approaches in Gynecologic Oncology. Radiol Clin North Am 2020; 58:401-412. [DOI: 10.1016/j.rcl.2019.10.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
|
42
|
Abstract
This article provides an overview of the imaging evaluation of benign ovarian and adnexal masses in premenopausal and postmenopausal women and lesions discovered during pregnancy. Current imaging techniques are discussed, including pitfalls and differential diagnosis when necessary, as well as management. It also reviews the now well-established American College of Radiology (ACR)/Society of Radiologists in Ultrasound consensus guidelines and covers the more recently introduced Ovarian-Adnexal Reporting and Data System by the ACR and the recently published ADNEx Scoring System.
Collapse
Affiliation(s)
- Nadia J Khati
- Department of Radiology, Abdominal Imaging Section, The George Washington University Hospital, 900 23rd Street, Northwest, Washington, DC 20037, USA.
| | - Tammy Kim
- Department of Radiology, Abdominal Imaging Section, The George Washington University Hospital, 900 23rd Street, Northwest, Washington, DC 20037, USA
| | - Joanna Riess
- Department of Radiology, Abdominal Imaging Section, The George Washington University Hospital, 900 23rd Street, Northwest, Washington, DC 20037, USA
| |
Collapse
|
43
|
[Borderline Ovarian Tumours: CNGOF Guidelines for Clinical Practice - Pregnancy]. ACTA ACUST UNITED AC 2020; 48:322-329. [PMID: 32004783 DOI: 10.1016/j.gofs.2020.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To determine the place of imaging, tumour markers, type of treatment and surgical route, follow-up, delivery mode, and re-staging in case of BOT during pregnancy, in order to provide guidelines. METHOD A systematic bibliographical analysis on BOT during pregnancy was performed through a PUDMED search on articles published from 1990 to 2019 using keywords « borderline ovarian tumour and pregnancy ». RESULTS Pelvic ultrasound is the gold standard and first-line examination for the detection and characterization of adnexal masses during pregnancy (grade C). Pelvic MRI is recommended from 12 gestational weeks in case of indeterminate adnexal masses and should be concluded by a diagnostic score (grade C). Gadolinium injection should be minimized because of proven risk to the fetus and should be discussed on a case-by-case basis after patient information (grade C). In the absence of data in the literature, it is not possible to recommend the use of any tumour marker for the diagnosis of BOT during pregnancy. In case of a surgical treatment of BOT during pregnancy, there is insufficient evidence to recommend either a cystectomy or an oophorectomy. For BOT, the laparoscopic approach should be preferred during pregnancy if it is feasible (grade C). Surgical route and type of surgery should be chosen after taking into account the tumour size, the obstetrical term, and the subsequent desire for pregnancy, following discussion in a multidisciplinary meeting. In the absence of sufficient data in the literature, it is not possible to make any recommendation on the follow-up of a BOT suspected during pregnancy. There is not enough evidence in the literature to change obstetrical management for delivery in patients with BOT. In case of incomplete staging of a BOT treated during pregnancy, restaging can be discussed as for non-pregnant patients (grade C). CONCLUSION The diagnosis of BOT occurring during pregnancy remains rare despite systematic screening of adnexal masses in the first trimester of pregnancy and an increasing maternal age. There is limited data in the literature concerning the management of BOT during pregnancy. All decisions must be taken after discussion in a multidisciplinary meeting.
Collapse
|
44
|
Fang M, Dong J, Zhong Q, Fang X, Chen Y, Wang C, Yan H. Value of diffusion-weighted imaging combined with conventional magnetic resonance imaging in the diagnosis of thecomas and their differential diagnosis with adult granulosa cell tumors. Acta Radiol 2019; 60:1532-1542. [PMID: 30776906 DOI: 10.1177/0284185119830280] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Mengshi Fang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Jiangning Dong
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Qun Zhong
- Department of Radiology, Fuzhou General Hospital, PLA, Fuzhou, Fujian, PR China
| | - Xin Fang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Yulan Chen
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Chuanbin Wang
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| | - Hong Yan
- Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, PR China
| |
Collapse
|
45
|
Jayasankaran SC, Chelakkot PG, Prabhakaran P, Sekhar R. Role of Diffusion-Weighted Magnetic Resonance Imaging in the Evaluation of Ovarian Tumours. INDIAN JOURNAL OF GYNECOLOGIC ONCOLOGY 2019. [DOI: 10.1007/s40944-019-0305-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
46
|
Do DWI and quantitative DCE perfusion MR have a prognostic value in high-grade serous ovarian cancer? Radiol Med 2019; 124:1315-1323. [PMID: 31473928 DOI: 10.1007/s11547-019-01075-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 08/13/2019] [Indexed: 01/23/2023]
Abstract
PURPOSE To evaluate whether perfusion and diffusion parameters from staging MR in ovarian cancer (OC) patients may predict the presence of residual tumor at surgery and the progression-free survival (PFS) in 12 months. MATERIALS AND METHODS Patients who are from a single institution, candidate for OC to cytoreductive surgery and undergoing MR for staging purposes were included in this study. Inclusion criteria were: preoperative MR including diffusion-weighted imaging (DWI) and perfusion dynamic contrast-enhanced (DCE) sequence; cytoreductive surgery performed within a month from MR; and minimum follow-up of 12 months. Patients' characteristics including the presence of residual tumor at surgery (R0 or R1) and relapse within 12 months from surgery were recorded. DWI parameters included apparent diffusion coefficient (ADC) of the largest ovarian mass (O-ADC) and normalized ovarian ADC as a ratio between ovarian ADC and muscle ADC (M-ADC). DCE quantitative parameters included were descriptors of tumor vascular properties such as forward and backward transfer constants, plasma volume and volume of extracellular space. Statistical analysis was performed, and p values < 0.05 were considered significant. RESULTS Forty-nine patients were included. M-ADC showed a slightly significant association with the presence of residual tumor at surgery. None of the other functional parameters showed either difference between R0 and R1 patients or association with PFS in the first 12 months. CONCLUSIONS This preliminary study demonstrated a slightly significant association between normalized ovarian ADC and the presence of residual tumor at surgery. The other perfusion and diffusion parameters were not significant for the endpoints of this study.
Collapse
|
47
|
Mansour SM, Gomma MMM, Shafik PN. Proton MR spectroscopy and the detection of malignancy in ovarian masses. Br J Radiol 2019; 92:20190134. [PMID: 31287729 DOI: 10.1259/bjr.20190134] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To assess the impact of MR spectroscopy (MRS) on the detection of malignancy in ovarian masses. METHODS This prospective work included 230 females that had 245 adnexal/ovarian masses. Tumours were spotted by preliminary pelvic ultrasound. Masses assessed by MRI, multi- or single-voxel spectroscopy. Patients' spectra were assessed for peaks of lactate (Lac, 1.31 ppm), lipid (Lip, 1.33 ppm), N-acetyl aspartate (2.0 ppm), acetone (A, 2.05 ppm), choline (Cho, 3.23 ppm) and creatinine (Cr, 3.4 ppm) and the mean values of the (Cho/Cr) ratios were performed by a semi-quantitative approach. The operative pathology served as the standard of reference. RESULTS Cho peak twofold higher than the average noise level was detected in 72% of the malignant and only 5.4% of the benign masses with an accuracy of 83%. Adding lactate to the choline enhanced the accuracy to 93%. The mean Cho/Cr ratios of the malignant ovarian masses (2.8) were significantly higher than that of the benign ones (1.2) . We used a receiver operating characteristic curve to determine the best cut-off value (1.7) for the mean Cho/Cr ratio to discriminate malignancy with sensitivity: 81.2%, specificity: 93.3 %, positive-predictive value: 92.9 %, negative-predictive value: 82.4% and accuracy: 87.1%. CONCLUSION The simultaneous presence of choline and lactate peaks in MRS examination of the ovarian masses minimizes the overlap between benign and malignant categories. N-acetyl aspartate and acetone are the metabolites for diagnosing complex cystic masses as benign teratoma, endomterioma and tubo- ovarian abscess. ADVANCES IN KNOWLEDGE MRS is a non-contrast based and fast MR sequence that gives an idea about tissue components could be used to improve the sensitivity and the accuracy of detecting malignancy in ovarian masses.
Collapse
Affiliation(s)
- Sahar Mahmoud Mansour
- 1Department of Radiology (Women's imaging unit), Kasr ElAiny Hospital - Faculty of Medicine - Cairo University, Cairo, Egypt
| | | | - Peter Nashaat Shafik
- 2Department of Radiology, National Cancer Institute- Faculty of Medicine - Cairo University, Cairo, Egypt
| |
Collapse
|
48
|
Nikolic O, Basta Nikolic M, Spasic A, Otero-Garcia MM, Stojanovic S. Systematic radiological approach to utero-ovarian pathologies. Br J Radiol 2019; 92:20180439. [PMID: 31169406 PMCID: PMC6636271 DOI: 10.1259/bjr.20180439] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 12/13/2018] [Accepted: 01/16/2019] [Indexed: 12/19/2022] Open
Abstract
Ultrasound is the first-line imaging modality for the evaluation of suspected adnexal masses, endometriosis and uterine tumors, whereas MRI is used as a secondary diagnostic tool to better characterize these lesions. The aim of this review is to summarize the latest advances in the imaging of these utero-ovarian pathologies.
Collapse
|
49
|
Zhang G, Yao W, Sun T, Liu X, Zhang P, Jin J, Bai Y, Hua K, Zhang H. Magnetic resonance imaging in categorization of ovarian epithelial cancer and survival analysis with focus on apparent diffusion coefficient value: correlation with Ki-67 expression and serum cancer antigen-125 level. J Ovarian Res 2019; 12:59. [PMID: 31242916 PMCID: PMC6595619 DOI: 10.1186/s13048-019-0534-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 06/21/2019] [Indexed: 01/25/2023] Open
Abstract
Background To determine whether magnetic resonance (MR) imaging features combined with apparent diffusion coefficient (ADC) values could be used as a tool for categorizing ovarian epithelial cancer (OEC) and predicting survival, as well as correlating with laboratory tests (serum cancer antigen 125, serum CA-125) and tumor proliferative index (Ki-67 expression). Methods and materials MRI examination was undertaken before invasive procedures. MRI features were interpreted and recorded on the picture archive communication system (PACS). ADC measurements were manually performed on post-process workstation. Clinical characteristics were individually retrieved and recorded through the hospital information system (HIS). Cox hazard model was used to estimate the effects of both clinical and MRI features on overall survival. Results Both clinical and MRI features differed significantly between Type I and Type II cancer groups (p < 0.05). The mean ADC value was inversely correlated with Ki-67 expression in Type I cancer (ρ = − 0.14, p < 0.05). A higher mean ADC value was more likely to suggest Type I ovarian cancer (Odds Ratio (OR) = 16.80, p < 0.01). Old age and an advanced International Federation of Gynecology and Obstetrics (FIGO) stage were significantly related to Type II ovarian cancer (OR = 0.22/0.02, p < 0.05). An advanced FIGO stage, solid components, and old age were significantly associated with poor survival (Hazard Ratio (HR) = 23.54/3.69/2.46, p < 0.05). Clear cell cancer type had a poorer survival than any other pathological subtypes of ovarian cancer (HR = 13.6, p < 0.01). Conclusions MR imaging features combined with ADC value are helpful in categorizing OEC. ADC values can reflect tumor proliferative ability. A solid mass may predict poor prognosis for OEC patients. Electronic supplementary material The online version of this article (10.1186/s13048-019-0534-0) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Guofu Zhang
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China
| | - Weigen Yao
- Department of Radiology, Yuyao People's Hospital, Ningbo, Zhejiang province, People's Republic of China
| | - Taotao Sun
- Department of Radiology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Xuefen Liu
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China
| | - Peng Zhang
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China
| | - Jun Jin
- Department of Pathology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China
| | - Yu Bai
- Center for Child and Family Policy, Duke University, Durham, USA
| | - Keqin Hua
- Department of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China
| | - He Zhang
- Department of Radiology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People's Republic of China.
| |
Collapse
|
50
|
Malek M, Oghabian Z, Tabibian E, Rahmani M, Miratashi Yazdi SN, Oghabian MA, Parviz S. Comparison of Qualitative (Time Intensity Curve Analysis), Semi-Quantitative, and Quantitative Multi-Phase 3T DCEMRI Parameters as Predictors of Malignancy in Adnexal. Asian Pac J Cancer Prev 2019; 20:1603-1611. [PMID: 31244278 PMCID: PMC7021620 DOI: 10.31557/apjcp.2019.20.6.1603] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Indexed: 01/08/2023] Open
Abstract
Objective: The present study aimed to compare the qualitative (time intensity curve analysis), the semi-quantitative and the quantitative multiphase 3T dynamic contrast-enhanced (DCE) MRI parameters as predictors of malignancy in adnexal masses. Materials and Methods: In this prospective study, women with an adnexal mass who were scheduled for surgical resection or were followed for more than one year period to confirm the benignity of their lesions, underwent multiphase 3T DCE-MRI. The qualitative (time intensity curve), semi-quantitative (SImax, SIrel, WIR) and quantitative (Ktrans, Kep, Vb) analyses were performed on DCE-MRI sequences and their predictive values were compared. Results: A total of 17 benign and 14 malignant lesions were included. According to the qualitative analysis, none of the lesions with Type I time intensity curves (TIC) were malignant and none of the masses with Type III TICs were benign. The accuracy of the quantitative parameters in detection of malignancy was found to be higher than that of semi-quantitative variables, particularly when calculated for a small ROI within the high signal area of the mass (sROI) rather than the largest ROI including the whole mass (lROI), and when inter-MRI variations were omitted using ratios. The Kep(tumor)/Kep(myometrium) ratio measured from sROI was the best parameter for differentiating a malignant lesion with a sensitivity of 100% and a specificity of 92.3%. Conclusion: We concluded that a Type I TIC confirms a benign lesion, and a type III TIC confirms the malignancy and further evaluation is not recommended for these lesions. So complementary quantitative analysis is only recommended for adnexal masses with type II TICs.
Collapse
Affiliation(s)
- Mehrooz Malek
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Zeynab Oghabian
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Elnaz Tabibian
- Department of Radiology, Medical Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Maryam Rahmani
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Seyedeh Nooshin Miratashi Yazdi
- Department of Radiology, Medical Imaging Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.
| | - Mohammad Ali Oghabian
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Sara Parviz
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|