1
|
Xi Y, Jiang H. Correspondence to: 'Diagnostic value of endoscopic ultrasound in pelvic masses with bowel involvement'. Int J Surg 2024; 110:5302-5303. [PMID: 38729107 DOI: 10.1097/js9.0000000000001589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/12/2024]
Affiliation(s)
- Yue Xi
- The First Clinical Medical School, Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China
| | | |
Collapse
|
2
|
Petrocelli R, Doshi A, Slywotzky C, Savino M, Melamud K, Tong A, Hindman N. Performance of O-RADS MRI Score in Differentiating Benign From Malignant Ovarian Teratomas: MR Feature Analysis for Differentiating O-RADS 4 From O-RADS 2. J Comput Assist Tomogr 2024:00004728-990000000-00334. [PMID: 38968317 DOI: 10.1097/rct.0000000000001629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2024]
Abstract
OBJECTIVE The aim of the study is to evaluate the performance of the ovarian-adnexal reporting and data system magnetic resonance imaging (O-RADS MRI) score and perform individual MRI feature analysis for differentiating between benign and malignant ovarian teratomas. METHODS In this institutional review board-approved retrospective study, consecutive patients with a pathology-proven fat-containing ovarian mass imaged with contrast-enhanced MRI (1.5T or 3T) from 2013 to 2022 were included. Two blinded radiologists independently evaluated masses per the O-RADS MRI lexicon, including having a "characteristic" or "large" Rokitansky nodule (RN). Additional features analyzed included the following: nodule size/percentage volume relative to total teratoma volume, presence of bulk/intravoxel fat in the nodule, diffusion restriction in the nodule, angular interface, nodule extension through the teratoma border, presence/type of nodule enhancement pattern (solid versus peripheral), and evidence for metastatic disease. An overall O-RADS MRI score was assigned. Patient and lesion features associated with malignancy were evaluated and used to create a malignant teratoma score. χ2, Fisher's exact tests, receiver operating characteristic curve, and κ analysis was performed. RESULTS One hundred thirty-seven women (median age 34, range 9-84 years) with 123 benign and 14 malignant lesions were included. Mean teratoma size was 7.3 cm (malignant: 14.4 cm, benign: 6.5 cm). 18/123 (14.6%) of benign teratomas were assigned an O-RADS 4 based on the presence of a "large" (11/18) or "noncharacteristic" (12/18) RN. 12/14 malignant nodules occupied >25% of the total teratoma volume (P = 0.09). Features associated with malignancy included the following: age <18 years, an enhancing noncharacteristic RN, teratoma size >12 cm, irregular cystic border, and extralesional extension; these were incorporated into a malignant teratoma score, with a score of 2 or more associated with area under the curve of 0.991 for reviewer 1 and 0.993 for reviewer 2. Peripheral enhancement in a RN was never seen with malignancy (64/123 benign, 0/14 malignant) and would have appropriated downgraded 9/18 overcalled O-RADS 4 benign teratomas. CONCLUSIONS O-RADS MRI overcalled 15% (18/123) benign teratomas as O-RADS 4 but correctly captured all malignant teratomas. We propose defining a "characteristic" RN as an intravoxel or bulk fat-containing nodule. Observation of a peripheral rim of enhancement in a noncharacteristic RN allowed more accurate prediction of benignity and should be added to the MRI lexicon for improved O-RADS performance.
Collapse
Affiliation(s)
- Robert Petrocelli
- From the Body Imaging Dept, NYU Grossman School of Medicine, New York, NY
| | - Ankur Doshi
- From the Body Imaging Dept, NYU Grossman School of Medicine, New York, NY
| | - Chrystia Slywotzky
- From the Body Imaging Dept, NYU Grossman School of Medicine, New York, NY
| | - Marissa Savino
- Staff Radiologist, General Radiology Department, Walnut Creek Medical Center, Walnut Creek, CA
| | - Kira Melamud
- From the Body Imaging Dept, NYU Grossman School of Medicine, New York, NY
| | - Angela Tong
- From the Body Imaging Dept, NYU Grossman School of Medicine, New York, NY
| | - Nicole Hindman
- From the Body Imaging Dept, NYU Grossman School of Medicine, New York, NY
| |
Collapse
|
3
|
Eresen A. Leveraging Artificial Intelligence to Revolutionize Ovarian Cancer Diagnosis. Acad Radiol 2024; 31:2402-2404. [PMID: 38704287 DOI: 10.1016/j.acra.2024.04.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 05/06/2024]
Affiliation(s)
- Aydin Eresen
- Department of Radiological Sciences, University of California Irvine, Irvine, California, USA.
| |
Collapse
|
4
|
Mekni K, Baba M, Haddad I, Aaraar M, Mejri O, ElFekih C. [Applicability of the Adnex score in predicting the malignancy of ovarian cysts]. GYNECOLOGIE, OBSTETRIQUE, FERTILITE & SENOLOGIE 2024; 52:398-402. [PMID: 38065408 DOI: 10.1016/j.gofs.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/10/2023] [Accepted: 12/03/2023] [Indexed: 12/24/2023]
Abstract
OBJECTIVE Ovarian cancer screening is a difficult problem due to the anatomy of the ovaries. Only histology allows a definite diagnosis. Our objective was to study the contribution of the Adnex score in the histological characterization of adnexal images for adequate management. METHODS It was a retrospective, mono-center, descriptive and analytical. Sixty-five patients were included, those operated for an ovarian cyst and meeting the Adnex criteria: clinical, ultrasound and laboratory. RESULTS The mean age of the patients was 38.6 years. They were nulliparous in 43 % of cases, and only four had a history of operation on ovarian cyst. Abdominal pelvic pain was the most frequent reason for consultation in 48 % of cases. An abdominopelvic mass was found on abdominal examination in 11 % of cases. Pelvic ultrasound made it possible to objectify the presence of an ovarian mass in all cases, with an average size of 79.66mm and a reassuring appearance in 66 % of cases. The calculation of the Adnex score was done in all patients preoperatively, for a 10 % cut-off, the model showed an 86 % chance of benignity for tumors proven to be histologically benign. The main route of entry was laparoscopy, in 61 % of cases. The treatment was in most cases conservative consisting essentially of a cystectomy. CONCLUSION The Adnex score discriminated well between benign and malignant masses, allowing for a better diagnosis preoperatively. It thus deserves its applicability in the clinical setting.
Collapse
Affiliation(s)
- Karima Mekni
- Service de gynéco-obstétrique, hôpital Mahmoud El Matri, 2080 Ariana, Tunisie; Faculté of Médicine, Université Tunis El Manar, Tunis, Tunisia; Laboratoire de recherche LR18SP05, Tunis, Tunisia.
| | - Meriam Baba
- Service de gynéco-obstétrique, hôpital Mahmoud El Matri, 2080 Ariana, Tunisie
| | - Ines Haddad
- Service de gynéco-obstétrique, hôpital Mahmoud El Matri, 2080 Ariana, Tunisie
| | - Monia Aaraar
- Service de gynéco-obstétrique, hôpital Mahmoud El Matri, 2080 Ariana, Tunisie
| | - Oumayma Mejri
- Service de gynéco-obstétrique, hôpital Mahmoud El Matri, 2080 Ariana, Tunisie; Faculté of Médicine, Université Tunis El Manar, Tunis, Tunisia
| | - Chiraz ElFekih
- Service de gynéco-obstétrique, hôpital Mahmoud El Matri, 2080 Ariana, Tunisie; Faculté of Médicine, Université Tunis El Manar, Tunis, Tunisia
| |
Collapse
|
5
|
Dabi Y, Rockall A, Sadowski E, Touboul C, Razakamanantsoa L, Thomassin-Naggara I. O-RADS MRI to classify adnexal tumors: from clinical problem to daily use. Insights Imaging 2024; 15:29. [PMID: 38289563 PMCID: PMC10828223 DOI: 10.1186/s13244-023-01598-0] [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: 09/03/2023] [Accepted: 11/25/2023] [Indexed: 02/02/2024] Open
Abstract
Eighteen to 35% of adnexal masses remain non-classified following ultrasonography, leading to unnecessary surgeries and inappropriate management. This finding led to the conclusion that ultrasonography was insufficient to accurately assess adnexal masses and that a standardized MRI criteria could improve these patients' management. The aim of this work is to present the different steps from the identification of the clinical issue to the daily use of a score and its inclusion in the latest international guidelines. The different steps were the following: (1) preliminary work to formalize the issue, (2) physiopathological analysis and finding dynamic parameters relevant to increase MRI performances, (3) construction and internal validation of a score to predict the nature of the lesion, (4) external multicentric validation (the EURAD study) of the score named O-RADS MRI, and (5) communication and education work to spread its use and inclusion in guidelines. Future steps will include studies at patients' levels and a cost-efficiency analysis. Critical relevance statement We present translating radiological research into a clinical application based on a step-by-step structured and systematic approach methodology to validate MR imaging for the characterization of adnexal mass with the ultimate step of incorporation in the latest worldwide guidelines of the O-RADS MRI reporting system that allows to distinguish benign from malignant ovarian masses with a sensitivity and specificity higher than 90%. Key points • The initial diagnostic test accuracy studies show the limitation of a preoperative assessment of adnexal masses using solely ultrasonography.• The technical developments (DCE/DWI) were investigated with the value of dynamic MRI to accurately predict the nature of benign or malignant lesions to improve management.• The first developing score named ADNEX MR Score was constructed using multiple easily assessed criteria on MRI to classify indeterminate adnexal lesions following ultrasonography.• The multicentric adnexal study externally validated the score creating the O-RADS MR score and leading to its inclusion for daily use in international guidelines.
Collapse
Affiliation(s)
- Yohann Dabi
- APHP, Sorbonne Université, Hôpital Tenon, Service de Gynecologie Et Obstétrique, 75020, Paris, France
- Institut Universitaire de Cancérologie, Sorbonne Université, Hôpital Tenon, Service de Radiologie, 58 Avenue Gambetta, 75020, Paris, France
| | - Andrea Rockall
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Department of Radiology, Imperial College Healthcare NHS Trust, London, UK
| | | | - Cyril Touboul
- APHP, Sorbonne Université, Hôpital Tenon, Service de Gynecologie Et Obstétrique, 75020, Paris, France
- Institut Universitaire de Cancérologie, Sorbonne Université, Hôpital Tenon, Service de Radiologie, 58 Avenue Gambetta, 75020, Paris, France
| | - Leo Razakamanantsoa
- Institut Universitaire de Cancérologie, Sorbonne Université, Hôpital Tenon, Service de Radiologie, 58 Avenue Gambetta, 75020, Paris, France
- APHP, Sorbonne Université, Hôpital Tenon, Service de Radiologie, 58 Avenue Gambetta, 75020, Paris, France
| | - Isabelle Thomassin-Naggara
- Institut Universitaire de Cancérologie, Sorbonne Université, Hôpital Tenon, Service de Radiologie, 58 Avenue Gambetta, 75020, Paris, France.
- APHP, Sorbonne Université, Hôpital Tenon, Service de Radiologie, 58 Avenue Gambetta, 75020, Paris, France.
| |
Collapse
|
6
|
Martire FG, Piccione E, Exacoustos C, Zupi E. Endometriosis and Adolescence: The Impact of Dysmenorrhea. J Clin Med 2023; 12:5624. [PMID: 37685691 PMCID: PMC10488856 DOI: 10.3390/jcm12175624] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/24/2023] [Accepted: 08/27/2023] [Indexed: 09/10/2023] Open
Abstract
Endometriosis affects approximately 10% of premenopausal women worldwide. Despite its impact on quality of life, the delay in diagnosing this chronic disease is well known. Many patients with endometriosis report having suffered from dysmenorrhea and chronic pelvic pain in adolescence or at a young age. However, this painful symptom is often highly underestimated and considered a normal and transient symptom in young women. The real prevalence of endometriosis in adolescence remains uncertain. Some authors recently described at least one ultrasound feature of endometriosis in 13.3% of a general population of adolescent girls, which increased to 35.3% in young girls with severe dysmenorrhea. Dysmenorrhea is classified as primary dysmenorrhea or secondary dysmenorrhea. Primary dysmenorrhea is defined as a menstrual pain without organic disease, while secondary dysmenorrhea is defined as a menstrual pain associated with organic pelvic pathology. Since endometriosis represents the main cause of secondary dysmenorrhea in adolescents and young women, it is important to determine whether the patient has primary dysmenorrhea or additional suggestive symptoms related to endometriosis. Endometriosis in adolescent patients is a challenging problem with clinical and pathological differences compared with its presentation in premenopausal women. Adolescents and young women with dysmenorrhea and painful symptoms that suggest endometriosis should be referred to dedicated endometriosis centers for an early diagnosis and appropriate medical and surgical management. This paper aims to describe the role of dysmenorrhea in adolescents and the management of these young patients to confirm or exclude endometriosis.
Collapse
Affiliation(s)
- Francesco G. Martire
- Department of Biomedicine and Prevention, Section of Gynecology and Obstetrics, University of Rome “Tor Vergata”, 00133 Rome, Italy;
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy;
| | - Emilio Piccione
- Department of Surgical Sciences, Catholic University “Our Lady of Good Counsel”, 1000 Tirane, Albania
| | - Caterina Exacoustos
- Department of Surgical Sciences, Section of Gynecology and Obstetrics, University of Rome “Tor Vergata”, 00133 Rome, Italy;
| | - Errico Zupi
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy;
| |
Collapse
|
7
|
Lazzeri L, Andersson KL, Angioni S, Arena A, Arena S, Bartiromo L, Berlanda N, Bonin C, Candiani M, Centini G, Forno SD, Donati A, Exacoustos C, Fuggetta E, Labanca L, Maiorana A, Maneschi F, Mattei A, Muzii L, Ottolina J, Perandini A, Perelli F, Pino I, Porpora MG, Remorgida V, Scaramuzzino S, Schimberni M, Seracchioli R, Solima E, Vignali M, Zupi E, Martire FG. How to Manage Endometriosis in Adolescence: The Endometriosis Treatment Italian Club Approach. J Minim Invasive Gynecol 2023; 30:616-626. [PMID: 37001691 DOI: 10.1016/j.jmig.2023.03.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 04/03/2023]
Abstract
The evaluation of endometriosis in an adolescent girl is a challenging topic. The initial stage of the disease and the limited diagnostic instrument appropriate for the youth age and for its typical features can reduce the ability of the gynecologist. At the same time, missing a prompt diagnosis can delay the beginning of specific and punctual management of endometriosis, which could avoid a postponed diagnosis from 6 to 12 years, typical of adolescent girls complaining of dysmenorrhea. This article aimed to answer all the potential questions around the diagnosis and management of endometriosis in adolescents starting from a clinical case looking at the possible solution that is easily reproducible in the clinical practice.
Collapse
Affiliation(s)
- Lucia Lazzeri
- Department of Molecular and Developmental Medicine (Drs. Lazzeri, Centini, Martire, and Zupi), Università di Siena, Siena, Italy
| | - Karin Louise Andersson
- Department of Territory Health (Dr. Andersson, Exacoustos), Azienda Sanitaria Toscana Centro, Florence, Italy
| | - Stefano Angioni
- Department of Surgical Sciences (Dr. Angioni), Università di Cagliari, Cittadella Universitaria, Cagliari, Italy
| | - Alessandro Arena
- Department of Medical and Surgical Sciences (Drs. A. Arena, Del Forno, and Seracchioli), DIMEC, Sant'Orsola Hospital, Università di Bologna, Bologna, Italy
| | - Saverio Arena
- Department of Obstetrics and Gynecology (Arena), Santa Maria della Misericordia hospital, Perugia, Italy
| | - Ludovica Bartiromo
- Department of Obstetrics and Gynecology (Drs. Bartiromo, Candiani, Ottolina, and Schimberni), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nicola Berlanda
- Department of Obstetrics and Gynecology (Drs. Berlanda and Donati), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy
| | - Cecilia Bonin
- Azienda Ospedaliera Universitaria Integrata (Drs. Bonin and Perandini), Università di Verona, Piazzale A. Stefani 1, Verona, Italy
| | - Massimo Candiani
- Department of Obstetrics and Gynecology (Drs. Bartiromo, Candiani, Ottolina, and Schimberni), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Gabriele Centini
- Department of Molecular and Developmental Medicine (Drs. Lazzeri, Centini, Martire, and Zupi), Università di Siena, Siena, Italy
| | - Simona Del Forno
- Department of Medical and Surgical Sciences (Drs. A. Arena, Del Forno, and Seracchioli), DIMEC, Sant'Orsola Hospital, Università di Bologna, Bologna, Italy
| | - Agnese Donati
- Department of Obstetrics and Gynecology (Drs. Berlanda and Donati), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy
| | - Caterina Exacoustos
- Department of Territory Health (Dr. Andersson, Exacoustos), Azienda Sanitaria Toscana Centro, Florence, Italy; Department of Surgical Sciences, Gynecologic Unit (Drs. Exacoustos, and Martire), University of Rome "Tor Vergata" Rome, Italy
| | - Eliana Fuggetta
- Department of Obstetrics and Gynecology (Drs. Fuggetta and Maneschi), San Giovanni Addolorata Hospital (Drs. Labanca and Martire), Roma, Italy
| | - Luca Labanca
- Department of Surgical Sciences (Drs. Labanca), Valdarno Hospital, Azienda Toscana Sud Est, Italy
| | - Antonio Maiorana
- Department of Obstetrics and Gynecology (Dr. Maiorana), ARNAS Ospedale Civico Piazza Nicola, Palermo, Italy
| | - Francesco Maneschi
- Department of Obstetrics and Gynecology (Drs. Fuggetta and Maneschi), San Giovanni Addolorata Hospital (Drs. Labanca and Martire), Roma, Italy
| | - Alberto Mattei
- Department of Molecular and Developmental Medicine (Drs. Lazzeri, Centini, Martire, and Zupi), Università di Siena, Siena, Italy; Department of Surgical Sciences, Gynecologic Unit (Drs. Exacoustos, and Martire), University of Rome "Tor Vergata" Rome, Italy
| | - Ludovico Muzii
- Department of Maternal and Child Health and Urology (Drs. Muzii, Porpora, and Scaramuzzino), Università di Roma La Sapienza, Policlinico Umberto I, Rome, Italy
| | - Jessica Ottolina
- Department of Obstetrics and Gynecology (Drs. Bartiromo, Candiani, Ottolina, and Schimberni), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessio Perandini
- Azienda Ospedaliera Universitaria Integrata (Drs. Bonin and Perandini), Università di Verona, Piazzale A. Stefani 1, Verona, Italy
| | - Federica Perelli
- Division of Gynecology and Obstetrics (Drs. Mattei and Perelli), Santa Maria Annunziata Hospital, USL Toscana Centro, Florence, Italy
| | - Ida Pino
- Preventive Gynecology Unit (Dr. Pino), European Institute of Oncology IRCCS, Milan, Italy
| | - Maria Grazia Porpora
- Department of Maternal and Child Health and Urology (Drs. Muzii, Porpora, and Scaramuzzino), Università di Roma La Sapienza, Policlinico Umberto I, Rome, Italy
| | - Valentino Remorgida
- Unit of Obstetrics and Gynecology (Dr. Remorgida), University of Eastern Piedmont, Novara, Italy
| | - Sara Scaramuzzino
- Department of Maternal and Child Health and Urology (Drs. Muzii, Porpora, and Scaramuzzino), Università di Roma La Sapienza, Policlinico Umberto I, Rome, Italy
| | - Matteo Schimberni
- Department of Obstetrics and Gynecology (Drs. Bartiromo, Candiani, Ottolina, and Schimberni), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Renato Seracchioli
- Department of Medical and Surgical Sciences (Drs. A. Arena, Del Forno, and Seracchioli), DIMEC, Sant'Orsola Hospital, Università di Bologna, Bologna, Italy; Division of Gynecology and Human Reproduction Phisiopatology (Dr. Seracchioli), IRCCS, Azienda Ospedaliera Universitaria di Bologna, Bologna Italy
| | - Eugenio Solima
- Department of Obstetrics and Gynecology (Drs. Solima and Vignali), Macedonio Melloni Hospital, Milan, Italy
| | - Michele Vignali
- Department of Obstetrics and Gynecology (Drs. Solima and Vignali), Macedonio Melloni Hospital, Milan, Italy
| | - Errico Zupi
- Department of Molecular and Developmental Medicine (Drs. Lazzeri, Centini, Martire, and Zupi), Università di Siena, Siena, Italy.
| | - Francesco Giuseppe Martire
- Division of Gynecology and Obstetrics (Drs. Mattei and Perelli), Santa Maria Annunziata Hospital, USL Toscana Centro, Florence, Italy
| |
Collapse
|
8
|
Ladke P, Mitra K, Dhok A, Ansari A, Dalvi V. Magnetic Resonance Imaging in the Diagnosis of Female Adnexal Masses: Comparison With Histopathological Examination. Cureus 2023; 15:e42392. [PMID: 37621820 PMCID: PMC10446504 DOI: 10.7759/cureus.42392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2023] [Indexed: 08/26/2023] Open
Abstract
Introduction Adnexal masses present a special diagnostic challenge because it is difficult to differentiate between benign and malignant lesions clinically. The diagnosis of malignancy is vital, and imaging is the most important part of the evaluation of adnexal masses. This study was conducted with the goal of comparing the accuracy of magnetic resonance imaging (MRI) in diagnosing female adnexal masses in comparison with histopathology examination (HPE). A total of 70 female patients with suspected adnexal lesions were selected for the study. After obtaining informed consent from the patients, an MRI was performed with a subsequent histopathological examination of the lesion. Results The study revealed that MRI demonstrated 27% non-neoplastic, 47% benign, and 26% malignant lesions. HPE, the gold standard for identifying and classifying pathological masses, positively identified the lesions and classified them as non-neoplastic, surface epithelial-stromal, germ cell, and sex cord-stromal tumors. The present study of 70 cases with adnexal masses showed a strong positive correlation between MRI and HPE findings. Conclusion MRI provides the added advantage of visualization of the tumor matrix with differential identification of the fatty and cystic tissue through heterogeneous signals and enhancement indicating aggressiveness and local spread. MRI has greater diagnostic accuracy when compared to ultrasonography (USG), with HPE as the gold standard for discriminating between benign and malignant adnexal masses.
Collapse
Affiliation(s)
- Pooja Ladke
- Radiodiagnosis, N. K. P. Salve Institute of Medical Sciences and Research Centre (NKPSIMS) and Lata Mangeshkar Hospital (LMH), Nagpur, IND
| | - Kajal Mitra
- Radiodiagnosis, N. K. P. Salve Institute of Medical Sciences and Research Centre (NKPSIMS) and Lata Mangeshkar Hospital (LMH), Nagpur, IND
| | - Avinash Dhok
- Radiodiagnosis, N. K. P. Salve Institute of Medical Sciences and Research Centre (NKPSIMS) and Lata Mangeshkar Hospital (LMH), Nagpur, IND
| | - Ameen Ansari
- Radiodiagnosis, N. K. P. Salve Institute of Medical Sciences and Research Centre (NKPSIMS) and Lata Mangeshkar Hospital (LMH), Nagpur, IND
| | - Vrushali Dalvi
- Radiodiagnosis, N. K. P. Salve Institute of Medical Sciences and Research Centre (NKPSIMS) and Lata Mangeshkar Hospital (LMH), Nagpur, IND
| |
Collapse
|
9
|
Jan YT, Tsai PS, Huang WH, Chou LY, Huang SC, Wang JZ, Lu PH, Lin DC, Yen CS, Teng JP, Mok GSP, Shih CT, Wu TH. Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors. Insights Imaging 2023; 14:68. [PMID: 37093321 PMCID: PMC10126170 DOI: 10.1186/s13244-023-01412-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 03/20/2023] [Indexed: 04/25/2023] Open
Abstract
BACKGROUND To develop an artificial intelligence (AI) model with radiomics and deep learning (DL) features extracted from CT images to distinguish benign from malignant ovarian tumors. METHODS We enrolled 149 patients with pathologically confirmed ovarian tumors. A total of 185 tumors were included and divided into training and testing sets in a 7:3 ratio. All tumors were manually segmented from preoperative contrast-enhanced CT images. CT image features were extracted using radiomics and DL. Five models with different combinations of feature sets were built. Benign and malignant tumors were classified using machine learning (ML) classifiers. The model performance was compared with five radiologists on the testing set. RESULTS Among the five models, the best performing model is the ensemble model with a combination of radiomics, DL, and clinical feature sets. The model achieved an accuracy of 82%, specificity of 89% and sensitivity of 68%. Compared with junior radiologists averaged results, the model had a higher accuracy (82% vs 66%) and specificity (89% vs 65%) with comparable sensitivity (68% vs 67%). With the assistance of the model, the junior radiologists achieved a higher average accuracy (81% vs 66%), specificity (80% vs 65%), and sensitivity (82% vs 67%), approaching to the performance of senior radiologists. CONCLUSIONS We developed a CT-based AI model that can differentiate benign and malignant ovarian tumors with high accuracy and specificity. This model significantly improved the performance of less-experienced radiologists in ovarian tumor assessment, and may potentially guide gynecologists to provide better therapeutic strategies for these patients.
Collapse
Affiliation(s)
- Ya-Ting Jan
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing and Management, New Taipei City, Taiwan
| | - Pei-Shan Tsai
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing and Management, New Taipei City, Taiwan
| | - Wen-Hui Huang
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing and Management, New Taipei City, Taiwan
| | - Ling-Ying Chou
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing and Management, New Taipei City, Taiwan
| | - Shih-Chieh Huang
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing and Management, New Taipei City, Taiwan
| | - Jing-Zhe Wang
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing and Management, New Taipei City, Taiwan
| | - Pei-Hsuan Lu
- Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- MacKay Junior College of Medicine, Nursing and Management, New Taipei City, Taiwan
| | - Dao-Chen Lin
- Division of Endocrine and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chun-Sheng Yen
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Ju-Ping Teng
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Greta S P Mok
- Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China
| | - Cheng-Ting Shih
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, 404, Taiwan.
| | - Tung-Hsin Wu
- Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan.
| |
Collapse
|
10
|
Phillips CH, Guo Y, Strachowski LM, Jha P, Reinhold C, Andreotti RF. The Ovarian/Adnexal Reporting and Data System for Ultrasound: From Standardized Terminology to Optimal Risk Assessment and Management. Can Assoc Radiol J 2023; 74:44-57. [PMID: 35831958 DOI: 10.1177/08465371221108057] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) lexicon and risk assessment tool for ultrasound (US) provides a framework for characterization of ovarian and adnexal pathology with the ultimate goal of harmonizing reporting and patient management strategies. Since the first O-RADS US publication in 2018, multiple validation studies have shown O-RADS US to have excellent diagnostic accuracy, with the majority of these studies using O-RADS 4 as the optimal cut-off for detecting ovarian cancer. Most of the existing validation studies include a dedicated training phase and confirm that ORADS US categories and lexicon descriptors are associated with high level inter-read agreement, regardless of radiologist training level or practice experience. O-RADS US has a similar inter-reader agreement when compared to Gynecologic Imaging Reporting and Data System (GIRADS), Assessment of Different Neoplasias in the adnexa (ADNEX), and International Tumor Analysis Group (IOTA) simple rules. System descriptors have been shown to correlate with expected malignancy rates and the O-RADS US risk stratification system has been shown to perform in the expected range of malignancy risk per category. Further directions will focus on clarifying governing concepts and lexicon terminology as well as further refining risk stratification categories based on data from published validation studies.
Collapse
Affiliation(s)
- Catherine H Phillips
- Department of Radiology and Radiological Sciences, 612495Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yang Guo
- Department of Radiology, 381760Brigham and Women's Hospital, Boston, MA, USA
| | - Loretta M Strachowski
- Department of Radiology and Biomedical Imaging, Department of Obstetrics, Gynecology, and Reproductive Sciences, 192653University of California, San Francisco, CA, USA
| | - Priyanka Jha
- Department of Radiology and Biomedical Imaging, 192653University of California, San Francisco, CA, USA
| | - Caroline Reinhold
- Department of Radiology, McGill University Health Centre, 54473McGill University, Montreal, QC, Canada.,Co-Director, Augmented Intelligence Precision Health Laboratory, Research Institute of the McGill University Health Center, Montreal, Canada.,Montreal Imaging Experts Inc., Montreal, Canada
| | - Rochelle F Andreotti
- Department of Radiology and Radiological Sciences, Department of Obstetrics and Gynecology, 612495Vanderbilt University Medical Center, Nashville, TN, USA
| |
Collapse
|
11
|
O-RADS MRI After Initial Ultrasound for Adnexal Lesions: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2023; 220:6-15. [PMID: 35975887 DOI: 10.2214/ajr.22.28084] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) and MRI risk stratification systems were developed by an international group of experts in adnexal imaging to aid radiologists in assessing adnexal lesions. The goal of imaging is to appropriately triage patients with adnexal lesions. US is the first-line imaging modality for assessment, whereas MRI can be used as a problem-solving tool. Both US and MRI can accurately characterize benign lesions such as simple cysts, endometriomas, hemorrhagic cysts, and dermoid cysts, avoiding unnecessary or inappropriate surgery. In patients with a lesion that does not meet criteria for one of these benign diagnoses, MRI can further characterize the lesion with an improved specificity for cancer and the ability to provide a probable histologic subtype in the presence of certain MRI features. This allows personalized treatment, including avoiding overly extensive surgery or allowing fertility-sparing procedures for suspected benign, borderline, or low-grade tumors. When MRI findings indicate a risk of an invasive cancer, patients can be expeditiously referred to a gynecologic oncologic surgeon. This narrative review provides expert opinion on the utility of multiparametric MRI when using the O-RADS US and MRI management systems.
Collapse
|
12
|
Surgical outcomes of adnexal masses classified by IOTA ultrasound simple rules. Sci Rep 2022; 12:21848. [PMID: 36528698 PMCID: PMC9759574 DOI: 10.1038/s41598-022-26441-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
IOTA (International Ovarian Tumor Analysis) Simple Rules classifies adnexal masses as benign, malignant, or indeterminate based on sonographic features. We seek to determine if IOTA inappropriately directed women to surgery, or more aggressive surgery, than their final diagnosis warranted. This is a retrospective study of sonographically detected adnexal masses with known clinical outcomes from two institutions (n = 528). Surgically managed patients (n = 172) were categorized based on pathology and compared using Chi-square and t-test for categorical and continuous variables respectively. A logistic regression was used to predict characteristics that predicted surgery or imaging follow up of indeterminate masses. Of the 528 masses imaged, 29% (n = 155) underwent surgery for benign pathology. Only 1.9% (n = 10) underwent surgery after classification as malignant by IOTA for what was ultimately a benign mass. Surgical complications occurred in 10 cases (5.8%), all benign. Fifteen (3.2%) patients went into surgically induced menopause for benign masses, one of which was inaccurately classified by IOTA as malignant. Of the 41 IOTA indeterminate masses, the presence of soft tissue nodules on ultrasound was the only statistically significant predictor of the patient being triaged directly to surgery (OR 1.79, p = 0.04). Our findings support that the IOTA ultrasound classification system can provide clinical guidance without incurring unnecessary surgeries or surgical complications.
Collapse
|
13
|
Bang JI, Kim JY, Choi MC, Lee HY, Jang SJ. Application of Multimodal Imaging Biomarker in the Differential Diagnosis of Ovarian Mass: Integration of Conventional and Molecular Imaging. Clin Nucl Med 2022; 47:117-122. [PMID: 35006105 DOI: 10.1097/rlu.0000000000004008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE The aim is to investigate the diagnostic performance of multimodal imaging with 18F-FDG PET/CT, MRI, and contrast-enhanced CT (CECT) in cases with unilateral or bilateral ovarian mass without ancillary findings of malignancy. METHODS Retrospectively, 307 patients who had unilateral or bilateral ovarian masses and underwent preoperative FDG PET/CT and/or MRI/CECT were included. The criterion standard for the ovarian mass was the final pathology. The peak standardized uptake value (SULpeak) among benign tumors (BTs), borderline ovarian tumors (BoTs), and malignant ovarian tumors (MTs) were compared. The cutoff value of SULpeak to discriminate between BT/BoT and MT was determined from the training (n = 200) and validation (n = 131) cohorts. Diagnostic performances of SULpeak, Ovarian-Adnexal Reporting Data System (O-RADS) MRI score, CECT findings, and combination of multimodal imagings were analyzed. RESULTS SULpeak of MT was significantly higher than that of BT or BoT (P < 0.05). There was no significant difference in SULpeak between BT and BoT (P = 0.147). The cutoff value of SULpeak for discriminating between BT/BoT and MT was 1.76 (sensitivity, 87.0%; specificity, 83.0%). Diagnostic performance for BT/BoT versus MT of O-RADS MRI, CECT, FDG PET/CT plus O-RADS MRI score, and FDG PET/CT plus CECT yielded the respective sensitivities of 100%, 94%, 95%, and 82%, and specificities of 43%, 46%, 88%, and 91%, respectively. CONCLUSIONS Multimodal imaging biomarkers including FDG PET/CT and MR/CECT could provide additional information to differentiate ovarian masses.
Collapse
Affiliation(s)
- Ji-In Bang
- From the Department of Nuclear Medicine, CHA Bundang Medical Center, CHA University
| | - Ji-Young Kim
- Radiation Health Research Institute of Korea Hydro & Nuclear Power Co, Ltd
| | - Min Chul Choi
- Comprehensive Gynecologic Cancer Center, CHA Bundang Medical Center, CHA University
| | - Ho-Young Lee
- Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam, Gyeonggi-do, South Korea
| | - Su Jin Jang
- From the Department of Nuclear Medicine, CHA Bundang Medical Center, CHA University
| |
Collapse
|
14
|
Xiao F, Zhang L, Yang S, Peng K, Hua T, Tang G. Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors. J Ovarian Res 2022; 15:13. [PMID: 35062992 PMCID: PMC8783416 DOI: 10.1186/s13048-021-00920-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/06/2021] [Indexed: 12/12/2022] Open
Abstract
Objective This study aims to investigate the value of the quantitative indicators of MRI in the differential diagnoses of benign, borderline, and malignant epithelial ovarian tumors (EOTs). Materials and methods The study population comprised 477 women with 513 masses who underwent MRI and operation, including benign EOTs (BeEOTs), borderline EOTs (BEOTs), and malignant EOTs (MEOTs). The clinical information and MRI findings of the three groups were compared. Then, multivariate logistic regression analysis was performed to find the independent diagnostic factors. The receiver operating characteristic (ROC) curves were also used to evaluate the diagnostic performance of the quantitative indicators of MRI and clinical information in differentiating BeEOTs from BEOTs or differentiating BEOTs from MEOTs. Results The MEOTs likely involved postmenopausal women and showed higher CA-125, HE4 levels, ROMA indices, peritoneal carcinomatosis and bilateral involvement than BeEOTs and BEOTs. Compared with BEOTs, BeEOTs and MEOTs appeared to be more frequently oligocystic (P < 0.001). BeEOTs were more likely to show mild enhancement (P < 0.001) and less ascites (P = 0.003) than BEOTs and MEOTs. In the quantitative indicators of MRI, BeEOTs usually showed thin-walled cysts and no solid component. BEOTs displayed irregular thickened wall and less solid portion. MEOTs were more frequently characterized as solid or predominantly solid mass (P < 0.001) than BeEOTs and BEOTs. The multivariate logistic regression analysis showed that volume of the solid portion (P = 0.006), maximum diameter of the solid portion (P = 0.038), enhancement degrees (P < 0.001), and peritoneal carcinomatosis (P = 0.011) were significant indicators for the differential diagnosis of the three groups. The area under the curves (AUCs) of above indicators and combination of four image features except peritoneal carcinomatosis for the differential diagnosis of BeEOTs and BEOTs, BEOTs and MEOTs ranged from 0.74 to 0.85, 0.58 to 0.79, respectively. Conclusion In this study, the characteristics of MRI can provide objective quantitative indicators for the accurate imaging diagnosis of three categories of EOTs and are helpful for clinical decision-making. Among these MRI characteristics, the volume, diameter, and enhancement degrees of the solid portion showed good diagnostic performance.
Collapse
|
15
|
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
|
16
|
Florin M, Vaussy A, Macron L, Bazot M, Stemmer A, Pinar U, Jarboui L. Evaluation of Iterative Denoising 3-Dimensional T2-Weighted Turbo Spin Echo for the Diagnosis of Deep Infiltrating Endometriosis. Invest Radiol 2021; 56:637-644. [PMID: 33813570 DOI: 10.1097/rli.0000000000000786] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES The primary end point of this study was to evaluate the image quality and reliability of a highly accelerated 3-dimensional T2 turbo spin echo (3D-T2-TSE) sequence with prototype iterative denoising (ID) reconstruction compared with conventional 2D T2 sequences for the diagnosis of deep infiltrating endometriosis (DIE). The secondary end point was to demonstrate the 3D-T2-TSE sequence image quality improvement using ID reconstruction. MATERIAL AND METHODS Patients were prospectively enrolled to our institution for pelvis magnetic resonance imaging because of a suspicion of endometriosis over a 4-month period. Both conventional 2D-T2 (sagittal, axial, coronal T2 oblique to the cervix) and 3D-T2-TSE sequences were performed with a scan time of 7 minutes 43 seconds and 4 minutes 58 seconds, respectively. Reconstructions with prototype ID (3D-T2-denoised) and without prototype ID (3D-T2) were generated inline at the end of the acquisition. Two radiologists independently evaluated the image quality of 3D-T2, 3D-T2-denoised, and 2D-T2 sequences. Diagnosis confidence of DIE was evaluated for both 3D-T2-denoised and 2D-T2 sequences. Intraobserver and interobserver agreements were calculated using Cohen κ coefficient. RESULTS Ninety female patients were included. Both readers found that the ID algorithm significantly improved the image quality and decreased the artifacts of 3D-T2-denoised compared with 3D-T2 sequences (P < 0.001). A significant image quality improvement was found by 1 radiologist for 3D-T2-denoised compared with 2D-T2 sequences (P = 0.002), whereas the other reader evidenced no significant difference. The interobserver agreement of 3D-T2-denoised and 2D-T2 sequences was 0.84 (0.73-0.95) and 0.78 (0.65-0.9), respectively, for the diagnosis of DIE. Intraobserver agreement for readers 1 and 2 was 0.86 (0.79-1) and 0.83 (0.76-1), respectively. For all localization of DIE, interobserver and intraobserver agreements were either almost perfect or substantial for both 3D-T2-denoised and 2D-T2 sequences. CONCLUSIONS Three-dimensional T2-denoised imaging is a promising tool to replace conventional 2D-T2 sequences, offering a significant scan time reduction without compromising image quality or diagnosis information for the assessment of DIE.
Collapse
Affiliation(s)
- Marie Florin
- From the Centre imagerie du Nord, Clinique du Landy, radiology departement, Ramsay-Générale de Santé, Saint-Ouen, France
| | | | - Laurent Macron
- From the Centre imagerie du Nord, Clinique du Landy, radiology departement, Ramsay-Générale de Santé, Saint-Ouen, France
| | - Marc Bazot
- Department of Radiology, Hôpital Tenon, Paris, France
| | | | - Ugo Pinar
- Sorbonne University, APHP, Hôpital la Pitié-Salpêtrière, Urology and renal transplantation department, Paris, France
| | - Lamia Jarboui
- From the Centre imagerie du Nord, Clinique du Landy, radiology departement, Ramsay-Générale de Santé, Saint-Ouen, France
| |
Collapse
|
17
|
Friedrich L, Meyer R, Levin G. Management of adnexal mass: A comparison of five national guidelines. Eur J Obstet Gynecol Reprod Biol 2021; 265:80-89. [PMID: 34474226 DOI: 10.1016/j.ejogrb.2021.08.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 07/18/2021] [Accepted: 08/22/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVES General gynecologists are often the first to face a newly diagnosed adnexal mass. Bothering mass symptoms, fertility issues, and the effect of a possible surgical intervention on fertility in term of mechanical factor and ovarian follicular reserve are all considerations that should be accounted for. This study summarizes and compares five different adnexal mass management guidelines, enabling clinicians to peruse consensus and controversy issues, thus choosing the optimal management method. DESIGN We retrieved, reviewed and compared the most recent national guidelines of adnexal mass management from the national societies of the United States (American College of Obstetricians and Gynecologists), England (the Royal College of Obstetricians and Gynecologists), Canada (the Society of Obstetricians and Gynaecologists of Canada), Australia (the Royal Australian College of General Practitioners), and France (French College of Gynaecologists and Obstetricians). RESULTS There is a broad consensus regarding the role of transvaginal ultrasound as part of the initial evaluation of an adnexal mass and the radiological characteristics suggesting it being malignant. The role of transabdominal ultrasound or doppler mode is controversial. The use of MRI in cases of indeterminate adnexal masses is widely accepted. Ultrasound-guided aspiration is generally not recommended. There is a broad consensus that CA-125 should not be used as an ovarian cancer disease screening tool, though its role in the initial evaluation of adnexal masses is controversial. Risk prediction models are generally accepted, particularly the 'International Ovarian Tumor Analysis simple rules' and the 'Risk of Malignancy Index'. CONCLUSION Adnexal mass management national guidelines, though similar, had noticeable variations in the content, references cited, and recommendations made. While this variation might raise a concern as to the reproducibility of synthesizing literature, it can help practitioners present all spectra of recommendations and available data.
Collapse
Affiliation(s)
- Lior Friedrich
- The Joyce & Irving Goldman Medical School, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
| | - Raanan Meyer
- The Department of Obstetrics and Gynecology, the Chaim Sheba Medical Center, Ramat-Gan, Israel; The Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Gabriel Levin
- The Department of Obstetrics and Gynecology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; The Faculty of Medicine, Hebrew University, Jerusalem, Israel
| |
Collapse
|
18
|
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
|
19
|
Thomassin-Naggara I, Sadowski E, Rockall A, Reinhold C. Correspondence on "ESGO/ISUOG/IOTA/ESGE consensus statement on pre-operative diagnosis of ovarian tumors" by Timmerman et al. Int J Gynecol Cancer 2021; 31:1394-1395. [PMID: 34417255 DOI: 10.1136/ijgc-2021-002910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/12/2021] [Indexed: 11/03/2022] Open
Affiliation(s)
| | - Elizabeth Sadowski
- Department of Radiology and Obstetrics and Gynecology, Madison, Wisconsin, USA
| | - Andrea Rockall
- Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, UK.,Department of Radiology, Imperial College Healthcare NHS Trust, London, UK
| | - Caroline Reinhold
- Department of Radiology, Augmented Intelligence & Precision Health Laboratory of the Research Institute of McGill University Health Centre, Montreal, Québec, Canada
| |
Collapse
|
20
|
Salvador S, Scott S, Glanc P, Eiriksson L, Jang JH, Sebastianelli A, Dean E. Guideline No. 403: Initial Investigation and Management of Adnexal Masses. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2021; 42:1021-1029.e3. [PMID: 32736853 DOI: 10.1016/j.jogc.2019.08.044] [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: 08/26/2019] [Accepted: 08/30/2019] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To aid primary care physicians, emergency medicine physicians, and gynaecologists in the initial investigation of adnexal masses, defined as lumps that appear near the uterus or in or around ovaries, fallopian tubes, or surrounding connective tissue, and to outline recommendations for identifying women who would benefit from a referral to a gynaecologic oncologist for further management. INTENDED USERS Gynaecologists, obstetricians, family physicians, general surgeons, emergency medicine specialists, radiologists, sonographers, nurses, medical learners, residents, and fellows. TARGET POPULATION Adult women 18 years of age and older presenting for the evaluation of an adnexal mass. OPTIONS Women with adnexal masses should be assessed for personal risk factors, history, and physical findings. Initial evaluation should also include imaging and laboratory testing to triage women for management of their care either by a gynaecologic oncologist or as per SOGC guideline no. 404 on the initial investigation and management of benign ovarian masses. EVIDENCE A search of PubMed, Cochrane Wiley, and the Cochrane systematic reviews was conducted in January 2018 for English-language materials involving human subjects published since 2000 using three sets of terms: (i) ovarian cancer, ovarian carcinoma, adnexal disease, ovarian neoplasm, adnexal mass, fallopian tube disease, fallopian tube neoplasm, ovarian cyst, and ovarian tumour; (ii) the above terms in combination with predict neoplasm staging, follow-up, and staging; and (iii) the above two sets of terms in combination with ultrasound, tumour marker, CA 125, CEA, CA19-9, HE4, multivariable-index-assay, risk-of-ovarian-malignancy-algorithm, risk-of-malignancy-index, diagnostic imaging, CT, MRI, and PET. Relevant evidence was selected for inclusion in descending order of quality of evidence as follows: meta-analyses, systematic reviews, guidelines, randomized controlled trials, prospective cohort studies, observational studies, non-systematic reviews, case series, and reports. Additional articles were identified through cross-referencing the identified reviews. The total number of studies identified was 2350, with 59 being included in this review. VALIDATION METHODS The content and recommendations were drafted and agreed upon by the authors. The Executive and Board of the Society of Gynecologic Oncology of Canada reviewed the content and submitted comments for consideration. The Board of Directors of the Society of Obstetricians and Gynaecologists of Canada approved the final draft for publication. The quality of evidence was rated using the criteria described in the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology framework (Table A1 of Online Appendix A). See Table A2 of Online Appendix A for the interpretation of strong and weak recommendations. The summary of findings is available upon request. BENEFITS, HARMS, COSTS Adnexal masses are common, and guidelines on how to triage them and manage the care of patients presenting with adnexal masses will continue to guide the practice of primary care providers and gynaecologists. Ovarian cancer outcomes are improved when initial surgery is performed by a gynaecologic oncologist, likely as a result of complete surgical staging and optimal cytoreduction. Given these superior outcomes, guidelines to assist in the triage of adnexal masses and the referral and management of the care of patients with an adnexal mass are critical. SUMMARY STATEMENTS (GRADE RATINGS IN PARENTHESES) RECOMMENDATIONS (GRADE RATINGS IN PARENTHESES).
Collapse
|
21
|
Abdel Wahab C, Rousset P, Milon A, Bazot M, Thomassin-Naggara I. Recommandations pour l’imagerie des tumeurs frontières de l’ovaire. IMAGERIE DE LA FEMME 2021. [DOI: 10.1016/j.femme.2021.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
22
|
Sadowski EA, Maturen KE, Rockall A, Reinhold C, Addley H, Jha P, Bharwani N, Thomassin-Naggara I. Ovary: MRI characterisation and O-RADS MRI. Br J Radiol 2021; 94:20210157. [PMID: 33929901 DOI: 10.1259/bjr.20210157] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Ultrasound has a high specificity for the diagnosis of a benign lesion in cases of classic appearing simple cyst, hemorrhagic cyst, endometrioma and dermoid. However, ultrasound can sometimes be limited for definitive characterisation and risk stratification of other types of lesions, including those with echogenic content that may appear solid, with or without blood flow. Frequently, MRI can be used to further characterise these types of lesions, due to its ability to distinguish solid tissue from non-tissue solid components such as fat, blood, or debris. Incorporating the MR imaging into the evaluation of adnexal lesions can improve diagnostic certainty and guide clinical management potentially avoiding inappropriate surgery for benign lesions and expediting appropriate treatment for malignant lesions, particularly in the females with sonographically indeterminate adnexal lesions.
Collapse
Affiliation(s)
- Elizabeth A Sadowski
- Departments of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Katherine E Maturen
- Department of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
| | - Andrea Rockall
- Division of Surgery and Cancer, Imperial College London, London, UK
| | - Caroline Reinhold
- McGill University Health Center, McGill University, Montreal, Canada
| | - Helen Addley
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Priyanka Jha
- Department of Radiology, University of California San Francisco, San francisco, CA, USA
| | - Nishat Bharwani
- Department of Radiology, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, UK
| | | |
Collapse
|
23
|
Montoriol PF, Hordonneau C, Boudinaud C, Molnar I, Abrial C, Kossai M. Benign Brenner tumour of the ovary: CT and MRI features. Clin Radiol 2021; 76:593-598. [PMID: 33933275 DOI: 10.1016/j.crad.2021.03.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 03/24/2021] [Indexed: 11/18/2022]
Abstract
AIM To evaluate the computed tomography (CT) and magnetic resonance imaging (MRI) features of benign Brenner tumours (BBT) of the ovary. MATERIAL AND METHODS This was a retrospective two-centre study comprising 35 female patients with a definitive diagnosis of BBT at histology in whom CT and/or MRI examinations had been performed. Two experienced radiologists reviewed the CT and MRI features of 39 ovarian BBT retrospectively with consensus reading. The morphological appearance and size of each tumour were recorded. The presence or absence of calcifications within the solid portion was noted at CT. The reviewed characteristics at MRI included qualitative assessment of the signal intensity of the solid portion on diffusion sequence and contrast enhancement, compared to that of the myometrium. RESULTS CT and MRI images were available for 27 and 28 lesions, respectively. Sixteen patients had both CT and MRI examinations. BBT were unilateral in 89% of patients, and 49% of lesions were solid and 51% were mixed. Calcifications were depicted at CT in 70.4% of lesions. When present, the cystic portion was multilocular in 85% of cases and corresponded to a mucinous lesion in 74% of cases. Enhancement of the solid portion at MRI was inferior or equal to that of the myometrium in 89% of cases and signal on high b-values diffusion images was deemed low or moderate in 93% of cases. CONCLUSION The combined CT and MRI findings of a unilateral fibrous ovarian mass containing punctate calcifications often associated with a multilocular cyst suggest the diagnosis of ovarian BBT.
Collapse
Affiliation(s)
- P-F Montoriol
- Radiologie, Centre Jean PERRIN, 58 Rue Montalembert, 63000 Clermont-Ferrand, France.
| | - C Hordonneau
- Radiologie et Imagerie Médicale, Hôpital ESTAING, Place Lucie et Raymond Aubrac, 63000 Clermont-Ferrand, France
| | - C Boudinaud
- Radiologie, Centre Jean PERRIN, 58 Rue Montalembert, 63000 Clermont-Ferrand, France
| | - I Molnar
- Division de Recherche Clinique, Centre Jean PERRIN, 58 rue Montalembert, 63000 Clermont-Ferrand, France
| | - C Abrial
- Division de Recherche Clinique, Centre Jean PERRIN, 58 rue Montalembert, 63000 Clermont-Ferrand, France
| | - M Kossai
- Anatomie Pathologique, Centre Jean PERRIN, 58 rue Montalembert, 63000 Clermont-Ferrand, France
| |
Collapse
|
24
|
Computer Tomography in the Diagnosis of Ovarian Cysts: The Role of Fluid Attenuation Values. Healthcare (Basel) 2020; 8:healthcare8040398. [PMID: 33066370 PMCID: PMC7711840 DOI: 10.3390/healthcare8040398] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 09/25/2020] [Accepted: 10/12/2020] [Indexed: 11/18/2022] Open
Abstract
Pathological analysis of ovarian cysts shows specific fluid characteristics that cannot be standardly evaluated on computer tomography (CT) examinations. This study aimed to assess the ovarian cysts’ fluid attenuation values on the native (Np), arterial (Ap), and venous (Vp) contrast phases of seventy patients with ovarian cysts who underwent CT examinations and were retrospectively included in this study. Patients were divided according to their final diagnosis into the benign group (n = 32) and malignant group (n = 38; of which 27 were primary and 11 were secondary lesions). Two radiologists measured the fluid attenuation values on each contrast phase, and the average values were used to discriminate between benign and malignant groups and primary tumors and metastases via univariate, multivariate, multiple regression, and receiver operating characteristics analyses. The Ap densities (p = 0.0002) were independently associated with malignant cysts. Based on the densities measured on all three phases, neoplastic lesions could be diagnosed with 89.47% sensitivity and 62.5% specificity. The Np densities (p = 0.0005) were able to identify metastases with 90.91% sensitivity and 70.37% specificity, while the combined densities of all three phases diagnosed secondary lesions with 72.73% sensitivity and 92.59% specificity. The ovarian cysts’ fluid densities could function as an adjuvant criterion to the classic CT evaluation of ovarian cysts.
Collapse
|
25
|
Diagnostic value of [ 18F]FDG PET/MRI for staging in patients with ovarian cancer. EJNMMI Res 2020; 10:117. [PMID: 33006685 PMCID: PMC7532239 DOI: 10.1186/s13550-020-00712-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 09/24/2020] [Indexed: 12/20/2022] Open
Abstract
Purpose To evaluate the diagnostic potential of PET/MRI with 2-[18F]fluoro-2-deoxy-d-glucose ([18F]FDG) in ovarian cancer. Materials and methods Participants comprised 103 patients with suspected ovarian cancer underwent pretreatment [18F]FDG PET/MRI, contrast-enhanced CT (ceCT) and pelvic dynamic contrast-enhanced MRI (ceMRI). Diagnostic performance of [18F]FDG PET/MRI and ceMRI for assessing the characterization and the extent of the primary tumor (T stage) and [18F]FDG PET/MRI and ceCT for assessing nodal (N stage) and distant (M stage) metastases was evaluated by two experienced readers. Histopathological and follow-up imaging results were used as the gold standard. The McNemar test was employed for statistical analysis. Results Accuracy for the characterization of suspected ovarian cancer was significantly better for [18F]FDG PET/MRI (92.5%) [95% confidence interval (CI) 0.84–0.95] than for ceMRI (80.6%) (95% CI 0.72–0.83) (p < 0.05). Accuracy for T status was 96.4% (95% CI 0.96–0.96) and 92.9% (95% CI 0.93–0.93) for [18F]FDG PET/MRI and ceMRI/ceCT, respectively. Patient-based accuracies for N and M status were 100% (95% CI 0.88–1.00) and 100% (95% CI 0.88–1.00) for [18F]FDG PET/MRI and 85.2% (95% CI 0.76–0.85) and 30.8% (95% CI 0.19–0.31) for ceCT and M staging representing significant differences (p < 0.01). Lesion-based sensitivity, specificity and accuracy for N status were 78.6% (95% CI 0.57–0.91), 95.7% (95% CI 0.93–0.97) and 93.9% (95% CI 0.89–0.97) for [18F]FDG PET/MRI and 42.9% (95% CI 0.24–0.58), 96.6% (95% CI 0.94–0.98) and 90.8% (95% CI 0.87–0.94) for ceCT. Conclusions [18F]FDG PET/MRI offers better sensitivity and specificity for the characterization and M staging than ceMRI and ceCT, and diagnostic value for T and N staging equivalent to ceMRI and ceCT, suggesting that [18F]FDG PET/MRI might represent a useful diagnostic alternative to conventional imaging modalities in ovarian cancer.
Collapse
|
26
|
Yu XP, Liu Y, Jiao JW, Yang HJ, Wang RJ, Zhang S. Evaluation of Ovarian Tumors with Multidetector Computed Tomography and Tumor Markers: Differentiation of Stage I Serous Borderline Tumors and Stage I Serous Malignant Tumors Presenting as Solid-Cystic Mass. Med Sci Monit 2020; 26:e924497. [PMID: 32801292 PMCID: PMC7450786 DOI: 10.12659/msm.924497] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background The aim of this study was to determine multidetector computed tomography (MDCT) features and tumor markers for differentiating stage I serous borderline ovarian tumors (SBOTs) from stage I serous malignant ovarian tumors (SMOTs). Material/Methods In total, 48 patients with stage I SBOTs and 54 patients with stage I SMOTs who underwent MDCT and tumor markers analysis were analyzed. MDCT features included location, shape, margins, texture, papillary projections, vascular abnormalities, size, and attenuation value. Tumor markers included serum cancer antigen 125 (CA125), carbohydrate antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA), and human epididymis protein 4 (HE4). Parameters of clinical characteristic, MDCT features, and tumor markers were compared using a chi-square test and Mann-Whitney U tests. A binary logistic regression analysis was performed to detect predictors for SMOTs. A receiver operating characteristic (ROC) curve analysis was used to assess the potential diagnostic value of the quantitative parameters. Kappa and intraclass correlation coefficients were used to evaluate interobserver reproducibility for MDCT features. Results Median ages between patients with SBOTs and SMOTs were significantly different. Compared with SBOTs, vascular abnormalities were significantly more common in SMOTs. CA125, HE4, the maximum thickness of the wall, the maximum thickness of the septa, and the maximum diameter of the solid portions were significantly higher in patients with SMOTs. A binary logistic regression analysis revealed that age, vascular abnormalities, and the maximum diameter of the solid portion were independent factors of SMOTs. ROC analysis was used to assess the potential diagnostic value for predicting SMOTs. Moderate or good interobserver reproducibility for MDCT features were identified. Conclusions Age, vascular abnormalities, and the maximum diameter of the solid portion were independent factors for differentiating SBOTs from SMOTs. The combined analysis of age, vascular abnormalities, and the maximum diameter of the solid portion may allow better differentiation between SBOTs and SMOTs.
Collapse
Affiliation(s)
- Xin-Ping Yu
- Department of Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland)
| | - Ying Liu
- Department of Radiology, Civil Aviation General Hospital, Civil Aviation Clinical Medical College of Peking University, Beijing, China (mainland)
| | - Jin-Wen Jiao
- Department of Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland)
| | - Hong-Juan Yang
- Department of Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland)
| | - Rui-Jing Wang
- Department of Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland)
| | - Shuai Zhang
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland)
| |
Collapse
|
27
|
Directive clinique no 403 : Évaluation initiale et prise en charge des masses annexielles. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2020; 42:1030-1039.e3. [DOI: 10.1016/j.jogc.2020.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
28
|
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
|
29
|
Qian L, Ren J, Liu A, Gao Y, Hao F, Zhao L, Wu H, Niu G. MR imaging of epithelial ovarian cancer: a combined model to predict histologic subtypes. Eur Radiol 2020; 30:5815-5825. [PMID: 32535738 DOI: 10.1007/s00330-020-06993-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 04/15/2020] [Accepted: 05/28/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To compare the performance of clinical features, conventional MR image features, ADC value, T2WI, DWI, DCE-MRI radiomics, and a combined multiple features model in predicting the type of epithelial ovarian cancer (EOC). METHODS In this retrospective analysis, 61 EOC patients were confirmed by histology. Significant features (p < 0.05) by multivariate logistic regression were retained to establish a clinical model, conventional MRI morphological model, ADC model, and traditional model. The radiomics model included FS-T2WI, DWI, and DCE-MRI, and also, a multisequence model was established. A total of 1070 radiomics features of each sequence were extracted; then, univariate analysis and LASSO were used to select important features. Traditional models were combined with a combined radiomics model to establish a mixed model. The predictive performance was validated by receiver operating characteristic curve (ROC) analysis, calibration curve, and decision curve analysis (DCA). A stratified analysis was conducted to compare the differences between the combined radiomics model and the traditional model in identifying early- and late-stage EOC. RESULTS Traditional models showed the highest performance (AUC = 0.96). The performance of the mixed model (AUC = 0.97) was not significantly different from that of the traditional model. The calibration curve showed that the traditional model had the highest reliability. Stratified analysis showed the potential of the combined radiomics model in the early distinction of the two tumor types. CONCLUSION The traditional model is an effective tool to distinguish EOC type I/II. Combined radiomics models have the potential to better distinguish EOC types in early FIGO stage disease. KEY POINTS • The combined radiomics model resulted in a better predictive model than that from a single sequence model. • The traditional model showed higher classification accuracy than the combined radiomics model. • Combined radiomics models have the potential to better distinguish EOC types in early FIGO stage disease.
Collapse
Affiliation(s)
- LuoDan Qian
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010000, China
| | - JiaLiang Ren
- GE Healthcare (Shanghai) Co., Ltd., Shanghai, 210000, China
| | - AiShi Liu
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010000, China
| | - Yang Gao
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010000, China
| | - FenE Hao
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010000, China
| | - Lei Zhao
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010000, China
| | - Hui Wu
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010000, China.
| | - GuangMing Niu
- Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010000, China.
| |
Collapse
|
30
|
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]
|
31
|
Abstract
Endometriosis is a disease of reproductive age women that is commonly characterized by symptoms that often negatively impact quality of life. The clinical management of endometriosis remains highly variable and mostly influenced by geographic location, practice patterns, and breadth of clinician experience. This variability in treatment has inspired a trend towards multidisciplinary and specialized care of patients suffering from this disease. Surgical sampling, followed by histologic confirmation of endometrial-like tissue, remains the standard for the definitive diagnosis of endometriosis. However, the high sensitivity and specificity of MRI and ultrasound has shed light on the path towards non-surgical diagnosis of deep infiltrating endometriosis. Molecular variability and intricacy of this disease has limited the development of biologic markers to target for non-invasive diagnosis and pharmacologic therapies. Surgical management of advanced-stage endometriosis can be difficult, mostly secondary to the invasive nature of the disease, and anatomical distortion requiring advanced surgical skills to manage. The high prevalence of chronic pelvic pain and other complex pain syndromes in patients with endometriosis also requires knowledge in the management of these types of issues in order to provide comprehensive care. Menopausal endometriosis, extrapelvic presentation, and potential malignant transformation of lesions are infrequent, requiring a high index of suspicion for timely diagnosis and treatment.
Collapse
Affiliation(s)
- Miguel A Luna Russo
- Section of Benign Gynecology, Obstetrics and Gynecology, Women's Health Institute, Cleveland Clinic, Cleveland, OH, USA -
| | - Julia N Chalif
- Obstetrics and Gynecology, Women's Health Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | | |
Collapse
|
32
|
Suh-Burgmann E, Flanagan T, Brasic N. Reservations Regarding O-RADS Recommendations. Radiology 2020; 295:248-249. [DOI: 10.1148/radiol.2020192559] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
| | | | - Natasha Brasic
- Radiology, Kaiser Permanente Northern California, 1425 S Main St, Walnut Creek, CA 94596
| |
Collapse
|
33
|
Nishio M, Akasaka T, Sakamoto R, Togashi K. Bayesian Statistical Model of Item Response Theory in Observer Studies of Radiologists. Acad Radiol 2020; 27:e45-e54. [PMID: 31147237 DOI: 10.1016/j.acra.2019.04.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 04/16/2019] [Accepted: 04/16/2019] [Indexed: 11/29/2022]
Abstract
RATIONALE AND OBJECTIVES The purpose of this study was to validate a Bayesian statistical model of item response theory (IRT). IRT was used to evaluate a new modality (temporal subtraction, TS) in observer studies of radiologists, compared with a conventional modality (computed tomography). MATERIALS AND METHODS From previously published papers, we obtained two datasets of clinical observer studies of radiologists. Those studies used a multi-reader and multi-case paradigm to evaluate radiologists' detection abilities, primarily to determine if TS could enhance the detectability of bone metastasis or brain infarctions. We applied IRT to these studies' datasets using Stan software. Before applying IRT, the radiologists' responses were recorded as binaries for each case (1 = correct, 0 = incorrect). Effect of TS on detectability was evaluated by using our IRT model and calculating the 95% credible interval of the effect. RESULTS The mean, median, and 95% credible interval of the effect of TS were 0.913, 0.885, and 0.243-1.745 for the bone metastasis detection, and 2.524, 2.50, and 1.827-3.310, for the brain infarction detection. For both detection studies, the 95% credible intervals of the effect of TS did not include zero, indicating that TS significantly improved diagnostic ability. CONCLUSION Judgments based on the present study results were compatible with the two previous studies. Our study results demonstrated that the Bayesian statistical model of IRT could judge a new modality's usefulness.
Collapse
Affiliation(s)
- Mizuho Nishio
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Preemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, Kyoto, Japan.
| | - Thai Akasaka
- Department of Radiology, Osaka Red Cross Hospital, Osaka, Japan
| | - Ryo Sakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan; Preemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, Kyoto, Japan
| | - Kaori Togashi
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan
| |
Collapse
|
34
|
Abstract
OBJECTIVE The purpose of this article is to review the imaging findings and genomics of granulosa cell tumors (GCTs) in order to aid in diagnosis and management of GCTs. GCTs are the most common type of sex cord-stromal tumors of the ovary. They are usually diagnosed initially with ultrasound and are subsequently further characterized with CT and MRI. PET/CT is often ordered as well to measure the extent of disease and for follow-up, but its usefulness is in question as some GCTs lack FDG avidity. There is significant variability in imaging phenotypes of GCTs, ranging from mostly cystic to almost solid. More resources have recently been dedicated to understanding the genetics and molecular mechanisms of GCT development. Current research shows that the main cause of GCT carcinogenesis is the FOXL2 mutation, but there are several other noteworthy mutations that contribute to the pathogenesis of this disease. Certain mutations, like GATA4, are known to be associated with more aggressive disease and higher rates of recurrence. CONCLUSION Using this information, imaging protocols can be altered depending on the genotype of the tumor. Further understanding of the genetic alterations that underpin the development of GCTs is indicated as genotypic knowledge could be used to guide optimal imaging and management strategies.
Collapse
|
35
|
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]
|
36
|
Abdel Wahab C, Rousset P, Bolze PA, Thomassin-Naggara I. [Borderline Ovarian Tumours: CNGOF Guidelines for Clinical Practice - Imaging]. ACTA ACUST UNITED AC 2020; 48:260-276. [PMID: 32004779 DOI: 10.1016/j.gofs.2020.01.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
OBJECTIVE To determine the place of imaging and the performance of different imaging techniques (transvaginal ultrasound with or without Doppler, scoring, CT, MRI) to differentiate benign tumour, borderline ovarian tumour (BOT) and malignant ovarian tumor. Differentiate the histological subtypes of BOT (serous, sero-mucinous, mucinous) and prediction in imaging of the possibility of conservative treatment. METHODS The research was carried out over the last 16 years using the terms "MeSH" based on the query of the Medline® database and supplemented by the review of references contained in the meta-analyzes, systematic reviews and original articles included. RESULTS Endo-vaginal and suprapubic ultrasonography is recommended for analysis of an ovarian mass (grade A). In the case of ultrasound by a referent, subjective analysis is the recommended technique (grade A). In case of echography by a non-referent, the use of "Simple Rules" is recommended (grade A) and should be best combined with subjective analysis to rejoin the performance of a sonographer refer (grade A). In cases of undetermined ovarian lesions in endovaginal ultrasound and suprapubic ultrasound, it is recommended to perform a pelvic MRI (grade A). The MRI protocol should include T2, T1, T1 sequences with fat saturation, diffusion, injected dynamics, and after gadolinium injection (grade B). To characterize an MRI-adnexal image, it is recommended to include a risk score for malignancy (ADNEX-MR/O-RADS) (grade C) in the report and to formulate an anatomopathological hypothesis (Grade C). The predictive signs of benignity in front of a cyst with endocystic vegetations are the low number, the small size, the presence of calcifications and the absence of Doppler flow in case of size greater than 10mm in echography (LP 4) and a curve of type 1 MRI (LP4). MRI is recommended for suspicious lesions of BOT in ultrasound (grade B) or indeterminate lesions in ultrasound (grade A). There is no data to support the usefulness of CT or PET-CT for BOT. Morphological criteria in ultrasound and MRI exist to differentiate BOT from invasive tumors regardless of grade (NP 2). Pelvic MRI is recommended to characterize a tumor suggestive of ultrasound BOT (grade C). No recommendations can be made about the use of combined ultrasound, biological, and menopausal status scores for the diagnosis of BOT. The diagnostic performance of imaging to detect peritoneal implants of BOT is not known. The assessment of the invasiveness of peritoneal implants of imaging BOT has not been evaluated. The association of macroscopic signs in MRI makes it possible to differentiate the different subtypes - serous, sero-mucinous and mucinous (intestinal type) - of BOT, despite the overlap of certain presentations (LP3). The analysis of macroscopic MRI signs must be performed to differentiate the different subtypes of TFO (grade C). No recommendation can be made on imaging prediction of the possibility of conservative BOT treatment.
Collapse
Affiliation(s)
- C Abdel Wahab
- Service de radiologie, hôpital Tenon, AP-HP, 4, rue de la Chine, 75020 Paris, France; ISCD, équipe médecine, Sorbonne université, université Paris 06, IUC, 75005 Paris, France
| | - P Rousset
- HCL, EMR 3738, service de radiologie, centre hospitalier Lyon Sud, 165, chemin du Grand-Revoyet, 69310 Pierre-Bénite, France; Université Lyon 1, 43, boulevard du 11 Novembre 1918, 69100 Villeurbanne, France
| | - P-A Bolze
- Service de chirurgie gynécologique et oncologique, obstétrique, Lyon Sud, 165, chemin du Grand-Revoyet, 69310 Pierre Bénite, France
| | - I Thomassin-Naggara
- Service de radiologie, hôpital Tenon, AP-HP, 4, rue de la Chine, 75020 Paris, France; ISCD, équipe médecine, Sorbonne université, université Paris 06, IUC, 75005 Paris, France.
| |
Collapse
|
37
|
Comparison of International Ovarian Tumor Analysis Simple Rules to Society of Radiologists in Ultrasound Guidelines for Detection of Malignancy in Adnexal Cysts. AJR Am J Roentgenol 2019; 214:694-700. [PMID: 31770022 DOI: 10.2214/ajr.18.20630] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE. The purpose of this study was to evaluate the International Ovarian Tumor Analysis (IOTA) simple rules and the Society of Radiologists in Ultrasound (SRU) guidelines for detecting ovarian malignancy in a general population of women presenting to radiology departments with adnexal cystic lesions. MATERIALS AND METHODS. A retrospective multicenter study of ultrasound-detected adnexal cystic lesions with appropriate follow-up was conducted. Lesions were classified into benign, indeterminate, or malignant categories according to criteria based on the IOTA simple rules and the SRU guidelines. The prevalence of nonneoplastic cysts, neoplasms, and malignant tumors was calculated. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated, and ROC analysis for the diagnosis of malignancy was performed. RESULTS. A total of 697 women with 764 cystic lesions were included; 85.2% (651/764) of the lesions were nonneoplastic, 12.2% (93/764) were benign neoplasms, and 2.6% (20/764) were malignant neoplasms. Nearly all malignancies were classified into indeterminate and malignant categories. The prevalence of malignancy in the indeterminate category was 4.8% (7/145) (SRU) to 10.7% (7/65) (IOTA) and in the malignant category was 18.1% (13/72) (SRU) to 34.3% (12/35) (IOTA). Only one malignancy was misclassified as benign by the IOTA simple rules. The sensitivity of the IOTA simple rules for malignancy was 90.0%; specificity, 96.5%; PPV, 29.0%; NPV, 99.8%; and accuracy, 96.4%. The corresponding values for the SRU guidelines were 100%, 89.6%, 14.9%, 100%, and 89.8%. In ROC analysis, the IOTA simple rules were slightly more accurate than the SRU guidelines (AUC, 0.9805 versus 0.9713; p = 0.0003). CONCLUSION. Both imaging characterization methods were sensitive for identifying ovarian malignancies, but the PPV was low among women presenting to radiology departments, and the indeterminate classification harbored one-third of the total malignancies. Exploration of varied clinical settings and inclusion of secondary tests may help to refine these systems.
Collapse
|
38
|
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]
|
39
|
Lawrence AE, Gonzalez DO, Fallat ME, Aldrink JH, Hewitt GD, Hertweck SP, Onwuka A, Bence C, Burns RC, Dillon PA, Ehrlich PF, Fraser JD, Grabowski JE, Hirschl RB, Kabre R, Kohler JE, Lal DR, Landman MP, Leys CM, Mak GZ, Sato TT, Scannell M, Sujka JA, Minneci PC, Deans KJ. Factors Associated With Management of Pediatric Ovarian Neoplasms. Pediatrics 2019; 144:peds.2018-2537. [PMID: 31164439 DOI: 10.1542/peds.2018-2537] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/29/2019] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Available evidence supports ovary-sparing surgery for benign ovarian neoplasms; however, preoperative risk stratification of pediatric ovarian masses can be difficult. Our objective of this study was to characterize the surgical management of pediatric ovarian neoplasms across 10 children's hospitals and to identify factors that could potentially aid in the preoperative risk stratification of these lesions. METHODS A retrospective review of girls and women aged 2 to 21 years who underwent surgery for an ovarian neoplasm between 2010 and 2016 at 10 children's hospitals was performed. Multivariable logistic regression was used to examine the relationships between the preoperative cohort characteristics, procedure performed, and risk of malignancy. RESULTS Among 819 girls and women undergoing surgery for an ovarian neoplasm, malignant lesions were identified in 11%. The overall oophorectomy rate for benign disease was 33% (range: 15%-49%) across institutions. Oophorectomy for benign lesions was independently associated with provider specialty (P = .002: adult gynecologist, 45%; pediatric surgeon, 32%; pediatric gynecologist, 18%), premenarchal status (P = .02), preoperative suspicion for malignancy (P < .0001), larger lesion size (P < .0001), and presence of solid components (P < .0001). Preoperative findings independently associated with malignancy included increasing size (P < .0001), solid components (P = .003), and age (P < .0001). CONCLUSIONS The rate of oophorectomy for benign ovarian disease remains high within the pediatric population. Identification of factors associated with the choice of procedure and the risk of malignancy may allow for improved preoperative risk stratification and fewer unnecessary oophorectomies. These results have been used to develop and validate a multidisciplinary preoperative risk stratification algorithm that is currently being studied prospectively across 10 institutions.
Collapse
Affiliation(s)
- Amy E Lawrence
- Division of Pediatric Surgery, Department of Surgery and the Research Institute and
| | - Dani O Gonzalez
- Department of Surgery, Mt. Sinai Hospital, New York, New York
| | | | - Jennifer H Aldrink
- Division of Pediatric Surgery, Department of Surgery and the Research Institute and
| | - Geri D Hewitt
- Division of Pediatric and Adolescent Gynecology, Nationwide Children's Hospital and College of Medicine, The Ohio State University, Columbus, Ohio
| | - S Paige Hertweck
- Pediatric and Adolescent Gynecology, Norton Children's Hospital and School of Medicine, University of Louisville, Louisville, Kentucky
| | - Amanda Onwuka
- Division of Pediatric Surgery, Department of Surgery and the Research Institute and
| | - Christina Bence
- Division of Pediatric Surgery, Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Robert C Burns
- Division of Pediatric Surgery, Department of Surgery, School of Medicine, Indiana University, Indianapolis, Indiana
| | - Patrick A Dillon
- Division of Pediatric Surgery, Department of Surgery, School of Medicine, Washington University, St Louis, Missouri
| | - Peter F Ehrlich
- Section of Pediatric Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan
| | - Jason D Fraser
- Division of Pediatric Surgery, Department of Surgery, Children's Mercy Hospital, Kansas City, Missouri
| | - Julia E Grabowski
- Division of Pediatric Surgery, Department of Surgery, Ann & Robert H. Lurie Children's Hospital and Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Ronald B Hirschl
- Section of Pediatric Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan
| | - Rashmi Kabre
- Division of Pediatric Surgery, Department of Surgery, Ann & Robert H. Lurie Children's Hospital and Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Jonathan E Kohler
- Division of Pediatric Surgery, Department of Surgery, University of Wisconsin, Madison, Wisconsin; and
| | - Dave R Lal
- Division of Pediatric Surgery, Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Matthew P Landman
- Division of Pediatric Surgery, Department of Surgery, School of Medicine, Indiana University, Indianapolis, Indiana
| | - Charles M Leys
- Division of Pediatric Surgery, Department of Surgery, University of Wisconsin, Madison, Wisconsin; and
| | - Grace Z Mak
- Section of Pediatric Surgery, Department of Surgery, the University of Chicago Medicine and Biological Sciences, Chicago, Illinois
| | - Thomas T Sato
- Division of Pediatric Surgery, Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Madeline Scannell
- Division of Pediatric Surgery, Department of Surgery, School of Medicine, Washington University, St Louis, Missouri
| | - Joseph A Sujka
- Division of Pediatric Surgery, Department of Surgery, Children's Mercy Hospital, Kansas City, Missouri
| | - Peter C Minneci
- Division of Pediatric Surgery, Department of Surgery and the Research Institute and
| | - Katherine J Deans
- Division of Pediatric Surgery, Department of Surgery and the Research Institute and
| |
Collapse
|
40
|
Gambhir SS, Shankar LK, Rosenthal E, Warram JM, Ghesani M, Hope TA, Jacobs PM, Jacobson GB, Wilson T, Siegel BA. Proceedings: Pathways for Successful Translation of New Imaging Agents and Modalities-Phase III Studies. J Nucl Med 2019; 60:736-744. [PMID: 30850482 DOI: 10.2967/jnumed.118.219824] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 11/28/2018] [Indexed: 12/19/2022] Open
Affiliation(s)
- Sanjiv S Gambhir
- Departments of Radiology, Bioengineering, and Materials Science and Engineering, Molecular Imaging Program, Stanford University, Stanford, California
| | - Lalitha K Shankar
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland
| | - Eben Rosenthal
- Department of Otolaryngology, Stanford University, Stanford, California
| | - Jason M Warram
- Department of Otolaryngology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Munir Ghesani
- Department of Radiology, New York University, New York, New York
| | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California
| | - Paula M Jacobs
- Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland
| | - Gunilla B Jacobson
- Department of Radiology, Molecular Imaging Program, Stanford University, Stanford, California
| | - Terri Wilson
- Blue Earth Diagnostics, Inc., Burlington, Massachusetts; and
| | - Barry A Siegel
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| |
Collapse
|
41
|
Thomassin-Naggara I, Daraï E, Lécuru F, Fournier L. [Diagnostic value of imaging (ultrasonography, doppler, CT, MR, PET-CT) for the diagnosis of a suspicious ovarian mass and staging of ovarian, tubal or primary peritoneal cancer: Article drafted from the French Guidelines in oncology entitled "Initial management of patients with epithelial ovarian cancer" developed by FRANCOGYN, CNGOF, SFOG, GINECO-ARCAGY under the aegis of CNGOF and endorsed by INCa]. ACTA ACUST UNITED AC 2019; 47:123-133. [PMID: 30686729 DOI: 10.1016/j.gofs.2018.12.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Indexed: 11/18/2022]
Abstract
Transvaginal ultrasound is the first-line examination allowing characterizing 80 to 90% of adnexal masses (LP1). If performed by an expert, a subjective analysis is optimal. If performed by a non-expert, combining the use of Simple Rules with subjective analysis can achieve the diagnostic performance of an expert (LP1). Whichever the chosen model (subjective analysis by an expert or combination of the Simple Rules with a subjective analysis by a non-expert), a second-line examination will have to be proposed in the complex or indeterminate cases (about 20% of the masses) (grade A). The best-performing second-line test for characterization is pelvic MRI (LP1). If read by an expert, a pathological hypothesis can or should be suggested (grade D). In case of non-expert reading, the use of the ADNEXMR score allows a reliable assessment of the positive predictive value of malignancy to guide the patient towards the best management (gradeC). For preoperative assessment and evaluation of resectability of ovarian, fallopian tube or primary peritoneal cancer, it is recommended to perform a chest abdomen and pelvis CT with contrast agent injection (LP2, grade B). In the event of a contraindication to the injection of iodinated contrast agent (severe renal insufficiency, GFR <30mL/min), an abdomen and pelvis MRI completed with a non-injected chest CT may be proposed (LP3, grade C). By analogy, the same examinations are recommended to evaluate the disease after neo-adjuvant chemotherapy (LP3, Recommendation grade C). Further studies will be required to determine whether PET-CT provides better lymph node assessment before retroperitoneal and pelvic lymphadenectomy. PET-CT may be used to eliminate lymph node involvement in the absence of suspicious lymph nodes on morphological examination (LP3, grade C). The report should specify the localizations leading to a risk of incomplete cytoreductive surgery and lesions outside the field explored during surgery.
Collapse
Affiliation(s)
- I Thomassin-Naggara
- Service de radiologie, hôpital Tenon, Assistance publique-Hôpitaux de Paris (AP-HP), 4, rue de la Chine, 75020 Paris, France; Équipe medecine- Jussieu, institut des sciences du calcul et de données (ISCD), Sorbonne université 4, place Jussieu, 75006 Paris, France.
| | - E Daraï
- Service de gynécologie et obstétrique, hôpital Tenon, Assistance publique-Hôpitaux de Paris (AP-HP), 4, rue de la Chine, 75020 Paris, France
| | - F Lécuru
- Service de chirurgie cancérologique gynécologique et du sein, hôpital européen Georges-Pompidou, Assistance publique-Hôpitaux de Paris, 20, rue Leblanc, 75015 Paris, France
| | - L Fournier
- Service de radiologie, université Paris Descartes Sorbonne Paris Cité, hôpital européen Georges-Pompidou, Assistance publique-Hôpitaux de Paris, 20, rue Leblanc, 75015 Paris, France; Université Paris Descartes Sorbonne Paris Cité, Inserm UMR-S970, Cardiovascular Research Center - PARCC, 56, rue Leblanc, 75015 Paris, France
| |
Collapse
|
42
|
Khoiwal K, Bahadur A, Kumari R, Bhattacharya N, Rao S, Chaturvedi J. Assessment of Diagnostic Value of Serum Ca-125 and Risk of Malignancy Index Scoring in the Evaluation of Adnexal Masses. J Midlife Health 2019; 10:192-196. [PMID: 31942155 PMCID: PMC6947724 DOI: 10.4103/jmh.jmh_84_19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Introduction: Adnexal masses have a wide spectrum with respect to the age of presentation, signs and symptoms, imaging findings, and histopathology report. Materials and Methods: This is a cross-sectional diagnostic study, conducted at All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India. The data were collected from department of gynecology over a period of 1½ years from June 2017 to December 2018. All women who were diagnosed to have an adnexal mass irrespective to age, parity, and menopausal status were included in the study. Ultrasonography of the abdomen with the pelvis was ordered in all patients followed by contrast-enhanced computed tomography or magnetic resonance imaging in selective patients. Tumor markers such as Ca-125 was measured, and risk of malignancy index (RMI) was calculated for each tumor. The clinical and imaging findings were correlated with intra-operative findings and finally with the histopathology examination report. Results: A total of 171 women were included in the study who were diagnosed to have adnexal mass. A total of 137 women (80.1%) had benign tumor (Group B), whereas 34 women (19.9%) were found to have malignant tumor (Group M). Mean age in Group B was 35.85 ± 12.46 and in Group M was 46.12 ± 13.46 (P = 0.001). Ca-125 was significantly higher in Group M (1350 U/ml) than Group B (175 U/ml) (P = 0.008). The RMI score was also found to significantly increased in Group M than Group B (P = 0.007). Conclusion: With respect to adnexal masses, both Ca-125, as well as RMI scoring, are important diagnostic tools. RMI scoring has a better overall diagnostic performance than Ca-125 in predicting malignancy.
Collapse
Affiliation(s)
- Kavita Khoiwal
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Anupama Bahadur
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Ranjeeta Kumari
- Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Namrata Bhattacharya
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Shalinee Rao
- Department of Pathology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Jaya Chaturvedi
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| |
Collapse
|
43
|
Adnexal lesions: Imaging strategies for ultrasound and MR imaging. Diagn Interv Imaging 2018; 100:635-646. [PMID: 30177450 DOI: 10.1016/j.diii.2018.06.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 06/12/2018] [Indexed: 11/24/2022]
Abstract
Adnexal lesions are routinely encountered in general practice. Ultrasound is the first line of investigation in determining the benign or malignant potential of an adnexal lesion. In the cases of classic simple cysts, hemorrhagic cysts, endometriomas, dermoids and obviously malignant lesions, ultrasound may be sufficient for management recommendations. In cases where there is an isolated adnexal lesion, without peritoneal disease or serum CA-125 elevation, and in lesions considered indeterminate on ultrasound, MR imaging with incorporation of the ADNEx MR score can increase the specificity for the diagnosis of benignity or malignancy. This article will review the imaging evaluation of adnexal lesions and how to incorporate the ADNEx MR score to help guide clinical management.
Collapse
|
44
|
Lam CZ, Chavhan GB. Magnetic resonance imaging of pediatric adnexal masses and mimics. Pediatr Radiol 2018; 48:1291-1306. [PMID: 30078037 DOI: 10.1007/s00247-018-4073-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 11/07/2017] [Accepted: 01/03/2018] [Indexed: 01/09/2023]
Abstract
Evaluation of adnexal masses in children and adolescents relies on imaging for appropriate diagnosis and management. Pelvic MRI is indicated and adds value for all adnexal masses when surgery is considered or when ultrasound findings are indeterminate. Specifically, features on MR imaging can help distinguish between benign and malignant lesions, which not only influences the decision between surgery and conservative treatment, but also the type of surgery to be performed, including potential use of fertility-sparing approaches with minimally invasive techniques. Larger size, younger age, presentation with precocious puberty or virilization, restricted diffusion in a solid mass, and rapid and strong enhancement of solid components are all features concerning for malignancy. In addition, distinctive MR imaging features of adnexal masses, combined with clinical and laboratory biomarkers, might suggest a specific histological diagnosis.
Collapse
Affiliation(s)
- Christopher Z Lam
- Department of Diagnostic Imaging, The Hospital for Sick Children, Medical Imaging, University of Toronto, 555 University Ave., Toronto, ON, M5G 1X8, Canada.
| | - Govind B Chavhan
- Department of Diagnostic Imaging, The Hospital for Sick Children, Medical Imaging, University of Toronto, 555 University Ave., Toronto, ON, M5G 1X8, Canada
| |
Collapse
|
45
|
Lee J, Lucerna A, Patel K, Espinosa J. Unusual Cause of “Constipation”. J Osteopath Med 2018; 118:561. [DOI: 10.7556/jaoa.2018.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
46
|
CT Features of Ovarian Tumors: Defining Key Differences Between Serous Borderline Tumors and Low-Grade Serous Carcinomas. AJR Am J Roentgenol 2018; 210:918-926. [PMID: 29489407 DOI: 10.2214/ajr.17.18254] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE The objective of our study was to investigate whether the CT features of serous borderline tumors (SBTs) differ from those of low-grade serous carcinomas (LGSCs) and to evaluate if mutation status is associated with distinct CT phenotypes. MATERIALS AND METHODS This retrospective study included 59 women, 37 with SBT and 22 with LGSC, who underwent CT before primary surgical resection. Thirty of 59 patients were genetically profiled. Two radiologists (readers 1 and 2) independently and retrospectively reviewed CT examinations for qualitative features and quantified total tumor volumes (TTVs), solid tumor volumes (STVs), and solid proportion of ovarian masses. Univariate and multivariate associations of the CT features with histopathologic diagnoses and mutations were evaluated, and interreader agreement was determined. RESULTS At multivariate analysis, the presence of bilateral ovarian masses (p = 0.03), the presence of peritoneal disease (PD) (p = 0.002), and higher STV of ovarian masses (p = 0.002) were associated with LGSC. The presence of nodular PD pattern (p < 0.001 each reader) and the presence of PD calcifications (reader 1, p = 0.02; reader 2, p = 0.003) were associated with invasive peritoneal lesions (i.e., LGSC). The presence of bilateral ovarian masses (p = 0.04 each reader), PD (reader 1, p = 0.01; reader 2, p = 0.004), and higher STV (p = 0.03 for each reader) were associated with the absence of BRAF mutation (i.e., wild type [wt]-BRAF). CONCLUSION The CT features of LGSCs were distinct from those of SBTs. The CT manifestations of LGSC and the wt-BRAF phenotype were similar.
Collapse
|
47
|
Sadowski EA, Paroder V, Patel-Lippmann K, Robbins JB, Barroilhet L, Maddox E, McMahon T, Sampene E, Wasnik AP, Blaty AD, Maturen KE. Indeterminate Adnexal Cysts at US: Prevalence and Characteristics of Ovarian Cancer. Radiology 2018; 287:1041-1049. [PMID: 29480762 DOI: 10.1148/radiol.2018172271] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To assess the prevalence of indeterminate adnexal cysts in women presenting to academic medical centers for pelvic ultrasonography (US), determine the incidence of malignancy, and identify cyst and patient characteristics that are predictive of malignancy. Materials and Methods A multicenter study of US-detected adnexal cysts with appropriate follow-up (surgical pathologic examination, imaging and/or clinical examination) was conducted from January 2008 to June 2012. Indeterminate cysts were classified as category 1 (typical benign appearing cysts >5 cm) or category 2 (cysts with avascular solid components) on the basis of a combination of definitions in the existing literature. The incidence of neoplasms and malignant tumors was calculated. Patient and cyst characteristics associated with neoplasm and malignant tumors were evaluated with the χ2 test or Fisher exact test for categorical variables and the t test for continuous variables. A backward stepwise logistic regression model was performed for two outcomes: (a) the presence of any neoplasm (benign or malignant) and (b) the presence of a malignant tumor. Results There were 1637 women with an adnexal cyst at US; 391 (mean age = 41.8 years ± 13.5.1; range = 17-91 years) had an indeterminate adnexal cyst at US. The prevalence of indeterminate adnexal cysts was 23.9% (391 of 1637; 95% confidence interval [CI]: 0.22, 0.26). Three hundred three indeterminate cysts in 280 women (mean age = 42.9 years ± 14.1; range = 17-88 years) had adequate follow-up. The incidence of ovarian neoplasms (benign and malignant) was 24.8% (75 of 303 cysts; 95% CI: 0.20, 0.30), and the incidence of malignant tumors was 3.6% (11 of 303 cysts; 95% CI: 0.02, 0.06). The proportion of ovarian neoplasms differed between category 1 and category 2 cysts (17.5% [25 of 143 cysts; 95% CI: 0.12, 0.25] vs 31.3% [50 of 160 cysts; 95% CI: 0.24, 0.39], respectively; P = .001). The proportion of malignant tumors differed between categories 1 and 2 cysts (0% [0 of 143 cysts] vs 6.9% [11 of 160 cysts; 95% CI: 0.03, 0.12]; P < .001). The presence of an avascular nodular component was a significant predictor of malignancy at stepwise logistic regression analysis (odds ratio = 2.83; P ≤ .0001; 95% CI: 1.69, 4.70). Conclusion The presence of an avascular nodular component was the most significant predictor of the presence of malignancy in indeterminate adnexal cysts. The risk of malignancy is higher with category 2 cysts than with category 1 cysts. © RSNA, 2018.
Collapse
Affiliation(s)
- Elizabeth A Sadowski
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Viktoriya Paroder
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Krupa Patel-Lippmann
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Jessica B Robbins
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Lisa Barroilhet
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Elizabeth Maddox
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Timothy McMahon
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Emmanuel Sampene
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Ashish P Wasnik
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Alexander D Blaty
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Katherine E Maturen
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| |
Collapse
|
48
|
|
49
|
Pandharipande PV, Lowry KP, Reinhold C, Atri M, Benson CB, Bhosale PR, Green ED, Kang SK, Lakhman Y, Maturen KE, Nicola R, Salazar GM, Shipp TD, Simpson L, Sussman BL, Uyeda J, Wall DJ, Whitcomb B, Zelop CM, Glanc P. ACR Appropriateness Criteria ® Ovarian Cancer Screening. J Am Coll Radiol 2017; 14:S490-S499. [DOI: 10.1016/j.jacr.2017.08.049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 08/23/2017] [Indexed: 11/27/2022]
|
50
|
McEvoy SH, Nougaret S, Abu-Rustum NR, Vargas HA, Sadowski EA, Menias CO, Shitano F, Fujii S, Sosa RE, Escalon JG, Sala E, Lakhman Y. Fertility-sparing for young patients with gynecologic cancer: How MRI can guide patient selection prior to conservative management. Abdom Radiol (NY) 2017; 42:2488-2512. [PMID: 28528388 PMCID: PMC5857967 DOI: 10.1007/s00261-017-1179-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Historically, cancer treatment has emphasized measures for the "cure" regardless of the long-term consequences. Advances in cancer detection and treatment have resulted in improved outcomes bringing to the fore various quality of life considerations including future fertility. For many young cancer patients, fertility preservation is now an integral component of clinical decision-making and treatment design. Optimal fertility-sparing options for young patients with gynecologic cancer are influenced by patient age, primary cancer, treatment regimens, and patient preferences. Possible approaches include embryo or oocyte cryopreservation, ovarian transposition, conservative surgery, and conservative medical treatment to delay radical surgery. These may be used alone or in combination to maximize fertility preservation. Awareness of the various fertility-sparing options, eligibility criteria, and the central role of magnetic resonance imaging in the proper selection of patients will enable radiologists to produce complete clinically relevant imaging reports and serve as effective consultants to referring clinicians. Knowledge of the potential imaging pitfalls is essential to avoid misinterpretation and guide appropriate management.
Collapse
Affiliation(s)
- Sinead H McEvoy
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Radiology, The Christie NHS Foundation, 550 Wilmslow Rd, Manchester, M20 4BX, UK.
| | - Stephanie Nougaret
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Institut Régional du Cancer de Montpellier, Montpellier, France
- IRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM, U1194, Montpellier, France
| | - Nadeem R Abu-Rustum
- Gynecologic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | - Fuki Shitano
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinya Fujii
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Ramon E Sosa
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joanna G Escalon
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, USA
| | - Evis Sala
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yulia Lakhman
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| |
Collapse
|