1
|
Amado Cabana S, Gallego Ojea J, Félez Carballada M. Usefulness of dynamic contrast-enhanced magnetic resonance imaging in characterizing ovarian tumors classified as indeterminate at ultrasonography. RADIOLOGIA 2022; 64:110-118. [DOI: 10.1016/j.rxeng.2020.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 05/20/2020] [Indexed: 10/18/2022]
|
2
|
Wei M, Bo F, Cao H, Zhou W, Shan W, Bai G. Diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging for malignant ovarian tumors: a systematic review and meta-analysis. Acta Radiol 2021; 62:966-978. [PMID: 32741199 DOI: 10.1177/0284185120944916] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Accurate preoperative diagnosis of malignant ovarian tumors (MOTs) is particularly important for selecting the optimal treatment strategy and avoiding overtreatment. PURPOSE To evaluate the diagnostic efficacy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for MOTs. MATERIAL AND METHODS A systematic search was performed in PubMed, Embase, the Cochrane Library, and Web of Science databases to find relevant original articles up to October 2019. The included studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Studies on the diagnosis of MOTs with quantitative or semi-quantitative DCE-MRI were analyzed separately. The bivariate random-effects model was used to assess the diagnostic authenticity. Meta-regression analyses were performed to analyze the potential heterogeneity. RESULTS For semi-quantitative DCE-MRI, the pooled sensitivity, specificity, positive likelihood ratio (LR), negative LR, diagnostic odds ratio (DOR), and the area under the summary receiver operating characteristic curves (AUC) were 85% (95% confidence interval [CI] 0.75-0.92), 85% (95% CI 0.77-0.91), 5.8 (95% CI 3.8-8.8), 0.17 (95% CI 0.10-0.30), 33 (95% CI 18-61), and 0.92 (95% CI 0.89-0.94), respectively. For quantitative DCE-MRI, the pooled sensitivity, specificity, positive LR, negative LR, DOR, and AUC were 88% (95% CI 0.65-0.96), 93% (95% CI 0.78-0.98), 12.3 (95% CI 3.4-43.9), 0.13 (95% CI 0.04-0.45), 91 (95% CI 10-857), and 0.96 (95% CI 0.94-0.98), respectively. CONCLUSION DCE-MRI has great diagnostic value for MOTs. Semi-quantitative DCE-MRI may be a relatively mature approach; however, quantitative DCE-MRI appears to be more promising than semi-quantitative DCE-MRI.
Collapse
Affiliation(s)
- Mingxiang Wei
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, PR China
| | - Fan Bo
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, PR China
| | - Hui Cao
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, PR China
| | - Wei Zhou
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, PR China
| | - Wenli Shan
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, PR China
| | - Genji Bai
- Department of Radiology, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, Jiangsu, PR China
| |
Collapse
|
3
|
Xiao B, Wang P, Zhao Y, Liu Y, Ye Z. Using arterial spin labeling blood flow and its histogram analysis to distinguish early-stage nasopharyngeal carcinoma from lymphoid hyperplasia. Medicine (Baltimore) 2021; 100:e24955. [PMID: 33663135 PMCID: PMC7909173 DOI: 10.1097/md.0000000000024955] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 02/04/2021] [Indexed: 01/05/2023] Open
Abstract
To investigate the feasibility of arterial spin labeling (ASL) blood flow (BF) and its histogram analysis to distinguish early-stage nasopharyngeal carcinoma (NPC) from nasopharyngeal lymphoid hyperplasia (NPLH).Sixty-three stage T1 NPC patients and benign NPLH patients underwent ASL on a 3.0-T magnetic resonance imaging system. BF histogram parameters were derived automatically, including the mean, median, maximum, minimum, kurtosis, skewness, and variance. Absolute values were obtained for skewness and kurtosis (absolute value of skewness [AVS] and absolute value of kurtosis [AVK], respectively). The Mann-Whitney U test, receiver operating characteristic curve, and multiple logistic regression models were used for statistical analysis.The mean, maximum, and variance of ASL BF values were significantly higher in early-stage NPC than in NPLH (all P < 0.0001), while the median and AVK values of early-stage NPC were also significantly higher than those of NPLH (all P < 0.001). No significant difference was found between the minimum and AVS values in early-stage NPC compared with NPLH (P = 0.125 and P = 0.084, respectively). The area under the curve (AUC) of the maximum was significantly higher than those of the mean and median (P < 0.05). The AUC of variance was significantly higher than those of the other parameters (all P < 0.05). Multivariate analysis showed that variance was the only independent predictor of outcome (P < 0.05).ASL BF and its histogram analysis could distinguish early-stage NPC from NPLH, and the variance value was a unique independent predictor.
Collapse
Affiliation(s)
| | - Peiguo Wang
- Department of Radiotherapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | | | | | | |
Collapse
|
4
|
Amado Cabana S, Gallego Ojea JC, Félez Carballada M. Usefulness of dynamic contrast-enhanced magnetic resonance imaging in characterizing ovarian tumors classified as indeterminate at ultrasonography. RADIOLOGIA 2020; 64:S0033-8338(20)30073-4. [PMID: 32650993 DOI: 10.1016/j.rx.2020.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 05/11/2020] [Accepted: 05/20/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To determine whether there is a significant relationship between the shape of the time-intensity curve on dynamic gadolinium-enhanced magnetic resonance imaging (MRI) of ovarian tumors classified as indeterminate at ultrasonography and the type of lesion (benign, borderline, or malignant) to enable an accurate presurgical diagnosis. MATERIAL AND METHODS We used dynamic contrast-enhanced MRI to study 68 ovarian tumors that were classified as indeterminate at ultrasonography. We included only cases for which a definitive diagnosis (histologic diagnosis or ≥1 year stability on imaging tests) was available. Each case was classified as benign, borderline, or malignant. To analyze the MRI studies, we marked regions of interest in the lesion and in the myometrium (as a reference). We obtained a curve defined by the relation between the intensity of enhancement and time and classified each tumor according to four predefined curve types. We also analyzed semiquantitative parameters. Finally, we compared the results for each of the three groups of tumors. RESULTS We found significant associations (p <0.001) between the curves without early enhancement and benign and borderline lesions as well as between the curves with early enhancement and malignant lesions. Malignant lesions were significantly associated with the semiquantitative enhancement parameters: maximum (p=0.002), maximum relative (p=0.006), and relative (p=0.018). CONCLUSIONS In ovarian tumors classified as indeterminate at ultrasonography, dynamic contrast-enhanced MRI can be useful for classification as benign, borderline, or malignant because the malignant lesions are significantly associated with early enhancement curves.
Collapse
Affiliation(s)
- S Amado Cabana
- Servicio de Radiodiagnóstico, Complexo Hospitalario Universitario de Ferrol, Ferrol, A Coruña, España.
| | - J C Gallego Ojea
- Servicio de Radiodiagnóstico, Complexo Hospitalario Universitario de Ferrol, Ferrol, A Coruña, España
| | - M Félez Carballada
- Servicio de Radiodiagnóstico, Complexo Hospitalario Universitario de Ferrol, Ferrol, A Coruña, España
| |
Collapse
|
5
|
Xiao B, Wang P, Zhao Y, Liu Y, Ye Z. Nasopharyngeal carcinoma perfusion MRI: Comparison of arterial spin labeling and dynamic contrast-enhanced MRI. Medicine (Baltimore) 2020; 99:e20503. [PMID: 32481470 DOI: 10.1097/md.0000000000020503] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
To investigate the feasibility of 3D arterial spin labeling (ASL) as an alternative to dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for the qualitative and quantitative evaluation of nasopharyngeal carcinoma (NPC) perfusion.Fifty-two newly diagnosed NPC patients underwent 3D ASL and DCE-MRI scans on a 3.0-T MRI system. The visual qualitative evaluation of the NPC perfusion level was scored from 0 to 3 (0 = no contrast to normal peripheral soft tissue, 3 = pronounced contrast to normal peripheral soft tissue). The visual evaluation of the NPC outline was scored from 0 to 2 (0 = very vague outline, 2 = clear outline). Comparisons of the ASL-derived blood flow (BF) with the DCE-MRI-derived positive enhancement integral, maximum slope of increase, maximum slope of decrease, and time to peak (TTP) were conducted between NPC and non-NPC areas with independent samples t-tests. The diagnostic performance of these parameters was assessed by receiver operating characteristic curve analysis. The correlations between ASL BF and DCE parameters were assessed by Spearman correlation analysis.There was no difference in the visual scores of the NPC perfusion level between the 2 perfusion methods (P= .963). ASL had a lower visual score for describing the outline of NPC than DCE-MRI (P < .001). The ASL and DCE parameters of the NPC areas were significantly different from those of the non-NPC areas (P < .001). The ASL BF showed the largest area under the receiver operating characteristic curve (AUC) of 0.936 for identifying NPC. When all NPC and non-NPC areas were taken into account, significant correlations were observed between the ASL BF and the DCE parameters positive enhancement integral (r = 0.503, P < .001), maximum slope of increase (r = 0.616, P < .001), maximum slope of decrease (r = 0.380, P < .001), and TTP (r = -0.601, P < .001).3D ASL could reveal the hyperperfusion of NPC in a qualitative and quantitative manner without using contrast agent. Additionally, the ASL BF correlated significantly with the semiquantitative DCE-MRI parameters.
Collapse
Affiliation(s)
| | - Peiguo Wang
- Department of Radiotherapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | | | | | | |
Collapse
|
6
|
Zhang H, Wang J, Guo R. Application Value of Color Doppler Ultrasound and Ultrasound Contrast in the Differential Diagnosis of Ovarian tumor. Pak J Med Sci 2020; 36:80-84. [PMID: 32063936 PMCID: PMC6994900 DOI: 10.12669/pjms.36.2.847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective: To study the value of color Doppler ultrasound and ultrasound contrast in differential diagnosis of ovarian tumors. Methods: Ninety-six patients with ovarian tumors who were treated in our hospital from May 2017 to July 2018 and confirmed by pathological examination were selected as the research subjects. All patients were examined by color Doppler ultrasound and ultrasound contrast. The sensitivity, specificity and accuracy of the two methods were compared, and the parameters of ultrasound contrast in the diagnosis of benign and malignant tumors were observed and compared. Results: The sensitivity, specificity and accuracy of ultrasound contrast in the diagnosis of ovarian tumors were higher than those of color Doppler ultrasound (P<0.05). There were significant differences in the time of initiation enhancement, time to peak and perfusion intensity in the diagnosis of benign and malignant lesions by ultrasound contrast (P<0.05). Conclusion: In the differential diagnosis of ovarian tumors, ultrasound contrast has more advantages than color Doppler ultrasound in displaying the blood perfusion information of tumors. It has high diagnostic accuracy and clinical application value.
Collapse
Affiliation(s)
- Haijing Zhang
- Haijing Zhang, Department of Ultrasonic Medicine, Binzhou People's Hospital, Shandong, 256610, China
| | - Jinming Wang
- Jinming Wang, Department of Ultrasonic Medicine, Binzhou People's Hospital, Shandong, 256610, China
| | - Rui Guo
- Rui Guo, Department of Ultrasonic Medicine, Binzhou People's Hospital, Shandong, 256610, China
| |
Collapse
|
7
|
van Nimwegen LWE, Mavinkurve-Groothuis AMC, de Krijger RR, Hulsker CCC, Goverde AJ, Zsiros J, Littooij AS. MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review. Eur Radiol 2019; 30:1166-1181. [PMID: 31529256 PMCID: PMC6957553 DOI: 10.1007/s00330-019-06420-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 08/03/2019] [Accepted: 08/08/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVES The use of magnetic resonance (MR) imaging in differentiation between benign and malignant adnexal masses in children and adolescents might be of great value in the diagnostic workup of sonographically indeterminate masses, since preserving fertility is of particular importance in this population. This systematic review evaluates the diagnostic value of MR imaging in children with an ovarian mass. METHODS The review was made according to the PRISMA Statement. PubMed and EMBASE were systematically searched for studies on the use of MR imaging in differential diagnosis of ovarian masses in both adult women and children from 2008 to 2018. RESULTS Sixteen paediatric and 18 adult studies were included. In the included studies, MR imaging has shown good diagnostic performance in differentiating between benign and malignant ovarian masses. MR imaging techniques including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging seem to further improve the diagnostic performance. CONCLUSION The addition of DWI with apparent diffusion coefficient (ADC) values measured in enhancing components of solid lesions and DCE imaging may further increase the good diagnostic performance of MR imaging in the pre-operative differentiation between benign and malignant ovarian masses by increasing specificity. Prospective age-specific studies are needed to confirm the high diagnostic performance of MR imaging in children and adolescents with a sonographically indeterminate ovarian mass. KEY POINTS • MR imaging, based on several morphological features, is of good diagnostic performance in differentiating between benign and malignant ovarian masses. Sensitivity and specificity varied between 84.8 to 100% and 20.0 to 98.4%, respectively. • MR imaging techniques like diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging seem to improve the diagnostic performance. • Specific studies in children and adolescents with ovarian masses are required to confirm the suggested increased diagnostic performance of DWI and DCE in this population.
Collapse
Affiliation(s)
- Lotte W E van Nimwegen
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands
| | | | - Ronald R de Krijger
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands.,Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Caroline C C Hulsker
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands
| | - Angelique J Goverde
- Department of Reproductive Medicine and Gynaecology, University Medical Center of Utrecht, Utrecht, The Netherlands
| | - József Zsiros
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands
| | - Annemieke S Littooij
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands.,Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| |
Collapse
|
8
|
Singla V, Dawadi K, Singh T, Prabhakar N, Srinivasan R, Suri V, Khandelwal N. Multiparametric MRI Evaluation of Complex Ovarian Masses. Curr Probl Diagn Radiol 2019; 50:34-40. [PMID: 31399230 DOI: 10.1067/j.cpradiol.2019.07.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 07/04/2019] [Accepted: 07/08/2019] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To assess the role of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in the categorization of complex ovarian masses into benign and malignant. MATERIALS AND METHODS This prospective study was done on 33 complex ovarian masses. T1 and T2-weighted sequences, diffusion-weighted imaging, apparent diffusion coefficient, and dynamic contrast-enhanced magnetic resonance imaging were performed on 1.5 T MRI. Time-intensity curves, tissue signal intensity on unenhanced T1 images (SI0), maximum absolute contrast enhancement (SImax), time to reach SImax (Tmax), maximum relative SI (SIrel = [SImax - SI0]/SI0 ×100), maximum Slope (Slopemax = SIrel/Tmax ×100), and wash in rate (WIR = [SImax - SI0]/Tmax) were calculated. Histopathological diagnosis was taken as gold standard. RESULTS A total of 20/33 masses were benign, 2/33 were borderline tumors, and 11/33 were malignant. Diffusion restriction was seen in all malignant masses and 13/20 benign masses. The mean apparent diffusion coefficient values showed a significant difference between malignant and benign, with 81.8% sensitivity and 63.6% specificity. Type III curve showed 100% specificity for malignant lesions. Tmax and Slopemax were useful in differentiating benign and malignant masses; with Tmax cut-off at 73.5 seconds having a high specificity (81.8%) and Slopemax cut-off at 0.83%/s having high sensitivity (91%) and negative predictive value (94.4%). CONCLUSION Multiparametric MRI confers high diagnostic accuracy in stratifying complex ovarian masses.
Collapse
Affiliation(s)
- Veenu Singla
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India.
| | - Kapil Dawadi
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| | - Tulika Singh
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| | - Nidhi Prabhakar
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| | - Radhika Srinivasan
- Department of Cytology and Gynaecological Pathology, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| | - Vanita Suri
- Department of Obstetrics and Gynaecology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Niranjan Khandelwal
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| |
Collapse
|
9
|
Rockall AG, Qureshi M, Papadopoulou I, Saso S, Butterfield N, Thomassin-Naggara I, Farthing A, Smith JR, Bharwani N. Role of Imaging in Fertility-sparing Treatment of Gynecologic Malignancies. Radiographics 2017; 36:2214-2233. [PMID: 27831834 DOI: 10.1148/rg.2016150254] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Treatments for gynecologic cancer usually result in loss of fertility due to surgery or radical radiation therapy in the pelvis. In countries with an established screening program for cervical cancer, the majority of gynecologic malignancies occur in postmenopausal women. However, a substantial number of affected women are of childbearing age and have not completed their families. In these younger women, consideration of fertility preservation may be important. This article describes the fertility-sparing treatment options that are currently available and outlines the role of imaging in the selection of eligible patients on the basis of a review of the literature. In the setting of cervical cancer, magnetic resonance (MR) imaging is used to delineate the size, position, and stage of the tumor for selection of patients who are suitable for radical trachelectomy. In patients with solitary complex adnexal masses, diffusion- and perfusion-weighted MR imaging sequences are used to categorize the likelihood of invasive or borderline malignancy for consideration of unilateral ovarian resection, with fertility preservation when possible. In patients with endometrial cancer, MR imaging is used to rule out signs of invasive disease before hormone therapy is considered. Imaging is also used at patient follow-up to detect recurrent disease; however, evidence to support this application is limited. In conclusion, imaging is an essential tool in the care of patients with gynecologic malignancies who are considering fertility-preserving treatment options. ©RSNA, 2016.
Collapse
Affiliation(s)
- Andrea G Rockall
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| | - Mahrukh Qureshi
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| | - Ioanna Papadopoulou
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| | - Srdjan Saso
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| | - Nicholas Butterfield
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| | - Isabelle Thomassin-Naggara
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| | - Alan Farthing
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| | - J Richard Smith
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| | - Nishat Bharwani
- From the Department of Radiology, Hammersmith Hospital (A.G.R.), and Faculty of Medicine, Department of Surgery and Cancer (A.G.R., N. Bharwani), Imperial College London, England; Department of Radiology, Royal Free NHS Trust, London, England (M.Q.); Departments of Radiology (I.P., N. Butterfield, N. Bharwani), Surgery (S.S.), and Gynecology (A.F., J.R.S.), Imperial College Healthcare NHS Trust, London, England; and Department of Radiology, Université Pierre et Marie Curie, APHP, HUEP, Hôpital Tenon, Paris, France (I.T.N.)
| |
Collapse
|
10
|
Yuan SJ, Qiao TK, Qiang JW, Cai SQ, Li RK. The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas. J Ovarian Res 2017; 10:65. [PMID: 28950890 PMCID: PMC5615469 DOI: 10.1186/s13048-017-0362-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Accepted: 09/19/2017] [Indexed: 12/25/2022] Open
Abstract
Background To investigate dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) for assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas (EOCs). Methods 7,12-dimethylbenz[A]anthracene (DMBA) was applied to induce EOCs in situ in 46 SD rats. Conventional MRI and DCE-MRI were performed to evaluate the morphology and perfusion features of the tumors, including the time-signal intensity curve (TIC), volume transfer constant (Ktrans), rate constant (Kep), extravascular extracellular space volume ratio (Ve) and initial area under the curve (IAUC). DCE-MRI parameters were correlated with histological grade, microvascular density (MVD), vascular endothelial growth factor (VEGF) and fraction of Ki67-positive cells and the serum level of cancer antigen 125 (CA125). Results Thirty-five of the 46 rats developed EOCs. DCE-MRI showed type III TIC more frequently than type II (29/35 vs. 6/35, p < 0.001) in EOCs. The two types of TIC of tumors had significant differences in the histological grade, MVD, expression of VEGF and Ki67, and the serum level of CA125 (all p < 0.01). Ktrans, Kep and IAUC values showed significant differences in different histological grades in overall and pairwise comparisons except for IAUC in grade 2 vs. grade 3 (all p < 0.01). There was no significant difference in Ve values among the three grade groups (p > 0.05). Ktrans, Kep and IAUC values were positively correlated with MVD, VEGF and Ki67 expression (all p < 0.01). Ve was not significantly correlated with MVD, VEGF expression, Ki67 expression and the CA125 level (all p > 0.05). Conclusions TIC types and perfusion parameters of DCE-MRI can reflect tumor grade, angiogenesis and cell proliferation to some extent, thereby helping treatment planning and predicting prognosis.
Collapse
Affiliation(s)
- Su Juan Yuan
- Department of Oncology, Jinshan Hospital, Shanghai Medical College, Fudan University, 1508 Longhang Road, Shanghai, 201508, People's Republic of China
| | - Tian Kui Qiao
- Department of Oncology, Jinshan Hospital, Shanghai Medical College, Fudan University, 1508 Longhang Road, Shanghai, 201508, People's Republic of China
| | - Jin Wei Qiang
- Department of Radiology, Jinshan Hospital, Shanghai Medical College, Fudan University, 1508 Longhang Road, Shanghai, 201508, People's Republic of China.
| | - Song Qi Cai
- Department of Radiology, Zhongshan Hospital, Shanghai Medical College, Fudan University, 180 Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Ruo Kun Li
- Department of Radiology, Jinshan Hospital, Shanghai Medical College, Fudan University, 1508 Longhang Road, Shanghai, 201508, People's Republic of China
| |
Collapse
|
11
|
Fathi Kazerooni A, Nabil M, Haghighat Khah H, Parviz S, Gity M, Saligheh Rad H. A one-step biomarker quantification methodology for DCE-MRI of adnexal masses: Capturing kinetic pattern from early to late enhancement. Magn Reson Med 2017; 79:1165-1171. [DOI: 10.1002/mrm.26743] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 03/31/2017] [Accepted: 04/12/2017] [Indexed: 12/13/2022]
Affiliation(s)
- Anahita Fathi Kazerooni
- Quantitative MR Imaging and Spectroscopy Group; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences; Tehran Iran
- Department of Medical Physics and Biomedical Engineering; School of Medicine, Tehran University of Medical Sciences; Tehran Iran
| | - Mahnaz Nabil
- Department of Statistics; Faculty of Mathematical Sciences, University of Guilan; Rasht Iran
| | - Hamidreza Haghighat Khah
- Department of Diagnostic Imaging; Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences; Tehran Iran
| | - Sara Parviz
- Advanced Diagnostic and Interventional Radiology Research Center; Tehran University of Medical Sciences; Tehran Iran
| | - Masoumeh Gity
- Advanced Diagnostic and Interventional Radiology Research Center; Tehran University of Medical Sciences; Tehran Iran
- Department of Radiology; Medical Imaging Center, Tehran University of Medical Sciences; Tehran Iran
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences; Tehran Iran
- Department of Medical Physics and Biomedical Engineering; School of Medicine, Tehran University of Medical Sciences; Tehran Iran
| |
Collapse
|
12
|
Masch WR, Daye D, Lee SI. MR Imaging for Incidental Adnexal Mass Characterization. Magn Reson Imaging Clin N Am 2017; 25:521-543. [PMID: 28668158 DOI: 10.1016/j.mric.2017.03.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Incidentally detected adnexal masses are common, and the overwhelming majority of them are benign. As many of these adnexal masses are considered indeterminate at CT or US, a large number of benign oophorectomies occur. Of the malignant adnexal masses, high-grade primary ovarian neoplasms with fast doubling times and early dissemination are the most common. Due to their aggressive behavior, diagnosis of malignancy by interval growth on surveillance imaging represents an undesirable option. Immediate MR characterization allows for a decreased rate of benign oophorectomies and expedited triage of patients to definitive treatment when malignancy is suspected.
Collapse
Affiliation(s)
- William R Masch
- Department of Radiology, University of Michigan Health System, UH B2A205G, 1500 East Medical Center Drive, SPC 5030, Ann Arbor, MI 48109, USA.
| | - Dania Daye
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA
| | - Susanna I Lee
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA
| |
Collapse
|
13
|
Li HM, Qiang JW, Ma FH, Zhao SH. The value of dynamic contrast-enhanced MRI in characterizing complex ovarian tumors. J Ovarian Res 2017; 10:4. [PMID: 28088245 PMCID: PMC5237560 DOI: 10.1186/s13048-017-0302-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 01/06/2017] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The study aimed to investigate the utility of dynamic contrast enhanced MRI (DCE-MRI) in the differentiation of malignant, borderline, and benign complex ovarian tumors. METHODS DCE-MRI data of 102 consecutive complex ovarian tumors (benign 15, borderline 16, and malignant 71), confirmed by surgery and histopathology, were analyzed retrospectively. The patterns (I, II, and III) of time-signal intensity curve (TIC) and three semi-quantitative parameters, including enhancement amplitude (EA), maximal slope (MS), and time of half rising (THR), were evaluated and compared among benign, borderline, and malignant ovarian tumors. The types of TIC were compared by Pearson Chi-square χ 2 between malignant and benign, borderline tumors. The mean values of EA, MS, and THR were compared using one-way ANOVA or nonparametric Kruskal-Wallis test. RESULTS Fifty-nine of 71 (83%) malignant tumors showed a type-III TIC; 9 of 16 (56%) borderline tumors showed a type-II TIC, and 10 of 15 (67%) benign tumors showed a type-II TIC, with a statistically significant difference between malignant and benign tumors (P < 0.001) and between malignant and borderline tumors (P < 0.001). MS was significantly higher in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.013, respectively). THR was significantly lower in malignant tumors than in benign tumors and in borderline than in benign tumors (P < 0.001, P = 0.007, respectively). There was no statistically significant difference between malignant and borderline tumors in MS and THR (P = 0.19, 0.153) or among malignant, borderline, and benign tumors in EA (all P > 0.05). CONCLUSIONS DCE-MRI is helpful for characterizing complex ovarian tumors; however, semi-quantitative parameters perform poorly when distinguishing malignant from borderline tumors.
Collapse
Affiliation(s)
- Hai-Ming Li
- Department of Radiology, Jinshan Hospital, Shanghai Medical College, Fudan University, 1508 Longhang Road, Shanghai, 201508, China.,Department of Radiology, Nantong Cancer Hospital, Nantong University, Nantong, Jiangsu, 226361, China
| | - Jin-Wei Qiang
- Department of Radiology, Jinshan Hospital, Shanghai Medical College, Fudan University, 1508 Longhang Road, Shanghai, 201508, China.
| | - Feng-Hua Ma
- Department of Radiology, Obstetrics & Gynecology Hospital, Shanghai Medical College, Fudan University, Shanghai, 200011, China
| | - Shu-Hui Zhao
- Department of Radiology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, 1665 Kongjiang Road, Shanghai, 2000092, China
| |
Collapse
|
14
|
Kazerooni AF, Malek M, Haghighatkhah H, Parviz S, Nabil M, Torbati L, Assili S, Saligheh Rad H, Gity M. Semiquantitative dynamic contrast-enhanced MRI for accurate classification of complex adnexal masses. J Magn Reson Imaging 2016; 45:418-427. [DOI: 10.1002/jmri.25359] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2016] [Accepted: 06/10/2016] [Indexed: 12/12/2022] Open
Affiliation(s)
- Anahita Fathi Kazerooni
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences; Iran
- Department of Medical Physics and Biomedical Engineering; School of Medicine, Tehran University of Medical Sciences; Iran
| | - Mahrooz Malek
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR); Tehran University of Medical Sciences; Tehran Iran
- Department of Radiology; Medical Imaging Center, Tehran University of Medical Sciences; Tehran Iran
| | - Hamidreza Haghighatkhah
- Department of Diagnostic Imaging; Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences; Tehran Iran
| | - Sara Parviz
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR); Tehran University of Medical Sciences; Tehran Iran
| | - Mahnaz Nabil
- Department of Mathematics; Islamic Azad University, Qazvin Branch; Qazvin Iran
| | - Leila Torbati
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR); Tehran University of Medical Sciences; Tehran Iran
| | - Sanam Assili
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences; Iran
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences; Iran
- Department of Medical Physics and Biomedical Engineering; School of Medicine, Tehran University of Medical Sciences; Iran
| | - Masoumeh Gity
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR); Tehran University of Medical Sciences; Tehran Iran
- Department of Radiology; Medical Imaging Center, Tehran University of Medical Sciences; Tehran Iran
| |
Collapse
|
15
|
Sharma SK, Nemieboka B, Sala E, Lewis JS, Zeglis BM. Molecular Imaging of Ovarian Cancer. J Nucl Med 2016; 57:827-33. [PMID: 27127223 DOI: 10.2967/jnumed.115.172023] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Accepted: 04/14/2016] [Indexed: 01/03/2023] Open
Abstract
Ovarian cancer is the most lethal gynecologic malignancy and the fifth leading cause of cancer-related death in women. Over the past decade, medical imaging has played an increasingly valuable role in the diagnosis, staging, and treatment planning of the disease. In this "Focus on Molecular Imaging" review, we seek to provide a brief yet informative survey of the current state of the molecular imaging of ovarian cancer. The article is divided into sections according to modality, covering recent advances in the MR, PET, SPECT, ultrasound, and optical imaging of ovarian cancer. Although primary emphasis is given to clinical studies, preclinical investigations that are particularly innovative and promising are discussed as well. Ultimately, we are hopeful that the combination of technologic innovations, novel imaging probes, and further integration of imaging into clinical protocols will lead to significant improvements in the survival rate for ovarian cancer.
Collapse
Affiliation(s)
- Sai Kiran Sharma
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York Program in Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Brandon Nemieboka
- Tri-Institutional MD-PhD Program, New York, New York Gerstner Sloan Kettering Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Evis Sala
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York Departments of Radiology and Pharmacology, Weill Cornell Medical College, New York, New York
| | - Jason S Lewis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York Program in Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York Gerstner Sloan Kettering Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, New York Departments of Radiology and Pharmacology, Weill Cornell Medical College, New York, New York
| | - Brian M Zeglis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York Departments of Radiology and Pharmacology, Weill Cornell Medical College, New York, New York Department of Chemistry, Hunter College of City University of New York, New York, New York; and Graduate Center of City University of New York, New York, New York
| |
Collapse
|
16
|
|