1
|
Skipar K, Hompland T, Lund KV, Lindemann K, Hellebust TP, Bruheim K, Lyng H. MRI-guided dynamic risk assessment in cervical cancer based on tumor hypoxia at diagnosis and volume response at brachytherapy. Radiother Oncol 2024; 195:110263. [PMID: 38556173 DOI: 10.1016/j.radonc.2024.110263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/21/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND AND PURPOSE Improvements in treatment outcome for patients with locally advanced cervical cancer (LACC) require a better classification of patients according to their risk of recurrence. We investigated whether an imaging-based approach, combining pretreatment hypoxia and tumor response during therapy, could improve risk classification. MATERIAL AND METHODS Ninety-three LACC patients with T2-weigthed (T2W)-, dynamic contrast enhanced (DCE)- and diffusion weighted (DW)-magnetic resonance (MR) images acquired before treatment, and T2W- and, for 64 patients, DW-MR images, acquired at brachytherapy, were collected. Pretreatment hypoxic fraction (HFpre) was determined from DCE- and DW-MR images using the consumption and supply-based hypoxia (CSH)-imaging method. Volume regression at brachytherapy was assessed from T2W-MR images and combined with HFpre. In 17 patients with adequate DW-MR images at brachytherapy, the apparent diffusion coefficient (ADC), reflecting tumor cell density, was calculated. Change in ADC during therapy was combined with volume regression yielding functional regression as explorative response measure. Endpoint was disease free survival (DFS). RESULTS HFpre was the strongest predictor of DFS, but a significant correlation with outcome was found also for volume regression. The combination of HFpre and volume regression showed a stronger association with DFS than HFpre alone. Patients with disease recurrence were selected to either the intermediate- or high-risk group with a 100 % accuracy. Functional regression showed a stronger correlation to HFpre than volume regression. CONCLUSION The combination of pretreatment hypoxia and volume regression at brachytherapy improved patient risk classification. Integration of ADC with volume regression showed promise as a new tumor response parameter.
Collapse
Affiliation(s)
- Kjersti Skipar
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Oncology, Telemark Hospital Trust, Skien, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Tord Hompland
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway
| | - Kjersti V Lund
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristina Lindemann
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Gynecological Oncology, Oslo University Hospital, Oslo, Norway
| | - Taran P Hellebust
- Department of Medical Physics, Oslo University Hospital, Oslo, Norway
| | - Kjersti Bruheim
- Department of Oncology, Oslo University Hospital, Oslo, Norway
| | - Heidi Lyng
- Department of Radiation Biology, Oslo University Hospital, Oslo, Norway; Department of Physics, University of Oslo, Oslo, Norway.
| |
Collapse
|
2
|
Cheng JM, Luo WX, Tan BG, Pan J, Zhou HY, Chen TW. Whole-tumor histogram analysis of apparent diffusion coefficients for predicting lymphovascular space invasion in stage IB-IIA cervical cancer. Front Oncol 2023; 13:1206659. [PMID: 37404753 PMCID: PMC10315646 DOI: 10.3389/fonc.2023.1206659] [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: 04/16/2023] [Accepted: 06/01/2023] [Indexed: 07/06/2023] Open
Abstract
Objectives To investigate the value of apparent diffusion coefficient (ADC) histogram analysis based on whole tumor volume for the preoperative prediction of lymphovascular space invasion (LVSI) in patients with stage IB-IIA cervical cancer. Methods Fifty consecutive patients with stage IB-IIA cervical cancer were stratified into LVSI-positive (n = 24) and LVSI-negative (n = 26) groups according to the postoperative pathology. All patients underwent pelvic 3.0T diffusion-weighted imaging with b-values of 50 and 800 s/mm2 preoperatively. Whole-tumor ADC histogram analysis was performed. Differences in the clinical characteristics, conventional magnetic resonance imaging (MRI) features, and ADC histogram parameters between the two groups were analyzed. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of ADC histogram parameters in predicting LVSI. Results ADCmax, ADCrange, ADC90, ADC95, and ADC99 were significantly lower in the LVSI-positive group than in the LVSI-negative group (all P-values < 0.05), whereas no significant differences were reported for the remaining ADC parameters, clinical characteristics, and conventional MRI features between the groups (all P-values > 0.05). For predicting LVSI in stage IB-IIA cervical cancer, a cutoff ADCmax of 1.75×10-3 mm2/s achieved the largest area under ROC curve (Az) of 0.750, followed by a cutoff ADCrange of 1.36×10-3 mm2/s and ADC99 of 1.75×10-3 mm2/s (Az = 0.748 and 0.729, respectively), and the cutoff ADC90 and ADC95 achieved an Az of <0.70. Conclusion Whole-tumor ADC histogram analysis has potential value for preoperative prediction of LVSI in patients with stage IB-IIA cervical cancer. ADCmax, ADCrange, and ADC99 are promising prediction parameters.
Collapse
Affiliation(s)
- Jin-mei Cheng
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Wei-xiao Luo
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Bang-guo Tan
- Department of Radiology, Panzhihua Central Hospital, Panzhihua, Sichuan, China
| | - Jian Pan
- Department of General Practice, Taiping Town Central Health Center, Leshan, Sichuan, China
| | - Hai-ying Zhou
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Tian-wu Chen
- Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| |
Collapse
|
3
|
Takada A, Yokota H, Nemoto MW, Horikoshi T, Matsumoto K, Habu Y, Usui H, Nasu K, Shozu M, Uno T. Prognosis prediction of uterine cervical cancer using changes in the histogram and texture features of apparent diffusion coefficient during definitive chemoradiotherapy. PLoS One 2023; 18:e0282710. [PMID: 37000854 PMCID: PMC10065283 DOI: 10.1371/journal.pone.0282710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 02/21/2023] [Indexed: 04/03/2023] Open
Abstract
OBJECTIVES We investigated prospectively whether, in cervical cancer (CC) treated with concurrent chemoradiotherapy (CCRT), the Apparent diffusion coefficient (ADC) histogram and texture parameters and their change rates during treatment could predict prognosis. METHODS Fifty-seven CC patients treated with CCRT at our institution were included. They underwent MRI scans up to four times during the treatment course (1st, before treatment [n = 41], 2nd, at the start of image-guided brachytherapy (IGBT) [n = 41], 3rd, in the middle of IGBT [n = 27], 4th, after treatment [n = 53]). The entire tumor was manually set as the volume of interest (VOI) manually in the axial images of the ADC map by two radiologists. A total of 107 image features (morphology features 14, histogram features 18, texture features 75) were extracted from the VOI. The recurrence prediction values of the features and their change rates were evaluated by Receiver operating characteristics (ROC) analysis. The presence or absence of local and distant recurrence within two years was set as an outcome. The intraclass correlation coefficient (ICC) was also calculated. RESULTS The change rates in kurtosis between the 1st and 3rd, and 1st and 2nd MRIs, and the change rate in grey level co-occurrence matrix_cluster shade between the 2nd and 3rd MRIs showed particularly high predictive powers (area under the ROC curve = 0.785, 0.759, and 0.750, respectively), which exceeded the predictive abilities of the parameters obtained from pre- or post-treatment MRI only. The change rate in kurtosis between the 1st and 2nd MRIs had good reliability (ICC = 0.765). CONCLUSIONS The change rate in ADC kurtosis between the 1st and 2nd MRIs was the most reliable parameter, enabling us to predict prognosis early in the treatment course.
Collapse
Affiliation(s)
- Akiyo Takada
- Department of Radiology, Chiba University Hospital, Chiba, Japan
- * E-mail:
| | - Hajime Yokota
- Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Miho Watanabe Nemoto
- Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takuro Horikoshi
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Koji Matsumoto
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Yuji Habu
- Department of Reproductive Medicine, Obstetrics and Gynecology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Hirokazu Usui
- Department of Reproductive Medicine, Obstetrics and Gynecology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Katsuhiro Nasu
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Makio Shozu
- Department of Reproductive Medicine, Obstetrics and Gynecology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takashi Uno
- Department of Diagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| |
Collapse
|
4
|
Wong KL, Cheng KH, Lam SK, Liu C, Cai J. Review of functional magnetic resonance imaging in the assessment of nasopharyngeal carcinoma treatment response. PRECISION RADIATION ONCOLOGY 2022. [DOI: 10.1002/pro6.1161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Kwun Lam Wong
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
- Department of Radiotherapy Hong Kong Sanatorium & Hospital HKSH Medical Group Hong Kong SAR People's Republic of China
| | - Ka Hei Cheng
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
| | - Sai Kit Lam
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
| | - Chenyang Liu
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
| | - Jing Cai
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
| |
Collapse
|
5
|
Harry VN, Persad S, Bassaw B, Parkin D. Diffusion-weighted MRI to detect early response to chemoradiation in cervical cancer: A systematic review and meta-analysis. Gynecol Oncol Rep 2021; 38:100883. [PMID: 34926764 PMCID: PMC8651768 DOI: 10.1016/j.gore.2021.100883] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/26/2021] [Accepted: 10/11/2021] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE Diffusion-weighted magnetic resonance imaging (DWI) has shown promise in predicting response to therapy in several malignancies. This systematic review and meta-analysis aimed to evaluate DWI in the prediction of response to treatment in patients with cervical cancer. METHODS A systematic search was conducted on PubMed, Web of Science, Cochrane and Google Scholar databases Studies that evaluated DWI and apparent diffusion coefficient (ADC) for response evaluation before, during and after treatment with a correlation to conventional response criteria were included. The primary endpoint was the mean ADC values of cervical cancer at these timepoints. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) was used to assess the quality of the studies. RESULTS Nine studies, comprising 270 patients, were included. Pre-treatment ADC values showed no correlation with eventual response. However, in our meta-analysis, there was a significant correlation with early treatment ADC values obtained within the first 3 weeks of therapy and response, as well as a significant correlation with the percentage change in ADC (ΔADC) and response. In addition, the pooled mean ΔADC percentage was also significantly higher in responders than in non-responders (49.7% vs 19.7%, respectively, p = 0.016). CONCLUSION DWI shows potential as a biomarker of early treatment response in patients with cervical carcinoma. Use of the change in ADC particularly within the first 3 weeks of therapy seems to be predictive of response and may serve as a suitable marker in the determination of early response.
Collapse
Affiliation(s)
- Vanessa N Harry
- Faculty of Medical Sciences, University of the West Indies, St Augustine, Trinidad and Tobago
| | - Sunil Persad
- Faculty of Medical Sciences, University of the West Indies, St Augustine, Trinidad and Tobago
| | - Bharat Bassaw
- Faculty of Medical Sciences, University of the West Indies, St Augustine, Trinidad and Tobago
| | - David Parkin
- Department of Gynecological Oncology, NHS Grampian, UK
| |
Collapse
|
6
|
Min LA, Ackermans LLGC, Nowee ME, Griethuysen JJWV, Roberti S, Maas M, Vogel WV, Beets-Tan RGH, Lambregts DMJ. Pre-treatment prediction of early response to chemoradiotherapy by quantitative analysis of baseline staging FDG-PET/CT and MRI in locally advanced cervical cancer. Acta Radiol 2021; 62:940-948. [PMID: 32722967 DOI: 10.1177/0284185120943046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Early prediction of response to concurrent chemoradiotherapy (cCRT) could aid to further optimize treatment regimens for locally advanced cervical cancer (LACC) in the future. PURPOSE To explore whether quantitative parameters from baseline (pre-therapy) magnetic resonance imaging (MRI) and FDG-PET/computed tomography (CT) have potential as predictors of early response to cCRT. MATERIAL AND METHODS Forty-six patients with LACC undergoing cCRT after staging with FDG-PET/CT and MRI were retrospectively analyzed. Primary tumor volumes were delineated on FDG-PET/CT, T2-weighted (T2W)-MRI and diffusion-weighted MRI (DWI) to extract the following quantitative parameters: T2W volume; T2W signalmean; DWI volume; ADCmean; ADCSD; MTV42%; and SUVmax. Outcome was the early treatment response, defined as the residual tumor volume on MRI 3-4 weeks after start of external beam radiotherapy with chemotherapy (before the start of brachytherapy): patients with a residual tumor volume <10 cm3 were classified as early responders. Imaging parameters were analyzed together with FIGO stage to assess their performance to predict early response, using multivariable logistic regression analysis with bi-directional variable selection. Leave-one-out cross-validation with bootstrapping was used to simulate performance in a new, independent dataset. RESULTS T2W volume (OR 0.94, P = 0.003) and SUVmax (OR 1.15, P = 0.18) were identified as independent predictors in multivariable analysis, rendering a model with an AUC of 0.82 in the original dataset, and AUC of 0.68 (95% CI 0.41-0.81) from cross-validation. CONCLUSION Although the predictive performance achieved in this small exploratory dataset was limited, these preliminary data suggest that parameters from baseline MRI and FDG-PET/CT (in particular pre-therapy tumor volume) may contribute to prediction of early response to cCRT in cervical cancer.
Collapse
Affiliation(s)
- Lisa A Min
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology – University of Maastricht, Maastricht, The Netherlands
| | - Leanne LGC Ackermans
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marlies E Nowee
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Joost JW van Griethuysen
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology – University of Maastricht, Maastricht, The Netherlands
| | - Sander Roberti
- Department of Epidemiology and Biostatistics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Wouter V Vogel
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina GH Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Developmental Biology – University of Maastricht, Maastricht, The Netherlands
| | - Doenja MJ Lambregts
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| |
Collapse
|
7
|
Gui B, Autorino R, Miccò M, Nardangeli A, Pesce A, Lenkowicz J, Cusumano D, Russo L, Persiani S, Boldrini L, Dinapoli N, Macchia G, Sallustio G, Gambacorta MA, Ferrandina G, Manfredi R, Valentini V, Scambia G. Pretreatment MRI Radiomics Based Response Prediction Model in Locally Advanced Cervical Cancer. Diagnostics (Basel) 2021; 11:diagnostics11040631. [PMID: 33807494 PMCID: PMC8066099 DOI: 10.3390/diagnostics11040631] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/25/2021] [Accepted: 03/27/2021] [Indexed: 02/07/2023] Open
Abstract
The aim of this study was to create a radiomics model for Locally Advanced Cervical Cancer (LACC) patients to predict pathological complete response (pCR) after neoadjuvant chemoradiotherapy (NACRT) analysing T2-weighted 1.5 T magnetic resonance imaging (MRI) acquired before treatment start. Patients with LACC and an International Federation of Gynecology and Obstetrics stage from IB2 to IVA at diagnosis were retrospectively enrolled for this study. All patients underwent NACRT, followed by radical surgery; pCR―assessed on surgical specimen―was defined as absence of any residual tumour. Finally, 1889 features were extracted from MR images; features showing statistical significance in predicting pCR at the univariate analysis were selected following an iterative method, which was ad-hoc developed for this study. Based on this method, 15 different classifiers were trained considering the most significant features selected. Model selection was carried out using the area under the receiver operating characteristic curve (AUC) as target metrics. One hundred eighty-three patients from two institutions were analysed. The model, showing the highest performance with an AUC of 0.80, was the random forest method initialised with default parameters. Radiomics appeared to be a reliable tool in pCR prediction for LACC patients undergoing NACRT, supporting the identification of patient risk groups, which paves treatment pathways tailored according to the predicted outcome.
Collapse
Affiliation(s)
- Benedetta Gui
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
| | - Rosa Autorino
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
| | - Maura Miccò
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
| | - Alessia Nardangeli
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
- Correspondence:
| | - Adele Pesce
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.P.); (L.R.); (S.P.)
| | - Jacopo Lenkowicz
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
| | - Davide Cusumano
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
| | - Luca Russo
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.P.); (L.R.); (S.P.)
| | - Salvatore Persiani
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.P.); (L.R.); (S.P.)
| | - Luca Boldrini
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
| | - Nicola Dinapoli
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
| | - Gabriella Macchia
- Gemelli Molise Hospital, Università Cattolica del Sacro Cuore, 86100 Campobasso, Italy; (G.M.); (G.S.)
| | - Giuseppina Sallustio
- Gemelli Molise Hospital, Università Cattolica del Sacro Cuore, 86100 Campobasso, Italy; (G.M.); (G.S.)
| | - Maria Antonietta Gambacorta
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.P.); (L.R.); (S.P.)
| | - Gabriella Ferrandina
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.P.); (L.R.); (S.P.)
| | - Riccardo Manfredi
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.P.); (L.R.); (S.P.)
| | - Vincenzo Valentini
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.P.); (L.R.); (S.P.)
| | - Giovanni Scambia
- Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Roma, Italy; (B.G.); (R.A.); (M.M.); (J.L.); (D.C.); (L.B.); (N.D.); (M.A.G.); (G.F.); (R.M.); (V.V.); (G.S.)
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00168 Roma, Italy; (A.P.); (L.R.); (S.P.)
| |
Collapse
|
8
|
van Houdt PJ, Yang Y, van der Heide UA. Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy. Front Oncol 2021; 10:615643. [PMID: 33585242 PMCID: PMC7878523 DOI: 10.3389/fonc.2020.615643] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/08/2020] [Indexed: 12/20/2022] Open
Abstract
MRI-guided radiotherapy systems have the potential to bring two important concepts in modern radiotherapy together: adaptive radiotherapy and biological targeting. Based on frequent anatomical and functional imaging, monitoring the changes that occur in volume, shape as well as biological characteristics, a treatment plan can be updated regularly to accommodate the observed treatment response. For this purpose, quantitative imaging biomarkers need to be identified that show changes early during treatment and predict treatment outcome. This review provides an overview of the current evidence on quantitative MRI measurements during radiotherapy and their potential as an imaging biomarker on MRI-guided radiotherapy systems.
Collapse
Affiliation(s)
- Petra J van Houdt
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Yingli Yang
- Department of Radiation Oncology, University of California, Los Angeles, CA, United States
| | - Uulke A van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| |
Collapse
|
9
|
Muirhead R, Bulte D, Cooke R, Chu KY, Durrant L, Goh V, Jacobs C, Ng SM, Strauss VY, Virdee PS, Qi C, Hawkins MA. A Prospective Study of Diffusion-weighted Magnetic Resonance Imaging as an Early Prognostic Biomarker in Chemoradiotherapy in Squamous Cell Carcinomas of the Anus. Clin Oncol (R Coll Radiol) 2020; 32:874-883. [PMID: 33023818 DOI: 10.1016/j.clon.2020.09.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 07/15/2020] [Accepted: 09/03/2020] [Indexed: 12/11/2022]
Abstract
AIMS The use of diffusion-weighted magnetic resonance imaging (DW-MRI) as a prognostic marker of treatment response would enable early individualisation of treatment. We aimed to quantify the changes in mean apparent diffusion coefficient (ΔADCmean) between a DW-MRI at diagnosis and on fraction 8-10 of chemoradiotherapy (CRT) as a biomarker for cellularity, and correlate these with anal squamous cell carcinoma recurrence. MATERIALS AND METHODS This prospective study recruited patients with localised anal cancer between October 2014 and November 2017. DW-MRI was carried out at diagnosis and after fraction 8-10 of radical CRT. A region of interest was delineated for all primary tumours and any lymph nodes >2 cm on high-resolution T2-weighted images and propagated to the ADC map. Routine clinical follow-up was collected from Nation Health Service electronic systems. RESULTS Twenty-three of 29 recruited patients underwent paired DW-MRI scans. Twenty-six regions of interest were delineated among the 23 evaluable patients. The median (range) tumour volume was 13.6 cm3 (2.8-84.9 cm3). Ten of 23 patients had lesions with ΔADCmean ≤ 20%. With a median follow-up of 41.2 months, four patients either failed to have a complete response to CRT or subsequently relapsed. Three of four patients with disease relapse had lesions demonstrating ΔADCmean <20%, the other patient with persistent disease had ΔADCmean of 20.3%. CONCLUSIONS We demonstrated a potential correlation between patients with ΔADCmean <20% and disease relapse. Further investigation of the prognostic merit of DW-MRI change is needed in larger, prospective cohorts.
Collapse
Affiliation(s)
- R Muirhead
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
| | - D Bulte
- Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - R Cooke
- Radiotherapy Department, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - K-Y Chu
- Radiotherapy Department, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, Oxford, UK
| | - L Durrant
- Radiotherapy Department, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Department of Oncology, CRUK/MRC Oxford Institute for Radiation Oncology, Oxford, UK
| | - V Goh
- Cancer Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - C Jacobs
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - S M Ng
- Oncology Clinical Trials Office, Department of Oncology, University of Oxford, Oxford, UK
| | - V Y Strauss
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - P S Virdee
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - C Qi
- Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK
| | - M A Hawkins
- Radiotherapy Department, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| |
Collapse
|
10
|
Gao S, Du S, Lu Z, Xin J, Gao S, Sun H. Multiparametric PET/MR (PET and MR-IVIM) for the evaluation of early treatment response and prediction of tumor recurrence in patients with locally advanced cervical cancer. Eur Radiol 2019; 30:1191-1201. [PMID: 31493211 DOI: 10.1007/s00330-019-06428-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 07/12/2019] [Accepted: 08/16/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVES To assess the value of 18F-FDG PET and MR-IVIM parameters before and during concurrent chemoradiotherapy (CCRT) for evaluating early treatment response and predicting tumor recurrence in patients with locally advanced cervical cancer (LACC) using a hybrid PET/MR scanner. METHODS Fifty-one patients with LACC underwent pelvic PET/MR scans with an IVIM sequence at two time-points (pretreatment [pre] and midtreatment [mid]). Pre- and mid-PET parameters (SUVmax, MTV, TLG) and IVIM parameters (D, F, D*) and their percentage changes (Δ%SUVmax, Δ%MTV, Δ%TLG, Δ%D, Δ%F, Δ%D*) were calculated. We selected independent imaging parameters and built a combined prediction model incorporating imaging parameters and clinicopathological risk factors. The performance of the combinative evaluation for tumor early shrinkage rates (TESR) and the prediction model for tumor recurrence was assessed. RESULTS Thirty-two patients were classified into the good response (GR) group with TESR ≥ 50%, and 19 patients were categorized into the poor response (PR) group with TESR < 50%. Δ%D (p = 0.013) and Δ%F (p = 0.006) are independently related to TESR with superior combined diagnostic ability (AUC = 0.901). Pre-TLG, Δ%D, and suspicious lymph node metastasis (SLNM) were selected for the construction of the combined prediction model. The model for identifying the patients with high risk of tumor recurrence reached a moderate predictive ability and good stability with c-index of 0.764 (95% CI, 0.672-0.855). CONCLUSION The combined prediction model based on pretreatment PET metabolic parameter (pre-TLG), IVIM-D percentage changes, and LNs status provides great potential to identify the LACC patients with high risk of recurrence at early stage of CCRT. KEY POINTS • PET/MR plus IVIM offers various complementary information for LACC. • IVIM-D and IVIM-F percentage changes are independently related to tumor early shrinkage rates. • The combined prediction model can help identify the LACC patients with high risk of tumor recurrence.
Collapse
Affiliation(s)
- Si Gao
- Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.,Liaoning Provincial Key Laboratory of Medical Imaging, Shenyang, Liaoning, People's Republic of China
| | - Siyao Du
- Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.,Liaoning Provincial Key Laboratory of Medical Imaging, Shenyang, Liaoning, People's Republic of China
| | - Zaiming Lu
- Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China.,Liaoning Provincial Key Laboratory of Medical Imaging, Shenyang, Liaoning, People's Republic of China
| | - Jun Xin
- Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China
| | - Song Gao
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Hongzan Sun
- Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, 110004, Liaoning, People's Republic of China. .,Liaoning Provincial Key Laboratory of Medical Imaging, Shenyang, Liaoning, People's Republic of China.
| |
Collapse
|
11
|
Haldorsen IS, Lura N, Blaakær J, Fischerova D, Werner HMJ. What Is the Role of Imaging at Primary Diagnostic Work-Up in Uterine Cervical Cancer? Curr Oncol Rep 2019; 21:77. [PMID: 31359169 PMCID: PMC6663927 DOI: 10.1007/s11912-019-0824-0] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE OF REVIEW For uterine cervical cancer, the recently revised International Federation of Gynecology and Obstetrics (FIGO) staging system (2018) incorporates imaging and pathology assessments in its staging. In this review we summarize the reported staging performances of conventional and novel imaging methods and provide an overview of promising novel imaging methods relevant for cervical cancer patient care. RECENT FINDINGS Diagnostic imaging during the primary diagnostic work-up is recommended to better assess tumor extent and metastatic disease and is now reflected in the 2018 FIGO stages 3C1 and 3C2 (positive pelvic and/or paraaortic lymph nodes). For pretreatment local staging, imaging by transvaginal or transrectal ultrasound (TVS, TRS) and/or magnetic resonance imaging (MRI) is instrumental to define pelvic tumor extent, including a more accurate assessment of tumor size, stromal invasion depth, and parametrial invasion. In locally advanced cervical cancer, positron emission tomography-computed tomography (PET-CT) or computed tomography (CT) is recommended, since the identification of metastatic lymph nodes and distant metastases has therapeutic consequences. Furthermore, novel imaging techniques offer visualization of microstructural and functional tumor characteristics, reportedly linked to clinical phenotype, thus with a potential for further improving risk stratification and individualization of treatment. Diagnostic imaging by MRI/TVS/TRS and PET-CT/CT is instrumental for pretreatment staging in uterine cervical cancer and guides optimal treatment strategy. Novel imaging techniques may also provide functional biomarkers with potential relevance for developing more targeted treatment strategies in cervical cancer.
Collapse
Affiliation(s)
- Ingfrid S Haldorsen
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, Postbox 7800, 5021, Bergen, Norway.
- Section for Radiology, Department of Clinical Medicine, University of Bergen, 5020, Bergen, Norway.
| | - Njål Lura
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, Postbox 7800, 5021, Bergen, Norway
| | - Jan Blaakær
- Department of Obstetrics and Gynaecology, Odense University Hospital, Odense, Denmark
| | - Daniela Fischerova
- Gynecological Oncology Centre, Department of Obstetrics and Gynaecology, First Faculty of Medicine, Charles University, General University Hospital in Prague, Prague, Czech Republic
| | - Henrica M J Werner
- Department of Obstetrics and Gynaecology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Clinical Science, University of Bergen, 5020, Bergen, Norway
| |
Collapse
|
12
|
Strain elastography as an early predictor of long-term prognosis in patients with locally advanced cervical cancers treated with concurrent chemoradiotherapy. Eur Radiol 2019; 30:471-481. [PMID: 31359126 DOI: 10.1007/s00330-019-06345-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Revised: 06/06/2019] [Accepted: 06/27/2019] [Indexed: 01/02/2023]
Abstract
OBJECTIVE To explore the value of strain elastography as an early predictor of long-term prognosis in patients with locally advanced cervical cancers treated with concurrent chemoradiotherapy (CCRT). METHODS Strain elastography examinations were performed on 45 patients with locally advanced cervical cancers at 3 time points: prior to CCRT, and at 1 and 2 weeks after the start of CCRT. The maximum tumor diameter (Dmax), strain ratio (SR), and their percentage changes (ΔDmax and ΔSR) were calculated to predict long-term prognosis. Based on the results of physical examinations, Papanicolaou test, and pelvic magnetic resonance imaging, we classified patients into two groups: responders (complete remission) and non-responders (sustained disease, recurrence, or death). RESULTS After a median follow-up of 30 months (range, 12-36 months), 36 of 45 (80%) patients were disease free. The Dmax as well as ΔDmax at 2 weeks during CCRT was able to predict the responder outcomes, with an area-under-the-curve (AUC) of 0.733 and 0.731, respectively. Furthermore, significant differences in SR and ΔSR at 1 and 2 weeks during therapy were shown between the responder and non-responder groups (all p < 0.05), and ΔSR at 2 weeks during CCRT presented with the highest AUC (0.91), yielding 88.9% sensitivity and 88.9% specificity with a selected cutoff value. CONCLUSIONS Strain elastography may be useful as an early predictor of long-term outcomes after CCRT for patients with cervical cancer. KEY POINTS • The D maxas well as ΔD maxat 2 weeks during CCRT can predict the responder outcomes. • The elastography parameters (SR and ΔSR) exhibited predictive values of favorable response after therapy initiation. • ΔSR at 2 weeks during CCRT held the best predictive value for the responder outcomes.
Collapse
|
13
|
Ho JC, Fang P, Cardenas CE, Mohamed ASR, Fuller CD, Allen PK, Bhosale PR, Frumovitz MM, Jhingran A, Klopp AH. Volumetric assessment of apparent diffusion coefficient predicts outcome following chemoradiation for cervical cancer. Radiother Oncol 2019; 135:58-64. [PMID: 31015171 DOI: 10.1016/j.radonc.2019.02.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 02/11/2019] [Accepted: 02/13/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE To determine the utility of volumetric diffusion weighted imaging (DWI) compared to other clinical factors for predicting recurrence and survival in cervical cancer patients treated with definitive chemoradiation. METHODS AND MATERIALS We retrospectively studied cervical cancer patients treated with definitive chemoradiation between 2009-2013 at a single institution with a baseline MRI with DWI and 18F-FDG positron emission tomography/computed tomography (FDG-PET) scan. To identify clinical and imaging metrics correlated with survival and recurrence endpoints, variable importance values were calculated from random forest models. To provide clinically relevant threshold values, recursive partitioning analysis dichotomized patients into potential risk groups based on selected metrics. Cox's proportional hazard models assessed the effect of clinical and imaging factors on survival endpoints. RESULTS Ninety-three patients were included in the analysis (median age 50 years). At a median follow-up of 35.6 months, 32 patients (34%) had disease recurrence. In the best multivariate model including clinical and imaging parameters, 90th percentile ADC < 1.917 was the only significantly associated factor with worse progression free survival (PFS). Overall survival, PFS, and distant metastasis free survival (DMFS) were significantly different between patient groups divided on 90th percentile ADC with threshold of 1.917 × 10-3 mm2/s and MRI volume with threshold of 18.9 cc (P = 0.037, P = 0.0002, P = 0.001). High MRI volume and low ADC were associated with worse clinical outcomes. CONCLUSIONS Volumetric 90th percentile ADC value of the primary tumor on pretreatment MRI was a significant predictor of PFS and DMFS in cervical cancer patients, independent of established clinical factors and SUV on FDG-PET.
Collapse
Affiliation(s)
- Jennifer C Ho
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Penny Fang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Carlos E Cardenas
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Abdallah S R Mohamed
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Clifton D Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Pamela K Allen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Priya R Bhosale
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Michael M Frumovitz
- Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Anuja Jhingran
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States
| | - Ann H Klopp
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States.
| |
Collapse
|
14
|
Gu KW, Kim CK, Choi CH, Yoon YC, Park W. Prognostic value of ADC quantification for clinical outcome in uterine cervical cancer treated with concurrent chemoradiotherapy. Eur Radiol 2019; 29:6236-6244. [PMID: 30980126 DOI: 10.1007/s00330-019-06204-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 02/15/2019] [Accepted: 03/26/2019] [Indexed: 01/30/2023]
Abstract
OBJECTIVES To investigate the prognostic value of diffusion-weighted imaging (DWI) in predicting clinical outcome in patients with cervical cancer after concurrent chemoradiotherapy (CCRT). METHODS We enrolled 124 cervical cancer patients who received definitive CCRT and underwent 3 T-MRI before and 1 month after initiating treatment. The mean apparent diffusion coefficient (ADC) value was measured on the tumor and the changes in ADC percentage (ΔADCmean) between the two time points were calculated. The Cox proportion hazard model was used to evaluate the associations between imaging or clinical variables and progression-free survival (PFS), cancer-specific survival (CSS), and overall survival (OS). RESULTS In multivariate analysis, ΔADCmean was the only independent predictor of PFS (hazard ratio [HR] = 0.2379, p = 0.005), CSS (HR = 0.310, p = 0.024), and OS (HR = 0.217, p = 0.002). Squamous cell carcinoma antigen, histology, and pretreatment tumor size were significantly independent predictors of PFS. Tumor size response was significantly independent predictor of CSS and OS. Using the cutoff values of ΔADCmean, the PFS was significantly lower for ΔADCmean < 27.8% (p = 0.001). The CSS and OS were significantly lower for ΔADCmean < 16.1% (p = 0.002 and p < 0.001, respectively). CONCLUSION The percentage change in tumor ADC may be a useful predictor of disease progression and survival in patients with cervical cancer treated with CCRT. KEY POINTS • DWI is widely used as a potential marker of tumor viability. • Percentage change in tumor ADC (ΔADC mean ) was an independent marker of PFS, CSS, and OS. • Survival was better in patients with ≥ ΔADC mean cutoff value than with < the cutoff value.
Collapse
Affiliation(s)
- Kyo-Won Gu
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Chan Kyo Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea. .,Department of Medical Device Management and Research, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea. .,Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
| | - Chel Hun Choi
- Departments of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Young Cheol Yoon
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Won Park
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| |
Collapse
|
15
|
de Boer P, Mandija S, Werensteijn-Honingh AM, van den Berg CAT, de Leeuw AAC, Jürgenliemk-Schulz IM. Cervical cancer apparent diffusion coefficient values during external beam radiotherapy. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2019; 9:77-82. [PMID: 33458429 PMCID: PMC7807732 DOI: 10.1016/j.phro.2019.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 02/28/2019] [Accepted: 03/01/2019] [Indexed: 01/22/2023]
Abstract
Background and purpose Apparent diffusion coefficient (ADC) reflects micro-enviromental changes and therefore might be useful in predicting recurrence prior to brachytherapy. The purpose of this study is to evaluate change in ADC of the primary tumour and pathologic lymph nodes during treatment and to correlate this with clinical outcome. Material and methods Twenty patients were included who received chemoradiation for locally advanced cervical cancer between July 2016 and November 2017. All patients underwent magnetic resonance imaging (MRI) prior to treatment, and three MRIs in weeks 1/2, 3 and 4 of treatment, including T2 and diffusion weighted imaging (b-values 0, 200, 800 s/mm2) for determining an ADC-map. Primary tumour was delineated on T2 and ADC-map and pathologic lymph nodes were delineated only on ADC-map. Results At time of analysis median follow-up was 15 (range 7-22) months. From MRI one to four, primary tumour on ADC-map showed a significant signal increase of 0.94 (range 0.74-1.46) × 10-3 mm2/s to 1.13 (0.98-1.49) × 10-3 mm2/s (p < 0.001). When tumour was delineated on T2, ADC-value signal increase (in tumour according to T2) was similar. All 46 delineated pathologic lymph nodes showed an ADC-value increase on average from 0.79 (range 0.33-1.12) × 10-3 mm2/s to 1.14 (0.59-1.75) × 10-3 mm2/s (p < 0.001). The mean tumour/suspected lymph node volumes decreased respectively 51/40%. Four patients developed relapse (one local and three nodal), without clear relation with ΔADC. However, the median volume decrease of the primary tumour was substantially lower in the failing patients compared to the group without relapse (19 vs. 57%). Conclusions ADC values can be acquired using T2-based tumour delineations unless there are substantial shifts between ADC-mapping and T2 acquisition. It remains plausible that ΔADC is a predictor for response to EBRT. However, the correlation in this study was not statistically significant.
Collapse
Affiliation(s)
- Peter de Boer
- Department of Radiation Oncology, University Medical Centre Utrecht, The Netherlands.,Department of Radiation Oncology, Amsterdam University Medical Centres (Amsterdam UMC) - University of Amsterdam (UvA), The Netherlands
| | - Stefano Mandija
- Centre for Image Sciences, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands
| | | | - Cornelis A T van den Berg
- Centre for Image Sciences, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands
| | - Astrid A C de Leeuw
- Department of Radiation Oncology, University Medical Centre Utrecht, The Netherlands
| | | |
Collapse
|
16
|
Du S, Sun H, Gao S, Xin J, Lu Z, Chen Z, Pan S, Guo Q. Relationship between 18F-FDG PET metabolic parameters and MRI intravoxel incoherent motion (IVIM) histogram parameters and their correlations with clinicopathological features of cervical cancer: evidence from integrated PET/MRI. Clin Radiol 2019; 74:178-186. [DOI: 10.1016/j.crad.2018.11.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 11/09/2018] [Indexed: 12/14/2022]
|
17
|
Qian W, Chen Q, Zhang Z, Wang H, Zhang J, Xu J. Comparison between readout-segmented and single-shot echo-planar imaging in the evaluation of cervical cancer staging. Br J Radiol 2018; 92:20180293. [PMID: 30359094 DOI: 10.1259/bjr.20180293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE: To compare the performance of diffusion-weighted imaging (DWI) based on readout-segmented echo-planar imaging (RESOLVE) and single-shot EPI (SS-EPI) sequence in evaluating cervical cancer staging. METHODS: 61 patients with cervical cancer underwent DWI based on SS-EPI and RESOLVE. Two blinded readers independently assessed two sets of DW images for distinction of anatomical structures, delineation of lesion, susceptibility artefact and overall image quality on a 4-point scale. Geometric distortion was evaluated by measuring lesion anteroposterior (AP) length and left-right (LR) width derived from T2W images and those obtained from the corresponding DW images. Staging of cervical cancer on SS-EPI and RESOLVE were compared with T2WI and gold-standard of pathological findings. RESULTS: RESOLVE was significantly superior to SS-EPI for all four criteria regarding qualitative comparisons (all p < 0.05). Regarding the geometric distortion, AP length on SS-EPI was significantly different from that of T2WI (p < 0.05), whereas there were no significant differences between RESOLVE and T2WI (both p > 0.05). The staging of SS-EPI was overestimated, while RESOLVE had a better consistency with pathological staging than SS-EPI in staging of cervical cancer. There was no significant difference in apparent diffusion coefficient value between SS-EPI and RESOLVE (p < 0.05). CONCLUSION: RESOLVE is superior to SS-EPI in the accuracy of cervical cancer staging because of the improvement in image quality. ADVANCES IN KNOWLEDGE: RESOLVE has a more accurate value comparable to SS-EPI in cervical cancer staging, with the advantage of the improvement in image quality and reduced geometric distortion.
Collapse
Affiliation(s)
- Weiliang Qian
- 1 Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University , Suzhou , People's Republic of China
| | - Qian Chen
- 1 Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University , Suzhou , People's Republic of China
| | - Zhongshuai Zhang
- 2 Diagnosis Imaging, Siemens Healthcare Ltd , Shanghai , Republic of China
| | - Hong Wang
- 1 Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University , Suzhou , People's Republic of China
| | - Jibin Zhang
- 1 Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University , Suzhou , People's Republic of China
| | - Jianming Xu
- 1 Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University , Suzhou , People's Republic of China
| |
Collapse
|
18
|
Chen J, Hua H, Pang J, Shi X, Bi W, Li Y, Xu W. The Value of Diffusion-Weighted Magnetic Resonance Imaging in Predicting the Efficacy of Radiation and Chemotherapy in Cervical Cancer. Open Life Sci 2018; 13:305-311. [PMID: 33817097 PMCID: PMC7874687 DOI: 10.1515/biol-2018-0037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 05/08/2018] [Indexed: 01/22/2023] Open
Abstract
Background To analyze the application value of apparent diffusion coefficient (ADC) and exponent apparent diffusion coefficient (EADC) in evaluating the efficacy of radiation and chemotherapy in cervical cancer using pre- and posttreatment diffusion-weighted magnetic resonance imaging (DW-MRI) scans. Methods 52 patients with cervical cancer were administered radiation and chemotherapy. Both MRI and DW-MRI were obtained at different stages. The ADC and EADC values, as well as the maximum tumor diameter, were measured and analyzed. Results We found that the ADC value increased after treatment, and the EADC value decreased. Changes in the calculated ADC occurred earlier than the morphologic changes of the tumors. A negative correlation was detected between reduced rates in the maximum tumor diameter two months after treatment and pretreatment ADC value (r = –0.658, P < 0.05). An ROC curve and nonlinear regression analysis showed that the formula, y = (1525500.122x2 – 4689.962x + 3.482) × 100%, can be used to calculate the percentage of complete remission after treatment according to the pretreatment ADC value. Conclusion Our data suggest that pretreatment ADC and EADC values are predictive of the efficacy of radiation and chemotherapy. Both ADC and EADC values during treatment were instrumental in early monitoring and dynamic observation.
Collapse
Affiliation(s)
- Jingjing Chen
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Hui Hua
- Department of Thyroid Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Jing Pang
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Xianglong Shi
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Weiqun Bi
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Yingduan Li
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Wenjian Xu
- Department of Radiology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao 266000, Shandong Province, China
| |
Collapse
|
19
|
Qi YX, Liu K, Yin J, Li L. Evaluation of short- and long-term efficacy of chemoradiotherapy for advanced cervical cancer using HSP70 protein combined with multimodal MRI. J Cell Biochem 2017; 119:3017-3029. [PMID: 29023986 DOI: 10.1002/jcb.26424] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 10/10/2017] [Indexed: 01/16/2023]
Abstract
This study aims to evaluate the efficacy of chemoradiotherapy for advanced cervical cancer using heat shock protein 70 (HSP70) combined with multimodal MRI. The protein expressions of HSP70 in biopsy specimens obtained from 101 patients with cervical cancer were detected by immunohistochemistry. Plain MRI scan, DWI, DCE-MR, and MRS were performed before and after a period of 6 months of chemoradiotherapy. All patients were assigned into the complete response (CR) and partial response (PR) groups. HSP70 protein expression, tumor diameter, and tumor volume were lower in the CR group than in the PR group. The rate of tumor shrinkage, relative positive enhancement integral (rPEI), relative maximum slope of decrease (rMSD), relative signal enhancement ratio at 60 s (rSER60 ) and maximum SER (rSERmax ), mean apparent diffusion coefficient (ADCmean ) and minimum ADC value (ADCmin ) values in the CR group were higher than those in the PR group. Tumor diameter and volume, rSER15 and rSER30 were reduced after chemoradiotherapy, while rMSD, rSERmax , time to peak (TTP), ADCmean and ADCmin were higher after the treatment. The receiver operating characteristic (ROC) curves indicated that HSP70 expression, tumor diameter, rPEI, ADCmean and Cho peak showed the better chemoradiotherapy efficacy. Our data demonstrates that HSP70 protein combined with multimodal MRI may accurately evaluate the chemoradiotherapy efficacy of patients with advanced cervical cancer. The recurrence of cervical cancer significantly decreased in patients with negative expression of HSP70 and HSP70 protein detection provides potential therapy for the prevention, diagnosis, and prognosis of cervical cancer.
Collapse
Affiliation(s)
- Yun-Xiang Qi
- Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Kun Liu
- Department of Radiology, Daqing Longnan Hospital, Daqing, P.R. China
| | - Jun Yin
- Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| | - Lu Li
- Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, P.R. China
| |
Collapse
|
20
|
Huang Y, Huang J, Feng M, Ren J, Mi K, Cheng J, Song B, Lang J. Early changes in the apparent diffusion coefficient and MMP-9 expression of a cervical carcinoma U14 allograft model following irradiation. Oncol Lett 2017; 14:6769-6775. [PMID: 29151916 DOI: 10.3892/ol.2017.7035] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Accepted: 07/20/2017] [Indexed: 02/05/2023] Open
Abstract
A cervical carcinoma allograft model was designed to assess the correlation between early changes in the apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DW-MRI) and the expression of matrix metalloproteinase-9 (MMP-9) in tumors. BALB/c mice with U14 tumor allografts on the right rear flank were irradiated with a single 20 Gy dose. All tumor-bearing mice were subjected to DW-MRI, followed by calculation of the ADC values and characterization of the T1 and T2 relaxation time constants. Pre- and post-irradiation ADC values were compared with the tumor volume, and the immunohistochemical staining of MMP-9 and hematoxylin-eosin (HE) staining of tumor allografts. However, no correlations between the pre-treatment ADC values and changes in tumor volumes following irradiation were observed. Notably, the mean ADC value was significantly higher in the irradiated tumors (0.756±0.102×10-3 mm2/sec) as compared with those in the untreated tumors (0.501±0.052×10-3 mm2/sec; P=0.002; r=0.682). Additionally, immunohistochemical staining demonstrated that MMP-9 expression in the irradiated tumors was significantly increased. The mean ADC value was significantly higher in the irradiated tumors with high MMP-9 expression levels (0.815±0.112×10-3 mm2/sec), as compared with in the untreated tumors with low MMP-9 expression levels (0.631±0.068×10-3 mm2/sec). Quantitative analysis determined that the ADC values were correlated with MMP-9 expression (r=0.752; P=0.003). Combined, these results suggest that radiation-induced increases in MMP-9 expression levels may be responsible for early changes in the mean ADC value and the response to irradiation in cervical carcinoma.
Collapse
Affiliation(s)
- Yecai Huang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610041, P.R. China
| | - Jianming Huang
- Department of Biochemistry and Molecular Biology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610041, P.R. China
| | - Mei Feng
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610041, P.R. China
| | - Jing Ren
- Department of Radiology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610041, P.R. China
| | - Kun Mi
- Department of Biochemistry and Molecular Biology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610041, P.R. China
| | - Jia Cheng
- Department of Biochemistry and Molecular Biology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610041, P.R. China
| | - Bing Song
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Jinyi Lang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan 610041, P.R. China
| |
Collapse
|
21
|
Khan SR, Arshad M, Wallitt K, Stewart V, Bharwani N, Barwick TD. What’s New in Imaging for Gynecologic Cancer? Curr Oncol Rep 2017; 19:85. [DOI: 10.1007/s11912-017-0640-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
|
22
|
Meng J, Zhu L, Zhu L, Ge Y, He J, Zhou Z, Yang X. Histogram analysis of apparent diffusion coefficient for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy. Acta Radiol 2017; 58:1400-1408. [PMID: 28273745 DOI: 10.1177/0284185117694509] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background Apparent diffusion coefficient (ADC) histogram analysis has been widely used in determining tumor prognosis. Purpose To investigate the dynamic changes of ADC histogram parameters during concurrent chemo-radiotherapy (CCRT) in patients with advanced cervical cancers. Material and Methods This prospective study enrolled 32 patients with advanced cervical cancers undergoing CCRT who received diffusion-weighted (DW) magnetic resonance imaging (MRI) before CCRT, at the end of the second and fourth week during CCRT and one month after CCRT completion. The ADC histogram for the entire tumor volume was generated, and a series of histogram parameters was obtained. Dynamic changes of those parameters in cervical cancers were investigated as early biomarkers for treatment response. Results All histogram parameters except AUClow showed significant changes during CCRT (all P < 0.05). There were three variable trends involving different parameters. The mode, 5th, 10th, and 25th percentiles showed similar early increase rates (33.33%, 33.99%, 34.12%, and 30.49%, respectively) at the end of the second week of CCRT. The pre-CCRT 5th and 25th percentiles of the complete response (CR) group were significantly lower than those of the partial response (PR) group. Conclusion A series of ADC histogram parameters of cervical cancers changed significantly at the early stage of CCRT, indicating their potential in monitoring early tumor response to therapy.
Collapse
Affiliation(s)
- Jie Meng
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, PR China
| | - Lijing Zhu
- The Comprehensive Cancer Centre of Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, PR China
| | - Li Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, PR China
| | - Yun Ge
- School of Electronic Science and Engineering, Nanjing University, Nanjing, PR China
| | - Jian He
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, PR China
| | - Zhengyang Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, PR China
| | - Xiaofeng Yang
- Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, USA
| |
Collapse
|
23
|
Dappa E, Elger T, Hasenburg A, Düber C, Battista MJ, Hötker AM. The value of advanced MRI techniques in the assessment of cervical cancer: a review. Insights Imaging 2017; 8:471-481. [PMID: 28828723 PMCID: PMC5621992 DOI: 10.1007/s13244-017-0567-0] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Revised: 07/18/2017] [Accepted: 07/18/2017] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES To assess the value of new magnetic resonance imaging (MRI) techniques in cervical cancer. METHODS We searched PubMed and MEDLINE and reviewed articles published from 1990 to 2016 to identify studies that used MRI techniques, such as diffusion weighted imaging (DWI), intravoxel incoherent motion (IVIM) and dynamic contrast enhancement (DCE) MRI, to assess parametric invasion, to detect lymph node metastases, tumour subtype and grading, and to detect and predict tumour recurrence. RESULTS Seventy-nine studies were included. The additional use of DWI improved the accuracy and sensitivity of the evaluation of parametrial extension. Most studies reported improved detection of nodal metastases. Functional MRI techniques have the potential to assess tumour subtypes and tumour grade differentiation, and they showed additional value in detecting and predicting treatment response. Limitations included a lack of technical standardisation, which limits reproducibility. CONCLUSIONS New advanced MRI techniques allow improved analysis of tumour biology and the tumour microenvironment. They can improve TNM staging and show promise for tumour classification and for assessing the risk of tumour recurrence. They may be helpful for developing optimised and personalised therapy for patients with cervical cancer. TEACHING POINTS • Conventional MRI plays a key role in the evaluation of cervical cancer. • DWI improves tumour delineation and detection of nodal metastases in cervical cancer. • Advanced MRI techniques show promise regarding histological grading and subtype differentiation. • Tumour ADC is a potential biomarker for response to treatment.
Collapse
Affiliation(s)
- Evelyn Dappa
- Department of Diagnostic and Interventional Radiology, Johannes Gutenberg-University Medical Centre, Langenbeckstr. 1, 55131, Mainz, Germany.
| | - Tania Elger
- Department of Gynaecology and Obstetrics, Johannes Gutenberg-University Medical Centre, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Annette Hasenburg
- Department of Gynaecology and Obstetrics, Johannes Gutenberg-University Medical Centre, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Christoph Düber
- Department of Diagnostic and Interventional Radiology, Johannes Gutenberg-University Medical Centre, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Marco J Battista
- Department of Gynaecology and Obstetrics, Johannes Gutenberg-University Medical Centre, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Andreas M Hötker
- Department of Diagnostic and Interventional Radiology, Johannes Gutenberg-University Medical Centre, Langenbeckstr. 1, 55131, Mainz, Germany
| |
Collapse
|
24
|
Agreement Between Magnetic Resonance Imaging and Pathologic Findings in the Tumor Size Evaluation Before and After Neoadjuvant Chemotherapy Treatment: A Prospective Study. Int J Gynecol Cancer 2017. [DOI: 10.1097/igc.0000000000001038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
ObjectivesTo compare the agreement between magnetic resonance imaging (MRI) results and postsurgical pathologic findings for tumor size evaluation in cervical cancer patients before and after neoadjuvant chemotherapy (NACT) treatment.MethodsThe study analyzed the agreement between pretreatment MRI results and postsurgical pathologic findings about the tumor size in 100 cervical cancer patients without NACT and 397 cervical cancer patients with NACT, respectively.ResultsIn general, the agreement between pretreatment MRI results and postsurgical pathologic findings of tumor size was 0.855 (95% confidence interval [CI], 0.763–0.909) in cervical cancer patients without NACT, whereas the agreement between posttreatment MRI results and postsurgical pathologic findings was 0.503 (95% CI, 0.421–0.576). Only 62.72% (249/397) of patients who underwent NACT treatment have the same chemotherapy response evaluation results; the κ coefficient was 0.384(95% CI, 0.310–0.457) between posttreatment MRI and postsurgical pathologic findings. We still found International Federation of Gynecology and Obstetrics stage is associated with the chemotherapy response evaluation.ConclusionsOur data suggest that pretreatment MRI can be a surrogate indicator for postsurgical pathologic findings. However, posttreatment MRI could not be a surrogate indicator for postsurgical pathologic findings. The chemotherapy response evaluation based on only MRI is not so reliable. More indicators should be developed for chemotherapy response evaluation.
Collapse
|
25
|
Peng J, Wang W, Zeng D. Application of magnetic resonance imaging in diagnosis of Uterus Cervical Carcinoma. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2017; 25:205-211. [PMID: 28234273 DOI: 10.3233/xst-17254] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
BACKGROUND AND OBJECTIVE Effective treatment of Uterus Cervical Carcinoma (UCC) rely heavily on the precise pre-surgical staging. The conventional International Federation of Gynecology and Obstetrics (FIGO) system based on clinical examination is being applied worldwide for UCC staging. Yet its performance just appears passable. Thus, this study aims to investigate the value of applying Magnetic Resonance Imaging (MRI) with clinical examination in staging of UCC. MATERIALS AND METHODS A retrospective dataset involving 164 patients diagnosed with UCC was enrolled in this study. The mean age of this study population was 46.1 years (range, 28-#x2013;75 years). All patients underwent operations and UCC types were confirmed by pathological examinations. The tumor stages were determined by two experienced Gynecologist independently based on FIGO examinations and MRI. The diagnostic results were also compared with the post-operative pathologic reports. Statistical data analysis on diagnostic performance was then done and reported. RESULTS The study results showed that the overall accuracy of applying MRI in UCC staging was 82.32%, while using FIGO staging method, the staging accuracy was 59.15%. CONCLUSIONS MRI is suitable to evaluate tumor extent with high accuracy, and it can offer more objective information for the diagnosis and staging of UCC. Compared with clinical examinations based on FIGO, MRI illustrated relatively high accuracy in evaluating UCC staging, and is worthwhile to be recommended in future clinical practice.
Collapse
Affiliation(s)
- Jidong Peng
- Department of Radiology, Ganzhou People's Hospital, Jiangxi, China
| | - Weiqiang Wang
- Department of Gynecology, The Northwest Women and Children's Hospital, Xi-an, China
| | - Daohui Zeng
- Department of Radiology, First Affiliated Hospital of Guangzhou University of TCM, Guangzhou, Guangdong, China
| |
Collapse
|
26
|
Ho JC, Allen PK, Bhosale PR, Rauch GM, Fuller CD, Mohamed ASR, Frumovitz M, Jhingran A, Klopp AH. Diffusion-Weighted Magnetic Resonance Imaging as a Predictor of Outcome in Cervical Cancer After Chemoradiation. Int J Radiat Oncol Biol Phys 2016; 97:546-553. [PMID: 28011045 DOI: 10.1016/j.ijrobp.2016.11.015] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2016] [Revised: 10/26/2016] [Accepted: 11/10/2016] [Indexed: 01/16/2023]
Abstract
PURPOSE To determine whether apparent diffusion coefficient (ADC) value is predictive of survival after definitive chemoradiation for cervical cancer independent of established imaging and clinical prognostic factors. METHODS AND MATERIALS Between 2011 and 2013, the pretreatment MRI scans for 69 patients treated with definitive chemoradiation for newly diagnosed cervical cancer were retrieved. Scans were acquired with a 1.5-T magnetic resonance scanner, including diffusion-weighted imaging sequences. Mean ADC value was measured within a region of interest in the primary cervical cancer on the baseline MRI scan. Baseline tumor maximum standardized uptake value on positron emission tomography/computed tomography was determined by the reading radiologist. Treatment included external beam radiation therapy to the pelvis followed by brachytherapy in 97%, and with concurrent weekly cisplatin in 99% of patients. Univariate and multivariate analyses were done to investigate the association of clinical and imaging variables with disease control and survival endpoints using a Cox proportional hazard test. RESULTS Median follow-up was 16.7 months (range, 3.1-44.2 months). The 1-year overall survival, locoregional recurrence-free survival, and disease-free survival rates were 91%, 86%, and 74%, respectively. The median ADC value was 0.941 × 10-3 mm2/s (range, 0.256-1.508 × 10-3 mm2/s). The median standardized uptake value in the primary tumor was 15 (range, 6.2-43.4). In multivariate analysis, higher ADC value (hazard ratio [HR] 0.36, 95% confidence interval [CI] 0.15-0.85, P=.02), higher stage (HR 2.4, 95% CI 1.1-5.5, P=.033), and nonsquamous histology (HR 0.23, 95% CI 0.07-0.82, P=.024) were independent predictors of disease-free survival. CONCLUSIONS The mean ADC value of the primary tumor on pretreatment MRI was the only imaging feature that was an independent predictor of disease-free survival in cervical cancer patients treated with chemoradiation. Further validation will be needed to determine whether ADC values may prove useful in identifying cervical patients at high risk of recurrence.
Collapse
Affiliation(s)
- Jennifer C Ho
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Pamela K Allen
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Priya R Bhosale
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gaiane M Rauch
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Clifton D Fuller
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Abdallah S R Mohamed
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Clinical Oncology and Nuclear Medicine, University of Alexandria, Alexandria, Egypt
| | - Michael Frumovitz
- Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anuja Jhingran
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ann H Klopp
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| |
Collapse
|
27
|
Meng J, Zhu L, Zhu L, Wang H, Liu S, Yan J, Liu B, Guan Y, Ge Y, He J, Zhou Z, Yang X. Apparent diffusion coefficient histogram shape analysis for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy. Radiat Oncol 2016; 11:141. [PMID: 27770816 PMCID: PMC5075415 DOI: 10.1186/s13014-016-0715-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Accepted: 10/13/2016] [Indexed: 12/25/2022] Open
Abstract
Background To explore the role of apparent diffusion coefficient (ADC) histogram shape related parameters in early assessment of treatment response during the concurrent chemo-radiotherapy (CCRT) course of advanced cervical cancers. Methods This prospective study was approved by the local ethics committee and informed consent was obtained from all patients. Thirty-two patients with advanced cervical squamous cell carcinomas underwent diffusion weighted magnetic resonance imaging (b values, 0 and 800 s/mm2) before CCRT, at the end of 2nd and 4th week during CCRT and immediately after CCRT completion. Whole lesion ADC histogram analysis generated several histogram shape related parameters including skewness, kurtosis, s-sDav, width, standard deviation, as well as first-order entropy and second-order entropies. The averaged ADC histograms of 32 patients were generated to visually observe dynamic changes of the histogram shape following CCRT. Results All parameters except width and standard deviation showed significant changes during CCRT (all P < 0.05), and their variation trends fell into four different patterns. Skewness and kurtosis both showed high early decline rate (43.10 %, 48.29 %) at the end of 2nd week of CCRT. All entropies kept decreasing significantly since 2 weeks after CCRT initiated. The shape of averaged ADC histogram also changed obviously following CCRT. Conclusions ADC histogram shape analysis held the potential in monitoring early tumor response in patients with advanced cervical cancers undergoing CCRT.
Collapse
Affiliation(s)
- Jie Meng
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008
| | - Lijing Zhu
- The Comprehensive Cancer Centre of Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008
| | - Li Zhu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008
| | - Huanhuan Wang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008
| | - Song Liu
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008
| | - Jing Yan
- The Comprehensive Cancer Centre of Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008
| | - Baorui Liu
- The Comprehensive Cancer Centre of Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008
| | - Yue Guan
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China, 210046
| | - Yun Ge
- School of Electronic Science and Engineering, Nanjing University, Nanjing, China, 210046.
| | - Jian He
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008.
| | - Zhengyang Zhou
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China, 210008.
| | - Xiaofeng Yang
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
| |
Collapse
|
28
|
Maingon P. Argumentaire clinique pour la radiothérapie guidée par imagerie par résonance magnétique. Cancer Radiother 2016; 20:558-63. [DOI: 10.1016/j.canrad.2016.07.070] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 07/12/2016] [Accepted: 07/13/2016] [Indexed: 11/24/2022]
|
29
|
Onal C, Erbay G, Guler OC. Treatment response evaluation using the mean apparent diffusion coefficient in cervical cancer patients treated with definitive chemoradiotherapy. J Magn Reson Imaging 2016; 44:1010-1019. [DOI: 10.1002/jmri.25215] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023] Open
Affiliation(s)
- Cem Onal
- Department of Radiation Oncology; Baskent University Faculty of Medicine; Adana Turkey
| | - Gurcan Erbay
- Department of Radiology; Baskent University Faculty of Medicine; Ankara Turkey
| | - Ozan C. Guler
- Department of Radiation Oncology; Baskent University Faculty of Medicine; Adana Turkey
| |
Collapse
|
30
|
Baliyan V, Das CJ, Sharma R, Gupta AK. Diffusion weighted imaging: Technique and applications. World J Radiol 2016; 8:785-798. [PMID: 27721941 PMCID: PMC5039674 DOI: 10.4329/wjr.v8.i9.785] [Citation(s) in RCA: 182] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2016] [Revised: 06/11/2016] [Accepted: 08/15/2016] [Indexed: 02/06/2023] Open
Abstract
Diffusion weighted imaging (DWI) is a method of signal contrast generation based on the differences in Brownian motion. DWI is a method to evaluate the molecular function and micro-architecture of the human body. DWI signal contrast can be quantified by apparent diffusion coefficient maps and it acts as a tool for treatment response evaluation and assessment of disease progression. Ability to detect and quantify the anisotropy of diffusion leads to a new paradigm called diffusion tensor imaging (DTI). DTI is a tool for assessment of the organs with highly organised fibre structure. DWI forms an integral part of modern state-of-art magnetic resonance imaging and is indispensable in neuroimaging and oncology. DWI is a field that has been undergoing rapid technical evolution and its applications are increasing every day. This review article provides insights in to the evolution of DWI as a new imaging paradigm and provides a summary of current role of DWI in various disease processes.
Collapse
|
31
|
Bae JM, Kim CK, Park JJ, Park BK. Can diffusion-weighted magnetic resonance imaging predict tumor recurrence of uterine cervical cancer after concurrent chemoradiotherapy? Abdom Radiol (NY) 2016; 41:1604-10. [PMID: 27056747 DOI: 10.1007/s00261-016-0730-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
PURPOSE To retrospectively investigate the utility of diffusion-weighted imaging (DWI) for predicting clinical outcome after concurrent chemoradiotherapy (CCRT) in uterine cervical cancer. MATERIALS AND METHODS Seventy-four consecutive patients with biopsy-proven cervical cancer who received CCRT underwent DWI at 3T. All patients had MR examinations before therapy (preTx) and at 4 weeks of initiating therapy (midTx). At each point, ADC (apparent diffusion coefficient) was measured in the tumors and ADC change between preTx and midTx were also calculated. For predicting tumor recurrence, MR variables and clinical variables were evaluated and the results were compared. RESULTS During a mean follow-up of 32.1 months, tumor recurrence developed in 15 (20%) patients: local recurrence (n = 7), distant metastasis (n = 5), and both (n = 3). MidTx tumor ADCs and tumor ADC changes between preTx and midTx were significantly different between the recurrence and non-recurrence groups (P < 0.05), while preTx tumor ADCs were not significantly different between the groups (P = 0.892). Univariate analysis revealed that histologic type, stage, preTx tumor size and volume, and tumor ADC change were significantly related to tumor recurrence (all P < 0.05). However, on multivariate analysis, tumor ADC changes [hazard ratio (HR) 0.886; 95% confidence interval (CI) 0.836-0.940; P = 0.001] and histological type (HR 6.063; 95% CI 1.404-26.187; P = 0.016) were the significant independent predictors of tumor recurrence. CONCLUSION Tumor ADC changes between preTx and midTx might be a useful biomarker for the prediction of cervical cancer recurrence after CCRT.
Collapse
|
32
|
Qi WX, Zhang Q, Li P, Zhang XM, Zhang GY, Wu B, Lu JJ, Jiang GL, Fu S. The predictive role of ADC values in prostate cancer patients treated with carbon-ion radiotherapy: initial clinical experience at Shanghai Proton and Heavy Ion Center (SPHIC). J Cancer Res Clin Oncol 2016; 142:1361-7. [DOI: 10.1007/s00432-016-2142-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 03/03/2016] [Indexed: 12/13/2022]
|
33
|
Hasan DI, Enaba MM, Abd El-Rahman HM, El-Shazely S. Apparent diffusion coefficient value in evaluating types, stages and histologic grading of cancer cervix. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2015. [DOI: 10.1016/j.ejrnm.2015.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
|
34
|
Bollineni VR, Kramer G, Liu Y, Melidis C, deSouza NM. A literature review of the association between diffusion-weighted MRI derived apparent diffusion coefficient and tumour aggressiveness in pelvic cancer. Cancer Treat Rev 2015; 41:496-502. [PMID: 25892290 DOI: 10.1016/j.ctrv.2015.03.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Revised: 03/20/2015] [Accepted: 03/23/2015] [Indexed: 10/23/2022]
Abstract
Diffusion-weighted magnetic resonance imaging (DW-MRI) is used extensively to improve tumour detection and localization because it offers excellent soft tissue contrast between malignant and non-malignant tissues. It also provides a quantitative biomarker; the apparent diffusion coefficient (ADC) can be derived from DW-MRI sequences using multiple diffusion weightings. ADC reflects the tumour microenvironment, e.g. cell membrane integrity and cellularity and has potential for reporting on tumour aggressiveness. This review focuses on the use of the DW-MRI derived imaging biomarker ADC to reflect tumour aggressiveness and its potential impact in managing pelvic cancer patients. The clinical studies which evaluate the role of ADC in pelvic tumours (prostate, bladder, rectal, ovary, cervix and uterus) are summarized and the evidence linking ADC values with tumour aggressiveness is evaluated.
Collapse
Affiliation(s)
- V R Bollineni
- European Organization for Research and Treatment of Cancer Headquarters, Brussels, Belgium
| | - G Kramer
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Y Liu
- European Organization for Research and Treatment of Cancer Headquarters, Brussels, Belgium
| | - C Melidis
- European Organization for Research and Treatment of Cancer Headquarters, Brussels, Belgium
| | - N M deSouza
- CRUK Cancer Imaging Centre, MRI Unit, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton, Surrey, UK
| |
Collapse
|
35
|
Fu ZZ, Peng Y, Cao LY, Chen YS, Li K, Fu BH. Value of apparent diffusion coefficient (ADC) in assessing radiotherapy and chemotherapy success in cervical cancer. Magn Reson Imaging 2015; 33:516-24. [DOI: 10.1016/j.mri.2015.02.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2014] [Revised: 01/31/2015] [Accepted: 02/01/2015] [Indexed: 12/22/2022]
|
36
|
Schreuder SM, Lensing R, Stoker J, Bipat S. Monitoring treatment response in patients undergoing chemoradiotherapy for locally advanced uterine cervical cancer by additional diffusion-weighted imaging: A systematic review. J Magn Reson Imaging 2014; 42:572-94. [PMID: 25346470 DOI: 10.1002/jmri.24784] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2014] [Accepted: 10/03/2014] [Indexed: 12/24/2022] Open
Abstract
PURPOSE To determine the role of diffusion-weighted imaging (DWI) in evaluating response to chemoradiotherapy in patients with uterine cervical cancer. MATERIALS AND METHODS A search was performed in MEDLINE and EMBASE from January 2005 to April 2014 using search terms related to uterine cervical cancer and magnetic resonance imaging. Two reviewers independently checked the studies for inclusion criteria, patient population, magnetic resonance imaging (MRI) parameters and analysis, follow-up for treatment response, apparent diffusion coefficient (ADC) values, and quality assessment. RESULTS Nine studies with 231 patients were included. International Federation of Gynecology and Obstetrics (FIGO) staging varied from Ib1 to IVb and mean age from 42 to 67 years. When baseline and after treatment pooled mean ADC values were compared, complete responders showed higher increase (0.88 × 10(-3) mm(2) /s to 1.50 × 10(-3) mm(2) /s; Δ0.62 × 10(-3) mm(2) /s) compared to partial responders (1.03 × 10(-3) mm(2) /s to 1.42 × 10(-3) mm(2) /s; Δ0.39 × 10(-3) mm(2) /s) and to nonresponders (0.87 × 10(-3) mm(2) /s to 1.18 × 10(-3) mm(2) /s; Δ0.31 × 10(-3) mm(2) /s). Individual studies also showed that an ADC of ≤0.31 was only seen in nonresponders and an increase of ADC of ≥0.62 was only seen in complete responders. The number of datasets for monitoring early response (at 2 or 4 weeks of therapy) were low and comparable increases in pooled mean ADC values between complete responders, partial responders, and nonresponders were seen. Data on quality assessment showed high risk of bias concerning patient selection, DWI evaluation, and flow and timing. CONCLUSION DWI can be used for monitoring treatment response after treatment, but not for the early response monitoring.
Collapse
Affiliation(s)
- Sanne M Schreuder
- Department of Radiology, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Rutger Lensing
- Department of Radiology, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Jaap Stoker
- Department of Radiology, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Shandra Bipat
- Department of Radiology, Academic Medical Center, University of Amsterdam, The Netherlands
| |
Collapse
|
37
|
Fu C, Feng X, Bian D, Zhao Y, Fang X, Du W, Wang L, Wang X. Simultaneous changes of magnetic resonance diffusion-weighted imaging and pathological microstructure in locally advanced cervical cancer caused by neoadjuvant chemotherapy. J Magn Reson Imaging 2014; 42:427-35. [PMID: 25328994 DOI: 10.1002/jmri.24779] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2014] [Accepted: 09/29/2014] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To investigate the changes to diffusion-weighted imaging (DWI) correlated with histopathology after neoadjuvant chemotherapy (NACT) in patients with locally advanced cervical cancer (LACC). MATERIALS AND METHODS Thirty-three patients with LACC were examined with 3T magnetic resonance imaging (MRI) with DWI and apparent diffusion coefficient (ADC) maps. MRIs were performed for each patient at three timepoints: before the first NACT, 2 weeks after the first NACT, and 2 weeks after the second NACT. Uterine cervical specimens were collected at the same timepoints. Specimens were stained for tumor cell density, proliferating cell nuclear antigen (PCNA), and aquaporin 1 (AQP1). Treatment responses were classified as the effective group (complete and partial response) and the ineffective group (stable and progressive disease). RESULTS The ADC value of the effective group after the first chemotherapy was higher than that before chemotherapy (P = 0.002), and expressions of three pathological indicators (tumor cell density, PCNA, and AQP1) significantly decreased after the first NACT compared with those prechemotherapy (P < 0.001). Changes of PCNA expression were negatively correlated with changes of ADC values after the first NACT in the effective group (r = -0.56, P = 0.03). Changes of cellular density were negatively correlated with changes of ADC values from the time of prechemotherapy to after the second NACT in the effective group (r = -0.51, P = 0.04). CONCLUSION The ADC change after successful chemotherapy is closely related with cellular characteristics preceding size reduction. ADC may be used as an early imaging biomarker of NACT response in LACC.
Collapse
Affiliation(s)
- Chun Fu
- Department of Gynecology and Obstetrics, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Xiaoyan Feng
- Department of Gynecology and Obstetrics, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Dujun Bian
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Yan Zhao
- Department of Gynecology and Obstetrics, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Xiaoling Fang
- Department of Gynecology and Obstetrics, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Wanping Du
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Lan Wang
- Department of Research, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Xiangquan Wang
- Department of Gynecology and Obstetrics, Second Xiangya Hospital, Central South University, Changsha, People's Republic of China
| |
Collapse
|
38
|
Assessment of early response to concurrent chemoradiotherapy in cervical cancer: value of diffusion-weighted and dynamic contrast-enhanced MR imaging. Magn Reson Imaging 2014; 32:993-1000. [DOI: 10.1016/j.mri.2014.05.009] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2014] [Revised: 03/12/2014] [Accepted: 05/26/2014] [Indexed: 01/14/2023]
|
39
|
Hou B, Xiang SF, Yao GD, Yang SJ, Wang YF, Zhang YX, Wang JW. Diagnostic significance of diffusion-weighted MRI in patients with cervical cancer: a meta-analysis. Tumour Biol 2014; 35:11761-9. [PMID: 25168365 DOI: 10.1007/s13277-014-2290-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Accepted: 06/27/2014] [Indexed: 01/10/2023] Open
Abstract
The aim of this meta-analysis is to demonstrate whether diffusion-weighted magnetic resonance imaging (DWI) could assist in the precise diagnosis of cervical cancer or not. Both English and Chinese electronic databases were searched for potential relevant studies followed by a comprehensive literature search without any language restriction. Two reviewers independently assessed the methodological quality of the included trials. Standardized mean difference (SMD) and its corresponding 95 % confidence interval (95 % CI) were calculated in this meta-analysis. We chose Version 12.0 STATA statistical software to analyze our statistical data. Thirteen eligible cohort studies were selected for statistical analysis, including 645 tumor tissues and 504 normal tissues. Combined SMD of apparent diffusion coefficient (ADC) suggested that the ADC value in cervical cancer tissues was significantly lower than that of normal tissue (SMD = 2.80, 95 % CI = 2.64 ~ 2.96, P < 0.001). Subgroup analysis stratified by ethnicity indicated a higher ADC value in the normal tissues compared to the cancer tissues in both the Asian and Caucasian subgroups (Asians: SMD = 2.83, 95 % CI = 2.64 ~ 3.02, P < 0.001; Caucasians: SMD = 2.73, 95 % CI = 2.45 ~ 3.01, P < 0.001, respectively). The results from the subgroup analysis by MRI machine type revealed a statistically significant difference in ADC value between normal cervical tissue and tumor tissues among all of the six MRI machine type subgroups (all P < 0.05). The main finding from our meta-analysis revealed that increased signal intensity on DWI and decreased signal on ADC seem to be useful in the diagnosis of cervical cancer. DWI could therefore be an important imaging tool in potentially identifying patients with cervical cancer.
Collapse
Affiliation(s)
- Bo Hou
- CT Scan Room, HanDan Central Hospital, Zhonghua Nan Avenue No.25, HanDan, 056001, People's Republic of China
| | | | | | | | | | | | | |
Collapse
|
40
|
Martens MH, Lambregts DMJ, Kluza E, Beets-Tan RGH. Tumor Response to Treatment: Prediction and Assessment. CURRENT RADIOLOGY REPORTS 2014. [DOI: 10.1007/s40134-014-0062-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
|
41
|
Demirbaş T, Cimilli T, Bayramoğlu S, Güner NT, Hocaoğlu E, Inci E. Contribution of diffusion-weighted imaging to diagnosis and staging of cervical cancer. Balkan Med J 2014; 31:154-7. [PMID: 25207188 DOI: 10.5152/balkanmedj.2014.13122] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Accepted: 05/11/2014] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Cervical cancer is the second most common female malignancy worldwide. Although its incidence has decreased in developed countries due to screening with Papanicolaou test, it is still the leading cause of cancer-related female death in developing countries. AIMS The aim of this study was to determine whether the apparent diffusion coefficient (ADC) measurements calculated from diffusion-weighted imaging (DWI) images had any contribution in differentiation of normal cervical tissue from malignant lesions preoperatively, and whether there was a correlation between the mean ADC values and tumor type, grade, or stage in malignant lesions. STUDY DESIGN Case-control study. METHODS Mean ADC values in 25 patients who had cervical cancer proved histopathologically, and 20 patients with otherwise normal uterus were compared. Also in the study group, mean ADC values were compared between histopathologic subtypes, tumor grades, and stages. RESULTS In the study group the mean ADC values (0.96±0.15×10(-3) mm(2)/s) were statistically lower than that of the control group (1.67±0.17×10(-3) mm(2)/s) (p<0.05). According to histopathologic sub-types there was no significant difference between mean ADC values of squamous cell cancer and adenocarcinoma (0.95×10(-3) mm(2)/s and 0.91×10(-3) mm(2)/s, respectively) (p>0.05). There was also no significant difference between the mean ADC values of the tumor grades (p>0.05). The mean ADC values in early stage cervical cancer (0.86±0.05×10(-3) mm(2)/s) were significantly lower than the mean ADC values in late stage disease (0.98±0.06×10(-3) mm(2)/s) (p<0.05). CONCLUSION ADC value measurements may provide useful information in diagnosis of cervical cancer as well as in preoperative assessment of the tumor stage.
Collapse
Affiliation(s)
- Tuna Demirbaş
- Department of Radiology, Çarsamba District Hospital, Samsun, Turkey
| | - Tan Cimilli
- Department of Radiology, Bakirkoy Training and Research Hospital, İstanbul, Turkey
| | - Sibel Bayramoğlu
- Department of Radiology, Bakirkoy Training and Research Hospital, İstanbul, Turkey
| | - Nurten Turan Güner
- Department of Radiology, Bakirkoy Training and Research Hospital, İstanbul, Turkey
| | - Elif Hocaoğlu
- Department of Radiology, Bakirkoy Training and Research Hospital, İstanbul, Turkey
| | - Ercan Inci
- Department of Radiology, Bakirkoy Training and Research Hospital, İstanbul, Turkey
| |
Collapse
|