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Hong R, Luo L, Xu X, Huang K, Zhao H, Huang L, Wang Y, Li F. The treatment response evaluation through the combination of contrast-enhanced ultrasound and squamous cell carcinoma antigen in cervical cancer. Quant Imaging Med Surg 2024; 14:7587-7599. [PMID: 39429563 PMCID: PMC11485382 DOI: 10.21037/qims-24-132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 06/12/2024] [Indexed: 10/22/2024]
Abstract
Background The evaluation of the treatment response after concurrent chemotherapy and radiotherapy (CCRT) for locally advanced cervical cancer is closely related to the formulation of treatment strategies. Magnetic resonance imaging (MRI) is a recommended method for efficacy evaluation; however, a unified consensus has not yet been reached on its use, and it has its limitations. This study aimed to evaluate the diagnostic value of a combination of contrast-enhanced ultrasound (CEUS) parameters and the squamous cell carcinoma antigen (SCC-Ag) to establish another efficient and feasible examination method. Methods The data of 94 patients with cervical cancer who underwent transvaginal contrast-enhanced ultrasound (TV-CEUS) from October 2020 to March 2023 were retrospectively collected. Based on the inclusion and exclusion criteria, 70 patients diagnosed with cervical squamous cell carcinoma (SCC) who underwent CCRT were selected for inclusion in the study. The patients were divided into the residual disease (RD) group (comprising 26 patients) and the complete response (CR) group (comprising 44 patients) according to the diagnostic standard. Data on the grayscale echogenicity, color Doppler flow imaging (CDFI), CEUS parameters, and the SCC-Ag of all the patients were collected by two experienced radiologists. Inter-observer reliability was assessed using the intraclass correlation coefficient (ICC). Receiver operating characteristic (ROC) curves were created based on the non-parametric U-test or t-test results for the two groups. Delong's test was used to compare the area under the curve (AUC) between different ROC curves. A subgroup analysis was conducted based on the patient's age, tumor diameter, and disease stage. Results The ICCs between the two observers ranged from 0.915 and 0.947. Hypervascular hyper-enhancement in the arterial phase, hypo-enhancement in the venous phase, and the SCC-Ag differed significantly between the RD and CR groups (P<0.05). The AUC of the ROC curve combining these indicators was 0.890 [95% confidence interval (CI): 0.792-0.989], which was higher than the AUC of any indicator alone (P<0.05). The subgroup analysis showed that the AUCs of the patients aged ≥53 and <53 years were 0.922 (95% CI: 0.816-1.00) and 0.896 (95% CI: 0.782-1.00), respectively, those of the patients with stage II, III, and IV were 0.881 (95% CI: 0.732-1.00), 0.955 (95% CI: 0.894-1.00), and 1.000 (95% CI: 1.00-1.00), respectively, and those of the patients with a tumor diameter ≤10 mm, 10 mm < tumor diameter (post) <20 mm, and tumor diameter (post) ≥20 mm were 0.976 (95% CI: 0.910-1.00), 0.883 (95% CI: 0.763-1.00), and 1.00 (95% CI: 1.00-1.00) respectively. Conclusions Transvaginal ultrasound (TVUS), TV-CEUS, and the SCC-Ag can be used in combination to evaluate the patient response to CCRT in locally advanced cervical SCC. This integrated approach enhanced the accuracy of the diagnosis of residual lesions and may be helpful in treatment plan optimization.
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Affiliation(s)
- Ruixia Hong
- Department of Ultrasound, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
| | - Li Luo
- Department of Ultrasound, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
| | - Xinzhi Xu
- Department of Ultrasound, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
| | - Kaifeng Huang
- Department of Ultrasound, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
| | - Huai Zhao
- Department of Ultrasound, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
| | - Lishu Huang
- Department of Ultrasound, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
| | - Yundong Wang
- Department of Ultrasound, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
| | - Fang Li
- Department of Ultrasound, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, China
- Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
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Ali Yesiltas M, Gokkurt Y, Ketenciler S, Yucel C, Yilmaz M, Ozgol I, Kursat Kurt M, Gulbudak S. Iatrogenic Vascular Injuries in Elective Abdominal and Pelvic Surgery Patients: Retrospective, Single Center, 30-Day Results. SISLI ETFAL HASTANESI TIP BULTENI 2024; 58:319-324. [PMID: 39411032 PMCID: PMC11472199 DOI: 10.14744/semb.2024.19971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 04/13/2024] [Accepted: 04/19/2024] [Indexed: 10/19/2024]
Abstract
Objectives Although rare, vascular injuries are common in elective abdominal or pelvic surgeries. When encountered, any problem in the relevant artery/vein (occlusion, stenosis, dissection, pseudoaneurysm or arteriovenous fistula) is associated with mortality and morbidity in both the short and long term. We aimed to share our treatment approach and short-term results for vascular injuries in elective surgery. Methods In this study, the clinical data of patients who underwent elective abdominal and pelvic surgery performed by a vascular surgeon and who sustained iatrogenic vascular injury between January 2018 and July 2023 were retrospectively examined. All patients with no iatrogenic vascular injuries were excluded from the study. Results In the present study, a total of 72 patients had iatrogenic vascular injuries and underwent vascular surgery. The average age of the patients was 50.8±14.6 years. Twenty-eight (38.8%) of the patients were male, and 44 (61.1%) were female. Iatrogenic vascular injury occurred in 21 (29.2%) patients who underwent urologic surgical interventions, 35 (48.6%) who underwent gynecologic surgical treatments, and 16 (22.2%) who underwent abdominal surgeries. Twenty-nine patients had isolated arterial injuries, 37 patients had isolated venous injuries, and 6 patients had both arterial and vein injuries. Embolectomy was performed on 24 patients. Primary sutures were applied in 22 patients, end-to-end anastomosis with a vein graft was performed in 13 patients, and end-to-end anastomosis with Dacron/PTFE was performed in 11 patients. In 10 patients, native vein end-to-end anastomosis was performed. During the 30-day follow-up period, 3 patients experienced arterial occlusion, and 2 patients experienced venous thrombosis. There was no mortality in the hospital or during the 30-day follow-up period. Conclusion Vascular injuries rarely occur in elective abdominal and pelvic surgeries. However, when they happen, they are fatal. For this reason, preoperative, multidisciplinary evaluation will minimize the risk of vascular complications, especially in patients requiring mass excision and lymph node dissection with close vascular proximity.
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Affiliation(s)
- Mehmet Ali Yesiltas
- Deparment of Cardiovascular Surgery, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Türkiye
| | - Yasar Gokkurt
- Deparment of Cardiovascular Surgery, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Türkiye
| | - Serkan Ketenciler
- Deparment of Cardiovascular Surgery, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Türkiye
| | - Cihan Yucel
- Deparment of Cardiovascular Surgery, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Türkiye
| | - Melek Yilmaz
- Deparment of Cardiovascular Surgery, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Türkiye
| | - Ilhan Ozgol
- Deparment of Cardiovascular Surgery, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Türkiye
| | - Mehmet Kursat Kurt
- Deparment of Cardiovascular Surgery, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Türkiye
| | - Seran Gulbudak
- Deparment of Cardiovascular Surgery, Prof. Dr. Cemil Tascioglu City Hospital, Istanbul, Türkiye
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Zhao H, Wang Y, Sun Y, Wang Y, Shi B, Liu J, Zhang S. Hematological indicator-based machine learning models for preoperative prediction of lymph node metastasis in cervical cancer. Front Oncol 2024; 14:1400109. [PMID: 39193382 PMCID: PMC11347340 DOI: 10.3389/fonc.2024.1400109] [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: 03/13/2024] [Accepted: 07/29/2024] [Indexed: 08/29/2024] Open
Abstract
Background Lymph node metastasis (LNM) is an important prognostic factor for cervical cancer (CC) and determines the treatment strategy. Hematological indicators have been reported as being useful biomarkers for the prognosis of a variety of cancers. This study aimed to evaluate the feasibility of machine learning models characterized by preoperative hematological indicators to predict the LNM status of CC patients before surgery. Methods The clinical data of 236 patients with pathologically confirmed CC were retrospectively analyzed at the Gynecology Oncology Department of the First Affiliated Hospital of Bengbu Medical University from November 2020 to August 2022. The least absolute shrinkage and selection operator (LASSO) was used to select 21 features from 35 hematological indicators and for the construction of 6 machine learning predictive models, including Adaptive Boosting (AdaBoost), Gaussian Naive Bayes (GNB), and Logistic Regression (LR), as well as Random Forest (RF), Support Vector Machines (SVM), and Extreme Gradient Boosting (XGBoost). Evaluation metrics of predictive models included the area under the receiver operating characteristic curve (AUC), accuracy, specificity, sensitivity, and F1-score. Results RF has the best overall predictive performance for ten-fold cross-validation in the training set. The specific performance indicators of RF were AUC (0.910, 95% confidence interval [CI]: 0.820-1.000), accuracy (0.831, 95% CI: 0.702-0.960), specificity (0.835, 95% CI: 0.708-0.962), sensitivity (0.831, 95% CI: 0.702-0.960), and F1-score (0.829, 95% CI: 0.696-0.962). RF had the highest AUC in the testing set (AUC = 0.854). Conclusion RF based on preoperative hematological indicators that are easily available in clinical practice showed superior performance in the preoperative prediction of CC LNM. However, investigations on larger external cohorts of patients are required for further validation of our findings.
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Affiliation(s)
- Huan Zhao
- School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China
| | - Yuling Wang
- Department of Gynecology and Oncology, First Affiliated Hospital, Bengbu Medical University, Bengbu, Anhui, China
| | - Yilin Sun
- Department of Gynecology and Oncology, First Affiliated Hospital, Bengbu Medical University, Bengbu, Anhui, China
| | - Yongqiang Wang
- School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China
| | - Bo Shi
- School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China
| | - Jian Liu
- Department of Gynecology and Oncology, First Affiliated Hospital, Bengbu Medical University, Bengbu, Anhui, China
| | - Sai Zhang
- School of Medical Imaging, Bengbu Medical University, Bengbu, Anhui, China
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Wang X, Feng C, Huang M, Liu S, Ma H, Yu K. Cervical cancer segmentation based on medical images: a literature review. Quant Imaging Med Surg 2024; 14:5176-5204. [PMID: 39022282 PMCID: PMC11250284 DOI: 10.21037/qims-24-369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 05/20/2024] [Indexed: 07/20/2024]
Abstract
Background and Objective Cervical cancer clinical target volume (CTV) outlining and organs at risk segmentation are crucial steps in the diagnosis and treatment of cervical cancer. Manual segmentation is inefficient and subjective, leading to the development of automated or semi-automated methods. However, limitation of image quality, organ motion, and individual differences still pose significant challenges. Apart from numbers of studies on the medical images' segmentation, a comprehensive review within the field is lacking. The purpose of this paper is to comprehensively review the literatures on different types of medical image segmentation regarding cervical cancer and discuss the current level and challenges in segmentation process. Methods As of May 31, 2023, we conducted a comprehensive literature search on Google Scholar, PubMed, and Web of Science using the following term combinations: "cervical cancer images", "segmentation", and "outline". The included studies focused on the segmentation of cervical cancer utilizing computed tomography (CT), magnetic resonance (MR), and positron emission tomography (PET) images, with screening for eligibility by two independent investigators. Key Content and Findings This paper reviews representative papers on CTV and organs at risk segmentation in cervical cancer and classifies the methods into three categories based on image modalities. The traditional or deep learning methods are comprehensively described. The similarities and differences of related methods are analyzed, and their advantages and limitations are discussed in-depth. We have also included experimental results by using our private datasets to verify the performance of selected methods. The results indicate that the residual module and squeeze-and-excitation blocks module can significantly improve the performance of the model. Additionally, the segmentation method based on improved level set demonstrates better segmentation accuracy than other methods. Conclusions The paper provides valuable insights into the current state-of-the-art in cervical cancer CTV outlining and organs at risk segmentation, highlighting areas for future research.
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Affiliation(s)
- Xiu Wang
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Chaolu Feng
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shenyang, China
- School of Computer Science and Engineering, Northeastern University, Shenyang, China
| | - Mingxu Huang
- School of Computer Science and Engineering, Northeastern University, Shenyang, China
| | - Shiqi Liu
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - He Ma
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shenyang, China
| | - Kun Yu
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
- Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Shenyang, China
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Xiao Y, Chen W, Long X, Li M, Zhang L, Liu C, Deng Y, Li C, He B, Chen J, Wang J. 3D MR elastography-based stiffness as a marker for predicting tumor grade and subtype in cervical cancer. Magn Reson Imaging 2024; 109:173-179. [PMID: 38484948 DOI: 10.1016/j.mri.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 03/05/2024] [Accepted: 03/05/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Increasing evidence has indicated that high tissue stiffness (TS) may be a potential biomarker for evaluation of tumor aggressiveness. PURPOSE To investigate the value of magnetic resonance elastography (MRE)-based quantitative parameters preoperatively predicting the tumor grade and subtype of cervical cancer (CC). STUDY TYPE Retrospective. POPULATION Twenty-five histopathology-proven CC patients and 7 healthy participants. FIELD STRENGTH/SEQUENCE 3.0T, magnetic resonance imaging (MRI) (LAVA-flex) and MRE with a three-dimensional spin-echo echo-planar imaging. ASSESSMENT The regions of interest (ROIs) were manually drawn by two observers in tumors to measure mean TS, storage modulus (G'), loss modulus (G″) and damping ratio (DR) values. Surgical specimens were evaluated for tumor grades and subtypes. STATISTICAL TESTS Intraclass correlation coefficient (ICC) was expressed in terms of inter-observer agreements. t-test or Mann-Whitney nonparametric test was used to compare the complex modulus and apparent diffusion coefficient (ADC) values between different tumor groups. Area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the diagnostic performance. RESULTS The TS of endocervical adenocarcinoma (ECA) group was significantly higher than that in squamous cell carcinoma (SCC) group (5.27 kPa vs. 3.44 kPa, P = 0.042). The TS also showed significant difference between poorly and well/moderately differentiated CC (5.21 kPa vs. 3.47 kPa, P = 0.038), CC patients and healthy participants (4.18 kPa vs. 1.99 kPa, P < 0.001). The cutoff value of TS to discriminate ECA from SCC was 4.10 kPa (AUC: 0.80), while it was 4.42 kPa to discriminate poorly from well/moderately differentiated CC (AUC: 0.83), and 2.25 kPa to distinguish normal cervix from CC (AUC: 0.88), respectively. There were no significant difference in G″, DR and ADC values between any subgroups except for comparison of healthy participants and CC patients (P = 0.001, P = 0.004, P < 0.001, respectively). DATA CONCLUSION 3D MRE-assessed TS shows promise as a potential biomarker to preoperatively assess tumor grade and subtype of CC.
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Affiliation(s)
- Yuanqiang Xiao
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Wenying Chen
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Xi Long
- Department of Radiology, Meizhou People's Hospital (Huangtang Hospital), Meizhou 51403, China.
| | - Mengsi Li
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Lina Zhang
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Chang Liu
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Ying Deng
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Chao Li
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Bingjun He
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
| | - Jun Chen
- Department of Radiology, Mayo Clinic College of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
| | - Jin Wang
- Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University (SYSU), Guangzhou, Guangdong 510630, China.
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Zhang K, Yu B, Tang M, Li Y, Wu M, Lv F. Endovaginal coil for pelvic high-resolution magnetic resonance imaging of cervical cancer: a preliminary parameter optimization study. Quant Imaging Med Surg 2024; 14:3851-3862. [PMID: 38846274 PMCID: PMC11151224 DOI: 10.21037/qims-23-1718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 04/03/2024] [Indexed: 06/09/2024]
Abstract
Background The diagnosis of early-stage cervical cancer through conventional magnetic resonance imaging (MRI) remains challenging, highlighting a greater need for pelvic high-resolution MRI (HR MRI). This study used our research team's endovaginal coil imaging to optimize scanning parameters and aimed to achieve HR MRI of the pelvis and determine its clinical value. Methods Fifty participants were recruited prospectively for this cross-sectional study conducted at the First Affiliated Hospital of Chongqing Medical University from January 2023 to November 2023. Initially, 10 volunteers requiring pelvic imaging diagnosis underwent pelvic MRI with the endovaginal coil combined with a conventional external array coil to test and optimize the scanning parameters. Subsequently, 40 patients who were highly suspected or diagnosed with cervical cancer were randomly assigned to undergo an initial pelvic scan with an external array coil with subsequent examinations of both the conventional coil and the endovaginal coil. Two experienced radiologists performed quantitative analyses, measuring signals and calculating the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and contrast (C). They also conducted qualitative analyses, evaluating imaging artifacts, anatomical structures, and overall image quality. The paired sample t-test and Wilcoxon rank-sum test were conducted to compare the statistical differences between the two sets of images, while the intraclass correlation coefficient (ICC) and Kappa consistency tests were used to assess the measurement and scoring consistency between the two radiologists. Results The optimized endovaginal images had higher mean SNR, CNR, and C values (18.62±7.85, 16.04±7.72, and 0.73±0.11, respectively) compared to the conventional images (6.77±2.36, 4.47±2.05, and 0.47±0.12, respectively). Additionally, the ratings for imaging artifacts, anatomical structures, and overall quality of the endovaginal images were all 4 [interquartile range (IQR) 4, 4]; meanwhile, the conventional images scored lower with ratings of 4 (IQR 3, 4), 3 (IQR 3, 3), and 3 (IQR 3, 3) for SNR, CNR, and C, respectively. All analysis results underwent paired-sample t-tests or Wilcoxon rank-sum tests between the two groups, yielding a P value <0.001. The optimized endovaginal images also showed improved resolution with a reconstructed voxel size of 0.11 mm3, and HR MRI was successfully achieved. The ICC values for the measurements were 0.914, 0.947, and 0.912, respectively, and for the ratings, the measurement was 0.923, indicating excellent consistency between the two physicians (ICC/Kappa value between 0.85 and 1.00). Conclusions Endovaginal technology, which provides precise clinical information for the diagnosis of cervical cancer, provides straightforward operation and exceptional imaging quality, making it highly suitable for expanded clinical use.
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Affiliation(s)
- Ke Zhang
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Bin Yu
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Mingmei Tang
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Yingyuan Li
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Department of Radiology, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Meixian Wu
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Department of Radiology, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, China
| | - Fajin Lv
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Wang L, Ding Y, Bruno TL, Stafford RJ, Lin E, Bathala TK, Sanders JW, Ning MS, Ma J, Klopp AH, Venkatesan A, Wang J, Martirosyan KS, Frank SJ. A Novel Positive-Contrast Magnetic Resonance Imaging Line Marker for High-Dose-Rate (HDR) MRI-Assisted Radiosurgery (MARS). Cancers (Basel) 2024; 16:1922. [PMID: 38792000 PMCID: PMC11119838 DOI: 10.3390/cancers16101922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 05/26/2024] Open
Abstract
Magnetic resonance imaging (MRI) can facilitate accurate organ delineation and optimal dose distributions in high-dose-rate (HDR) MRI-Assisted Radiosurgery (MARS). Its use for this purpose has been limited by the lack of positive-contrast MRI markers that can clearly delineate the lumen of the HDR applicator and precisely show the path of the HDR source on T1- and T2-weighted MRI sequences. We investigated a novel MRI positive-contrast HDR brachytherapy or interventional radiotherapy line marker, C4:S, consisting of C4 (visible on T1-weighted images) complexed with saline. Longitudinal relaxation time (T1) and transverse relaxation time (T2) for C4:S were measured on a 1.5 T MRI scanner. High-density polyethylene (HDPE) tubing filled with C4:S as an HDR brachytherapy line marker was tested for visibility on T1- and T2-weighted MRI sequences in a tissue-equivalent female ultrasound training pelvis phantom. Relaxivity measurements indicated that C4:S solution had good T1-weighted contrast (relative to oil [fat] signal intensity) and good T2-weighted contrast (relative to water signal intensity) at both room temperature (relaxivity ratio > 1; r2/r1 = 1.43) and body temperature (relaxivity ratio > 1; r2/r1 = 1.38). These measurements were verified by the positive visualization of the C4:S (C4/saline 50:50) HDPE tube HDR brachytherapy line marker on both T1- and T2-weighted MRI sequences. Orientation did not affect the relaxivity of the C4:S contrast solution. C4:S encapsulated in HDPE tubing can be visualized as a positive line marker on both T1- and T2-weighted MRI sequences. MRI-guided HDR planning may be possible with these novel line markers for HDR MARS for several types of cancer.
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Affiliation(s)
- Li Wang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.W.); (E.L.)
| | - Yao Ding
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.D.); (J.W.)
| | - Teresa L. Bruno
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (T.L.B.); (M.S.N.); (A.H.K.)
| | - R. Jason Stafford
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (R.J.S.); (J.M.)
| | - Eric Lin
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (L.W.); (E.L.)
| | - Tharakeswara K. Bathala
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (T.K.B.); (A.V.)
| | | | - Matthew S. Ning
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (T.L.B.); (M.S.N.); (A.H.K.)
| | - Jingfei Ma
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (R.J.S.); (J.M.)
| | - Ann H. Klopp
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (T.L.B.); (M.S.N.); (A.H.K.)
| | - Aradhana Venkatesan
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (T.K.B.); (A.V.)
| | - Jihong Wang
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (Y.D.); (J.W.)
| | - Karen S. Martirosyan
- Department of Physics, The University of Texas Rio Grande Valley, Brownsville, TX 78500, USA;
| | - Steven J. Frank
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (T.L.B.); (M.S.N.); (A.H.K.)
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Parida P, Baburaj G, Rao M, Lewis S, Damerla RR. Circulating cell-free DNA as a diagnostic and prognostic marker for cervical cancer. Int J Gynecol Cancer 2024; 34:307-316. [PMID: 37949487 DOI: 10.1136/ijgc-2023-004873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023] Open
Abstract
Circulating cell-free DNA (cfDNA) is a promising tool for liquid biopsy-based tests. cfDNA has been reported to help in the diagnosis, quantification of minimal residual disease, prognosis, and identification of mutations conferring resistance in various types of cancers. Cervical cancer is the fourth most common cancer among women worldwide. High-risk human papillomavirus (hr-HPV) infections have been associated with almost all cervical cancers. Lack of HPV vaccines in national vaccination programs and irregular screening strategies in nations with low or moderate levels of human development index have led to cervical cancer becoming the second leading cause of cancer mortality in women. As HPV integration and overexpression of E6/E7 oncoprotein are crucial steps in the development of cancer, HPV cfDNA could potentially be used as a specific biomarker for the detection of cervical cancer. Many studies have used HPV cfDNA and other gene mutations or mRNA expression profiles for diagnosis and disease surveillance in patients with cervical cancer at various stages of disease progression. In this review we present an overview of different studies discussing the utility of cfDNA in cervical cancer and summarize the evidence supporting its potential use in diagnosis and treatment monitoring.
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Affiliation(s)
- Preetiparna Parida
- Department of Medical Genetics, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Gayathri Baburaj
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Mahadev Rao
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Shirley Lewis
- Department of Radiotherapy and Oncology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Rama Rao Damerla
- Department of Medical Genetics, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Fan L, Ma L, Ling R, Guo X, Li H, Yang D, Lian Z. Clinical value of conventional magnetic resonance imaging combined with diffusion-weighted imaging in predicting pelvic lymph node metastasis of cervical cancer. Front Oncol 2023; 13:1267598. [PMID: 38188298 PMCID: PMC10766846 DOI: 10.3389/fonc.2023.1267598] [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: 07/26/2023] [Accepted: 12/11/2023] [Indexed: 01/09/2024] Open
Abstract
Background In cervical cancer (CC), the involvement of pelvis lymph nodes is a crucial factor for patients' outcome. We aimed to investigate the value of conventional magnetic resonance imaging (MRI) combined with diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) in predicting CC pelvic lymph node metastasis (PLNM). Methods This retrospective study included CC patients who received surgical treatments. Surgical pathology results served as the gold standard for investigating the diagnostic performance of conventional MRI combined with DWI. We analyzed the association between tumor ADC and PLNM, as well as other pathological factors. The areas under the receiver operating characteristic curves (AUCs) for ADC in assessing PLNM and pathological factors were evaluated, and optimal cut-off points were obtained. Results A total of 261 CC patients were analyzed. PLNM patients had significantly lower tumor ADC (0.829 ± 0.144×10-3mm2/s vs. 1.064 ± 0.345×10-3mm2/s, p<0.0001), than non-PLNM CC. The agreement between conventional MRI combined with DWI and pathological results on PLNM diagnosis was substantial (Kappa=0.7031, p<0.0001), with 76% sensitivity, 94.31% specificity, and 90.8% accuracy. The AUC of tumor ADC was 0.703, and the optimal cut-off was 0.95×10-3 mm2/s. In multivariate analysis model 1, tumor ADC<0.95×10-3mm2/s was significantly associated with PLNM (OR, 2.83; 95%CI, 1.08-7.43; p= 0.0346) after adjusting for age and pathological risk factors. In multivariate analysis model 2, tumor ADC<0.95×10-3mm2/s (OR, 4.00; 95%CI, 1.61-9.89; p=0.0027), age<35 years old (OR, 2.93; 95%CI, 1.04-8.30; p=0.0428), increased tumor diameter on MRI (OR, 2.17; 95%CI, 1.18-3.99; p=0.0128), vaginal vault involvement on MRI (OR, 2; 95%CI, 1.002-3.99; p=0.0494) were independent predictors for PLNM. Tumor ADC<0.95×10-3mm2/s was significantly associated with higher risk of tumor diameter ≥4cm (OR, 2.60; 95%CI, 1.43-4.73; p=0.0017), muscular layer infiltration >1/2 (OR, 5.46; 95%CI, 3.19-9.34; p<0.0001), vaginal vault involvement (OR, 2.25; 95%CI, 1.28-3.96; p=0.0051), and lymphovascular space involvement (OR, 3.81; 95%CI, 2.19-6.63; p<0.0001). Conclusion Conventional MRI combined with DWI had a good diagnostic performance in detecting PLNM. The tumor ADC value in PLNM patients was significantly lower than that in non-PLNM patients. Tumor ADC <0.95×10-3mm2/s, age <35 years old, increased tumor diameter on MRI, vaginal vault involvement on MRI were independent predictors for PLNM.
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Affiliation(s)
- Leilei Fan
- Department of Gynecology, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Liguo Ma
- Department of Gynecology, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Rennan Ling
- Department of Radiology, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Xiaojing Guo
- Department of Pathology, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Haili Li
- Department of Gynecology, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Degui Yang
- Department of Gynecology, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Zhesi Lian
- Department of Public Health, Tufts University School of Medicine, Boston, MA, United States
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10
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Bseiso A, Saqib M, Saigol MS, Rehman A, Sare A, Yagoub AE, Mumtaz H. Patient survival prediction in locally advanced cervical squamous cell carcinoma using MRI-based radiomics: retrospective cohort study. Ann Med Surg (Lond) 2023; 85:5328-5336. [PMID: 37915655 PMCID: PMC10617902 DOI: 10.1097/ms9.0000000000001288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 08/31/2023] [Indexed: 11/03/2023] Open
Abstract
Cervical cancer is a major health concern for women, ranking as the fourth most common cancer and a significant cause of cancer-related deaths worldwide. To enhance prognostic predictions for locally advanced cervical squamous cell carcinoma, we conducted a study utilizing radiomics features extracted from pretreatment magnetic resonance images. The goal was to predict patient survival and compare the predictive value of these features with clinical traits and the 2018 International Federation of Obstetrics and Gynecology (FIGO) staging system. In our retrospective cohort study, we included 500 patients with confirmed cervical squamous cell carcinoma ranging from FIGO stages IIB to IVA under the 2018 staging system. All patients underwent pelvic MRI with diffusion-weighted imaging before receiving definitive curative concurrent chemoradiotherapy. The results showed that the combination model, incorporating radiomics scores and clinical traits, demonstrated superior predictive accuracy compared to the widely used 2018 FIGO staging system for both progression-free and overall survival. Age was identified as a significant factor influencing survival outcomes. Additionally, primary tumour invasion stage, tumour maximal diameter, and the location of lymph node metastasis were found to be important predictors of progression-free survival, while primary tumour invasion stage and lymph node metastasis position individually affected overall survival. During the follow-up period, a portion of patients experienced disease-related deaths or tumour progression/recurrence in both sets. The radiomics-score significantly enhanced prediction ability, providing valuable insights for guiding personalized therapy approaches and stratifying patients into low-risk and high-risk categories for progression-free and overall survival. In conclusion, our study demonstrated the potential of radiomics features as a valuable addition to existing clinical tools like the FIGO staging system, offering promising advancements in managing locally advanced cervical squamous cell carcinoma.
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Tarcha Z, Konstantinoff KS, Ince S, Fraum TJ, Sadowski EA, Bhosale PR, Derenoncourt PR, Zulfiqar M, Shetty AS, Ponisio MR, Mhlanga JC, Itani M. Added Value of FDG PET/MRI in Gynecologic Oncology: A Pictorial Review. Radiographics 2023; 43:e230006. [PMID: 37410624 DOI: 10.1148/rg.230006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Fluorine 18-fluorodeoxyglucose (FDG) PET and MRI independently play a valuable role in the management of patients with gynecologic malignancies, particularly endometrial and cervical cancer. The PET/MRI hybrid imaging technique combines the metabolic information obtained from PET with the excellent soft-tissue resolution and anatomic details provided by MRI in a single examination. MRI is the modality of choice for assessment of local tumor extent in the pelvis, whereas PET is used to assess for local-regional spread and distant metastases. The authors discuss the added value of FDG PET/MRI in imaging gynecologic malignancies of the pelvis, with a focus on the role of FDG PET/MRI in diagnosis, staging, assessing treatment response, and characterizing complications. PET/MRI allows better localization and demarcation of the extent of disease, characterization of lesions and involvement of adjacent organs and lymph nodes, and improved differentiation of benign from malignant tissues, as well as detection of the presence of distant metastasis. It also has the advantages of decreased radiation dose and a higher signal-to-noise ratio of a prolonged PET examination of the pelvis contemporaneous with MRI. The authors provide a brief technical overview of PET/MRI, highlight how simultaneously performed PET/MRI can improve stand-alone MRI and PET/CT in gynecologic malignancies, provide an image-rich review to illustrate practical and clinically relevant applications of this imaging technique, and review common pitfalls encountered in clinical practice. ©RSNA, 2023 Quiz questions for this article are available in the supplemental material.
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Affiliation(s)
- Ziad Tarcha
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Katerina S Konstantinoff
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Semra Ince
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Tyler J Fraum
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Elizabeth A Sadowski
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Priya R Bhosale
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Paul-Robert Derenoncourt
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Maria Zulfiqar
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Anup S Shetty
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Maria R Ponisio
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Joyce C Mhlanga
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
| | - Malak Itani
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, St. Louis, MO, 63110-8131 (Z.T., K.S.K., S.I., T.J.F., P.R.D., A.S.S., M.R.P., J.C.M., M.I.); Department of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, Wis (E.A.S.); Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Tex (P.R.B.); and Department of Radiology, Mayo Clinic, Scottsdale, Ariz (M.Z.)
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12
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Arezzo F, Cormio G, Mongelli M, Cazzato G, Silvestris E, Kardhashi A, Cazzolla A, Lombardi C, Venerito V, Loizzi V. Machine learning applied to MRI evaluation for the detection of lymph node metastasis in patients with locally advanced cervical cancer treated with neoadjuvant chemotherapy. Arch Gynecol Obstet 2023; 307:1911-1919. [PMID: 36370209 DOI: 10.1007/s00404-022-06824-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/10/2022] [Indexed: 11/13/2022]
Abstract
PURPOSE Concurrent cisplatin-based chemotherapy and radiotherapy (CCRT) plus brachytherapy is the standard treatment for locally advanced cervical cancer (LACC). Platinum-based neoadjuvant chemotherapy (NACT) followed by radical hysterectomy is an alternative for patients with stage IB2-IIB disease. Therefore, the correct pre-treatment staging is essential to the proper management of this disease. Pelvic magnetic resonance imaging (MRI) is the gold standard examination but studies about MRI accuracy in the detection of lymph node metastasis (LNM) in LACC patients show conflicting data. Machine learning (ML) is emerging as a promising tool for unraveling complex non-linear relationships between patient attributes that cannot be solved by traditional statistical methods. Here we investigated whether ML might improve the accuracy of MRI in the detection of LNM in LACC patients. METHODS We analyzed retrospectively LACC patients who underwent NACT and radical hysterectomy from 2015 to 2020. Demographic, clinical and MRI characteristics before and after NACT were collected, as well as information about post-surgery histopathology. Random features elimination wrapper was used to determine an attribute core set. A ML algorithm, namely Extreme Gradient Boosting (XGBoost) was trained and validated with tenfold cross-validation. The performances of the algorithm were assessed. RESULTS Our analysis included n.92 patients. FIGO stage was IB2 in n.4/92 (4.3%), IB3 in n.42/92 (45%), IIA1 in n.1/92 (1.1%), IIA2 in n.16/92 (17.4%) and IIB in n.29/92 (31.5%). Despite detected neither at pre-treatment and post-treatment MRI in any patients, LNM occurred in n.16/92 (17%) patients. The attribute core set used to train ML algorithms included grading, histotypes, age, parity, largest diameter of lesion at either pre- and post-treatment MRI, presence/absence of fornix infiltration at pre-treatment MRI and FIGO stage. XGBoost showed a good performance (accuracy 89%, precision 83%, recall 78%, AUROC 0.79). CONCLUSIONS We developed an accurate model to predict LNM in LACC patients in NACT, based on a ML algorithm requiring few easy-to-collect attributes.
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Affiliation(s)
- Francesca Arezzo
- Gynecologic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Interdisciplinar Department of Medicine, Bari, Italy.
| | - Gennaro Cormio
- Gynecologic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy
- Obstetrics and Gynecology Unit, Interdisciplinar Department of Medicine, University of Bari "Aldo Moro", Bari, Italy
| | - Michele Mongelli
- Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", Bari, Italy
| | - Gerardo Cazzato
- Department of Emergency and Organ Transplantation, Pathology Section, University of Bari "Aldo Moro", Bari, Italy
| | - Erica Silvestris
- Gynecologic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Interdisciplinar Department of Medicine, Bari, Italy
| | - Anila Kardhashi
- Gynecologic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Interdisciplinar Department of Medicine, Bari, Italy
| | - Ambrogio Cazzolla
- Gynecologic Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Interdisciplinar Department of Medicine, Bari, Italy
| | - Claudio Lombardi
- Obstetrics and Gynecology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", Bari, Italy
| | - Vincenzo Venerito
- Department of Emergency and Organ Transplantations, Rheumatology Unit, University of Bari "Aldo Moro", Bari, Italy
| | - Vera Loizzi
- Obstetrics and Gynecology Unit, Interdisciplinar Department of Medicine, University of Bari "Aldo Moro", Bari, Italy
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Pak T, Sadowski E, Patel-Lippmann K. MR Imaging in Cervical Cancer. Radiol Clin North Am 2023; 61:639-649. [PMID: 37169429 DOI: 10.1016/j.rcl.2023.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Cervical cancer remains a significant contributor to morbidity and mortality for women globally despite medical advances in preventative medicine and treatment. The 2018 Internal Federation of Gynecology and Obstetrics committee modified their original 2009 staging scheme to incorporate advanced imaging modalities, where available, to increase the accuracy of staging and to guide evolving treatments. Having a robust understanding of the newest staging iteration, its consequences on treatment pathways, and common imaging pitfalls will aid the radiologist in generating valuable and practical reports to optimize treatment strategies.
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Cordoba A, Durand B, Escande A, Taieb S, Amor MBH, Le Deley MC, Michel A, Le Tinier F, Hudry D, Martinez C, Leblanc E, Becourt S, Abdedaim C, Bresson L, Lartigau E, Mirabel X, Narducci F. Prognostic impact of tumor size reduction assessed by magnetic resonance imaging after radiochemotherapy in patients with locally advanced cervical cancer. Front Oncol 2022; 12:1046087. [PMID: 36531006 PMCID: PMC9756130 DOI: 10.3389/fonc.2022.1046087] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 11/02/2022] [Indexed: 09/17/2023] Open
Abstract
OBJECTIVE Pelvic magnetic resonance imaging (MRI) is a key exam used for the initial assessment of loco-regional involvement of cervical cancer. In patients with locally advanced cervical cancer, MRI is used to evaluate the early response to radiochemotherapy before image-guided brachytherapy, the prognostic impact of which we aimed to study. METHODS Patients with locally advanced cervical cancer treated using concomitant radiochemotherapy followed by closure treatment between January 2010 and December 2015 were included in this study. Clinical, anatomopathological, radiological, therapeutic, and follow-up data were evaluated. RESULTS After applying the inclusion and exclusion criteria to the initially chosen 310 patients, 232 were included for evaluation (median follow-up period, 5.3 years). The median age was 50 years (range, 25-83 years), and the median tumor size was 47.5 mm (range, 0-105 mm). Based on the International Federation of Gynaecology and Obstetrics classification system, 9 patients were in stage IB2; 20, IB3; 2, IIA; 63, IIB; 4, IIIA; 7, IIIB; and 127, IIIC1 or higher. The re-evaluation MRI was performed at the median dose of 55.5 Gy, and median reduction in tumor size was 55.2% (range, -20-100%). There was a difference between the disease-free and overall survival rates of the patients with a tumor response greater or lesser than 50%. The risk of recurrence or death reduced by 39% in patients with a tumor size reduction >50%. The overall 5-year survival rate of patients with a response greater and lesser than 50% were 77.7% and 61.5%, respectively. The 5-year disease-free survival rate for these two groups of patients were 68.8% and 51.5%, respectively. CONCLUSION Our study confirms the prognostic impact of tumor size reduction using MRI data obtained after radiochemotherapy in patients with locally advanced cervical cancer.
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Affiliation(s)
- Abel Cordoba
- Academic Radiotherapy Department, Oscar Lambret Center, Lille, France
| | - Benedicte Durand
- Academic Radiotherapy Department, Oscar Lambret Center, Lille, France
| | - Alexandre Escande
- Academic Radiotherapy Department, Oscar Lambret Center, Lille, France
| | - Sophie Taieb
- Radiology Department, Oscar Lambret Center, Lille, France
| | | | | | - Andree Michel
- Biostatistics Department, Oscar Lambret Center, Lille, France
| | | | - Delphine Hudry
- Medical Oncology Department, Oscar Lambret Center, Lille, France
| | - Carlos Martinez
- Medical Oncology Department, Oscar Lambret Center, Lille, France
| | - Eric Leblanc
- Medical Oncology Department, Oscar Lambret Center, Lille, France
| | | | - Cyril Abdedaim
- Surgical Oncology Department, Oscar Lambret Center, Lille, France
| | - Lucie Bresson
- Department of Surgical Oncology, Polyclinique Henin Beaumont, Henin, France
| | - Eric Lartigau
- Academic Radiotherapy Department, Oscar Lambret Center, Lille, France
| | - Xavier Mirabel
- Academic Radiotherapy Department, Oscar Lambret Center, Lille, France
| | - Fabrice Narducci
- Medical Oncology Department, Oscar Lambret Center, Lille, France
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Gul P, Gul K, Altaf MO, Javaid A, Ashraf J. The Accuracy of MRI in the Local Staging of Endometrial Cancer: An Experience From a Tertiary Care Oncology Institute in Pakistan. Cureus 2022; 14:e31053. [DOI: 10.7759/cureus.31053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2022] [Indexed: 11/06/2022] Open
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16
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Ghani M, Liau J, Eskander R, Mell L, Yusufaly T, Obrzut S. Imaging Biomarkers and Liquid Biopsy in Assessment of Cervical Cancer. J Comput Assist Tomogr 2022; 46:707-715. [PMID: 35995483 PMCID: PMC9474655 DOI: 10.1097/rct.0000000000001358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT The role of imaging has been increasing in pretherapy planning and response assessment in cervical cancer, particularly in high-resource settings that provide access to computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). In 2018, imaging was incorporated into the International Federation of Gynecology and Obstetrics staging system for cervical cancer. Magnetic resonance imaging is advantageous over CT for evaluation of the primary cervical cancer size and extent, because of superior contrast resolution. Furthermore, quantitative methods, including diffusion-weighted and dynamic contrast-enhanced MRI, show promise in improving treatment response and prognosis evaluation. Molecular imaging with fluorodeoxyglucose-PET/CT and PET/MRI can be particularly helpful in the detection of nodal disease and distant metastases. Semiautomated delineation of 3-dimensional tumor regions of interest has facilitated the development of novel PET-derived biomarkers that include metabolic volume and radiomics textural analysis features for prediction of outcomes. However, posttreatment inflammatory changes can be a confounder and lymph node evaluation is challenging, even with the use of PET/CT. Liquid biopsy has emerged as a promising tool that may be able to overcome some of the drawbacks inherent with imaging, such as limited ability to detect microscopic metastases or to distinguish between postchemoradiotherapy changes and residual tumor. Preliminary evidence suggests that liquid biopsy may be able to identify cervical cancer treatment response and resistance earlier than traditional methods. Future work should prioritize how to best synergize imaging and liquid biopsy as an integrated approach for optimal cervical cancer management.
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Affiliation(s)
- Mansur Ghani
- Department of Radiology, University of California San Diego, CA, USA
| | - Joy Liau
- Department of Radiology, University of California San Diego, CA, USA
| | - Ramez Eskander
- Division of Hematology/Oncology, University of California San Diego, CA, USA
| | - Loren Mell
- Department of Radiation Oncology, University of California San Diego, CA, USA
| | - Tahir Yusufaly
- Department of Radiology, Johns Hopkins University, MD, USA
| | - Sebastian Obrzut
- Department of Radiology, University of California San Diego, CA, USA
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Zhang X, Zhang Q, Guo J, Zhao J, Xie L, Zhang J, An J, Yu X, Zhao X. Added-value of texture analysis of ADC in predicting the survival of patients with 2018 FIGO stage IIICr cervical cancer treated by concurrent chemoradiotherapy. Eur J Radiol 2022; 150:110272. [PMID: 35334244 DOI: 10.1016/j.ejrad.2022.110272] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/22/2022] [Accepted: 03/17/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE To investigate the value of texture analysis of ADC in predicting the survival of patients with 2018 International Federation of Gynecology and Obstetrics (FIGO) stage IIICr cervical squamous cell cancer (CSCC) treated with concurrent chemoradiotherapy (CCRT). METHODS A total of 91 patients with stage IIICr CSCC treated by CCRT between January 2014 and December 2018 were retrospectivelyenrolled in this study. Clinical variables and 21 first-order texture features extracted from ADC maps were collected. Univariate and multivariate Cox hazard regression analyses were performed to evaluate these parameters in predicting progression-free survival (PFS) and overall survival (OS). The independent variables were combined to build a prediction model and compared with the 2018 FIGO staging system. Survival curves were generated using the Kaplan-Meier method, and the log-rank test was used for comparison. RESULTS Mean Absolute Deviation (MAD), T stage, and the number of lymph node metastasis (LNM) were independently associated with PFS, while MAD, energy, T stage, number of LNM, and tumor grade were independently associated with OS. The C-index values of the combined models for PFS and OS, which were respectively 0.750 and 0.832, were significantly higher compared to 2018 FIGO staging system values of 0.629 and 0.630, respectively (P < 0.05). CONCLUSIONS The texture analysis of the ADC maps could be used along with clinical prognostic biomarkers to predict PFS and OS in patients with stage IIICr CSCC treated by CCRT.
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Affiliation(s)
- Xiaomiao Zhang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Qi Zhang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jinxia Guo
- GE Healthcare, MR Research, Beijing, China
| | - Jingwei Zhao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Lizhi Xie
- GE Healthcare, MR Research, Beijing, China
| | - Jieying Zhang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jusheng An
- Department of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiaoduo Yu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Xinming Zhao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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18
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Li L, Zhang J, Zhe X, Tang M, Zhang X, Lei X, Zhang L. A meta-analysis of MRI-based radiomic features for predicting lymph node metastasis in patients with cervical cancer. Eur J Radiol 2022; 151:110243. [DOI: 10.1016/j.ejrad.2022.110243] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/22/2022] [Accepted: 03/05/2022] [Indexed: 12/23/2022]
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Alifu N, Ma R, Zhu L, Du Z, Chen S, Yan T, Alimu G, Zhang L, Zhang X. A novel TMTP1-modified theranostic nanoplatform for targeted in vivo NIR-II fluorescence imaging-guided chemotherapy for cervical cancer. J Mater Chem B 2022; 10:506-517. [PMID: 34988561 DOI: 10.1039/d1tb02481g] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Near-infrared II (NIR-II, 900-1700 nm) fluorescence bioimaging with advantages of good biosafety, excellent spatial resolution, high sensitivity, and contrast has attracted great attention in biomedical research fields. However, most of the nanoprobes used for NIR-II fluorescence imaging have poor tumor-targeting ability and therapeutic efficiency. To overcome these limitations, a novel NIR-II-emissive theranostic nanoplatform for fluorescence imaging and treatment of cervical cancer was designed and prepared. The NIR-II-emissive dye IR-783 and chemotherapy drug doxorubicin (DOX) were encapsulated into liposomes, and the tumor-targeting peptide TMTP1 (a polypeptide with a sequence of cyclic ASN Val Val Arg Gln Cys) was conjugated to the surface of the liposomes to form IR-783-DOX-TMTP1 nanoparticles (NPs) via self-assembly methods. The IR-783-DOX-TMTP1 NPs showed strong NIR-II emission, excellent biocompatibility and a long lifetime in vivo. Furthermore, high-definition NIR-II fluorescence microscopy images of ear blood vessels and intratumoral blood vessels were obtained from IR-783-DOX-TMTP1 NP-stained mice with high spatial resolution under 808 nm laser excitation. Moreover, IR-783-DOX-TMTP1 NPs showed strong tumor-targeting ability and highly efficient chemotherapeutic characteristics towards cervical tumors. The novel targeting and NIR-II-emissive IR-783-DOX-TMTP1 NPs have great potential in diagnosis and therapy for cervical cancer.
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Affiliation(s)
- Nuernisha Alifu
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, China.
| | - Rong Ma
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Lijun Zhu
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, China.
| | - Zhong Du
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Shuang Chen
- State Key Laboratory of Pathogenesis, Prevention, and Treatment of High Incidence Diseases in Central Asia, Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Ting Yan
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, China.
| | - Gulinigaer Alimu
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, China.
| | - Linxue Zhang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, China.
| | - Xueliang Zhang
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, China.
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20
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Maffei ME. Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics. Int J Mol Sci 2022; 23:1339. [PMID: 35163262 PMCID: PMC8835851 DOI: 10.3390/ijms23031339] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/22/2022] [Accepted: 01/22/2022] [Indexed: 02/08/2023] Open
Abstract
Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at many different frequencies, at home and at work. Epidemiological studies indicate that there is a positive relationship between residential/domestic and occupational exposure to extremely low frequency electromagnetic fields and some types of cancer, although some other studies indicate no relationship. In this review, after an introduction on the MF definition and a description of natural/anthropogenic sources, the epidemiology of residential/domestic and occupational exposure to MFs and cancer is reviewed, with reference to leukemia, brain, and breast cancer. The in vivo and in vitro effects of MFs on cancer are reviewed considering both human and animal cells, with particular reference to the involvement of reactive oxygen species (ROS). MF application on cancer diagnostic and therapy (theranostic) are also reviewed by describing the use of different magnetic resonance imaging (MRI) applications for the detection of several cancers. Finally, the use of magnetic nanoparticles is described in terms of treatment of cancer by nanomedical applications for the precise delivery of anticancer drugs, nanosurgery by magnetomechanic methods, and selective killing of cancer cells by magnetic hyperthermia. The supplementary tables provide quantitative data and methodologies in epidemiological and cell biology studies. Although scientists do not generally agree that there is a cause-effect relationship between exposure to MF and cancer, MFs might not be the direct cause of cancer but may contribute to produce ROS and generate oxidative stress, which could trigger or enhance the expression of oncogenes.
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Affiliation(s)
- Massimo E Maffei
- Department Life Sciences and Systems Biology, University of Turin, Via Quarello 15/a, 10135 Turin, Italy
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21
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Yi J, Lei X, Zhang L, Zheng Q, Jin J, Xie C, Jin X, Ai Y. The Influence of Different Ultrasonic Machines on Radiomics Models in Prediction Lymph Node Metastasis for Patients with Cervical Cancer. Technol Cancer Res Treat 2022; 21:15330338221118412. [PMID: 35971568 PMCID: PMC9386859 DOI: 10.1177/15330338221118412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Objective To investigate the effects of different ultrasonic machines on the performance of radiomics models using ultrasound (US) images in the prediction of lymph node metastasis (LNM) for patients with cervical cancer (CC) preoperatively. Methods A total of 536 CC patients with confirmed histological characteristics and lymph node status after radical hysterectomy and pelvic lymphadenectomy were enrolled. Radiomics features were extracted and selected with US images acquired with ATL HDI5000, Voluson E8, MyLab classC, ACUSON S2000, and HI VISION Preirus to build radiomics models for LNM prediction using support vector machine (SVM) and logistic regression, respectively. Results There were 148 patients (training vs validation: 102:46) scanned in machine HDI5000, 75 patients (53:22) in machine Voluson E8, 100 patients (69:31) in machine MyLab classC, 110 patients (76:34) in machine ACUSON S2000, and 103 patients (73:30) in machine HI VISION Preirus, respectively. Few radiomics features were reproducible among different machines. The area under the curves (AUCs) ranged from 0.75 to 0.86, 0.73 to 0.86 in the training cohorts, and from 0.71 to 0.82, 0.70 to 0.80 in the validation cohorts for SVM and logistic regression models, respectively. The highest difference in AUCs for different machines reaches 17.8% and 15.5% in the training and validation cohorts, respectively. Conclusions The performance of radiomics model is dependent on the type of scanner. The problem of scanner dependency on radiomics features should be considered, and their effects should be minimized in future studies for US images.
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Affiliation(s)
- Jinling Yi
- Radiotherapy Center, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiyao Lei
- Radiotherapy Center, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lei Zhang
- Radiotherapy Center, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Qiao Zheng
- Radiotherapy Center, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Juebin Jin
- Department of Medical Engineering, 89657The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Congying Xie
- Radiotherapy Center, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,Department of Radiation and Medical Oncology, 26452The 2nd Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiance Jin
- Radiotherapy Center, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.,School of Basic Medical Science, 26453Wenzhou Medical University, Wenzhou, China
| | - Yao Ai
- Radiotherapy Center, The 1st Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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22
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Dhamija E, Gulati M, Manchanda S, Singhal S, Sharma D, Kumar S, Bhatla N. Imaging in Carcinoma Cervix and Revised 2018 FIGO Staging System: Implications in Radiology Reporting. Indian J Radiol Imaging 2021; 31:623-634. [PMID: 34790308 PMCID: PMC8590564 DOI: 10.1055/s-0041-1735502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
Abstract
The International Federation of Gynecology and Obstetrics (FIGO) staging system of carcinoma cervix saw a radical change in 2018 with the inclusion of cross-sectional imaging tools for the assessment of disease extent and staging. One of the major revisions is the inclusion of lymph node status, detected either on imaging or pathological evaluation, in the staging system. The changes were based on long-term patient follow-up and survival rates reported in literature. Thus, it becomes imperative for a radiologist to be well versed with the recent staging system, its limitations, and implications on the patient management.
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Affiliation(s)
- Ekta Dhamija
- Department of Radiodiagnosis, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India
| | - Malvika Gulati
- Department of Radiodiagnosis, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India
| | - Smita Manchanda
- Department of Radiodiagnosis, Dr B.R.A. IRCH, All India Institute of Medical Sciences, New Delhi, India
| | - Seema Singhal
- Department of Obstetrics & Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - Dayanand Sharma
- Department of Radiation Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - Sunesh Kumar
- Department of Obstetrics & Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - Neerja Bhatla
- Department of Obstetrics & Gynaecology, All India Institute of Medical Sciences, New Delhi, India
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23
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Gala FB, Gala KB, Gala BM. Magnetic Resonance Imaging of Uterine Cervix: A Pictorial Essay. Indian J Radiol Imaging 2021; 31:454-467. [PMID: 34556931 PMCID: PMC8448214 DOI: 10.1055/s-0041-1734377] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Uterine cervix is the lower constricted part of uterus which is best evaluated by magnetic resonance imaging (MRI) due to its higher soft tissue and contrast resolution. The cervical cancer is a common gynecological cancer causing much morbidity and mortality especially in developing countries. Cervical carcinomas mainly occurs in reproductive age group with prognosis mainly depending on the extent of disease at the time of diagnosis, hence it is important to identify these cancerous lesions early and stage them accurately for optimal treatment. In this article, we will review the following: (1) the normal MRI anatomy of uterine cervix; (2) MRI protocol and techniques in evaluation of cervical lesions; (3) imaging of spectrum of various congenital abnormalities and pathologies affecting uterine cervix which ranges from congenital abnormalities to various benign lesions of cervix like nabothian cysts, tunnel cysts, cervicitis, cervical fibroid, and, lastly, endometriosis which usually coexists with adenomyosis; the malignant lesions include carcinoma cervix, adenoma malignum or direct extension from carcinoma endometrium or from carcinoma of vagina; (4) Accurately stage carcinoma of cervix using FIGO classification (2018); and (5) posttreatment evaluation of cervical cancers. MRI is the most reliable imaging modality in evaluation of various cervical lesions, identification of cervical tumors, staging of the cervical malignancy, and stratifying patients for surgery and radiation therapy. It also plays an important role in detection of local disease recurrence.
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Affiliation(s)
- Foram B Gala
- Department of Radiology, Lifescan Imaging Centre, Mumbai, Maharashtra, India.,Department of Radiology, Bai Jerbai Wadia Hospital for Children, Mumbai, Maharashtra, India
| | - Kunal B Gala
- Department of Radiology, Tata Memorial Hospital, Mumbai, Maharashtra, India
| | - Bharat M Gala
- Department of Radiology, Lifescan Imaging Centre, Mumbai, Maharashtra, India
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24
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Jang W, Song JS. [Uterine Cervical Cancer: Emphasis on Revised FIGO Staging 2018 and MRI]. TAEHAN YONGSANG UIHAKHOE CHI 2021; 82:1083-1102. [PMID: 36238389 PMCID: PMC9432380 DOI: 10.3348/jksr.2021.0113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/05/2021] [Accepted: 09/17/2021] [Indexed: 11/15/2022]
Abstract
Uterine cervical cancer is a common gynecological cancer prevalent in Korea. Early detection, precise diagnosis, and appropriate treatment can affect its prognosis. Imaging approaches play an important role in staging, treatment planning, and follow-up. MRI specifically provides the advantage of assessing tumor size and disease severity with high soft tissue contrast. The revised version of the International Federation of Gynecology and Obstetrics (FIGO) staging system has been introduced in 2018, which incorporates subdivided primary tumor size and lymph node metastasis. In this review, the staging of uterine cervical cancer based on previous studies, the recently revised FIGO staging, and various post-treatment images are primarily described using MRI.
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25
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Dhamija E, Baby A, Bhatla N, Pulappadi VP, Kumar M, Kumar S, Kumar L, Sharma D. Radiological evaluation of metastatic lymph nodes in carcinoma cervix with emphasis on their infiltrative pattern. Indian J Med Res 2021; 154:383-390. [PMID: 35295016 PMCID: PMC9131760 DOI: 10.4103/ijmr.ijmr_212_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND & OBJECTIVES Imaging has been added to the International Federation of Gynecology and Obstetrics (FIGO) 2018 staging system of cervical carcinoma. This study was performed to assess the impact of imaging in staging and to ascertain the prevalence and pattern of nodal metastasis on contrast-enhanced computed tomography (CECT) in patients with cervical carcinoma who were treated based on FIGO 2009 staging system. METHODS This retrospective study was conducted to evaluate all patients with biopsy-proven cervical carcinoma who underwent CECT of abdomen at a tertiary cancer centre in north India from April 2017 to April 2019 and for whom either baseline or follow up scans were available. In patients with enlarged or necrotic lymph nodes, the location, size and pattern of infiltration of adjacent organs were recorded. RESULTS A total of 602 patients of cervical carcinoma had undergone CT during the study period, of whom 138 (22.9%) underwent CT at baseline and 464 (77.1%) patients during follow up. The FIGO (2009) stage distribution at the time of presentation was stage IB: 109 (18.1%); stage IIA: 14 (2.3%), stage IIB: 118 (19.6%), stage IIIA: 12 (2%), stage IIIB: 277 (46%), stage IVA: 20 (3.3%) and stage IVB: 52 (8.6%). Ninety of the 138 (65.22%) patients underwent a stage shift according to the FIGO 2018 because of the presence of enlarged lymph nodes at baseline scan. Sixteen (2.7%) patients had infiltrative nodal masses most commonly involving the blood vessels (n=14) followed by ureter (n=8), bones (n=5), muscle and bowel (n=3, each). The majority (14/16) of these patients presented with vague abdominal pain, discomfort and vomiting, while two had bone pain. INTERPRETATION & CONCLUSIONS CECT at baseline helps in accurately assessing the stage in cervical carcinoma. It helps in the identification of lymph node metastasis in cervical carcinoma, which is crucial for guiding accurate management.
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Affiliation(s)
- Ekta Dhamija
- Department of Radiodiagnosis, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India,For correspondence: Dr Ekta Dhamija, Room Number 137, First Floor, Department of Radiodiagnosis, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi 110 029, India e-mail:
| | - Akhil Baby
- Department of Radiodiagnosis, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Neerja Bhatla
- Department of Obstetrics & Gynaecology, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Vishnu Prasad Pulappadi
- Department of Radiodiagnosis, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Mukesh Kumar
- Department of Radiodiagnosis, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Sunesh Kumar
- Department of Obstetrics & Gynaecology, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Lalit Kumar
- Department of Medical Oncology, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Dayanand Sharma
- Department of Radiation Oncology, Dr B.R. Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
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HPV Status and Individual Characteristics of Human Papillomavirus Infection as Predictors for Clinical Outcome of Locally Advanced Cervical Cancer. J Pers Med 2021; 11:jpm11060479. [PMID: 34071821 PMCID: PMC8227948 DOI: 10.3390/jpm11060479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 01/08/2023] Open
Abstract
This study is aimed at searching for an informative predictor of the clinical outcome of cervical cancer (CC) patients. The study included 135 patients with locally advanced cervical cancer (FIGO stage II-III) associated with human papillomavirus (HPV) 16/18 types or negative status of HPV infection. Using logistic regression, we analyzed the influence of the treatment method, clinical and morphological characteristics, and the molecular genetic parameters of HPV on the disease free survival (DFS) of patients treated with radiotherapy or chemoradiotherapy. Multivariate analysis revealed three factors that have prognostic significance for DFS, i.e., HPV-related biomarker (HPV-negativity or HPV DNA integration into the cell genome) (OR = 9.67, p = 1.2 × 10-4), stage of the disease (OR = 4.69, p = 0.001) and age (OR = 0.61, p = 0.025). The predictive model has a high statistical significance (p = 5.0 × 10-8; Nagelkirk's R2 = 0.336), as well as sensitivity (Se = 0.74) and specificity (Sp = 0.75). Thus, simultaneous accounting for the clinical and molecular genetic predictors (stage of the disease, patient age and HPV-related biomarker) makes it possible to effectively differentiate patients with prognostically favorable and unfavorable outcome of the disease.
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Tavakoli F, Khatami SS, Momeni F, Azadbakht J, Ghasemi F. Cervical Cancer Diagnosis: Insights into Biochemical Biomarkers and Imaging Techniques. Comb Chem High Throughput Screen 2021; 24:605-623. [PMID: 32875976 DOI: 10.2174/1386207323666200901101955] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 07/14/2020] [Accepted: 08/06/2020] [Indexed: 11/22/2022]
Abstract
Cervical malignancy is known as one of the important cancers which is originated from cervix. This malignancy has been observed in women infected with papillomavirus who had regular oral contraceptives, multiple pregnancies, and sexual relations. Early and fast cervical cancer diagnosis is known as two important aspects of cervical cancer therapy. Several investigations indicated that early and fast detection of cervical cancer could be associated with better treatment process and increasing survival rate of patients with this malignancy. Imaging techniques are very important diagnosis tools that could be employed for diagnosis and following responses to therapy in various cervical cancer stages. Multiple lines of evidence indicated that utilization of imaging techniques is related to some limitations (i.e. high cost, and invasive effects). Hence, it seems that along with using imaging techniques, finding and developing new biomarkers could be useful in the diagnosis and treatment of subjects with cervical cancer. Taken together, many studies showed that a variety of biomarkers including, several proteins, mRNAs, microRNAs, exosomes and polymorphisms might be introduced as prognostic, diagnostic and therapeutic biomarkers in cervical cancer therapy. In this review article, we highlighted imaging techniques as well as novel biomarkers for the diagnosis of cervical cancer.
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Affiliation(s)
- Fatemeh Tavakoli
- Department of Biotechnology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sara Sadat Khatami
- Department of Biotechnology, Faculty of Medicine, Arak University of Medical Sciences, Arak, Iran
| | - Fatemeh Momeni
- Isfahan Research Committee of Multiple Sclerosis, Alzahra Research Institute, Alzahra Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Javid Azadbakht
- Department of Radiology and Imaging, Kashan University of Medical Science, Kashan, Iran
| | - Faezeh Ghasemi
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran
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Arezzo F, La Forgia D, Venerito V, Moschetta M, Tagliafico AS, Lombardi C, Loizzi V, Cicinelli E, Cormio G. A Machine Learning Tool to Predict the Response to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Cancer. APPLIED SCIENCES 2021; 11:823. [DOI: 10.3390/app11020823] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Abstract
Despite several studies having identified factors associated with successful treatment outcomes in locally advanced cervical cancer, there is the lack of accurate predictive modeling for progression-free survival (PFS) in patients who undergo radical hysterectomy after neoadjuvant chemotherapy (NACT). Here we investigated whether machine learning (ML) may have the potential to provide a tool to predict neoadjuvant treatment response as PFS. In this retrospective observational study, we analyzed patients with locally advanced cervical cancer (FIGO stages IB2, IB3, IIA1, IIA2, IIB, and IIIC1) who were followed in a tertiary center from 2010 to 2018. Demographic and clinical characteristics were collected at either treatment baseline or at 24-month follow-up. Furthermore, we recorded data about magnetic resonance imaging (MRI) examinations and post-surgery histopathology. Proper feature selection was used to determine an attribute core set. Three different machine learning algorithms, namely Logistic Regression (LR), Random Forest (RFF), and K-nearest neighbors (KNN), were then trained and validated with 10-fold cross-validation to predict 24-month PFS. Our analysis included n. 92 patients. The attribute core set used to train machine learning algorithms included the presence/absence of fornix infiltration at pre-treatment MRI as well as of either parametrium invasion and lymph nodes involvement at post-surgery histopathology. RFF showed the best performance (accuracy 82.4%, precision 83.4%, recall 96.2%, area under receiver operating characteristic curve (AUROC) 0.82). We developed an accurate ML model to predict 24-month PFS.
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Staley SA, Tucker KR, Gehrig PA, Clark LH. Accuracy of preoperative cross-sectional imaging in cervical cancer patients undergoing primary radical surgery. Gynecol Oncol 2020; 160:384-388. [PMID: 33213900 DOI: 10.1016/j.ygyno.2020.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 11/01/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE We aim to describe the false negative (FN) and false positive (FP) rates of preoperative cross-sectional imaging (PCI) prior to radical surgery for cervical cancer. METHODS A retrospective cohort study of patients who underwent radical hysterectomy for early-stage cervical cancer from January 2010 until December 2017 at a single tertiary care center was performed. Patients were included if they underwent preoperative PCI and radical surgery. Patient demographics and clinicopathologic information were recorded from medical record review. Descriptive statistics were used. RESULTS Overall, 106 patients met inclusion criteria. Eighty-four percent (89/106) of patients had no suspicion for metastatic disease on PCI, while 16% (17/106) had suspicion for metastatic disease. Of the 89 without suspicion for metastatic disease on PCI, 16% (14/89) had a false negative study with metastatic disease identified on final surgical pathology. False negative rates by modality were 16% (11/70) for PET/CT and 6% (2/33) for diagnostic CT. Of the 17 cases with suspicion for metastatic disease on imaging, 53% (9/17) were false positive studies with no metastatic disease identified histologically. False positive rates by modality were 7% (5/70) for PET/CT and 12% (4/33) for diagnostic CT. CONCLUSION PCI is a tool to help identify patients who are optimal candidates for radical surgery. In this sample, the false negative rate was 16%, and false positive rate was 53% for PCI among women who underwent primary radical surgery. Further study is needed to explore preoperative testing that may more accurately identify optimal surgical candidates.
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Affiliation(s)
- S Allison Staley
- Gynecologic Oncologist, Rocky Mountain Gynecologic Oncology, Swedish Medical Center, Denver, CO, United States of America.
| | - Katherine R Tucker
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, United States of America
| | - Paola A Gehrig
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, United States of America
| | - Leslie H Clark
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC, United States of America
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Zhang Z, He D, Song Y, Yan Z, Wang X, Shao J, Hou Z. Exploring the Inter-voxel Information in Pharmacokinetic Maps for Cervical Carcinoma Prediction. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:1477-1480. [PMID: 33018270 DOI: 10.1109/embc44109.2020.9176233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Physiological parameters can be estimated from dynamic contrast enhanced magnetic resonance imaging (DCEMRI) data using pharmacokinetic models. This work evaluates the performance of various pharmacokinetic models through a retrospective study on cervix cancer, including two generalized kinetic models and three 2-compartment exchange models (2CXMs). In the current clinical practice, region of interest (ROI) is treated as a whole and the models are assessed by their top pharmacokinetic parameters. We explore the intervoxel relationship in the pharmacokinetic parameter maps and demonstrate that, for those insignificant parameters, texture descriptors can largely improve their discriminative power. Multi-parametric classifiers are developed to fuse the information carried by physiological parameters and the descriptors. Assessed merely by the top parameter, the DP (distributed parameter) model is the best one with an area under the ROC (receiver operating characteristic) curve (AUC) of 0.80; by combining multiple pharmacokinetic parameters, the ExTofts model is the winner with an AUC of 0.837. Finally, the classifier of the AATH (adiabatic approximation to the tissue homogeneity) model build on combined features achieves an AUC of 0.92.Clinical Relevance - Using data from 36 cervical cancer patients and 17 normal subjects, this work quantitatively compared the various pharmacokinetic models and provided recommendations for model selection in cervical cancer diagnosis.
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Nazir A, Matthews R, Chimpiri AR, Henretta M, Varughese J, Franceschi D. Fluorodeoxyglucose positron-emission tomography-magnetic resonance hybrid imaging: An emerging tool for staging of cancer of the uterine cervix. World J Nucl Med 2020; 20:150-155. [PMID: 34321967 PMCID: PMC8285997 DOI: 10.4103/wjnm.wjnm_53_20] [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: 04/16/2020] [Revised: 05/04/2020] [Accepted: 05/06/2020] [Indexed: 12/24/2022] Open
Abstract
Positron-emission tomography-magnetic resonance imaging (PET-MRI) is an emerging hybrid imaging modality that utilizes the superior soft tissue resolution of MR with the metabolic data from PET. In this study, we sought to assess the clinical value of fluorodeoxyglucose (FDG) PET-MRI with dedicated pelvic PET-MR in the initial staging of cervical cancer. In this institutional-approved study, we identified 23 adult females who underwent FDG PET-MRI on hybrid camera for staging of primary uterine cervical cancer that included a dedicated PET-MR of the pelvis. A nuclear medicine physician and a radiologist reviewed the PET, MRI, and fusion-body and pelvis images alone and then with consensus read characterizing PET and MR abnormal findings. There were 23 patients who underwent FDG PET-MRI for initial staging of cervical cancer with an average age of 52.2 ± 14.0 years. A total of 23 suspected lymph nodes in eight different patients were detected within the pelvis with increased metabolic activity on PET. Both the dedicated pelvis and whole-body PET imaging detected the same corresponding pelvic lymph nodes, although the pelvic PET imaging had better lymph node uptake delineation due to longer acquisition time. Using a 10-mm short-axis criterion, MRI identified only 43.5% of the FDG avid lymph nodes. The average SUVmax on the pelvis PET sequences was higher with SUV 8.9 ± 5.2 compared to the whole-body PET with SUV 7.8 ± 5.4 but was not statistically significant (P > 0.05). Primary cervical cancer was identified in 18 patients on both PET imaging and MRI with dedicated MR pelvis providing better characterization. Based on our results of the patients with cervical cancer evaluated for initial staging, combining dedicated pelvic PET-MRI with whole-body PET/MR provides the most complete status of malignant disease in reference to delineation of primary tumor, involvement of surrounding tissues, and regional lymph nodes.
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Affiliation(s)
- Alina Nazir
- Department of Radiology, Stony Brook University Hospital in Stony Brook, NY, USA
| | - Robert Matthews
- Department of Radiology, Stony Brook University Hospital in Stony Brook, NY, USA
| | | | - Melissa Henretta
- Division of Gynecologic Oncology, Trinity Health of New England, Hartford, CT, USA
| | - Joyce Varughese
- Gynecologic Oncology, Capital Health Surgical Group, Pennington, NJ, USA
| | - Dinko Franceschi
- Department of Radiology, Stony Brook University Hospital in Stony Brook, NY, USA
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Gulati P, Agarwal A, Gulati V. Cervical Malignancies: Status of MRI. INDIAN JOURNAL OF GYNECOLOGIC ONCOLOGY 2020. [DOI: 10.1007/s40944-020-00437-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Jin X, Ai Y, Zhang J, Zhu H, Jin J, Teng Y, Chen B, Xie C. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images. Eur Radiol 2020; 30:4117-4124. [PMID: 32078013 DOI: 10.1007/s00330-020-06692-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 12/18/2019] [Accepted: 01/30/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVE To investigate the feasibility of a noninvasive detection of lymph node metastasis (LNM) for early-stage cervical cancer (ECC) patients with radiomics methods based on the textural features from ultrasound images. METHODS One hundred seventy-two ECC patients between January 2014 and September 2018 with pathologically confirmed lymph node status (LNS) and preoperative ultrasound images were retrospectively reviewed. Regions of interest (ROIs) were delineated by a senior radiologist in the ultrasound images. LIFEx was applied to extract textural features for radiomics study. Least absolute shrinkage and selection operator (LASSO) regression was applied for dimension reduction and for selection of key features. A multivariable logistic regression analysis was adopted to build the radiomics signature. The Mann-Whitney U test was applied to investigate the correlation between radiomics and LNS for both training and validation cohorts. Receiver operating characteristic (ROC) curves were applied to evaluate the accuracy of the radiomics prediction models. RESULTS A total of 152 radiomics features were extracted from ultrasound images, in which 6 features were significantly associated with LNS (p < 0.05). The radiomics signatures demonstrated a good discrimination between patients with LNM and non-LNM groups. The best radiomics performance model achieved an area under the curve (AUC) of 0.79 (95% confidence interval (CI), 0.71-0.88) in the training cohort and 0.77 (95% CI, 0.65-0.88) in the validation cohort. CONCLUSIONS The feasibility of radiomics features from ultrasound images for the prediction of LNM in ECC was investigated. This noninvasive prediction method may be used to facilitate preoperative identification of LNS in patients with ECC. KEY POINTS • Few studied had investigated the feasibility of radiomics based on ultrasound images for cervical cancer, even though it is the most common practice for gynecological cancer diagnosis and treatment. • The radiomics signatures based on ultrasound images demonstrated a good discrimination between patients with and without lymph node metastasis with an area under the curve (AUC) of 0.79 and 0.77 in the training and validation cohorts, respectively. • The radiomics model based on preoperative ultrasound images has the potential ability to predict lymph node status noninvasively in patients with early-state cervical cancer, so as to reduce the impact of invasive examination and to optimize the treatment choices.
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Affiliation(s)
- Xiance Jin
- Department of Radiation and Medical Oncology, The 1st Affiliated Hospital of Wenzhou Medical University, Shangcai Village, Wenzhou, 325000, People's Republic of China
| | - Yao Ai
- Department of Radiation and Medical Oncology, The 1st Affiliated Hospital of Wenzhou Medical University, Shangcai Village, Wenzhou, 325000, People's Republic of China
| | - Ji Zhang
- Department of Radiation and Medical Oncology, The 1st Affiliated Hospital of Wenzhou Medical University, Shangcai Village, Wenzhou, 325000, People's Republic of China
| | - Haiyan Zhu
- Department of Gynecology, The 1st Affiliated Hospital of Wenzhou Medical University, Shangcai Village, Wenzhou, 325000, People's Republic of China
- Department of Gynecology, Shanghai First Maternal and Infant Hospital, Tongji University School of Medicine, Shanghai, 200126, People's Republic of China
| | - Juebin Jin
- Department of Medical Engineering, The 1st Affiliated Hospital of Wenzhou Medical University, Shangcai Village, Wenzhou, 325000, People's Republic of China
| | - Yinyan Teng
- Department of Ultrasound imaging, The 1st Affiliated Hospital of Wenzhou Medical University, Shangcai Village, Wenzhou, 325000, People's Republic of China
| | - Bin Chen
- Department of Ultrasound imaging, The 1st Affiliated Hospital of Wenzhou Medical University, Shangcai Village, Wenzhou, 325000, People's Republic of China.
| | - Congying Xie
- Department of Radiation and Medical Oncology, The 1st Affiliated Hospital of Wenzhou Medical University, Shangcai Village, Wenzhou, 325000, People's Republic of China.
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Abstract
OBJECTIVE. In this article, we provide an updated review on the role of imaging in initial staging, treatment monitoring, and follow-up of cervical cancer with a focus on the role of MRI and FDG PET/CT. In addition, the 2018 International Federation of Gynecology and Obstetrics staging system and its implication on management of cervical cancer are explored. CONCLUSION. Imaging plays a major role in treatment planning and as a prognostic indicator in patients with cervical cancer. MRI and PET/CT have complementary roles: MRI is essential for the local staging of the primary tumor, and PET/CT is the most useful modality for detecting regional nodal and distant metastases.
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Diffusion-Weighted MR Imaging Can Differentiate Benign and Malignant Uterine Masses. INDIAN JOURNAL OF GYNECOLOGIC ONCOLOGY 2020. [DOI: 10.1007/s40944-020-00383-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Saleh M, Virarkar M, Javadi S, Elsherif SB, de Castro Faria S, Bhosale P. Cervical Cancer: 2018 Revised International Federation of Gynecology and Obstetrics Staging System and the Role of Imaging. AJR Am J Roentgenol 2020; 214:1182-1195. [DOI: 10.2214/ajr.19.21819] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Affiliation(s)
- Mohammed Saleh
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Mayur Virarkar
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Sanaz Javadi
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Sherif B. Elsherif
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Silvana de Castro Faria
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
| | - Priya Bhosale
- Department of Diagnostic Radiology, MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030
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