☆ 4.1 Article

Imaging of Cervical Pathology

CLINICAL OBSTETRICS AND GYNECOLOGY (2009)

Journal

CLINICAL OBSTETRICS AND GYNECOLOGY

Volume 52, Issue 1, Pages 94-111

Publisher

LIPPINCOTT WILLIAMS & WILKINS

DOI: 10.1097/GRF.0b013e31819617f1

Keywords

cervix; benign; malignant; pathology; MRI

Categories

Obstetrics & Gynecology

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Abstract

A variety of benign and malignant entities affect the uterine cervix. These are discussed and illustrated. Cross-sectional and functional imaging can improve the accuracy of traditional clinical cervical cancer staging, Emphasis is placed on magnetic resonance imaging for initial staging and fused positron emission tomography-computed tomography for restaging and surveillance. The imaging appearance of benign cervical pathology is reviewed with ultrasonography as the first-line imaging modality and magnetic resonance imaging for problem solving in difficult cases.

Authors

I am an author on this paper

Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1

Not enough ratings

Secondary Ratings

Novelty

-

Significance

-

Scientific rigor

-

Rate this paper

Recommended

Article Respiratory System

Differentiation of malignant from benign pleural effusions based on artificial intelligence

Sufei Wang, Xueyun Tan, Piqiang Li, Qianqian Fan, Hui Xia, Shan Tian, Feng Pan, Na Zhan, Rong Yu, Liang Zhang, Yanran Duan, Juanjuan Xu, Yanling Ma, Wenjuan Chen, Yan Li, Zilin Zhao, Chaoyang Liu, Qingjia Bao, Lian Yang, Yang Jin

Summary: This study aimed to construct artificial intelligence models based on thoracic CT images for the segmentation and classification of benign pleural effusion (BPE) and malignant pleural effusion (MPE). The researchers developed a pleural effusion segmentation model (M1) by combining 3D spatially weighted U-Net with 2D classical U-Net. They also built a classification model (M2) for identifying BPE and MPE. The results showed that these deep learning models exhibited promising performance in the segmentation and differential diagnosis of pleural effusions.

THORAX (2023)

Add to Collection

Review Endocrinology & Metabolism

State-of-the-art of topical Photodynamic Therapy in oral benign, malignant and potentially malignant disorders: a scoping review

F. Femiano, R. Femiano, R. Borgia

Summary: This study analyzed the application of photodynamic therapy in the field of oral pathology and oral medicine, aiming to provide insight into its current state and potential role in the future.

JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS (2022)

Add to Collection

Article Oncology

Diagnostic value of the apparent diffusion coefficient in differentiating malignant from benign endometrial lesions

Bojana Scepanovic, Nikola Andjelic, Ljiljana Mladenovic-Segedi, Dusko Kozic, Dusan Vuleta, Una Molnar, Olivera Nikolic

Summary: MRI with DWI and ADC is useful in distinguishing between malignant and benign endometrial lesions, but not effective in differentiating histological grades of endometrial cancer.

FRONTIERS IN ONCOLOGY (2023)

Add to Collection

Article Acoustics

Malignant and Benign Peripheral Nerve Sheath Tumors in a Single Center

Zhenzhen Jin, Chao Wang, Dandan Wang, Xintong Li, Wen Guo, Tao Chen

Summary: The combination of clinical and ultrasound diagnoses can achieve the same effect as MRI in the differential diagnosis between malignant and benign peripheral nerve sheath tumors.

JOURNAL OF ULTRASOUND IN MEDICINE (2023)

Add to Collection

Article Oncology

MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions

Yanjie Zhao, Rong Chen, Ting Zhang, Chaoyue Chen, Muhetaer Muhelisa, Jingting Huang, Yan Xu, Xuelei Ma

Summary: This study suggests that a combination of MRI texture analysis and LDA algorithm is effective in discriminating between benign and malignant breast lesions. Different classification models showed promising results in both training and validation groups, demonstrating potential clinical utility.

FRONTIERS IN ONCOLOGY (2021)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Benign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI

Hong Liu, Menglei Jiao, Yuan Yuan, Hanqiang Ouyang, Jianfang Liu, Yuan Li, Chunjie Wang, Ning Lang, Yueliang Qian, Liang Jiang, Huishu Yuan, Xiangdong Wang

Summary: A multi-model weighted fusion framework based on magnetic resonance imaging (MRI) and age information is proposed for the diagnosis of benign and malignant spinal tumors. The experimental results show that the proposed framework achieves higher accuracy compared to three doctors in both cases with and without age information.

INSIGHTS INTO IMAGING (2022)

Add to Collection

Article Oncology

Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors

Bin Zhang, Lirong Song, Jiandong Yin

Summary: In this study, texture features extracted from intratumoral subregions of breast DCE-MRI showed potential in distinguishing benign from malignant breast tumors. Support vector machine models in the early and late subregions outperformed decision tree models in both the training and validation cohorts.

FRONTIERS IN ONCOLOGY (2021)

Add to Collection

Article Multidisciplinary Sciences

Radiomics of diffusion-weighted MRI compared to conventional measurement of apparent diffusion-coefficient for differentiation between benign and malignant soft tissue tumors

Seung Eun Lee, Joon-Yong Jung, Yoonho Nam, So-Yeon Lee, Hyerim Park, Seung-Han Shin, Yang-Guk Chung, Chan-Kwon Jung

Summary: The study found that using diffusion-weighted imaging (DWI) for radiomics analysis did not provide additional diagnostic value compared to conventional DWI in differentiating benign and malignant soft tissue tumors, with no significant difference between the two in practical application.

SCIENTIFIC REPORTS (2021)

Add to Collection

Article Oncology

MRI-Based Radiomics to Differentiate between Benign and Malignant Parotid Tumors With External Validation

Francesca Piludu, Simona Marzi, Marco Ravanelli, Raul Pellini, Renato Covello, Irene Terrenato, Davide Farina, Riccardo Campora, Valentina Ferrazzoli, Antonello Vidiri

Summary: The study aimed to develop predictive models for distinguishing parotid lesions using MRI-based radiomics with T2-weighted images and ADC maps. Results showed good to excellent diagnostic accuracies in differentiating parotid lesions, which were confirmed with an external validation cohort after utilizing qualitative scores evaluating margins and CE.

FRONTIERS IN ONCOLOGY (2021)

Add to Collection

Article Engineering, Biomedical

Multi-parametric MRI based radiomics with tumor subregion partitioning for differentiating benign and malignant soft-tissue tumors

Shengjie Shang, Jing Sun, Zhibin Yue, Yingni Wang, Xiaoyu Wang, Yahong Luo, Dazhe Zhao, Tao Yu, Xiran Jiang

Summary: This study utilized MRI-based radiomics approaches to distinguish malignant from benign soft-tissue tumors with handcrafted and deep learning-based features. The findings showed that the fusion radiomics nomogram had the best diagnostic performance, indicating the potential clinical value of tumoral and intratumoral radiomics in soft-tissue tumor diagnosis.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

Add to Collection

Article Oncology

Blood Oxygenation Level Dependent Magnetic Resonance Imaging (MRI), Dynamic Contrast Enhanced MRI, and Diffusion Weighted MRI for Benign and Malignant Breast Cancer Discrimination: A Preliminary Experience

Roberta Fusco, Vincenza Granata, Mauro Mattace Raso, Paolo Vallone, Alessandro Pasquale De Rosa, Claudio Siani, Maurizio Di Bonito, Antonella Petrillo, Mario Sansone

Summary: The study aimed to differentiate benign and malignant breast lesions by combining BOLD-MRI, DCE-MRI, and DW-MRI, but found that the combined use of these imaging techniques did not provide a significant improvement compared to using DCE-MRI alone. An interesting result was the negative correlation between R-2* and D.

CANCERS (2021)

Add to Collection

Article Cardiac & Cardiovascular Systems

Multimodality imaging to distinguish between benign and malignant cardiac masses

Ayaz Aghayev, Michael K. Cheezum, Michael L. Steigner, Negareh Mousavi, Robert Padera, Ana Barac, Raymond Y. Kwong, Marcelo F. Di Carli, Ron Blankstein

Summary: The study compared the diagnostic accuracy and complementary role of CMR and FDG-PET/CT in distinguishing benign vs malignant cardiac masses, finding that the combination of these modalities can provide complementary value in select cases.

JOURNAL OF NUCLEAR CARDIOLOGY (2022)

Add to Collection

Article Multidisciplinary Sciences

Texture analysis of magnetic resonance image to differentiate benign from malignant myxoid soft tissue tumors: A retrospective comparative study

Hyunsik Chang, Yusuhn Kang, Joong Mo Ahn, Eugene Lee, Joon Woo Lee, Heung Sik Kang

Summary: It is important to differentiate between benign and malignant myxoid tumors for treatment planning and surgical extent determination. Texture analysis can quantitatively assess imaging characteristics, but has limited additive value in differentiating benign from malignant myxoid tumors.

PLOS ONE (2022)

Add to Collection

Article Medicine, General & Internal

Differentiation of Benign and Malignant Breast Lesions Using ADC Values and ADC Ratio in Breast MRI

Silvia Tsvetkova, Katya Doykova, Anna Vasilska, Katya Sapunarova, Daniel Doykov, Vladimir Andonov, Petar Uchikov

Summary: DWI, ADC values, and ADC ratios are valuable additional techniques for distinguishing between benign and malignant breast lesions, with high sensitivity and specificity.

DIAGNOSTICS (2022)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Investigation of Synthetic Relaxometry and Diffusion Measures in the Differentiation of Benign and Malignant Breast Lesions as Compared to BI-RADS

Weibo Gao, Shuqun Zhang, Jinxia Guo, Xiaocheng Wei, Xiaohui Li, Yan Diao, Wei Huang, Yue Yao, Ali Shang, Yanyan Zhang, Quanxin Yang, Xin Chen

Summary: The study found that the combination of synthetic MRI and DWI outperformed the BI-RADS system in differentiating malignant and benign breast lesions, and did so without the need for contrast agents. This approach may serve as an alternative and effective strategy for improving breast lesion differentiation.

JOURNAL OF MAGNETIC RESONANCE IMAGING (2021)

Add to Collection

Review Radiology, Nuclear Medicine & Medical Imaging

Imaging features of haematological malignancies of kidneys

K. Sandrasegaran, C. O. Menias, S. Verma, A. Abdelbaki, A. Shaaban, K. M. Elsayes

CLINICAL RADIOLOGY (2016)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Revised Atlanta Classification for Acute Pancreatitis: A Pictorial Essay

Bryan R. Foster, Kyle K. Jensen, Gene Bakis, Akram M. Shaaban, Fergus V. Coakley

RADIOGRAPHICS (2016)

Add to Collection

Article Cardiac & Cardiovascular Systems

Rapid rest/stress regadenoson ungated perfusion CMR for detection of coronary artery disease in patients with atrial fibrillation

Erik T. Bieging, I. Haider, G. Adluru, L. Chang, P. Suksaranjit, D. Likhite, A. Shaaban, L. Jensen, B. D. Wilson, C. J. McGann, E. DiBella

INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING (2017)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Imaging of Hereditary Tumors of the Female Genital System

Sarah M. Rothan, Christine O. Menias, Yehia M. ElGuindy, Corey T. Jensen, Akram M. Shaaban, Priya Bhosale, Michelle V. Lee, Venkata S. Katabathina, Khaled M. Elsayes

JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY (2017)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Beyond the Bowel: Extraintestinal Manifestations of Inflammatory Bowel Disease

Jeffrey D. Olpin, Brett P. Sjoberg, Sarah E. Stilwill, Leif E. Jensen, Maryam Rezvani, Akram M. Shaaban

RADIOGRAPHICS (2017)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Nongynecologic Findings Seen at Pelvic US

Akram M. Shaaban, Maryam Rezvani, Jeffrey D. Olpin, Anne M. Kennedy, Ayman H. Gaballah, Bryan R. Foster, Christine O. Menias, Khaled M. Elsayes

RADIOGRAPHICS (2017)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Heterotopic Pancreas: Histopathologic Features, Imaging Findings, and Complications1

Maryam Rezvani, Christine Menias, Kumaresan Sandrasegaran, Jeffrey D. Olpin, Khaled M. Elsayes, Akram M. Shaaban

RADIOGRAPHICS (2017)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

A Comprehensive Approach to Hepatic Vascular Disease

Khaled M. Elsayes, Akram M. Shaaban, Sarah M. Rothan, Sanaz Javadi, Beatrice L. Madrazo, Rosa P. Castillo, Victor J. Casillas, Christine O. Menias

RADIOGRAPHICS (2017)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Gestational Trophoblastic Disease: Clinical and Imaging Features1

Akram M. Shaaban, Maryam Rezvani, Reham R. Haroun, Anne M. Kennedy, Khaled M. Elsayes, Jeffrey D. Olpin, Mohamed E. Salama, Bryan R. Foster, Christine O. Menias

RADIOGRAPHICS (2017)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Genital and reproductive organ complications of Crohn disease: technical considerations as it relates to perianal disease, imaging features, and implications on management

Steven Kammann, Christine Menias, Amy Hara, Mariam Moshiri, Cary Siegel, Bashar Safar, Steven Brandes, Akram Shaaban, Kumar Sandrasegaran

ABDOMINAL RADIOLOGY (2017)

Add to Collection

Review Radiology, Nuclear Medicine & Medical Imaging

Spectrum of Pitfalls, Pseudolesions, and Misdiagnoses in Noncirrhotic Liver

Khaled M. Elsayes, Christine O. Menias, Ali I. Morshid, Akram M. Shaaban, Kathryn J. Fowler, An Tang, Victoria Chernyak, Janio Szklaruk, Mustafa R. Bashir

AMERICAN JOURNAL OF ROENTGENOLOGY (2018)

Add to Collection

Review Radiology, Nuclear Medicine & Medical Imaging

Liver Calcifications and Calcified Liver Masses: Pattern Recognition Approach on CT

Madhavi Patnana, Christine O. Menias, Perry J. Pickhardt, Mohamed Elshikh, Sanaz Javadi, Ayman Gaballah, Akram M. Shaaban, Brinda Rao Korivi, Naveen Garg, Khaled M. Elsayes

AMERICAN JOURNAL OF ROENTGENOLOGY (2018)

Add to Collection

Article Radiology, Nuclear Medicine & Medical Imaging

Villous Gastrointestinal Tumors: Multimodality Imaging with Histopathologic Correlation

Meghan G. Lubner, Christine O. Menias, Rashad J. Johnson, Ayman H. Gaballah, Akram Shaaban, Khaled M. Elsayes

RADIOGRAPHICS (2018)

Add to Collection

Review Radiology, Nuclear Medicine & Medical Imaging

Pancreatic Calcifications and Calcified Pancreatic Masses: Pattern Recognition Approach on CT

Sanaz Javadi, Christine O. Menias, Brinda Rao Korivi, Akram M. Shaaban, Madhavi Patnana, Kinan Alhalabi, Khaled M. Elsayes

AMERICAN JOURNAL OF ROENTGENOLOGY (2017)

Add to Collection

Review Radiology, Nuclear Medicine & Medical Imaging

Adrenal cortical hyperplasia: diagnostic workup, subtypes, imaging features and mimics

Michelle M. Agrons, Corey T. Jensen, Mouhammed Amir Habra, Christine O. Menias, Akram M. Shaaban, Nicolaus A. Wagner-Bartak, Alicia M. Roman-Colon, Khaled M. Elsayes

BRITISH JOURNAL OF RADIOLOGY (2017)

Add to Collection

No Data Available

© Peeref 2019-2024. All rights reserved.