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Moradi B, Hejazian SS, Tahamtan M, Ghorani H, Karami S. Imaging the post-treatment pelvis with gynecologic cancers. Abdom Radiol (NY) 2024; 49:1248-1263. [PMID: 38340181 DOI: 10.1007/s00261-023-04163-x] [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: 05/15/2023] [Revised: 12/05/2023] [Accepted: 12/14/2023] [Indexed: 02/12/2024]
Abstract
Gynecological malignancies, such as ovarian cancers, cervical cancers, and endometrial cancers, have a significant global impact. Women with gynecologic malignancies may receive a single or a combination of treatments, including surgery, chemotherapy, and radiation-based therapies. Radiologists utilize various diagnostic imaging modalities to provide the surgeon with relevant information about the diagnosis, prognosis, optimal surgical strategy, and prospective post-treatment imaging. Computerized Tomography (CT) and magnetic resonance imaging (MRI) may be used initially to evaluate and detect post-treatment complications. Although CT is primarily used for staging, MRI is commonly used for a more accurate evaluation of a tumor's size and detection of local invasion. Complications such as hematoma, abscess, inclusion cyst, seroma, tumor thrombosis, anorectovaginal fistula, and gossypiboma may occur after the three primary treatments, and systems such as the genitourinary, gastrointestinal, neurological, and musculoskeletal may be affected. In order to distinguish between early-onset and late-onset complications following gynecological treatment, radiological findings of the most common post-treatment complications will be presented in this review.
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Affiliation(s)
- Behnaz Moradi
- Department of Radiology, Women's Yas Hospital, Tehran, Iran
- Department of Radiology, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyyed Sina Hejazian
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammadreza Tahamtan
- Department of Radiology, Tehran University of Medical Sciences, Tehran, Iran
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Ghorani
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shaghayegh Karami
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
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2
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Avesani G, Perazzolo A, Amerighi A, Celli V, Panico C, Sala E, Gui B. The Utility of Contrast-Enhanced Magnetic Resonance Imaging in Uterine Cervical Cancer: A Systematic Review. Life (Basel) 2023; 13:1368. [PMID: 37374150 DOI: 10.3390/life13061368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/03/2023] [Accepted: 06/07/2023] [Indexed: 06/29/2023] Open
Abstract
Correct staging of cervical cancer is essential to establish the best therapeutic procedure and prognosis for the patient. MRI is the best imaging modality for local staging and follow-up. According to the latest ESUR guidelines, T2WI and DWI-MR sequences are fundamental in these settings, and CE-MRI remains optional. This systematic review, according to the PRISMA 2020 checklist, aims to give an overview of the literature regarding the use of contrast in MRI in cervical cancer and provide more specific indications of when it may be helpful. Systematic searches on PubMed and Web Of Science (WOS) were performed, and 97 papers were included; 1 paper was added considering the references of included articles. From our literature review, it emerged that many papers about the use of contrast in cervical cancer are dated, especially about staging and detection of tumor recurrence. We did not find strong evidence suggesting that CE-MRI is helpful in any clinical setting for cervical cancer staging and detection of tumor recurrence. There is growing evidence that perfusion parameters and perfusion-derived radiomics models might have a role as prognostic and predictive biomarkers, but the lack of standardization and validation limits their use in a research setting.
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Affiliation(s)
- Giacomo Avesani
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy
| | - Alessio Perazzolo
- Department of Radiological and Hematological Sciences, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Andrea Amerighi
- Department of Radiological and Hematological Sciences, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Veronica Celli
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy
| | - Camilla Panico
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy
| | - Evis Sala
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy
| | - Benedetta Gui
- Department of Diagnostic Imaging, Oncological Radiotherapy and Hematology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy
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3
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Basta Nikolic M, Spasic A, Hadnadjev Simonji D, Stojanović S, Nikolic O, Nikolic D. Imaging of acute pelvic pain. Br J Radiol 2021; 94:20210281. [PMID: 34491817 DOI: 10.1259/bjr.20210281] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Acute pelvic pain (APP) requires urgent medical evaluation and treatment. Differential diagnosis of APP is broad, including a variety of gynecologic and non-gynecologic/ urinary, gastrointestinal, vascular and other entities. Close anatomical and physiological relations of pelvic structures, together with similar clinical presentation of different disorders and overlapping of symptoms, especially in the emergency background, make the proper diagnosis of APP challenging. Imaging plays a crucial role in the fast and precise diagnosis of APP. Ultrasonography is the first-line imaging modality, often accompanied by CT, while MRI is utilized in specific cases, using short, tailored protocols. Recognizing the cause of APP in females is a challenging task, due to the wide spectrum of possible origin and overlap of their imaging features. Therefore, the radiologist has to be familiar with the possible causes of APP, and, relying on clinical presentation, together with laboratory findings, choose the best imaging strategy in order to establish a fast and accurate diagnosis.
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Affiliation(s)
- Marijana Basta Nikolic
- Centre of Radiology, Clinical Centre of Vojvodina, Faculty of Medicine, University of Novi Sad, Vojvodina, Serbia
| | - Aleksandar Spasic
- Centre of Radiology, Clinical Centre of Vojvodina, Faculty of Medicine, University of Novi Sad, Vojvodina, Serbia
| | - Darka Hadnadjev Simonji
- Centre of Radiology, Clinical Centre of Vojvodina, Faculty of Medicine, University of Novi Sad, Vojvodina, Serbia
| | - Sanja Stojanović
- Centre of Radiology, Clinical Centre of Vojvodina, Faculty of Medicine, University of Novi Sad, Vojvodina, Serbia
| | - Olivera Nikolic
- Centre of Radiology, Clinical Centre of Vojvodina, Faculty of Medicine, University of Novi Sad, Vojvodina, Serbia
| | - Dragan Nikolic
- Clinic for Vascular and Endovascular Surgery, Clinical Centre of Vojvodina, Faculty of Medicine, University of Novi Sad, Vojvodina, Serbia
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Albano D, Benenati M, Bruno A, Bruno F, Calandri M, Caruso D, Cozzi D, De Robertis R, Gentili F, Grazzini I, Micci G, Palmisano A, Pessina C, Scalise P, Vernuccio F, Barile A, Miele V, Grassi R, Messina C. Imaging side effects and complications of chemotherapy and radiation therapy: a pictorial review from head to toe. Insights Imaging 2021; 12:76. [PMID: 34114094 PMCID: PMC8192650 DOI: 10.1186/s13244-021-01017-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 05/18/2021] [Indexed: 02/08/2023] Open
Abstract
Newer biologic drugs and immunomodulatory agents, as well as more tolerated and effective radiation therapy schemes, have reduced treatment toxicity in oncology patients. However, although imaging assessment of tumor response is adapting to atypical responses like tumor flare, expected changes and complications of chemo/radiotherapy are still routinely encountered in post-treatment imaging examinations. Radiologists must be aware of old and newer therapeutic options and related side effects or complications to avoid a misinterpretation of imaging findings. Further, advancements in oncology research have increased life expectancy of patients as well as the frequency of long-term therapy-related side effects that once could not be observed. This pictorial will help radiologists tasked to detect therapy-related complications and to differentiate expected changes of normal tissues from tumor relapse.
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Affiliation(s)
- Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161, Milan, Italy. .,Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università Degli Studi di Palermo, Via del Vespro 127, 90127, Palermo, Italy. .,Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy.
| | - Massimo Benenati
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy.,Dipartimento di Diagnostica per Immagini, Radioterapia, Oncologia ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Antonio Bruno
- Diagnostic and Interventional Radiology Unit, Maggiore Hospital "C. A. Pizzardi", 40133, Bologna, Italy
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy.,Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, 67100, L'Aquila, Italy
| | - Marco Calandri
- Radiology Unit, A.O.U. San Luigi Gonzaga di Orbassano, Department of Oncology, University of Torino, 10043, Turin, Italy
| | - Damiano Caruso
- Department of Surgical and Medical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy
| | - Diletta Cozzi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy.,Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50123, Florence, Italy
| | - Riccardo De Robertis
- U.O.C. Radiologia BT, Ospedale Civile Maggiore - Azienda Ospedaliera Universitaria Integrata Verona, Piazzale A. Stefani 1, 37126, Verona, Italy
| | - Francesco Gentili
- Unit of Diagnostic Imaging, Department of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Irene Grazzini
- Department of Radiology, Section of Neuroradiology, San Donato Hospital, Arezzo, Italy
| | - Giuseppe Micci
- Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università Degli Studi di Palermo, Via del Vespro 127, 90127, Palermo, Italy.,Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy
| | - Anna Palmisano
- Experimental Imaging Centre, Radiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,School of Medicine, Vita-Salute San Raffaele University, via Olgettina 58, 20132, Milan, Italy
| | - Carlotta Pessina
- Department of Radiology, University of Brescia, Piazzale Spedali Civili 1, 25123, Brescia, Italy
| | - Paola Scalise
- Department of Diagnostic Imaging, Pisa University Hospital, Via Paradisa 2, 56124, Pisa, Italy
| | - Federica Vernuccio
- Sezione di Scienze Radiologiche, Dipartimento di Biomedicina, Neuroscienze e Diagnostica Avanzata, Università Degli Studi di Palermo, Via del Vespro 127, 90127, Palermo, Italy
| | - Antonio Barile
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, 67100, L'Aquila, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50123, Florence, Italy
| | - Roberto Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy.,Department of Precision Medicine, University of Campania "L. Vanvitelli", 80138, Naples, Italy
| | - Carmelo Messina
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161, Milan, Italy
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Moreira ASL, Cunha TM, Esteves S. Cervical cancer recurrence - can we predict the type of recurrence? ACTA ACUST UNITED AC 2020; 26:403-410. [PMID: 32815522 DOI: 10.5152/dir.2020.19437] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE We aimed to identify if there is an association between the severity of cervical cancer at diagnosis and the pattern of recurrence. METHODS We conducted a retrospective study of recurrent cervical cancers diagnosed between 2016 and 2018. We characterized the cases according to histology, size, FIGO stage (according to 2009 and 2018 FIGO classifications) and nodal involvement at diagnosis, symptoms at the time of recurrence, interval between the end of treatment and recurrence, imaging methods used, and location of the recurrence. Statistical analysis was performed between histology, size, FIGO stage and nodal involvement at diagnosis and time to recurrence and type of recurrence (locoregional versus lymph node, distant or multiple site involvement). RESULTS We included 48 patients with recurrent cervical cancer. At diagnosis, mean tumor size was 5 cm and 83% of the patients had squamous cell carcinoma. The FIGO stage changed in 43.8% of patients between the 2009 and the 2018 classifications. A mean of 26 months elapsed between the end of treatment and recurrence. Recurrence was symptomatic in 64.6% of patients. Imaging identified recurrence in 97.9% of patients. The most frequent recurrence sites were locoregional and lymph node metastases. We found a statistically significant association between 2009 FIGO stage and time to recurrence (P = 0.030) and lymph node involvement at diagnosis and type of recurrence (P = 0.022). As expected patients with more advanced disease recurred sooner, though this was only observed for the 2009 FIGO classification. Absence of lymph nodes at initial diagnosis was associated with locoregional recurrence, while presence of lymph node involvement was associated with lymph node, distant or multiple site involvement of recurrence. No other significant associations were found. CONCLUSION In our cohort of recurrent cervical cancer, we found an association between patients without lymph node metastases at initial diagnosis and locoregional recurrence. Further studies are needed in order to evaluate whether this association has predictive value.
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Affiliation(s)
| | | | - Susana Esteves
- Portuguese Oncology Institute of Lisbon Francisco Gentil, Lisbon, Portugal
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6
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Hirshberg B, Rheinboldt M. MDCT Imaging of Acute Bladder Pathology. Curr Probl Diagn Radiol 2019; 49:422-430. [PMID: 31142434 DOI: 10.1067/j.cpradiol.2019.05.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 04/01/2019] [Accepted: 05/07/2019] [Indexed: 11/22/2022]
Abstract
In this review, we will discuss and illustrate the pathophysiology, presentation, and multidetector computed tomography findings associated with emergent bladder conditions, limiting our discussion to traumatic, infectious, and obstructive etiologies. After reviewing computed tomography cystographic technique, the commonly utilized classification systems for bladder trauma will be presented with illustrative examples of associated typical and more infrequent secondary injuries and complications. Next, the pathogenesis and imaging appearance of both mechanical and neurogenic acute urinary retention will be addressed, including less common though potentially pathognomonic obstructive etiologies including urethral calculi and ectopic ureteroceles. Finally, we will review and illustrate the imaging features of both inflammatory and infectious cystitis, including hemorrhagic and emphysematous variants, as well as the potentially encountered secondary complications.
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Affiliation(s)
- Benjamin Hirshberg
- Department of Diagnostic Radiology, Emergency Radiology Division, Henry Ford Hospital, Detroit, MI
| | - Matthew Rheinboldt
- Department of Diagnostic Radiology, Emergency Radiology Division, Henry Ford Hospital, Detroit, MI.
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7
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Omisore OM, Han S, Ren L, Elazab A, Hui L, Abdelhamid T, Azeez NA, Wang L. Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots. Neural Netw 2018; 107:34-47. [PMID: 30241968 DOI: 10.1016/j.neunet.2018.06.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2017] [Revised: 02/20/2018] [Accepted: 06/28/2018] [Indexed: 10/28/2022]
Abstract
Recently, snake-like robots are proposed to assist experts during medical procedures on internal organs via natural orifices. Despite their well-spelt advantages, applications in radiosurgery is still hindered by absence of suitable designs required for spatial navigations within clustered and confined parts of human body, and inexistence of precise and fast inverse kinematics (IK) models. In this study, a deeply-learnt damped least squares method is proposed for solving IK of spatial snake-like robot. The robot's model consists of several modules, and each module has a pair of serial-links connected with orthogonal twists. For precise control of the robot's end-effector, damped least-squares approach is used to minimize error magnitude in a function modeled over analytical Jacobian of the robot. This is iteratively done until an apt joint vector needed to converge the robot to desired positions is obtained. For fast control and singularity avoidance, a deep network is built for prediction of unique damping factor required for each target point in the robot's workspace. The deep network consists of 11 x 15 array of neurons at the hidden layer, and deeply-learnt with a huge dataset of 877,500 data points generated from workspace of the snake robot. Implementation results for both simulated and actual prototype of an eight-link model of the robot show the effectiveness of the proposed IK method. With error tolerance of 0.01 mm, the proposed method has a very high reachability measure of 91.59% and faster mean execution time of 9.20 (±16.92) ms for convergence. In addition, the method requires an average of 33.02 (±39.60) iterations to solve the IK problem. Hence, approximately 3.6 iterations can be executed in 1 ms. Evaluation against popularly used IK methods shows that the proposed method has very good performance in terms of accuracy and speed, simultaneously.
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Affiliation(s)
- Olatunji Mumini Omisore
- Research Centre for Medical Robotics and Minimally Invasive Surgical Devices, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China; CAS Key Laboratory for Health Informatics, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China.
| | - Shipeng Han
- Research Centre for Medical Robotics and Minimally Invasive Surgical Devices, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China.
| | - Lingxue Ren
- Research Centre for Medical Robotics and Minimally Invasive Surgical Devices, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China.
| | - Ahmed Elazab
- Computer Science Department, Misr Higher Institute for Commerce and Computers, Mansoura City, Egypt; School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China.
| | - Li Hui
- Research Centre for Medical Robotics and Minimally Invasive Surgical Devices, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China.
| | - Talaat Abdelhamid
- Physics and Mathematical Engineering Department, Faculty of Electronic Engineering, Menoufiya University, Menouf 32952, Egypt.
| | - Nureni Ayofe Azeez
- School of Computer Science and Information, North-West University, Vaal Triangle Campus, South Africa; Department of Computer Sciences, University of Lagos, Akoka, Lagos State, Nigeria.
| | - Lei Wang
- Research Centre for Medical Robotics and Minimally Invasive Surgical Devices, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, China; CAS Key Laboratory for Health Informatics, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China.
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8
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Lucas R, Lopes Dias J, Cunha TM. Added value of diffusion-weighted MRI in detection of cervical cancer recurrence: comparison with morphologic and dynamic contrast-enhanced MRI sequences. Diagn Interv Radiol 2016. [PMID: 26200480 DOI: 10.5152/dir.2015.14427] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE We aimed to evaluate the added value of diffusion-weighted imaging (DWI) to standard magnetic resonance imaging (MRI) for detecting post-treatment cervical cancer recurrence. The detection accuracy of T2-weighted (T2W) images was compared with that of T2W MRI combined with either dynamic contrast-enhanced (DCE) MRI or DWI. METHODS Thirty-eight women with clinically suspected uterine cervical cancer recurrence more than six months after treatment completion were examined with 1.5 Tesla MRI including T2W, DCE, and DWI sequences. Disease was confirmed histologically and correlated with MRI findings. The diagnostic performance of T2W imaging and its combination with either DCE or DWI were analyzed. Sensitivity, positive predictive value, and accuracy were calculated. RESULTS Thirty-six women had histologically proven recurrence. The accuracy for recurrence detection was 80% with T2W/DCE MRI and 92.1% with T2W/DWI. The addition of DCE sequences did not significantly improve the diagnostic ability of T2W imaging, and this sequence combination misclassified two patients as falsely positive and seven as falsely negative. The T2W/DWI combination revealed a positive predictive value of 100% and only three false negatives. CONCLUSION The addition of DWI to T2W sequences considerably improved the diagnostic ability of MRI. Our results support the inclusion of DWI in the initial MRI protocol for the detection of cervical cancer recurrence, leaving DCE sequences as an option for uncertain cases.
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Affiliation(s)
- Rita Lucas
- Department of Radiology, Hospital de Santo António dos Capuchos, CHLC, Lisboa, Portugal.
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9
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Tonolini M, Ippolito S. Cross-sectional imaging of complicated urinary infections affecting the lower tract and male genital organs. Insights Imaging 2016; 7:689-711. [PMID: 27271509 PMCID: PMC5028337 DOI: 10.1007/s13244-016-0503-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 05/17/2016] [Accepted: 05/24/2016] [Indexed: 01/08/2023] Open
Abstract
Complicated urinary tract infections (C-UTIs) are those associated with structural or functional genitourinary abnormalities or with conditions that impair the host defence mechanisms, leading to an increased risk of acquiring infection or failing therapy. C-UTIs occur in patients with risk factors such as neurogenic dysfunction, bladder outlet obstruction, obstructive uropathy, bladder catheterisation, urologic instrumentation or indwelling stent, urinary tract post-surgical modifications, chemotherapy- or radiation-induced damage, renal impairment, diabetes and immunodeficiency. Multidetector CT and MRI allow comprehensive investigation of C-UTIs and systemic infection from an unknown source. Based upon personal experience at a tertiary care hospital focused on the treatment of infectious illnesses, this pictorial essay reviews with examples the clinical features and cross-sectional imaging findings of C-UTIs affecting the lower urinary tract and male genital organs. The disorders presented include acute infectious cystitis, bladder mural abscesses, infections of the prostate and seminal vesicles, acute urethritis and related perineal abscesses, funiculitis, epididymo-orchitis and scrotal abscesses. Emphasis is placed on the possible differential diagnoses of lower C-UTIs. The aim is to provide radiologists greater familiarity with these potentially severe disorders which frequently require intensive in-hospital antibiotic therapy, percutaneous drainage or surgery. Teaching Points • Complicated urinary tract infections occur in patients with structural or functional risk factors. • CT and MRI comprehensively investigate complicated urinary infections and sepsis from unknown sources. • Infections of the urinary bladder, prostate, seminal vesicles, urethra and scrotum are presented. • Emphasis is placed on differential diagnoses of complicated lower urogenital infections. • Unsuspected urinary infections may be detected on CT performed for other clinical reasons.
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Affiliation(s)
- Massimo Tonolini
- Department of Radiology, "Luigi Sacco" University Hospital, Via G.B. Grassi 74, 20157, Milan, Italy.
| | - Sonia Ippolito
- Department of Radiology, "Luigi Sacco" University Hospital, Via G.B. Grassi 74, 20157, Milan, Italy
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10
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Lim C, Malone SC, Avruch L, Breau RH, Flood TA, Lim M, Morash C, Quon JS, Walsh C, Schieda N. Pictorial review. Magnetic resonance for radiotherapy management and treatment planning in prostatic carcinoma. Br J Radiol 2015; 88:20150507. [PMID: 26279086 DOI: 10.1259/bjr.20150507] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
MRI has an important role for radiotherapy (RT) treatment planning in prostate cancer (PCa) providing accurate visualization of the dominant intraprostatic lesion (DIL) and locoregional anatomy, assessment of local staging and depiction of implanted devices. MRI enables the radiation oncologist to optimize RT planning by better defining target tumour volumes (thereby increasing local tumour control), as well as decreasing morbidity (by minimizing the dose to adjacent normal structures). Using MRI, radiation oncologists can define the DIL for delivery of boost doses of RT using a variety of techniques including: stereotactic body radiotherapy, intensity-modulated radiotherapy, proton RT or brachytherapy to improve tumour control. Radiologists require a familiarity with the different RT methods used to treat PCa, as well as an understanding of the advantages and disadvantages of the various MR pulse sequences available for RT planning in order to provide an optimal multidisciplinary RT treatment approach to PCa. Understanding the expected post-RT appearance of the prostate and typical characteristics of local tumour recurrence is also important because MRI is rapidly becoming an integral component for diagnosis, image-guided histological sampling and treatment planning in the setting of biochemical failure after RT or surgery.
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Affiliation(s)
- Christopher Lim
- 1 Department of Medical Imaging The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - Shawn C Malone
- 2 Department of Radiation Oncology, The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - Leonard Avruch
- 1 Department of Medical Imaging The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - Rodney H Breau
- 3 Department of Surgery, Division of Urology, The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - Trevor A Flood
- 4 Department of Anatomical Pathology, The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - Megan Lim
- 5 Faculty of Medicine, The University of Saskatchewan, Saskatoon, SK, Canada
| | - Christopher Morash
- 3 Department of Surgery, Division of Urology, The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - Jeff S Quon
- 1 Department of Medical Imaging The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - Cynthia Walsh
- 1 Department of Medical Imaging The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
| | - Nicola Schieda
- 1 Department of Medical Imaging The Ottawa Hospital, The University of Ottawa, Ottawa, ON, Canada
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