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Shibuki S, Saida T, Mori K, Ishiguro T, Amano T, Yoshida M, Miyata M, Satoh T, Nakajima T. Diagnostic Imaging Performance of Dual-Energy Computed Tomography Compared with Conventional Computed Tomography and Magnetic Resonance Imaging for Uterine Cervical Cancer. Indian J Radiol Imaging 2024; 34:661-669. [PMID: 39318563 PMCID: PMC11419755 DOI: 10.1055/s-0044-1787780] [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: 09/26/2024] Open
Abstract
Objective This article evaluates the ability of low-energy (40 keV) virtual monoenergetic images (VMIs) in the local diagnosis of cervical cancer compared with that of conventional computed tomography (C-CT) and magnetic resonance imaging (MRI), using clinicopathologic staging as a reference. Methods This prospective study included 33 patients with pathologically confirmed cervical cancer who underwent dual-energy CT and MRI between 2021 and 2022. The contrast-to-noise ratio (CNR) of the tumor-to-myometrium was compared between C-CT and VMI. Additionally, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) for each local diagnostic parameter were compared between C-CT, VMI, and MRI. Interradiologist agreement was also assessed. Results The mean CNR was significantly higher on VMI ( p = 0.002). No significant difference in AUC was found between C-CT and VMI for all local diagnostic parameters, and the specificity of VMI was often significantly less than that of MRI. For parametrial invasion, mean sensitivity, specificity, and AUC for C-CT, VMI, and MRI were 0.81, 0.99, 0.93; 0.64, 0.35, 0.79; and 0.73, 0.67, 0.86, respectively, and MRI had significantly higher specificity and AUC than that of VMI ( p = 0.013 and 0.008, respectively). Interradiologist agreement was higher for VMI than C-CT and for MRI than VMI. Conclusion The CNR of VMI was significantly higher than C-CT and interradiologist agreement was better than with C-CT; however, the overall diagnostic performance of VMI did not significantly differ from C-CT and was inferior to MRI. VMI was characterized by low specificity, which should be understood and used for reading.
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Affiliation(s)
- Saki Shibuki
- Department of Radiology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Tsukasa Saida
- Department of Radiology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Kensaku Mori
- Department of Radiology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Toshitaka Ishiguro
- Department of Radiology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Taishi Amano
- Department of Radiology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Miki Yoshida
- Department of Radiology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Mariko Miyata
- Department of Radiology Technology, University of Tsukuba Hospital, Tsukuba, Ibaraki, Japan
| | - Toyomi Satoh
- Department of Obstetrics and Gynecology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Takahito Nakajima
- Department of Radiology, Institute of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
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Ninkova RV, Calabrese A, Curti F, Riccardi S, Gennarini M, Miceli V, Cupertino A, Di Donato V, Pernazza A, Rizzo SM, Panebianco V, Catalano C, Manganaro L. The performance of the node reporting and data system 1.0 (Node-RADS) and DWI-MRI in staging patients with cervical carcinoma according to the new FIGO classification (2018). LA RADIOLOGIA MEDICA 2024; 129:1062-1075. [PMID: 38730037 PMCID: PMC11252186 DOI: 10.1007/s11547-024-01824-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 04/29/2024] [Indexed: 05/12/2024]
Abstract
PURPOSE To evaluate the diagnostic accuracy of the Node-RADS score and the utility of apparent diffusion coefficient (ADC) values in predicting metastatic lymph nodes (LNs) involvement in cervical cancer (CC) patients using magnetic resonance imaging (MRI). The applicability of the Node RADS score across three readers with different years of experience in pelvic imaging was also assessed. MATERIAL AND METHODS Among 140 patients, 68 underwent staging MRI, neoadjuvant chemotherapy and radical surgery, forming the study cohort. Node-RADS scores of the main pelvic stations were retrospectively determined to assess LN metastatic likelihood and compared with the histological findings. Mean ADC, relative ADC (rADC), and correct ADC (cADC) values of LNs classified as Node-RADS ≥ 3 were measured and compared with histological reports, considered as gold standard. RESULTS Sensitivity, specificity, positive and negative predictive values (PPVs and NPVs), and accuracy were calculated for different Node-RADS thresholds. Node RADS ≥ 3 showed a sensitivity of 92.8% and specificity of 72.5%. Node RADS ≥ 4 yielded a sensitivity of 71.4% and specificity of 100%, while Node RADS 5 yielded 42.9% and 100%, respectively. The diagnostic performance of mean ADC, cADC and rADC values from 78 LNs with Node-RADS score ≥ 3 was assessed, with ADC demonstrating the highest area under the curve (AUC 0.820), compared to cADC and rADC values. CONCLUSION The Node-RADS score provides a standardized LNs assessment, enhancing diagnostic accuracy in CC patients. Its ease of use and high inter-observer concordance support its clinical utility. ADC measurement of LNs shows promise as an additional tool for optimizing patient diagnostic evaluation.
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Affiliation(s)
- Roberta Valerieva Ninkova
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Alessandro Calabrese
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Federica Curti
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Sandrine Riccardi
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Marco Gennarini
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Valentina Miceli
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Angelica Cupertino
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Violante Di Donato
- Department of Maternal and Child Health and Urological Sciences, Oncological and Pathological Sciences, Sapienza, University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Angelina Pernazza
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Stefania Maria Rizzo
- Faculty of Biomedical Sciences, University of Italian Switzerland (USI), Via Buffi 13, 6900, Lugano, Switzerland
- Service of Radiology, Imaging Institute of Southern Switzerland, Clinica Di Radiologia EOC, 6900, Lugano, Switzerland
| | - Valeria Panebianco
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Carlo Catalano
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy
| | - Lucia Manganaro
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Viale del Policlinico 155, 00161, Rome, Italy.
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Chen JLY, Huang CY, Shih IL, Liou YM, Tai YJ, Chiang YC, Kuo CY. Prognostic nutritional index and neutrophil-lymphocyte ratio predict toxicities and prognosis in patients with cervical cancer treated with curative radiochemotherapy. J Formos Med Assoc 2024; 123:671-678. [PMID: 37996325 DOI: 10.1016/j.jfma.2023.10.022] [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: 06/19/2023] [Revised: 10/03/2023] [Accepted: 10/24/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND This study aimed to investigate the influence of immunonutritional factors on treatment-related toxicities and survival outcomes in patients with cervical cancer undergoing definitive radiochemotherapy. METHODS Patients with cervical cancer who received curative radiochemotherapy between 2016 and 2021 were retrospectively investigated. Pretreatment prognostic nutritional index (PNI), neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR) were measured. Survival outcomes, acute and late toxicities were evaluated. RESULTS Among the 138 patients, those with larger tumor diameters had significantly lower pre-treatment PNI (p = 0.005). Pre-treatment immunonutritional factors were predictive of clinical survival, whereas post-treatment factors did not correlate with prognosis. Patients with low pre-treatment PNI (<49.5) or high NLR (>2.4) had shorter progression-free survival (PFS, HR: 1.86, p = 0.045 for PNI; HR: 3.15, p = 0.002 for NLR) and overall survival (OS, HR: 1.80, p = 0.048 for PNI; HR: 3.83, p = 0.015 for NLR). High pre-treatment NLR was associated with an increased risk of acute diarrhea (p = 0.049) and late severe toxicities (p = 0.046). Combined analysis revealed that pre-treatment good nutritional status and low systemic inflammation were linked to longer PFS (p = 0.007) and OS (p = 0.002), and poor nutritional status and substantial systemic inflammation were associated with higher rates of late severe toxicities (p = 0.036), with higher prognostic value in advanced stage patients. CONCLUSION Pretreatment immunonutritional measures serve as quantitative biomarkers for predicting survivals and treatment toxicities in patients with cervical cancer treated with definitive radiochemotherapy.
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Affiliation(s)
- Jenny Ling-Yu Chen
- Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Radiation Oncology, National Taiwan University Cancer Center, Taipei, Taiwan; Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chao-Yuan Huang
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
| | - I-Lun Shih
- Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Yih-Mei Liou
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Jou Tai
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ying-Cheng Chiang
- Department of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ching-Ying Kuo
- Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan; Department of Clinical Laboratory Sciences and Medical Biotechnology, National Taiwan University College of Medicine, Taipei, Taiwan.
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Sabah J, Menoux I, Eberst L, Lodi M, Gantzer J, Azais H, El Hajj H, Balaya V, Babin G, Espenel S, Dabi Y, Kissel M, Phuong Lien T, Angeles MA, Margueritte F, Deluche E, Marouk A, Le Borgne P, Apithy MS, Laas-Faron E, Akladios C, Lecointre L. Variability of treatment of locally advanced cervical cancer: How French multidisciplinary teams follow European guidelines? EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:108281. [PMID: 38642512 DOI: 10.1016/j.ejso.2024.108281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 04/22/2024]
Abstract
INTRODUCTION Cervical cancer is a global public health concern. Despite ESGO recommendations and FIGO classification changes, management of locally advanced cervical cancer (LACC) remains debated in France. Our study aimed to review LACC treatment practices and assess adherence to ESGO recommendations among different practitioners. METHODS From February 2021 to August 2022, we conducted a survey among gynecologic oncology surgeons, radiation oncologists, and medical oncologists practicing in France and managing LACC (FIGO stages IB3-IVA) according to the 2018 FIGO classification. We analyzed responses against the 2018 ESGO recommendations as a "gold standard." RESULTS Among 115 respondents (56% radiation oncologists, 30% surgeons, 13% medical oncologists), 48.6% of gynecologic surgeons didn't perform para-aortic lymphadenectomy (PAL) with significant radiologic pelvic involvement. PAL, when indicated by PET-CT, was more common in university hospitals (66.7% of surgeons). Surgeons in university hospitals also followed ESGO recommendations more closely. Overall, compliance with all ESGO recommendations was low: 5.7% of surgeons, 21.5% of radiation oncologists, and 60% of medical oncologists. Prophylactic para-aortic irradiation, per ESGO, was more frequent in comprehensive cancer centers (52% of radiation oncologists). CONCLUSION Adherence to ESGO recommendations for LACC treatment appears low in France, particularly in surgery, with limited PAL in cases of lymph node negativity on PET-CT. However, these recommendations are more often followed by surgeons in university hospitals and radiation oncologists in cancer centers. Adherence to these recommendations may impact patient survival and warrants evaluation of care quality, justifying the organization of LACC management in expert centers.
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Affiliation(s)
- Jonathan Sabah
- Department of Breast Surgery, European Institute of Cancerology - ICANS, Strasbourg, 2. CHU de Strasbourg, Grand Est, FR, France.
| | - Ines Menoux
- Department of Radiotherapy, European Institute of Cancerology ICANS, Strasbourg, France.
| | | | - Massimo Lodi
- Department of Breast Surgery, European Institute of Cancerology - Strasbourg, ICANS, France.
| | | | - Henri Azais
- Hopital Europeen Georges Pompidou, Gynecologic and Breast Oncologic Surgery, 20 rue Leblanc, Paris, Île-de-France, FR, 75015, France.
| | - Houssein El Hajj
- Curie Institute Hospital Group, Oncologic Surgery Paris, Île-de-France, FR, France.
| | - Vincent Balaya
- Hopital Europeen Georges Pompidou, Service de Chirurgie Gynecologique, Cancerologique et du Sein, 25 Rue de Coulmiers, Paris, FR, 75014, France.
| | - Guillaume Babin
- Institut Bergonié, Department of Surgery, Bordeaux, FR, 33076, France.
| | - Sophie Espenel
- Département de Radiothérapie, Gustave-Roussy, 114, rue Édouard-Vaillant, 94805, Villejuif, France.
| | - Yohann Dabi
- Assistance Publique - Hopitaux de Paris, Gynecologic Oncology, 4 rue de la Chine, Paris, FR, 75184, France.
| | - Manon Kissel
- Institut Curie Radiation Oncology Department, Paris, Curie Institute Hospital Group, Radiotherapy, Paris, Île-de-France, FR, France.
| | - Tran Phuong Lien
- University Hospital Reunion South Sites Saint-Pierre, Gynecology Obstetrics Avenue François Mitterrand, Saint-Pierre, RE, 97448, France.
| | - Martina Aida Angeles
- Institut Universitaire du Cancer Toulouse Oncopole, Department of Surgical Oncology 1, Avenue Irène Joliot-Curie, Toulouse, FR, 31100, France.
| | - Francois Margueritte
- Centre Hospitalier Universitaire de Limoges, Gynecology and Obstetrics, 8 Avenue Dominique Larrey, Limoges, FR, 87000, France.
| | - Elise Deluche
- Centre Hospitalier Universitaire de Limoges, Oncologie Médicale, Limoges, FR, France.
| | - Alexis Marouk
- Emergency Department, Hôpital Avicenne, Assistance Publique-Hôpitaux de Paris, Paris, France.
| | - Pierrick Le Borgne
- Structure des Urgences, Hôpitaux Universitaires de Strasbourg, 67000, Strasbourg, France.
| | | | - Enora Laas-Faron
- Curie Institute Hospital Group, Chirurgie Senologique, Gynécologique et Reconstructrice Paris, Île-de-France, FR, France.
| | - Chérif Akladios
- Hôpitaux Universitaires de Strasbourg, Department of Gynecology Strasbourg, FR, 67091, France.
| | - Lise Lecointre
- CHRU de Strasbourg | CHRU Strasbourg Chirurgie Gynécologique, Pôle Gynécologie-Obstétrique, Institute of Image Guided Surgery, IHU-Strasbourg, France; ICube, Laboratoire des Sciences de l'Ingérnieur de l'Informatique et de l'Imagerie, France.
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Minamitani M, Katano A, Mukai T, Ohira S, Nakagawa K. Comparative analysis of treatment decision-making in patients with localized prostate and cervical cancer: what influences receiving surgery or radiotherapy? Support Care Cancer 2024; 32:391. [PMID: 38806815 PMCID: PMC11133204 DOI: 10.1007/s00520-024-08589-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 05/17/2024] [Indexed: 05/30/2024]
Abstract
PURPOSE This study focused on identifying the factors influencing the decision-making process in patients with localized prostate and cervical cancer in Japan and specifically examining the choice between surgery and radiotherapy. METHODS Patients with specific cancer stages registered with a healthcare research company for whom radical surgery or radiotherapy was equally effective and recommended participated in this cross-sectional online survey. RESULTS The responses of 206 and 231 patients with prostate and cervical cancer, respectively, revealed that both groups relied heavily on the physicians' recommendations (prostate: odds ratio (OR) = 40.3, p < 0.001; cervical: OR = 5.59, p < 0.001) and their impression of radiotherapy (prostate: OR = 9.22, p < 0.001; cervical: OR = 2.31, p < 0.001). Factors such as hypertension (OR = 6.48, p < 0.05), diabetes mellitus (OR = 9.68, p < 0.05), employment status (OR = 0.08, p < 0.01), and impressions of surgery (OR = 0.14, p < 0.01) also played a significant role in patients with prostate cancer. In contrast, the specialty of the physician (OR = 4.55, p < 0.05) proposing the treatment influenced the decision-making process of patients with cervical cancer. Information sources varied between the two groups: patients with prostate cancer were more inclined towards printed materials, whereas patients with cervical cancer were more inclined towards interpersonal relationships. CONCLUSION Although several limitations, such as the sample and recall bias, were noted, this study emphasizes the role of psychosocial factors in the decision-making process and the requirement for tailored information sources.
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Affiliation(s)
- Masanari Minamitani
- Department of Comprehensive Radiation Oncology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan.
| | - Atsuto Katano
- Department of Radiology, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan
| | - Tomoya Mukai
- Department of Psychology, Fukuyama University, 985-1Higashimura-Machi, SanzoFukuyama-City, Hiroshima, 729-0292, Japan
| | - Shingo Ohira
- Department of Comprehensive Radiation Oncology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | - Keiichi Nakagawa
- Department of Comprehensive Radiation Oncology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
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Chen J, Kitzing YX, Lo G. Systematic Review-Role of MRI in Cervical Cancer Staging. Cancers (Basel) 2024; 16:1983. [PMID: 38893105 PMCID: PMC11171278 DOI: 10.3390/cancers16111983] [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: 05/01/2024] [Revised: 05/17/2024] [Accepted: 05/18/2024] [Indexed: 06/21/2024] Open
Abstract
A systematic review of the diagnostic accuracy of MRI in the staging of cervical cancer was conducted based on the literature from the last 5 years. A literature search was performed in the Cochrane Library, EMBASE, MEDLINE and PubMed databases using the MeSH terms "cervical cancer", "MRI" and "neoplasm staging". A total of 110 studies were identified, of which 8 fit the inclusion criteria. MRI showed adequate accuracy (74-95%) and high sensitivity (92-100%) in assessing stromal invasion. The data for MRI in terms of assessing vaginal and pelvic side wall involvement were wide ranging and inconclusive. In assessing lymph node metastasis, MRI showed an adequate accuracy (73-90%), specificity (75-91%) and NPV (71-96%) but poor sensitivity (52-75%) and PPV (52-75%). MRI showed high accuracy (95%), sensitivity (78-96%), specificity (87-94%), and NPV (98-100%) but poor PPV (27-42%) in detecting bladder involvement. There was a paucity of data on the use of MRI in assessing rectal involvement in cervical cancer. Overall, the literature was heterogenous in the definitions and language used, which reduced the comparability between articles. More research is required into the diagnostic accuracy of MRI in the staging of cervical cancer and there must be increased consistency in the definitions and language used in the literature.
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Affiliation(s)
- Jason Chen
- Department of Radiology, Sir Charles Gairdner Osborne Park Health Care Group, Perth 6009, Australia
| | - Yu Xuan Kitzing
- Department of Radiology, Royal Prince Alfred Hospital, Sydney 2050, Australia;
| | - Glen Lo
- Department of Radiology, Sir Charles Gairdner Osborne Park Health Care Group, Perth 6009, Australia
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Ebrahimi S, Lundström E, Batasin SJ, Hedlund E, Stålberg K, Ehman EC, Sheth VR, Iranpour N, Loubrie S, Schlein A, Rakow-Penner R. Application of PET/MRI in Gynecologic Malignancies. Cancers (Basel) 2024; 16:1478. [PMID: 38672560 PMCID: PMC11048306 DOI: 10.3390/cancers16081478] [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: 02/24/2024] [Revised: 03/23/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
The diagnosis, treatment, and management of gynecologic malignancies benefit from both positron emission tomography/computed tomography (PET/CT) and MRI. PET/CT provides important information on the local extent of disease as well as diffuse metastatic involvement. MRI offers soft tissue delineation and loco-regional disease involvement. The combination of these two technologies is key in diagnosis, treatment planning, and evaluating treatment response in gynecological malignancies. This review aims to assess the performance of PET/MRI in gynecologic cancer patients and outlines the technical challenges and clinical advantages of PET/MR systems when specifically applied to gynecologic malignancies.
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Affiliation(s)
- Sheida Ebrahimi
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Elin Lundström
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
- Department of Surgical Sciences, Radiology, Uppsala University, 751 85 Uppsala, Sweden
- Center for Medical Imaging, Uppsala University Hospital, 751 85 Uppsala, Sweden
| | - Summer J. Batasin
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Elisabeth Hedlund
- Department of Surgical Sciences, Radiology, Uppsala University, 751 85 Uppsala, Sweden
| | - Karin Stålberg
- Department of Women’s and Children’s Health, Uppsala University, 751 85 Uppsala, Sweden
| | - Eric C. Ehman
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Vipul R. Sheth
- Department of Radiology, Stanford University, Palo Alto, CA 94305, USA; (V.R.S.)
| | - Negaur Iranpour
- Department of Radiology, Stanford University, Palo Alto, CA 94305, USA; (V.R.S.)
| | - Stephane Loubrie
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Alexandra Schlein
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
| | - Rebecca Rakow-Penner
- Department of Radiology, University of California San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
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Shan Y, Ding Z, Chen A, Cui Z. Incidence, prognostic factors, and a nomogram of cervical cancer with lung metastasis: A SEER-based study. J Gynecol Obstet Hum Reprod 2024; 53:102757. [PMID: 38403266 DOI: 10.1016/j.jogoh.2024.102757] [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: 09/05/2023] [Revised: 02/09/2024] [Accepted: 02/23/2024] [Indexed: 02/27/2024]
Abstract
AIMS The purpose of this study was to investigate the incidence, survival and prognostic factors of cervical cancer with lung metastasis at the initial diagnosis and to develop a visual nomogram to predict the prognosis of these patients. METHODS We used the Surveillance, Epidemiology and End Results (SEER) database to screen patients diagnosed with cervical cancer from 2010 to 2015. After strict inclusion and exclusion, the chi-square test was used to evaluate the differences in the clinical characteristics of patients with cervical cancer, and then we used Kaplan-Meier method to perform survival analysis among cervical cancer patients with lung metastasis. Next, univariate and multivariate Cox proportional hazard regression models were used to estimate prognostic factors of these patients and we developed a visualized and novel nomogram to judge the prognosis. RESULTS 476 patients with lung metastasis and 12,016 patients without lung metastasis were included in this study. The incidence of lung metastasis was higher in unmarried white cervical cancer patients between the ages of 40 and 60, and grade III cervical squamous cell carcinoma patients were more likely to have lung metastasis. In addition, grade, surgery, radiotherapy, sequence of surgery and radiotherapy and chemotherapy were significantly related to the outcomes of cervical cancer patients with lung metastasis. Furthermore, our nomogram could predict the 3-year and 5-year overall survival (OS) of these patients. Finally, the AUC of 3-year OS and 5-year OS were confirmed to be 0.969 and 0.939 respectively by ROC curves, with good consistency. CONCLUSIONS Age at diagnosis, race, marital status, and characteristics of the tumor can influence the incidence of lung metastasis in cervical cancer patients. Besides, grade, surgery, radiotherapy, sequence of surgery and radiotherapy and chemotherapy may deeply affect the prognosis of cervical cancer patients with lung metastasis. The nomogram built in this study may help clinicians to formulate individualized treatment strategies and encourage the development of more and more comprehensive and accurate predictive models.
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Affiliation(s)
- Yuping Shan
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, NO.16 Jiangsu Road, Qingdao 266000, China
| | - Zhaoxia Ding
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, NO.16 Jiangsu Road, Qingdao 266000, China
| | - Aiping Chen
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, NO.16 Jiangsu Road, Qingdao 266000, China.
| | - Zicheng Cui
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, NO.16 Jiangsu Road, Qingdao 266000, China
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Hayashi T, Kojima S, Ito T, Hayashi N, Kondo H, Yamamoto A, Oba H. Evaluation of deep learning reconstruction on diffusion-weighted imaging quality and apparent diffusion coefficient using an ice-water phantom. Radiol Phys Technol 2024; 17:186-194. [PMID: 38153622 DOI: 10.1007/s12194-023-00765-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/29/2023]
Abstract
This study assessed the influence of deep learning reconstruction (DLR) on the quality of diffusion-weighted images (DWI) and apparent diffusion coefficient (ADC) using an ice-water phantom. An ice-water phantom with known diffusion properties (true ADC = 1.1 × 10-3 mm2/s at 0 °C) was imaged at various b-values (0, 1000, 2000, and 4000 s/mm2) using a 3 T magnetic resonance imaging scanner with slice thicknesses of 1.5 and 3.0 mm. All DWIs were reconstructed with or without DLR. ADC maps were generated using combinations of b-values 0 and 1000, 0 and 2000, and 0 and 4000 s/mm2. Based on the quantitative imaging biomarker alliance profile, the signal-to-noise ratio (SNRs) in DWIs was calculated, and the accuracy, precision, and within-subject parameter variance (wCV) of the ADCs were evaluated. DLR improved the SNR in DWIs with b-values ranging from 0 to 2000s/mm2; however, its effectiveness was diminished at 4000 s/mm2. There was no noticeable difference in the ADCs of images generated with or without implementing DLR. For a slice thickness of 1.5 mm and combined b-values of 0 and 4000 s/mm2, the ADC values were 0.97 × 10-3and 0.98 × 10-3mm2/s with and without DLR, respectively, both being lower than the true ADC value. Furthermore, DLR enhanced the precision and wCV of the ADC measurements. DLR can enhance the SNR, repeatability, and precision of ADC measurements; however, it does not improve their accuracies.
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Affiliation(s)
- Tatsuya Hayashi
- Graduate School of Medical Technology, Teikyo University, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan.
| | - Shinya Kojima
- Graduate School of Medical Technology, Teikyo University, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan
| | - Toshimune Ito
- Graduate School of Medical Technology, Teikyo University, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan
| | - Norio Hayashi
- Department of Radiological Technology, Gunma Prefectural College of Health Sciences, 323-1 Kamiokimachi, Maebashi, Gunma, 371-0052, Japan
| | - Hiroshi Kondo
- Department of Radiology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan
| | - Asako Yamamoto
- Department of Radiology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan
| | - Hiroshi Oba
- Department of Radiology, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan
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Lee SJ, Kim M, Kwak YK, Kang HJ. The impact of boost radiation therapy after hysterectomy on cervical cancer patients with close or positive resection margins. Clin Transl Oncol 2024; 26:689-697. [PMID: 37537511 DOI: 10.1007/s12094-023-03283-6] [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: 02/25/2023] [Accepted: 07/11/2023] [Indexed: 08/05/2023]
Abstract
PURPOSE We investigated the effect of boost radiation therapy (RT) in addition to whole pelvis RT (WPRT) on treatment outcome and safety of cervical cancer patients following hysterectomy with close/positive resection margins (RM). METHODS We retrospectively analyzed 51 patients with cervical cancer who received WPRT with or without boost-RT as adjuvant treatment between July 2006 and June 2022. Twenty patients (39.2%) were treated with WPRT-alone, and 31 (60.8%) received boost-RT after WPRT using brachytherapy or intensity-modulated RT. RESULTS The median follow-up period was 41 months. According to RT modality, the 4-year local control (LC) and locoregional control (LRC) rates of patients treated with WPRT-alone were 61% and 61%, respectively, whereas those in LC and LRC rates in patients who underwent WPRT with boost-RT were 93.2% and 75.3%, with p-values equal to 0.005 and 0.090, respectively. Seven patients (35.0%) had local recurrence in the WPRT-treated group compared to only two out of the 31 patients (6.5%) in the WPRT with boost-RT-treated counterparts (p = 0.025). Boost-RT was a significantly good prognostic factor for LC (p = 0.013) and LRC (p = 0.013). Boost-RT did not result in statistically-significant improvements in progression-free survival or overall survival. The acute and late toxicity rates were not significantly different between groups. CONCLUSION Boost RT following WPRT is a safe and effective treatment strategy to improve LC without increasing toxicity in patients with cervical cancer with close/positive RM after hysterectomy.
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Affiliation(s)
- So Jung Lee
- Department of Radiation Oncology, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, 56, Dongsuro, Bupyung-gu, Incheon, 21431, Republic of Korea
| | - Myungsoo Kim
- Department of Radiation Oncology, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, 56, Dongsuro, Bupyung-gu, Incheon, 21431, Republic of Korea
| | - Yoo-Kang Kwak
- Department of Radiation Oncology, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, 56, Dongsuro, Bupyung-gu, Incheon, 21431, Republic of Korea
| | - Hye Jin Kang
- Department of Radiation Oncology, College of Medicine, Incheon St. Mary's Hospital, The Catholic University of Korea, 56, Dongsuro, Bupyung-gu, Incheon, 21431, Republic of Korea.
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11
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Guo S, Chen P, Yang Y, Wei W, Pan Y, Zeng F, Fan L, Wang W. Tumor-to-stroma cd8 + t cells ratio combined with cancer-associated fibroblasts: an innovative approach to predicting lymph node metastases of cervical cancer. J Cancer Res Clin Oncol 2024; 150:93. [PMID: 38369672 PMCID: PMC10874907 DOI: 10.1007/s00432-023-05578-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 12/02/2023] [Indexed: 02/20/2024]
Abstract
PURPOSE Precise identification of lymph node metastases is vital for the management of cervical cancer. However, the existing diagnostic methods for lymph node metastases have certain drawbacks. In this study, we aim to explore the expression of cancer-associated fibroblasts (CAFs) and tumor-to-stroma CD8+ T cells ratio (CD8+ T cells T:S ratio) and its association with lymph node metastases of cervical cancer. METHODS Hundred and ten cervical cancer tissues and 39 biopsy tissues from patients were investigated immunocytochemically for the expression of CAFs and CD8+ T cells. The statistical correlation analysis was carried out using the SPSS system. RESULTS A strong and statistically significant negative correlation (r= - 0.690; P < 0.001) was observed between CAF density and CD8+ T cells T:S ratio. Not only were CAFs density and CD8+ T cells T:S ratio correlated with lymph node metastases respectively (P < 0.001), but the combination of them also significantly correlated with lymph node metastases (P < 0.001). Then, we constructed the combined diagnosis model (Logit (P) = - 4.446 + 0.300 × CAFs + 0.752 × CD8+ T cells T:S Ratio) of cervical cancer lymph node metastases. ROC curves analysis showed that the ROC curves areas for CAFs, CD8+ T cells T:S ratio, and a combination of both are 0.879, 0.747, and 0.951. Then, the prediction model was verified by biopsy specimens and consistent results were obtained. CONCLUSIONS The combination of CAF density and CD8+ T cells T:S ratio has a significant predictive value for lymph node metastases in patients with cervical cancer.
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Affiliation(s)
- Shuangshuang Guo
- Department of Obstetrics and Gynecology, Guangzhou Medical University, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Peiyu Chen
- Department of Obstetrics and Gynecology, Guangzhou Medical University, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Yang Yang
- The Six Affiliated Hospital, Guangzhou Medical University, Qingyuan, 511518, Guangdong, China
| | - Wenfei Wei
- Department of Gynecology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, Guangdong, China
| | - YuHua Pan
- Department of Obstetrics and Gynecology, Guangzhou Medical University, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Fanke Zeng
- Department of Obstetrics and Gynecology, Guangzhou Medical University, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Liangsheng Fan
- Department of Obstetrics and Gynecology, Guangzhou Medical University, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.
| | - Wei Wang
- Department of Obstetrics and Gynecology, Guangzhou Medical University, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.
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12
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Olthof EP, Bergink-Voorthuis BJ, Wenzel HHB, Mongula J, van der Velden J, Spijkerboer AM, Adam JA, Bekkers RLM, Beltman JJ, Slangen BFM, Nijman HW, Smolders RGV, van Trommel NE, Zusterzeel PLM, Zweemer RP, Stalpers LJA, Mom CH, van der Aa MA. Diagnostic accuracy of MRI, CT, and [ 18F]FDG-PET-CT in detecting lymph node metastases in clinically early-stage cervical cancer - a nationwide Dutch cohort study. Insights Imaging 2024; 15:36. [PMID: 38332397 PMCID: PMC10853153 DOI: 10.1186/s13244-023-01589-1] [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: 09/22/2023] [Accepted: 11/29/2023] [Indexed: 02/10/2024] Open
Abstract
OBJECTIVES Imaging is increasingly used to assess lymph node involvement in clinically early-stage cervical cancer. This retrospective study aimed to evaluate the diagnostic accuracy of MRI, CT, and [18F]FDG-PET-CT. METHODS Women with International Federation of Gynaecology and Obstetrics (FIGO) 2009 stage IA2-IIA cervical cancer and pretreatment imaging between 2009 and 2017 were selected from the Netherlands Cancer Registry. Patient-based and region-based (i.e. pelvic and common iliac) nodal status was extracted from radiology reports. Pathology results were considered the reference standard for calculating accuracy indices. Multiple imputation was used for missing pathology to limit verification bias risk. RESULTS Nodal assessment was performed in 1676 patients with MRI, 926 with CT, and 379 with [18F]FDG-PET-CT, with suspicious nodes detected in 17%, 16%, and 48%, respectively. [18F]FDG-PET-CT was used to confirm MRI/CT results in 95% of patients. Pathology results were imputed for 30% of patients. [18F]FDG-PET-CT outperformed MRI and CT in detecting patient-based nodal metastases with sensitivities of 80%, 48%, and 40%, and AUCs of 0.814, 0.706, and 0.667, respectively, but not in specificity: 79%, 92%, and 92%. Region-based analyses showed similar indices in the pelvic region, but worse performance in the common iliac region with AUCs of 0.575, 0.554, and 0.517, respectively. CONCLUSIONS [18F]FDG-PET-CT outperformed MRI and CT in detecting nodal metastases, which may be related to its use as a verification modality. However, MRI and CT had the highest specificity. As MRI is generally performed routinely to assess local and regional spread of cervical cancer, [18F]FDG-PET-CT can be used to confirm suspicious nodes. CRITICAL RELEVANCE STATEMENT Accurate assessment of the nodal status in clinically early-stage cervical cancer is essential for tumour staging, treatment decision making and prognosis. KEY POINTS • The accuracy of MRI, CT or [18F]FDG-PET-CT for nodal staging in early cervical cancer is a subject of discussion. • Overall, [18F]FDG-PET-CT outperformed MRI, followed by CT, when used as a verification modality. • Staging with MRI and the addition of [18F]FDG-PET-CT to verify high-risk cases seems to be a good approach.
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Affiliation(s)
- Ester P Olthof
- Department of Research & Development, Netherlands Comprehensive Cancer Organisation (IKNL), Godebaldkwartier 419, DT, Utrecht, 3511, The Netherlands.
- Department of Gynecological Oncology, Amsterdam University Medical Center, Center for Gynecologic Oncology Amsterdam (CGOA), Amsterdam, The Netherlands.
| | - Brenda J Bergink-Voorthuis
- Department of Health Technology and Services Research, Technical Medical Center, University of Twente, Enschede, The Netherlands
| | - Hans H B Wenzel
- Department of Research & Development, Netherlands Comprehensive Cancer Organisation (IKNL), Godebaldkwartier 419, DT, Utrecht, 3511, The Netherlands
| | - Jordy Mongula
- Department of Obstetrics and Gynaecology, Zuyderland Medical Center, Heerlen, The Netherlands
| | - Jacobus van der Velden
- Department of Gynecological Oncology, Amsterdam University Medical Center, Center for Gynecologic Oncology Amsterdam (CGOA), Amsterdam, The Netherlands
| | - Anje M Spijkerboer
- Department of Radiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Judit A Adam
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Ruud L M Bekkers
- Department of Obstetrics and Gynaecology, Catharina Hospital, Eindhoven, The Netherlands
- Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Obstetrics and Gynecology, Medical Center and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Jogchum J Beltman
- Department of Gynaecology, Leiden University Medical Center, Leiden, The Netherlands
| | - Brigitte F M Slangen
- Department of Obstetrics and Gynecology, Medical Center and GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Hans W Nijman
- Department of Obstetrics and Gynaecology, University Medical Center Groningen, Groningen, The Netherlands
| | - Ramon G V Smolders
- Department of Gynaecological Oncology, Erasmus MC Cancer Institute University Medical Center, Rotterdam, The Netherlands
| | - Nienke E van Trommel
- Center for Gynaecologic Oncology Amsterdam (CGOA), The Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, The Netherlands
| | - Petra L M Zusterzeel
- Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ronald P Zweemer
- Department of Gynaecological Oncology, University Medical Centre Utrecht, Utrecht Cancer Centre, Utrecht, The Netherlands
| | - Lukas J A Stalpers
- Department of Radiation Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Constantijne H Mom
- Department of Gynecological Oncology, Amsterdam University Medical Center, Center for Gynecologic Oncology Amsterdam (CGOA), Amsterdam, The Netherlands
| | - Maaike A van der Aa
- Department of Research & Development, Netherlands Comprehensive Cancer Organisation (IKNL), Godebaldkwartier 419, DT, Utrecht, 3511, The Netherlands
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Wu F, Zhang R, Li F, Qin X, Xing H, Lv H, Li L, Ai T. Radiomics analysis based on multiparametric magnetic resonance imaging for differentiating early stage of cervical cancer. Front Med (Lausanne) 2024; 11:1336640. [PMID: 38371508 PMCID: PMC10869616 DOI: 10.3389/fmed.2024.1336640] [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: 11/11/2023] [Accepted: 01/15/2024] [Indexed: 02/20/2024] Open
Abstract
Objective To investigate the performance of multiparametric magnetic resonance imaging (MRI)-based radiomics models in differentiating early stage of cervical cancer (Stage I-IIa vs. IIb-IV). Methods One hundred patients with cervical cancer who underwent preoperative MRI between June 2020 and March 2022 were retrospectively enrolled. Training (n = 70) and testing cohorts (n = 30) were assigned by stratified random sampling. The clinical and pathological features, including age, histological subtypes, tumor grades, and node status, were compared between the two cohorts by t-test or chi-square test. Radiomics features were extracted from each volume of interest (VOI) on T2-weighted images (T2WI) and apparent diffusion coefficient (ADC) maps. The data balance of the training cohort was resampled by synthesizing minority oversampling techniques. Subsequently, the adiomics signatures were constructed by the least absolute shrinkage and selection operator algorithm and minimum-redundancy maximum-relevance with 10-fold cross-validation. Logistic regression was applied to predict the cervical cancer stages (low [I-IIa]) and (high [IIb-IV] FIGO stages). The receiver operating characteristic curve (area under the curve [AUC]) and decision curve analysis were used to assess the performance of the radiomics model. Results The characteristics of age, histological subtypes, tumor grades, and node status were not significantly different between the low [I-IIa] and high [IIb-IV] FIGO stages (p > 0.05 for both the training and test cohorts). Three models based on T2WI, ADC maps, and the combined were developed based on six radiomics features from T2WI and three radiomics features from ADC maps, with AUCs of 0.855 (95% confidence interval [CI], 0.777-0.934) and 0.823 (95% CI, 0.727-0.919), 0.861 (95% CI, 0.785-0.936) and 0.81 (95% CI, 0.701-0.918), 0.934 (95% CI, 0.884-0.984) and 0.902 (95% CI, 0.832-0.972) in the training and test cohorts. Conclusion The radiomics models combined T2W and ADC maps had good predictive performance in differentiating the early stage from locally advanced cervical cancer.
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Affiliation(s)
- Feng Wu
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Rui Zhang
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Feng Li
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Xiaomin Qin
- Department of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science Xiangyang, China
| | - Hui Xing
- Department of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science Xiangyang, China
| | - Huabing Lv
- Department of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science Xiangyang, China
| | - Lin Li
- Department of Obstetrics and Gynaecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science Xiangyang, China
| | - Tao Ai
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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14
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Yang S, Zhang W, Liu C, Li C, Hua K. Predictive value and potential association of PET/CT radiomics on lymph node metastasis of cervical cancer. Ann Med Surg (Lond) 2024; 86:805-810. [PMID: 38333288 PMCID: PMC10849352 DOI: 10.1097/ms9.0000000000001412] [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: 09/18/2023] [Accepted: 10/09/2023] [Indexed: 02/10/2024] Open
Abstract
Objective Due to the information-rich nature of positron emission tomography/computed tomography (PET/CT) images, the authors hope to explore radiomics features that could distinguish metastatic lymph nodes (LNs) from hypermetabolic benign LNs, in addition to conventional indicators. Methods PET/CT images of 106 patients with early-stage cervical cancer from 2019 to 2021 were retrospectively analyzed. The tumor lesions and LN regions of PET/CT images were outlined with SeeIt, and then radiomics features were extracted. The least absolute shrinkage and selection operator (LASSO) was used to select features. The final selected radiomics features of LNs were used as predictors to construct a machine learning model to predict LN metastasis. Results The authors determined two morphological coefficient characteristics of cervical lesions (shape - major axis length and shape - mesh volume), one first order characteristics of LNs (first order - 10 percentile) and two gray-level co-occurrence matrix (GLCM) characteristics of LNs (GLCM - id and GLCM - inverse variance) were closely related to LN metastasis. Finally, a neural network was constructed based on the radiomic features of the LNs. The area under the curve of receiver operating characteristic (AUC-ROC) of the model was 0.983 in the training set and 0.860 in the test set. Conclusion The authors constructed and demonstrated a neural network based on radiomics features of PET/CT to evaluate the risk of single LN metastasis in early-stage cervical cancer.
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Affiliation(s)
- Shimin Yang
- Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University
| | - Wenrui Zhang
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, People’s Republic of China
| | - Chunli Liu
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, People’s Republic of China
| | - Chunbo Li
- Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University
| | - Keqin Hua
- Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University
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Zhang Z, Liu J, Zhang Y, Qu F, Grimm R, Cheng J, Wang W, Zhu J, Li S. T1 mapping as a quantitative imaging biomarker for diagnosing cervical cancer: a comparison with diffusion kurtosis imaging. BMC Med Imaging 2024; 24:16. [PMID: 38200447 PMCID: PMC10782683 DOI: 10.1186/s12880-024-01191-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: 02/01/2023] [Accepted: 01/01/2024] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND T1 mapping can potentially quantitatively assess the intrinsic properties of tumors. This study was conducted to explore the ability of T1 mapping in distinguishing cervical cancer type, grade, and stage and compare the diagnostic performance of T1 mapping with diffusion kurtosis imaging (DKI). METHODS One hundred fifty-seven patients with pathologically confirmed cervical cancer were enrolled in this prospectively study. T1 mapping and DKI were performed. The native T1, difference between native and postcontrast T1 (T1diff), mean kurtosis (MK), mean diffusivity (MD), and apparent diffusion coefficient (ADC) were calculated. Cervical squamous cell carcinoma (CSCC) and adenocarcinoma (CAC), low- and high-grade carcinomas, and early- and advanced-stage groups were compared using area under the receiver operating characteristic (AUROC) curves. RESULTS The native T1 and MK were higher, and the MD and ADC were lower for CSCC than for CAC (all p < 0.05). Compared with low-grade CSCC, high-grade CSCC had decreased T1diff, MD, ADC, and increased MK (p < 0.05). Compared with low-grade CAC, high-grade CAC had decreased T1diff and increased MK (p < 0.05). Native T1 was significantly higher in the advanced-stage group than in the early-stage group (p < 0.05). The AUROC curves of native T1, MK, ADC and MD were 0,772, 0.731, 0.715, and 0.627, respectively, for distinguishing CSCC from CAC. The AUROC values were 0.762 between high- and low-grade CSCC and 0.835 between high- and low-grade CAC, with T1diff and MK showing the best discriminative values, respectively. For distinguishing between advanced-stage and early-stage cervical cancer, only the AUROC of native T1 was statistically significant (AUROC = 0.651, p = 0.002). CONCLUSIONS Compared with DKI-derived parameters, native T1 exhibits better efficacy for identifying cervical cancer subtype and stage, and T1diff exhibits comparable discriminative value for cervical cancer grade.
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Affiliation(s)
- Zanxia Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe Dong Road, 450052, Zhengzhou, Henan, China
| | - Jie Liu
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe Dong Road, 450052, Zhengzhou, Henan, China
| | - Yong Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe Dong Road, 450052, Zhengzhou, Henan, China
| | - Feifei Qu
- MR Collaboration, Siemens Healthcare Ltd, Beijing, China
| | - Robert Grimm
- MR Application, Siemens Healthcare GmbH, Predevelopment, Erlangen, Germany
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe Dong Road, 450052, Zhengzhou, Henan, China
| | - Weijian Wang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe Dong Road, 450052, Zhengzhou, Henan, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd, Beijing, China
| | - Shujian Li
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe Dong Road, 450052, Zhengzhou, Henan, China.
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Guo Q, Qu L, Zhu J, Li H, Wu Y, Wang S, Yu M, Wu J, Wen H, Ju X, Wang X, Bi R, Shi Y, Wu X. Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images. Mod Pathol 2023; 36:100316. [PMID: 37634868 DOI: 10.1016/j.modpat.2023.100316] [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: 10/25/2022] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 08/29/2023]
Abstract
We developed a deep learning framework to accurately predict the lymph node status of patients with cervical cancer based on hematoxylin and eosin-stained pathological sections of the primary tumor. In total, 1524 hematoxylin and eosin-stained whole slide images (WSIs) of primary cervical tumors from 564 patients were used in this retrospective, proof-of-concept study. Primary tumor sections (1161 WSIs) were obtained from 405 patients who underwent radical cervical cancer surgery at the Fudan University Shanghai Cancer Center (FUSCC) between 2008 and 2014; 165 and 240 patients were negative and positive for lymph node metastasis, respectively (including 166 with positive pelvic lymph nodes alone and 74 with positive pelvic and para-aortic lymph nodes). We constructed and trained a multi-instance deep convolutional neural network based on a multiscale attention mechanism, in which an internal independent test set (100 patients, 228 WSIs) from the FUSCC cohort and an external independent test set (159 patients, 363 WSIs) from the Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma cohort of the Cancer Genome Atlas program database were used to evaluate the predictive performance of the network. In predicting the occurrence of lymph node metastasis, our network achieved areas under the receiver operating characteristic curve of 0.87 in the cross-validation set, 0.84 in the internal independent test set of the FUSCC cohort, and 0.75 in the external test set of the Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma cohort of the Cancer Genome Atlas program. For patients with positive pelvic lymph node metastases, we retrained the network to predict whether they also had para-aortic lymph node metastases. Our network achieved areas under the receiver operating characteristic curve of 0.91 in the cross-validation set and 0.88 in the test set of the FUSCC cohort. Deep learning analysis based on pathological images of primary foci is very likely to provide new ideas for preoperatively assessing cervical cancer lymph node status; its true value must be validated with cervical biopsy specimens and large multicenter datasets.
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Affiliation(s)
- Qinhao Guo
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Linhao Qu
- Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Fudan University, Shanghai, China
| | - Jun Zhu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Haiming Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Radiology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Yong Wu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Simin Wang
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Min Yu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiangchun Wu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hao Wen
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xingzhu Ju
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xin Wang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Rui Bi
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Department of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China.
| | - Yonghong Shi
- Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Fudan University, Shanghai, China.
| | - Xiaohua Wu
- Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Shan Y, Ding Z, Cui Z, Chen A. Incidence, prognostic factors and a nomogram of cervical cancer with distant organ metastasis: a SEER-based study. J OBSTET GYNAECOL 2023; 43:2181690. [PMID: 36927263 DOI: 10.1080/01443615.2023.2181690] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
This study was to investigate the incidence, survival and prognostic factors of cervical cancer with distant organ metastasis, and to develop a nomogram to predict the prognosis of cervical cancer. We used the Surveillance, Epidemiology and End Results (SEER) database to screen patients diagnosed with cervical cancer from 2010 to 2014. The chi-squared test was used to analyse the differences in clinical characteristics, and we used Kaplan-Meier methods to perform survival analysis. Univariate and multivariate Cox proportional hazard regression models were used to estimate prognostic factors, and we developed a visual nomogram to judge the prognosis. We found that lung metastasis was the most common in cervical cancer patients with distant organ metastasis. Age, race, characteristics of the tumour, and therapy should be considered when analysing the prognosis of cervical cancer patients. The findings of this study may help clinicians to formulate individualised treatment strategies.Impact StatementWhat is already known on this subject? Distant organ metastasis of cervical cancer mainly involves lung, bone, liver and brain. Once it occurs, the survival and prognosis will be threatened seriously.What the results of this study add? 4176 patients were included, and lung metastasis was the most common in cervical cancer with distant organ metastasis (3.5%). Additionally, age, race, tumour grade, histological type, T-stage, N-stage, lung, liver and bone metastasis and the treatment mode are significantly related to the outcomes of cervical cancer patients. Furthermore, we developed a nomogram that could predict the probability of three-year and five-year OS.What the implications are of these findings for clinical practice and/or further research? The findings of this study may drive more and more studies focussing on the comprehensive prognostic assessment, diagnosis, and treatment of distant metastasis of cervical cancer. Besides, clinicians can utilise these findings to formulate individualised treatment strategies.
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Affiliation(s)
- Yuping Shan
- Department of Obstetrics and Gynecology, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zhaoxia Ding
- Department of Obstetrics and Gynecology, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zicheng Cui
- Department of Obstetrics and Gynecology, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - Aiping Chen
- Department of Obstetrics and Gynecology, the Affiliated Hospital of Qingdao University, Qingdao, China
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18
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Furtado FS, Catalano OA. Editorial for "A Multicenter Study on Preoperative Assessment of Lymphovascular Space Invasion in Early-Stage Cervical Cancer Based on Multimodal MR Radiomics". J Magn Reson Imaging 2023; 58:1649-1650. [PMID: 36939829 DOI: 10.1002/jmri.28678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 02/23/2023] [Indexed: 03/21/2023] Open
Affiliation(s)
- Felipe S Furtado
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA
- Medex, Rio de Janeiro, Brazil
| | - Onofrio A Catalano
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Athinoula A Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA
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Li J, Zhou H, Lu X, Wang Y, Pang H, Cesar D, Liu A, Zhou P. Preoperative prediction of cervical cancer survival using a high-resolution MRI-based radiomics nomogram. BMC Med Imaging 2023; 23:153. [PMID: 37821840 PMCID: PMC10568765 DOI: 10.1186/s12880-023-01111-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 09/25/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Cervical cancer patients receiving radiotherapy and chemotherapy require accurate survival prediction methods. The objective of this study was to develop a prognostic analysis model based on a radiomics score to predict overall survival (OS) in cervical cancer patients. METHODS Predictive models were developed using data from 62 cervical cancer patients who underwent radical hysterectomy between June 2020 and June 2021. Radiological features were extracted from T2-weighted (T2W), T1-weighted (T1W), and diffusion-weighted (DW) magnetic resonance images prior to treatment. We obtained the radiomics score (rad-score) using least absolute shrinkage and selection operator (LASSO) regression and Cox's proportional hazard model. We divided the patients into low- and high-risk groups according to the critical rad-score value, and generated a nomogram incorporating radiological features. We evaluated the model's prediction performance using area under the receiver operating characteristic (ROC) curve (AUC) and classified the participants into high- and low-risk groups based on radiological characteristics. RESULTS The 62 patients were divided into high-risk (n = 43) and low-risk (n = 19) groups based on the rad-score. Four feature parameters were selected via dimensionality reduction, and the scores were calculated after modeling. The AUC values of ROC curves for prediction of 3- and 5-year OS using the model were 0.84 and 0.93, respectively. CONCLUSION Our nomogram incorporating a combination of radiological features demonstrated good performance in predicting cervical cancer OS. This study highlights the potential of radiomics analysis in improving survival prediction for cervical cancer patients. However, further studies on a larger scale and external validation cohorts are necessary to validate its potential clinical utility.
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Affiliation(s)
- Jia Li
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Hao Zhou
- Department of Cardiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Xiaofei Lu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yiren Wang
- School of Nursing, Southwest Medical University, Luzhou, China
| | - Haowen Pang
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Daniel Cesar
- Department of Gynecology Oncology, National Cancer Institute, Rio de Janeiro, Brazil
| | - Aiai Liu
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
| | - Ping Zhou
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
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Zhang J, Xiang JD, Jia C, Du LF, Li F. Contrast-Enhanced Ultrasonography for Transabdominal and Transrectal Ultrasound in Staging Cervical Cancer: A Reliability Study. ULTRASOUND IN MEDICINE & BIOLOGY 2023; 49:2283-2290. [PMID: 37495499 DOI: 10.1016/j.ultrasmedbio.2023.06.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 06/06/2023] [Accepted: 06/26/2023] [Indexed: 07/28/2023]
Abstract
OBJECTIVE This retrospective study aimed to evaluate the consistency of transrectal contrast-enhanced ultrasonography (TR-CEUS) with post-operative pathology and the value of contrast-enhanced ultrasonography (CEUS) in staging surgically treated cervical cancer when combined with conventional ultrasonography (US). METHODS From October 2020 to March 2023, hospitalized patients with stage IB and II cervical cancer confirmed by total hysterectomy were consecutively enrolled. The standard images of US and CEUS by transabdominal (TA-US/CEUS) and transrectal (TR-US/CEUS) approaches and magnetic resonance imaging (MRI) were acquired, on which the size and stage of the tumors were evaluated, and the consistency of results with the pathological specimen was analyzed. RESULTS Thirty-nine patients with cervical cancer were finally enrolled in this study. The results showed that CEUS significantly improved the reliability of TA-US in evaluating tumor diameter; the intraclass correlation coefficient (ICC) was from 0.672 to 0.735. TR-US indicated good reliability with or without the addition of CEUS (ICC = 0.796 and 0.780). In terms of tumor staging, CEUS improved the consistency of transabdominal (weighted κ values from 0.689 to 0.731) and transrectal staging of tumors (κ from 0.758 to 0.785), and the staging of TR-US combined with TR-CEUS had the highest consistency with post-operative results, similar to MRI (κ, respectively 0.785 and 0.789). CEUS can reflect the heterogeneity of the tumor. Heterogeneous enhancement and perfusion defects were more common in >2 cm cervical cancer (50%, 20/40 and 52.5%, 21/40), respectively, and perfusion defects were more common in moderately to poorly differentiated tumors (66.67%, 20/30). CONCLUSION For stage IB and IIA cervical cancer, CEUS can aid in assessing the International Federation for Gynecology and Obstetrics staging of tumors alongside TA-US and TR-US. The combination of TR-US and TR-CEUS has shown good consistency with pathology in the staging of cervical cancer, comparable to that of MRI.
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Affiliation(s)
- Juan Zhang
- Department of Gynaecology and Obstetrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang-Dong Xiang
- Department of Gynaecology and Obstetrics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chao Jia
- Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lian-Fang Du
- Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fan Li
- Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Anghel B, Serboiu C, Marinescu A, Taciuc IA, Bobirca F, Stanescu AD. Recent Advances and Adaptive Strategies in Image Guidance for Cervical Cancer Radiotherapy. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1735. [PMID: 37893453 PMCID: PMC10608436 DOI: 10.3390/medicina59101735] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/18/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023]
Abstract
The standard of care for locally advanced cervical cancer is external beam radiotherapy (EBRT) with simultaneous chemotherapy followed by an internal radiation boost. New imaging methods such as positron-emission tomography and magnetic resonance imaging have been implemented into daily practice for better tumor delineation in radiotherapy planning. The method of delivering radiation has changed with technical advances in qualitative imaging and treatment delivery. Image-guided radiotherapy (IGRT) plays an important role in minimizing treatment toxicity of pelvic radiation and provides a superior conformality for sparing the organs at risk (OARs) such as bone marrow, bowel, rectum, and bladder. Similarly, three-dimensional image-guided adaptive brachytherapy (3D-IGABT) with computed tomography (CT) or magnetic resonance imaging (MRI) has been reported to improve target coverage and reduce the dose to normal tissues. Brachytherapy is a complementary part of radiotherapy treatment for cervical cancer and, over the past 20 years, 3D-image-based brachytherapy has rapidly evolved and established itself as the gold standard. With new techniques and adaptive treatment in cervical cancer, the concept of personalized medicine is introduced with an enhanced comprehension of the therapeutic index not only in terms of volume (three-dimensional) but during treatment too (four-dimensional). Current data show promising results with integrated IGRT and IGABT in clinical practice and, therefore, better local control and overall survival while reducing treatment-related morbidity. This review gives an overview of the substantial impact that occurred in the progress of image-guided adaptive external beam radiotherapy and brachytherapy.
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Affiliation(s)
- Beatrice Anghel
- Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (B.A.); (I.-A.T.); (F.B.); (A.D.S.)
- Department of Radiation Oncology, Sanador Oncology Centre, 010991 Bucharest, Romania
| | - Crenguta Serboiu
- Department of Histology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Andreea Marinescu
- Radiology and Imaging Department, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Iulian-Alexandru Taciuc
- Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (B.A.); (I.-A.T.); (F.B.); (A.D.S.)
- Nuclear Medicine Department, Oncological Institute “Prof. Dr. Alexandru Trestioreanu”, 022328 Bucharest, Romania
| | - Florin Bobirca
- Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (B.A.); (I.-A.T.); (F.B.); (A.D.S.)
- General Surgery Department, Cantacuzino Clinical Hospital, 73206 Bucharest, Romania
| | - Anca Daniela Stanescu
- Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania; (B.A.); (I.-A.T.); (F.B.); (A.D.S.)
- Department of Obstetrics and Gynecology, St. John Emergency Hospital, Bucur Maternity, 040292 Bucharest, Romania
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Ji H, Hu C, Yang X, Liu Y, Ji G, Ge S, Wang X, Wang M. Lymph node metastasis in cancer progression: molecular mechanisms, clinical significance and therapeutic interventions. Signal Transduct Target Ther 2023; 8:367. [PMID: 37752146 PMCID: PMC10522642 DOI: 10.1038/s41392-023-01576-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 07/04/2023] [Accepted: 07/26/2023] [Indexed: 09/28/2023] Open
Abstract
Lymph nodes (LNs) are important hubs for metastatic cell arrest and growth, immune modulation, and secondary dissemination to distant sites through a series of mechanisms, and it has been proved that lymph node metastasis (LNM) is an essential prognostic indicator in many different types of cancer. Therefore, it is important for oncologists to understand the mechanisms of tumor cells to metastasize to LNs, as well as how LNM affects the prognosis and therapy of patients with cancer in order to provide patients with accurate disease assessment and effective treatment strategies. In recent years, with the updates in both basic and clinical studies on LNM and the application of advanced medical technologies, much progress has been made in the understanding of the mechanisms of LNM and the strategies for diagnosis and treatment of LNM. In this review, current knowledge of the anatomical and physiological characteristics of LNs, as well as the molecular mechanisms of LNM, are described. The clinical significance of LNM in different anatomical sites is summarized, including the roles of LNM playing in staging, prognostic prediction, and treatment selection for patients with various types of cancers. And the novel exploration and academic disputes of strategies for recognition, diagnosis, and therapeutic interventions of metastatic LNs are also discussed.
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Affiliation(s)
- Haoran Ji
- Department of Thoracic Surgery, Shanghai Key Laboratory of Tissue Engineering, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Chuang Hu
- Department of Thoracic Surgery, Shanghai Key Laboratory of Tissue Engineering, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Xuhui Yang
- Department of Thoracic Surgery, Shanghai Key Laboratory of Tissue Engineering, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Yuanhao Liu
- Department of Thoracic Surgery, Shanghai Key Laboratory of Tissue Engineering, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Guangyu Ji
- Department of Thoracic Surgery, Shanghai Key Laboratory of Tissue Engineering, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Shengfang Ge
- Department of Ophthalmology, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiansong Wang
- Department of Thoracic Surgery, Shanghai Key Laboratory of Tissue Engineering, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
| | - Mingsong Wang
- Department of Thoracic Surgery, Shanghai Key Laboratory of Tissue Engineering, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
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Ai C, Zhang L, Ding W, Zhong S, Li Z, Li M, Zhang H, Zhang L, Zhang L, Hu H. A nomogram-based optimized Radscore for preoperative prediction of lymph node metastasis in patients with cervical cancer after neoadjuvant chemotherapy. Front Oncol 2023; 13:1117339. [PMID: 37655103 PMCID: PMC10466037 DOI: 10.3389/fonc.2023.1117339] [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: 12/06/2022] [Accepted: 07/24/2023] [Indexed: 09/02/2023] Open
Abstract
Purpose To construct a superior single-sequence radiomics signature to assess lymphatic metastasis in patients with cervical cancer after neoadjuvant chemotherapy (NACT). Methods The first half of the study was retrospectively conducted in our hospital between October 2012 and December 2021. Based on the history of NACT before surgery, all pathologies were divided into the NACT and surgery groups. The incidence rate of lymphatic metastasis in the two groups was determined based on the results of pathological examination following lymphadenectomy. Patients from the primary and secondary centers who received NACT were enrolled for radiomics analysis in the second half of the study. The patient cohorts from the primary center were randomly divided into training and test cohorts at a ratio of 7:3. All patients underwent magnetic resonance imaging after NACT. Segmentation was performed on T1-weighted imaging (T1WI), T2-weighted imaging, contrast-enhanced T1WI (CET1WI), and diffusion-weighted imaging. Results The rate of lymphatic metastasis in the NACT group (33.2%) was significantly lower than that in the surgery group (58.7%, P=0.007). The area under the receiver operating characteristic curve values of Radscore_CET1WI for predicting lymph node metastasis and non-lymphatic metastasis were 0.800 and 0.797 in the training and test cohorts, respectively, exhibiting superior diagnostic performance. After combining the clinical variables, the tumor diameter on magnetic resonance imaging was incorporated into the Rad_clin model constructed using Radscore_CET1WI. The Hosmer-Lemeshow test of the Rad_clin model revealed no significant differences in the goodness of fit in the training (P=0.594) or test cohort (P=0.748). Conclusions The Radscore provided by CET1WI may achieve a higher diagnostic performance in predicting lymph node metastasis. Superior performance was observed with the Rad_clin model.
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Affiliation(s)
- Conghui Ai
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Lan Zhang
- Department of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, China
| | - Wei Ding
- 920th Hospital of Joint Logistics Support Force, Kunming, Yunnan, China
| | - Suixing Zhong
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Zhenhui Li
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Miaomiao Li
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Huimei Zhang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Lan Zhang
- Department of Radiology, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Lei Zhang
- Department of Gynecology, Yunnan Tumor Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Hongyan Hu
- Department of Pathology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Center), Kunming, China
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Li S, Liu J, Zhang W, Lu H, Wang W, Lin L, Zhang Y, Cheng J. T1 mapping and multimodel diffusion-weighted imaging in the assessment of cervical cancer: a preliminary study. Br J Radiol 2023; 96:20220952. [PMID: 37183908 PMCID: PMC10392640 DOI: 10.1259/bjr.20220952] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/22/2023] [Accepted: 04/23/2023] [Indexed: 05/16/2023] Open
Abstract
OBJECTIVE To evaluate the clinical feasibility of T1 mapping and multimodel diffusion-weighted imaging (DWI) for assessing the histological type, grade, and lymphovascular space invasion (LVSI) of cervical cancer. METHODS Eighty patients with cervical cancer and 43 patients with a normal cervix underwent T1 mapping and DWI with 11 b-values (0-2000 s/mm2). Monoexponential, biexponential, and kurtosis models were fitted to calculate the apparent diffusion coefficient (ADC), pure molecular diffusion (D), pseudo-diffusion (D*), perfusion fraction (f), mean diffusivity (MD), and mean kurtosis (MK). Native T1 and DWI-derived parameters (ADCmean, ADCmin, Dmean, Dmin, D*, f, MDmean, MDmin, MKmean, and MKmax) were compared based on histological type, grade, and LVSI status. RESULTS Native T1 and DWI-derived parameters differed significantly between cervical cancer and normal cervix (all p < 0.05), except D* (p = 0.637). Native T1 and MKmean varied significantly between squamous cell carcinoma (SCC) and adenocarcinoma (both p < 0.05). ADCmin, Dmin, and MDmin were significantly lower while MKmax was significantly higher in the high-grade SCC group than in the low-grade SCC group (all p < 0.05). LVSI-positive SCC had a significantly higher MKmean than LVSI-negative SCC (p < 0.05). CONCLUSION Both T1 mapping and multimodel DWI can effectively differentiate cervical cancer from a normal cervix and cervical adenocarcinoma from SCC. Furthermore, multimodel DWI may provide quantitative metrics for non-invasively predicting histological grade and LVSI status in SCC patients. ADVANCES IN KNOWLEDGE Combined use of T1 mapping and multimodel DWI may provide more comprehensive information for non-invasive pre-operative evaluation of cervical cancer.
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Affiliation(s)
- Shujian Li
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Liu
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wenhua Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huifang Lu
- Department of Gynecology and Obstetrics, Huaihe Hospital of Henan University, Kaifeng, China
| | - Weijian Wang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Liangjie Lin
- Advanced Technical Support, Philips Healthcare, Beijing, China
| | - Yong Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Zhong J, Su M, Jiang Y, Huang L, Chen Y, Huang Z, Zhang X. VEGFR2 targeted microbubble-based ultrasound molecular imaging improving the diagnostic sensitivity of microinvasive cervical cancer. J Nanobiotechnology 2023; 21:220. [PMID: 37438780 DOI: 10.1186/s12951-023-01984-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 07/05/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND The current diagnostic methods of microinvasive cervical cancer lesions are imaging diagnosis and pathological evaluation. Pathological evaluation is invasive and imaging approaches are of extremely low diagnostic performance. There is a paucity of effective and noninvasive imaging approaches for these extremely early cervical cancer during clinical practice. In recent years, ultrasound molecular imaging (USMI) with vascular endothelial growth factor receptor type 2 (VEGFR2) targeted microbubble (MBVEGFR2) has been reported to improve the early diagnosis rates of breast cancer (including ductal carcinoma in situ), pancreatic cancer and hepatic micrometastases. Herein, we aimed to assess the feasibility of MBVEGFR2-based USMI in extremely early cervical cancer detection to provide an accurate imaging modality for microinvasive cervical cancer (International Federation of Gynecology and Obstetrics (FIGO) Stage IA1 and IA2). RESULTS We found MBVEGFR2-based USMI could successfully distinguish extremely early lesions in diameter < 3 mm from surrounding normal tissues (all P < 0.05), and the sensitivity gradually decreased along with increasing tumor diameter. Moreover, normalized intensity difference (NID) values showed a good linear correlation with microvessel density (MVD) (R2 = 0.75). In addition, all tumors could not be identified from surrounding muscles in subtracted ultrasound images when mice were administered MBCon. CONCLUSIONS Overall, MBVEGFR2-based USMI has huge potential for clinical application for the early detection of microinvasive cervical cancer (FIGO Stage IA1 and IA2), providing the foothold for future studies on the imaging screening of this patient population.
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Affiliation(s)
- Junlin Zhong
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Manting Su
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Ye Jiang
- Department of Pathology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Licong Huang
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Ying Chen
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Zhuoshan Huang
- Department of Cardiovascular Medicine, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China
| | - Xinling Zhang
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, Guangdong, China.
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Pautier P, Genestie C, Gladieff L, Kurtz JE, Lortholary A, de La Motte Rouge T, Gaillard AL, Ducassou A, Dubot C, Rouleau E, Narducci F, Demontoy S, Hennequin C. Recommandations pour la pratique clinique Nice/Saint-Paul-de-Vence 2022–2023 : Prise en charge du cancer du col de l'utérus avancé. Bull Cancer 2023; 110:6S44-6S50. [PMID: 37573038 DOI: 10.1016/s0007-4551(23)00333-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/14/2023]
Abstract
French recommendations for clinical practice, Nice/Saint-Paul-de-Vence 2022-2023: Management of advanced cervical cancer The prognosis of cervical cancer remained pejorative until recently, first-line treatment consisting of platinum-based chemotherapy, associated with bevacizumab whenever possible, without any other therapeutic innovation for several years. However in 2022, immunotherapy appeared in the therapeutic landscape. Pembrolizumab can now be prescribed, thanks to the early access status granted by the HAS in September 2022, in patients with PD-L1 positive tumors. In parallel, bevacizumab generic is now reimbursed, allowing its association with chemotherapy on top of pembrolizumab, if indicated. For patient relapsing after platinium salts, and who never received immunotherapy, cemiplimab could be delivered and reimboursed since spring 2023, whatever could be PD-L1 status. Pretherapeutic work-up includes imaging combining MRI and PET/CT or CT of the chest, abdomen and pelvis, as well as evaluation of PD-L1 status on tumor and immune cells to define the CPS score that will determine eligibility to pembrolizumab treatment (CPS > 1). Possibilities of locoregional treatment depend on individual situations and are discussed on a case-by-case basis in multidisciplinary meetings. Early supportive care is always recommended and inclusion in clinical trials must be systematically considered.
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Affiliation(s)
- Patricia Pautier
- Département d'oncologie médicale, service de gynécologie, Gustave-Roussy, Villejuif, France.
| | | | - Laurence Gladieff
- Département d'oncologie médicale, institut Claudius-Régaud, Toulouse, France
| | - Jean-Emmanuel Kurtz
- Département d'oncologie médicale, institut de cancérologie de Strasbourg, Strasbourg, France
| | - Alain Lortholary
- Service d'oncologie médicale, institut de cancérologie Catherine-de-Sienne, Nantes, France
| | | | | | - Anne Ducassou
- Département de radiothérapie, institut Claudius-Régaud, Toulouse, France
| | - Coraline Dubot
- Département d'oncologie médicale, centre François-Baclesse, Caen, France
| | - Etienne Rouleau
- Service de génétique des tumeurs, Gustave-Roussy, Villejuif, France
| | - Fabrice Narducci
- Département de cancérologie gynécologique, centre Oscar-Lambret, Lille, France
| | - Sylvain Demontoy
- Département de radiothérapie, institut du cancer de Montpellier, Montpellier, France
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Goh V. Genitourinary Imaging in 2040. Radiology 2023; 307:e230223. [PMID: 37249430 PMCID: PMC10315527 DOI: 10.1148/radiol.230223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 05/31/2023]
Affiliation(s)
- Vicky Goh
- From the Department of Cancer Imaging, School of Biomedical
Engineering and Imaging Sciences, King’s College London, SE1 7EH,
United Kingdom; and Department of Radiology, Guy’s & St
Thomas’ NHS Foundation Trust, Level 1, Lambeth Wing, St Thomas’
Hospital, Westminster Bridge Rd, London, United Kingdom
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28
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Shelley CE, Bolt MA, Hollingdale R, Chadwick SJ, Barnard AP, Rashid M, Reinlo SC, Fazel N, Thorpe CR, Stewart AJ, South CP, Adams EJ. Implementing cone-beam computed tomography-guided online adaptive radiotherapy in cervical cancer. Clin Transl Radiat Oncol 2023; 40:100596. [PMID: 36910024 PMCID: PMC9999162 DOI: 10.1016/j.ctro.2023.100596] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 02/12/2023] [Indexed: 02/16/2023] Open
Abstract
Background and purpose Adaptive radiotherapy (ART) in locally advanced cervical cancer (LACC) has shown promising outcomes. This study investigated the feasibility of cone-beam computed tomography (CBCT)-guided online ART (oART) for the treatment of LACC. Material and methods The quality of the automated radiotherapy treatment plans and artificial intelligence (AI)-driven contour delineation for LACC on a novel CBCT-guided oART system were assessed. Dosimetric analysis of 200 simulated oART sessions were compared with standard treatment. Feasibility of oART was assessed from the delivery of 132 oART fractions for the first five clinical LACC patients. The simulated and live oART sessions compared a fixed planning target volume (PTV) margin of 1.5 cm around the uterus-cervix clinical target volume (CTV) with an internal target volume-based approach. Workflow timing measurements were recorded. Results The automatically-generated 12-field intensity-modulated radiotherapy plans were comparable to manually generated plans. The AI-driven organ-at-risk (OAR) contouring was acceptable requiring, on average, 12.3 min to edit, with the bowel performing least well and rated as unacceptable in 16 % of cases. The treated patients demonstrated a mean PTV D98% (+/-SD) of 96.7 (+/- 0.2)% for the adapted plans and 94.9 (+/- 3.7)% for the non-adapted scheduled plans (p<10-5). The D2cc (+/-SD) for the bowel, bladder and rectum were reduced by 0.07 (+/- 0.03)Gy, 0.04 (+/-0.05)Gy and 0.04 (+/-0.03)Gy per fraction respectively with the adapted plan (p <10-5). In the live.setting, the mean oART session (+/-SD) from CBCT acquisition to beam-on was 29 +/- 5 (range 21-44) minutes. Conclusion CBCT-guided oART was shown to be feasible with dosimetric benefits for patients with LACC. Further work to analyse potential reductions in PTV margins is ongoing.
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Affiliation(s)
- Charlotte E Shelley
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Matthew A Bolt
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Rachel Hollingdale
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Susan J Chadwick
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Andrew P Barnard
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Miriam Rashid
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Selina C Reinlo
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Nawda Fazel
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Charlotte R Thorpe
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Alexandra J Stewart
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK.,University of Surrey, Guildford GU2 7XX, UK
| | - Chris P South
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
| | - Elizabeth J Adams
- Department of Oncology, St. Luke's Cancer Centre, Royal Surrey Hospital NHS Foundation Trust, Guildford, Surrey GU2 7XX, UK
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29
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van Kol KGG, Ebisch RMF, van der Aa M, Wenzel HB, Piek JMJ, Bekkers RLM. The prognostic value of the presence of pelvic and/or para-aortic lymph node metastases in cervical cancer patients; the influence of the new FIGO classification (stage IIIC). Gynecol Oncol 2023; 171:9-14. [PMID: 36804623 DOI: 10.1016/j.ygyno.2023.01.023] [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: 10/24/2022] [Revised: 12/28/2022] [Accepted: 01/17/2023] [Indexed: 02/18/2023]
Abstract
INTRODUCTION One of the major changes in the revised (2018) FIGO-staging system is the addition of stage IIIC to the previously used 2009 system. We evaluated the prognostic value of positive pelvic and/or para-aortic lymph nodes in patients with cervical cancer. METHODS A nationwide retrospective cohort study was performed by analyzing data from the Netherlands Cancer Registry. All patients newly diagnosed with stage IB-IVA between 2005 and 2018 were identified. Three-year, 5-year and 15-year overall survival (OS) rates were estimated with the Kaplan-Meier method. RESULTS Of the included 6082 patients, 1740 patients (29%) had pelvic and/or para-aortic lymph node metastases. For patients with FIGO 2009 stage IB-IB1-IIA-IIA1 and stage IB2-IIA2-IIB with pelvic and/or para-aortic lymph node metastases the OS was significantly different (p < 0.001 and p = 0.009), with a 5-year OS of 77% and 67%, compared with 92% and 74% for women without lymph node metastases. For FIGO 2009 stage IIIA-IIIB-IVA with and without lymph node metastases, survival rates are not significantly different (p = 0.064). For FIGO 2018 stage IIIC the 3y-OS, 5y-OS and 15-year OS are 72%, 65% and 59% respectively. Survival rates of IIIC diagnosed based on imaging (IIICr) are significantly impaired compared to stage IIIC diagnosed based on pathology (IIICp) (p < 0.001). CONCLUSION Patients with FIGO 2009 stage IB-IIB cervical cancer with pelvic and/or para-aortic lymph node metastases have significantly impaired survival compared to patients without metastases. Survival rates of patients with FIGO 2009 stage IIIA-IVA are not affected by lymph node metastases.
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Affiliation(s)
- K G G van Kol
- Department of Obstetrics and Gynecology and Catharina Cancer Institute, Catharina Hospital, Eindhoven, the Netherlands; Department of Obstetrics and Gynecology GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, the Netherlands.
| | - R M F Ebisch
- Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - M van der Aa
- Department of Research & Development, Netherlands Comprehensive Cancer Organization, Utrecht, the Netherlands
| | - H B Wenzel
- Department of Research & Development, Netherlands Comprehensive Cancer Organization, Utrecht, the Netherlands; Department of Obstetrics and Gynecology, University Medical Centre Groningen, University of Groningen, Groningen, the Netherlands
| | - J M J Piek
- Department of Obstetrics and Gynecology and Catharina Cancer Institute, Catharina Hospital, Eindhoven, the Netherlands
| | - R L M Bekkers
- Department of Obstetrics and Gynecology and Catharina Cancer Institute, Catharina Hospital, Eindhoven, the Netherlands; Department of Obstetrics and Gynecology GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+, Maastricht, the Netherlands
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30
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Ditto A, Leone Roberti Maggiore U, Evangelisti G, Bogani G, Chiappa V, Martinelli F, Raspagliesi F. Diagnostic Accuracy of Magnetic Resonance Imaging in the Pre-Operative Staging of Cervical Cancer Patients Who Underwent Neoadjuvant Treatment: A Clinical–Surgical–Pathologic Comparison. Cancers (Basel) 2023; 15:cancers15072061. [PMID: 37046722 PMCID: PMC10093554 DOI: 10.3390/cancers15072061] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/24/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Magnetic resonance imaging (MRI) has been proven to ensure high diagnostic accuracy in the identification of vaginal, parametrial, and lymph node involvement in patients affected by cervical cancer (CC), thus playing a crucial role in the preoperative staging of the disease. This study aims to compare the accuracy of MRI for the preoperative staging of patients with CC who underwent neoadjuvant treatment (NAT) or direct surgery. Retrospective data analysis of 126 patients with primary CC International Federation of Gynecology and Obstetrics stage IB3-IIB who underwent NAT before radical surgery (NAT group = 94) or received surgical treatment alone (control arm = 32) was prospectively performed. All enrolled patients were clinically assessed with both a pelvic examination and MRI before surgical treatment. Data from the clinical examination were compared with the histopathological findings to assess the accuracy of MRI for staging purposes after NAT or before direct surgery. MRI showed an overall accuracy of 46.1%, proving it to be not superior to pelvic and physical examination. The overall MRI accuracy for the evaluation of parametrial, vaginal, and lymph node status was 65.8%, 79.4%, and 79.4%, respectively. In the NAT group, the accuracy for the detection of parametrial, lymph node, and vaginal involvement was lower than the control group; however, the difference was not significant (p ≥ 0.05). The overall accuracy of MRI for the preoperative staging of CC after NAT is shown to be not unsatisfactory. The limits of MRI staging are especially evident when dealing with pre-treated patients.
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31
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Li S, Liu J, Guo R, Nickel MD, Zhang Y, Cheng J, Zhu J. T 1 mapping and extracellular volume fraction measurement to evaluate the poor-prognosis factors in patients with cervical squamous cell carcinoma. NMR IN BIOMEDICINE 2023:e4918. [PMID: 36914267 DOI: 10.1002/nbm.4918] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 02/13/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
PURPOSE To evaluate the clinical feasibility of T1 mapping and extracellular volume fraction (ECV) measurement in assessing prognostic factors in patients with cervical squamous cell carcinoma (CSCC). MATERIALS AND METHODS A total of 117 CSCC patients and 59 healthy volunteers underwent T1 mapping and diffusion-weighted imaging (DWI) on a 3 T system. Native T1 , contrast-enhanced T1 , ECV, and apparent diffusion coefficient (ADC) were calculated and compared based on surgico-pathologically verified deep stromal infiltration, parametrial invasion (PMI), lymphovascular space invasion (LVSI), lymph node metastasis, stage, histologic grade, and the Ki-67 labeling index (LI). RESULTS Native T1 , contrast-enhanced T1 , ECV, and ADC values were significantly different between CSCC and the normal cervix (all p < 0.05). No significant differences were observed in any parameters of CSCC when the tumors were grouped by stromal infiltration or lymph node status, respectively (all p > 0.05). In subgroups of the tumor stage and PMI, native T1 was significantly higher for advanced-stage (p = 0.032) and PMI-positive CSCC (p = 0.001). In subgroups of the grade and Ki-67 LI, contrast-enhanced T1 was significantly higher for high-grade (p = 0.012) and Ki-67 LI ≥ 50% tumors (p = 0.027). ECV was significantly higher in LVSI-positive CSCC than in LVSI-negative CSCC (p < 0.001). ADC values showed a significant difference for the grade (p < 0.001) but none for the other subgroups. CONCLUSION Both T1 mapping and DWI could stratify the CSCC histologic grade. In addition, T1 mapping and ECV measurement might provide more quantitative metrics for noninvasively predicting poor prognostic factors and aiding in preoperative risk assessment in CSCC patients.
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Affiliation(s)
- Shujian Li
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Liu
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Rufei Guo
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | - Yong Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jinxia Zhu
- MR Collaboration, Siemens Healthcare Ltd., Beijing, China
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32
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Li P, Liu J, He K, Gong S, Chi C, Liu P, Su G, Li W, Duan H, Liu P, Tian J, Chen C. Tumor lesion detection in patients with cervical cancer by indocyanine green near-infrared imaging. Eur J Nucl Med Mol Imaging 2023; 50:1252-1261. [PMID: 36450938 DOI: 10.1007/s00259-022-06030-1] [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: 08/08/2022] [Accepted: 10/30/2022] [Indexed: 12/03/2022]
Abstract
PURPOSE To investigate the feasibility and accuracy of near-infrared fluorescence (NIRF) imaging for detecting the extent of tumor invasion in cervical cancer using indocyanine green (ICG). METHODS We enrolled 51 patients who were diagnosed with cervical cancer with FIGO stage IB1-IIA2 disease. Patients were administered indocyanine green (ICG) at a dose of 5 mg/kg 24 h prior to surgery. A customized near-infrared fluorescence (NIRF) imaging system was used to identify the extent of tumor invasion when radical hysterectomy specimens were harvested. The relationship between tumor fluorescence intensity and clinicopathological characteristics was analyzed. RESULTS Of the 51 enrolled patients, 3 patients did not have residual tumors after cervical conization, and tumor lesions were identified by NIRF imaging in all the remaining 48 patients. The results of NIRF imaging were in agreement with the postoperative pathological findings in 95.8% of the patients with stromal invasion, 100% of those with surgical margin invasion, 100% of those with parametrial tumor involvement, and 100% of patients with uterine corpus invasion. The mean signal-to-background ratio (SBR) of the cervical tumors was 2.91 ± 1.64, and the SBR was independent of clinicopathological characteristics. Fluorescence microscopy confirmed that ICG fluorescence was present in the tumor nests. CONCLUSIONS NIRF imaging enables objective, accurate, and safe identification of tumor invasion during cervical cancer surgery. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov NCT04224467.
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Affiliation(s)
- Pengfei Li
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou, 510515, China
| | - Jiaqi Liu
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou, 510515, China
| | - Kunshan He
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China.,Key Laboratory of Big Data-Based Precision Medicine, Ministry of Industry and Information Technology, Beihang University, 100191, Beijing, China.,CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Shipeng Gong
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou, 510515, China
| | - Chongwei Chi
- CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Pan Liu
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou, 510515, China
| | - Guidong Su
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China
| | - Weili Li
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou, 510515, China
| | - Hui Duan
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou, 510515, China
| | - Ping Liu
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou, 510515, China.
| | - Jie Tian
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, 100191, China. .,Key Laboratory of Big Data-Based Precision Medicine, Ministry of Industry and Information Technology, Beihang University, 100191, Beijing, China. .,CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
| | - Chunlin Chen
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, Guangzhou, 510515, China.
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Garrett MD, Li F, Lemus OD, Lavrova E, Savacool M, Price MJ, Kachnic LA, Horowitz DP, Chin C. Impact of Adapted Radiotherapy Schedules on Bowel Sparing in Node-Positive Cervical Cancer. Pract Radiat Oncol 2023; 13:e184-e191. [PMID: 36539155 DOI: 10.1016/j.prro.2022.11.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/28/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE Definitive radiation therapy (RT) for locally advanced node-positive cervical cancer confers significant toxicity to pelvic organs including the small bowel. Gross nodal disease exhibits significant shrinkage during RT, and yet conventional RT does not account for this change. We evaluated the reduction in absorbed bowel dose using various adaptive RT schedules. METHODS AND MATERIALS We obtained 130 evaluable scans (computed tomography simulation and 25 cone beam computed tomography scans per patient) of 5 patients who had received definitive external beam RT for lymph node positive cervical cancer daily over 5 weeks. Using a single universal volumetric modulated arc therapy plan with predefined optimization priorities, we created adapted RT plans in 4 schedules: Daily, Weekly, Twice, and NoAdapt (mimicking conventional nonadapted RT). The in silico (computer modeled) patients were treated to 45 Gy to primary cervical disease with a simultaneous integrated boost to 55 Gy to involved lymph nodes. We evaluated dose metrics including D2cc, D15cc, and V45 to determine the impact of adapted RT schedules on bowel sparing. Statistical tests included the Student t test, analysis of variance, and the Spearman rank correlation. RESULTS The quantity of reduced bowel dose was significantly associated with the chosen planning schedule in all evaluated metrics and was proportional to the frequency of adaptive RT with significant moderate-to-strong monotonicity. Both D2cc and D15cc were reduced an average of 2.7 Gy using daily replanning compared with a nonadapted approach. A minimally adapted strategy of only 2 replans also confers a significant dosimetric benefit over a nonadapted approach. Reduced standard deviations of D2cc and V45 bowel doses over the treatment courses were significantly associated with the choice of planning schedule with strong monotonicity. CONCLUSIONS All adaptive RT schedules evaluated confer significant dosimetric advantages in bowel sparing over a conventional nonadapted technique, with greater sparing seen with more frequent replanning schedules. These findings warrant future trials of adaptive RT for pelvic malignancies.
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Affiliation(s)
- Matthew D Garrett
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York
| | - Fiona Li
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York
| | - Olga Dona Lemus
- Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York
| | - Elizaveta Lavrova
- Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York
| | - Michelle Savacool
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York
| | - Michael J Price
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York
| | - Lisa A Kachnic
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York
| | - David P Horowitz
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York
| | - Christine Chin
- Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
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Ștefan PA, Coțe A, Csutak C, Lupean RA, Lebovici A, Mihu CM, Lenghel LM, Pușcas ME, Roman A, Feier D. Texture Analysis in Uterine Cervix Carcinoma: Primary Tumour and Lymph Node Assessment. Diagnostics (Basel) 2023; 13:442. [PMID: 36766547 PMCID: PMC9914884 DOI: 10.3390/diagnostics13030442] [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: 01/02/2023] [Revised: 01/18/2023] [Accepted: 01/21/2023] [Indexed: 01/27/2023] Open
Abstract
The conventional magnetic resonance imaging (MRI) evaluation and staging of cervical cancer encounters several pitfalls, partially due to subjective evaluations of medical images. Fifty-six patients with histologically proven cervical malignancies (squamous cell carcinomas, n = 42; adenocarcinomas, n = 14) who underwent pre-treatment MRI examinations were retrospectively included. The lymph node status (non-metastatic lymph nodes, n = 39; metastatic lymph nodes, n = 17) was assessed using pathological and imaging findings. The texture analysis of primary tumours and lymph nodes was performed on T2-weighted images. Texture parameters with the highest ability to discriminate between the two histological types of primary tumours and metastatic and non-metastatic lymph nodes were selected based on Fisher coefficients (cut-off value > 3). The parameters' discriminative ability was tested using an k nearest neighbour (KNN) classifier, and by comparing their absolute values through an univariate and receiver operating characteristic analysis. Results: The KNN classified metastatic and non-metastatic lymph nodes with 93.75% accuracy. Ten entropy variations were able to identify metastatic lymph nodes (sensitivity: 79.17-88%; specificity: 93.48-97.83%). No parameters exceeded the cut-off value when differentiating between histopathological entities. In conclusion, texture analysis can offer a superior non-invasive characterization of lymph node status, which can improve the staging accuracy of cervical cancers.
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Affiliation(s)
- Paul-Andrei Ștefan
- Department of Biomedical Imaging and Image-Guided Therapy, General Hospital of Vienna (AKH), Medical University of Vienna, 1090 Vienna, Austria
- Anatomy and Embryology, Morphological Sciences Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Victor Babeș Street, Number 8, 400012 Cluj-Napoca, Romania
- Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
| | - Adrian Coțe
- Clinical Surgery Department 1, Emergency Clinical County Hospital Oradea, 65 Gheorghe Doja Street, Bihor, 410169 Oradea, Romania
| | - Csaba Csutak
- Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
- Radiology and Imaging, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
| | - Roxana-Adelina Lupean
- Histology, Morphological Sciences Department, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
- Obstetrics and Gynecology Clinic II, County Emergency Hospital Cluj-Napoca, 21 Decembrie 1989 Boulevard, Number 55, 400094 Cluj-Napoca, Romania
| | - Andrei Lebovici
- Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
- Radiology and Imaging, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
| | - Carmen Mihaela Mihu
- Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
- Histology, Morphological Sciences Department, “Iuliu Hațieganu” University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania
| | - Lavinia Manuela Lenghel
- Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
- Radiology and Imaging, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
| | - Marius Emil Pușcas
- Oncological Surgery and Gynaecologic Oncology, Surgery Department, “Iuliu Hatieganu” University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania
- General Surgery Department, Institute of Oncology “Prof. Dr. Ion Chiricuta”, 400006 Cluj-Napoca, Romania
| | - Andrei Roman
- Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
- Radiology and Imaging Department, Institute of Oncology “Prof. Dr. Ion Chiricuta”, 400006 Cluj-Napoca, Romania
| | - Diana Feier
- Radiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
- Radiology and Imaging, Surgical Specialties Department, “Iuliu Haţieganu” University of Medicine and Pharmacy, Clinicilor Street, Number 3–5, 400006 Cluj-Napoca, Romania
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Ruiz Esparza Garrido R, Gutiérrez M, Ángel Velázquez Flores M. Circulating cervical cancer biomarkers potentially useful in medical attention (Review). Mol Clin Oncol 2023; 18:13. [PMID: 36761385 PMCID: PMC9892968 DOI: 10.3892/mco.2023.2609] [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: 09/01/2022] [Accepted: 12/27/2022] [Indexed: 01/19/2023] Open
Abstract
Cervical cancer (CC) is a public health problem worldwide, including Mexico. This type of cancer is the fourth most frequent in women worldwide; in Mexico it is the second most common type in women after breast cancer. The diagnosis of CC is based mainly on Pap smears and colposcopy and the identification of molecular tools that serve as a support for these methods is urgent. Regarding this, differential expressions of specific circulating biomolecules has been detected and, based on this, they have been postulated as potential biomarkers for CC diagnosis, prognosis, and/or to identify the response to treatments. Importantly, the combined analysis of these molecules considerably improves their efficacy as biomarkers and their potential use in the medical attention is promising.
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Affiliation(s)
- Ruth Ruiz Esparza Garrido
- Investigadora por México, Non-coding RNAs Laboratory, Medical Research Unit in Human Genetics, Children's Hospital ‘Dr. Silvestre Frenk Freund’, National Medical Center XXI Century, Mexican Institute of Social (Instituto Mexicano del Seguro Social, IMSS), Doctores, Mexico City 06720, Mexico
| | - Mercedes Gutiérrez
- ATSO PHARMA Laboratory, Jardines del Pedregal, Álvaro Obregón, Mexico City 01900, Mexico
| | - Miguel Ángel Velázquez Flores
- Non-coding RNAs Laboratory, Medical Research Unit in Human Genetics, Children's Hospital ‘Dr. Silvestre Frenk Freund’, National Medical Center XXI Century, Mexican Institute of Social (Instituto Mexicano del Seguro Social, IMSS), Doctores, Mexico City 06720, Mexico,Correspondence to: Dr Miguel Ángel Velázquez Flores, Non-coding RNAs Laboratory, Medical Research Unit in Human Genetics, Children's Hospital ‘Dr. Silvestre Frenk Freund’, National Medical Center XXI Century, Mexican Institute of Social Security, 330 Cuauhtémoc Avenue, Doctores, Mexico City 06720, Mexico
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de Alencar NRG, Machado MAD, Mourato FA, de Oliveira ML, Moraes TF, Mattos Junior LAR, Chang TMC, de Azevedo CRAS, Brandão SCS. Exploratory analysis of radiomic as prognostic biomarkers in 18F-FDG PET/CT scan in uterine cervical cancer. Front Med (Lausanne) 2022; 9:1046551. [PMID: 36569127 PMCID: PMC9769204 DOI: 10.3389/fmed.2022.1046551] [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: 09/16/2022] [Accepted: 11/10/2022] [Indexed: 12/05/2022] Open
Abstract
Objective To evaluate the performance of 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET/CT) radiomic features to predict overall survival (OS) in patients with locally advanced uterine cervical carcinoma. Methods Longitudinal and retrospective study that evaluated 50 patients with cervical epidermoid carcinoma (clinical stage IB2 to IVA according to FIGO). Segmentation of the 18F-FDG PET/CT tumors was performed using the LIFEx software, generating the radiomic features. We used the Mann-Whitney test to select radiomic features associated with the clinical outcome (death), excluding the features highly correlated with each other with Spearman correlation. Subsequently, ROC curves and a Kaplan-Meier analysis were performed. A p-value < 0.05 were considered significant. Results The median follow-up was 23.5 months and longer than 24 months in all surviving patients. Independent predictors for OS were found-SUVpeak with an AUC of 0.74, sensitivity of 77.8%, and specificity of 72.7% (p = 0.006); and the textural feature gray-level run-length matrix GLRLM_LRLGE, with AUC of 0.74, sensitivity of 72.2%, and specificity of 81.8% (p = 0.005). When we used the derived cut-off points from these ROC curves (12.76 for SUVpeak and 0.001 for GLRLM_LRLGE) in a Kaplan-Meier analysis, we can see two different groups (one with an overall survival probability of approximately 90% and the other with 30%). These biomarkers are independent of FIGO staging. Conclusion By radiomic 18F-FDG PET/CT data analysis, SUVpeak and GLRLM_LRLGE textural feature presented the best performance to predict OS in patients with cervical cancer undergoing chemo-radiotherapy and brachytherapy.
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Affiliation(s)
- Nadja Rolim Gonçalves de Alencar
- Master of Science Surgery Post-Graduation Program, Federal University of Pernambuco, Recife, Pernambuco, Brazil,Department of Radiology and Nuclear Medicine, Hospital das Clínicas, Federal University of Pernambuco, Recife, Pernambuco, Brazil,*Correspondence: Nadja Rolim Gonçalves de Alencar,
| | - Marcos Antônio Dórea Machado
- Department of Radiology, Complexo Hospitalar Universitário Professor Edgard Santos/Universidade Federal da Bahia (UFBA), Salvador, Bahia, Brazil
| | - Felipe Alves Mourato
- Master of Science Surgery Post-Graduation Program, Federal University of Pernambuco, Recife, Pernambuco, Brazil,Department of Radiology and Nuclear Medicine, Hospital das Clínicas, Federal University of Pernambuco, Recife, Pernambuco, Brazil
| | | | | | | | - Tien-Man Cabral Chang
- Nuclear Medicine Service, Instituto de Medicina Integrada Fernandes Figueira, Recife, Pernambuco, Brazil
| | | | - Simone Cristina Soares Brandão
- Master of Science Surgery Post-Graduation Program, Federal University of Pernambuco, Recife, Pernambuco, Brazil,Department of Radiology and Nuclear Medicine, Hospital das Clínicas, Federal University of Pernambuco, Recife, Pernambuco, Brazil,Clinical Medicine, Center for Medical Sciences, Federal University of Pernambuco, Recife, Pernambuco, Brazil
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Zhang R, Zou Y, Luo J. Application of Extracellular Vesicles in Gynecologic Cancer Treatment. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 9:bioengineering9120740. [PMID: 36550946 PMCID: PMC9774372 DOI: 10.3390/bioengineering9120740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/13/2022] [Accepted: 11/17/2022] [Indexed: 12/05/2022]
Abstract
Ovarian, cervical, and endometrial cancer are the three most common gynecological malignancies that seriously threaten women's health. With the development of molecular biology technology, immunotherapy and targeted therapy for gynecologic tumors are being carried out in clinical treatment. Extracellular vesicles are nanosized; they exist in various body fluids and play an essential role in intercellular communication and in the regulation of various biological process. Several studies have shown that extracellular vesicles are important targets in gynecologic cancer treatment as they promote tumor growth, progression, angiogenesis, metastasis, chemoresistance, and immune system escape. This article reviews the progress of research into extracellular vesicles in common gynecologic tumors and discusses the role of extracellular vesicles in gynecologic tumor treatment.
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Affiliation(s)
- Renwen Zhang
- Institute of Reproductive Health, Center for Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yixing Zou
- Institute of Reproductive Health, Center for Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jing Luo
- Institute of Reproductive Health, Center for Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Correspondence:
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Wang Y, Qiang WM, Li JQ, Shen AM, Chen XC, Li XF, Zhang BZ, Xie J, Yan R, Li XH, Zhang ZL, Wang CL, Li LY. The effect of chronoradiotherapy on cervical cancer patients: A multicenter randomized controlled study. Front Oncol 2022; 12:1021453. [PMID: 36457490 PMCID: PMC9706194 DOI: 10.3389/fonc.2022.1021453] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/24/2022] [Indexed: 12/27/2023] Open
Abstract
OBJECTIVES To investigate the short-term efficacy and radiotoxicity 3.543of chronoradiotherapy in patients with cervical cancer. We also examined the overall symptom score and quality of life (QOL) of patients who underwent morning radiotherapy and evening radiotherapy. METHODS We conducted a multicenter randomized controlled trial to compare the effects of morning radiotherapy (9:00-11:00 AM) with evening radiotherapy (7:00-9:00 PM) in cervical cancer patients receiving radiotherapy. From November 2021 to June 2022, 114 cervical cancer patients admitted to eight cancer center hospitals in Tianjin, Chongqing, Hubei, Shanxi, Shandong, Shaanxi, Hebei, and Cangzhou were randomly divided into the morning radiotherapy group (MG; N = 61) and the evening radiotherapy group (EG; N = 53). The short-term efficacy of radiotherapy on cervical cancer patients at different time points and the occurrence of radiotoxicity were explored after patients had undergone radiotherapy. RESULTS The total effective response (partial remission [PR] + complete remission [CR]) rate was similar across the two groups (93.5% vs. 96.3%, p > 0.05). However, the incidence of bone marrow suppression and intestinal reaction in the two groups were significantly different (p < 0.05). The patients in the MG had significantly higher Anderson symptom scores than patients in the EG (21.64 ± 7.916 vs. 18.53 ± 4.098, p < 0.05). In terms of physical activity, functional status, and overall QOL, the MG had significantly lower scores than the EG (p < 0.05). No other measures showed a significant difference between the groups. CONCLUSION The radiotherapy effect of the MG was consistent with that of the EG. The incidence of radiation enteritis and radiation diarrhea in the MG was significantly higher than that in the EG; however, bone marrow suppression and blood toxicity in the EG were more serious than in the MG. Because of the small sample size of the study, we only examined the short-term efficacy of radiotherapy. Therefore, further clinical trials are needed to verify the efficacy and side effects of chronoradiotherapy. CLINICAL TRIAL REGISTRATION http://www.chictr.org.cn/searchproj.aspx, Registration Number: ChiCTR2100047140.
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Affiliation(s)
- Ying Wang
- Nursing Department, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Wan-Min Qiang
- Nursing Department, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Jia-Qian Li
- Nursing Department, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Ao-Mei Shen
- Nursing Department, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Xiao-Cen Chen
- Nursing Department, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Xiao-Fang Li
- Nursing Department, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Bao-Zhong Zhang
- Nursing Department, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Juan Xie
- Radiotherapy Department, Shaanxi Provincial Cancer Hospital, Xian, China
| | - Rong Yan
- Nursing Department, Shandong Cancer Hospital, Qingdao, China
| | - Xiang-Hua Li
- Nursing Department, Cangzhou People's Hospital, Cangzhou, China
| | - Zhao-Li Zhang
- Nursing Department, Chongqing Cancer Hospital, Chongqing, China
| | - Cui-Ling Wang
- Nursing Department, Shanxi Provincial Cancer Hospital, Taiyuan, China
| | - Lai-You Li
- Nursing Department, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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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 2022; 307:1911-1919. [PMID: 36370209 DOI: 10.1007/s00404-022-06824-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [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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Soliman M, Guys N, Liu P, Moshiri M, Menias CO, Mellnick VM, Savas H, Badawy M, Elsayes KM, Gaballah AH. Multimodality imaging findings of infection-induced tumors. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:3930-3953. [PMID: 36069914 DOI: 10.1007/s00261-022-03651-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/06/2022] [Accepted: 08/09/2022] [Indexed: 01/18/2023]
Abstract
Several infections can predispose to certain malignancies in different body parts. These infections include viral, bacterial, and fungal pathogens. Imaging plays a vital role in the diagnosis, staging, and management of these neoplastic conditions. Furthermore, it can help in differentiating infection-related non-neoplastic processes that can mimic malignancies. Both radiologists and clinicians should be familiar with these conditions. This review discusses the epidemiology, pathogenesis, and imaging features of infection-related tumors.
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Affiliation(s)
- Moataz Soliman
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Nicholas Guys
- Department of Diagnostic Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Peter Liu
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Mariam Moshiri
- Department of Diagnostic Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Vincent M Mellnick
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Hatice Savas
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | - Ayman H Gaballah
- Department of Diagnostic Radiology, University of Missouri, Columbia, MO, USA.
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Paul AG, Miller S, Heilbrun LK, Smith DW. MRI- and PET-Based Assessment of Radiological and Clinical Factors Associated With Cervical Cancer Response to External Beam Radiation Therapy. Cureus 2022; 14:e30645. [DOI: 10.7759/cureus.30645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2022] [Indexed: 11/06/2022] Open
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Sertic M, Kilcoyne A, Catalano OA, Lee SI. Quantitative imaging of uterine cancers with diffusion-weighted MRI and 18-fluorodeoxyglucose PET/CT. Abdom Radiol (NY) 2022; 47:3174-3188. [PMID: 34302185 DOI: 10.1007/s00261-021-03218-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 01/18/2023]
Abstract
Imaging plays an important role in the diagnosis and treatment of women with uterine cervical and endometrial cancers. Quantitative imaging, through MRI, PET/CT, and hybrid PET/MRI, allows for characterization of primary tumors beyond anatomic and qualitative descriptors. MRI diffusion-weighted imaging (DWI) yields an apparent diffusion coefficient (ADC), which can be applied in both the pre-and post-treatment assessment of uterine tumors. PET/CT assesses metabolic activity, and measurement of tumor standardized uptake value (SUV) is a useful metric in the staging of uterine malignancies. Hybrid PET/MRI is an emerging modality that combines the soft tissue contrast of MRI with the molecular imaging capability of PET. This review provides an overview of these quantitative imaging modalities, and their current and potential roles in the assessment of uterine cervical and cancer.
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Affiliation(s)
- Madeleine Sertic
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, USA. .,Harvard Medical School, Boston, MA, USA.
| | - Aoife Kilcoyne
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Onofrio Antonio Catalano
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Susanna I Lee
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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Qi L, Li N, Lin A, Wang X, Cong J. Efficacy and safety of pembrolizumab on cervical cancer: A systematic review and single-arm meta-analysis. Front Oncol 2022; 12:910486. [PMID: 36033480 PMCID: PMC9399507 DOI: 10.3389/fonc.2022.910486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 07/15/2022] [Indexed: 11/23/2022] Open
Abstract
Background According to current research, the objective response rate and overall survival of pembrolizumab in the treatment of several types of solid tumors have been significantly improved. Some high-quality clinical trials have studied the effect of applying pembrolizumab in treating cervical cancer. Multiple clinical trials have been conducted, and some of them have shown good results as expected. Therefore, we performed this meta-analysis on existing studies to reveal the efficacy and safety of pembrolizumab in treating cervical cancer. Methods PubMed, Embase, Cochrane Library and Web of Science were searched for literatures published until October 31, 2021. Outcomes included complete response (CR), partial response (PR), stable disease (SD), disease progression (PD), objective response rate (ORR), disease control rate (DCR), overall survival (OS), progression-free survival (PFS), the best time to response (TTR), death rate, adverse events (AE). Results A total of 7 studies with 727 patients were included. The results were as follows: CR (0.027, 95%CI: 0.008-0.053), PR (0.104, 95% CI: 0.074-0.145), SD (0.190, 95% CI: 0.149-0.240), PD (0.541, 95% CI: 0.421-0.661). ORR was 0.155 (95% CI: 0.098-0.236) and DCR was 0.331 (95% CI: 0.277-0.385). OS was 10.23 months (95% CI: 8.96-11.50) and PFS was 4.27 months (95% CI: 1.57-6.96). TTR was 2.10 months (95%CI: 1.69-2.51). The 1-year death rate was 0.388 (95% CI: 0.230-0.574). Main adverse events included abnormal liver function, hypothyroidism, neutropenia, anemia, decreased appetite, fatigue, fever, etc. The total incidence of the adverse events of grade 3 and above was 0.212 (95% CI: 0.065-0.509). Conclusions Pembrolizumab provides significant benefits in response rate and survival for cervical cancer patients. The results from recent high-quality clinical trials are expected to validate these findings. Systematic Review Registration https://www.crd.york.ac.uk/prospero/, identifier CRD42021291723.
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Affiliation(s)
- Lin Qi
- *Correspondence: Jianglin Cong, ; Lin Qi,
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Comparison of contrast-enhanced ultrasonography and magnetic resonance imaging in the evaluation of tumor size and local invasion of surgically treated cervical cancer. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:2928-2936. [PMID: 35670876 DOI: 10.1007/s00261-022-03558-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/13/2022] [Accepted: 05/13/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVES This retrospective study aimed to compare the performance of contrast-enhanced ultrasound (CEUS) and magnetic resonance imaging (MRI) in staging surgically treated early-stage cervical cancer. METHODS Patients with surgically treated cervical carcinoma confirmed by post-operative pathological findings were included between December 2016 and December 2018. All included patients underwent both CEUS and MRI examinations before the surgery. Post-operative pathology was used as the gold standard. The κ values were calculated to assess the agreements of CEUS and MRI in staging cervical carcinoma in comparison with post-operative pathology. RESULTS Complete data were available for 39 patients. CEUS showed great inter-observer reproducibility in tumor measurement [Intra-class Correlation Coefficient (ICC) 0.831] and moderate inter-observer reproducibility in the evaluation of vaginal infiltration and parametrial invasion (Cohen's κ 0.692 and 0.624). Tumor size was comparable as measured by CEUS and MRI (ICC 0.769). Both CEUS and MRI presented good concordance with post-operative pathology in staging cervical cancer (weighted κ 0.732 and 0.761). CONCLUSION CEUS was comparable to MRI in staging surgically treated cervical cancer and might be considered in the pre-treatment work-up for cervical cancer.
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Added-Value of Diffusion-Weighted Imaging (DWI) and Dynamic Contrast-Enhanced (DCE-MRI) Magnetic Resonance Imaging in the Preoperative Assessment of Cervical Cancer. J Obstet Gynaecol India 2022; 72:330-340. [PMID: 35923516 PMCID: PMC9339443 DOI: 10.1007/s13224-021-01488-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Accepted: 04/15/2021] [Indexed: 11/26/2022] Open
Abstract
Purpose To evaluate the added-value of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in the preoperative assessment of carcinoma cervix. Methods This prospective study was carried out on histopathologically proven 45 patients of carcinoma cervix presented to a tertiary care hospital with bleeding per vagina between August 2017 and July 2018. Relevant local per vaginal examination and MRI examination of the pelvis were performed. Results A total of 45 patients with carcinoma of the cervix, having 11 patients (24.4%) in Stage-I, 22 patients (48.9%) in Stage-II, 3 patients (6.7%) in Stage-III and 9 patients (20%) in stage-IV, were included in this study sample. The mean ADC value of the carcinoma of cervix was 0.802 ± 0.123 [SD] × 10-3 mm2/s. The stage-I carcinoma cervix had a mean ADC value of 0.915 ± 0.109 [SD] × 10-3 mm2/s, Stage-II 0.778 ± 0.099 [SD] × 10-3 mm2/s, Stage-III 0.762 ± 0.123 [SD] × 10-3 mm2/s and Stage-IV 0.737 ± 0.116 [SD] × 10-3 mm2/s. ROC curve analysis showed the percentage of signal intensity changes within cervical tumor on arterial phase of DCE-MRI had a threshold value of 42.25 in differentiating Stage-I carcinoma of cervix from other stages with a sensitivity of 81.8% and specificity of 44.1%. Conclusion The DWI and DCE-MRI added valuable inputs over conventional MR sequences in the early diagnosis and preoperative staging of carcinoma cervix. DCE-MRI had a high accuracy for assessing the cervical stromal and parametrial invasions, which helps in selecting the optimal therapeutic protocol and prognostication in gynecological malignancies.
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Jha P, Pōder L, Glanc P, Patel-Lippmann K, McGettigan M, Moshiri M, Nougaret S, Revzin MV, Javitt MC. Imaging Cancer in Pregnancy. Radiographics 2022; 42:1494-1513. [PMID: 35839139 DOI: 10.1148/rg.220005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Pregnancy-associated cancer (PAC) is defined as cancer that is detected during pregnancy and up to 1 year postpartum. Although rare (~1:1000 pregnancies), PAC is increasing owing to postponed childbearing and advanced maternal age at conception. Cancer-related symptoms masked by physiologic gestational changes may delay diagnosis. Imaging, clinical management, and treatment require a carefully choreographed multidisciplinary team approach. The risk-benefit of every imaging modality, the strategies to balance the safety of mother and fetus, and the support of the patient and family at every step are crucial. US and MRI are preferred imaging modalities that lack ionizing radiation. Radiation dose concerns should be addressed, noting that most imaging examinations (including mammography, radiography, CT, and technetium 99m-labeled sulfur colloid sentinel lymph node staging) are performed at radiation levels below thresholds at which deterministic side effects are seen. Dose estimates should be provided after each examination. The use of iodinated intravenous contrast material is safe during pregnancy, but gadolinium-based contrast material should be avoided. Accurate diagnosis and staging combined with gestational age affect decisions about surgery and chemotherapy. Whole-body MRI with diffusion-weighted sequences is ideal to screen for primary and metastatic sites, determine disease stage, identify biopsy targets, and guide further cancer site-specific imaging. The authors provide an update of the imaging triage, safety considerations, cancer-specific imaging, and treatment options for cancer in pregnancy. An invited commentary by Silverstein and Van Loon is available online. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Priyanka Jha
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
| | - Liina Pōder
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
| | - Phyllis Glanc
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
| | - Krupa Patel-Lippmann
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
| | - Melissa McGettigan
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
| | - Mariam Moshiri
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
| | - Stephanie Nougaret
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
| | - Margarita V Revzin
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
| | - Marcia C Javitt
- From the Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, Box 0628, San Francisco, CA 94143 (P.J., L.P.); Department of Radiology, Obstetrics and Gynecology, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (P.G.); Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L., M. Moshiri); Department of Diagnostic Imaging and Interventional Radiology, Moffitt Cancer Center, and Department of Oncologic Sciences, University of South Florida College of Medicine, Tampa, Fla (M. McGettigan); Department of Radiology, Institut Régional du Cancer de Montpellier, University of Montpellier, Montpellier, France (S.N.); Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Conn (M.V.R.); Department of Radiology, George Washington University Medical Center, Washington, DC (M.C.J.); and Department of Medical Imaging, Rambam Health Care Campus, Haifa, Israel (M.C.J.)
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Yang S, Liu C, Li C, Hua K. Nomogram Predicting Lymph Node Metastasis in the Early-Stage Cervical Cancer. Front Med (Lausanne) 2022; 9:866283. [PMID: 35847788 PMCID: PMC9280490 DOI: 10.3389/fmed.2022.866283] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 06/09/2022] [Indexed: 12/24/2022] Open
Abstract
Background Accurately predicting the risk level of lymph node metastasis is essential for the treatment of patients with early cervical cancer. The purpose of this study is to construct a new nomogram based on 2-deoxy-2-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) and clinical characteristics to assess early-stage cervical cancer patients’ risk of lymph node metastasis. Materials and Methods From January 2019 to November 2020, the records of 234 patients with stage IA-IIA [International Federation of Gynecology and Obstetrics (FIGO) 2018] cervical cancer who had undergone PET/CT examination within 30 days before surgery were retrospectively reviewed. A nomogram to predict the risk of lymph node metastasis was constructed based on it. The nomogram was developed and validated by internal and external validation. The validation cohorts included 191 cervical cancer patients from December 2020 to October 2021. Results Four factors [squamous cell carcinoma associated antigen (SCCA), maximum standardized uptake value of lymph node (nSUVmax), uterine corpus invasion in PET/CT and tumor size in PET/CT] were finally determined as the predictors of the nomogram. At the area under the receiver operating characteristic curve cohort was 0.926 in the primary and was 0.897 in the validation cohort. The calibration curve shows good agreement between the predicted probability and the actual probability. The decision curve analysis showed the clinical utility of the nomogram. Conclusion We had established and verified a simple and effective nomogram, which can be used to predict the lymph node metastasis of cervical cancer patients before surgery.
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Affiliation(s)
- Shimin Yang
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Chunli Liu
- Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, China
| | - Chunbo Li
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
- *Correspondence: Chunbo Li,
| | - Keqin Hua
- Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
- Keqin Hua,
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Jacobsen MC, Beriwal S, Dyer BA, Klopp AH, Lee SI, McGinnis GJ, Robbins JB, Rauch GM, Sadowski EA, Simiele SJ, Stafford RJ, Taunk NK, Yashar CM, Venkatesan AM. Contemporary image-guided cervical cancer brachytherapy: Consensus imaging recommendations from the Society of Abdominal Radiology and the American Brachytherapy Society. Brachytherapy 2022; 21:369-388. [PMID: 35725550 DOI: 10.1016/j.brachy.2022.04.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 04/15/2022] [Accepted: 04/24/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE To present recommendations for the use of imaging for evaluation and procedural guidance of brachytherapy for cervical cancer patients. METHODS An expert panel comprised of members of the Society of Abdominal Radiology Uterine and Ovarian Cancer Disease Focused Panel and the American Brachytherapy Society jointly assessed the existing literature and provide data-driven guidance on imaging protocol development, interpretation, and reporting. RESULTS Image-guidance during applicator implantation reduces rates of uterine perforation by the tandem. Postimplant images may be acquired with radiography, computed tomography (CT), or magnetic resonance imaging (MRI), and CT or MRI are preferred due to a decrease in severe complications. Pre-brachytherapy T2-weighted MRI may be used as a reference for contouring the high-risk clinical target volume (HR-CTV) when CT is used for treatment planning. Reference CT and MRI protocols are provided for reference. CONCLUSIONS Image-guided brachytherapy in locally advanced cervical cancer is essential for optimal patient management. Various imaging modalities, including orthogonal radiographs, ultrasound, computed tomography, and magnetic resonance imaging, remain integral to the successful execution of image-guided brachytherapy.
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Affiliation(s)
- Megan C Jacobsen
- The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX
| | - Sushil Beriwal
- Allegheny Health Network, Department of Radiation Oncology, Pittsburgh, PA; Varian Medical Systems, Palo Alto, CA
| | - Brandon A Dyer
- Legacy Health, Department of Radiation Oncology, Portland, OR
| | - Ann H Klopp
- The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX
| | - Susanna I Lee
- Massachusetts General Hospital, Department of Radiology, Boston, MA
| | - Gwendolyn J McGinnis
- The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, TX
| | | | - Gaiane M Rauch
- The University of Texas MD Anderson Cancer Center, Department of Abdominal Imaging, Houston, TX
| | | | - Samantha J Simiele
- The University of Texas MD Anderson Cancer Center, Department of Radiation Physics, Houston, TX
| | - R Jason Stafford
- The University of Texas MD Anderson Cancer Center, Department of Imaging Physics, Houston, TX
| | - Neil K Taunk
- University of Pennsylvania, Department of Radiation Oncology, Philadelphia, PA
| | - Catheryn M Yashar
- University of California San Diego, Department of Radiation Oncology, San Diego, CA
| | - Aradhana M Venkatesan
- The University of Texas MD Anderson Cancer Center, Department of Abdominal Imaging, Houston, TX.
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49
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Review of the Standard and Advanced Screening, Staging Systems and Treatment Modalities for Cervical Cancer. Cancers (Basel) 2022; 14:cancers14122913. [PMID: 35740578 PMCID: PMC9220913 DOI: 10.3390/cancers14122913] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/10/2022] [Accepted: 06/10/2022] [Indexed: 12/13/2022] Open
Abstract
Simple Summary This review discusses the timeline and development of the recommended screening tests, diagnosis system, and therapeutics implemented in clinics for precancer and cancer of the uterine cervix. The incorporation of the latest automation, machine learning modules, and state-of-the-art technologies into these aspects are also discussed. Abstract Cancer arising from the uterine cervix is the fourth most common cause of cancer death among women worldwide. Almost 90% of cervical cancer mortality has occurred in low- and middle-income countries. One of the major aetiologies contributing to cervical cancer is the persistent infection by the cancer-causing types of the human papillomavirus. The disease is preventable if the premalignant lesion is detected early and managed effectively. In this review, we outlined the standard guidelines that have been introduced and implemented worldwide for decades, including the cytology, the HPV detection and genotyping, and the immunostaining of surrogate markers. In addition, the staging system used to classify the premalignancy and malignancy of the uterine cervix, as well as the safety and efficacy of the various treatment modalities in clinical trials for cervical cancers, are also discussed. In this millennial world, the advancements in computer-aided technology, including robotic modules and artificial intelligence (AI), are also incorporated into the screening, diagnostic, and treatment platforms. These innovations reduce the dependence on specialists and technologists, as well as the work burden and time incurred for sample processing. However, concerns over the practicality of these advancements remain, due to the high cost, lack of flexibility, and the judgment of a trained professional that is currently not replaceable by a machine.
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Xu H, Zhao Z, Zhu Y. Clinicopathologic features and lymph node metastasis pattern of the cervical MiNEN. Endocrine 2022; 76:474-483. [PMID: 35102503 DOI: 10.1007/s12020-022-02992-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/21/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE Mixed neuroendocrine-non-neuroendocrine neoplasm (MiNEN) is a rare type of cervical tumor. Its clinicopathological features, lymph node (LN) metastatic patterns and outcomes are still unclear. METHODS We have analyzed the clinicopathological information of 26 patients with cervical MiNEN. RESULTS The median age of onset for cervical MiNEN was 48 years. Macroscopically, polyps and nodules were the main types. The neuroendocrine components included small cell neuroendocrine carcinoma (SCNEC) (14/26 cases), large cell neuroendocrine carcinoma (LCNEC) (10/26 cases), and typical carcinoid (2/26 cases). Non-neuroendocrine components included adenocarcinoma (AC) (12/26, including one case of AC in situ) and squamous cell carcinoma (SC) (10/26) and adeno-squamous cell carcinoma (ASC) (4/26). Of the 16 AC cases, 15 were human papilloma virus (HPV)-associated AC and one was HPV-independent AC. Except for the case of MiNEN with HPV-independent AC, all cases were diffusely and strongly positive for p16 protein. The lympho-vascular space invasion (LVSI) was seen in 17/26 cases, and the components that invade lymphatic vessels were mainly neuroendocrine carcinomas (NECs) (15/17), followed by SC (1/17) and AC (1/17). Ten patients developed LN metastases, including six in combined SCNECs (6/14) and four in combined LCNECs (4/10); the metastatic component was pure NEC in eight cases (8/10) and SC or AC in two cases (2/10). CONCLUSIONS NEC component is the key factor that determines the clinical behavior and prognosis of cervical MiNEN.
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Affiliation(s)
- Huihui Xu
- Department of Pathology, Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Zehua Zhao
- Department of Pathology, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
| | - Yanmei Zhu
- Department of Pathology, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
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