Editorial: Lymph node assessment in cervical cancer DOI Creative Commons
Benedetta Guani, Enrique Chacón, Francesco Fanfani

et al.

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: Nov. 1, 2023

EDITORIAL article Front. Oncol., 01 November 2023Sec. Gynecological Oncology Volume 13 - 2023 | https://doi.org/10.3389/fonc.2023.1324654

Language: Английский

Current Paradigm and Future Directions in the Management of Nodal Disease in Locally Advanced Cervical Cancer DOI Open Access

Elki Sze-Nga Cheung,

Philip Yuguang Wu

Cancers, Journal Year: 2025, Volume and Issue: 17(2), P. 202 - 202

Published: Jan. 9, 2025

Approximately 36% of patients with cervical cancer present regional nodal metastasis at diagnosis, which is associated adverse survival outcomes after definitive treatment. In the modern era chemoradiotherapy (CRT) and image-guided adaptive brachytherapy (IGABT), where excellent local control achieved for locally advanced (LACC), failure remains a major challenge to cure. To optimize treatment node-positive LACC reduce incidence failure, various approaches have been explored, including methods surgical staging or dissection, RT dose escalation strategies, such as intensity-modulated radiotherapy (IMRT) simultaneous integrated boost (SIB) involved nodes, elective subclinical para-aortic (PAO) disease. Additionally, there growing interest in emerging precision techniques, magnetic resonance-guided (MRgRT) proton therapy, may allow further improvement therapeutic ratio. This review outlines detection metastasis, options LACC, techniques their clinical evidence efficacy toxicity profiles. Furthermore, recent advances systemic therapy promising novel directions that shape management are discussed.

Language: Английский

Citations

2

ConvXGB: A novel deep learning model to predict recurrence risk of early-stage cervical cancer following surgery using multiparametric MRI images DOI Creative Commons
Ji Wu, Jian Li,

Bo Huang

et al.

Translational Oncology, Journal Year: 2025, Volume and Issue: 52, P. 102281 - 102281

Published: Jan. 11, 2025

Language: Английский

Citations

0

MRI delta radiomics during chemoradiotherapy for prognostication in locally advanced cervical cancer DOI Creative Commons
Kari S. Wagner‐Larsen, Njål Lura,

Ankush Gulati

et al.

BMC Cancer, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 22, 2025

Abstract Background Effective diagnostic tools for prompt identification of high-risk locally advanced cervical cancer (LACC) patients are needed to facilitate early, individualized treatment. The aim this work was assess temporal changes in tumor radiomics (delta radiomics) from T2-weighted imaging (T2WI) during concurrent chemoradiotherapy (CCRT) LACC patients, and their association with progression-free survival (PFS). Furthermore, develop, validate, compare delta- pretreatment radiomic signatures prognostic modeling. Methods A total 110 undergoing CCRT MRI at baseline mid-treatment were divided into training (cohort T : n = 73) validation V 37) cohorts. Radiomic features extracted tumors segmented on pre-CCRT mid-CCRT T2WI deltas features) computed. Two predicting PFS constructed by least absolute shrinkage selection operator (LASSO) Cox regression: Delta rad (from delta Pre-CCRT features). Prognostic performance the signatures, 2018 International Federation Gynecology Obstetrics (FIGO) stage (I–IV), MRI-derived maximum diameter (Tumor max ≤2 cm; >2 ≤ 4 >4 cm) evaluated area under time-dependent receiver operating characteristics (tdROC) curves (AUC) cohort (AUC /AUC ). Mann–Whitney U tests assessed differences features. using Kaplan–Meier method log-rank tests. Results 0.74/0.79) marginally outperformed (0.72/0.75) 5-year PFS, both clearly surpassed that FIGO (0.61/0.61) Tumor (0.58/0.65). In total, four within significantly differed feature values between progressors non-progressors, being consistently lower ( p 0.03 all). High scores associated poor 0.04 /Pre-CCRT cohorts; 0.11 Conclusions Delta- equally allow early prognostication LACC, outperforming MRI-assessed diameter.

Language: Английский

Citations

0

The Improved-EFI Score: A Multi-Omics-Based Novel Efficacy Predictive Tool for Predicting the Natural Fertility of Endometriosis Patients DOI Creative Commons

Qiumin He,

Chongyuan Zhang,

Yao Hu

et al.

International Journal of General Medicine, Journal Year: 2025, Volume and Issue: Volume 18, P. 881 - 895

Published: Feb. 1, 2025

Infertility caused by endometriosis (EM) directly affects the possibility of pregnancy in women gestational age. This study aims to establish a prediction model accurately predict natural outcome patients with EM, providing valuable information for clinical decision-making. We retrospectively selected total 496 who underwent their first laparoscopic surgery infertility at Obstetrics and Gynecology Department Jingzhou Central Hospital from January 2016 June 2023. An improved fertility index (EFI) predictive was created based on ultrasound radiomics urinary proteomics gathered during patient's initial admission, using two machine learning algorithms. The evaluated C-index, calibration, applicability through receiver working characteristic curve, decision curve analysis. EFI nomogram, five parameters three urine proteomics, had AUC values 0.921 (95% CI: 0.864-0.978) 0.909 0.852-0.966) training validation sets, respectively, while traditional 0.889 0.832-0.946) 0.873 0.816-0.930) respectively. Additionally, nomogram exhibited better discrimination ability achieved an overall benefit against threshold probability than tree analysis (DCA). combined radiomics-urine able pregnancy-associated EM compared classical score. can help clinicians individual risk following first-ever facilitate earlier diagnosis treatment.

Language: Английский

Citations

0

HPV-driven cancer: from epidemiology to the HPV-driven tumor board proposal, everything you wanted to know but were afraid to ask DOI
Daniela Alterio,

Michał Gola,

Mattia Zaffaroni

et al.

Clinical & Translational Oncology, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

0

Factors associated with bilateral sentinel lymph node mapping failure using indocyanine green in patients with apparent early-stage cervical cancer: an Italian retrospective multi-center study. DOI
Nicolò Bizzarri, Gabriella Schivardi, Giampaolo Di Martino

et al.

European Journal of Surgical Oncology, Journal Year: 2025, Volume and Issue: unknown, P. 109981 - 109981

Published: March 1, 2025

Language: Английский

Citations

0

Artificial intelligence in the diagnosis and management of gynecologic cancer DOI Creative Commons

Chaiyawut Paiboonborirak,

Nadeem R. Abu‐Rustum, Sarikapan Wilailak

et al.

International Journal of Gynecology & Obstetrics, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Language: Английский

Citations

0

Phototheranostic LPP‐QDs‐IR‐820 Nanocomposites for Specific NIR‐II Imaging of Lymphatic and Photothermal Therapy of Cervical Tumors DOI
Lijun Zhu,

Zhong Du,

Jiabao Xiong

et al.

Advanced Healthcare Materials, Journal Year: 2024, Volume and Issue: 13(29)

Published: Oct. 14, 2024

Abstract Precise theranostics of tumors is intricately linked to the early detection and monitoring lymph nodes (LN) metastases, making targeted localization LNs essential for tumor identification. However, designing LN‐targeting probes remains a significant challenge due issues such as lymphatic uptake, biocompatibility, fluorescence stability. To address these challenges, near‐infrared II (NIR‐II) are developed through meticulous analysis LN physiological structure passive targeting strategy therapy. An LPP‐QDs‐IR‐820 nanocomposite (NCs) engineered, comprising IR‐820 molecules ultrabright PbS@CdS quantum dots (QDs), which encapsulated within liposome‐SH‐mPEG 2000 polymer matrix. These NCs demonstrates remarkable enrichment, facilitating real‐time tracking via electrostatic repulsion extracellular matrix effects. Importantly, exhibit negligible in vivo toxicity high biocompatibility. The intense NIR‐II emissions QDs confer upon yield (6%). cervical their deep microvessels clearly observed imaging. Moreover, photothermal properties enable achieve conversion efficiency 36.56%, leading effective therapy mice.

Language: Английский

Citations

2

Predictive value and potential association of PET/CT radiomics on lymph node metastasis of cervical cancer DOI Open Access

Shimin Yang,

Wenrui Zhang, C. Liu

et al.

Annals of Medicine and Surgery, Journal Year: 2023, Volume and Issue: 86(2), P. 805 - 810

Published: Nov. 7, 2023

Due to the information-rich nature of positron emission tomography/computed tomography (PET/CT) images, authors hope explore radiomics features that could distinguish metastatic lymph nodes (LNs) from hypermetabolic benign LNs, in addition conventional indicators.

Language: Английский

Citations

4

Precision Imaging in Cervical Cancer: A Comprehensive Approach to Diagnosis and Pre-treatment Evaluation DOI Creative Commons
Ilaria Cuccu, Tullio Golia D’Augè,

Noemi Tonti

et al.

Clinical and Experimental Obstetrics & Gynecology, Journal Year: 2024, Volume and Issue: 51(6), P. 145 - 145

Published: June 19, 2024

Objectives: Until 2018, cervical cancer (CC) was clinically staged; however, it frequently under-staged. For this reason, in the International Federation of Gynecology and Obstetrics (FIGO) incorporated imaging assessment into staging malignancy. The aim review is to discuss available data regarding role diagnosis, pretreatment staging, how an adequate radiological evaluation could assist treatment planning for CC. Mechanism: An extensive literature search conducted identify relevant studies across various databases, including articles addressing topics related used selected underwent thorough examination that met objectives review, taking account specified inclusion exclusion criteria. Subsequently, were extracted analyzed each article. Findings Brief: Transvaginal ultrasound (TVS) transrectal (TRUS) have been shown be accurate diagnostic tools assessing local spread CC disease. Currently, magnetic resonance (MRI) appears offer highest sensitivity, specificity, accuracy detecting parametrial stromal invasion, as well tumor size. Computed tomography (CT) contrast-enhanced (CE)-CT are considered best modalities detection lymph node metastases. However, positron emission (PET) has demonstrated notable precision exhibited high negative predictive value predicting pelvic nodal status during early-stage diagnosis diagnosis. Radiomics represents a newly introduced field translational research with potential predict several pathological variables carcinoma patients. These include disease histological type, status, probability recurrence, estimated survival. Conclusions: Imaging plays indispensable monitoring evolution pathology response therapies over time. It provides physicians tool optimal regulation therapeutic strategy.

Language: Английский

Citations

1