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Diagnostics
Special Issues
Diagnosis and Management of Uterine Tumor
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Diagnosis and Management of Uterine Tumor

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 1827

Special Issue Editor

Dr. Nicolò Bizzarri

E-Mail Website
Guest Editor
Gynecologic Oncology Unit, Catholic University of the Sacred Heart, Policlinico Agostino Gemelli IRCCS, Rome, Italy
Interests: cervical cancer; ovarian cancer; endometrial cancer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Diagnosis and treatment of uterine cancer is an ever-evolving topic, which follows technological and scientific developments. The introduction of new diagnostic methods and the advances of current imaging and pathology tools allow a precise characterization of tumours before starting the treatment. The advent of new surgical platforms, the sentinel lymph node, and the molecular classification of the uterine cancers, makes the treatment more and more individualized. Recent scientific updates, including the risk of adverse oncologic outcomes in cervical cancer treated with minimally invasive surgery, represented a push to find alternative solutions of surgical treatment for early-stage cervical cancer. Lastly, different detection modality and analysis of sentinel lymph node can be applied for further implementing the treatment strategies and defining the prognosis in patients with uterine cancers.

Dr. Nicolò Bizzarri
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cervical cancer
  • endometrial cancer
  • uterine sarcoma
  • uterine cancer

Published Papers (1 paper)

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Research

15 pages, 2111 KiB  
Article
Incorporation of Tumor-Free Distance and Other Alternative Ultrasound Biomarkers into a Myometrial Invasion-Based Model Better Predicts Lymph Node Metastasis in Endometrial Cancer: Evidence and Future Prospects
by Marcin Liro, Marcin Śniadecki, Ewa Wycinka, Szymon Wojtylak, Michał Brzeziński, Joanna Jastrzębska and Dariusz Wydra
Diagnostics 2022, 12(11), 2604; https://doi.org/10.3390/diagnostics12112604 - 27 Oct 2022
Cited by 3 | Viewed by 1476
Abstract
Myometrial invasion (MI) is a parameter currently used in transvaginal ultrasound (TVS) in endometrial cancer (EC) to determine local staging; however, without molecular diagnostics, it is insufficient for the selection of high-risk cases, i.e., those with a high risk of lymph node metastases [...] Read more.
Myometrial invasion (MI) is a parameter currently used in transvaginal ultrasound (TVS) in endometrial cancer (EC) to determine local staging; however, without molecular diagnostics, it is insufficient for the selection of high-risk cases, i.e., those with a high risk of lymph node metastases (LNM). The study’s objective was to answer the question of which TVS markers, or their combination, reflecting the molecular changes in EC, can improve the prediction of LNM. Methods: The TVS examination was performed on 116 consecutive EC patients included in this prospective study. The results from the final histopathology were a reference standard. Univariate and multivariate logistic models of analyzed TVS biomarkers (tumor [T] size, T area [AREA], T volume [SPE-VOL], MI, T-free distance to serosa [TFD], endo-myometrial irregularity, [EMIR], cervical stromal involvement, CSI) were evaluated to assess the relative accuracy of the possible LNM predictors., Spline functions were applied to avoid a potential bias in assuming linear relations between LNM and continuous predictors. Calculations were made in R using libraries splines, glmulti, and pROC. Results: LNM was found in 20 out of the 116 (17%) patients. In univariate analysis, only uMI, EMIR, uCSI and uTFD were significant predictors of LNM. The accuracy was 0.707 (AUC 0.684, 95% CI 0.568–0.801) for uMI (p < 0.01), 0.672 (AUC 0.664, 95% CI 0.547–0.781) for EMIR (p < 0.01), 0.776 (AUC 0.647, 95% CI 0.529–0.765) for uCSI (p < 0.01), and 0.638 (AUC 0.683, 95% CI 0.563–0.803) for uTFD (p < 0.05). The cut-off value for uTFD was 5.2 mm. However, AREA and VOL revealed a significant relationship by nonlinear analysis as well. Among all possible multivariate models, the one comprising interactions of splines of uTFD with uMI and splines of SPE-VOL with uCSI showed the most usefulness. Accuracy was 0.802 (AUC 0.791, 95% CI 0.673–0.91) Conclusions: A combination of uTFD for patients with uMI > 50%, and SPE-VOL for patients with uCSI, allows for the most accurate prediction of LNM in EC, rather than uMI alone. Full article
(This article belongs to the Special Issue Diagnosis and Management of Uterine Tumor)
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