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Special Issue "Updates on Imaging of Common Urogenital Neoplasms"

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Dr. Athina C Tsili
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Department of Clinical Radiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, University Campus, 451 10 Ioannina, Greece
Interests: urogenital neoplasms; diagnostic imaging

Special Issue Information

Dear Colleagues,

This Special Issue is on multimodal imaging of common urogenital neoplasms. Significant technological advances in imaging, including Ultrasonography (US), Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Nuclear Medicine have brought many diagnostic benefits in Genitourinary Oncology.

We are pleased to invite you to submit papers outlining updates on imaging common urogenital neoplasms.

Accurate imaging in patients with suspected genitourinary cancers may lead to early diagnosis of primary tumors, more accurate tumor staging and consequently, adequate and more tailored treatment planning, evaluation of treatment efficacy and detection of recurrence. This Special Issue aims to highlight the role of the most commonly used cross-sectional imaging techniques, including US, CT, MRI and fluorodeoxyglucose (FDG)-positron emission tomography (PET)-CT in the work-up of common urogenital malignancies.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: prostate carcinomas, urinary bladder carcinomas, renal cell carcinomas, testicular neoplasms, ovarian neoplasm, uterine neoplasms and uterine cervix carcinomas.

I look forward to receiving your contributions.

Dr. Athina C Tsili
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. Cancers 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

urogenital neoplasms
renal cell carcinoma
prostatic neoplasms
urinary bladder neoplasms
testicular neoplasms
uterine neoplasms
ovarian neoplasms
ultrasonography
computed tomography
magnetic resonance imaging

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Research

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Open AccessArticle

Standardization of Body Composition Status in Patients with Advanced Urothelial Tumors: The Role of a CT-Based AI-Powered Software for the Assessment of Sarcopenia and Patient Outcome Correlation

Antonella Borrelli

Martina Pecoraro

Francesco Del Giudice

and

Cancers 2023, 15(11), 2968; https://doi.org/10.3390/cancers15112968 - 29 May 2023

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Abstract

Background: Sarcopenia is a well know prognostic factor in oncology, influencing patients’ quality of life and survival. We aimed to investigate the role of sarcopenia, assessed by a Computed Tomography (CT)-based artificial intelligence (AI)-powered-software, as a predictor of objective clinical benefit in advanced urothelial tumors and its correlations with oncological outcomes. Methods: We retrospectively searched patients with advanced urothelial tumors, treated with systemic platinum-based chemotherapy and an available total body CT, performed before and after therapy. An AI-powered software was applied to CT to obtain the Skeletal Muscle Index (SMI-L3), derived from the area of the psoas, long spine, and abdominal muscles, at the level of L3 on CT axial images. Logistic and Cox-regression modeling was implemented to explore the association of sarcopenic status and anthropometric features to the clinical benefit rate and survival endpoints. Results: 97 patients were included, 66 with bladder cancer and 31 with upper-tract urothelial carcinoma. Clinical benefit outcomes showed a linear positive association with all the observed body composition variables variations. The chances of not experiencing disease progression were positively associated with ∆_SMI-L3, ∆_psoas, and ∆_long spine muscle when they ranged from ~10–20% up to ~45–55%. Greater survival chances were matched by patients achieving a wider ∆_SMI-L3, ∆_abdominal and ∆_long spine muscle. Conclusions: A CT-based AI-powered software body composition and sarcopenia analysis provide prognostic assessments for objective clinical benefits and oncological outcomes. Full article

(This article belongs to the Special Issue Updates on Imaging of Common Urogenital Neoplasms)

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Manifestations of Ovarian Cancer in Relation to Other Pelvic Diseases by MRI

Charis Bourgioti

Marianna Konidari

and

Lia Angela Moulopoulos

Cancers 2023, 15(7), 2106; https://doi.org/10.3390/cancers15072106 - 31 Mar 2023

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Abstract

Imaging plays a pivotal role in the diagnostic approach of women with suspected ovarian cancer. MRI is widely used for preoperative characterization and risk stratification of adnexal masses. While epithelial ovarian cancer (EOC) has typical findings on MRI; there are several benign and malignant pelvic conditions that may mimic its appearance on imaging. Knowledge of the origin and imaging characteristics of a pelvic mass will help radiologists diagnose ovarian cancer promptly and accurately. Finally, in special subgroups, including adolescents and gravid population, the prevalence of various ovarian tumors differs from that of the general population and there are conditions which uniquely manifest during these periods of life. Full article

(This article belongs to the Special Issue Updates on Imaging of Common Urogenital Neoplasms)

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Special Issue "Updates on Imaging of Common Urogenital Neoplasms"

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