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Gynecologic Cancer: From Diagnosis to Treatment: 2nd Edition
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Gynecologic Cancer: From Diagnosis to Treatment: 2nd Edition

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".

Deadline for manuscript submissions: 30 October 2026 | Viewed by 1765

Special Issue Editor

Dr. Vito Andrea Capozzi

E-Mail Website
Guest Editor
Department of Medicine and Surgery, University Hospital of Parma, 43125 Parma, Italy
Interests: laparoscopy; gynecology; oncology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is the second edition of a previous one on the topic of “Gynecologic Cancer: From Diagnosis to Treatment” (https://www.mdpi.com/journal/cancers/special_issues/2027M88670).

In recent years, enormous progress has been made in the diagnosis and treatment of gynecological diseases. Transvaginal ultrasound has now attained diagnostic sensitivities that are superimposable, if not superior, to ‘traditional’ instrumental investigations. Furthermore, surgical and medical treatment of gynecological pathologies has evolved toward increasingly personalized medicine. The advancement of knowledge has led to the molecular characterization of gynecologic pathologies for better understanding the pathology itself, allowing targeted and personalized therapies. Finally, new research has led to increasingly less invasive surgery in both oncology and benign pathology.

Despite this impressive medical advancement, many questions still remain unresolved. The weight of molecular characterization versus pathological prognostic criteria in endometrial cancer, the role of minimally invasive surgery in cervical cancer, and the role of new maintenance therapies in ovarian cancer recurrence deserve to be better understood.

The purpose of this Special Issue is to provide new insights into the future frontiers of scientific research in gynecology from diagnosis to treatment.

Dr. Vito Andrea Capozzi
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 communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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 2900 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

  • endometrial cancer
  • cervical cancer
  • ovarian cancer
  • borderline ovarian tumor
  • diagnosis and treatment

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Published Papers (2 papers)

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Research

11 pages, 1294 KB  
Article
Robotic Surgical Outcomes in Endometrial Cancer: Does Class III Obesity Matter?
by Vito Andrea Capozzi, Asya Gallinelli, Elisa Scarpelli, Stefano Restaino, Giuseppe Vizzielli and Roberto Berretta
Cancers 2026, 18(4), 706; https://doi.org/10.3390/cancers18040706 - 22 Feb 2026
Viewed by 595
Abstract
Background/Objective: Women with Class III obesity (BMI ≥ 40 kg/m2) have a lifetime risk of endometrial cancer (EC) as high as 10–15%. However, evidence focused specifically on Class III obese patients remains limited. This study evaluated the surgical feasibility and safety [...] Read more.
Background/Objective: Women with Class III obesity (BMI ≥ 40 kg/m2) have a lifetime risk of endometrial cancer (EC) as high as 10–15%. However, evidence focused specifically on Class III obese patients remains limited. This study evaluated the surgical feasibility and safety of robotic surgery in Class III obese women with EC. Methods: A single-center retrospective study was conducted at the ESGO-accredited University Hospital of Parma (Italy) from October 2021 to February 2025. All women had apparent early-stage EC and underwent robotic hysterectomy with bilateral salpingo-oophorectomy and sentinel lymph node (SLN) mapping with Indocyanine Green. Patients were categorized into three BMI groups: Group A (BMI ≥ 40 kg/m2), Group B (BMI 30–39 kg/m2), and Group C (BMI < 30 kg/m2). Perioperative variables—including operative time, estimated blood loss, conversion to laparotomy, intra- and postoperative complications, hospital and Intensive Care Unit (ICU) stay, and SLN mapping failure—were compared across groups. Results: A total of 109 women were included: 26 (23.9%) in Group A, 45 (41.3%) in Group B, and 38 (34.9%) in Group C. Class III obesity was not associated with higher intraoperative (p = 0.390) or postoperative (p = 0.805) complication rates. Conversion to laparotomy (p = 0.720), estimated blood loss (p = 0.123), ICU stay (p = 0.156), and hospital stay (p = 0.491) were superimposable across groups. Operative time was significantly longer in Group A (p = 0.003) compared to the other groups. Successful bilateral SLN mapping differed significantly across groups (p = 0.026), being lower in Group A (73.1%) compared to Group B (95.6%) and Group C (81.6%). Conclusions: Robotic surgery is safe and feasible in Class III obese EC patients, with perioperative morbidity comparable to that of lower BMI groups. Nevertheless, longer operative times and a lower rate of successful bilateral SLN mapping highlight the need for tailored strategies and further research to optimize nodal staging in severely obese women. Full article
(This article belongs to the Special Issue Gynecologic Cancer: From Diagnosis to Treatment: 2nd Edition)
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15 pages, 1055 KB  
Article
Intraoperative Ex Vivo Shear-Wave Elastography of Sentinel Lymph Nodes in Endometrial Cancer and Other Gynaecological Malignancies
by Walid Shaalan, Mohamed Eldesouky, Theresa Mokry, Arved Bischoff, Peter Sinn, Nourhan Hassan, Riku Togawa, Dina Batarseh, Kathrin Haßdenteufel, Lara Meike Tretschock, Maryna Hlamazda, Christina Schmidt, Cecilie Torkildsen, Axel Gerhardt, Andre Hennigs, Lisa Katharina Nees, Oliver Zivanovic and Fabian Riedel
Cancers 2026, 18(2), 183; https://doi.org/10.3390/cancers18020183 - 6 Jan 2026
Viewed by 815
Abstract
Background: Accurate intraoperative assessment of sentinel lymph node (SLN) status is critical for staging and guiding surgical management in gynaecological malignancies. Frozen-section histopathology remains the gold standard, but it is time-consuming and resource-intensive. Shear-wave elastography (SWE) quantifies tissue stiffness in real time and [...] Read more.
Background: Accurate intraoperative assessment of sentinel lymph node (SLN) status is critical for staging and guiding surgical management in gynaecological malignancies. Frozen-section histopathology remains the gold standard, but it is time-consuming and resource-intensive. Shear-wave elastography (SWE) quantifies tissue stiffness in real time and may offer a rapid alternative. Methods: In this prospective single-centre study, 63 women (median age 62 years) undergoing primary surgery with sentinel lymph node biopsy (SLNB) for endometrial, cervical, vulvar, or early ovarian carcinoma were enrolled. A total of 172 SLNs were excised, submerged in coupling gel, and scanned ex vivo using a 9 MHz linear probe. Results: A total of 172 SLNs underwent SWE (mean 2.7 nodes/patient). Endometrial primaries accounted for 58% of nodes, mostly retrieved by robotic-assisted surgery (71.8%). Node dimensions were significantly larger in malignant lesions for sonographic (long-axis: 13.02 ± 3.31 mm vs. 10.80 ± 3.28 mm; p = 0.002) and pathological long-axis measurements (11.45 ± 2.83 mm vs. 9.75 ± 2.61 mm; p = 0.004). Mean SWE velocities were similar between groups (1.381 ± 0.307 vs. 1.343 ± 0.236 m/s; p = 0.541). Histopathology identified metastases in 18% of SLNs, comprising macrometastases (7%), micrometastases (5%), and isolated tumour cells (6%). Conclusions: Although ex vivo SWE is rapid, reproducible, and integrates seamlessly into the sterile field, stiffness measurements alone lack sufficient discriminatory power for SLN staging in gynaecological cancers. Future research should focus on three-dimensional SWE, advanced radiomic analyses, and machine-learning algorithms to improve the detection of low-volume metastatic disease. Full article
(This article belongs to the Special Issue Gynecologic Cancer: From Diagnosis to Treatment: 2nd Edition)
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