ReviewCancers2022
Preoperative Differentiation of Uterine Leiomyomas and Leiomyosarcomas: Current Possibilities and Future Directions.
Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Exploratory Preoperative Risk Stratification of Uterine Mesenchymal Tumors in Postmenopausal Women with Complementary Transcriptomic Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- Vesicovaginal Leiomyoma at 20 Years of Age-A Rare Clinical Entity: Case Report and Literature Review.Diagnostics (Basel, Switzerland) · 2025Article
- Clinico-radio-histopathological Correlation of Leiomyoma Variant, STUMP, and Sarcoma: A Retrospective Study.Oman medical journal · 2025Article
- Computed tomography and magnetic resonance imaging features of abdominal and pelvic leiomyomatosis peritonealis disseminata: A retrospective observational study.Journal of clinical imaging science · 2025Article
- Preoperative identification from occult leiomyosarcomas in laparoscopic hysterectomy and laparoscopic myomectomy: accuracy of the ultrasound scoring system (PRESS-US).La Radiologia medica · 2024Article
- Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Article
- Current landscape of primary small bowel leiomyosarcoma: cases report and a decade of insights.Frontiers in oncology · 2024Article
- Article
- Pelvic leiomyoma associated with intermediate risk prostate cancer: A case report.Urology case reports · 2023Article
- Not All Leiomyosarcomas Are the Same: How to Best Classify LMS.Current treatment options in oncology · 2023Review
- Overlap of Suspicious and Non-Suspicious Features in the Ultrasound Evaluations of Leiomyosarcoma: A Single-Center Experience.Diagnostics (Basel, Switzerland) · 2023Article
- How Frequently Benign Uterine Myomas Appear Suspicious for Sarcoma as Assessed by Transvaginal Ultrasound?Diagnostics (Basel, Switzerland) · 2023Article
- Subtotal hysterectomy reviewed: a stable or aperture for stump cervical malignancy. A referral hospital experience.Przeglad menopauzalny = Menopause review · 2022Article
- Fibroid Removal after Myomectomy: An Overview on the Problems of Power Morcellation.Healthcare (Basel, Switzerland) · 2022Review
- Deep Venous Thrombosis as the Sentinel Event Unmasking a Uterine Leiomyosarcoma in a Postmenopausal Woman: A Case Report and Review of the Literature.Case reports in oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The distinguishing of uterine leiomyosarcomas (ULMS) and uterine leiomyomas (ULM) before the operation and histopathological evaluation of tissue is one of the current challenges for clinicians and researchers. Recently, a few new and innovative methods have been developed. However, researchers are trying to create different scales analyzing available parameters and to combine them with imaging methods with the aim of ULMs and ULM preoperative differentiation ULMs and ULM. Moreover, it has been observed that the technology, meaning machine learning models and artificial intelligence (AI), is entering the world of medicine, including gynecology. Therefore, we can predict the diagnosis not only through symptoms, laboratory tests or imaging methods, but also, we can base it on AI. What is the best option to differentiate ULM and ULMS preoperatively? In our review, we focus on the possible methods to diagnose uterine lesions effectively, including clinical signs and symptoms, laboratory tests, imaging methods, molecular aspects, available scales, and AI. In addition, considering costs and availability, we list the most promising methods to be implemented and investigated on a larger scale.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.