Evidence map›Paper›PMID 39184252›Full record

ArticleGynecology and minimally invasive therapy

Integrating High-intensity Focused Ultrasound with Chemotherapy for the Treatment of Invasive Hydatidiform Mole in Reproductive-age Women.

Yongmiao Pan, Kaiqing Lin, Ying Hu, Xiaohong Song, Linjun Xu, Zhenfeng Zhou, Di Xie, Yuan Xue

Abstract readCase Reports
In one paragraph

Article in Gynecology and minimally invasive therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yongmiao PanDepartment of Obstetrics and Gynecology, Hangzhou Women's Hospital, Hangzhou, China.
Kaiqing LinDepartment of Obstetrics and Gynecology, Hangzhou Red Cross Hospital, Hangzhou, China.
Ying HuDepartment of Surgery, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
Xiaohong SongDepartment of Obstetrics and Gynecology, Hangzhou Women's Hospital, Hangzhou, China.
Linjun XuDepartment of Surgery, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
Zhenfeng ZhouDepartment of Anesthesiology, Hangzhou Women's Hospital, Hangzhou, China.
Di XieDepartment of Gynecological, Chengdu Focused Ultrasound Hospital, Chengdu, China.
Yuan XueDepartment of Gynecological, Chengdu Focused Ultrasound Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive hydatidiform mole, a form of gestational trophoblastic neoplasm in reproductive-age women, poses a significant threat to life due to its associated signs and symptoms. This case report details the management of a 24-year-old Chinese woman with no prior pregnancy history, who presented at our hospital 23 days postcurettage, experiencing persistent vaginal bleeding for 3 days. While two rounds of chemotherapy effectively reduced human chorionic gonadotropin levels, a subsequent magnetic resonance imaging (MRI) revealed suspicious growth lesions in the uterus. High-intensity focused ultrasound (HIFU) treatment was administered under ultrasound guidance, resulting in notable grayscale changes to optimize the efficacy of chemotherapy and restrict lesion progression. Subsequent ultrasound and MRI assessments during follow-up demonstrated a transparent texture in the muscle layer at the lesion site. This case suggests that the combination of chemotherapy and HIFU, guided by ultrasound, may represent a promising therapeutic approach for managing invasive hydatidiform mole.

Indexed as

Chemotherapyhigh-intensity focused ultrasound ablationinvasive hydatidiform mole

Identifiers

PMID39184252
PMCPMC11343360

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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.