Rapid T2-weighted MR imaging of uterine leiomyoma and adenomyosis

other OA: closed public-domain-us
Full text JSON View on PubMed View at publisher
AI-generated summary by claude@2026-06, 2026-06-10

Three rapid T2-weighted MR sequences (HASTE, TGSE, and turbo SE) provided diagnostic information equivalent to standard high-resolution turbo SE imaging for uterine leiomyoma and adenomyosis.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-06, 2026-06-10 · read from full text

This study compared three rapid T2-weighted MR imaging pulse sequences (HASTE, turboGRASE, and rapid turbo SE) against high-resolution turbo spin-echo MR imaging in 18 patients referred for suspected uterine leiomyoma or adenomyosis. Using non-breath-hold, fat-saturated sagittal pelvic imaging on a 1.5 T system, acquisition times ranged from 17 seconds (HASTE) to 42 seconds (turbo SE), and images were evaluated in a blinded fashion for image quality and for detection/localization of leiomyoma and diagnosis of adenomyosis. The authors found no significant differences among the rapid sequences in diagnostic information, image quality, or performance for leiomyoma or adenomyosis, with HASTE showing the least ghosting. This paper is centrally about adenomyosis—rapid T2-weighted MR imaging methods for diagnosing adenomyosis alongside leiomyoma.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

BACKGROUND: To compare three rapid T2-weighted pulse sequences with high-resolution turbo spin-echo (SE) magnetic resonance (MR) imaging for the diagnosis of leiomyoma and adenomyosis. METHODS: Eighteen patients referred for evaluation of suspected leiomyoma or adenomyosis underwent imaging at 1.5 T with a phased-array multicoil. Non-breath-hold, fat-saturated sagittal images of 4-7 mm, with equivalent voxel size, were obtained through the pelvis with the following three rapid pulse sequences: segmented, half-Fourier single shot turbo SE (HASTE), turboGRASE (TGSE) and turbo SE MR images. Mean acquisition times were 17 s (HASTE), 37 s (TGSE), and 42 s (turbo SE). These images were compared, in a blinded fashion, to high resolution turbo SE MR images, which are considered the "standard" for pelvic MRI. RESULTS: The three rapid pulse sequences, HASTE, TGSE and turbo SE, provided equivalent diagnostic information when compared with high-resolution turbo SE MR images. There was no significant difference in image quality, detection and localization of leiomyoma or in diagnosis of adenomyosis among the three rapid sequences. HASTE imaging demonstrated the least ghosting. CONCLUSION: Diagnostic T2-weighted images of benign uterine pathology may be obtained in as little as 17 s.
Full text 1,780 characters · extracted from oa-doi-fallback · 4 sections · click to expand

Background

To compare three rapid T2-weighted pulse sequences with high-resolution turbo spin-echo (SE) magnetic resonance (MR) imaging for the diagnosis of leiomyoma and adenomyosis.

Methods

Eighteen patients referred for evaluation of suspected leiomyoma or adenomyosis underwent imaging at 1.5 T with a phased-array multicoil. Non-breath-hold, fat-saturated sagittal images of 4–7 mm, with equivalent voxel size, were obtained through the pelvis with the following three rapid pulse sequences: segmented, half-Fourier single shot turbo SE (HASTE), turboGRASE (TGSE) and turbo SE MR images. Mean acquisition times were 17 s (HASTE), 37 s (TGSE), and 42 s (turbo SE). These images were compared, in a blinded fashion, to high resolution turbo SE MR images, which are considered the ``standard'' for pelvic MRI.

Results

The three rapid pulse sequences, HASTE, TGSE and turbo SE, provided equivalent diagnostic information when compared with high-resolution turbo SE MR images. There was no significant difference in image quality, detection and localization of leiomyoma or in diagnosis of adenomyosis among the three rapid sequences. HASTE imaging demonstrated the least ghosting.

Conclusion

Diagnostic T2-weighted images of benign uterine pathology may be obtained in as little as 17 s. Similar content being viewed by others Author information Authors and Affiliations Additional information Received: 10 April 1996/Accepted after revision: 30 April 1996 Rights and permissions About this article Cite this article Krinsky, G., DeCorato, D., Rofsky, N. et al. Rapid T2-weighted MR imaging of uterine leiomyomaand adenomyosis. Abdom Imaging 22, 531–534 (1997). https://doi.org/10.1007/s002619900256 Published: Issue date: DOI: https://doi.org/10.1007/s002619900256

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosisadenomyosis

MeSH descriptors

Endometriosis Leiomyoma Magnetic Resonance Imaging Uterine Diseases Uterine Neoplasms Adult Endometriosis Female Humans Image Processing, Computer-Assisted Image Processing, Computer-Assisted Leiomyoma Magnetic Resonance Imaging Middle Aged Uterine Diseases Uterine Neoplasms Uterus Uterus

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-07-30T06:25:42.655704+00:00
pubmed
last seen: 2026-05-13T22:10:46.468712+00:00
unpaywall
last seen: 2026-05-14T19:30:52.867331+00:00
License: public-domain-us · commercial use OK · attribution required
Courtesy of the U.S. National Library of Medicine