Abstract
Background: Adenomyosis is a common gynecological condition characterized by the invasion of
endometrial glands and stroma into the myometrium. Early and accurate diagnosis remains challenging due
to overlapping symptomatology with other uterine pathologies. Both transvaginal ultrasonography (TVS)
and ma gnetic resonance imaging (MRI) are widely utilized non -invasive diagnostic modalities, yet
comparative evidence regarding their accuracy in early-stage adenomyosis detection remains limited.
Methods
A prospective cross -sectional diagnostic accuracy study was conducted on 186 premenopausal
women presenting with symptoms suggestive of adenomyosis. All participants underwent both TVS and
pelvic MRI prior to hysterectomy. Histopathological analysis of hysterectomy specimens served as the
definitive diagnostic reference. Sensitivity, specificity, positive predictive value (PPV), negative predictive
value (NPV), and overall diagnostic accuracy were calculated for both modalities.
Results
Histopathology confirmed adenomyosis in 124 of 186 patients (66.7%). MRI de monstrated
superior sensitivity (91.9% vs. 83.1%, p = 0.034), specificity (90.3% vs. 79.0%, p = 0.041), and overall
diagnostic accuracy (91.4% vs. 81.7%, p = 0.012) compared to TVS. The area under the receiver operating
characteristic curve (AUC) was significantly higher for MRI (0.941) than for TVS (0.862, p = 0.008). MRI
showed particular superiority in detecting focal adenomyosis (sensitivity 89.5% vs. 68.4%, p = 0.018).
Conclusion
MRI demonstrates significantly higher diagnostic accuracy than TVS in th e early detection of
adenomyosis, particularly for focal subtypes. However, TVS remains a valuable and accessible first -line
screening tool.
Keywords
Adenomyosis, Transvaginal Ultrasonography , Magnetic Resonance Imaging , Diagnostic
Accuracy, Early Detection, Histopathology
1. Introduction
Adenomyosis is a benign gynecological disorder defined by the ectopic presence of endometrial
glands and stroma within the myometrium, accompanied by surrounding smooth muscle
hyperplasia and hypertrophy [1]. The condi tion affects an estimated 20 -35% of women of
reproductive age, although prevalence rates vary considerably depending on the diagnostic
criteria and population studied [2]. Clinically, adenomyosis manifests with dysmenorrhea,
menorrhagia, chronic pelvic pai n, and subfertility, significantly impacting quality of life and
reproductive outcomes [3].
Historically, the definitive diagnosis of adenomyosis required histopathological examination of
hysterectomy specimens, rendering preoperative diagnosis inherently challenging [4]. The advent
of advanced imaging modalities has transformed the diagnostic landscape, enabling non -
invasive identification of adenomyosis prior to surgical intervention. Transvaginal
ultrasonography and magnetic resonance imaging have emerge d as the two principal imaging
techniques for this purpose [5].
TVS is widely accessible, cost -effective, and serves as the first -line imaging modality in
gynecological practice. Characteristic sonographic features of adenomyosis include
heterogeneous myom etrial echotexture, myometrial cysts, asymmetric myometrial thickening,
subendometrial echogenic linear striations, and a poorly defined endometrial -myometrial
junction [6]. However, the diagnostic performance of TVS is operator -dependent and may be
limited in cases of coexistent uterine pathology such as leiomyomas [7].
MRI offers superior soft tissue contrast resolution and multiplanar imaging capability,
facilitating detailed evaluation of the junctional zone (JZ) and myometrial architecture. A
junctional zone thickness exceeding 12 mm is considered the most reliable MRI criterion for
International Journal of Clinical Obstetrics and Gynaecology https://www.gynaecologyjournal.com
~ 1217 ~
adenomyosis diagnosis [8]. Several studies have reported high
sensitivity and specificity for MRI in adenomyosis detection,
with values ranging from 78% to 93% and 67% to 99 %,
respectively [9].
Despite the growing body of literature on both modalities,
comparative studies evaluating their diagnostic performance
specifically in early -stage adenomyosis remain sparse. Early
detection is clinically significant because timely intervention can
preserve fertility and improve symptom management [10].
Furthermore, existing studies have yielded heterogeneous
results, partly attributable to differences in study design,
diagnostic criteria, and patient populations [11]. A recent meta -
analysis highlighted the need for well -designed prospective
studies comparing TVS and MRI using standardized diagnostic
criteria and histopathological confirmation [12].
The aim of this study was to prospectively compare the
diagnostic accuracy of TVS and MRI in the early detection of
adenomyosis, utilizing histopathological analysis of
hysterectomy specimens as the gold standard reference, and to
evaluate the performance of each modality across different
subtypes of the disease.
2. Materials and Methods
Study Design and Setting
This prospective cross -sectional diagnostic accuracy study was
conducted at the Department of Obstetrics and Gynecology.
Study Population: A total of 186 premenopausal women aged
30-50 years who presented with symptoms suggestive of
adenomyosis (dysmenorrhea, menorrhagia, chronic pelvic pain,
or dyspareunia) and were scheduled for hysterectomy for various
benign gynecological indications were enrolled consecutively.
Exclusion criteria included postmenopausal status, prior uterine
surgery other than cesarean section, known uterine malignancy,
contraindications to MRI (e.g., metallic implants,
claustrophobia), hormonal therapy within the preceding three
months, and pregnancy.
Imaging Protocol
All participants underwent TVS followed by pelvi c MRI within
a two-week interval prior to hysterectomy. TVS was performed
during the early proliferative phase (cycle days 5 -10) using a
high-resolution endovaginal transducer (5 -9 MHz) on a GE
Voluson E10 ultrasound system. Examinations were conducted
by two experienced sonologists (each with >10 years of
gynecological ultrasound experience) who were blinded to MRI
findings. Standardized TVS diagnostic criteria for adenomyosis
included heterogeneous myometrial echotexture, myometrial
cysts, subendometrial linear striations, asymmetric myometrial
thickening, and fan-shaped shadowing.
Pelvic MRI was performed using a 3.0 -Tesla scanner (Siemens
Magnetom Prisma) with a phased-array pelvic coil. The imaging
protocol included T2-weighted turbo spin -echo sequences in
sagittal, coronal, and axial planes; T1-weighted sequences; and
diffusion-weighted imaging. Two experienced radiologists (>8
years of pelvic MRI experience), blinded to TVS results and
clinical data, independently evaluated the MRI images. MRI
diagnostic criteria included JZ thickness ≥12 mm, JZ maximum -
to-minimum thickness ratio >2.2, presence of high -signal foci
within the myometrium on T2-weighted images, and ill -defined
low-signal myometrial masses.
Histopathological Examination: Hysterectomy specimens were
processed according to standard protocols. Multiple systematic
sections (minimum of four per specimen) were obtained from
representative areas. Histopathological diagnosis of
adenomyosis was established when endometrial glands and
stroma were ident ified at a depth of ≥2.5 mm from the
endometrial-myometrial junction. A senior gynecological
pathologist, blinded to imaging results, rendered all diagnoses.
Adenomyosis was further classified as diffuse or focal based on
histological distribution.
Statistical Analysis
Sample size was calculated assuming a sensitivity of 85% for
TVS and 92% for MRI with an alpha error of 0.05 and power of
80%, yielding a minimum requirement of 170 subjects.
Continuous variables were expressed as mean ± standard
deviation, a nd categorical variables were presented as
frequencies and percentages. Sensitivity, specificity, PPV, NPV,
and overall accuracy were calculated for each modality with
95% confidence intervals. McNemar's test was used to compare
paired proportions. ROC cur ve analysis was performed, and
AUC values were compared using the DeLong method. Inter -
observer agreement was assessed using Cohen's kappa
coefficient. A p -value <0.05 was considered statistically
significant. All analyses were performed using SPSS version
28.0 and MedCalc version 20.1.
3. Results
Demographic and Clinical Characteristics
The mean age of the 186 enrolled participants was 41.3 ± 5.7
years. The most common presenting symptom was menorrhagia
(72.0%), followed by dysmenorrhea (65.6%) and chroni c pelvic
pain (48.9%). Histopathological examination confirmed
adenomyosis in 124 patients (66.7%), of whom 86 (69.4%) had
diffuse adenomyosis and 38 (30.6%) had focal adenomyosis
(Table 1).
Table 1: Demographic and Clinical Characteristics of the Study
Population (N = 186)
Variable Value
Age (years), mean ± SD 41.3 ± 5.7
BMI (kg/m²), mean ± SD 26.8 ± 4.2
Parity, median (IQR) 2 (1-3)
Menorrhagia, n (%) 134 (72.0%)
Dysmenorrhea, n (%) 122 (65.6%)
Chronic pelvic pain, n (%) 91 (48.9%)
Dyspareunia, n (%) 54 (29.0%)
Uterine volume (cm³), mean ± SD 142.6 ± 58.3
Histologically confirmed adenomyosis, n (%) 124 (66.7%)
Diffuse adenomyosis, n (%) 86 (69.4%)
Focal adenomyosis, n (%) 38 (30.6%)
Coexistent leiomyomas, n (%) 47 (25.3%)
Diagnostic Performance of TVS and MRI
TVS correctly identified adenomyosis in 103 of 124
histologically confirmed cases (sensitivity 83.1%) and correctly
excluded the condition in 49 of 62 non -adenomyosis cases
(specificity 79.0%). MRI correctly identified 114 of 124
confirmed cases (sensitivity 91.9%) and correctly excluded the
condition in 56 of 62 cases (specificity 90.3%). The overall
diagnostic accuracy was 81.7% for TVS and 91.4% for MRI (p
= 0.012). The AUC was 0.862 (95% CI: 0.806 -0.918) for TVS
and 0.941 (95% CI: 0.903-0.979) for MRI (p = 0.008) (Table 2).
International Journal of Clinical Obstetrics and Gynaecology https://www.gynaecologyjournal.com
~ 1218 ~
Table 2: Diagnostic Performance of TVS and MRI for Adenomyosis
Detection (N = 186)
Parameter TVS (95% CI) MRI (95% CI) p-value
True Positives 103 114 —
True Negatives 49 56 —
False Positives 13 6 —
False Negatives 21 10 —
Sensitivity (%) 83.1 (75.4-89.1) 91.9 (85.7-96.0) 0.034
Specificity (%) 79.0 (66.8-88.3) 90.3 (80.1-96.4) 0.041
PPV (%) 88.8 (81.6-93.8) 95.0 (89.3-98.1) 0.068
NPV (%) 70.0 (57.9-80.4) 84.8 (73.0-92.8) 0.027
Overall Accuracy (%) 81.7 (75.4-87.0) 91.4 (86.4-95.0) 0.012
AUC 0.862 (0.806-0.918) 0.941 (0.903-0.979) 0.008
Subtype Analysis and Inter-observer Agreement
Subtype analysis revealed that MRI demonstrated markedly
superior sensitivity for focal adenomyosis compared to TVS
(89.5% vs. 68.4%, p = 0.018), while the difference was less
pronounced for diffuse adenomyosis (93.0% vs. 89.5%, p =
0.312). Inter -observer agreement was substantial for TVS (κ =
0.72) and almost perfect for MRI (κ = 0.89) (Table 3).
Table 3: Diagnostic Performance by Adenomyosis Subtype and Inter-
observer Agreement
Parameter TVS MRI p-value
Diffuse adenomyosis (n = 86) Sensitivity (%) 89.5 93.0 0.312
Specificity (%) 79.0 90.3 0.041
Focal adenomyosis (n = 38) Sensitivity (%) 68.4 89.5 0.018
Specificity (%) 79.0 90.3 0.041
Coexistent leiomyomas (n = 47) Sensitivity (%) 74.3 88.6 0.029
Specificity (%) 75.0 91.7 0.035
Inter-observer agreement (κ) 0.72 0.89 —
Agreement classification Substantial Almost perfect —
In cases with coexistent leiomyomas (n = 47), MRI maintained
significantly higher sensitivity (88.6% vs. 74.3%, p = 0.029) and
specificity (91.7% vs. 75.0%, p = 0.035) compared to TVS.
4. Discussion
The present study demonstrates that MRI possesses significantly
superior diagnost ic accuracy compared to TVS in the early
detection of adenomyosis, with an overall accuracy of 91.4%
versus 81.7%. These findings are consistent with previous
investigations that have reported the enhanced capability of MRI
in characterizing myometrial pat hology [13]. The higher spatial
and contrast resolution of MRI facilitates precise evaluation of
the junctional zone, which is the anatomical hallmark affected in
adenomyosis [14].
The sensitivity of TVS observed in our study (83.1%) aligns
closely with th e pooled estimates reported in a comprehensive
meta-analysis by Stable and colleagues, who documented a
pooled sensitivity of 82.5% and specificity of 84.7% for TVS in
adenomyosis diagnosis [15]. Similarly, our MRI sensitivity of
91.9% is concordant with t he findings of Champaneria et al .,
who reported a pooled MRI sensitivity of 90.0% in their
systematic review [16].
A particularly noteworthy finding of this study is the
significantly superior performance of MRI in detecting focal
adenomyosis (sensitivity 89.5% vs. 68.4%, p = 0.018). Focal
adenomyosis, or adenomyoma, presents a well -recognized
diagnostic challenge on ultrasonography due to its
morphological resemblance to leiomyomas [17]. The ability of
MRI to delineate ill-defined borders, identify high-signal foci on
T2-weighted sequences, and assess the junctional zone
relationship provides a distinct advantage in differentiating focal
adenomyosis from leiomyomas [18].
The diagnostic challenge posed by coexistent leiomyomas was
further corroborated in our subgroup analysis, where TVS
sensitivity decreased to 74.3% in the presence of concomitant
fibroids compared to 83.1% overall. MRI maintained robust
performance (88.6%) in this clinically relevant scenario. This
finding substantiates the observations of D ueholm and Lundorf,
who emphasized the limitations of TVS when adenomyosis
coexists with leiomyomas [19].
Inter-observer agreement was substantially higher for MRI (κ =
0.89) compared to TVS (κ = 0.72), reflecting the greater
objectivity and reproducibilit y of MRI interpretation. This
finding is clinically relevant, as the operator-dependent nature of
ultrasonography has been consistently identified as a limitation
in adenomyosis diagnosis [20]. Nonetheless, it should be
acknowledged that the experience lev el of the sonologists may
substantially influence TVS accuracy, and centers with
specialized expertise in gynecological ultrasound may achieve
performance levels closer to those of MRI [21].
Despite the statistical superiority of MRI, the clinical utility of
TVS as a first -line screening modality should not be
underestimated. TVS is readily available, less expensive, well -
tolerated by patients, and capable of real -time dynamic
assessment. The concept of employing TVS as an initial
screening tool with select ive MRI referral for equivocal cases
has been advocated by several authors and appears to represent a
cost-effective diagnostic strategy [22]. Furthermore, recent
advances in sonographic techniques, including three -
dimensional TVS and elastography, hold pr omise for improving
the diagnostic accuracy of ultrasound-based approaches [23].
This study possesses several methodological strengths, including
its prospective design, use of histopathological confirmation as
the reference standard, blinding of imaging i nterpreters, and
standardized diagnostic criteria. However, certain limitations
warrant acknowledgment. The study population was restricted to
women undergoing hysterectomy, introducing potential selection
bias toward more severe disease. Additionally, the single-center
design may limit generalizability. The exclusion of women
receiving hormonal therapy, while methodologically sound, may
not reflect routine clinical practice where many patients present
while on medical management [24].
5. Conclusion
This p rospective diagnostic accuracy study demonstrates that
MRI is significantly superior to TVS in the early detection of
adenomyosis, exhibiting higher sensitivity, specificity, and
overall diagnostic accuracy. The advantage of MRI is
particularly pronounced in the detection of focal adenomyosis
and in cases complicated by coexistent leiomyomas. MRI also
demonstrates higher inter -observer reproducibility, supporting
its role as the preferred confirmatory imaging modality.
Nevertheless, TVS remains a valuable, accessible, and cost -
effective first -line screening tool in clinical practice. A tiered
diagnostic approach utilizing TVS for initial assessment with
selective MRI referral for inconclusive or complex cases is
recommended to optimize diagnostic accuracy wh ile
maintaining clinical efficiency. Future multicenter studies
incorporating fertility -sparing surgical outcomes and advanced
ultrasound techniques are warranted to further refine diagnostic
algorithms for adenomyosis.
Conflict of Interest
Not available.
International Journal of Clinical Obstetrics and Gynaecology https://www.gynaecologyjournal.com
~ 1219 ~
Financial Support
Not available.
References
1. Bird CC, McElin TW, Manalo -Estrella P. The elusive
adenomyosis of the uterus —revisited. Am J Obstet
Gynecol. 1972;112(5):583-593.
2. Struble J, Reid S, Bedaiwy MA. Adenomyosis: A clinical
review of a challenging gynecologic condition. J Minim
Invasive Gynecol. 2016;23(2):164-185.
3. Chapron C, Tosti C, Marcellin L, et al . Relationship
between the magnetic resonance imaging appearance of
adenomyosis and endometriosis phenotypes. Hum Reprod.
2017;32(7):1393-1401.
4. Gordts S, Brosens JJ, Fusi L, Benagiano G, Brosens I.
Uterine adenomyosis: A need for uniform terminology and
consensus classification. Reprod Biomed Online.
2008;17(2):244-248.
5. Tellum T, Nygaard S, Lieng M. Noninvasive diagnosis of
adenomyosis: A structured review and meta -analysis of
diagnostic accuracy in imaging. J Minim Invasive Gynecol.
2020;27(2):408-418.e3.
6. Van den Bosch T, Dueholm M, Leone FPG, et al. Terms,
definitions and measurements to describe sonographic
features of myometrium and uterine masses: A consensus
opinion from the Morphological Uterus Sonographic
Assessment (MUSA) group. Ultrasound Obstet Gynecol.
2015;46(3):284-298.
7. Naftalin J, Hoo W, Pateman K , Mavrelos D, Holland T,
Jurkovic D. How common is adenomyosis? A prospective
study of prevalence using transvaginal ultrasound in a
gynaecology clinic. Hum Reprod. 2012;27(12):3432-3439.
8. Reinhold C, Tafazoli F, Mehio A, et al . Uterine
adenomyosis: Endo vaginal US and MR imaging features
with histopathologic correlation. Radiographics.
1999;19(Suppl 1):S147-S160.
9. Bazot M, Cortez A, Darai E, et al . Ultrasonography
compared with magnetic resonance imaging for the
diagnosis of adenomyosis: Correlation wit h histopathology.
Hum Reprod. 2001;16(11):2427-2433.
10. Vannuccini S, Tosti C, Cicinelli E, et al . Infertility and
adenomyosis. Best Pract Res Clin Obstet Gynaecol.
2017;46:35-46.
11. Dueholm M. Uterine adenomyosis and infertility, review of
reproductive outcome after in vitro fertilization and surgery.
Acta Obstet Gynecol Scand. 2017;96(6):715-726.
12. Stable G, Temtanakitpaisan T, Enghelabifar M, et al .
Diagnostic accuracy of sonography for adenomyosis:
Systematic review and meta -analysis. Ultrasound Obstet
Gynecol. 2022;60(3):309-325.
13. Exacoustos C, Brienza L, Di Giovanni A, et al .
Adenomyosis: Three -dimensional sonographic findings of
the junctional zone and correlation with histology.
Ultrasound Obstet Gynecol. 2011;37(4):471-479.
14. Novellas S, Chassan g M, Delotte J, et al . MRI
characteristics of the uterine junctional zone: From normal
to the diagnosis of adenomyosis. AJR Am J Roentgenol.
2011;196(5):1206-1213.
15. Stable G, Temtanakitpaisan T, Henrich W, Enghelabifar M.
Accuracy of ultrasonography in t he diagnosis of
adenomyosis: Systematic review and meta -analysis.
Ultrasound Obstet Gynecol. 2022;60(3):309-325.
16. Champaneria R, Abedin P, Daniels J, Pattison H, Khan KS.
Ultrasound scan and magnetic resonance imaging for the
diagnosis of adenomyosis: Sy stematic review comparing
test accuracy. Acta Obstet Gynecol Scand.
2010;89(11):1374-1384.
17. Tamai K, Togashi K, Ito T, Morisawa N, Fujiwara T,
Koyama T. MR imaging findings of adenomyosis:
Correlation with histopathologic features and diagnostic
pitfalls. Radiographics. 2005;25(1):21-40.
18. Bazot M, Darai E. Role of transvaginal sonography and
magnetic resonance imaging in the diagnosis of uterine
adenomyosis. Fertil Steril. 2018;109(3):389-397.
19. Dueholm M, Lundorf E. Transvaginal ultrasound or MRI
for diagnosis of adenomyosis. Curr Opin Obstet Gynecol.
2007;19(6):505-512.
20. Dueholm M, Lundorf E, Hansen ES, Sørensen JS,
Ledertoug S, Olesen F. Magnetic resonance imaging and
transvaginal ultrasonography for the diagnosis of
adenomyosis. Fertil Steril. 2001;76(3):588-594.
21. Alcázar JL, Kissling GE, Galván R, Guerriero S. Three -
dimensional ultrasound in gynecological clinical practice.
Ultrasound Obstet Gynecol. 2018;51(1):148-150.
22. Sharma K, Bora MK, Venkatesh BP, et al. Role of MRI in
diagnosis of adeno myosis. Indian J Radiol Imaging.
2013;23(1):39-44.
23. Liu X, Ding D, Ren Y, et al. Transvaginal elastography for
the diagnosis of adenomyosis: A systematic review and
meta-analysis. Eur J Obstet Gynecol Reprod Biol.
2021;267:46-52.
24. Abbott JA. Adenomyosi s and abnormal uterine bleeding
(AUB-A)—pathogenesis, diagnosis, and management. Best
Pract Res Clin Obstet Gynaecol. 2017;40:68-81.
How to Cite This Article
Suthar MB, Sethi S, Bhavy K. Diagnostic Accuracy of Transvaginal
Ultrasonography Versus MRI in Early Detection of Adenomyosis .
International Journal of Clinical Obstetrics and Gynaecology . 2026;
10(1):1216-1219.
Creative Commons (CC) License
This is an open access journal, and articles are distributed under the terms
of the Creative Commons Attribution -Non Commercial-Share Alike 4.0
International (CC BY -NC-SA 4.0) License, which allows others to rem ix,
tweak, and build upon the work non -commercially, as long as appropriate
credit is given and the new creations are licensed under the identical terms.
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.