Evaluation of Association Between Adenomyosis and Cesarean Scar Defect.

PURPOSE: This study aims to investigate and compare quantitative factors of the cesarean scar defect (CSD) in symptomatic patients with and without uterine adenomyosis. METHOD: This study was conducted as a case-control study. Patients who met the inclusion criteria were divided into two groups: with adenomyosis (case) and without adenomyosis (control). The demographic data, medical history, and sonohysterography findings were extracted from the patient's documents and archived images. RESULT: During 2 years, 310 symptomatic women with a history of previous cesarean section underwent sonohysterography. Among them, 204 patients met the inclusion criteria. The most common chief complaints were post-menstrual bleeding (34.3%) and prolonged bleeding (27%). Cesarean scar depth and width significantly differed between these two groups, and patients with underlying adenomyosis had significantly larger defects (P-value of .009 and .005, respectively). Mean RMT/AMT ratio was 31.83% in the case group and 42.88% in the control group. In our study, RMT/AMT ratios were significantly lower in the case group (P-value of .001). In addition, we performed analysis on a subgroup of patients with one prior cesarean section. Similar results were achieved with a lower RMT/AMT ratio in case group (mean of 31.20% in case group and 46.47% in control group; P-value of .000). CONCLUSION: Our study showed a strong association between the presence of adenomyosis and larger clinically more significant CSDs. To establish a causative relationship, we suggest a prospective cohort study to follow up the patients and compare the evolution of CSD in patients with and without adenomyosis.

The imaging findings and diagnostic value of radiology modalities to assess breast malignancy among women aged younger than 30 years.

BACKGROUND: Breast cancer mainly affects women aged >50 years; however, younger women may also have advanced breast cancer, so early detection is important. PURPOSE: To collect and review the imaging findings of women aged <30 years with breast cancer to find better diagnostic approaches for the early diagnosis of breast cancer in young women. MATERIAL AND METHODS: In this study, 45 patients aged <30 years with a diagnosis of breast cancer were evaluated. Imaging assessments were performed based on ultrasound, mammography, and magnetic resonance imaging (MRI) findings. Finally, the findings were compared with the pathological results. RESULTS: Predominant findings in ultrasound included irregular spiculated mass in 59.4%. In mammography, irregular high-density mass (46.5%) and suspicious micro calcification (42.8%) were the most common findings. In MRI, the predominant feature was a heterogeneous enhancing mass with an irregular shape and irregular margin (81%) with a 45% plateau and 36% washout kinetic pattern. In the pathology assessment, invasive ductal carcinoma was the most common finding (84.4%). All three modalities-MRI, ultrasonography, and mammography-are valuable, with sensitivities of 100%, 93.3%, and 90%, respectively. CONCLUSION: Ultrasound, mammography, and MRI are highly sensitive and accurate tools for detecting breast cancer lesions in young women. Regular clinical breast examination with breast self-examination, and in suspected cases, ultrasound as the first imaging modality followed by mammography and/or MRI are the preferred diagnostic approach.

Is it necessary to define new diagnostic reference levels during pandemics like the Covid19-?

Introduction: This study intended to assess the dose length product (DLP), effective cumulative radiation dose (E.D.), and additional cancer risk (ACR) due to a chest CT scan to detect or follow up the Covid-19 disease in four university-affiliated hospitals that used different imaging protocols. Indeed, this study aimed to examine the differences in decision-making between different imaging centers in choosing chest CT imaging protocols during the pandemic, and to assess whether a new diagnostic reference level (DRL) is needed in pandemic situations. Methods: This retrospective study assessed the E.D. of all chest imagings for Covid-19 for six months in four different hospitals in our country. Imaging parameters and DLP (mGy.cm) were recorded. The E.D.s and ACRs from chest CT scans were calculated using an online calculator. Results: Thousand-six hundred patients were included in the study. The mean cumulative dose due to chest CT was 3.97 mSv which might cause 2.59 × 10-2 ACR. The mean cumulative E.D. in different hospitals was in the range of 1.96-9.51 mSv. Conclusions: The variety of mean E.D.s shows that different hospitals used different imaging protocols. Since there is no defined DRL in the pandemic, some centers use routine protocols, and others try to reduce the dose but insufficiently.In pandemics such as Covid-19, when CT scan is used for screening or follow-up, DLPs can be significantly lower than in normal situations. Therefore, international regularized organizations such as the international atomic energy agency (IAEA) or the international commission on radiological protection (IRCP) should provide new DRL ranges.

Usefulness of subtraction images for accurate diagnosis of pituitary microadenomas in dynamic contrast-enhanced magnetic resonance imaging.

BACKGROUND: Dynamic contrast-enhanced magnetic resonance imaging (MRI) is the modality of choice for the diagnosis of pituitary microadenomas; however, it may be associated with a relatively high false-negative rate, especially in small lesions. PURPOSE: To evaluate the usefulness of subtraction images for enhancing the visual detection of pituitary microadenomas. MATERIAL AND METHODS: In total, 50 patients with clinically established diagnosis hyperprolactinemia, acromegaly, and Cushing's disease were enrolled. Ten patients referred for brain MRI for reasons other than pituitary abnormality were selected as control group. Routine dynamic MRI of the pituitary gland and obtained subtraction MRI scans were scrutinized separately on different sessions by an experienced radiologist blinded to the study design and patient's data. The investigator's opinion on the presence or absence of a lesion and lesion size were collected. RESULTS: In patients with pituitary microadenoma, dynamic MRI images were reported positive in 42 (84%) patients and negative in 8 (16%). Subtraction images were described as positive in all patients (100%)-including all patients with negative dynamic MRI-and the difference was statistically significant (P=0.016). Undetected lesions on dynamic MRI had a mean size of 2.84 ± 1.79 mm (median= 2.20 mm, interquartile range=1.62-4.62 mm) and a significant inverse correlation was noted between lesion size and negative report of dynamic MRI (P=0.018). Brain MRI scans in the control group were reported negative for pituitary microadenoma in both dynamic contrast-enhanced and subtraction images. CONCLUSION: Subtraction images can successfully identify all lesions detectable with conventional dynamic MRI as well as improving visualization of lesions undetected on dynamic MRI, especially in small lesions.