Understanding the consistency of pituitary macroadenomas is crucial for neurosurgeons planning surgery. This retrospective study aimed to evaluate the utility of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) as non-invasive imaging modalities for predicting the consistency of pituitary macroadenomas. This could contribute to appropriate surgical planning and therefore reduce the likelihood of incomplete resections. The study included 45 patients with pathologically confirmed pituitary macroadenomas. Conventional MRI sequences, DWIs, ADC maps, and pre- and post-contrast MRIs were performed. Two neuroradiologists assessed all of the images. Neurosurgeons assessed the consistency of the tumor macroscopically, and histopathologists examined it microscopically. The MRI findings were compared with postoperative data. According to the operative data, macroadenomas were divided into the two following categories based on their consistency: aspirable (n = 27) and non-aspirable tumors (n = 18). A statistically significant difference in DWI findings was found when comparing macroadenomas of different consistencies (p < 0.001). Most aspirable macroadenomas (66.7%) were hyperintense according to DWI and hypointense on ADC maps, whereas most non-aspirable macroadenomas (83.3%) were hypointense for DWI and hyperintense on ADC maps. At a cut-off value of 0.63 × 10⁻³ mm²/s, the ADC showed a sensitivity of 85.7% and a specificity of 75% for the detection of non-aspirable macroadenomas (AUC, 0.946). The study concluded that DWI should be routinely performed in conjunction with ADC measurements in the preoperative evaluation of pituitary macroadenomas. This approach may aid in surgical planning, ensure that appropriate techniques are utilized, and reduce the risk of incomplete resection.

There has been a notable increase in rhino-orbito-cerebral mucormycosis (ROCM) post-coronavirus disease 2019 (COVID-19), which is an invasive fungal infection with a fatal outcome. Magnetic resonance imaging (MRI) is a valuable tool for early diagnosis of ROCM and assists in the proper management of these cases. This study aimed to describe the characteristic MRI findings of ROCM in post-COVID-19 patients to help in the early diagnosis and management of these patients. This retrospective descriptive study was conducted at a single hospital and included 52 patients with COVID-19 and a histopathologically proven ROCM infection who were referred for an MRI of the paranasal sinuses (PNS) due to sino-orbital manifestations. Two radiologists reviewed all the MR images in consensus. The diagnosis was confirmed by histopathological examination. The maxillary sinus was the most commonly affected PNS (96.2%). In most patients (57.7%), multiple sinuses were involved with the black turbinate sign on postcontrast images. Extrasinus was evident in 43 patients with orbital involvement. The pterygopalatine fossa was involved in four patients. Three patients had cavernous sinus extension, two had pachymeningeal enhancement, and one had epidural collection. The alveolar margin was affected in two patients, and five patients had an extension to the cheek. The awareness of radiologists by the characteristic MRI features of ROCM in post-COVID-19 patients helps in early detection, early proper management, and prevention of morbid complications.

Digital mammography (DM) is the cornerstone of breast cancer detection. Digital breast tomosynthesis (DBT) is an advanced imaging technique used for diagnosing and screening breast lesions, particularly in dense breasts. This study aimed to evaluate the impact of combining DBT with DM on the BI-RADS categorization of equivocal breast lesions. We prospectively evaluated 148 females with equivocal BI-RADS breast lesions (BI-RADS 0, 3, and 4) with DM. All patients underwent DBT. Two experienced radiologists analyzed the lesions. They then assigned a BI-RADS category for each lesion according to the BI-RADS 2013 lexicon, using DM, DBT, and integrated DM and DBT. We compared the results based on major radiological characteristics, BI-RADS classification, and diagnostic accuracy, using the histopathological examination of the lesions as a reference standard. The total number of lesions was 178 on DBT and 159 on DM. Nineteen lesions were discovered using DBT and were missed by DM. The final diagnoses of 178 lesions were malignant (41.6%) and benign (58.4%). Compared to DM, DBT produced 34.8% downgrading and 32% upgrading of breast lesions. Compared with DM, DBT decreased the number of BI-RADS 4 and 3. All the upgraded BI-RADS 4 lesions were confirmed to be malignant. The combination of DM and DBT improves the diagnostic accuracy of BI-RADS for evaluating and characterizing mammographic equivocal breast lesions and allows for proper BI-RADS categorization.

Background: Adnexal masses (AMs) are prevalent, leading to a substantial clinical effort including imaging for diagnosis, surgery, and pathology. Aim of the study: The goal of this research was to evaluate the reliability of the Ovarian-Adnexal Reporting Data System Magnetic Resonance Imaging (O-RADS MRI) scale for diagnosing the sonographically indeterminate adnexal masses and to discriminate between malignant and benign ones using the O-RADS MRI scoring system. Methods: This study included 72 cases with indeterminate adnexal masses in any age group. We excluded patients with previous history of operated adnexal lesion and patients who had contraindications for MRI as pacemakers or iron clips. Results: Based on O-RADS MRI score, 44.4% of masses were diagnosed as O-RADS II indicating that they were almost certainly benign, 11.1% as O-RADS III indicating low risk malignancy, 8.3% as O-RADS IV indicating intermediate risk malignancy and 36.1% were diagnosed as O-RADS V indicating high risk malignancy. O-RADS MRI score for malignancy gave sensitivity of 92.31% (95%CI 63.97–99.81), specificity of 82.61% (95%CI 61.22–95.05), PPV of 75% (95%CI 54.84–88.11) and NPV of 95% (95%CI 74.12–99.21) with an overall accuracy of 86.11% (95%CI 70.50–95.33). Conclusions: The O-RADS MRI score has excellent accuracy and validity in determining whether an AM is malignant or benign. Using this score in clinical practice may enable a tailored, patient-centered approach for masses that are sonographically indeterminate, avoiding unnecessary surgery, and in certain cases allows less extensive surgery, or even fertility preservation when appropriate.

One of the most frequent reasons for gynecologic imaging is adnexal masses. The aim of the study is to assess the diagnostic performance of ultrasonography in the identification of ambiguous adnexal masses using the O-RADS US scoring system. This study included 108 cases and involved females with indeterminate adnexal masses, with any age group who were sent to the diagnostic ultrasonography department for evaluation of a worrisome adnexal mass lesion. We excluded patients who refused the examination despite informed discussion with the sonographer and patients with a previous history of operated adnexal lesion. Based on the O-RADS US score, more than half masses (52.8%) were diagnosed as O-RADS 3, which is low-risk malignant, and 47.2% were diagnosed as O-RADS 4, being intermediate-risk malignant. Regarding US O-RADS categorization in relation to the reference results by pathology, 57 lesions were categorized as O-RADS 3 by the US, and 18 of them was diagnosed as malignant according to pathology. Out of 51 lesions categorized as O-RADS 4 by the US, 30 were diagnosed as benign by pathology. At cutoff 4, the O-RADS US score for malignancy gave a sensitivity of 93.13% (95% CI 25.13–80.78), specificity of 66.72% (95% CI 34.49–76.81), PPV of 93.18% (95% CI 26.07–58.16), and NPV of 75.42% (95% CI 52.13–81.17) with an overall accuracy of 92.56% (95% CI 38.10–72.06). In order to distinguish between benign and malignant neoplastic lesions, the US O-RADS classification system is a crucial non-invasive diagnostic tool for suspected ovarian tumors.

Background: Sellar and suprasellar regions are complex areas of the brain, where different varieties of lesions can occur in this confined space. When evaluating sellar and suprasellar lesions prior to surgery, diffusion weighted MRI and MR spectroscopy are regarded as crucial diagnostic tools that supplement conventional MRI. Aim of the Study: The aim of the recent study was to evaluate the role of the DWI and Single-Voxel 1H MRS Metabolites in characterization of Sellar and Suprasellar masses. Methods: A prospective study has been conducted on 30 patients with various sellar and suprasellar masses consulted from Neurosurgery and Neurology Departments to the MRI unit over a period of 6 months between June 2023 and Nov 2023.They were examined with long-echo single voxel 1H -MRS and DWI by 1.5 Tesla clinical imaging machine. Examinations were guided by cMRI. We confirmed our diagnosis pathologically after surgical management. Results: Sellar and suprasellar tumors exhibited variable values for diffusion and the mean ADC value was for macroadenoma is (0.72±0.25)x10-3 mm2/sec, craniopharyngeoma is (1.8±0.1)x10-3 mm2/sec, glioma is (1.38±0.5)x10-3 mm2/sec, germinoma (0.80±0.2)x10-3 mm2/sec and for meningioma is (0.94±0.16)x10-3 mm2/sec. Pituitary macroadenoma were typically characterized by Cr peak, moderate elevation of Cho peak and significant reduction of NAA,. Craniopharyngiomas were classically distinguished by notable reduction of all metabolites .Rise of Cho peak and decrease of NAA and Cr peaks typically characterize Gliomas. The most distinguishing metabolite of meningioma is Alanine. Conclusions: Diffusion-weighted MRI and MR Spectroscopy can contribute to presurgical assessment and discrimination between various sellar, suprasellar masses.