This commentary critiques the study \"Route patterns of the collateral venous pathway in patients with tumors invading the superior sagittal sinus\" by Pawit Jirawisan et al., highlighting its limitations in discussing parafalcine venous collaterals, reliance on invasive imaging modalities, and lack of structured assessments. It suggests improvements by incorporating alternative imaging techniques, acknowledging crucial venous structures, and providing grading systems for surgical decision-making.

This paper discusses an interesting case of pan plexopathy and the difficulties associated with the diagnostic processes based on patient-specific circumstances. It walks through the major differential of the etiology of the patient\'s particular presenting symptoms and the associated diagnostic and therapeutic process by which this particular patient was treated. In the discussion, the relevant anatomy of the brachial plexus and the surrounding structures in both the cervical and the axillary regions is discussed and key clinical pearls that became apparent throughout the diagnostic workup that was significant for a hematoma and therapeutic process aimed at providing symptomatic relief until recovery to baseline. This case study discusses the benefits, drawbacks, and financial costs of utilizing the major different imaging modalities such as CT, MRI, or Point of Care Ultrasound (POCUS). Finally, this study provides a new diagnostic algorithm for the selection of the imaging modality based on the major principles of value-based care as detailed by both the Radiological Society of North America and the European Society of Radiology.

OBJECTIVE: Artificial intelligence (AI) in radiology has been a subject of heated debate. The external perception is that algorithms and machines cannot offer better diagnosis than radiologists. Reluctance to implement AI maybe due to the opacity in how AI applications work and the challenging and lengthy validation process. In this study, Saudi radiology personnel\'s familiarity with AI applications and its usefulness in clinical practice were investigated.
METHODS: A cross-sectional study was conducted in Saudi Arabia among radiology personnel from March to April 2021. Radiology personnel nationwide were surveyed electronically using Google form. The questionnaire included 12-questions related to AI usefulness in clinical practice and participants\' knowledge about AI and their acceptance level to learn and implement this technology into clinical practice. Participants\' trust level was also measured; Kruskal-Wallis test was used to examine differences between groups.
RESULTS: A total of 224 respondents from various radiology-related occupations participated in the survey. The lowest trust level in AI applications was shown by radiologists (p = 0.033). Eighty-two percent of participants (n = 184) had never used AI in their departments. Most respondents (n = 160, 71.4%) reported lack of formal education regarding AI-based applications. Most participants (n = 214, 95.5%) showed strong interest in AI education and are willing to incorporate it into the clinical practice of radiology. Almost half of radiography students (22/46, 47.8%) believe that their job might be at risk due to AI application (p = 0.038).
CONCLUSIONS: Radiology personnel\'s knowledge of AI has a significant impact on their willingness to learn, use and adapt this technology in clinical practice. Participants demonstrated a positive attitude towards AI, showed a reasonable understanding and are highly motivated to learn and incorporate it into clinical practice. Some participants felt that their jobs were threatened by AI adaptation, but this belief might change with good training and education programmes.

BACKGROUND: Indeterminate renal cysts may require several imaging modalities before clinical decision. The aim of this study was to investigate the effect of the imaging modality used to characterize indeterminate renal cysts on the pathological findings after surgical resection.
METHODS: From our institutional database, we identified all patients surgically treated for Bosniak III renal masses between January 2008 and January 2018. All complex renal cysts were characterized with a combination of computed tomography (CT) and/or magnetic resonance imaging (MRI), and/or contrast-enhanced ultrasound (CEUS) and discussed during a multidisciplinary tumor board. Potential association between clinical/radiological characteristics and the pathological findings were investigated, using univariate and multivariate analyses.
RESULTS: Of the 52 renal cystic lesions surgically removed, with a preoperative diagnosis of Bosniak III renal cyst, 19 (37%) were malignant and 33 (63%) were benign. The proportion of malignant lesions decreased from 47% when the renal cyst was characterized with cross-sectional imaging (CT and/or MRI) to 17% when the diagnosis required CEUS in addition to cross-sectional imaging. In multivariate analysis, prior history of renal cell carcinoma was associated with a higher risk of malignancy (p = 0.016) and diagnosis made with CEUS was associated with a lower risk of malignancy (p = 0.040).
CONCLUSIONS: We found that using CEUS in addition to cross-sectional imaging to characterize indeterminate renal cysts tends to redefine Bosniak III as lesions with a lower risk of malignancy and can lead to overclassification.

Body packing is one of the common ways to traffic illicit drugs. Drug mules usually swallow or insert drugs within the gastrointestinal tract or other orifices. Detection of such drug packets has become difficult because of the constantly improving packaging techniques and the sophistication used by traffickers. Suspected obstruction or perforated hollow viscus requires employment of appropriate radiological procedures and techniques for accurate detection and precise diagnosis. A delay diagnosis and inappropriate action may carry disastrous physical consequences for the body packers. It is crucial for radiologists to acquire enough experience to deduce different types of drug packets from their imaging characteristics and to accurately guide emergency physicians and security officials. The packets are not always radiodense, therefore they can be difficult to detect on conventional abdominal radiographs. In this report, the authors illustrate 5 cases with different packaging methods and materials that give rise to radiological challenges.

OBJECTIVE: To discuss current literature evaluating the medial clavicular epiphysis to assess an individual\'s age using various imaging modalities.
METHODS: Four scholarly research databases were searched to find studies that examined living subjects. Several articles were included that used cadavers, and a textbook was used to detail the anatomy of the clavicle. Thirty-nine articles were analyzed.
RESULTS: The literature indicated that several imaging modalities, including conventional radiography, computed tomography, magnetic resonance, and sonography, are being used to evaluate the medial clavicular epiphysis to estimate an individual\'s age in the forensic context. In addition to multiple modalities, researchers are using various staging classification systems, ethnic groups, and interpreter criteria to establish reference data.
CONCLUSIONS: There is a need to determine the age of individuals involved in civil and criminal proceedings who do not have valid birth date documentation. The clavicle is the last bone in the human body to complete fusion. The clavicle begins to fuse in the early teens and completes medial epiphyseal fusion in the late 20s. Clavicle fusion spans the legally significant age range of 18 through 21. Multiple variables influence the final age estimation, including interpreters\' experience, the individual\'s socioeconomic class or area of origin, and limitations within the imaging modalities.
CONCLUSIONS: Computed tomography is the modality of choice for forensic age estimation using the medial clavicular epiphysis. Radiologic technologists should be cognizant of current forensic age estimation practices, and future research should continue to provide reference data to improve accuracy of age estimation in those individuals who lack documentation of their date of birth.

The current version (ver. 7.3) of the popular quantitative coronary analysis system QAngio XA (Medis Medical Imaging System BV, Leiden, the Netherlands) is widely used without evaluating the agreement between the current and older versions in relation to a change of algorithms. The purpose of this study was to assess the equivalence of averages between QAngio XA versions 7.3 and 6.0. Based on the calculated sample size, angiographic images of 100 patients who underwent percutaneous coronary intervention of a single target lesion were randomly selected from two published studies (OUCH-TL: 154 lesions; OUCH-PRO: 160 lesions). The primary endpoint was the minimum lumen diameter (MLD), and the secondary endpoints were the reference diameter (RefD) and length of the stenotic lesion (LL). Two independent analysts measured the same frame using both previous and current versions of QAngio XA. Version-order for each lesion was randomly determined per coronary locations targeted. Data were analysed by using a mixed model that includes random lesion effects and fixed rater effects and reading-order effects. A Bland-Altman plot of parameters showed no large differences between the versions. Differences in parameters were estimated by the mixed model, and the 95% confidence interval of the MLD, RefD, and LL estimates was from -0.045 to -0.0001 mm, from -0.040 to 0.006 mm, and from -1.08 to 0.46 mm, respectively, compared with the predefined non-inferiority margin of ±0.2 mm. Measurements of MLD and RefD using QAngio XA showed no major systematic differences between versions.