APAnika G. Patel

Anika G. Patel

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Anika G. Patel has a total of 15 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Risk of Acute Cholecystitis Based on Combination of Patient Age, Patient Sex, Leukocytosis, and Sonographic Murphy Sign

    by Anika G. Patel, Lea Chen, Scott W. Young, Nirvikar Dahiya, Nan Zhang, Maitray D. Patel

    Objectives: To combine sonographic Murphy sign (SMS) with clinical parameters to effectively stratify patients into risk groups for acute cholecystitis.Methods: Consecutive emergency department patients from April 1, 2019 to August 31, 2022 with possible acute cholecystitis were grouped using patient age, sex, and white blood cell count to determine the rate of acute cholecystitis found in subgroups. Three distinct clinical risk groups were established and then regrouped by prospective assessment of SMS into three non‐imaging risk groups. Differences in the rate of acute cholecystitis for clinical parameters, clinical risk groups, and non‐imaging risk groups were statistically analyzed.Results: Of 1231 patients (mean [SD] age, 51.2 [19.5]; 476 [38.7%] male), 156 had acute cholecystitis (mean [SD] age, 62.0 [15.4]; 85 [54.5%] male). Rates differed based on sex (9.4% female vs 17.9% male, P < .001), age group (1.8% for patients P < .001), and white blood cell count (23.1% elevated vs 6.6% not elevated; P < .001). The low, average, and high non‐imaging risk groups had acute cholecystitis rates of 1.8%, 14.0%, and 43.1%, respectively. Relative risk (95% CI) for the low non‐imaging group compared with others was 0.07 (0.04, 0.12; P < .001); relative risk for the high non‐imaging risk group compared with others was 7.05 (5.32, 9.43; P < .001).Conclusions: Sonographic Murphy sign assessment combined with patient age, sex, and white blood cell count effectively stratifies acute care patients into distinct acute cholecystitis risk groups.


  • The impact of blood pressure on the risk of major bleeding complication after renal transplant biopsy

    by Winston T. Wang, Anika G. Patel, Nan Zhang, Scott W. Young, J. Scott Kriegshauser, Nirvikar Dahiya, Maitray D. Patel

    Purpose To assess the impact of elevated blood pressure on the rate of major hemorrhagic complication after renal transplant biopsy. Methods Pre-procedural systolic (SBP), diastolic (SBP), and mean arterial (MAP) blood pressure for consecutive patients undergoing US-guided renal transplant biopsies from 08/01/2015 to 7/31/2017 were retrospectively recorded. Patients who had a major bleeding complication were identified. The risk of complication as a function of SBP, DBP, and MAP was statistically analyzed, with significance set at p < 0.05. Results Of 1689 biopsies, there were 10 bleeding complications (10/1689, 0.59%). There was no statistically significant difference between biopsies with complication compared to those without complication based on SBP (p = 0.351), DBP (p = 0.088), or MAP (p = 0.132). Using risk dichotomization criteria, the odds ratio for hemorrhagic complication when the patient had SBP ≥ 180 mmHg and DBP ≥ 95 mmHg was 75.63 (95% CI 6.87–516.8, p = 0.002). Conclusion The rate of hemorrhagic complication from renal transplant biopsy is low, and there is no statistically significant threshold for increased biopsy risk based on SBP, DBP, or MAP alone. The risk of complication was significantly higher only when both the SBP is ≥ 180 mmHg and DBP is ≥ 95 mmHg. Graphic abstract


  • Detection of Bleeding Complications After Renal Transplant Biopsy

    by Anika G. Patel, J. Scott Kriegshauser, Scott W. Young, Nirvikar Dahiya, Maitray D. Patel

    OBJECTIVE. The purpose of this study was to analyze the timing of major bleeding complications after renal transplant biopsy in the context of a standardized 1-hour postprocedure observation protoc...


  • Growth Rate of Ovarian Serous Cystadenomas and Cystadenofibromas

    by Ross P. Frederick, Anika G. Patel, Scott W. Young, Nirvikar Dahiya, Maitray D. Patel

    Objectives: We analyzed growth rates of benign ovarian serous cystadenomas and cystadenofibromas to understand what percentage would show a volume doubling time (DT) of less than 3 years, between 3 and 5 years, or greater than 5 years.Methods: We retrospectively reviewed pathology records (January 1, 2014, to June 30, 2019) to find all surgically excised ovarian serous cystadenomas and cystadenofibromas. Imaging records were then reviewed to identify those that had been confidently identified with ultrasound imaging, magnetic resonance imaging, or computed tomography at least twice before surgical removal, with at least a 60‐day interval between studies. Three orthogonal measurements were recorded on the first and last imaging studies on which the mass was detected, with volume calculations by the prolate formula (product of 3 measurements multiplied by 0.52). The volume DT was calculated and grouped into 1 of 5 categories: (1) DT of less than 1 year; (2) DT of 1 to 3 years; (3) DT of 3 to 5 years; (4) DT of 5 to 10 years; and (5) no growth (any mass with a DT >10 years or showing a decrease in volume).Results: A total of 102 of 536 cystadenomas and 44 of 227 cystadenofibromas met inclusion criteria. Of the 146 tumors, 40 (27.4%) had a DT of less than 1 year; 38 (26.0%) had a DT of 1 to 3 years; 22 (15.1%) had a DT of 3 to 5 years; 10 (6.8%) had a DT of 5 to 10 years; and 36 (24.7%) showed no growth.Conclusions: A total of 53.4% of ovarian serous cystadenomas/cystadenofibromas have a DT of less than 3 years; 15.1% have a DT between 3 and 5 years; and 31.5% have a DT of greater than 5 years or show no growth.


  • Radiologists Make More Errors Interpreting Off-Hours Body CT Studies during Overnight Assignments as Compared with Daytime Assignments

    by Anika G. Patel, Victor J. Pizzitola, C. Daniel Johnson, Nan Zhang, Maitray D. Patel

    Radiologists working off-hours made more errors interpreting body CT examinations during night assignments compared with day assignments, with the highest error rate occurring in the latter half of... Background There is increasing research attention on the impact of overnight work on radiologist performance. Prior studies on overnight imaging interpretive errors have focused on radiology reside...


  • The Flipped Ovary Sign in Ovarian Torsion

    by Mark D. Sugi, Anika G. Patel, Johnny Yi, Maitray D. Patel

    The diagnosis of ovarian torsion is challenging and relies mostly on morphologic findings. Occasionally, women or children with acute pelvic pain who have undergone an initial ultrasound (US) evaluation with results interpreted as negative for ovarian torsion will return with recurrent or increasing pain, prompting an US reevaluation. The flipped ovary sign refers to a demonstrable change in the orientation of the ovary on follow‐up US examinations, recognized by changing positions of ovarian landmarks established by follicles, cysts, or masses. This sign is valuable for identifying ovarian torsion in these patients, even in the absence of classic morphologic or Doppler features of ovarian torsion.