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Patel, Anika G.

https://orcid.org/0000-0003-4304-8875

Mayo Clinic

Mayo Clinic in Arizona

Citations 5

Risk of Acute Cholecystitis Based on Combination of Patient Age, Patient Sex, Leukocytosis, and Sonographic Murphy Sign
Patel, Anika G. , Chen, Lea , Young, Scott W. , Dahiya, Nirvikar , Zhang, Nan , Patel, Maitray D , Young, Scott W , Patel, Maitray D.

Journal of Ultrasound in Medicine | January 2, 2025 | Volume: 44 | Issue: 5 | Pages: 807-816

10.1002/jum.16640 Get It

ObjectivesTo combine sonographic Murphy sign (SMS) with clinical parameters to effectively stratify patients into risk groups for acute cholecystitis.MethodsConsecutive 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.ResultsOf 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 <30 years, 9.0% for patients 30–59 years, 22.3% for patients ≥60 years; 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).ConclusionsSonographic Murphy sign assessment combined with patient age, sex, and white blood cell count effectively stratifies acute care patients into distinct acute cholecystitis risk groups.
Growth Rate of Ovarian Serous Cystadenomas and Cystadenofibromas
Frederick, Ross P. , Patel, Anika G. , Young, Scott W. , Dahiya, Nirvikar , Patel, Maitray D , Young, Scott W , Patel, Maitray D.

Journal of Ultrasound in Medicine | December 19, 2020 | Volume: 40 | Issue: 10 | Pages: 2123-2130

10.1002/jum.15597 Get It

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.
Detection of Bleeding Complications After Renal Transplant Biopsy
Patel, Anika G. , Young, Scott W. , Dahiya, Nirvikar , Young, Scott W , Kriegshauser, J. Scott , Patel, Maitray D.

American Journal of Roentgenology | December 16, 2020 | Volume: 216 | Issue: 2 | Pages: 428-435

10.2214/ajr.20.22990 Get It

The Flipped Ovary Sign in Ovarian Torsion
Sugi, Mark , Patel, Anika G. , Yi, Johnny , Sugi, Mark D , Patel, Maitray D.

Journal of Ultrasound in Medicine | September 1, 2020 | Volume: 40 | Issue: 4 | Pages: 839-843

10.1002/jum.15462 Get It

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.
Radiologists Make More Errors Interpreting Off-Hours Body CT Studies during Overnight Assignments as Compared with Daytime Assignments
Patel, Anika G. , Pizzitola, Victor J. , Johnson, C. Daniel, Zhang, Nan , Patel, Maitray D , Patel, Maitray D.

Radiology | August 18, 2020 | Volume: 297 | Issue: 2 | Pages: 374-379

10.1148/radiol.2020201558 Get It