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Bridging Communication Gaps Between Radiologists, Referring Physicians, and Patients Through Standardized Structured Cancer Imaging Reporting: The Experience with Female Pelvic MRI Assessment Using O-RADS and a Simulated Cohort Patient Group

Woo, Sungmin; Andrieu, Pamela Causa; Abu-Rustum, Nadeem R; Broach, Vance; Zivanovic, Oliver; Sonoda, Yukio; Chi, Dennis S; Aviki, Emeline; Ellis, Annie; Carayon, Pascale; Hricak, Hedvig; Vargas, Hebert A
RATIONALE AND OBJECTIVES:This study aimed to evaluate whether implementing structured reporting based on Ovarian-Adnexal Reporting and Data System (O-RADS) magnetic resonance imaging (MRI) in women with sonographically indeterminate adnexal masses improves communication between radiologists, referrers, and patients/caregivers and enhances diagnostic performance for determining adnexal malignancy. MATERIALS AND METHODS:We retrospectively analyzed prospectively issued MRI reports in 2019-2022 performed for characterizing adnexal masses before and after implementing O-RADS MRI; 56 patients/caregivers and nine gynecologic oncologists ("referrers") were surveyed about report interpretability/clarity/satisfaction; responses for pre- and post-implementation reports were compared using Fisher's exact and Chi-squared tests. Diagnostic performance was assessed using receiver operating characteristic curves. RESULTS:A total of 123 reports from before and 119 reports from after O-RADS MRI implementation were included. Survey response rates were 35.7% (20/56) for patients/caregivers and 66.7% (6/9) for referrers. For patients/caregivers, O-RADS MRI reports were clearer (p < 0.001) and more satisfactory (p < 0.001) than unstructured reports, but interpretability did not differ significantly (p = 0.14), as 28.0% (28/100) of postimplementation and 38.0% (38/100) of preimplementation reports were considered difficult to interpret. For referrers, O-RADS MRI reports were clearer, more satisfactory, and easier to interpret (p < 0.001); only 1.3% (1/77) were considered difficult to interpret. For differentiating benign from malignant adnexal lesions, O-RADS MRI showed area under the curve of 0.92 (95% confidence interval [CI], 0.85-0.99), sensitivity of 0.81 (95% CI, 0.58-0.95), and specificity of 0.91 (95% CI, 0.83-0.96). Diagnostic performance of reports before implementation could not be calculated due to many different phrases used to describe the likelihood of malignancy. CONCLUSION:Implementing standardized structured reporting using O-RADS MRI for characterizing adnexal masses improved clarity and satisfaction for patients/caregivers and referrers. Interpretability improved for referrers but remained limited for patients/caregivers.
PMID: 37661555
ISSN: 1878-4046
CID: 5669722

ChatGPT accurately performs genetic counseling for gynecologic cancers

Patel, Jharna M; Hermann, Catherine E; Growdon, Whitfield B; Aviki, Emeline; Stasenko, Marina
OBJECTIVE:Artificial Intelligence (AI) systems such as ChatGPT can take medical examinations and counsel patients regarding medical diagnosis. We aim to quantify the accuracy of the ChatGPT V3.4 in answering commonly asked questions pertaining to genetic testing and counseling for gynecologic cancers. METHODS:Forty questions were formulated in conjunction with gynecologic oncologists and adapted from professional society guidelines and ChatGPT version 3.5 was queried, the version that is readily available to the public. The two categories of questions were genetic counseling guidelines and questions pertaining to specific genetic disorders. The answers were scored by two attending Gynecologic Oncologists according to the following scale: 1) correct and comprehensive, 2) correct but not comprehensive, 3) some correct, some incorrect, and 4) completely incorrect. Scoring discrepancies were resolved by additional third reviewer. The proportion of responses earning each score were calculated overall and within each question category. RESULTS:ChatGPT provided correct and comprehensive answers to 33/40 (82.5%) questions, correct but not comprehensive answers to 6/40 (15%) questions, partially incorrect answers to 1/40 (2.5%) questions, and completely incorrect answers to 0/40 (0%) questions. The genetic counseling category of questions had the highest proportion of answers that were both correct and comprehensive with ChatGPT answering all 20/20 questions with 100% accuracy and were comprehensive in responses. ChatGPT performed equally in the specific genetic disorders category, with 88.2% (15/17) and 66.6% (2/3) correct and comprehensive answers to questions pertaining to hereditary breast and ovarian cancer and Lynch syndrome questions respectively. CONCLUSION/CONCLUSIONS:ChatGPT accurately answers questions about genetic syndromes, genetic testing, and counseling in majority of the studied questions. These data suggest this powerful tool can be utilized as a patient resource for genetic counseling questions, though more data input from gynecologic oncologists would be needed to educate patients on genetic syndromes.
PMID: 38676973
ISSN: 1095-6859
CID: 5664762

Let's chat about cervical cancer: Assessing the accuracy of ChatGPT responses to cervical cancer questions

Hermann, Catherine E; Patel, Jharna M; Boyd, Leslie; Growdon, Whitfield B; Aviki, Emeline; Stasenko, Marina
OBJECTIVE:To quantify the accuracy of ChatGPT in answering commonly asked questions pertaining to cervical cancer prevention, diagnosis, treatment, and survivorship/quality-of-life (QOL). METHODS:ChatGPT was queried with 64 questions adapted from professional society websites and the authors' clinical experiences. The answers were scored by two attending Gynecologic Oncologists according to the following scale: 1) correct and comprehensive, 2) correct but not comprehensive, 3) some correct, some incorrect, and 4) completely incorrect. Scoring discrepancies were resolved by additional reviewers as needed. The proportion of responses earning each score were calculated overall and within each question category. RESULTS:ChatGPT provided correct and comprehensive answers to 34 (53.1%) questions, correct but not comprehensive answers to 19 (29.7%) questions, partially incorrect answers to 10 (15.6%) questions, and completely incorrect answers to 1 (1.6%) question. Prevention and survivorship/QOL had the highest proportion of "correct" scores (scores of 1 or 2) at 22/24 (91.7%) and 15/16 (93.8%), respectively. ChatGPT performed less well in the treatment category, with 15/21 (71.4%) correct scores. It performed the worst in the diagnosis category with only 1/3 (33.3%) correct scores. CONCLUSION/CONCLUSIONS:ChatGPT accurately answers questions about cervical cancer prevention, survivorship, and QOL. It performs less accurately for cervical cancer diagnosis and treatment. Further development of this immensely popular large language model should include physician input before it can be utilized as a tool for Gynecologists or recommended as a patient resource for information on cervical cancer diagnosis and treatment.
PMID: 37988948
ISSN: 1095-6859
CID: 5608522

Improving risk stratification of indeterminate adnexal masses on MRI: What imaging features help predict malignancy in O-RADS MRI 4 lesions?

Wong, Bernadette Z Y; Causa Andrieu, Pamela I; Sonoda, Yukio; Chi, Dennis S; Aviki, Emeline M; Vargas, Hebert A; Woo, Sungmin
PURPOSE/OBJECTIVE:Ovarian-Adnexal Reporting and Data System (O-RADS) MRI uses a 5-point scale to establish malignancy risk in sonographically-indeterminate adnexal masses. The management of O-RADS MRI score 4 lesions is challenging, as the prevalence of malignancy is widely variable (5-90%). We assessed imaging features that may sub-stratify O-RADS MRI 4 lesions into malignant and benign subgroups. METHOD/METHODS:Retrospective single-institution study of women with O-RADS MRI score of 4 adnexal masses between April 2021-August 2022. Imaging findings were assessed independently by 2 radiologists according to the O-RADS lexicon white paper. MRI and clinical findingswere compared between malignant and benign adnexal masses, and inter-reader agreement was calculated. RESULTS:Seventy-four women (median age 52 years, IQR 36-61) were included. On pathology, 41 (55.4%) adnexal masses were malignant. Patients with malignant masses were younger (p = 0.02) with higher CA-125 levels (p = 0.03). Size of solid tissue was greater in malignant masses (p = 0.01-0.04). Papillary projections and larger solid portion were more common in malignant lesions; irregular septations and predominantly solid composition were more frequent in benign lesions (p < 0.01). Solid tissue of malignant lesions was more often hyperintense on T2-weighted and diffusion-weighted imaging (p ≤ 0.03). Other imaging findings were not significantly different (p = 0.09-0.77). Inter-reader agreement was excellent-good for most features (ICC = 0. 662-0.950; k = 0. 650-0.860). CONCLUSION/CONCLUSIONS:Various MRI and clinical features differed between malignant and benign O-RADS MRI score 4 adnexal masses. O-RADS MRI 4 lesions may be sub-stratified (high vs low risk) based on solid tissue characteristics and CA-125 levels.
PMID: 37806193
ISSN: 1872-7727
CID: 5605292

Financial Toxicity Order Set: Implementing a Simple Intervention to Better Connect Patients With Resources

Thom, Bridgette; Sokolowski, Stefania; Abu-Rustum, Nadeem R; Allen-Dicker, Joshua; Caramore, Amy; Chino, Fumiko; Doyle, Stephanie; Fitzpatrick, Christine; Gany, Francesca; Liebhaber, Allison; Newman, Tiffanny; Rao, Nisha; Tappen, Johanna; Aviki, Emeline M
PURPOSE/UNASSIGNED:Financial toxicity of cancer treatment is well described in the literature, including characterizations of its risk factors, manifestations, and consequences. There is, however, limited research on interventions, particularly those at the hospital level, to address the issue. METHODS/UNASSIGNED:From March 1, 2019, to February 28, 2022, a multidisciplinary team conducted a three-cycle Plan-Do-Study-Act (PDSA) process to develop, test, and implement an electronic medical record (EMR) order set to directly refer patients to a hospital-based financial assistance program. The cycles included an assessment of the efficacy of our current practice in connecting patients experiencing financial hardship with assistance, the development and piloting of the EMR referral order, and the broad implementation of the order set across our institution. RESULTS/UNASSIGNED:In PDSA cycle 1, we found that approximately 25% of patients at our institution experienced some form of financial hardship, but most patients were not connected to available resources because of our referral mechanism. In PDSA cycle 2, the pilot referral order set was deemed feasible and received positive feedback. Over the 12-month study period (March 1, 2021-February 28, 2022) of PDSA cycle 3, 718 orders were placed for 670 unique patients across interdisciplinary providers from 55 treatment areas. These referrals resulted in at least $850,000 in US dollars (USD) in financial aid in 38 patients (mean = $22,368 USD). CONCLUSION/UNASSIGNED:The findings from our three-cycle PDSA quality improvement project demonstrate the feasibility and efficacy of interdisciplinary efforts to develop a hospital-level financial toxicity intervention. A simple referral mechanism can empower providers to connect patients in need with available resources.
PMID: 37319394
ISSN: 2688-1535
CID: 5522052

Financial Toxicity Among Caregivers of Patients With Cancer-An Increasing Problem Requiring Novel Solutions [Comment]

Peddireddi, Ayush; Aviki, Emeline M
PMID: 37022691
ISSN: 2574-3805
CID: 5522042

Inflammatory vulvar dermatoses following immune checkpoint inhibitor therapy

Sia, Tiffany Y; Warner, Allison Betof; Noor, Sarah J; Aviki, Emeline M; Roche, Kara Long
PMID: 36084703
ISSN: 1097-6868
CID: 5522002

Financial toxicity: A practical review for gynecologic oncology teams to understand and address patient-level financial burdens

Liang, Margaret I; Harrison, Ross; Aviki, Emeline M; Esselen, Katharine M; Nitecki, Roni; Meyer, Larissa
Financial toxicity describes the adverse impact patients experience from the monetary and time costs of cancer care. The financial burden patients experience comes from substantially increased out-of-pocket spending that often occurs concurrent with reduced income due to sick leave from work. Financial toxicity is common affecting approximately half of patients with a gynecological cancer depending on the validated instrument used for measurement. Financial toxicity is experienced by patients in three domains: economic hardship affecting patients' material conditions (i.e., medical debt), psychological response (i.e., distress), and health-related coping behaviors that patients adopt (i.e., foregoing care due to costs). Higher financial toxicity among cancer patients has been associated with decreased quality of life, impaired adherence to recommended care, and worse overall survival. In this review, we describe the current literature on financial toxicity, including how it can be assessed with validated tools, the downstream impact on patients, risk factors, and employment concerns of survivors. Whenever possible, we highlight data from research featuring patients with gynecologic cancer specifically. We also review studies with interventions aimed to mitigate financial toxicity and offer the reader real world examples of interventions currently being used. Lastly, we provide an overview of health policy developments relevant to financial toxicity and advocate for innovation in the development and implementation of strategies to decrease the financial toxicity patients experience following a diagnosis of gynecologic cancer.
PMID: 36758422
ISSN: 1095-6859
CID: 5522032


Sharma, Bayley; Caramore, Amy; O\Leary, Justin; Tertinek, Nicholas; Kanneganti, Likhita; Aviki, Emeline
ISSN: 0190-535x
CID: 5522292

Maximizing the Utility and Cost-Effectiveness of Targeted RNA Sequencing in the Diagnosis of Uterine Mesenchymal Tumors [Meeting Abstract]

Allison, Douglas; Maldonado, Leonel; Glasgow, Akisha; Klein, Eric; Boroujeni, Amir Momeni; Aviki, Emeline; Chiang, Sarah
ISSN: 0023-6837
CID: 5522302