{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T19:23:02Z","timestamp":1771528982797,"version":"3.50.1"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T00:00:00Z","timestamp":1747094400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T00:00:00Z","timestamp":1747094400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Hamad Medical Corporation - Medical Research Center","award":["IRGC-03-JI-17-080"],"award-info":[{"award-number":["IRGC-03-JI-17-080"]}]},{"DOI":"10.13039\/100007833","name":"Hamad Medical Corporation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100007833","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Perianal fistula is a complex condition where surgeons conduct surgeries based on the mentally mapped images they created from the information found in the radiology report. If not properly treated, a fistula could reoccur. To reduce the chances of reoccurrence, a patient-specific, visual, and accurate depiction of the internal tracts in relation to the pelvic floor is required. A three-dimensional (3D) parametric model generation software was previously developed and evaluated successfully with radiologists. In this paper, the software output is evaluated with two colorectal surgeons for 10 fistula cases. The paper compares three reporting\u00a0different modes: (1) 3D models only, (2) conventional radiology report and picture archiving and communication system (PACS) magnetic resonance (MR) images, and (3) 3D models\u2009+\u2009standardized radiology report. The percentage of agreement between surgeons across cases and cognitive load are the primary metrics used for evaluation. Mode 3 superseded both modes 1 and 2, meaning that surgeons prefer to see a 3D model along with a standardized report to plan a case\u2019s surgical intervention. Mode 1 superseded mode 2, which also shows surgeons preference to inspect a 3D model rather than inspecting cases the conventional way. Surgeons\u2019 agreement in opinions across cases in mode 3 was 85%, whereas it was 18% and 5% in mode 1 and mode 2, respectively. This shows that information was conveyed more\u00a0consistently across surgeons\u00a0in mode 3. NASA TLX tests show that surgeons had the least cognitive load while working with mode 3, followed by mode 1 and then mode 2. Overall, the findings indicate that 3D models, even without radiologists\u2019 written input, outperform the current standard practice of delivering unstructured radiology reports alongside raw PACS images.<\/jats:p>","DOI":"10.1007\/s10278-025-01524-4","type":"journal-article","created":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T11:39:19Z","timestamp":1747136359000},"page":"20-33","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of Reporting Methods for Assessment and Surgical Planning of Perianal Fistulas"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1275-7329","authenticated-orcid":false,"given":"Sarra","family":"Kharbech","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nabil Sherif","family":"Mahmood","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ma\u2019mon","family":"Qasem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julien","family":"Abinahed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amal","family":"Alobadli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Abunada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omar","family":"Aboumarzouk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdulla","family":"Al Ansari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shidin","family":"Balakrishnan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikhil","family":"Navkar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adham","family":"Darweesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,13]]},"reference":[{"key":"1524_CR1","doi-asserted-by":"publisher","unstructured":"Jhaveri KS., Thipphavong S., Guo L., and Harisinghani MG. 2018 MR Imaging of Perianal Fistulas. Radiologic Clinics of North America, vol. 56, no. 5, pp. 775\u2013789, 2018\/09\/01\/ 2018, https:\/\/doi.org\/10.1016\/j.rcl.2018.04.005","DOI":"10.1016\/j.rcl.2018.04.005"},{"key":"1524_CR2","unstructured":"Jimenez M., and Mandava N., Anorectal Fistula. StatPearls Publishing, 2023"},{"key":"1524_CR3","unstructured":"Sainio P., \u201cFistula-in-ano in a defined population. Incidence and epidemiological aspects,\u201d Ann Chir Gynaecol, vol. 73, no. 4, pp. 219\u2013224, 1984 1984"},{"key":"1524_CR4","doi-asserted-by":"publisher","unstructured":"Michalopoulos A., Papadopoulos V., Tziris N., and Apostolidis S. \u201cPerianal fistulas,\u201d Techniques in Coloproctology, vol. 14, pp. 15\u201317, 2010 2010, https:\/\/doi.org\/10.1007\/s10151-010-0607-y","DOI":"10.1007\/s10151-010-0607-y"},{"key":"1524_CR5","doi-asserted-by":"publisher","unstructured":"Abcarian H., \u201cAnorectal infection: abscess-fistula,\u201d Clin Colon Rectal Surg, vol. 24, no. 1, pp. 14\u201321, 2011\/3 2011, https:\/\/doi.org\/10.1055\/s-0031-1272819","DOI":"10.1055\/s-0031-1272819"},{"key":"1524_CR6","doi-asserted-by":"publisher","unstructured":"Parks AG., \u201cPathogenesis and treatment of fistuila-in-ano,\u201d Br Med J, vol. 1, no. 5224, pp. 463\u2013469, 1961\/2\/18 1961, https:\/\/doi.org\/10.1136\/bmj.1.5224.463","DOI":"10.1136\/bmj.1.5224.463"},{"key":"1524_CR7","doi-asserted-by":"publisher","unstructured":"Morris J., Spencer JA., and Ambrose NS. \u201cMR imaging classification of perianal fistulas and its implications for patient management,\u201d Radiographics, vol. 20, no. 3, pp. 623\u201335; 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