{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T06:09:29Z","timestamp":1790834969511,"version":"4.1.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T00:00:00Z","timestamp":1700697600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T00:00:00Z","timestamp":1700697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"DOI":"10.1007\/s00261-023-04103-9","type":"journal-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T18:01:35Z","timestamp":1700762495000},"page":"857-867","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["CT texture analysis for differentiating between peritoneal carcinomatosis and peritoneal tuberculosis: a cross-sectional study"],"prefix":"10.1007","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2170-5344","authenticated-orcid":false,"given":"Muhammad","family":"Awais","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Noman","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ayimen Khalid","family":"Khan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdul","family":"Rehman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,11,23]]},"reference":[{"key":"4103_CR1","doi-asserted-by":"publisher","first-page":"284","DOI":"10.3322\/caac.21277","volume":"65","author":"LA Lambert","year":"2015","unstructured":"Lambert LA (2015) Looking up: Recent advances in understanding and treating peritoneal carcinomatosis. CA Cancer J Clin 65:284-298.","journal-title":"CA Cancer J Clin"},{"key":"4103_CR2","doi-asserted-by":"publisher","first-page":"7692","DOI":"10.3748\/wjg.v22.i34.7692","volume":"22","author":"L Lemoine","year":"2016","unstructured":"Lemoine L, Sugarbaker P, Van der Speeten K (2016) Pathophysiology of colorectal peritoneal carcinomatosis: Role of the peritoneum. World J Gastroenterol 22:7692-7707.","journal-title":"World J Gastroenterol"},{"key":"4103_CR3","doi-asserted-by":"publisher","first-page":"588","DOI":"10.29271\/jcpsp.2019.06.588","volume":"29","author":"H Wang","year":"2019","unstructured":"Wang H, Qu X, Liu X, Ding L, Yue Y (2019) Female Peritoneal Tuberculosis with Ascites, Pelvic Mass, or Elevated CA 125 Mimicking Advanced Ovarian Cancer: A Retrospective Study of 26 Cases. J Coll Physicians Surg Pak 29:588-589.","journal-title":"J Coll Physicians Surg Pak"},{"key":"4103_CR4","doi-asserted-by":"publisher","first-page":"129","DOI":"10.29271\/jcpsp.2020.02.129","volume":"30","author":"QA Ahmad","year":"2020","unstructured":"Ahmad QA, Sarwar MZ, Fatimah N, Ahmed AS, Changaizi SH, Ayyaz M (2020) Acute Presentation and Management of Abdominal Tuberculosis. J Coll Physicians Surg Pak 30:129-133.","journal-title":"J Coll Physicians Surg Pak"},{"key":"4103_CR5","first-page":"1461","volume":"68","author":"F Naz","year":"2018","unstructured":"Naz F, Mirza WA, Hashmani N, Sayani R (2018) To identify the features differentiating peritoneal tuberculosis from carcinomatosis on CT scan abdomen taking omental biopsy as a gold standard. J Pak Med Assoc 68:1461-1464.","journal-title":"J Pak Med Assoc"},{"key":"4103_CR6","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1016\/j.jogoh.2019.03.017","volume":"48","author":"V Lavoue","year":"2019","unstructured":"Lavoue V, Huchon C, Akladios C, Alfonsi P, Bakrin N, Ballester M, Bendifallah S, Bolze PA, Bonnet F, Bourgin C, Chabbert-Buffet N, Collinet P, Courbiere B, De la Motte Rouge T, Devouassoux-Shisheboran M, Falandry C, Ferron G, Fournier L, Gladieff L, Golfier F, Gouy S, Guyon F, Lambaudie E, Leary A, Lecuru F, Lefrere-Belda MA, Leblanc E, Lemoine A, Narducci F, Ouldamer L, Pautier P, Planchamp F, Pouget N, Ray-Coquard I, Rousset-Jablonski C, Senechal-Davin C, Touboul C, Thomassin-Naggara I, Uzan C, You B, Darai E (2019) Management of epithelial cancer of the ovary, fallopian tube, and primary peritoneum. Long text of the Joint French Clinical Practice Guidelines issued by FRANCOGYN, CNGOF, SFOG, and GINECO-ARCAGY, and endorsed by INCa. Part 1: Diagnostic exploration and staging, surgery, perioperative care, and pathology. J Gynecol Obstet Hum Reprod 48:369-378.","journal-title":"J Gynecol Obstet Hum Reprod"},{"key":"4103_CR7","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1055\/s-0041-1736030","volume":"10","author":"A Maheshwari","year":"2021","unstructured":"Maheshwari A, Gupta S, Rai S, Rekhi B, Kelkar R, Shylasree TS, Menon S, Deodhar K, Thakur M, Das U, Gupta S, Tandon S (2021) Clinical and Laboratory Characteristics of Patients with Peritoneal Tuberculosis Mimicking Advanced Ovarian Cancer. South Asian J Cancer 10:102-106.","journal-title":"South Asian J Cancer"},{"key":"4103_CR8","doi-asserted-by":"publisher","first-page":"520","DOI":"10.2214\/AJR.18.20624","volume":"212","author":"BA Varghese","year":"2019","unstructured":"Varghese BA, Cen SY, Hwang DH, Duddalwar VA (2019) Texture Analysis of Imaging: What Radiologists Need to Know. AJR Am J Roentgenol 212:520-528.","journal-title":"AJR Am J Roentgenol"},{"key":"4103_CR9","unstructured":"Nioche CO, F.; Buvat, I. (2023) LIFEx User Guide: Local Image Features Extraction."},{"key":"4103_CR10","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1148\/radiol.2020191145","volume":"295","author":"A Zwanenburg","year":"2020","unstructured":"Zwanenburg A, Vallieres M, Abdalah MA, Aerts H, Andrearczyk V, Apte A, Ashrafinia S, Bakas S, Beukinga RJ, Boellaard R, Bogowicz M, Boldrini L, Buvat I, Cook GJR, Davatzikos C, Depeursinge A, Desseroit MC, Dinapoli N, Dinh CV, Echegaray S, El Naqa I, Fedorov AY, Gatta R, Gillies RJ, Goh V, Gotz M, Guckenberger M, Ha SM, Hatt M, Isensee F, Lambin P, Leger S, Leijenaar RTH, Lenkowicz J, Lippert F, Losnegard A, Maier-Hein KH, Morin O, Muller H, Napel S, Nioche C, Orlhac F, Pati S, Pfaehler EAG, Rahmim A, Rao AUK, Scherer J, Siddique MM, Sijtsema NM, Socarras Fernandez J, Spezi E, Steenbakkers R, Tanadini-Lang S, Thorwarth D, Troost EGC, Upadhaya T, Valentini V, van Dijk LV, van Griethuysen J, van Velden FHP, Whybra P, Richter C, Lock S (2020) The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology 295:328-338.","journal-title":"Radiology"},{"key":"4103_CR11","unstructured":"Core Team R (2021) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria."},{"key":"4103_CR12","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.diii.2014.02.009","volume":"95","author":"AD Diop","year":"2014","unstructured":"Diop AD, Fontarensky M, Montoriol PF, Da Ines D (2014) CT imaging of peritoneal carcinomatosis and its mimics. Diagn Interv Imaging 95:861-872.","journal-title":"Diagn Interv Imaging"},{"key":"4103_CR13","doi-asserted-by":"publisher","first-page":"1545","DOI":"10.1007\/s00261-022-03749-1","volume":"48","author":"Y Pang","year":"2023","unstructured":"Pang Y, Li Y, Xu D, Sun X, Hou D (2023) Differentiating peritoneal tuberculosis and peritoneal carcinomatosis based on a machine learning model with CT: a multicentre study. Abdom Radiol (NY) 48:1545-1553.","journal-title":"Abdom Radiol (NY)"},{"key":"4103_CR14","doi-asserted-by":"publisher","first-page":"20190762","DOI":"10.1259\/bjr.20190762","volume":"93","author":"X Hu","year":"2020","unstructured":"Hu X, Ye W, Li Z, Chen C, Cheng S, Lv X, Weng W, Li J, Weng Q, Pang P, Xu M, Chen M, Ji J (2020) Non-invasive evaluation for benign and malignant subcentimeter pulmonary ground-glass nodules (\u00a0<\u00a0\/\u00a0=\u00a01 cm) based on CT texture analysis. Br J Radiol 93:20190762.","journal-title":"Br J Radiol"},{"key":"4103_CR15","doi-asserted-by":"publisher","first-page":"4951","DOI":"10.1007\/s00330-017-4881-1","volume":"27","author":"S Liu","year":"2017","unstructured":"Liu S, Liu S, Ji C, Zheng H, Pan X, Zhang Y, Guan W, Chen L, Guan Y, Li W, He J, Ge Y, Zhou Z (2017) Application of CT texture analysis in predicting histopathological characteristics of gastric cancers. Eur Radiol 27:4951-4959.","journal-title":"Eur Radiol"},{"key":"4103_CR16","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1007\/s00330-014-3420-6","volume":"25","author":"H Bayanati","year":"2015","unstructured":"Bayanati H, R ET, Souza CA, Sethi-Virmani V, Gupta A, Maziak D, Amjadi K, Dennie C (2015) Quantitative CT texture and shape analysis: can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer? Eur Radiol 25:480-487.","journal-title":"Eur Radiol"},{"key":"4103_CR17","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.1007\/s00330-018-5662-1","volume":"29","author":"K Sandrasegaran","year":"2019","unstructured":"Sandrasegaran K, Lin Y, Asare-Sawiri M, Taiyini T, Tann M (2019) CT texture analysis of pancreatic cancer. Eur Radiol 29:1067-1073.","journal-title":"Eur Radiol"},{"key":"4103_CR18","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.crad.2011.08.012","volume":"67","author":"B Ganeshan","year":"2012","unstructured":"Ganeshan B, Skogen K, Pressney I, Coutroubis D, Miles K (2012) Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival. Clin Radiol 67:157-164.","journal-title":"Clin Radiol"},{"key":"4103_CR19","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1148\/radiol.11110264","volume":"261","author":"V Goh","year":"2011","unstructured":"Goh V, Ganeshan B, Nathan P, Juttla JK, Vinayan A, Miles KA (2011) Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker. Radiology 261:165-171.","journal-title":"Radiology"},{"key":"4103_CR20","doi-asserted-by":"publisher","first-page":"6788","DOI":"10.1007\/s00330-020-07012-3","volume":"30","author":"W Wei","year":"2020","unstructured":"Wei W, Hu XW, Cheng Q, Zhao YM, Ge YQ (2020) Identification of common and severe COVID-19: the value of CT texture analysis and correlation with clinical characteristics. Eur Radiol 30:6788-6796.","journal-title":"Eur Radiol"},{"key":"4103_CR21","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1148\/radiol.2019190450","volume":"293","author":"A Westcott","year":"2019","unstructured":"Westcott A, Capaldi DPI, McCormack DG, Ward AD, Fenster A, Parraga G (2019) Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation. Radiology 293:676-684.","journal-title":"Radiology"},{"key":"4103_CR22","doi-asserted-by":"crossref","first-page":"20180153","DOI":"10.1259\/bjr.20180153","volume":"92","author":"MG Lubner","year":"2019","unstructured":"Lubner MG, Jones D, Kloke J, Said A, Pickhardt PJ (2019) CT texture analysis of the liver for assessing hepatic fibrosis in patients with hepatitis C virus. Br J Radiol 92:20180153.","journal-title":"Br J Radiol"},{"key":"4103_CR23","doi-asserted-by":"publisher","first-page":"4389","DOI":"10.1007\/s00330-018-5364-8","volume":"28","author":"Q Shen","year":"2018","unstructured":"Shen Q, Shan Y, Hu Z, Chen W, Yang B, Han J, Huang Y, Xu W, Feng Z (2018) Quantitative parameters of CT texture analysis as potential markersfor early prediction of spontaneous intracranial hemorrhage enlargement. Eur Radiol 28:4389-4396.","journal-title":"Eur Radiol"},{"key":"4103_CR24","doi-asserted-by":"publisher","first-page":"1240","DOI":"10.1007\/s00259-018-4195-9","volume":"46","author":"O Manabe","year":"2019","unstructured":"Manabe O, Ohira H, Hirata K, Hayashi S, Naya M, Tsujino I, Aikawa T, Koyanagawa K, Oyama-Manabe N, Tomiyama Y, Magota K, Yoshinaga K, Tamaki N (2019) Use of (18)F-FDG PET\/CT texture analysis to diagnose cardiac sarcoidosis. Eur J Nucl Med Mol Imaging 46:1240-1247.","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"4103_CR25","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s11547-021-01443-8","volume":"127","author":"GM Masci","year":"2022","unstructured":"Masci GM, Ciccarelli F, Mattei FI, Grasso D, Accarpio F, Catalano C, Laghi A, Sammartino P, Iafrate F (2022) Role of CT texture analysis for predicting peritoneal metastases in patients with gastric cancer. Radiol Med 127:251-258.","journal-title":"Radiol Med"},{"key":"4103_CR26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0194755","volume":"13","author":"HY Kim","year":"2018","unstructured":"Kim HY, Kim YH, Yun G, Chang W, Lee YJ, Kim B (2018) Could texture features from preoperative CT image be used for predicting occult peritoneal carcinomatosis in patients with advanced gastric cancer? PLoS One 13:e0194755.","journal-title":"PLoS One"}],"updated-by":[{"DOI":"10.1007\/s00261-023-04170-y","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T00:00:00Z","timestamp":1705968000000}}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-023-04103-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-023-04103-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-023-04103-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T03:28:07Z","timestamp":1730604487000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-023-04103-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,23]]},"references-count":26,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["4103"],"URL":"https:\/\/doi.org\/10.1007\/s00261-023-04103-9","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s00261-023-04170-y","asserted-by":"object"}]},"ISSN":["2366-0058"],"issn-type":[{"value":"2366-0058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,23]]},"assertion":[{"value":"28 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 October 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 October 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 November 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 January 2024","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s00261-023-04170-y","URL":"https:\/\/doi.org\/10.1007\/s00261-023-04170-y","order":8,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}}]}}