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Diffusion-weighted imaging and perfusion MRI were performed before and after CCRT, and quantitative diffusion metrics (ADC) and perfusion parameters (Ktrans, Kep, Ve, Vp, SImax, SIrel, and time-to-peak) were analyzed. Tumor regression rates were compared between residual and nonresidual groups using statistical cutoffs.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/quantitative-diffusion-and-perfusion-mri-as-response-predictor-in-cervical-squamous-cell-carcinoma-treated-with-ccrt-article/460461/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/quantitative-diffusion-and-perfusion-mri-as-response-predictor-in-cervical-squamous-cell-carcinoma-treated-with-ccrt-article/460461.png","ImageObject",300,407,{"name":92,"@type":93},"moss~","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What imaging techniques were used to predict response to CCRT in LASCC?","Question",{"text":113,"@type":114},"The study used diffusion-weighted imaging (DWI) and perfusion MRI before and after concurrent chemoradiotherapy (CCRT). Quantitative diffusion and perfusion parameters were analyzed to evaluate response.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which quantitative perfusion parameter showed the highest diagnostic performance?",{"text":118,"@type":114},"Pretreatment Kep showed the highest diagnostic performance, with sensitivity of 100%, specificity of 80%, and an area under the curve of 0.833.",{"name":120,"@type":111,"acceptedAnswer":121},"Did ADC values help predict treatment response in this study?",{"text":122,"@type":114},"No. ADC values did not show any significant result for evaluating treatment response of LASCC to CCRT, unlike most perfusion parameters.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},460461,1790867772,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":52,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},962090895452,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Article published online: 2025-06-04  \nOriginal Article 59  \nQuantitative Diffusion and Perfusion MRI as Response Predictor in Cervical Squamous Cell Carcinoma Treated with CCRT  \nRajat Nandi 1 Ritu Misra 1 Neha Bagri 1 Saritha Shamsunder2 Charanjeet Ahluwalia3  \n1 Department of Radiodiagnosis, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India  \n2 Department of Obstetrics and Gynaecology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India  \n3 Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India  \nIndian J Radiol Imaging 2026;36:59–68.  \nAddress for correspondence Neha Bagri, MD, Department of Radiodiagnosis, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi 110029, India (e-mail: [drnehabagri@gmail.com](drnehabagri@gmail.com)).  \nAbstract  \nKeywords  \n► chemoradiotherapy  \n► cervical carcinoma  \n► diffusion  \n► perfusion  \n► MRI  \nPurpose This article evaluates the treatment response to chemoradiotherapy in locally advanced cervical squamous cell carcinoma using quantitative diffusion and perfusion magnetic resonance imaging (MRI) parameters and studies their role as response predictors. Materials and Methods Patients diagnosed with locally advanced squamous cell carcinoma cervix (LASCC) and planned for concurrent chemoradiotherapy (CCRT) were included. Diffusion-weighted imaging (DWI) and perfusion MRI were performed both pre- and post-CCRT. Statistical analysis of quantitative DWI (apparent diffusion coefficient [ADC]) and perfusion MRI parameters (Ktrans , Kep , Ve, Vp , SImax , SIrel , and time-to-peak) was done to assess the tumor regression rate and compare them between the residual and nonresidual groups.  \nResults All the MR perfusion parameters showed statistically significant results (p \u003C 0.05) for the evaluation of the treatment response of LASCC to CCRT using the obtained cutoff values, except for Vp. The highest diagnostic performance was of pretreatment Kep with a sensitivity of 100%, specificity of 80%, positive predictive value of 54.5%, negative predictive value of 100%, area under the curve of 0.833, and diagnostic accuracy of 74.2% . However, ADC values did not show any significant result for the evaluation of the treatment response of LASCC.  \nConclusion Quantitative MR perfusion parameters have a significant role in evaluating treatment response to CCRT in LASCC.  \nIntroduction  \nCervical cancer is the fourth most prevalent cancer and cause ofdeath due to cancer globally, with an estimated new case of 604,127 and 341,831 fatalities.1 In India, it is the second most  \narticle published online June 4, 2025  \nDOI [https://doi.org/](https://doi.org/)[ ](https://doi.org/)10.1055/s-0045-1807721 . ISSN 0971-3026.  \ncommon cancer and cause of death, registering 123,907 new cases annually and 77,348 fatalities.2  \nThe revised FIGO staging 2018 (International Federation of Gynecology and Obstetrics), an internationally recognized staging system for cervical cancer, has allowed the use of any  \n© 2025 . Indian Radiological Association. All rights reserved.  \nThis is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ([https://creativecommons.org/](https://creativecommons.org/)[ ](https://creativecommons.org/)[licenses/by-nc-nd/4.0/](licenses/by-nc-nd/4.0/))  \nThieme Medical and Scientific Publishers Pvt. Ltd. , A-12, 2nd Floor, Sector 2, Noida-201301 UP, India  \n60 MR Perfusion in Pre- and Post-CCRT Cervical Carcinoma Nandi et al.  \nimaging modality and/or pathological findings.3 In earlystage disease, before the parametrium is involved (less than IIb), endovaginal or endorectal ultrasound (US) might suffice, but it has a limited field of view (F","cbCaiiT7i2UtaR4r","https://ap.wps.com/l/cbCaiiT7i2UtaR4r","pdf",4245124,"English","# Abstract\n## Purpose\n## Materials and Methods\n## Results\n## Conclusion\n# Introduction","[{\"question\":\"What imaging techniques were used to predict response to CCRT in LASCC?\",\"answer\":\"The study used diffusion-weighted imaging (DWI) and perfusion MRI before and after concurrent chemoradiotherapy (CCRT). Quantitative diffusion and perfusion parameters were analyzed to evaluate response.\"},{\"question\":\"Which quantitative perfusion parameter showed the highest diagnostic performance?\",\"answer\":\"Pretreatment Kep showed the highest diagnostic performance, with sensitivity of 100%, specificity of 80%, and an area under the curve of 0.833.\"},{\"question\":\"Did ADC values help predict treatment response in this study?\",\"answer\":\"No. ADC values did not show any significant result for evaluating treatment response of LASCC to CCRT, unlike most perfusion parameters.\"}]","Quantitative Diffusion and Perfusion MRI as Response Predictor in Cervical Squamous Cell Carcinoma Treated with CCRT - Article | PDF",1790758522,25]