2022
DOI: 10.1007/s11547-022-01482-9
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Radiomics-based prediction of two-year clinical outcome in locally advanced cervical cancer patients undergoing neoadjuvant chemoradiotherapy

Abstract: Purpose The aim of this study is to determine if radiomics features extracted from staging magnetic resonance (MR) images could predict 2-year long-term clinical outcome in patients with locally advanced cervical cancer (LACC) after neoadjuvant chemoradiotherapy (NACRT). Materials and methods We retrospectively enrolled patients with LACC diagnosis who underwent NACRT followed by radical surgery in two different institutions. Radiomics featur… Show more

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Cited by 32 publications
(22 citation statements)
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References 51 publications
(19 reference statements)
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“…Recently, Autorino et al proposed a radiomic model to predict 2 years OS in LACC patients before or during RTCT, and it could be of added clinical value to provide guidance for clinicians in their decision-making process to adapt and tailor treatment [ 46 ]. However, prospective and multicentric larger trials are needed to validate this model and eventually translate it into clinical practice.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, Autorino et al proposed a radiomic model to predict 2 years OS in LACC patients before or during RTCT, and it could be of added clinical value to provide guidance for clinicians in their decision-making process to adapt and tailor treatment [ 46 ]. However, prospective and multicentric larger trials are needed to validate this model and eventually translate it into clinical practice.…”
Section: Discussionmentioning
confidence: 99%
“…With such techniques, it is also possible to derive information directly from the images on the molecular and genomic characteristics of the tumor (radiogenomics) with the ultimate intent of extracting indications on aggressiveness, prognosis, and therapeutic response [ 77 , 133 , 201 , 202 , 203 , 204 , 205 , 206 , 207 , 208 , 209 , 210 , 211 , 212 , 213 , 214 , 215 , 216 , 217 , 218 , 219 , 220 , 221 , 222 , 223 , 224 , 225 , 226 , 227 , 228 , 229 , 230 , 231 , 232 ].…”
Section: Precision Medicine: Radiomics and Radiogenomics—the New Fron...mentioning
confidence: 99%
“…Several reports have described the role of radiomics as a precision medicine tool [ 102 , 103 ], that could influence therapeutic approaches in RC [ 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 , 112 , 113 , 114 , 115 ]. Recently, the idea that imaging studies contain a great quantity of data, in the form of grey-level patterns, which are imperceptible to the human eyes, has become more and more interesting [ 116 , 117 , 118 , 119 , 120 , 121 , 122 , 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 , 132 , 133 , 134 ].…”
Section: Common Postoperative Complicationsmentioning
confidence: 99%
“…For several tumors, radiomic analyses have already provided an accurate evaluation of biology, allowing the identification of indices correlated with clinical outcomes [ 184 , 185 , 186 , 187 , 188 , 189 , 190 , 191 , 192 ]. Imaging features and texture analysis (TA) built on MR images proved to be able to intercept the therapeutic response to nCRT and tumor recurrence in patients with LARC [ 111 , 112 , 113 , 114 , 115 ]. These preliminary data suggest that it is possible to accurately select patients, building customized, increasingly organ-sparing, diagnostic and therapeutic pathways.…”
Section: Common Postoperative Complicationsmentioning
confidence: 99%