The kidney imaging surveillance scoring system (KISSS): using qualitative MRI features to predict growth rate of renal tumors in patients with von-Hippel Lindau (VHL) syndrome. Gopal, N., Anari, P. Y., Chaurasia, A., Antony, M., Wakim, P., Linehan, W. M., Ball, M., Turkbey, E., & Malayeri, A. Abdominal Radiology (New York), 49(2):542–550, February, 2024. doi abstract bibtex OBJECTIVE: To determine the reliability of an MRI-based qualitative kidney imaging surveillance scoring system (KISSS) and assess which imaging features predict growth rate (GR) of renal tumors in patients with VHL. MATERIALS AND METHODS: We identified 55 patients with VHL with 128 renal tumors who underwent intervention from 2015 to 2020 at the National Cancer Institute. All patients had 2 preoperative MRIs at least 3 months apart. Two fellowship-trained radiologists scored each tumor on location and MR-sequence-specific imaging parameters from the earlier MRI. Weighted kappa was used to determine the degree of agreement between radiologists for each parameter. GR was calculated as the difference in maximum tumor dimension over time (cm/year). Differences in mean growth rate (MGR) within categories of each imaging variable were assessed by ANOVA. RESULTS: Apart from tumor margin and renal sinus, reliability was at least moderate (K \textgreater 0.40) for imaging parameters. Median initial tumor size was 2.1 cm, with average follow-up of 1.2 years. Tumor MGR was 0.42 cm/year. T2 hypointense, mixed/predominantly solid, and high restricted diffusion tumors grew faster. When comparing different combinations of these variables, the model with the lowest mean error among both radiologists utilized only solid/cystic and restricted diffusion features. CONCLUSIONS: We demonstrate a novel MR-based scoring system (KISSS) that has good precision with minimal training and can be applied to other qualitative radiology studies. A subset of imaging variables (T2 intensity; restricted diffusion; and solid/cystic) were independently associated with growth rate in VHL renal tumors, with the combination of the latter two most optimal. Additional validation, including in sporadic RCC population, is warranted.
@article{gopal_kidney_2024,
title = {The kidney imaging surveillance scoring system ({KISSS}): using qualitative {MRI} features to predict growth rate of renal tumors in patients with von-{Hippel} {Lindau} ({VHL}) syndrome},
volume = {49},
issn = {2366-0058},
shorttitle = {The kidney imaging surveillance scoring system ({KISSS})},
doi = {10.1007/s00261-023-04087-6},
abstract = {OBJECTIVE: To determine the reliability of an MRI-based qualitative kidney imaging surveillance scoring system (KISSS) and assess which imaging features predict growth rate (GR) of renal tumors in patients with VHL.
MATERIALS AND METHODS: We identified 55 patients with VHL with 128 renal tumors who underwent intervention from 2015 to 2020 at the National Cancer Institute. All patients had 2 preoperative MRIs at least 3 months apart. Two fellowship-trained radiologists scored each tumor on location and MR-sequence-specific imaging parameters from the earlier MRI. Weighted kappa was used to determine the degree of agreement between radiologists for each parameter. GR was calculated as the difference in maximum tumor dimension over time (cm/year). Differences in mean growth rate (MGR) within categories of each imaging variable were assessed by ANOVA.
RESULTS: Apart from tumor margin and renal sinus, reliability was at least moderate (K {\textgreater} 0.40) for imaging parameters. Median initial tumor size was 2.1 cm, with average follow-up of 1.2 years. Tumor MGR was 0.42 cm/year. T2 hypointense, mixed/predominantly solid, and high restricted diffusion tumors grew faster. When comparing different combinations of these variables, the model with the lowest mean error among both radiologists utilized only solid/cystic and restricted diffusion features.
CONCLUSIONS: We demonstrate a novel MR-based scoring system (KISSS) that has good precision with minimal training and can be applied to other qualitative radiology studies. A subset of imaging variables (T2 intensity; restricted diffusion; and solid/cystic) were independently associated with growth rate in VHL renal tumors, with the combination of the latter two most optimal. Additional validation, including in sporadic RCC population, is warranted.},
language = {eng},
number = {2},
journal = {Abdominal Radiology (New York)},
author = {Gopal, Nikhil and Anari, Pouria Yazdian and Chaurasia, Aditi and Antony, Maria and Wakim, Paul and Linehan, W. Marston and Ball, Mark and Turkbey, Evrim and Malayeri, Ashkan},
month = feb,
year = {2024},
pmid = {38010527},
keywords = {Clear Cell Renal Cell Carcinoma, Kidney, ccRCC},
pages = {542--550},
}
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MATERIALS AND METHODS: We identified 55 patients with VHL with 128 renal tumors who underwent intervention from 2015 to 2020 at the National Cancer Institute. All patients had 2 preoperative MRIs at least 3 months apart. Two fellowship-trained radiologists scored each tumor on location and MR-sequence-specific imaging parameters from the earlier MRI. Weighted kappa was used to determine the degree of agreement between radiologists for each parameter. GR was calculated as the difference in maximum tumor dimension over time (cm/year). Differences in mean growth rate (MGR) within categories of each imaging variable were assessed by ANOVA. RESULTS: Apart from tumor margin and renal sinus, reliability was at least moderate (K \\textgreater 0.40) for imaging parameters. Median initial tumor size was 2.1 cm, with average follow-up of 1.2 years. Tumor MGR was 0.42 cm/year. T2 hypointense, mixed/predominantly solid, and high restricted diffusion tumors grew faster. When comparing different combinations of these variables, the model with the lowest mean error among both radiologists utilized only solid/cystic and restricted diffusion features. CONCLUSIONS: We demonstrate a novel MR-based scoring system (KISSS) that has good precision with minimal training and can be applied to other qualitative radiology studies. A subset of imaging variables (T2 intensity; restricted diffusion; and solid/cystic) were independently associated with growth rate in VHL renal tumors, with the combination of the latter two most optimal. Additional validation, including in sporadic RCC population, is warranted.","language":"eng","number":"2","journal":"Abdominal Radiology (New York)","author":[{"propositions":[],"lastnames":["Gopal"],"firstnames":["Nikhil"],"suffixes":[]},{"propositions":[],"lastnames":["Anari"],"firstnames":["Pouria","Yazdian"],"suffixes":[]},{"propositions":[],"lastnames":["Chaurasia"],"firstnames":["Aditi"],"suffixes":[]},{"propositions":[],"lastnames":["Antony"],"firstnames":["Maria"],"suffixes":[]},{"propositions":[],"lastnames":["Wakim"],"firstnames":["Paul"],"suffixes":[]},{"propositions":[],"lastnames":["Linehan"],"firstnames":["W.","Marston"],"suffixes":[]},{"propositions":[],"lastnames":["Ball"],"firstnames":["Mark"],"suffixes":[]},{"propositions":[],"lastnames":["Turkbey"],"firstnames":["Evrim"],"suffixes":[]},{"propositions":[],"lastnames":["Malayeri"],"firstnames":["Ashkan"],"suffixes":[]}],"month":"February","year":"2024","pmid":"38010527","keywords":"Clear Cell Renal Cell Carcinoma, Kidney, ccRCC","pages":"542–550","bibtex":"@article{gopal_kidney_2024,\n\ttitle = {The kidney imaging surveillance scoring system ({KISSS}): using qualitative {MRI} features to predict growth rate of renal tumors in patients with von-{Hippel} {Lindau} ({VHL}) syndrome},\n\tvolume = {49},\n\tissn = {2366-0058},\n\tshorttitle = {The kidney imaging surveillance scoring system ({KISSS})},\n\tdoi = {10.1007/s00261-023-04087-6},\n\tabstract = {OBJECTIVE: To determine the reliability of an MRI-based qualitative kidney imaging surveillance scoring system (KISSS) and assess which imaging features predict growth rate (GR) of renal tumors in patients with VHL.\nMATERIALS AND METHODS: We identified 55 patients with VHL with 128 renal tumors who underwent intervention from 2015 to 2020 at the National Cancer Institute. All patients had 2 preoperative MRIs at least 3 months apart. Two fellowship-trained radiologists scored each tumor on location and MR-sequence-specific imaging parameters from the earlier MRI. Weighted kappa was used to determine the degree of agreement between radiologists for each parameter. GR was calculated as the difference in maximum tumor dimension over time (cm/year). Differences in mean growth rate (MGR) within categories of each imaging variable were assessed by ANOVA.\nRESULTS: Apart from tumor margin and renal sinus, reliability was at least moderate (K {\\textgreater} 0.40) for imaging parameters. Median initial tumor size was 2.1 cm, with average follow-up of 1.2 years. Tumor MGR was 0.42 cm/year. T2 hypointense, mixed/predominantly solid, and high restricted diffusion tumors grew faster. When comparing different combinations of these variables, the model with the lowest mean error among both radiologists utilized only solid/cystic and restricted diffusion features.\nCONCLUSIONS: We demonstrate a novel MR-based scoring system (KISSS) that has good precision with minimal training and can be applied to other qualitative radiology studies. A subset of imaging variables (T2 intensity; restricted diffusion; and solid/cystic) were independently associated with growth rate in VHL renal tumors, with the combination of the latter two most optimal. Additional validation, including in sporadic RCC population, is warranted.},\n\tlanguage = {eng},\n\tnumber = {2},\n\tjournal = {Abdominal Radiology (New York)},\n\tauthor = {Gopal, Nikhil and Anari, Pouria Yazdian and Chaurasia, Aditi and Antony, Maria and Wakim, Paul and Linehan, W. 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