High predictive ability of apparent diffusion coefficient value for wall-invasion pattern of advanced gallbladder carcinoma
Purpose The wall-invasion pattern classification of advanced gallbladder carcinoma (GBC) has been reported. However, its association with clinical findings remains unclear. We aimed to clarify relationships between clinicopathological characteristics, prognosis, and apparent diffusion coefficient (A...
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| Veröffentlicht in: | Abdominal imaging 2023-03, Vol.48 (3), p.902-912 |
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| creator | Koga, Takehiko Ishida, Yusuke Hamada, Yoshihiro Takayama, Yukihisa Tsuchiya, Naoaki Kitaguchi, Takanori Matsumoto, Keisuke Kajiwara, Masatoshi Naito, Shigetoshi Ishii, Fuminori Nakashima, Ryo Sasaki, Takahide Hirai, Fumihito |
| description | Purpose
The wall-invasion pattern classification of advanced gallbladder carcinoma (GBC) has been reported. However, its association with clinical findings remains unclear. We aimed to clarify relationships between clinicopathological characteristics, prognosis, and apparent diffusion coefficient (ADC) values of advanced GBC based on the wall-invasion pattern.
Methods
We reviewed the data of 37 patients who had undergone advanced GBC cholecystectomy at our institution between 2009 and 2021. Clinicopathological findings, prognosis, and ADC values were retrospectively analyzed.
Results
Based on the wall-invasion pattern, patients were classified into infiltrative growth (IG) type (
n
= 22) and destructive growth (DG) type (
n
= 15). In the DG-type, the incidence of venous invasion (
P
= 0.027), neural invasion (
P
= 0.008), and lymph node metastasis (
P
= 0.047) was significantly higher than in the IG-type, and recurrent-free survival (RFS) was significantly shorter (
P
= 0.015); the median RFS was 11.4 months (95% confidence interval, 6.3–16.5 months) in the DG-type and not reached in the IG-type. The ADC value in the DG-type was significantly lower than in the IG-type (median, 1.19 × 10
−3
mm
2
/s vs. 1.86 × 10
−3
mm
2
/s,
P
|
| doi_str_mv | 10.1007/s00261-023-03805-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2769592532</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2769592532</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-ed53e96f3cbd7145c17124c102f125d5d50b91f238cf73f3f43d0a8df0a4e7ef3</originalsourceid><addsrcrecordid>eNp9kU1PHSEUhkmjUaP-AReGxI2baQ8wzMeyMbY2MelG14SBwy1mLowwc43pny_ea1vjwrCAcJ7zcshDyBmDzwyg_ZIBeMMq4KIC0YGs6k_kiIumqQBkt_fmfEhOc34AANZIxrg8IIel1Ncg6yPy-8avftEpofVm9hukevCjn59pdFRPk04YZmq9c0v2MVAT0Tlv_MvtRo8LUhcTfdLjWPmw0Vtm0vOMKWwT7EYHg5auCjGM2lpM1OhkfIhrfUL2nR4znr7ux-T-2_Xd1U11-_P7j6uvt5URvJkrtFJg3zhhBtuyWhrWMl4bBtyV39iyYOiZ46IzrhVOuFpY0J11oGts0YljcrnLnVJ8XDDPau2zwXHUAeOSFW-bXvZcCl7Qi3foQ1xSKNMVqu1YGUjIQvEdZVLMOaFTU_JrnZ4VA_ViR-3sqGJHbe2oujSdv0Yvwxrtv5a_LgogdkAupbDC9P_tD2L_ALJym88</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2778132635</pqid></control><display><type>article</type><title>High predictive ability of apparent diffusion coefficient value for wall-invasion pattern of advanced gallbladder carcinoma</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Koga, Takehiko ; Ishida, Yusuke ; Hamada, Yoshihiro ; Takayama, Yukihisa ; Tsuchiya, Naoaki ; Kitaguchi, Takanori ; Matsumoto, Keisuke ; Kajiwara, Masatoshi ; Naito, Shigetoshi ; Ishii, Fuminori ; Nakashima, Ryo ; Sasaki, Takahide ; Hirai, Fumihito</creator><creatorcontrib>Koga, Takehiko ; Ishida, Yusuke ; Hamada, Yoshihiro ; Takayama, Yukihisa ; Tsuchiya, Naoaki ; Kitaguchi, Takanori ; Matsumoto, Keisuke ; Kajiwara, Masatoshi ; Naito, Shigetoshi ; Ishii, Fuminori ; Nakashima, Ryo ; Sasaki, Takahide ; Hirai, Fumihito</creatorcontrib><description>Purpose
The wall-invasion pattern classification of advanced gallbladder carcinoma (GBC) has been reported. However, its association with clinical findings remains unclear. We aimed to clarify relationships between clinicopathological characteristics, prognosis, and apparent diffusion coefficient (ADC) values of advanced GBC based on the wall-invasion pattern.
Methods
We reviewed the data of 37 patients who had undergone advanced GBC cholecystectomy at our institution between 2009 and 2021. Clinicopathological findings, prognosis, and ADC values were retrospectively analyzed.
Results
Based on the wall-invasion pattern, patients were classified into infiltrative growth (IG) type (
n
= 22) and destructive growth (DG) type (
n
= 15). In the DG-type, the incidence of venous invasion (
P
= 0.027), neural invasion (
P
= 0.008), and lymph node metastasis (
P
= 0.047) was significantly higher than in the IG-type, and recurrent-free survival (RFS) was significantly shorter (
P
= 0.015); the median RFS was 11.4 months (95% confidence interval, 6.3–16.5 months) in the DG-type and not reached in the IG-type. The ADC value in the DG-type was significantly lower than in the IG-type (median, 1.19 × 10
−3
mm
2
/s vs. 1.86 × 10
−3
mm
2
/s,
P
< 0.001). The area under the receiver operating characteristic curve for the ADC values to differentiate wall-invasion patterns was 0.95 (95% confidence interval, 0.87–1.00). The optimal cutoff ADC value was 1.45 × 10
–3
mm
2
/s (sensitivity, 92.9%; specificity, 90.9%).
Conclusions
The wall-invasion pattern of advanced GBC is associated with its aggressiveness and prognosis, and can be predicted by ADC values with high accuracy.
Graphical Abstract</description><identifier>ISSN: 2366-0058</identifier><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-023-03805-4</identifier><identifier>PMID: 36694054</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Carcinoma ; Cholecystectomy ; Confidence intervals ; Diffusion coefficient ; Diffusion Magnetic Resonance Imaging ; Gallbladder ; Gallbladder cancer ; Gallbladder Neoplasms ; Gastroenterology ; Hepatobiliary ; Hepatology ; Humans ; Imaging ; Lymph nodes ; Lymphatic Metastasis ; Medical prognosis ; Medicine ; Medicine & Public Health ; Metastases ; Pattern classification ; Prognosis ; Radiology ; Retrospective Studies</subject><ispartof>Abdominal imaging, 2023-03, Vol.48 (3), p.902-912</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-ed53e96f3cbd7145c17124c102f125d5d50b91f238cf73f3f43d0a8df0a4e7ef3</cites><orcidid>0000-0001-9409-6733 ; 0000-0002-9929-7232</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00261-023-03805-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-023-03805-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36694054$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Koga, Takehiko</creatorcontrib><creatorcontrib>Ishida, Yusuke</creatorcontrib><creatorcontrib>Hamada, Yoshihiro</creatorcontrib><creatorcontrib>Takayama, Yukihisa</creatorcontrib><creatorcontrib>Tsuchiya, Naoaki</creatorcontrib><creatorcontrib>Kitaguchi, Takanori</creatorcontrib><creatorcontrib>Matsumoto, Keisuke</creatorcontrib><creatorcontrib>Kajiwara, Masatoshi</creatorcontrib><creatorcontrib>Naito, Shigetoshi</creatorcontrib><creatorcontrib>Ishii, Fuminori</creatorcontrib><creatorcontrib>Nakashima, Ryo</creatorcontrib><creatorcontrib>Sasaki, Takahide</creatorcontrib><creatorcontrib>Hirai, Fumihito</creatorcontrib><title>High predictive ability of apparent diffusion coefficient value for wall-invasion pattern of advanced gallbladder carcinoma</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose
The wall-invasion pattern classification of advanced gallbladder carcinoma (GBC) has been reported. However, its association with clinical findings remains unclear. We aimed to clarify relationships between clinicopathological characteristics, prognosis, and apparent diffusion coefficient (ADC) values of advanced GBC based on the wall-invasion pattern.
Methods
We reviewed the data of 37 patients who had undergone advanced GBC cholecystectomy at our institution between 2009 and 2021. Clinicopathological findings, prognosis, and ADC values were retrospectively analyzed.
Results
Based on the wall-invasion pattern, patients were classified into infiltrative growth (IG) type (
n
= 22) and destructive growth (DG) type (
n
= 15). In the DG-type, the incidence of venous invasion (
P
= 0.027), neural invasion (
P
= 0.008), and lymph node metastasis (
P
= 0.047) was significantly higher than in the IG-type, and recurrent-free survival (RFS) was significantly shorter (
P
= 0.015); the median RFS was 11.4 months (95% confidence interval, 6.3–16.5 months) in the DG-type and not reached in the IG-type. The ADC value in the DG-type was significantly lower than in the IG-type (median, 1.19 × 10
−3
mm
2
/s vs. 1.86 × 10
−3
mm
2
/s,
P
< 0.001). The area under the receiver operating characteristic curve for the ADC values to differentiate wall-invasion patterns was 0.95 (95% confidence interval, 0.87–1.00). The optimal cutoff ADC value was 1.45 × 10
–3
mm
2
/s (sensitivity, 92.9%; specificity, 90.9%).
Conclusions
The wall-invasion pattern of advanced GBC is associated with its aggressiveness and prognosis, and can be predicted by ADC values with high accuracy.
Graphical Abstract</description><subject>Carcinoma</subject><subject>Cholecystectomy</subject><subject>Confidence intervals</subject><subject>Diffusion coefficient</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Gallbladder</subject><subject>Gallbladder cancer</subject><subject>Gallbladder Neoplasms</subject><subject>Gastroenterology</subject><subject>Hepatobiliary</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Lymph nodes</subject><subject>Lymphatic Metastasis</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metastases</subject><subject>Pattern classification</subject><subject>Prognosis</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><issn>2366-0058</issn><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU1PHSEUhkmjUaP-AReGxI2baQ8wzMeyMbY2MelG14SBwy1mLowwc43pny_ea1vjwrCAcJ7zcshDyBmDzwyg_ZIBeMMq4KIC0YGs6k_kiIumqQBkt_fmfEhOc34AANZIxrg8IIel1Ncg6yPy-8avftEpofVm9hukevCjn59pdFRPk04YZmq9c0v2MVAT0Tlv_MvtRo8LUhcTfdLjWPmw0Vtm0vOMKWwT7EYHg5auCjGM2lpM1OhkfIhrfUL2nR4znr7ux-T-2_Xd1U11-_P7j6uvt5URvJkrtFJg3zhhBtuyWhrWMl4bBtyV39iyYOiZ46IzrhVOuFpY0J11oGts0YljcrnLnVJ8XDDPau2zwXHUAeOSFW-bXvZcCl7Qi3foQ1xSKNMVqu1YGUjIQvEdZVLMOaFTU_JrnZ4VA_ViR-3sqGJHbe2oujSdv0Yvwxrtv5a_LgogdkAupbDC9P_tD2L_ALJym88</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Koga, Takehiko</creator><creator>Ishida, Yusuke</creator><creator>Hamada, Yoshihiro</creator><creator>Takayama, Yukihisa</creator><creator>Tsuchiya, Naoaki</creator><creator>Kitaguchi, Takanori</creator><creator>Matsumoto, Keisuke</creator><creator>Kajiwara, Masatoshi</creator><creator>Naito, Shigetoshi</creator><creator>Ishii, Fuminori</creator><creator>Nakashima, Ryo</creator><creator>Sasaki, Takahide</creator><creator>Hirai, Fumihito</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9409-6733</orcidid><orcidid>https://orcid.org/0000-0002-9929-7232</orcidid></search><sort><creationdate>20230301</creationdate><title>High predictive ability of apparent diffusion coefficient value for wall-invasion pattern of advanced gallbladder carcinoma</title><author>Koga, Takehiko ; Ishida, Yusuke ; Hamada, Yoshihiro ; Takayama, Yukihisa ; Tsuchiya, Naoaki ; Kitaguchi, Takanori ; Matsumoto, Keisuke ; Kajiwara, Masatoshi ; Naito, Shigetoshi ; Ishii, Fuminori ; Nakashima, Ryo ; Sasaki, Takahide ; Hirai, Fumihito</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-ed53e96f3cbd7145c17124c102f125d5d50b91f238cf73f3f43d0a8df0a4e7ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Carcinoma</topic><topic>Cholecystectomy</topic><topic>Confidence intervals</topic><topic>Diffusion coefficient</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Gallbladder</topic><topic>Gallbladder cancer</topic><topic>Gallbladder Neoplasms</topic><topic>Gastroenterology</topic><topic>Hepatobiliary</topic><topic>Hepatology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Lymph nodes</topic><topic>Lymphatic Metastasis</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metastases</topic><topic>Pattern classification</topic><topic>Prognosis</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koga, Takehiko</creatorcontrib><creatorcontrib>Ishida, Yusuke</creatorcontrib><creatorcontrib>Hamada, Yoshihiro</creatorcontrib><creatorcontrib>Takayama, Yukihisa</creatorcontrib><creatorcontrib>Tsuchiya, Naoaki</creatorcontrib><creatorcontrib>Kitaguchi, Takanori</creatorcontrib><creatorcontrib>Matsumoto, Keisuke</creatorcontrib><creatorcontrib>Kajiwara, Masatoshi</creatorcontrib><creatorcontrib>Naito, Shigetoshi</creatorcontrib><creatorcontrib>Ishii, Fuminori</creatorcontrib><creatorcontrib>Nakashima, Ryo</creatorcontrib><creatorcontrib>Sasaki, Takahide</creatorcontrib><creatorcontrib>Hirai, Fumihito</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koga, Takehiko</au><au>Ishida, Yusuke</au><au>Hamada, Yoshihiro</au><au>Takayama, Yukihisa</au><au>Tsuchiya, Naoaki</au><au>Kitaguchi, Takanori</au><au>Matsumoto, Keisuke</au><au>Kajiwara, Masatoshi</au><au>Naito, Shigetoshi</au><au>Ishii, Fuminori</au><au>Nakashima, Ryo</au><au>Sasaki, Takahide</au><au>Hirai, Fumihito</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High predictive ability of apparent diffusion coefficient value for wall-invasion pattern of advanced gallbladder carcinoma</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2023-03-01</date><risdate>2023</risdate><volume>48</volume><issue>3</issue><spage>902</spage><epage>912</epage><pages>902-912</pages><issn>2366-0058</issn><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Purpose
The wall-invasion pattern classification of advanced gallbladder carcinoma (GBC) has been reported. However, its association with clinical findings remains unclear. We aimed to clarify relationships between clinicopathological characteristics, prognosis, and apparent diffusion coefficient (ADC) values of advanced GBC based on the wall-invasion pattern.
Methods
We reviewed the data of 37 patients who had undergone advanced GBC cholecystectomy at our institution between 2009 and 2021. Clinicopathological findings, prognosis, and ADC values were retrospectively analyzed.
Results
Based on the wall-invasion pattern, patients were classified into infiltrative growth (IG) type (
n
= 22) and destructive growth (DG) type (
n
= 15). In the DG-type, the incidence of venous invasion (
P
= 0.027), neural invasion (
P
= 0.008), and lymph node metastasis (
P
= 0.047) was significantly higher than in the IG-type, and recurrent-free survival (RFS) was significantly shorter (
P
= 0.015); the median RFS was 11.4 months (95% confidence interval, 6.3–16.5 months) in the DG-type and not reached in the IG-type. The ADC value in the DG-type was significantly lower than in the IG-type (median, 1.19 × 10
−3
mm
2
/s vs. 1.86 × 10
−3
mm
2
/s,
P
< 0.001). The area under the receiver operating characteristic curve for the ADC values to differentiate wall-invasion patterns was 0.95 (95% confidence interval, 0.87–1.00). The optimal cutoff ADC value was 1.45 × 10
–3
mm
2
/s (sensitivity, 92.9%; specificity, 90.9%).
Conclusions
The wall-invasion pattern of advanced GBC is associated with its aggressiveness and prognosis, and can be predicted by ADC values with high accuracy.
Graphical Abstract</abstract><cop>New York</cop><pub>Springer US</pub><pmid>36694054</pmid><doi>10.1007/s00261-023-03805-4</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-9409-6733</orcidid><orcidid>https://orcid.org/0000-0002-9929-7232</orcidid></addata></record> |
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| ispartof | Abdominal imaging, 2023-03, Vol.48 (3), p.902-912 |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Carcinoma Cholecystectomy Confidence intervals Diffusion coefficient Diffusion Magnetic Resonance Imaging Gallbladder Gallbladder cancer Gallbladder Neoplasms Gastroenterology Hepatobiliary Hepatology Humans Imaging Lymph nodes Lymphatic Metastasis Medical prognosis Medicine Medicine & Public Health Metastases Pattern classification Prognosis Radiology Retrospective Studies |
| title | High predictive ability of apparent diffusion coefficient value for wall-invasion pattern of advanced gallbladder carcinoma |
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